{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5f2e13d4-086f-479f-b7a7-fc441ee71d07",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Batch QC"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9af15ac0",
   "metadata": {},
   "source": [
    "This part shows how to perform quality control on batch effection.\n",
    "\n",
    "As genomic sequencing technology develops, multi-batch joint analysis of gene expression data can maximize the scientific value in the data set, supporting researchers in discovering more significant biological topics. However, joint analysis usually misses batch effects caused by abiotic deviations such as external noise in integrated data. When the batch effect makes an impact on the results of an experiment, the downstream analytical conclusion, if not the wrong experimental result, could have been incorrect.\n",
    "\n",
    "As a result, prior to data integration and processing, the batch effects in the data should be thoroughly investigated. We developed the BatchEval Pipeline, which is suitable for massive data integration, for evaluating batch effects in data and provide examination conclusions. The BatchEval Pipeline analyses multiple batches of data from multiple perspectives to detect how it affects of batch effects on integrated data. BatchEval Pipeline generates an HTML webpage report output for the assessment findings, which includes a basic explanation of the data, statistical analysis, a batch effect metric score, and visualization. BatchEval Pipeline analyses integrated data from multiple perspectives to determine whether it has to be corrected in an additional step employing batch effect removal approaches and how to do so, which is essential for downstream analysis [[Zhang23](https://www.biorxiv.org/content/10.1101/2023.10.08.561465v2)]."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "086b62ac",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\">\n",
    "\n",
    "**Note**\n",
    "\n",
    "**Torch** is necessary for **Batch QC**:\n",
    "\n",
    "        CPU: pip install torch==2.4.1+cpu --extra-index-url https://download.pytorch.org/whl\n",
    "\n",
    "        GPU(CUDA11): pip install torch==2.4.1+cu118 --extra-index-url https://download.pytorch.org/whl/\n",
    "\n",
    "        GPU(CUDA12): pip install torch==2.4.1+cu124 --extra-index-url https://download.pytorch.org/whl/\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad6b2cb8-aa8a-4e1f-8b11-fb958d7904f0",
   "metadata": {},
   "source": [
    "## MSData construction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80bf0bab",
   "metadata": {},
   "source": [
    "Here we use demo data of olfactory bulb. Download the [example data](http://upload.dcs.cloud:8090/share/bb6fab82-2c16-46b2-a95e-6931338f31bf) first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1d515eb9-b23b-45de-95bb-cb055f653edf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-29T10:12:24.684679Z",
     "iopub.status.busy": "2023-06-29T10:12:24.684191Z",
     "iopub.status.idle": "2023-06-29T10:12:40.906074Z",
     "shell.execute_reply": "2023-06-29T10:12:40.905255Z",
     "shell.execute_reply.started": "2023-06-29T10:12:24.684638Z"
    },
    "tags": []
   },
   "outputs": [
    {
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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.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.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(\"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.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(\"\\n    .bk.pn-loading.arcs:before {\\n      background-image: url(\\\"data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHhtbG5zOnhsaW5rPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5L3hsaW5rIiBzdHlsZT0ibWFyZ2luOiBhdXRvOyBiYWNrZ3JvdW5kOiBub25lOyBkaXNwbGF5OiBibG9jazsgc2hhcGUtcmVuZGVyaW5nOiBhdXRvOyIgdmlld0JveD0iMCAwIDEwMCAxMDAiIHByZXNlcnZlQXNwZWN0UmF0aW89InhNaWRZTWlkIj4gIDxjaXJjbGUgY3g9IjUwIiBjeT0iNTAiIHI9IjMyIiBzdHJva2Utd2lkdGg9IjgiIHN0cm9rZT0iI2MzYzNjMyIgc3Ryb2tlLWRhc2hhcnJheT0iNTAuMjY1NDgyNDU3NDM2NjkgNTAuMjY1NDgyNDU3NDM2NjkiIGZpbGw9Im5vbmUiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCI+ICAgIDxhbmltYXRlVHJhbnNmb3JtIGF0dHJpYnV0ZU5hbWU9InRyYW5zZm9ybSIgdHlwZT0icm90YXRlIiByZXBlYXRDb3VudD0iaW5kZWZpbml0ZSIgZHVyPSIxcyIga2V5VGltZXM9IjA7MSIgdmFsdWVzPSIwIDUwIDUwOzM2MCA1MCA1MCI+PC9hbmltYXRlVHJhbnNmb3JtPiAgPC9jaXJjbGU+PC9zdmc+\\\");\\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) 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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 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m(t,{},e)},n.sized=m;class y{constructor(t){this.root=t,this.known=new Set,this.style=(0,n.style)({type:\"text/css\"}),c(t,this.style)}append(t){this.known.has(t)||(this.style.appendChild(document.createTextNode(t)),this.known.add(t))}}n.StyleSheet=y,y.__name__=\"StyleSheet\",n.stylesheet=new y(document.head),n.dom_ready=async function(){if(\"loading\"==document.readyState)return new Promise(((t,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<t;r++){const t=this.hatch_color.get(r),i=this.hatch_alpha.get(r),h=this.hatch_scale.get(r);e(this.hatch_pattern.get(r),t,i,h,this.hatch_weight.get(r),(t=>{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<e.length;n++)t[n]=r(e[n]);return t}invert(e){return this.s_invert(e)}v_invert(e){const t=new Float64Array(e.length),{s_invert:r}=this;for(let n=0;n<e.length;n++)t[n]=r(e[n]);return t}r_compute(e,t){const{s_compute:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}r_invert(e,t){const{s_invert:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}}r.Scale=u,_=u,u.__name__=\"Scale\",_.internal((({Ref:e})=>({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 e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=d.empty();for(const[i,n]of t)i.visible&&(a=d.union(a,n));return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,l;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,h.logger.warn(`could not determine minimum data value for log axis, DataRange1d using value ${t}`)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,h.logger.warn(`could not determine maximum data value for log axis, DataRange1d using value ${i}`)),i==t)l=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),l=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),l=a-e),s=(e+a)/2}e=10**(s-l/2),a=10**(s+l/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const l=this.follow_interval;return null!=l&&Math.abs(e-a)>l&&(\"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 t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.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.x1<this.x0||t.x0>this.x1||t.y1<this.y0||t.y0>this.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;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=o,o.__name__=\"BBox\"},\n      function _(n,e,t,r,u){r();const l=n(9);t.compute_renderers=function(n,e,t){if(null==n)return[];let r=\"auto\"==n?e:n;return t.length>0&&(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;s<t.length;s++){const r=t[s];if(i.has(r))throw new Error(`duplicate factor or subfactor: ${r}`);i.set(r,{value:.5+s*(1+n)+e})}return[i,(t.length-1)*n]}function d(t,n,e,i=0){var s;const r=new Map,a=new Map;for(const[n,e]of t){const t=null!==(s=a.get(n))&&void 0!==s?s:[];a.set(n,[...t,e])}let o=i,g=0;for(const[t,i]of a){const s=i.length,[a,p]=h(i,e,o);g+=p;const l=(0,c.sum)(i.map((t=>a.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<n;i++)e[i]=this.synthetic(t[i]);return e}_init(t){const{levels:n,mapping:e,tops:i,mids:s,inside_padding:r}=(()=>{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<n;t++)_[t]=Math.PI/2+(0,v.atan2)([e[t],s[t]],[a[t],i[t]])}paint(t){const{start:e,end:s}=this,{_sx_start:a,_sy_start:i,_sx_end:n,_sy_end:_,_angles:r}=this,{x:o,y:l,width:d,height:h}=this.plot_view.frame.bbox;for(let c=0,u=a.length;c<u;c++)null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.render(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.render(t,c),t.restore()),this.visuals.line.doit&&(t.save(),null==e&&null==s||(t.beginPath(),t.rect(o,l,d,h),null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.clip(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.clip(t,c),t.restore()),t.closePath(),t.clip()),this.visuals.line.set_vectorize(t,c),t.beginPath(),t.moveTo(a[c],i[c]),t.lineTo(n[c],_[c]),t.stroke(),t.restore())}}s.ArrowView=p,p.__name__=\"ArrowView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.Arrow=x,_=x,x.__name__=\"Arrow\",_.prototype.default_view=p,_.mixins(l.LineVector),_.define((({Ref:t,Nullable:e})=>({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 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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 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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<e?(l=new t.constructor(e),l.set(t,0)):l=t;for(let t=o,n=r;t<n;t++)l[t-o]=l[t];for(let t=0,e=n.length;t<e;t++)l[t+(r-o)]=n[t];return l}{const e=new t.constructor(n);return u.concat(t,e)}}throw new Error(\"unsupported array types\")}function m(t,n){let e,s,o;return(0,i.isNumber)(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function _(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,c,a;if((0,i.isArray)(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],a=r,2===o.length?(n=[1,n[0]],c=[o[0],0,o[1]]):c=o}else(0,i.isNumber)(o)?(a=[r],e.add(o)):(a=r,s=!0),c=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,d,f]=m(c[1],n[0]),[_,p,g]=m(c[2],n[1]);for(let t=h;t<d;t+=f)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=a[u],u++}return e}e.stream_to_column=f,e.slice=m,e.patch_to_column=_;class p extends c.ColumnarDataSource{constructor(t){super(t)}stream(t,n,e){const{data:s}=this;for(const[e,o]of(0,a.entries)(t))s[e]=f(s[e],o,n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new d.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of(0,a.entries)(t))s=(0,h.union)(s,_(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new d.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=p,l=p,p.__name__=\"ColumnDataSource\",l.define((({Dict:t,Any:n})=>({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 e<n&&n<o},function(n){function t(n,t,o,r){const c=g(n.length,t.length);o=null!=o?o:n,r=null!=r?r:t;for(let l=0;l<c;l++){const c=n[l],i=t[l],[u,a]=e.wgs84_mercator.compute(c,i);o[l]=u,r[l]=a}}n.project_xy=t,n.project_xsys=function(n,e,o,r){const c=g(n.length,e.length);o=null!=o?o:n,r=null!=r?r:e;for(let l=0;l<c;l++)t(n[l],e[l],o[l],r[l])}}(e.inplace||(e.inplace={})),e.project_xy=m,e.project_xsys=function(n,t){const e=g(n.length,t.length),o=new Array(e),r=new Array(e);for(let c=0;c<e;c++){const[e,l]=m(n[c],t[c]);o[c]=e,r[c]=l}return[o,r]}},\n      function _(e,n,t,r,o){r();const a=e(1),i=(0,a.__importDefault)(e(80)),c=(0,a.__importDefault)(e(106));var u=(0,i.default)(\"WGS84\");function f(e,n,t,r){var o,a,i;return Array.isArray(t)?(o=(0,c.default)(e,n,t,r)||{x:NaN,y:NaN},t.length>2?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 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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 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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 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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;++f<a.length;)if((t=a[f]).toLowerCase().replace(o,\"\")===n)return e[t]}},\n      function _(e,a,t,o,n){o();const r=e(1);const l=(0,r.__importDefault)(e(90)),d=e(91);function i(e){return.017453292519943295*e}t.default=function(e){var a=(0,l.default)(e),t=a.shift(),o=a.shift();a.unshift([\"name\",o]),a.unshift([\"type\",t]);var n={};return(0,d.sExpr)(a,n),function(e){if(\"GEOGCS\"===e.type?e.projName=\"longlat\":\"LOCAL_CS\"===e.type?(e.projName=\"identity\",e.local=!0):\"object\"==typeof e.PROJECTION?e.projName=Object.keys(e.PROJECTION)[0]:e.projName=e.PROJECTION,e.AXIS){for(var a=\"\",t=0,o=e.AXIS.length;t<o;++t){var 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a[r]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&E(e[3],a[r]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void n(a,r,e);default:for(s=-1;++s<e.length;)if(!Array.isArray(e[s]))return E(e,a[r]);return n(a,r,e)}}else a[r]=e;else a[r]=!0}else a[e]=!0}s(),r.sExpr=E},\n      function _(n,r,f,i,t){i(),f.default=function(n,r){var f,i;if(n=n||{},!r)return n;for(i in r)void 0!==(f=r[i])&&(n[i]=f);return n}},\n      function _(t,o,a,e,n){e();const r=t(1),f=(0,r.__importDefault)(t(94)),u=(0,r.__importDefault)(t(100));var i=[f.default,u.default],c={},d=[];function s(t,o){var a=d.length;return t.names?(d[a]=t,t.names.forEach((function(t){c[t.toLowerCase()]=a})),this):(console.log(o),!0)}function l(t){if(!t)return!1;var o=t.toLowerCase();return void 0!==c[o]&&d[c[o]]?d[c[o]]:void 0}function v(){i.forEach(s)}a.add=s,a.get=l,a.start=v,a.default={start:v,add:s,get:l}},\n      function _(t,i,s,h,a){h();const e=t(1),r=(0,e.__importDefault)(t(95)),n=(0,e.__importDefault)(t(96)),l=(0,e.__importDefault)(t(98)),u=(0,e.__importDefault)(t(99)),o=t(85);function f(){var t=this.b/this.a;this.es=1-t*t,\"x0\"in this||(this.x0=0),\"y0\"in this||(this.y0=0),this.e=Math.sqrt(this.es),this.lat_ts?this.sphere?this.k0=Math.cos(this.lat_ts):this.k0=(0,r.default)(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)):this.k0||(this.k?this.k0=this.k:this.k0=1)}function _(t){var i,s,h=t.x,a=t.y;if(a*o.R2D>90&&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 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_(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<o;e++)t.fillText(h[e],i,z),i+=_[e]+l;z+=x.height+a}else for(let e=0;e<_;e++){const s=v+(()=>{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<s&&(n=s,t.width=s),r<u&&(r=u,t.height=u),e.save(),e.scale(a,a),e.fillStyle=\"#f00\",e.fillRect(0,0,s,u);const f=t=>{let e=0;for(let n=0;n<=i;n++)for(let r=0;r<s;r++,e+=4)if(255!=t[e])return i-n;return 0};e.font=l,e.fillStyle=\"#000\";for(const t of\"xa\")e.fillText(t,0,i/a);const{data:h}=e.getImageData(0,0,s,u),g=f(h)/a;for(const t of\"ASQ\")e.fillText(t,0,i/a);const{data:d}=e.getImageData(0,0,s,u),x=f(d)/a;for(const t of\"\\xc5\\u015agy\")e.fillText(t,0,i/a);const{data:m}=e.getImageData(0,0,s,u),B=f(m)/a,w=(t=>{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r<s;r++,e-=4)if(255!=t[e])return n-i;return 0})(m)/a;return e.restore(),{height:B+w,ascent:B,cap_height:x,x_height:g,descent:w}}})(),i=(()=>{const t=document.createElement(\"canvas\"),e=t.getContext(\"2d\");let 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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<c;o++){const c=t[o],p=s[o];t[o]=r*c+i*p+a,s[o]=n*c+e*p+h}}transform(t,s,r,n,i,e){const{a,b:h,c,d:o,e:p,f}=this;return this.a=a*t+c*s,this.c=a*r+c*n,this.e=a*i+c*e+p,this.b=h*t+o*s,this.d=h*r+o*n,this.f=h*i+o*e+f,this}translate(t,s){return this.transform(1,0,0,1,t,s)}scale(t,s){return this.transform(t,0,0,s,0,0)}skew(t,s){return this.transform(1,s,t,1,0,0)}rotate(t){const s=e(t),r=a(t);return this.transform(r,s,-s,r,0,0)}rotate_ccw(t){return this.rotate(-t)}translate_x(t){return this.translate(t,0)}translate_y(t){return this.translate(0,t)}flip(){return this.scale(-1,-1)}flip_x(){return this.scale(1,-1)}flip_y(){return this.scale(-1,1)}}r.AffineTransform=h,h.__name__=\"AffineTransform\"},\n      function _(t,e,i,l,r){l();const a=t(124),o=t(125),n=t(8),h=Math.PI/2,s={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},c={above:{parallel:\"bottom\",normal:\"center\",horizontal:\"bottom\",vertical:\"center\"},below:{parallel:\"top\",normal:\"center\",horizontal:\"top\",vertical:\"center\"},left:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"},right:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"}},g={above:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},below:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},left:{parallel:\"center\",normal:\"right\",horizontal:\"right\",vertical:\"center\"},right:{parallel:\"center\",normal:\"left\",horizontal:\"left\",vertical:\"center\"}},_={above:\"right\",below:\"left\",left:\"right\",right:\"left\"},b={above:\"left\",below:\"right\",left:\"right\",right:\"left\"};class z{constructor(t){this.side=t}get dimension(){return\"above\"==this.side||\"below\"==this.side?0:1}get normals(){switch(this.side){case\"above\":return[0,-1];case\"below\":return[0,1];case\"left\":return[-1,0];case\"right\":return[1,0]}}get orientation(){return this.is_horizontal?\"horizontal\":\"vertical\"}get is_horizontal(){return 0==this.dimension}get is_vertical(){return 1==this.dimension}get_label_text_heuristics(t){const{side:e}=this;return(0,n.isString)(t)?{vertical_align:c[e][t],align:g[e][t]}:{vertical_align:\"center\",align:(t<0?_:b)[e]}}get_label_angle_heuristic(t){return(0,n.isString)(t)?s[this.side][t]:-t}}i.Panel=z,z.__name__=\"Panel\";class m extends o.ContentLayoutable{constructor(t,e,i=!1){super(),this.panel=t,this.get_size=e,this.rotate=i,this.panel.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){const{width:t,height:e}=this.get_size();return!this.rotate||this.panel.is_horizontal?new a.Sizeable({width:t,height:e}):new a.Sizeable({width:e,height:t})}has_size_changed(){const{width:t,height:e}=this._content_size();return this.panel.is_horizontal?this.bbox.height!=e:this.bbox.width!=t}}i.SideLayout=m,m.__name__=\"SideLayout\"},\n      function _(h,t,i,e,w){e();const n=h(21),{min:d,max:s}=Math;class g{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new g({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new g({width:h!=1/0?s(this.width,h):this.width,height:t!=1/0?s(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=s(this.width,h),this.height=s(this.height,t)}narrowed_to({width:h,height:t}){return new g({width:d(this.width,h),height:d(this.height,t)})}narrow_to({width:h,height:t}){this.width=d(this.width,h),this.height=d(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,n=this.height+i+e;return new g({width:w,height:n})}shrink_by({left:h,right:t,top:i,bottom:e}){const w=s(this.width-h-t,0),n=s(this.height-i-e,0);return new g({width:w,height:n})}map(h,t){return new g({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=g,g.__name__=\"Sizeable\",i.SizingPolicy=(0,n.Enum)(\"fixed\",\"fit\",\"min\",\"max\")},\n      function _(i,t,h,e,n){e();const s=i(124),r=i(65),g=i(8),{min:l,max:a,round:_}=Math;class o{constructor(){this.absolute=!1,this._bbox=new r.BBox,this._inner_bbox=new r.BBox,this._dirty=!1,this._handlers=[]}*[Symbol.iterator](){}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set visible(i){this._sizing.visible=i,this._dirty=!0}set_sizing(i){var t,h,e,n,s;const r=null!==(t=i.width_policy)&&void 0!==t?t:\"fit\",g=i.width,l=i.min_width,a=i.max_width,_=null!==(h=i.height_policy)&&void 0!==h?h:\"fit\",o=i.height,d=i.min_height,u=i.max_height,c=i.aspect,w=null!==(e=i.margin)&&void 0!==e?e:{top:0,right:0,bottom:0,left:0},m=!1!==i.visible,x=null!==(n=i.halign)&&void 0!==n?n:\"start\",b=null!==(s=i.valign)&&void 0!==s?s:\"start\";this._sizing={width_policy:r,min_width:l,width:g,max_width:a,height_policy:_,min_height:d,height:o,max_height:u,aspect:c,margin:w,visible:m,halign:x,valign:b,size:{width:g,height:o}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){const{fixup_geometry:h}=this;null!=h&&([i,t]=h(i,t)),this._set_geometry(i,null!=t?t:i);for(const i of this._handlers)i(this._bbox,this._inner_bbox)}on_resize(i){this._handlers.push(i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:n,height_policy:s}=this.sizing,r=(i,t)=>{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;e<a.length;e++){const i=Math.round(a[e]+l*_),s=Math.round(o[e]+n*r);t.lineTo(i,s)}t.stroke()}_draw_major_ticks(t,e,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,o=this.visuals.major_tick_line;this._draw_ticks(t,i.major,s,a,o)}_draw_minor_ticks(t,e,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,o=this.visuals.minor_tick_line;this._draw_ticks(t,i.minor,s,a,o)}_draw_major_labels(t,e,i){const s=i.major,a=this.compute_labels(s[this.dimension]),o=this.model.major_label_orientation,l=e.tick+this.model.major_label_standoff,n=this.visuals.major_label_text;this._draw_oriented_labels(t,a,s,o,this.panel.side,l,n)}_axis_label_extent(){if(null==this._axis_label_view)return 0;const t=this._axis_label_view.graphics();t.visuals=this.visuals.axis_label_text.values(),t.angle=this.panel.get_label_angle_heuristic(\"parallel\"),(0,f.isNumber)(this.plot_view.base_font_size)&&(t.base_font_size=this.plot_view.base_font_size);const e=t.size(),i=0==this.dimension?e.height:e.width,s=this.model.axis_label_standoff;return i>0?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;e<n.length;e++){const i=Math.round(n[e]+d),s=Math.round(_[e]+x),a=Math.round(n[e]+u),o=Math.round(_[e]+m);t.moveTo(i,s),t.lineTo(a,o)}t.stroke()}_draw_oriented_labels(t,e,i,s,a,o,l){if(!l.doit||0==e.length)return;const[n,_]=i,[r,h]=this.coordinates.map_to_screen(n,_),[c,b]=this.offsets,[m,d]=this.normals,x=m*(c+o),f=d*(b+o),{vertical_align:p,align:v}=this.panel.get_label_text_heuristics(s),w=this.panel.get_label_angle_heuristic(s);e.visuals=l.values(),e.angle=w,e.base_font_size=this.plot_view.base_font_size;for(let t=0;t<e.length;t++){const i=e.items[t];i.position={sx:r[t]+x,sy:h[t]+f,x_anchor:v,y_anchor:p},i instanceof g.TextBox&&(i.align=v)}const j=e.length,k=u.Indices.all_set(j),{items:y}=e,z=y.map((t=>t.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;a<t.length;a++){const o=i.get(t[a].toString());null!=o&&(s.add(o),e[a]=o.graphics())}for(const t of this._major_label_views.values())s.has(t)||(t._has_finished=!0);return new g.GraphicsBoxes(e)}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:t}=this.plot_view;let[e,i]=[0,0];switch(this.panel.side){case\"below\":i=z(this.layout.bbox.top-t.bbox.bottom);break;case\"above\":i=z(this.layout.bbox.bottom-t.bbox.top);break;case\"right\":e=z(this.layout.bbox.left-t.bbox.right);break;case\"left\":e=z(this.layout.bbox.right-t.bbox.left)}return[e,i]}get ranges(){const t=this.dimension,e=(t+1)%2,{ranges:i}=this.coordinates;return[i[t],i[e]]}get computed_bounds(){const[t]=this.ranges,e=this.model.bounds,i=[t.min,t.max];if(\"auto\"==e)return[t.min,t.max];{let t,s;const[a,o]=e,[l,n]=i,{min:_,max:r}=Math;return z(a-o)>z(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;i<l.length;i++)l[i]<h||l[i]>c||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(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)<t?e.unset(n):i=n;return e}}s.NoOverlap=m,c=m,m.__name__=\"NoOverlap\",c.define((({Number:e})=>({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;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const p=(e.synthetic(s)+e.synthetic(o))/2;p>i&&p<r&&(_[a].push(p),_[l].push(this.loc))}const p=this.extents.tick_label;this._draw_ticks(t,_,-3,p-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_labels[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e),r=this.tick_coords,a=[],l=t=>new 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&&t<s&&e.push(r)}return e}}o.CategoricalTicker=i,i.__name__=\"CategoricalTicker\"},\n      function _(t,r,o,c,a){c();const e=t(131),n=t(9);class i extends e.TickFormatter{constructor(t){super(t)}doFormat(t,r){return(0,n.copy)(t)}}o.CategoricalTickFormatter=i,i.__name__=\"CategoricalTickFormatter\"},\n      function _(s,n,i,o,u){o();const e=s(128);class t extends e.AxisView{}i.ContinuousAxisView=t,t.__name__=\"ContinuousAxisView\";class _ extends e.Axis{constructor(s){super(s)}}i.ContinuousAxis=_,_.__name__=\"ContinuousAxis\"},\n      function _(e,t,i,a,r){var s;a();const n=e(145),m=e(150),_=e(155);class c extends n.LinearAxisView{}i.DatetimeAxisView=c,c.__name__=\"DatetimeAxisView\";class o extends n.LinearAxis{constructor(e){super(e)}}i.DatetimeAxis=o,s=o,o.__name__=\"DatetimeAxis\",s.prototype.default_view=c,s.override({ticker:()=>new _.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<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=o;break}e[0]=(0,c.to_fixed)(i[0],o);for(let t=1;t<i.length;t++)if(e[t]=(0,c.to_fixed)(i[t],o),e[t]==e[t-1])continue i;this.last_precision=o;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),n=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,n)}}e.BasicTickFormatter=a,r=a,a.__name__=\"BasicTickFormatter\",r.define((({Boolean:i,Int:t,Auto:e,Or:n})=>({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 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It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=a.cultureData(n)}catch(e){c=a.cultureData(a.culture())}return i=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,r=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===i))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(r+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>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 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c.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:T.ONE_HOUR,max_interval:12*T.ONE_HOUR,num_minor_ticks:0}),new _.DaysTicker({days:(0,t.range)(1,32)}),new _.DaysTicker({days:(0,t.range)(1,31,3)}),new _.DaysTicker({days:[1,8,15,22]}),new _.DaysTicker({days:[1,15]}),new k.MonthsTicker({months:(0,t.range)(0,12,1)}),new k.MonthsTicker({months:(0,t.range)(0,12,2)}),new k.MonthsTicker({months:(0,t.range)(0,12,4)}),new k.MonthsTicker({months:(0,t.range)(0,12,6)}),new o.YearsTicker({})]})},\n      function _(t,e,i,r,s){var n;r();const _=t(149),a=t(9);class l extends _.ContinuousTicker{constructor(t){super(t)}get min_intervals(){return this.tickers.map((t=>t.get_min_interval()))}get max_intervals(){return this.tickers.map((t=>t.get_max_interval()))}get_min_interval(){return this.min_intervals[0]}get_max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const 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N(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 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l.TextBox({text:(0,s.unicode_replace)(`${r}`)}),n=new l.TextBox({text:(0,s.unicode_replace)(`${e}`)});return new l.BaseExpo(t,n)}}))}_exponents(e,t){let n=null;const o=[];for(const r of e){const e=_(x(r)/x(t));if(n==e)return null;n=e,o.push(e)}return o}doFormat(e,t){var n,o;if(0==e.length)return[];const r=null!==(o=null===(n=this.ticker)||void 0===n?void 0:n.base)&&void 0!==o?o:10,i=this._exponents(e,r);return null==i?this.basic_formatter.doFormat(e,t):i.map((e=>u(e)<this.min_exponent?(0,s.unicode_replace)(`${r**e}`):(0,s.unicode_replace)(`${r}^${e}`)))}}n.LogTickFormatter=p,i=p,p.__name__=\"LogTickFormatter\",i.define((({Int:e,Ref:t,Nullable:n})=>({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<e;n++){const[e]=a.wgs84_mercator.invert(r[n],t.loc);o[n]=e}else for(let n=0;n<e;n++){const[,e]=a.wgs84_mercator.invert(t.loc,r[n]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=l,i=l,l.__name__=\"MercatorTickFormatter\",i.define((({Nullable:r})=>({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<s.length;e+=l)_.push(s[e]);return{major:_,minor:[]}}}t.BinnedTicker=m,o=m,m.__name__=\"BinnedTicker\",o.define((({Number:e,Ref:n,Or:t,Auto:r})=>({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(n<o.binning[0])return i;if(n>o.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<i;n++){const i=t[n];isNaN(i)?e[n]=s:e[n]=this.cmap(i,o,l,c,this._scan_data)}}_colors(t){return Object.assign(Object.assign({},super._colors(t)),{low_color:null!=this.low_color?t(this.low_color):void 0,high_color:null!=this.high_color?t(this.high_color):void 0})}}o.ContinuousColorMapper=r,l=r,r.__name__=\"ContinuousColorMapper\",l.define((({Number:t,String:e,Ref:o,Color:n,Or:s,Tuple:l,Array:c,Nullable:a})=>({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;t<n;t++)r[t]=p(e[t]);return r}t._convert_color=p,t._convert_palette=u;class h extends c.Mapper{constructor(e){super(e)}initialize(){super.initialize(),this.metrics_change=new i.Signal0(this,\"metrics_change\")}v_compute(e){const r=new Array(e.length);return this._v_compute(e,r,this.palette,this._colors((e=>e))),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<l;e+=s)this.decimated.set(e);this.plot_view.invalidate_dataranges=!0}set_visuals(){var e;const t=this.model.data_source,{all_indices:i}=this;this.glyph.set_visuals(t,i),this.decimated_glyph.set_visuals(t,i),this.selection_glyph.set_visuals(t,i),this.nonselection_glyph.set_visuals(t,i),null===(e=this.hover_glyph)||void 0===e||e.set_visuals(t,i),this.muted_glyph.set_visuals(t,i)}get has_webgl(){return this.glyph.has_webgl}_render(){const e=this.has_webgl;this.glyph.map_data();const t=[...this.all_indices];let i=[...this._update_masked_indices()];const{ctx:s}=this.layer;s.save();const{selected:l}=this.model.data_source;let h;h=!l||l.is_empty()?[]:this.glyph instanceof o.LineView&&l.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(i):l.indices;const{inspected:n}=this.model.data_source,r=new Set((()=>!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<l;e++){const l={x:this.sx[e],y:this.sy[e]},_={x:this.sx[e+1],y:this.sy[e+1]},r=h.dist_to_segment(i,l,_);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.view=this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new c.Selection;let n,l;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),l=this._y):(n=this.renderer.xscale.invert(t),l=this._x);for(let e=0,t=l.length-1;e<t;e++)(l[e]<=n&&n<=l[e+1]||l[e+1]<=n&&n<=l[e])&&(s.add_to_selected_glyphs(this.model),s.view=this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return(0,o.line_interpolation)(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){(0,o.generic_line_scalar_legend)(this.visuals,e,t)}}i.LineView=d,d.__name__=\"LineView\";class p extends r.XYGlyph{constructor(e){super(e)}}i.Line=p,_=p,p.__name__=\"Line\",_.prototype.default_view=d,_.mixins(a.LineScalar)},\n      function _(e,t,_,s,i){s();const n=e(1);var a;const o=e(78),c=(0,n.__importStar)(e(18)),p=e(179);class r extends p.GlyphView{_project_data(){o.inplace.project_xy(this._x,this._y)}_index_data(e){const{_x:t,_y:_,data_size:s}=this;for(let i=0;i<s;i++){const s=t[i],n=_[i];e.add_point(s,n)}}scenterxy(e){return[this.sx[e],this.sy[e]]}}_.XYGlyphView=r,r.__name__=\"XYGlyphView\";class d extends p.Glyph{constructor(e){super(e)}}_.XYGlyph=d,a=d,d.__name__=\"XYGlyph\",a.define((({})=>({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(`${this}.set_data() wasn't called`)}initialize(){super.initialize(),this.visuals=new _.Visuals(this)}request_render(){this.parent.request_render()}get canvas(){return this.renderer.parent.canvas_view}render(e,t,s){var i;null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(e,t,null!==(i=this.base)&&void 0!==i?i:this),this.renderer.needs_webgl_blit)||this._render(e,t,null!=s?s:this.base)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(e){return e}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:e,x1:t}=this.index.bounds(o.positive_x()),{y0:s,y1:i}=this.index.bounds(o.positive_y());return this._bounds({x0:e,y0:s,x1:t,y1:i})}get_anchor_point(e,t,[s,i]){switch(e){case\"center\":case\"center_center\":{const[e,n]=this.scenterxy(t,s,i);return{x:e,y:n}}default:return null}}scenterx(e,t,s){return this.scenterxy(e,t,s)[0]}scentery(e,t,s){return this.scenterxy(e,t,s)[1]}sdist(e,t,s,i=\"edge\",n=!1){const r=t.length,a=new d.ScreenArray(r),o=e.s_compute;if(\"center\"==i)for(let e=0;e<r;e++){const i=t[e],n=s.get(e)/2,r=o(i-n),_=o(i+n);a[e]=b(_-r)}else for(let e=0;e<r;e++){const i=t[e],n=o(i),r=o(i+s.get(e));a[e]=b(r-n)}return n&&(0,p.inplace_map)(a,(e=>m(e))),a}draw_legend_for_index(e,t,s){}hit_test(e){switch(e.type){case\"point\":if(null!=this._hit_point)return this._hit_point(e);break;case\"span\":if(null!=this._hit_span)return this._hit_span(e);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(e);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(e)}return this._nohit_warned.has(e.type)||(h.logger.debug(`'${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<o.length;e++)o[e]=_.v_synthetic(o[e]);let l;l=s instanceof a.CoordinateSeqSpec?f.RaggedArray.from(o,Float64Array):o,this._configure(`_${s.attr}`,{value:l})}else{const i=s.uniform(e).select(t);if(this._configure(s,{value:i}),s instanceof a.DistanceSpec){const e=i.is_Scalar()?i.value:(0,p.max)(i.array);this._configure(`max_${s.attr}`,{value:e})}}this.renderer.plot_view.model.use_map&&this._project_data(),this._set_data(null!=s?s:null),null===(i=this.glglyph)||void 0===i||i.set_data_changed(),this.index_data()}_set_data(e){}get _index_size(){return this.data_size}index_data(){const e=new y.SpatialIndex(this._index_size);this._index_data(e),e.finish(),this._index=e}mask_data(){return null==this._mask_data?d.Indices.all_set(this.data_size):this._mask_data()}map_data(){var e;const t=this,{x_scale:s,y_scale:i}=this.renderer.coordinates;for(const e of this.model)if(e instanceof a.BaseCoordinateSpec){const n=\"x\"==e.dimension?s:i;let r=t[`_${e.attr}`];if(r instanceof f.RaggedArray){const e=n.v_compute(r.array);r=new f.RaggedArray(r.offsets,e)}else r=n.v_compute(r);this[`s${e.attr}`]=r}this._map_data(),null===(e=this.glglyph)||void 0===e||e.set_data_changed()}_map_data(){}}s.GlyphView=w,w.__name__=\"GlyphView\";class S extends 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this.array.subarray(s[t],s[t+1])}set(t,s){this._check_bounds(t),this.array.set(s,this.offsets[t])}}r.RaggedArray=i,i.__name__=\"RaggedArray\",i[n]=\"RaggedArray\"},\n      function _(i,t,n,e,s){e();const d=(0,i(1).__importDefault)(i(182)),o=i(24),x=i(65);function h(i,t){let n=0,e=t.length-1;for(;n<e;){const s=n+e>>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<o;h+=4){const o=0|this._indices[h>>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];n<r||(e<l||i>a||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&&s<t.x0&&(t.x0=s),o<=i.x1&&o>t.x1&&(t.x1=o),d>=i.y0&&d<t.y0&&(t.y0=d),x<=i.y1&&x>t.y1&&(t.y1=x)}return 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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,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.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<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],_=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=m(_,x)}x(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>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;_<a;_+=4){const 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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;u<e.length;u++){const c=e[u],_=i[u];o<n!=_<n&&s+(n-o)/(_-o)*(c-s)<t&&(r=!r),s=c,o=_}return r},e.point_in_ellipse=function(t,n,e,i,r,s,o){return((Math.cos(e)/r)**2+(Math.sin(e)/i)**2)*(t-s)**2+2*Math.cos(e)*Math.sin(e)*((1/r)**2-(1/i)**2)*(t-s)*(n-o)+((Math.cos(e)/i)**2+(Math.sin(e)/r)**2)*(n-o)**2<=1},e.dist_2_pts=s,e.dist_to_segment_squared=o,e.dist_to_segment=function(t,n,e){return Math.sqrt(o(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,r,s,o,u){const c=(u-s)*(e-t)-(o-r)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-s,h=t-r;const l=(e-t)*_-(i-n)*h;_=((o-r)*_-(u-s)*h)/c,h=l/c;return{hit:_>0&&_<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<i;n++){const i=this._x1[n],h=this._x2[n],r=this._y[n];t.add_rect(s(i,h),r,e(i,h),r)}}_render(t,s,e){const{sx1:i,sx2:n,sy:h}=null!=e?e:this;t.beginPath();for(let s=0,e=i.length;s<e;s++)t.lineTo(i[s],h[s]);for(let s=n.length-1;s>=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<n;i++){const s=[this.sx1[i],this.sx1[i+1],this.sx2[i+1],this.sx2[i]],n=[this.sy[i],this.sy[i+1],this.sy[i+1],this.sy[i]];if(_.point_in_poly(t.sx,t.sy,s,n)){e.add_to_selected_glyphs(this.model),e.view=this,e.line_indices=[i];break}}return e}scenterxy(t){return[(this.sx1[t]+this.sx2[t])/2,this.sy[t]]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}e.HAreaView=c,c.__name__=\"HAreaView\";class x extends a.Area{constructor(t){super(t)}}e.HArea=x,r=x,x.__name__=\"HArea\",r.prototype.default_view=c,r.define((({})=>({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<i;n++){const i=this._x[n],h=this._y1[n],r=this._y2[n];t.add_rect(i,s(h,r),i,e(h,r))}}_render(t,s,e){const{sx:i,sy1:n,sy2:h}=null!=e?e:this;t.beginPath();for(let s=0,e=n.length;s<e;s++)t.lineTo(i[s],n[s]);for(let s=h.length-1;s>=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<n;i++){const s=[this.sx[i],this.sx[i+1],this.sx[i+1],this.sx[i]],n=[this.sy1[i],this.sy1[i+1],this.sy2[i+1],this.sy2[i]];if(_.point_in_poly(t.sx,t.sy,s,n)){e.add_to_selected_glyphs(this.model),e.view=this,e.line_indices=[i];break}}return e}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}e.VAreaView=c,c.__name__=\"VAreaView\";class y extends a.Area{constructor(t){super(t)}}e.VArea=y,r=y,y.__name__=\"VArea\",r.prototype.default_view=c,r.define((({})=>({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;e<this._indices.length;e++)this.indices_map[this._indices[e]]=e}convert_selection_from_subset(e){return e.map((e=>this._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;e<l;e++)if(n[e]!==t[e])return!1;return!0}e._cat_equals=f,e.cat_v_compute=function(n,t,e,l,i,o,r){const _=n.length;for(let g=0;g<_;g++){let _,s,h=n[g];(0,u.isString)(h)?_=(0,c.index_of)(t,h):(null!=i?h=null!=o?h.slice(i,o):h.slice(i):null!=o&&(h=h.slice(0,o)),_=1==h.length?(0,c.index_of)(t,h[0]):(0,c.find_index)(t,(n=>f(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(o<l.min)return n;const s=Math.log(o)-Math.log(l.min);let e=Math.floor(s*l.scale);return e>a&&(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;e<l;e++)0!=r[e]&&a++;const h=new Array(a+1),_=new Array(a+1);for(let e=0,n=1;e<l;e++)0!=r[e]&&(h[n]=r[e],_[n]=(i[e]+i[e+1])/2,n++);h[0]=0,_[0]=2*_[1]-_[a];const p=(0,c.cumsum)(h),u=p[1],m=p[a]-u;for(let e=1;e<=a;e++)p[e]=(p[e]-u)/m;p[0]=-1;let f=0;if(this.rescale_discrete_levels){const e=-.5/98,n=e*a+(1.5-2*e);n>1&&(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<s;e++)_[e]=n+e*o;const l=(0,c.map)(e,(e=>{if(e<a)return a;if(e>i)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<n;s++){const e=(()=>{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<l;t++){const i=(()=>{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<s;t++){const i=o[t];c[t]=\"fixed\"==i.policy?i.height:0}const p=new Array(e);for(let t=0;t<e;t++){const i=l[t];p[t]=\"fixed\"==i.policy?i.width:0}const _=new f;i.foreach(((i,s)=>{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;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:h-=r.row_heights[t]}if(h-=(i-1)*n,0!=p&&h>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(h*(i.flex/p));h-=s,r.row_heights[t]=s,p-=i.flex}}else if(h<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-h;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=r.row_heights[o],e=g(s/t);r.row_heights[o]=a(i-e,0),s-=e>i?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;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?f+=i.flex:c-=r.col_widths[t]}if(c-=(s-1)*l,0!=f&&c>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(c*(i.flex/f));c-=s,r.col_widths[t]=s,f-=i.flex}}else if(c<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-c;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=r.col_widths[e],o=g(i/t);r.col_widths[e]=a(s-o,0),i-=o>s?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<s;i++){const t=f[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=_[i];t.left=s,s+=t.width+n}d.foreach((({r0:t,c0:i,r1:s,c1:e},l)=>{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<i;s++){const i=this.x_offset.get(s),l=this.y_offset.get(s),o=this.sx[s]+i,a=this.sy[s]-l,r=this.angle.get(s);t(e,s,this.text.get(s),o,a,r)}}_v_canvas_text(t,e,s,i,l,o){const a=new c.TextBox({text:s});a.angle=o,a.position={sx:i,sy:l},a.visuals=this.visuals.text.values(e);const{background_fill:r,border_line:n}=this.visuals;if(r.doit||n.doit){const{p0:s,p1:i,p2:l,p3:o}=a.rect();t.beginPath(),t.moveTo(s.x,s.y),t.lineTo(i.x,i.y),t.lineTo(l.x,l.y),t.lineTo(o.x,o.y),t.closePath(),this.visuals.background_fill.apply(t,e),this.visuals.border_line.apply(t,e)}this.visuals.text.doit&&a.paint(t)}_v_css_text(t,e,s,i,l,o){(0,u.assert)(null!=this.els);const a=this.els[e];a.textContent=s,this.visuals.text.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=`${i}px`,a.style.top=`${l}px`,a.style.color=t.fillStyle,a.style.font=t.font,a.style.lineHeight=\"normal\",a.style.whiteSpace=\"pre\";const[r,n]=(()=>{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<e;t++)i.lineTo(r[t],_[t]);i.closePath(),this.visuals.fill.apply(i),this.visuals.hatch.apply(i),this.visuals.line.apply(i)}}e.PolyAnnotationView=_,_.__name__=\"PolyAnnotationView\";class h extends l.Annotation{constructor(t){super(t)}update({xs:t,ys:n}){this.setv({xs:t,ys:n,screen:!0},{check_eq:!1})}}e.PolyAnnotation=h,a=h,h.__name__=\"PolyAnnotation\",a.prototype.default_view=_,a.mixins([c.Line,c.Fill,c.Hatch]),a.define((({Number:t,Array:n})=>({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 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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<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(n&&r&&i){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||j(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return bt},failTimeout:function(){return this._timer=l((function(){this.state=bt}),this.options.interval,this),bt},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),Ft.VERSION=\"2.0.7\",Ft.defaults={domEvents:!1,touchAction:Tt,enable:!0,inputTarget:null,inputClass:null,preset:[[Nt,{enable:!1}],[Mt,{enable:!1},[\"rotate\"]],[Xt,{direction:6}],[Rt,{direction:6},[\"swipe\"]],[Yt],[Yt,{event:\"doubletap\",taps:2},[\"tap\"]],[zt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Wt(t,e){var i;this.options=s({},Ft.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((i=this).options.inputClass||(M?it:z?ct:R?pt:J))(i,k),this.touchAction=new St(this,this.options.touchAction),qt(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function qt(t,e){var i,n=t.element;n.style&&(f(t.options.cssProps,(function(r,s){i=x(n.style,s),e?(t.oldCssProps[i]=n.style[i],n.style[i]=r):n.style[i]=t.oldCssProps[i]||\"\"})),e||(t.oldCssProps={}))}Wt.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var i;this.touchAction.preventDefaults(t);var n=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<n.length;)i=n[s],2===e.stopped||r&&i!=r&&!i.canRecognizeWith(r)?i.reset():i.recognize(t),!r&&14&i.state&&(r=e.curRecognizer=i),s++}},get:function(t){if(t instanceof Pt)return t;for(var e=this.recognizers,i=0;i<e.length;i++)if(e[i].options.event==t)return e[i];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,i=b(e,t);-1!==i&&(e.splice(i,1),this.touchAction.update())}return this},on:function(t,e){if(t!==r&&e!==r){var i=this.handlers;return f(S(t),(function(t){i[t]=i[t]||[],i[t].push(e)})),this}},off:function(t,e){if(t!==r){var i=this.handlers;return f(S(t),(function(t){e?i[t]&&i[t].splice(b(i[t],e),1):delete i[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var n=i.createEvent(\"Event\");n.initEvent(t,!0,!0),n.gesture=e,e.target.dispatchEvent(n)}(t,e);var n=this.handlers[t]&&this.handlers[t].slice();if(n&&n.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<n.length;)n[r](e),r++}},destroy:function(){this.element&&qt(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(Ft,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:bt,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:Y,DIRECTION_ALL:30,Manager:Wt,Input:q,TouchAction:St,TouchInput:ct,MouseInput:J,PointerEventInput:it,TouchMouseInput:pt,SingleTouchInput:ot,Recognizer:Pt,AttrRecognizer:Ot,Tap:Yt,Pan:Rt,Swipe:Xt,Pinch:Mt,Rotate:Nt,Press:zt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:T,prefixed:x}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=Ft,\"function\"==typeof define&&define.amd?define((function(){return Ft})):void 0!==e&&e.exports?e.exports=Ft:t.Hammer=Ft}(window,document)},\n      function _(e,s,i,t,n){t();const r=e(42),a=e(43);class _ extends r.View{initialize(){super.initialize(),this.el=this._createElement()}remove(){(0,a.remove)(this.el),super.remove()}css_classes(){return[]}render(){}renderTo(e){e.appendChild(this.el),this.render(),this._has_finished=!0,this.notify_finished()}_createElement(){return(0,a.createElement)(this.constructor.tag_name,{class:this.css_classes()})}}i.DOMView=_,_.__name__=\"DOMView\",_.tag_name=\"div\"},\n      function _(o,t,b,r,e){r(),b.root=\"bk-root\",b.toolbar_hidden=\"bk-toolbar-hidden\",b.toolbar=\"bk-toolbar\",b.logo=\"bk-logo\",b.above=\"bk-above\",b.below=\"bk-below\",b.left=\"bk-left\",b.right=\"bk-right\",b.toolbar_button=\"bk-toolbar-button\",b.tool_overflow=\"bk-tool-overflow\",b.active=\"bk-active\",b.divider=\"bk-divider\",b.horizontal=\"bk-horizontal\",b.vertical=\"bk-vertical\",b.default='.bk-root .bk-toolbar-hidden{visibility:hidden;opacity:0;transition:visibility 0.3s linear, opacity 0.3s linear;}.bk-root .bk-toolbar{display:flex;flex-wrap:nowrap;align-items:center;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-toolbar .bk-logo{flex-shrink:0;}.bk-root .bk-toolbar.bk-above,.bk-root .bk-toolbar.bk-below{flex-direction:row;justify-content:flex-end;}.bk-root .bk-toolbar.bk-above .bk-logo,.bk-root .bk-toolbar.bk-below .bk-logo{order:1;margin-left:5px;margin-right:0px;}.bk-root .bk-toolbar.bk-left,.bk-root .bk-toolbar.bk-right{flex-direction:column;justify-content:flex-start;}.bk-root .bk-toolbar.bk-left .bk-logo,.bk-root .bk-toolbar.bk-right .bk-logo{order:0;margin-bottom:5px;margin-top:0px;}.bk-root .bk-toolbar-button{width:30px;height:30px;cursor:pointer;background-size:60% 60%;background-origin:border-box;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-toolbar-button:hover,.bk-root .bk-tool-overflow:hover{background-color:rgba(192, 192, 192, 0.15);}.bk-root .bk-toolbar-button:focus,.bk-root .bk-tool-overflow:focus,.bk-root .bk-toolbar-button:focus-visible,.bk-root .bk-tool-overflow:focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-toolbar-button::-moz-focus-inner,.bk-root .bk-tool-overflow::-moz-focus-inner{border:0;}.bk-root .bk-above .bk-toolbar-button{border-bottom:2px solid transparent;}.bk-root .bk-above .bk-toolbar-button.bk-active{border-bottom-color:#26aae1;}.bk-root .bk-below .bk-toolbar-button{border-top:2px solid transparent;}.bk-root .bk-below .bk-toolbar-button.bk-active{border-top-color:#26aae1;}.bk-root .bk-right .bk-toolbar-button{border-left:2px solid transparent;}.bk-root .bk-right .bk-toolbar-button.bk-active{border-left-color:#26aae1;}.bk-root .bk-left .bk-toolbar-button{border-right:2px solid transparent;}.bk-root .bk-left .bk-toolbar-button.bk-active{border-right-color:#26aae1;}.bk-root .bk-divider{content:\" \";display:inline-block;background-color:lightgray;}.bk-root .bk-above .bk-divider,.bk-root .bk-below .bk-divider{height:10px;width:1px;}.bk-root .bk-left .bk-divider,.bk-root .bk-right .bk-divider{height:1px;width:10px;}.bk-root .bk-tool-overflow{color:gray;display:flex;align-items:center;}.bk-root .bk-above .bk-tool-overflow,.bk-root .bk-below .bk-tool-overflow,.bk-root .bk-horizontal .bk-tool-overflow{width:15px;height:30px;flex-direction:row;}.bk-root .bk-left .bk-tool-overflow,.bk-root .bk-right .bk-tool-overflow,.bk-root .bk-vertical .bk-tool-overflow{width:30px;height:15px;flex-direction:column;}'},\n      function _(A,g,o,C,l){C(),o.root=\"bk-root\",o.tool_icon_copy_to_clipboard=\"bk-tool-icon-copy-to-clipboard\",o.tool_icon_replace_mode=\"bk-tool-icon-replace-mode\",o.tool_icon_append_mode=\"bk-tool-icon-append-mode\",o.tool_icon_intersect_mode=\"bk-tool-icon-intersect-mode\",o.tool_icon_subtract_mode=\"bk-tool-icon-subtract-mode\",o.tool_icon_clear_selection=\"bk-tool-icon-clear-selection\",o.tool_icon_box_select=\"bk-tool-icon-box-select\",o.tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",o.tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",o.tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",o.tool_icon_help=\"bk-tool-icon-help\",o.tool_icon_hover=\"bk-tool-icon-hover\",o.tool_icon_crosshair=\"bk-tool-icon-crosshair\",o.tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",o.tool_icon_pan=\"bk-tool-icon-pan\",o.tool_icon_xpan=\"bk-tool-icon-xpan\",o.tool_icon_ypan=\"bk-tool-icon-ypan\",o.tool_icon_range=\"bk-tool-icon-range\",o.tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",o.tool_icon_redo=\"bk-tool-icon-redo\",o.tool_icon_reset=\"bk-tool-icon-reset\",o.tool_icon_save=\"bk-tool-icon-save\",o.tool_icon_tap_select=\"bk-tool-icon-tap-select\",o.tool_icon_undo=\"bk-tool-icon-undo\",o.tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",o.tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",o.tool_icon_box_edit=\"bk-tool-icon-box-edit\",o.tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",o.tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",o.tool_icon_point_draw=\"bk-tool-icon-point-draw\",o.tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",o.tool_icon_line_edit=\"bk-tool-icon-line-edit\",o.default='.bk-root 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     function _(o,t,e,r,b){r(),e.root=\"bk-root\",e.menu_icon=\"bk-menu-icon\",e.context_menu=\"bk-context-menu\",e.horizontal=\"bk-horizontal\",e.vertical=\"bk-vertical\",e.divider=\"bk-divider\",e.active=\"bk-active\",e.menu=\"bk-menu\",e.above=\"bk-above\",e.below=\"bk-below\",e.caret=\"bk-caret\",e.down=\"bk-down\",e.up=\"bk-up\",e.left=\"bk-left\",e.right=\"bk-right\",e.default=\".bk-root .bk-menu-icon{width:28px;height:28px;background-size:60%;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-context-menu{position:absolute;display:inline-flex;flex-wrap:nowrap;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;width:auto;height:auto;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-context-menu.bk-horizontal{flex-direction:row;}.bk-root .bk-context-menu.bk-vertical{flex-direction:column;}.bk-root .bk-context-menu > .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 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.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<e.hcenter?\"right\":\"left\";case\"vertical\":return s<e.vcenter?\"below\":\"above\";default:return i}})();let l;this.el.classList.remove(d.right),this.el.classList.remove(d.left),this.el.classList.remove(d.above),this.el.classList.remove(d.below),(0,r.display)(this.el);let o=null,n=null;switch(i){case\"right\":this.el.classList.add(d.left),o=t+(this.el.offsetWidth-this.el.clientWidth)+10,l=s-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(d.right),n=this.plot_view.layout.bbox.width-t+10,l=s-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(d.above),l=s+(this.el.offsetHeight-this.el.clientHeight)+10,o=Math.round(t-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(d.below),l=s-this.el.offsetHeight-10,o=Math.round(t-this.el.offsetWidth/2)}this.el.style.top=`${l}px`,this.el.style.left=null!=o?`${o}px`:\"auto\",this.el.style.right=null!=n?`${n}px`:\"auto\"}}s.TooltipView=p,p.__name__=\"TooltipView\";class u extends a.Annotation{constructor(e){super(e)}clear(){this.position=null}}s.Tooltip=u,n=u,u.__name__=\"Tooltip\",n.prototype.default_view=p,n.define((({Boolean:e})=>({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<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.lower_head.render(e,s),e.restore();if(null!=this.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.upper_head.render(e,s),e.restore()}}s.WhiskerView=n,n.__name__=\"WhiskerView\";class d extends l.UpperLower{constructor(e){super(e)}}s.Whisker=d,a=d,d.__name__=\"Whisker\",a.prototype.default_view=n,a.mixins(o.LineVector),a.define((({Ref:e,Nullable: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 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_.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 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c{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=u,u.__name__=\"MenuItemClick\",s.MenuItemClick=u=a([o(\"menu_item_click\")],u);class d extends c{}s.UIEvent=d,d.__name__=\"UIEvent\";let m=class extends d{};s.LODStart=m,m.__name__=\"LODStart\",s.LODStart=m=a([o(\"lodstart\")],m);let h=class extends d{};s.LODEnd=h,h.__name__=\"LODEnd\",s.LODEnd=h=a([o(\"lodend\")],h);let p=class extends d{constructor(e,t,s,n){super(),this.x0=e,this.x1=t,this.y0=s,this.y1=n}_to_json(){const{x0:e,x1:t,y0:s,y1:n}=this;return Object.assign(Object.assign({},super._to_json()),{x0:e,x1:t,y0:s,y1:n})}};s.RangesUpdate=p,p.__name__=\"RangesUpdate\",s.RangesUpdate=p=a([o(\"rangesupdate\")],p);let x=class extends d{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=x,x.__name__=\"SelectionGeometry\",s.SelectionGeometry=x=a([o(\"selectiongeometry\")],x);let j=class extends d{};s.Reset=j,j.__name__=\"Reset\",s.Reset=j=a([o(\"reset\")],j);class y extends d{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=y,y.__name__=\"PointEvent\";let g=class extends y{constructor(e,t,s,n,_,a){super(e,t,s,n),this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=g,g.__name__=\"Pan\",s.Pan=g=a([o(\"pan\")],g);let P=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.scale=_}_to_json(){const{scale:e}=this;return 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y{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let f=class extends y{};s.DoubleTap=f,f.__name__=\"DoubleTap\",s.DoubleTap=f=a([o(\"doubletap\")],f);let S=class extends y{};s.Press=S,S.__name__=\"Press\",s.Press=S=a([o(\"press\")],S);let D=class extends y{};s.PressUp=D,D.__name__=\"PressUp\",s.PressUp=D=a([o(\"pressup\")],D);let k=class extends y{};s.PanStart=k,k.__name__=\"PanStart\",s.PanStart=k=a([o(\"panstart\")],k);let L=class extends y{};s.PanEnd=L,L.__name__=\"PanEnd\",s.PanEnd=L=a([o(\"panend\")],L);let U=class extends y{};s.PinchStart=U,U.__name__=\"PinchStart\",s.PinchStart=U=a([o(\"pinchstart\")],U);let C=class extends y{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends y{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends y{};s.RotateEnd=B,B.__name__=\"RotateEnd\",s.RotateEnd=B=a([o(\"rotateend\")],B)},\n      function _(t,e,n,l,o){\n      /*!\n           * jQuery 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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<t;n++)o[n]+=r[n]}}return o}}e.Stack=c,s=c,c.__name__=\"Stack\",s.define((({String:t,Array: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<t.length;e++)t[e]=t[e-1]+o[e-r];return t}}t.CumSum=u,i=u,u.__name__=\"CumSum\",i.define((({Boolean:e,String:n})=>({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<o;r++){const o=t.get(r),s=n.get(r)*e;i[r]=o*Math.cos(s),a[r]=o*Math.sin(s)}return{x:i,y:a}}}n.PolarTransform=d,a=d,d.__name__=\"PolarTransform\",a.define((({})=>({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<t.size;n++)e[n]===this.group&&t.set(n);return t}}}t.GroupFilter=l,u=l,l.__name__=\"GroupFilter\",u.define((({String: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<e&&e<1&&a.push(e);continue}const y=l*l-4*x*d,h=Math.sqrt(y);if(y<0)continue;const p=(-l+h)/(2*d);0<p&&p<1&&a.push(p);const f=(-l-h)/(2*d);0<f&&f<1&&a.push(f)}let d=a.length;const l=d;for(;d--;){const l=a[d],x=1-l,y=x*x*x*e+3*x*x*l*i+3*x*l*l*s+l*l*l*c;_[0][d]=y;const h=x*x*x*t+3*x*x*l*n+3*x*l*l*o+l*l*l*r;_[1][d]=h}return _[0][l]=e,_[1][l]=t,_[0][l+1]=c,_[1][l+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class y extends a.GlyphView{_project_data(){d.inplace.project_xy(this._x0,this._y0),d.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{data_size:t,_x0:i,_y0:n,_x1:s,_y1:o,_cx0:c,_cy0:r,_cx1:a,_cy1:_}=this;for(let d=0;d<t;d++){const t=i[d],l=n[d],y=s[d],h=o[d],p=c[d],f=r[d],u=a[d],m=_[d];if(isFinite(t+y+l+h+p+f+u+m)){const[i,n,s,o]=x(t,l,y,h,p,f,u,m);e.add_rect(i,n,s,o)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:o,sy1:c,scx0:r,scy0:a,scx1:_,scy1:d}=null!=i?i:this;for(const i of t){const t=n[i],l=s[i],x=o[i],y=c[i],h=r[i],p=a[i],f=_[i],u=d[i];isFinite(t+l+x+y+h+p+f+u)&&(e.beginPath(),e.moveTo(t,l),e.bezierCurveTo(h,p,f,u,x,y),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,_.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.BezierView=y,y.__name__=\"BezierView\";class h extends a.Glyph{constructor(e){super(e)}}i.Bezier=h,c=h,h.__name__=\"Bezier\",c.prototype.default_view=y,c.define((({})=>({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<a;s++){const a=t[s];c.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new m.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const l=new Array(n);l[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:l})}}e.CircleView=p,p.__name__=\"CircleView\";class y extends h.XYGlyph{constructor(s){super(s)}}e.Circle=y,n=y,y.__name__=\"Circle\",n.prototype.default_view=p,n.mixins([d.LineVector,d.FillVector,d.HatchVector]),n.define((({Number: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<t;e++)this.stop[e]=this.sy[e]-this.sh[e]/2,this.sbottom[e]=this.sy[e]+this.sh[e]/2;this._clamp_viewport()}}s.HBarView=l,l.__name__=\"HBarView\";class c extends n.Box{constructor(t){super(t)}}s.HBar=c,a=c,c.__name__=\"HBar\",a.prototype.default_view=l,a.define((({})=>({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<r;i++){const[r,n,a,h]=this._lrtb(i);t.add_rect(e(r,n),e(a,h),s(n,r),s(a,h))}}_render(t,e,s){const{sleft:r,sright:i,stop:n,sbottom:a}=null!=s?s:this;for(const s of e){const e=r[s],h=n[s],o=i[s],c=a[s];isFinite(e+h+o+c)&&(t.beginPath(),t.rect(e,h,o-e,c-h),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s))}}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,s=this.stop.length;for(let r=0;r<s;r++)this.stop[r]=Math.max(this.stop[r],e.start),this.sbottom[r]=Math.min(this.sbottom[r],e.end),this.sleft[r]=Math.max(this.sleft[r],t.start),this.sright[r]=Math.min(this.sright[r],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:s}=t,r=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),n=[...this.index.indices({x0:r,y0:i,x1:r,y1:i})];return new c.Selection({indices:n})}_hit_span(t){const{sx:e,sy:s}=t;let r;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(s),e=this.renderer.plot_view.frame.bbox.h_range,[i,n]=this.renderer.xscale.r_invert(e.start,e.end);r=[...this.index.indices({x0:i,y0:t,x1:n,y1:t})]}else{const t=this.renderer.xscale.invert(e),s=this.renderer.plot_view.frame.bbox.v_range,[i,n]=this.renderer.yscale.r_invert(s.start,s.end);r=[...this.index.indices({x0:t,y0:i,x1:t,y1:n})]}return new c.Selection({indices:r})}draw_legend_for_index(t,e,s){(0,o.generic_area_vector_legend)(this.visuals,t,e,s)}}s.BoxView=_,_.__name__=\"BoxView\";class l extends h.Glyph{constructor(t){super(t)}}s.Box=l,n=l,l.__name__=\"Box\",n.mixins([a.LineVector,a.FillVector,a.HatchVector])},\n      function _(e,t,s,i,r){i();const n=e(1);var a;const l=e(179),o=(0,n.__importStar)(e(185)),c=(0,n.__importStar)(e(18)),h=e(48),_=e(20),d=e(78),p=e(184),x=e(72);class y extends l.GlyphView{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{HexTileGL:s}=await Promise.resolve().then((()=>(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<n;e++){const n=i.get(e),c=r.get(e)/2;a[e]=t*o*(n+c)/s,l[e]=-3*t*c}else for(let e=0;e<n;e++){const n=i.get(e)/2,c=r.get(e);a[e]=3*t*n,l[e]=-t*o*(c+n)*s}}_project_data(){d.inplace.project_xy(this._x,this._y)}_index_data(e){let t=this.model.size,s=Math.sqrt(3)*t/2;\"flattop\"==this.model.orientation?([s,t]=[t,s],t*=this.model.aspect_scale):s/=this.model.aspect_scale;const{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y[r];e.add_rect(i-s,n-t,i+s,n+t)}}map_data(){var e;[this.sx,this.sy]=this.renderer.coordinates.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices(),null===(e=this.glglyph)||void 0===e||e.set_data_changed()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,a=r/2;return[[0,-n,-n,0,n,n],[r,a,-a,-r,-a,a]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,a=r/2;return[[r,a,-a,-r,-a,a],[0,-n,-n,0,n,n]]}}_render(e,t,s){const{sx:i,sy:r,svx:n,svy:a,scale:l}=null!=s?s:this;for(const s of t){const t=i[s],o=r[s],c=l.get(s);if(isFinite(t+o+c)){e.translate(t,o),e.beginPath();for(let t=0;t<6;t++)e.lineTo(n[t]*c,a[t]*c);e.closePath(),e.translate(-t,-o),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),n=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of n)o.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new x.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=[...this.index.indices({x0:r,y0:e,x1:n,y1:e})]}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=[...this.index.indices({x0:e,y0:r,x1:e,y1:n})]}return new x.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(t,s),[l,o]=this.renderer.yscale.r_invert(i,r),c=[...this.index.indices({x0:n,x1:a,y0:l,y1:o})];return new x.Selection({indices:c})}draw_legend_for_index(e,t,s){(0,p.generic_area_vector_legend)(this.visuals,e,t,s)}}s.HexTileView=y,y.__name__=\"HexTileView\";class u extends l.Glyph{constructor(e){super(e)}}s.HexTile=u,a=u,u.__name__=\"HexTile\",a.prototype.default_view=y,a.mixins([h.LineVector,h.FillVector,h.HatchVector]),a.define((({Number: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<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this.image.get(t);let s;(0,o.is_NDArray)(i)?((0,c.assert)(2==i.dimension,\"expected a 2D array\"),s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=(0,g.concat)(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++){const[t,s,a,h]=this._lrtb(i);e.add_rect(t,h,s,a)}}_lrtb(e){const t=this.dw.get(e),i=this.dh.get(e),s=this.renderer.xscale.source_range,a=this._x[e],h=s.is_reversed?a-t:a+t,n=this.renderer.yscale.source_range,r=this._y[e],_=n.is_reversed?r-i:r+i,[d,l]=a<h?[a,h]:[h,a],[g,o]=r<_?[r,_]:[_,r];return[d,l,o,g]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this.image.length||(this.image_data=new Array(this.image.length)),null!=this._width&&this._width.length==this.image.length||(this._width=new Uint32Array(this.image.length)),null!=this._height&&this._height.length==this.image.length||(this._height=new Uint32Array(this.image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){\"data\"==this.model.properties.dw.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.dw,\"edge\",this.model.dilate):this.sw=(0,_.to_screen)(this.dw),\"data\"==this.model.properties.dh.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.dh,\"edge\",this.model.dilate):this.sh=(0,_.to_screen)(this.dh)}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),r=this._width[e],_=this._height[e],d=(a-s)/r,l=(h-n)/_;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=r-g-1),this.renderer.yscale.source_range.is_reversed&&(o=_-o-1),{index:e,dim1:g,dim2:o,flat_index:o*r+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),n=new l.Selection;for(const e of h)t!=1/0&&i!=1/0&&n.image_indices.push(this._image_index(e,s,a));return n}}i.ImageBaseView=m,m.__name__=\"ImageBaseView\";class u extends r.XYGlyph{constructor(e){super(e)}}i.ImageBase=u,n=u,u.__name__=\"ImageBase\",n.define((({Boolean:e})=>({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<t;s++)e.add_empty()}_set_data(){this._set_data_iteration++;const e=this.url.length;this.image=new Array(e);const{retry_attempts:t,retry_timeout:s}=this.model,{_set_data_iteration:r}=this;for(let a=0;a<e;a++){const e=this.url.get(a);e&&new d.ImageLoader(e,{loaded:e=>{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<n;e++)[o[e],o[n+e]]=m(this._x[e],this.w.get(e));else o.set(this._x,0);if(i)for(let e=0;e<n;e++)[_[e],_[n+e]]=g(this._y[e],this.h.get(e));else _.set(this._y,0);const[u,p]=(0,l.minmax)(o),[f,b]=(0,l.minmax)(_);this._bounds_rect={x0:u,x1:p,y0:f,y1:b}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){\"data\"==this.model.properties.w.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.w,\"edge\",this.model.dilate):this.sw=(0,c.to_screen)(this.w),\"data\"==this.model.properties.h.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.h,\"edge\",this.model.dilate):this.sh=(0,c.to_screen)(this.h)}_render(e,t,s){const{image:r,sx:a,sy:i,sw:n,sh:o,angle:c,global_alpha:_}=null!=s?s:this,{frame:h}=this.renderer.plot_view;e.beginPath(),e.rect(h.bbox.left+1,h.bbox.top+1,h.bbox.width-2,h.bbox.height-2),e.clip();let l=!0;for(const s of t){if(!isFinite(a[s]+i[s]+c.get(s)+_.get(s)))continue;const t=r[s];null!=t?this._render_image(e,s,t,a,i,n,o,c,_):l=!1}l&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,r,a){switch(e){case\"top_left\":return[t,s];case\"top\":case\"top_center\":return[t-r/2,s];case\"top_right\":return[t-r,s];case\"right\":case\"center_right\":return[t-r,s-a/2];case\"bottom_right\":return[t-r,s-a];case\"bottom\":case\"bottom_center\":return[t-r/2,s-a];case\"bottom_left\":return[t,s-a];case\"left\":case\"center_left\":return[t,s-a/2];case\"center\":case\"center_center\":return[t-r/2,s-a/2]}}_render_image(e,t,s,r,a,i,n,o,c){isFinite(i[t])||(i[t]=s.width),isFinite(n[t])||(n[t]=s.height);const _=i[t],h=n[t],{anchor:l}=this.model,[d,m]=this._final_sx_sy(l,r[t],a[t],_,h),g=o.get(t),u=c.get(t);e.save(),e.globalAlpha=u;const p=_/2,f=h/2;g?(e.translate(d,m),e.translate(p,f),e.rotate(g),e.translate(-p,-f),e.drawImage(s,0,0,_,h),e.translate(p,f),e.rotate(-g),e.translate(-p,-f),e.translate(-d,-m)):e.drawImage(s,d,m,_,h),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=m,m.__name__=\"ImageURLView\";class g extends o.XYGlyph{constructor(e){super(e)}}s.ImageURL=g,n=g,g.__name__=\"ImageURL\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t})=>({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;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,o,r,l]=(0,a.minmax2)(t,i);e.add_rect(n,r,o,l)}}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),o=n.get(s),r=Math.min(t.length,o.length);let l=!0;e.beginPath();for(let s=0;s<r;s++){const i=t[s],n=o[s];isFinite(i+n)?l?(e.moveTo(i,n),l=!1):e.lineTo(i,n):l=!0}this.visuals.line.set_vectorize(e,s),e.stroke()}}_hit_point(e){const t={x:e.sx,y:e.sy};let s=9999;const i=new Map;for(let e=0,n=this.sxs.length;e<n;e++){const n=Math.max(2,this.line_width.get(e)/2),o=this.sxs.get(e),r=this.sys.get(e);let l=null;for(let e=0,i=o.length-1;e<i;e++){const i={x:o[e],y:r[e]},_={x:o[e+1],y:r[e+1]},h=c.dist_to_segment(t,i,_);h<n&&h<s&&(s=h,l=[e])}null!=l&&i.set(e,l)}return new g.Selection({indices:[...i.keys()],multiline_indices:(0,d.to_object)(i)})}_hit_span(e){const{sx:t,sy:s}=e;let i,n;\"v\"==e.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(t),n=this._xs);const o=new Map;for(let e=0,t=n.length;e<t;e++){const t=n.get(e),s=[];for(let e=0,n=t.length-1;e<n;e++)t[e]<=i&&i<=t[e+1]&&s.push(e);s.length>0&&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;i<n;i++){const n=this._xs[i],o=this._ys[i];if(0==n.length||0==o.length){t.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let t=0,i=n.length;t<i;t++){const i=n[t][0],c=o[t][0];if(0!=i.length&&0!=c.length){const[t,n]=(0,_.minmax)(i),[o,d]=(0,_.minmax)(c);r=e(r,t),l=s(l,n),h=e(h,o),a=s(a,d)}}t.add_rect(r,h,l,a)}this._hole_index=this._index_hole_data()}_index_hole_data(){const{min:t,max:e}=Math,{data_size:s}=this,n=new l.SpatialIndex(s);for(let i=0;i<s;i++){const s=this._xs[i],o=this._ys[i];if(0==s.length||0==o.length){n.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let n=0,i=s.length;n<i;n++){const i=s[n],c=o[n];if(i.length>1&&c.length>1)for(let s=1,n=i.length;s<n;s++){const[n,o]=(0,_.minmax)(i[s]),[d,x]=(0,_.minmax)(c[s]);r=t(r,n),l=e(l,o),h=t(h,d),a=e(a,x)}}n.add_rect(r,h,l,a)}return n.finish(),n}_mask_data(){const{x_range:t,y_range:e}=this.renderer.plot_view.frame;return this.index.indices({x0:t.min,x1:t.max,y0:e.min,y1:e.max})}_render(t,e,s){if(this.visuals.fill.doit||this.visuals.line.doit){const{sxs:n,sys:i}=null!=s?s:this;for(const s of e){t.beginPath();const e=n[s],o=i[s],r=Math.min(e.length,o.length);for(let s=0;s<r;s++){const n=e[s],i=o[s],r=Math.min(n.length,i.length);for(let e=0;e<r;e++){const s=n[e],o=i[e],r=Math.min(s.length,o.length);for(let e=0;e<r;e++){const n=s[e],i=o[e];0==e?t.moveTo(n,i):t.lineTo(n,i)}t.closePath()}}this.visuals.fill.apply(t,s,\"evenodd\"),this.visuals.hatch.apply(t,s,\"evenodd\"),this.visuals.line.apply(t,s)}}}_hit_rect(t){const{sx0:e,sx1:s,sy0:n,sy1:i}=t,o=[e,s,s,e],r=[n,n,i,i],[l,h]=this.renderer.xscale.r_invert(e,s),[a,_]=this.renderer.yscale.r_invert(n,i),c=this.index.indices({x0:l,x1:h,y0:a,y1:_}),d=[];for(const t of c){const e=this.sxs[t],s=this.sys[t];let n=!0;for(let t=0,i=e.length;t<i;t++){for(let i=0,l=e[t][0].length;i<l;i++){const l=e[t][0][i],h=s[t][0][i];if(!x.point_in_poly(l,h,o,r)){n=!1;break}}if(!n)break}n&&d.push(t)}return new f.Selection({indices:d})}_hit_point(t){const{sx:e,sy:s}=t,n=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),o=this.index.indices({x0:n,y0:i,x1:n,y1:i}),r=this._hole_index.indices({x0:n,y0:i,x1:n,y1:i}),l=[];for(const t of o){const n=this.sxs[t],i=this.sys[t];for(let o=0,h=n.length;o<h;o++){const h=n[o].length;if(x.point_in_poly(e,s,n[o][0],i[o][0]))if(1==h)l.push(t);else if(r.get(t)){if(h>1){let r=!1;for(let t=1;t<h;t++){const l=n[o][t],h=i[o][t];if(x.point_in_poly(e,s,l,h)){r=!0;break}}r||l.push(t)}}else l.push(t)}}return new f.Selection({indices:l})}_get_snap_coord(t){return(0,c.sum)(t)/t.length}scenterxy(t,e,s){if(1==this.sxs[t].length){return[this._get_snap_coord(this.sxs[t][0][0]),this._get_snap_coord(this.sys[t][0][0])]}{const n=this.sxs[t],i=this.sys[t];for(let t=0,o=n.length;t<o;t++)if(x.point_in_poly(e,s,n[t][0],i[t][0])){return[this._get_snap_coord(n[t][0]),this._get_snap_coord(i[t][0])]}}(0,g.unreachable)()}map_data(){const t=this._xs.length;this.sxs=new Array(t),this.sys=new Array(t);for(let e=0;e<t;e++){const t=this._xs[e].length;this.sxs[e]=new Array(t),this.sys[e]=new Array(t);for(let s=0;s<t;s++){const t=this._xs[e][s].length;this.sxs[e][s]=new Array(t),this.sys[e][s]=new Array(t);for(let n=0;n<t;n++){const[t,i]=this.renderer.coordinates.map_to_screen(this._xs[e][s][n],this._ys[e][s][n]);this.sxs[e][s][n]=t,this.sys[e][s][n]=i}}}}draw_legend_for_index(t,e,s){(0,a.generic_area_vector_legend)(this.visuals,t,e,s)}}s.MultiPolygonsView=p,p.__name__=\"MultiPolygonsView\";class m extends h.Glyph{constructor(t){super(t)}}s.MultiPolygons=m,r=m,m.__name__=\"MultiPolygons\",r.prototype.default_view=p,r.define((({})=>({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<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,r,a,o]=(0,_.minmax2)(t,i);e.add_rect(n,a,r,o)}}_mask_data(){const{x_range:e,y_range:t}=this.renderer.plot_view.frame;return this.index.indices({x0:e.min,x1:e.max,y0:t.min,y1:t.max})}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),r=n.get(s);let a=!0;e.beginPath();const o=Math.min(t.length,r.length);for(let s=0;s<o;s++){const i=t[s],n=r[s];isFinite(i+n)?a?(e.moveTo(i,n),a=!1):e.lineTo(i,n):(e.closePath(),a=!0)}e.closePath(),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],a=[i,i,n,n],[o,c]=this.renderer.xscale.r_invert(t,s),[_,h]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:o,x1:c,y0:_,y1:h}),p=[];for(const e of d){const t=this.sxs.get(e),s=this.sys.get(e);let i=!0;for(let e=0,n=t.length;e<n;e++){const n=t[e],o=s[e];if(!l.point_in_poly(n,o,r,a)){i=!1;break}}i&&p.push(e)}return new y.Selection({indices:p})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),a=[];for(const e of r){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;for(let o=0,c=0;;c++){if(isNaN(i[c])||c==r){const r=i.subarray(o,c),_=n.subarray(o,c);if(l.point_in_poly(t,s,r,_)){a.push(e);break}o=c+1}if(c==r)break}}return new y.Selection({indices:a})}_get_snap_coord(e){return(0,_.sum)(e)/e.length}scenterxy(e,t,s){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;let a=!1;for(let e=0,o=0;;o++){const c=isNaN(i[o]);if(a=a||c,o==r&&!a){return[this._get_snap_coord(i),this._get_snap_coord(n)]}if(c||o==r){const r=i.subarray(e,o),a=n.subarray(e,o);if(l.point_in_poly(t,s,r,a)){return[this._get_snap_coord(r),this._get_snap_coord(a)]}e=o+1}if(o==r)break}(0,p.unreachable)()}draw_legend_for_index(e,t,s){(0,c.generic_area_vector_legend)(this.visuals,e,t,s)}}s.PatchesView=f,f.__name__=\"PatchesView\";class g extends o.Glyph{constructor(e){super(e)}}s.Patches=g,a=g,g.__name__=\"Patches\",a.prototype.default_view=f,a.define((({})=>({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<r;a++){const r=t[a],_=i[a],d=n[a],l=s[a],y=c[a],p=o[a];if(isFinite(r+_+d+l+y+p)){const[t,i]=x(r,y,_),[n,s]=x(d,p,l);e.add_rect(t,n,i,s)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:c,sy1:o,scx:r,scy:a}=null!=i?i:this;for(const i of t){const t=n[i],_=s[i],d=c[i],l=o[i],x=r[i],y=a[i];isFinite(t+_+d+l+x+y)&&(e.beginPath(),e.moveTo(t,_),e.quadraticCurveTo(x,y,d,l),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,d.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.QuadraticView=y,y.__name__=\"QuadraticView\";class p extends _.Glyph{constructor(e){super(e)}}i.Quadratic=p,o=p,p.__name__=\"Quadratic\",o.prototype.default_view=y,o.define((({})=>({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<t;e++)0==i[e]&&(i[e]=s)}_render(e,t,s){const{sx:i,sy:n,slength:l,angle:a}=null!=s?s:this;if(this.visuals.line.doit)for(const s of t){const t=i[s],r=n[s],o=a.get(s),h=l[s];isFinite(t+r+o+h)&&(e.translate(t,r),e.rotate(o),e.beginPath(),e.moveTo(0,0),e.lineTo(h,0),this.visuals.line.set_vectorize(e,s),e.stroke(),e.rotate(-o),e.translate(-t,-r))}}draw_legend_for_index(e,t,s){(0,o.generic_line_vector_legend)(this.visuals,e,t,s)}}s.RayView=g,g.__name__=\"RayView\";class d extends r.XYGlyph{constructor(e){super(e)}}s.Ray=d,a=d,d.__name__=\"Ray\",a.prototype.default_view=g,a.mixins(h.LineVector),a.define((({})=>({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<t;e++)this.sx0[e]=this.sx[e]-this.sw[e]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this.height,this.renderer.yscale);else{this.sh=(0,_.to_screen)(this.height);const t=this.sy.length;this.sy1=new _.ScreenArray(t);for(let e=0;e<t;e++)this.sy1[e]=this.sy[e]-this.sh[e]/2}const t=this.sw.length;this.ssemi_diag=new _.ScreenArray(t);for(let e=0;e<t;e++)this.ssemi_diag[e]=Math.sqrt(this.sw[e]/2*this.sw[e]/2+this.sh[e]/2*this.sh[e]/2)}_render(t,e,s){const{sx:i,sy:r,sx0:n,sy1:h,sw:a,sh:l,angle:o}=null!=s?s:this;for(const s of e){const e=i[s],c=r[s],_=n[s],d=h[s],f=a[s],y=l[s],u=o.get(s);isFinite(e+c+_+d+f+y+u)&&(0!=f&&0!=y&&(t.beginPath(),u?(t.translate(e,c),t.rotate(u),t.rect(-f/2,-y/2,f,y),t.rotate(-u),t.translate(-e,-c)):t.rect(_,d,f,y),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s)))}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:e,sy:s}=t;const i=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(s),n=this.sx0.length,h=new _.ScreenArray(n);for(let t=0;t<n;t++)h[t]=this.sx0[t]+this.sw[t]/2;const a=new _.ScreenArray(n);for(let t=0;t<n;t++)a[t]=this.sy1[t]+this.sh[t]/2;const l=(0,d.max)(this._ddist(0,h,this.ssemi_diag)),o=(0,d.max)(this._ddist(1,a,this.ssemi_diag)),c=i-l,y=i+l,u=r-o,w=r+o;let g,p;const x=[];for(const t of this.index.indices({x0:c,x1:y,y0:u,y1:w})){const i=this.angle.get(t);if(i){const r=Math.sin(-i),n=Math.cos(-i),h=n*(e-this.sx[t])-r*(s-this.sy[t])+this.sx[t],a=r*(e-this.sx[t])+n*(s-this.sy[t])+this.sy[t];e=h,s=a,g=Math.abs(this.sx[t]-e)<=this.sw[t]/2,p=Math.abs(this.sy[t]-s)<=this.sh[t]/2}else{const i=e-this.sx0[t],r=s-this.sy1[t];g=0<=i&&i<=this.sw[t],p=0<=r&&r<=this.sh[t]}g&&p&&x.push(t)}return new f.Selection({indices:x})}_map_dist_corner_for_data_side_length(t,e,s){const i=t.length,r=new Float64Array(i),n=new Float64Array(i);for(let s=0;s<i;s++){const i=t[s],h=e.get(s)/2;r[s]=i-h,n[s]=i+h}const h=s.v_compute(r),a=s.v_compute(n),l=this.sdist(s,r,e,\"edge\",this.model.dilate);let o=h;for(let t=0;t<i;t++){const e=h[t],s=a[t];if(!isNaN(e+s)&&e!=s){o=e<s?h:a;break}}return[l,o]}_ddist(t,e,s){const i=(0,_.infer_type)(e,s),r=0==t?this.renderer.xscale:this.renderer.yscale,n=e,h=n.length,a=new i(h);for(let t=0;t<h;t++)a[t]=n[t]+s[t];const l=r.v_invert(n),o=r.v_invert(a),c=l.length,d=new i(c);for(let t=0;t<c;t++)d[t]=Math.abs(o[t]-l[t]);return d}draw_legend_for_index(t,e,s){(0,c.generic_area_vector_legend)(this.visuals,t,e,s)}}s.RectView=y,y.__name__=\"RectView\";class u extends o.CenterRotatable{constructor(t){super(t)}}s.Rect=u,n=u,u.__name__=\"Rect\",n.prototype.default_view=y,n.define((({Boolean:t})=>({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<r;e++){const r=n[e];_.point_in_poly(this.sx[e],this.sy[e],t,s)&&i.push(r)}return new x.Selection({indices:i})}_get_legend_args({x0:e,x1:t,y0:s,y1:n},i){const r=i+1,a=new Array(r),c=new Array(r);a[i]=(e+t)/2,c[i]=(s+n)/2;const o=.4*Math.min(Math.abs(t-e),Math.abs(n-s));return{sx:a,sy:c,size:new h.UniformScalar(o,r),angle:new h.UniformScalar(0,r)}}draw_legend_for_index(e,{x0:t,x1:s,y0:n,y1:i},r){const a=this._get_legend_args({x0:t,x1:s,y0:n,y1:i},r);this._render(e,[r],a)}}s.MarkerView=d,d.__name__=\"MarkerView\";class y extends c.XYGlyph{constructor(e){super(e)}}s.Marker=y,a=y,y.__name__=\"Marker\",a.mixins([o.LineVector,o.FillVector,o.HatchVector]),a.define((({Number: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 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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)<t&&a.push(e)}return new l.Selection({indices:a})}_hit_span(e){const[t,s]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,o,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,o]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,o]=[this._x0,this._x1]);const h=[],[c,a]=this.renderer.xscale.r_invert(t.start,t.end),[d,x]=this.renderer.yscale.r_invert(s.start,s.end),y=this.index.indices({x0:c,y0:d,x1:a,y1:x});for(const t of y){(r[t]<=_&&_<=o[t]||o[t]<=_&&_<=r[t])&&h.push(t);const s=1.5+this.line_width.get(t)/2;r[t]==o[t]&&(\"h\"==e.direction?Math.abs(this.sx0[t]-i)<=s&&h.push(t):Math.abs(this.sy0[t]-n)<=s&&h.push(t))}return new l.Selection({indices:h})}scenterxy(e){return[this.sx0[e]/2+this.sx1[e]/2,this.sy0[e]/2+this.sy1[e]/2]}draw_legend_for_index(e,t,s){(0,x.generic_line_vector_legend)(this.visuals,e,t,s)}}s.SegmentView=y,y.__name__=\"SegmentView\";class p extends d.Glyph{constructor(e){super(e)}}s.Segment=p,o=p,p.__name__=\"Segment\",o.prototype.default_view=y,o.define((({})=>({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;n<f;n++){const s=(i[n+1]-i[n-1])*o,c=(u[n+1]-u[n-1])*o,l=(i[n+2]-i[n])*o,r=(u[n+2]-u[n])*o;for(let o=0;o<=4*e;t++){const e=g[o++],f=g[o++],w=g[o++],a=g[o++];h[t]=e*i[n]+f*i[n+1]+w*s+a*l,_[t]=e*u[n]+f*u[n+1]+w*c+a*r}}return[h,_]}},\n      function 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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<this._sxs.length;t++){const n=this._sxs[t],o=this._sys[t],_=n.length;for(let h=0,l=_;h<l;h++){const[l,a]=this._rotate_point(e,s,n[_-1][0],o[_-1][0],-this.angle.get(t));r.point_in_poly(l,a,n[h],o[h])&&i.push(t)}}return new u.Selection({indices:i})}scenterxy(t){const e=this._sxs[t],s=this._sys[t];(0,x.assert)(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],o=(e[0][2]+i)/2,_=(s[0][2]+n)/2,[h,l]=this._rotate_point(o,_,i,n,this.angle.get(t));return[h,l]}}s.TextView=f,f.__name__=\"TextView\";class p extends h.XYGlyph{constructor(t){super(t)}}s.Text=p,_=p,p.__name__=\"Text\",_.prototype.default_view=f,_.mixins(l.TextVector),_.define((({})=>({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<t;e++)this.sleft[e]=this.sx[e]-this.sw[e]/2,this.sright[e]=this.sx[e]+this.sw[e]/2;this._clamp_viewport()}}s.VBarView=l,l.__name__=\"VBarView\";class c extends a.Box{constructor(t){super(t)}}s.VBar=c,o=c,c.__name__=\"VBar\",o.prototype.default_view=l,o.define((({})=>({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<t.data.start.length;e++)((0,_.contains)(n,t.data.start[e])||(0,_.contains)(n,t.data.end[e]))&&s.push(e);const o=new i.Selection;for(const e of s)o.multiline_indices[e]=[0];return o.indices=s,o}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,d,n);const o=t.edge_renderer.data_source.selected,r=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model);o.update(e,n,s),d.node_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model),_=this.get_linked_edges(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!o.is_empty()}}d.NodesAndLinkedEdges=u,u.__name__=\"NodesAndLinkedEdges\";class m extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}get_linked_nodes(e,t,d){let n=[];\"selection\"==d?n=t.selected.indices:\"inspection\"==d&&(n=t.inspected.indices);const s=[];for(const e of n)s.push(t.data.start[e]),s.push(t.data.end[e]);const o=(0,_.uniq)(s).map((t=>(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<e;t++){const a=this.graph_layout[l[t]],[e,r]=null!=a?a:[NaN,NaN];n[t]=e,o[t]=r}return[n,o]}get_edge_coordinates(t){var a,l;const e=null!==(a=t.data.start)&&void 0!==a?a:[],n=null!==(l=t.data.end)&&void 0!==l?l:[],o=Math.min(e.length,n.length),r=[],u=[],s=null!=t.data.xs&&null!=t.data.ys;for(let a=0;a<o;a++){const l=null!=this.graph_layout[e[a]]&&null!=this.graph_layout[n[a]];if(s&&l)r.push(t.data.xs[a]),u.push(t.data.ys[a]);else{let t,o;l?(t=this.graph_layout[e[a]],o=this.graph_layout[n[a]]):(t=[NaN,NaN],o=[NaN,NaN]),r.push([t[0],o[0]]),u.push([t[1],o[1]])}}return[r,u]}}l.StaticLayoutProvider=u,o=u,u.__name__=\"StaticLayoutProvider\",o.define((({Number:t,Tuple:a,Dict:l})=>({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;s<e.length-1;s++){if(s%2!=1)continue;const[t,r]=this.coordinates.map_to_screen(e[s],n[s]),[o,d]=this.coordinates.map_to_screen(e[s+1],n[s+1]);i.beginPath(),i.rect(t[0],r[0],o[1]-t[0],d[1]-r[0]),this.visuals.band_fill.apply(i),this.visuals.band_hatch.apply(i)}}_draw_grids(i){if(!this.visuals.grid_line.doit)return;const[e,n]=this.grid_coords(\"major\");this._draw_grid_helper(i,this.visuals.grid_line,e,n)}_draw_minor_grids(i){if(!this.visuals.minor_grid_line.doit)return;const[e,n]=this.grid_coords(\"minor\");this._draw_grid_helper(i,this.visuals.minor_grid_line,e,n)}_draw_grid_helper(i,e,n,s){e.set_value(i),i.beginPath();for(let e=0;e<n.length;e++){const[t,r]=this.coordinates.map_to_screen(n[e],s[e]);i.moveTo(Math.round(t[0]),Math.round(r[0]));for(let e=1;e<t.length;e++)i.lineTo(Math.round(t[e]),Math.round(r[e]))}i.stroke()}ranges(){const i=this.model.dimension,e=(i+1)%2,{ranges:n}=this.coordinates;return[n[i],n[e]]}computed_bounds(){const[i]=this.ranges(),e=this.model.bounds,n=[i.min,i.max];let s,t;if((0,h.isArray)(e))s=Math.min(e[0],e[1]),t=Math.max(e[0],e[1]),s<n[0]&&(s=n[0]),t>n[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<l.length;i++){if((l[i]==h||l[i]==c)&&e)continue;const t=[],r=[],o=2;for(let e=0;e<o;e++){const n=u+(m-u)/(o-1)*e;t.push(l[i]),r.push(n)}_[n].push(t),_[s].push(r)}return _}}n.GridView=c,c.__name__=\"GridView\";class u extends _.GuideRenderer{constructor(i){super(i)}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}n.Grid=u,o=u,u.__name__=\"Grid\",o.prototype.default_view=c,o.mixins([[\"grid_\",l.Line],[\"minor_grid_\",l.Line],[\"band_\",l.Fill],[\"band_\",l.Hatch]]),o.define((({Number:i,Auto:e,Enum:n,Ref:s,Tuple:t,Or:r,Nullable:o})=>({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,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');}'},\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<n.length;e++){const r=n[e];t[e]=this._compute(r)}return t}compute(e){return this.range instanceof i.FactorRange?this._compute(this.range.synthetic(e)):(0,h.isNumber)(e)?this._compute(e):void(0,l.unreachable)()}}t.RangeTransform=g,s=g,g.__name__=\"RangeTransform\",s.define((({Ref:e,Nullable:n})=>({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;r<t.length;r++){const n=t[r];e[r]=this.compute(n)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if((0,d.isString)(this.x)&&(0,d.isString)(this.y)&&null!=this.data){const t=this.data.columns();if(!(0,l.includes)(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!(0,l.includes)(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!(0,d.isArray)(this.x)||!(0,d.isArray)(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const n=e.length,s=new Uint32Array(n);for(let t=0;t<n;t++)s[t]=t;const o=t?-1:1;s.sort(((t,r)=>o*(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<n;t++)this._x_sorted[t]=e[s[t]],this._y_sorted[t]=r[s[t]];this._sorted_dirty=!1}}r.Interpolator=c,o=c,c.__name__=\"Interpolator\",o.define((({Boolean:t,Number:e,String:r,Ref:n,Array:s,Or:o,Nullable:i})=>({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(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._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=>s<t)),_=this._x_sorted[s],r=this._x_sorted[s+1],e=this._y_sorted[s],o=this._y_sorted[s+1];return e+(t-_)/(r-_)*(o-e)}}_.LinearInterpolator=n,n.__name__=\"LinearInterpolator\"},\n      function _(t,e,s,r,o){var _;r();const i=t(325),n=t(20),d=t(9);class h extends i.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._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<e.length;i++){const s=e[i];if(s instanceof h.Title){e[i]=\"above\"==v||\"below\"==v?[s,this._toolbar]:[this._toolbar,s],t=!1;break}}t&&e.push(this._toolbar)}const b=(e,t)=>{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<this.model.lod_interval?setTimeout((()=>{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&&r<o.start&&(s=!0,o.start=r,(e||a)&&(o.end=r-l))):(null!=t&&t>o.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r<o.end&&(s=!0,o.end=r,(e||a)&&(o.start=r-l)))}}if(!(a&&s&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:a}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);a=null!=a?Math.min(a,t):t}}let s=1;if(null!=e||null!=a){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r<e&&(s=(o-e)/(o-r)),null!=a&&a>0&&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.index<this.history.length-1}}s.StateManager=a,a.__name__=\"StateManager\"},\n      function _(t,e,s,o,i){o();const a=t(19),n=t(15),p=t(43),l=t(78),_=t(22),h=t(332),m=new n.Signal0({},\"gmaps_ready\");class d extends h.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,!this.model.api_key){const t=\"https://developers.google.com/maps/documentation/javascript/get-api-key\";a.logger.error(`api_key is required. See ${t} for more information on how to obtain your own.`)}if(\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){const{api_key:t,api_version:e}=this.model;!function(t,e){window._bokeh_gmaps_callback=()=>m.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${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;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"Polygon\":{e.coordinates.length>1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPoint\":i.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&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<s.length;e++){const[r,n,a]=s[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=_(a)}break}default:throw new Error(`Invalid GeoJSON geometry type: ${e.type}`)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=u,s=u,u.__name__=\"GeoJSONDataSource\",s.define((({String: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)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>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<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,n]=(0,l.meters_extent_to_geographic)(_);return[s,r,o,n]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=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<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(`Invalid Quadkey: ${t}`)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n      function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${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);e<i;e++){const[i,s,_]=n[e],a=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const e of a){const[i,s,_,n]=e;t.tiles.has(t.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,n,!0)}}}_fetch_tiles(t){for(const e of t){const[t,i,s,_]=e;this._create_tile(t,i,s,_)}}_update(){const{tile_source:t}=this.model,{min_zoom:e}=t,{max_zoom:i}=t;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],n=this.map_frame.bbox.height,a=this.map_frame.bbox.width;let o=t.get_level_by_extent(s,n,a),r=!1;o<e?(s=this.extent,o=e,r=!0):o>i&&(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<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||((0,c.isArray)(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const r of t){const t=this._map_drag(o,n,r),i=this._map_drag(e.sx,e.sy,r);if(null==i||null==t)continue;const[c,a]=i,[_,l]=t,[d,u]=[c-_,a-l],h=r.glyph,m=r.data_source,[p,f]=[h.x.field,h.y.field];for(const e of m.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(m.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(m.data[f][e]+=u);m.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())(0,i.includes)(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:r}=e;if(!o.bbox.contains(n,r))return[];const i={type:\"point\",sx:n,sy:r},c=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=this.plot_view.renderer_view(e);if(null!=n){s.select([n],i,!0,t)&&c.push(e),o.properties.selected.change.emit()}}return c}}s.EditToolView=d,d.__name__=\"EditToolView\";class u extends l.GestureTool{constructor(e){super(e)}get computed_icon(){var e;return null!==(e=this.custom_icon)&&void 0!==e?e:this.icon}}s.EditTool=u,r=u,u.__name__=\"EditTool\",r.define((({Unknown:e,String:t,Array:s,Ref:o,Nullable:n})=>({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;s<this.model.renderers.length;s++){const i=this.model.renderers[s],a=i.data_source,r=i.glyph,[o,n]=[r.xs.field,r.ys.field];if(o)for(const t of a.get_array(o))e.push(...t);if(n)for(const e of a.get_array(n))t.push(...e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,a]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(a){const e=t.data[a].length-1,s=t.get_array(a)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===o.Keys.Backspace?this._delete_selected(t):e.keyCode==o.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),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){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const a=this._map_drag(t,s,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==a)continue;const o=i.data_source,n=i.glyph,[d,_]=[n.xs.field,n.ys.field];if(!d&&!_)continue;const[h,l]=r,[c,g]=a,[f,p]=[h-c,l-g];for(const e of o.selected.indices){let t,s,i;d&&(s=o.data[d][e]),_?(i=o.data[_][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=f),i&&(i[e]+=p)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,(()=>this._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<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.trigger_ranges_update_event()}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{x_scales:i,y_scales:n}=this.plot_view.frame,_=new Map;for(const[e,s]of i){const[i,n]=s.r_invert(t,o);_.set(e,{start:i,end:n})}const a=new Map;for(const[t,o]of n){const[i,n]=o.r_invert(e,s);a.set(t,{start:i,end:n})}const l={xrs:_,yrs:a};this.plot_view.state.push(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=h,h.__name__=\"BoxZoomToolView\";const c=()=>new 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;(n<t.start||n>t.end)&&(this.v_axis_only=!0),(e<s.start||e>s.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)<s}function c(e,t,i,s,n){let l=!0;if(null!=n.left&&null!=n.right){const t=i.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(e<n.bottom||e>n.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<t.end?(t.start=e,i):(t.start=t.end,t.end=e,d(i))}function m(e,t,i,s){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+i,l+i),o=g(e.start,e.end,s);g(a,r,s)>=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.start<n&&n<s.end,r=(\"height\"==h||\"both\"==h)&&i.start<l&&l<i.end;if(!(a&&r||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,d=(0,_.scale_range)(t,m,a,r,{x:n,y:l});this.plot_view.state.push(\"wheel_zoom\",{range:d});const{maintain_focus:c}=this.model;this.plot_view.update_range(d,{scrolling:!0,maintain_focus:c}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model,(()=>this.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 a<c?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function H(e,t,n){return[[e[n],t[n]],n]}n._nearest_line_hit=G,n._line_hit=H;class z extends l.InspectToolView{initialize(){super.initialize(),this._ttmodels=new Map,this._ttviews=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._update_ttmodels();const{tooltips:e}=this.model;e instanceof V.Template&&(this._template_view=await(0,S.build_view)(e,{parent:this}),this._template_view.render())}remove(){var e;null===(e=this._template_view)||void 0===e||e.remove(),(0,S.remove_views)(this._ttviews),super.remove()}connect_signals(){super.connect_signals();const e=this.plot_model.properties.renderers,{renderers:t,tooltips:n}=this.model.properties;this.on_change(n,(()=>delete 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 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     function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n      function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in 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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 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_.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 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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 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   // Line-line intersection: point0 + lambda0 dir0 = point1 + lambda1 dir1.\\n    // Not checking if lines are parallel!\\n    float lambda0 = cross_z(point1 - point0, dir1) / cross_z(dir0, dir1);\\n    return point0 + lambda0*dir0;\\n}\\n\\nfloat sign_no_zero(in float x)\\n{\\n    return x >= 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;e<t;e++)a[e]=r[e];this.update()}set_from_prop(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=r.get(t);this.update(r.is_Scalar())}set_from_scalar(r,t=4){this.get_sized_array(t).fill(r),this.update(!0)}to_attribute_config(r=0){return{buffer:this.buffer,divisor:this.is_scalar?0:1,normalized:this.is_normalized(),offset:r}}update(r=!1){null==this.buffer?this.buffer=this.regl_wrapper.buffer({usage:\"dynamic\",data:this.array}):this.buffer({data:this.array}),this.is_scalar=r}}n.__name__=\"WrappedBuffer\";class l extends n{new_array(r){return new Float32Array(r)}}a.Float32Buffer=l,l.__name__=\"Float32Buffer\";class o extends n{new_array(r){return new Uint8Array(r)}set_from_color(r,t,a=4){const e=r.is_Scalar()&&t.is_Scalar(),s=e?a:r.length,i=this.get_sized_array(4*s);for(let a=0;a<s;a++){const[e,s,n,l]=(0,_.color2rgba)(r.get(a),t.get(a));i[4*a]=e,i[4*a+1]=s,i[4*a+2]=n,i[4*a+3]=l}this.update(e)}set_from_hatch_pattern(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=(0,i.hatch_pattern_to_index)(r.get(t));this.update(r.is_Scalar())}set_from_line_cap(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=i.cap_lookup[r.get(t)];this.update(r.is_Scalar())}set_from_line_join(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=i.join_lookup[r.get(t)];this.update(r.is_Scalar())}}a.Uint8Buffer=o,o.__name__=\"Uint8Buffer\";class h extends o{is_normalized(){return!0}}a.NormalizedUint8Buffer=h,h.__name__=\"NormalizedUint8Buffer\"},\n      422: function _(a,e,r,n,t){n();const i=a(52);r.cap_lookup={butt:0,round:1,square:2},r.join_lookup={miter:0,round:1,bevel:2};const o={blank:0,dot:1,ring:2,horizontal_line:3,vertical_line:4,cross:5,horizontal_dash:6,vertical_dash:7,spiral:8,right_diagonal_line:9,left_diagonal_line:10,diagonal_cross:11,right_diagonal_dash:12,left_diagonal_dash:13,horizontal_wave:14,vertical_wave:15,criss_cross:16};r.hatch_pattern_to_index=function(a){var e,r;return null!==(r=o[null!==(e=i.hatch_aliases[a])&&void 0!==e?e:a])&&void 0!==r?r:0},r.marker_type_to_size_hint=function(a){switch(a){case\"dash\":return 1;case\"dot\":return 2;case\"diamond\":case\"diamond_cross\":case\"diamond_dot\":return 3;case\"hex\":return 4;case\"square_pin\":return 5;case\"inverted_triangle\":case\"triangle\":case\"triangle_dot\":return 6;case\"triangle_pin\":return 7;case\"star\":case\"star_dot\":return 8;default:return 0}}},\n      423: function _(s,t,i,e,r){e();const h=s(421),_=s(424);class l extends _.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,i){this._draw_impl(s,i,t.glglyph,\"circle\")}_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=this._widths,this._angles=new h.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s),i=this._widths.get_sized_array(s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=_.SingleMarkerGL.missing_point,t[2*e+1]=_.SingleMarkerGL.missing_point),i[e]=2*this.glyph.sradius[e];this._centers.update(),this._widths.update(),this._angles.set_from_prop(this.glyph.angle)}}i.CircleGL=l,l.__name__=\"CircleGL\"},\n      424: function _(s,t,e,_,h){_();const a=s(419),i=s(421);class l extends a.BaseMarkerGL{constructor(s,t){super(s,t),this.glyph=t}_draw_impl(s,t,e,_){e.data_changed&&(e._set_data(),e.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const h=e.nvertices;null==this._show&&(this._show=new i.Uint8Buffer(this.regl_wrapper));const a=this._show.length,l=this._show.get_sized_array(h);if(s.length<h){this._show_all=!1;for(let s=0;s<h;s++)l[s]=0;for(let t=0;t<s.length;t++)l[s[t]]=255}else if(!this._show_all||a!=h){this._show_all=!0;for(let s=0;s<h;s++)l[s]=255}this._show.update(),this._draw_one_marker_type(_,t,e)}}e.SingleMarkerGL=l,l.__name__=\"SingleMarkerGL\"},\n      425: function _(s,t,e,i,h){i();const r=s(421),_=s(424);class l extends _.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,e){this._draw_impl(s,e,t.glglyph,\"hex\")}_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=new r.Float32Buffer(this.regl_wrapper),this._angles=new r.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=_.SingleMarkerGL.missing_point,t[2*e+1]=_.SingleMarkerGL.missing_point);this._centers.update(),\"pointytop\"==this.glyph.model.orientation?(this._angles.set_from_scalar(.5*Math.PI),this._widths.set_from_scalar(2*this.glyph.svy[0]),this._heights.set_from_scalar(4*this.glyph.svx[4]/Math.sqrt(3))):(this._angles.set_from_scalar(0),this._widths.set_from_scalar(2*this.glyph.svx[0]),this._heights.set_from_scalar(4*this.glyph.svy[4]/Math.sqrt(3)))}}e.HexTileGL=l,l.__name__=\"HexTileGL\"},\n      426: function _(s,i,t,h,e){h();const _=s(420),l=s(22),a=s(46),n=s(422),o=s(421);class r extends _.BaseGLGlyph{constructor(s,i){super(s,i),this.glyph=i,this._antialias=1.5,this._miter_limit=5}draw(s,i,t){const h=i.glglyph;this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),h.data_changed&&(h._set_data(),h.data_changed=!1);const e=this.glyph.visuals.line,_=n.cap_lookup[e.line_cap.value],l=n.join_lookup[e.line_join.value],a=h._points,o={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:a,show:h._show,nsegments:a.length/2-3,line_join:l,line_cap:_};if(this._is_dashed()){const s=Object.assign(Object.assign({},o),{length_so_far:this._length_so_far,dash_tex:this._dash_tex,dash_tex_info:this._dash_tex_info,dash_scale:this._dash_scale,dash_offset:this._dash_offset});this.regl_wrapper.dashed_line()(s)}else this.regl_wrapper.solid_line()(o)}_is_dashed(){return this._line_dash.length>0}_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;i<s+1;i++)t[2*i]=this.glyph.sx[i-1],t[2*i+1]=this.glyph.sy[i-1];this._is_closed?(t[0]=t[2*s-2],t[1]=t[2*s-1],t[2*s+2]=t[4],t[2*s+3]=t[5]):(t[0]=0,t[1]=0,t[2*s+2]=0,t[2*s+3]=0),this._points.update(),null==this._show&&(this._show=new o.Uint8Buffer(this.regl_wrapper));const h=this._show.get_sized_array(s+1);let e=isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0]);for(let i=1;i<s;i++){const s=isFinite(this.glyph.sx[i])&&isFinite(this.glyph.sy[i]);h[i]=e&&s?1:0,e=s}if(this._is_closed?(h[0]=h[s-1],h[s]=h[1]):(h[0]=0,h[s]=0),this._show.update(),this._is_dashed()){null==this._length_so_far&&(this._length_so_far=new o.Float32Buffer(this.regl_wrapper));const s=this._length_so_far.get_sized_array(i);let e=0;for(let _=0;_<i;_++)s[_]=e,1==h[_+1]&&(e+=Math.sqrt((t[2*_+4]-t[2*_+2])**2+(t[2*_+5]-t[2*_+3])**2));this._length_so_far.update()}}_set_visuals(){const s=this.glyph.visuals.line,i=(0,l.color2rgba)(s.line_color.value,s.line_alpha.value);this._color=i.map((s=>s/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),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;r<s;r++){const s=this.glyph.sleft[r],h=this.glyph.sright[r],n=this.glyph.stop[r],_=this.glyph.sbottom[r];isFinite(s)&&isFinite(h)&&isFinite(n)&&isFinite(_)?(t[2*r]=(s+h)/2,t[2*r+1]=(n+_)/2,i[r]=Math.abs(n-_),e[r]=Math.abs(h-s)):(t[2*r]=a.SingleMarkerGL.missing_point,t[2*r+1]=a.SingleMarkerGL.missing_point,i[r]=a.SingleMarkerGL.missing_point,e[r]=a.SingleMarkerGL.missing_point)}this._centers.update(),this._heights.update(),this._widths.update()}}i.LRTBGL=n,n.__name__=\"LRTBGL\"},\n      428: function _(s,t,e,i,_){i();const h=s(419),r=s(421);class a extends h.BaseMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,e){const i=t.glglyph;i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const _=i.nvertices;null==this._show&&(this._show=new r.Uint8Buffer(this.regl_wrapper));const h=i._unique_marker_types.length;for(const t of i._unique_marker_types){if(null==t)continue;let r=_;const a=this._show.length,n=this._show.get_sized_array(_);if(h>1||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;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=h.BaseMarkerGL.missing_point,t[2*e+1]=h.BaseMarkerGL.missing_point);this._centers.update(),this._widths.set_from_prop(this.glyph.size),this._angles.set_from_prop(this.glyph.angle),this._marker_types=this.glyph.marker,this._unique_marker_types=[...new Set(this._marker_types)]}}e.MultiMarkerGL=a,a.__name__=\"MultiMarkerGL\"},\n      429: function _(s,t,e,i,r){i();const h=s(421),_=s(424);class l extends _.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,e){this._draw_impl(s,e,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));const t=this._centers.get_sized_array(2*s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=_.SingleMarkerGL.missing_point,t[2*e+1]=_.SingleMarkerGL.missing_point);this._centers.update(),this._widths.set_from_array(this.glyph.sw),this._heights.set_from_array(this.glyph.sh),this._angles.set_from_prop(this.glyph.angle)}}e.RectGL=l,l.__name__=\"RectGL\"},\n      }, 409, {\"models/glyphs/webgl/main\":409,\"models/glyphs/webgl/index\":410,\"models/glyphs/webgl/regl_wrap\":411,\"models/glyphs/webgl/dash_cache\":413,\"models/glyphs/webgl/utils/math\":414,\"models/glyphs/webgl/regl_line.vert\":415,\"models/glyphs/webgl/regl_line.frag\":416,\"models/glyphs/webgl/marker.vert\":417,\"models/glyphs/webgl/marker.frag\":418,\"models/glyphs/webgl/base_marker\":419,\"models/glyphs/webgl/base\":420,\"models/glyphs/webgl/buffer\":421,\"models/glyphs/webgl/webgl_utils\":422,\"models/glyphs/webgl/circle\":423,\"models/glyphs/webgl/single_marker\":424,\"models/glyphs/webgl/hex_tile\":425,\"models/glyphs/webgl/line_gl\":426,\"models/glyphs/webgl/lrtb\":427,\"models/glyphs/webgl/multi_marker\":428,\"models/glyphs/webgl/rect\":429}, {});});\n\n      /* END bokeh-gl.min.js */\n    },\n    function(Bokeh) {\n      /* BEGIN bokeh-widgets.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      439: function _(t,e,i,o,r){o();const s=(0,t(1).__importStar)(t(440));i.Widgets=s;(0,t(7).register_models)(s)},\n      440: function _(t,e,r,o,u){o(),u(\"AbstractButton\",t(441).AbstractButton),u(\"AbstractIcon\",t(444).AbstractIcon),u(\"AutocompleteInput\",t(445).AutocompleteInput),u(\"Button\",t(450).Button),u(\"CheckboxButtonGroup\",t(451).CheckboxButtonGroup),u(\"CheckboxGroup\",t(454).CheckboxGroup),u(\"ColorPicker\",t(456).ColorPicker),u(\"DatePicker\",t(457).DatePicker),u(\"DateRangeSlider\",t(460).DateRangeSlider),u(\"DateSlider\",t(465).DateSlider),u(\"DatetimeRangeSlider\",t(466).DatetimeRangeSlider),u(\"Div\",t(467).Div),u(\"Dropdown\",t(470).Dropdown),u(\"FileInput\",t(471).FileInput),u(\"InputWidget\",t(448).InputWidget),u(\"Markup\",t(468).Markup),u(\"MultiSelect\",t(472).MultiSelect),u(\"Paragraph\",t(473).Paragraph),u(\"PasswordInput\",t(474).PasswordInput),u(\"MultiChoice\",t(475).MultiChoice),u(\"NumericInput\",t(478).NumericInput),u(\"PreText\",t(479).PreText),u(\"RadioButtonGroup\",t(480).RadioButtonGroup),u(\"RadioGroup\",t(481).RadioGroup),u(\"RangeSlider\",t(482).RangeSlider),u(\"Select\",t(483).Select),u(\"Slider\",t(484).Slider),u(\"Spinner\",t(485).Spinner),u(\"TextInput\",t(446).TextInput),u(\"TextAreaInput\",t(486).TextAreaInput),u(\"Toggle\",t(487).Toggle),u(\"Widget\",t(512).Widget)},\n      441: function _(t,e,n,i,s){i();const l=t(1);var o;const r=t(20),c=t(43),u=t(113),_=t(442),a=t(444),d=(0,l.__importStar)(t(318)),h=d;class b extends _.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await(0,u.build_view)(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.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;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(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.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let s;s=n?e=>e: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,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');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_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n      453: function _(n,t,e,o,r){var i;o();const a=n(442),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n      454: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(455),l=e(43),d=e(9),p=(0,o.__importStar)(e(449));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;i<n.length;i++){const s=(0,l.input)({type:\"checkbox\",value:`${i}`});s.addEventListener(\"change\",(()=>this.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<a;t++)for(var i in n=arguments[t])Object.prototype.hasOwnProperty.call(n,i)&&(e[i]=n[i]);return e},e.apply(this,arguments)};function n(){for(var e=0,n=0,t=arguments.length;n<t;n++)e+=arguments[n].length;var a=Array(e),i=0;for(n=0;n<t;n++)for(var o=arguments[n],r=0,l=o.length;r<l;r++,i++)a[i]=o[r];return a}var t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],a={_disable:[],_enable:[],allowInput:!1,allowInvalidPreload:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",autoFillDefaultTime:!0,clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof console&&console.warn(e)},getWeek:function(e){var n=new Date(e.getTime());n.setHours(0,0,0,0),n.setDate(n.getDate()+3-(n.getDay()+6)%7);var t=new Date(n.getFullYear(),0,4);return 1+Math.round(((n.getTime()-t.getTime())/864e5-3+(t.getDay()+6)%7)/7)},hourIncrement:1,ignoredFocusElements:[],inline:!1,locale:\"default\",minuteIncrement:5,mode:\"single\",monthSelectorType:\"dropdown\",nextArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' viewBox='0 0 17 17'><g></g><path d='M13.207 8.472l-7.854 7.854-0.707-0.707 7.146-7.146-7.146-7.148 0.707-0.707 7.854 7.854z' /></svg>\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' viewBox='0 0 17 17'><g></g><path d='M5.207 8.471l7.146 7.147-0.707 0.707-7.853-7.854 7.854-7.853 0.707 0.707-7.147 7.146z' 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l&&l.getTime()===t.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==t&&r.from&&r.to&&t.getTime()>=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;c<i;c+=y)X(new Date(c),!0)||(o=o||c>a&&c<i,c<t&&(!r||c>r)?r=c:c>t&&(!l||c<l)&&(l=c));for(var d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&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\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||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&&c<t&&l.top>t,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;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.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]&&a<t.length;a++)t[a](w.selectedDates,w.input.value,w,n);\"onChange\"===e&&(w.input.dispatchEvent(he(\"change\")),w.input.dispatchEvent(he(\"input\")))}}function he(e){var n=document.createEvent(\"Event\");return n.initEvent(e,!0,!0),n}function ve(e){for(var n=0;n<w.selectedDates.length;n++)if(0===M(w.selectedDates[n],e))return\"\"+n;return!1}function De(){w.config.noCalendar||w.isMobile||!w.monthNav||(w.yearElements.forEach((function(e,n){var t=new Date(w.currentYear,w.currentMonth,1);t.setMonth(w.currentMonth+n),w.config.showMonths>1||\"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.currentYear<w.config.minDate.getFullYear()),w._hideNextMonthArrow=void 0!==w.config.maxDate&&(w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth+1>w.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<n.length;u++)w.config[n[u]]=!0===w.config[n[u]]||\"true\"===w.config[n[u]];for(t.filter((function(e){return void 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k.map(vt)},on:it,off:ot,get:gt,set:mt,setHandle:function(t,e,r,n){if(!((t=Number(t))>=0&&t<k.length))throw new Error(\"noUiSlider: invalid handle number, got: \"+t);ft(t,ht(e,t),!0,!0,n),st(\"update\",t),r&&st(\"set\",t)},reset:function(t){mt(r.start,t)},__moveHandles:function(t,e,r){ut(t,e,V,r)},options:n,updateOptions:function(t,e){var i=gt(),s=[\"margin\",\"limit\",\"padding\",\"range\",\"animate\",\"snap\",\"step\",\"format\",\"pips\",\"tooltips\"];s.forEach((function(e){void 0!==t[e]&&(n[e]=t[e])}));var a=G(n);s.forEach((function(e){void 0!==t[e]&&(r[e]=a[e])})),C=a.spectrum,r.margin=a.margin,r.limit=a.limit,r.padding=a.padding,r.pips?W(r.pips):I(),r.tooltips?B():_(),V=[],mt(o(t.start)?t.start:i,e)},target:w,removePips:I,removeTooltips:_,getPositions:function(){return V.slice()},getTooltips:function(){return v},getOrigins:function(){return p},pips:W};return bt}function K(t,e){if(!t||!t.nodeName)throw new Error(\"noUiSlider: create requires a single element, got: 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.noUi-touch-area{height:100%;width:100%;}.bk-root .noUi-state-tap .noUi-connect,.bk-root .noUi-state-tap .noUi-origin{-webkit-transition:transform 0.3s;transition:transform 0.3s;}.bk-root .noUi-state-drag *{cursor:inherit !important;}.bk-root .noUi-horizontal{height:18px;}.bk-root .noUi-horizontal .noUi-handle{width:34px;height:28px;right:-17px;top:-6px;}.bk-root .noUi-vertical{width:18px;}.bk-root .noUi-vertical .noUi-handle{width:28px;height:34px;right:-6px;top:-17px;}.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle{left:-17px;right:auto;}.bk-root .noUi-target{background:#FAFAFA;border-radius:4px;border:1px solid #D3D3D3;box-shadow:inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;}.bk-root .noUi-connects{border-radius:3px;}.bk-root .noUi-connect{background:#3FB8AF;}.bk-root .noUi-draggable{cursor:ew-resize;}.bk-root .noUi-vertical .noUi-draggable{cursor:ns-resize;}.bk-root .noUi-handle{border:1px solid #D9D9D9;border-radius:3px;background:#FFF;cursor:default;box-shadow:inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;}.bk-root .noUi-active{box-shadow:inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;}.bk-root .noUi-handle:before,.bk-root .noUi-handle:after{content:\"\";display:block;position:absolute;height:14px;width:1px;background:#E8E7E6;left:14px;top:6px;}.bk-root .noUi-handle:after{left:17px;}.bk-root .noUi-vertical .noUi-handle:before,.bk-root .noUi-vertical .noUi-handle:after{width:14px;height:1px;left:6px;top:14px;}.bk-root .noUi-vertical .noUi-handle:after{top:17px;}.bk-root [disabled] .noUi-connect{background:#B8B8B8;}.bk-root [disabled].noUi-target,.bk-root [disabled].noUi-handle,.bk-root [disabled] .noUi-handle{cursor:not-allowed;}.bk-root .noUi-pips,.bk-root .noUi-pips *{-moz-box-sizing:border-box;box-sizing:border-box;}.bk-root .noUi-pips{position:absolute;color:#999;}.bk-root .noUi-value{position:absolute;white-space:nowrap;text-align:center;}.bk-root .noUi-value-sub{color:#ccc;font-size:10px;}.bk-root 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.noUi-marker-vertical.noUi-marker{width:5px;height:2px;margin-top:-1px;}.bk-root .noUi-marker-vertical.noUi-marker-sub{width:10px;}.bk-root .noUi-marker-vertical.noUi-marker-large{width:15px;}.bk-root .noUi-tooltip{display:block;position:absolute;border:1px solid #D9D9D9;border-radius:3px;background:#fff;color:#000;padding:5px;text-align:center;white-space:nowrap;}.bk-root .noUi-horizontal .noUi-tooltip{-webkit-transform:translate(-50%, 0);transform:translate(-50%, 0);left:50%;bottom:120%;}.bk-root .noUi-vertical .noUi-tooltip{-webkit-transform:translate(0, -50%);transform:translate(0, -50%);top:50%;right:120%;}.bk-root .noUi-horizontal .noUi-origin > .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 i<t.length&&s.push(t.slice(i)),s.join(\"\")}contains_tex_string(){return!!this.provider.MathJax&&this.provider.MathJax.find_tex(this.model.text).length>0}}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 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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 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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;n<s;n+=1)t.push(new r(i[n],this.options));return{tokenSearchers:t,fullSearcher:new r(e,this.options)}}},{key:\"_search\",value:function(){var e=arguments.length>0&&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;r<o;r+=1)this._analyze({key:\"\",value:i[r],record:r,index:r},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t});return{weights:null,results:s}}for(var a={},c=0,l=i.length;c<l;c+=1)for(var 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n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var pe=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&de(t.prototype,i),n&&de(t,n),e}();function me(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var fe=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.delimiter;return(i=e.call(this,{element:n,classNames:s})||this).delimiter=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,n=o,(s=[{key:\"value\",get:function(){return this.element.value},set:function(e){var t=e.map((function(e){return e.value})).join(this.delimiter);this.element.setAttribute(\"value\",t),this.element.value=t}}])&&me(n.prototype,s),r&&me(n,r),o}(pe);function ve(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var ge=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.template;return(i=e.call(this,{element:n,classNames:s})||this).template=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,o.prototype.appendDocFragment=function(e){this.element.innerHTML=\"\",this.element.appendChild(e)},n=o,(s=[{key:\"placeholderOption\",get:function(){return this.element.querySelector('option[value=\"\"]')||this.element.querySelector(\"option[placeholder]\")}},{key:\"optionGroups\",get:function(){return Array.from(this.element.getElementsByTagName(\"OPTGROUP\"))}},{key:\"options\",get:function(){return Array.from(this.element.options)},set:function(e){var t=this,i=document.createDocumentFragment();e.forEach((function(e){return n=e,s=t.template(n),void i.appendChild(s);var n,s})),this.appendDocFragment(i)}}])&&ve(n.prototype,s),r&&ve(n,r),o}(pe),_e={containerOuter:function(e,t,i,n,s,r){var o=e.containerOuter,a=Object.assign(document.createElement(\"div\"),{className:o});return a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=\"Remove item\",_=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:g});_.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),_.dataset.button=\"\",v.appendChild(_)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"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<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var we=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Oe={},Ce=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=h.type===re,this._isSelectOneElement=h.type===oe,this._isSelectMultipleElement=h.type===ae,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new fe({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new ge({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return t+\"-\"+i.replace(/(:|\\.|\\[|\\]|,)/g,\"\")}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Oe},get templates(){return _e}})}}],(t=null)&&Se(e.prototype,t),i&&Se(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=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<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(Ie(!0))},r._stopLoading=function(){this._store.dispatch(Ie(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=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.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&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<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(_e,t)},r._createElements=function(){this.containerOuter=new ce({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new ce({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new he({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ue({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ue({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Ce}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=o():\"function\"==typeof define&&define.amd?define([],o):\"object\"==typeof i?i.Choices=o():r.Choices=o()},\n      477: function _(o,e,i,t,r){t(),i.root=\"bk-root\",i.default=\".bk-root{}.bk-root .choices{position:relative;margin-bottom:24px;font-size:16px;}.bk-root .choices:focus{outline:none;}.bk-root .choices:last-child{margin-bottom:0;}.bk-root .choices.is-disabled .choices__inner,.bk-root .choices.is-disabled .choices__input{background-color:#eaeaea;cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;}.bk-root .choices.is-disabled .choices__item{cursor:not-allowed;}.bk-root .choices [hidden]{display:none !important;}.bk-root .choices[data-type*='select-one']{cursor:pointer;}.bk-root .choices[data-type*='select-one'] .choices__inner{padding-bottom:7.5px;}.bk-root .choices[data-type*='select-one'] .choices__input{display:block;width:100%;padding:10px;border-bottom:1px solid #dddddd;background-color:#ffffff;margin:0;}.bk-root .choices[data-type*='select-one'] .choices__button{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);padding:0;background-size:8px;position:absolute;top:50%;right:0;margin-top:-10px;margin-right:25px;height:20px;width:20px;border-radius:10em;opacity:0.5;}.bk-root .choices[data-type*='select-one'] .choices__button:hover,.bk-root .choices[data-type*='select-one'] .choices__button:focus{opacity:1;}.bk-root .choices[data-type*='select-one'] .choices__button:focus{box-shadow:0px 0px 0px 2px #00bcd4;}.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button{display:none;}.bk-root .choices[data-type*='select-one']:after{content:'';height:0;width:0;border-style:solid;border-color:#333333 transparent transparent transparent;border-width:5px;position:absolute;right:11.5px;top:50%;margin-top:-2.5px;pointer-events:none;}.bk-root .choices[data-type*='select-one'].is-open:after{border-color:transparent transparent #333333 transparent;margin-top:-7.5px;}.bk-root .choices[data-type*='select-one'][dir='rtl']:after{left:11.5px;right:auto;}.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button{right:auto;left:0;margin-left:25px;margin-right:0;}.bk-root .choices[data-type*='select-multiple'] .choices__inner,.bk-root .choices[data-type*='text'] .choices__inner{cursor:text;}.bk-root .choices[data-type*='select-multiple'] .choices__button,.bk-root .choices[data-type*='text'] .choices__button{position:relative;display:inline-block;margin-top:0;margin-right:-4px;margin-bottom:0;margin-left:8px;padding-left:16px;border-left:1px solid #008fa1;background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);background-size:8px;width:8px;line-height:1;opacity:0.75;border-radius:0;}.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,.bk-root .choices[data-type*='text'] .choices__button:hover,.bk-root .choices[data-type*='text'] .choices__button:focus{opacity:1;}.bk-root .choices__inner{display:inline-block;vertical-align:top;width:100%;background-color:#f9f9f9;padding:7.5px 7.5px 3.75px;border:1px solid #dddddd;border-radius:2.5px;font-size:14px;min-height:44px;overflow:hidden;}.bk-root .is-focused .choices__inner,.bk-root .is-open .choices__inner{border-color:#b7b7b7;}.bk-root .is-open .choices__inner{border-radius:2.5px 2.5px 0 0;}.bk-root .is-flipped.is-open .choices__inner{border-radius:0 0 2.5px 2.5px;}.bk-root .choices__list{margin:0;padding-left:0;list-style:none;}.bk-root .choices__list--single{display:inline-block;padding:4px 16px 4px 4px;width:100%;}.bk-root [dir='rtl'] .choices__list--single{padding-right:4px;padding-left:16px;}.bk-root .choices__list--single .choices__item{width:100%;}.bk-root .choices__list--multiple{display:inline;}.bk-root .choices__list--multiple .choices__item{display:inline-block;vertical-align:middle;border-radius:20px;padding:4px 10px;font-size:12px;font-weight:500;margin-right:3.75px;margin-bottom:3.75px;background-color:#00bcd4;border:1px solid #00a5bb;color:#ffffff;word-break:break-all;box-sizing:border-box;}.bk-root .choices__list--multiple .choices__item[data-deletable]{padding-right:5px;}.bk-root [dir='rtl'] .choices__list--multiple .choices__item{margin-right:0;margin-left:3.75px;}.bk-root .choices__list--multiple .choices__item.is-highlighted{background-color:#00a5bb;border:1px solid #008fa1;}.bk-root .is-disabled .choices__list--multiple .choices__item{background-color:#aaaaaa;border:1px solid #919191;}.bk-root .choices__list--dropdown{visibility:hidden;z-index:1;position:absolute;width:100%;background-color:#ffffff;border:1px solid #dddddd;top:100%;margin-top:-1px;border-bottom-left-radius:2.5px;border-bottom-right-radius:2.5px;overflow:hidden;word-break:break-all;will-change:visibility;}.bk-root .choices__list--dropdown.is-active{visibility:visible;}.bk-root .is-open .choices__list--dropdown{border-color:#b7b7b7;}.bk-root .is-flipped .choices__list--dropdown{top:auto;bottom:100%;margin-top:0;margin-bottom:-1px;border-radius:0.25rem 0.25rem 0 0;}.bk-root .choices__list--dropdown .choices__list{position:relative;max-height:300px;overflow:auto;-webkit-overflow-scrolling:touch;will-change:scroll-position;}.bk-root .choices__list--dropdown .choices__item{position:relative;padding:10px;font-size:14px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item{text-align:right;}@media (min-width: 640px){.bk-root .choices__list--dropdown .choices__item--selectable{padding-right:100px;}.bk-root .choices__list--dropdown .choices__item--selectable:after{content:attr(data-select-text);font-size:12px;opacity:0;position:absolute;right:10px;top:50%;transform:translateY(-50%);}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable{text-align:right;padding-left:100px;padding-right:10px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after{right:auto;left:10px;}}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted{background-color:#f2f2f2;}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after{opacity:0.5;}.bk-root .choices__item{cursor:default;}.bk-root .choices__item--selectable{cursor:pointer;}.bk-root .choices__item--disabled{cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;opacity:0.5;}.bk-root .choices__heading{font-weight:600;font-size:12px;padding:10px;border-bottom:1px solid #f7f7f7;color:gray;}.bk-root .choices__button{text-indent:-9999px;-webkit-appearance:none;-moz-appearance:none;appearance:none;border:0;background-color:transparent;background-repeat:no-repeat;background-position:center;cursor:pointer;}.bk-root .choices__button:focus{outline:none;}.bk-root .choices__input{display:inline-block;vertical-align:baseline;background-color:#f9f9f9;font-size:14px;margin-bottom:5px;border:0;border-radius:0;max-width:100%;padding:4px 0 4px 2px;}.bk-root .choices__input:focus{outline:0;}.bk-root [dir='rtl'] .choices__input{padding-right:2px;padding-left:0;}.bk-root .choices__placeholder{opacity:0.5;}.bk-root .choices{width:100%;}.bk-root .choices{box-sizing:border-box;}.bk-root .choices *,.bk-root .choices *:before,.bk-root .choices *:after{box-sizing:inherit;}.bk-root .choices__inner .choices__item.light{background-color:rgba(0, 126, 255, 0.08);border-radius:5px;border:1px solid rgba(0, 126, 255, 0.24);color:#007eff;}.bk-root .choices__inner .choices__item.solid{background-color:#1f77b4;border:none;border-radius:5px;color:white;}.bk-root .choices__inner .choices__item.solid .is-highlighted{background-color:#1f77b4;border:none;}.bk-root .choices__input{background-color:transparent;}.bk-root .choices__inner{background:transparent;border:1px solid darkgray;border-radius:5px;min-height:unset;}.bk-root .choices__list{white-space:initial;}.bk-root .choices__list--dropdown{z-index:100;}.bk-root .choices[data-type*=select-multiple] .choices__button.light{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);}.bk-root .choices[data-type*=select-multiple] .choices__button.solid{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);border-left:1px solid white;opacity:1;}\"},\n      478: function _(e,t,l,i,n){i();const s=e(1);var u;const h=(0,s.__importStar)(e(153)),o=e(448),a=e(131),r=e(43),d=e(8),p=e(11),_=(0,s.__importStar)(e(449)),m=/^[-+]?\\d*$/,c=/^[-+]?\\d*\\.?\\d*(?:(?:\\d|\\d.)[eE][-+]?)*\\d*$/;class v extends o.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.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<t&&(this.model.value=t)})),this.connect(this.model.properties.high.change,(()=>{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):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n      479: function _(e,t,r,s,n){var a;s();const o=e(468),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n      480: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(452),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n      481: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(455),r=(0,s.__importStar)(e(449));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;a<t.length;a++){const s=(0,o.input)({type:\"radio\",name:n,value:`${a}`});s.addEventListener(\"change\",(()=>this.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 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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 ? 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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 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r.extend(!0,[],t)}i(t),this.hasDepth=function(){for(var n in t)if(t[n].hasOwnProperty(\"columns\"))return!0;return!1},this.getTreeColumns=function(){return t},this.extractColumns=function(){return this.hasDepth()?c(t):t},this.getDepth=function(){return s(t)},this.getColumnsInDepth=function(n){return l(t,n)},this.getColumnsInGroup=function(t){return c(t)},this.visibleColumns=function(){return o(h(),(function(){return this.visible}))},this.filter=function(t){return o(h(),t)},this.reOrder=function(n){return e(t,n)},this.getById=function(t){return n[t]},this.getInIds=function(t){return t.map((function(t){return n[t]}))}},keyCode:{SPACE:8,BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,A:65,C:67,V:86},preClickClassName:\"slick-edit-preclick\",GridAutosizeColsMode:{None:\"NOA\",LegacyOff:\"LOF\",LegacyForceFit:\"LFF\",IgnoreViewport:\"IGV\",FitColsToViewport:\"FCV\",FitViewportToCols:\"FVC\"},ColAutosizeMode:{Locked:\"LCK\",Guide:\"GUI\",Content:\"CON\",ContentIntelligent:\"CTI\"},RowSelectionMode:{FirstRow:\"FS1\",FirstNRows:\"FSN\",AllRows:\"ALL\",LastRow:\"LS1\"},ValueFilterMode:{None:\"NONE\",DeDuplicate:\"DEDP\",GetGreatestAndSub:\"GR8T\",GetLongestTextAndSub:\"LNSB\",GetLongestText:\"LNSC\"},WidthEvalMode:{CanvasTextSize:\"CANV\",HTML:\"HTML\"}}},\n      501: function _(e,t,o,l,n){var i=e(498),c=e(500);t.exports={CheckboxSelectColumn:function(e){var t,o=null,l=k(),n=new c.EventHandler,r={},d=!1,a=i.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function s(){t.updateColumnHeader(a.columnId,\"\",\"\")}function u(){i(\"#filter-checkbox-selectall-container\").hide()}function h(e,n){var c,s,u,h=t.getSelectedRows(),f={},p=0;if(\"function\"==typeof o)for(u=0;u<t.getDataLength();u++){C(s,t.getDataItem(u),t)||p++}var b=[];for(s=0;s<h.length;s++){c=h[s],C(s,t.getDataItem(c),t)?(f[c]=!0,f[c]!==r[c]&&(t.invalidateRow(c),delete r[c])):b.push(c)}for(s in r)t.invalidateRow(s);(r=f,t.render(),d=h.length&&h.length+p>=t.getDataLength(),a.hideInColumnTitleRow||a.hideSelectAllCheckbox||R(d),a.hideInFilterHeaderRow)||i(\"#header-filter-selector\"+l).prop(\"checked\",d);if(b.length>0){for(s=0;s<b.length;s++){var m=h.indexOf(b[s]);h.splice(m,1)}t.setSelectedRows(h)}}function f(e,o){32==e.which&&t.getColumns()[o.cell].id===a.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||b(o.row),e.preventDefault(),e.stopImmediatePropagation())}function p(e,o){if(t.getColumns()[o.cell].id===a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();b(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function b(e){var o=t.getDataItem(e);C(e,o,t)&&(r[e]?t.setSelectedRows(i.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===g){g=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==a.columnId&&(g=o)}return g}()))}function m(e,o){if(o.column.id==a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(i(e.target).is(\":checked\")){for(var l=[],n=0;n<t.getDataLength();n++){C(n,t.getDataItem(n),t)&&l.push(n)}t.setSelectedRows(l)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}\"function\"==typeof a.selectableOverride&&v(a.selectableOverride);var g=null;function k(){return Math.round(1e7*Math.random())}function w(e,t,o,l,n,i){var c=k()+e;return n&&C(e,n,i)?r[e]?\"<input id='selector\"+c+\"' type='checkbox' checked='checked'><label for='selector\"+c+\"'></label>\":\"<input id='selector\"+c+\"' type='checkbox'><label for='selector\"+c+\"'></label>\":null}function C(e,t,l){return\"function\"!=typeof o||o(e,t,l)}function R(e){e?t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox' checked='checked'><label for='header-selector\"+l+\"'></label>\",a.toolTip):t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",a.toolTip)}function v(e){o=e}i.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,h).subscribe(t.onClick,p).subscribe(t.onKeyDown,f),a.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(i(t.node).empty(),i(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+l+\"' type='checkbox'><label for='header-filter-selector\"+l+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){m(e,t)})))}))}(e),a.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,m)},destroy:function(){n.unsubscribeAll()},pluginName:\"CheckboxSelectColumn\",deSelectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(i.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]||(n[n.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(n))},getColumnDefinition:function(){return{id:a.columnId,name:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",toolTip:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":a.toolTip,field:\"sel\",width:a.width,resizable:!1,sortable:!1,cssClass:a.cssClass,hideSelectAllCheckbox:a.hideSelectAllCheckbox,formatter:w}},getOptions:function(){return a},selectableOverride:v,setOptions:function(e){if((a=i.extend(!0,{},a,e)).hideSelectAllCheckbox)s(),u();else if(a.hideInColumnTitleRow?s():(R(d),n.subscribe(t.onHeaderClick,m)),a.hideInFilterHeaderRow)u();else{var o=i(\"#filter-checkbox-selectall-container\");o.show(),o.find('input[type=\"checkbox\"]').prop(\"checked\",d)}}})}}},\n      502: function _(e,t,o,l,n){var a=e(498),r=e(500),i=r.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,l=this,n=e||{},s=n.copiedCellStyleLayerKey||\"copy-manager\",u=n.copiedCellStyle||\"copied\",c=0,d=n.bodyElement||document.body,f=n.onCopyInit||null,h=n.onCopySuccess||null;function C(e){if(n.headerColumnValueExtractor){var t=n.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,l){if(n.dataItemColumnValueExtractor){var r=n.dataItemColumnValueExtractor(e,o);if(r)return r}var i=\"\";if(o.editor){var s={container:a(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:l},u=new o.editor(s);u.loadValue(e),i=u.serializeValue(),u.destroy()}else i=e[o.field];return i}function g(e,o,l){if(o.denyPaste)return null;if(n.dataItemColumnValueSetter)return n.dataItemColumnValueSetter(e,o,l);if(o.editor){var r={container:a(\"body\"),column:o,position:{top:0,left:0},grid:t},i=new o.editor(r);i.loadValue(e),i.applyValue(e,l),i.destroy()}else e[o.field]=l}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,a){var r;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==i.ESC&&o&&(e.preventDefault(),w(),l.onCopyCancelled.notify({ranges:o}),o=null),(e.which===i.C||e.which===i.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!==(r=t.getSelectionModel().getSelectedRanges()).length)){o=r,v(r),l.onCopyCells.notify({ranges:r});for(var s=t.getColumns(),u=\"\",c=0;c<r.length;c++){for(var y=r[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(0===D.length&&n.includeHeaderWhenCopying){for(var E=[],V=y.fromCell;V<y.toCell+1;V++)s[V].name.length>0&&E.push(C(s[V]));D.push(E.join(\"\\t\"))}for(V=y.fromCell;V<y.toCell+1;V++)R.push(m(x,s[V],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===r.length?r[0].toRow+1-r[0].fromRow:r.length,h.call(this,I)}return!1}if(!n.readOnlyMode&&(e.which===i.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===i.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),a=t.value.split(/[\\n\\f\\r]/);\"\"===a[a.length-1]&&a.pop();var r=[],i=0;d.removeChild(t);for(var s=0;s<a.length;s++)\"\"!==a[s]?r[i++]=a[s].split(\"\\t\"):r[i++]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=r.length,y=r.length?r[0].length:0;1==r.length&&1==r[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&n.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(n.newRowCreator&&R){var x=h+p-e.getDataLength();n.newRowCreator(x)}var E={isClipboardCommand:!0,clippedRange:r,oldValues:[],cellExternalCopyManager:l,_options:n,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var i=e.getDataItem(n);this.oldValues[t][l]=i[o[a].field],m?this.setDataItemValueForColumn(i,o[a],r[0][0]):this.setDataItemValueForColumn(i,o[a],r[t]?r[t][l]:\"\"),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};n.clipboardCommandHandler?n.clipboardCommandHandler(E):E.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),n={},a=0;a<e.length;a++)for(var r=e[a].fromRow;r<=e[a].toRow;r++){n[r]={};for(var i=e[a].fromCell;i<=e[a].toCell&&i<o.length;i++)n[r][o[i].id]=u}t.setCellCssStyles(s,n),clearTimeout(c),c=setTimeout((function(){l.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}a.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},pluginName:\"CellExternalCopyManager\",clearCopySelection:w,handleKeyDown:y,onCopyCells:new r.Event,onCopyCancelled:new r.Event,onPasteCells:new r.Event,setIncludeHeaderWhenCopying:function(e){n.includeHeaderWhenCopying=e}})}}},\n      503: function _(r,t,o,_,e){var p=r(1);p.__exportStar(r(500),t.exports),p.__exportStar(r(504),t.exports),p.__exportStar(r(507),t.exports),p.__exportStar(r(508),t.exports),p.__exportStar(r(509),t.exports),p.__exportStar(r(510),t.exports),p.__exportStar(r(511),t.exports)},\n      504: function _(require,module,exports,__esModule,__esExport){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.4\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(498),Slick=require(500),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(505),$.fn.drop||require(506);var defaults={alwaysShowVerticalScroll:!1,alwaysAllowHorizontalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showColumnHeader:!0,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,frozenBottom:!1,frozenColumn:-1,frozenRow:-1,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1,doPaging:!0,autosizeColsMode:Slick.GridAutosizeColsMode.LegacyOff,autosizeColPaddingPx:4,autosizeTextAvgToMWidthRatio:.75,viewportSwitchToScrollModeWidthPercent:void 0,viewportMinWidthPx:void 0,viewportMaxWidthPx:void 0},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,maxWidth:void 0,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},columnAutosizeDefaults={ignoreHeaderText:!1,colValueArray:void 0,allowAddlPercent:void 0,formatterOverride:void 0,autosizeMode:Slick.ColAutosizeMode.ContentIntelligent,rowSelectionModeOnInit:void 0,rowSelectionMode:Slick.RowSelectionMode.FirstNRows,rowSelectionCount:100,valueFilterMode:Slick.ValueFilterMode.None,widthEvalMode:Slick.WidthEvalMode.CanvasTextSize,sizeToRemaining:void 0,widthPx:void 0,colDataTypeOf:void 0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$groupHeaders=$(),$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacerL,$headerRowSpacerR,$footerRow,$footerRowScroller,$footerRowSpacerL,$footerRowSpacerR,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$preHeaderPanelR,$preHeaderPanelScrollerR,$preHeaderPanelSpacerR,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,treeColumns,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,canvasWidthL,canvasWidthR,headersWidth,headersWidthL,headersWidthR,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,hasFrozenRows=!1,frozenRowsHeight=0,actualFrozenRow=-1,paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,topPanelH=0,headerRowH=0,footerRowH=0,tabbingDirection=1,$activeCanvasNode,$activeViewportNode,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows=0,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,$paneHeaderL,$paneHeaderR,$paneTopL,$paneTopR,$paneBottomL,$paneBottomR,$headerScrollerL,$headerScrollerR,$headerL,$headerR,$groupHeadersL,$groupHeadersR,$headerRowScrollerL,$headerRowScrollerR,$footerRowScrollerL,$footerRowScrollerR,$headerRowL,$headerRowR,$footerRowL,$footerRowR,$topPanelScrollerL,$topPanelScrollerR,$topPanelL,$topPanelR,$viewportTopL,$viewportTopR,$viewportBottomL,$viewportBottomR,$canvasTopL,$canvasTopR,$canvasBottomL,$canvasBottomR,$viewportScrollContainerX,$viewportScrollContainerY,$headerScrollContainer,$headerRowScrollContainer,$footerRowScrollContainer,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");if(cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,treeColumns=new Slick.TreeColumns(columns),columns=treeColumns.extractColumns(),updateColumnProps(),options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");if(editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),$paneHeaderL=$(\"<div class='slick-pane slick-pane-header slick-pane-left' tabIndex='0' />\").appendTo($container),$paneHeaderR=$(\"<div class='slick-pane slick-pane-header slick-pane-right' tabIndex='0' />\").appendTo($container),$paneTopL=$(\"<div class='slick-pane slick-pane-top slick-pane-left' tabIndex='0' />\").appendTo($container),$paneTopR=$(\"<div class='slick-pane slick-pane-top slick-pane-right' tabIndex='0' />\").appendTo($container),$paneBottomL=$(\"<div class='slick-pane slick-pane-bottom slick-pane-left' tabIndex='0' />\").appendTo($container),$paneBottomR=$(\"<div class='slick-pane slick-pane-bottom slick-pane-right' tabIndex='0' />\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderL),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),$preHeaderPanelScrollerR=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderR),$preHeaderPanelR=$(\"<div />\").appendTo($preHeaderPanelScrollerR),$preHeaderPanelSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScrollerR),options.showPreHeaderPanel||($preHeaderPanelScroller.hide(),$preHeaderPanelScrollerR.hide())),$headerScrollerL=$(\"<div class='slick-header ui-state-default slick-header-left' />\").appendTo($paneHeaderL),$headerScrollerR=$(\"<div class='slick-header ui-state-default slick-header-right' />\").appendTo($paneHeaderR),$headerScroller=$().add($headerScrollerL).add($headerScrollerR),treeColumns.hasDepth()){$groupHeadersL=[],$groupHeadersR=[];for(var e=0;e<treeColumns.getDepth()-1;e++)$groupHeadersL[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$groupHeadersR[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR);$groupHeaders=$().add($groupHeadersL).add($groupHeadersR)}$headerL=$(\"<div class='slick-header-columns slick-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$headerR=$(\"<div class='slick-header-columns slick-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR),$headers=$().add($headerL).add($headerR),$headerRowScrollerL=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopL),$headerRowScrollerR=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopR),$headerRowScroller=$().add($headerRowScrollerL).add($headerRowScrollerR),$headerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerL),$headerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerR),$headerRowL=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-left' />\").appendTo($headerRowScrollerL),$headerRowR=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-right' />\").appendTo($headerRowScrollerR),$headerRow=$().add($headerRowL).add($headerRowR),$topPanelScrollerL=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopL),$topPanelScrollerR=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopR),$topPanelScroller=$().add($topPanelScrollerL).add($topPanelScrollerR),$topPanelL=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerL),$topPanelR=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerR),$topPanel=$().add($topPanelL).add($topPanelR),options.showColumnHeader||$headerScroller.hide(),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),$viewportTopL=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneTopL),$viewportTopR=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneTopR),$viewportBottomL=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneBottomL),$viewportBottomR=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneBottomR),$viewport=$().add($viewportTopL).add($viewportTopR).add($viewportBottomL).add($viewportBottomR),$activeViewportNode=$viewportTopL,$canvasTopL=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportTopL),$canvasTopR=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportTopR),$canvasBottomL=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportBottomL),$canvasBottomR=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportBottomR),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$().add($canvasTopL).add($canvasTopR).add($canvasBottomL).add($canvasBottomR),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$activeCanvasNode=$canvasTopL,$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacerL.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headerRowSpacerR.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScrollerR=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopR),$footerRowScrollerL=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopL),$footerRowScroller=$().add($footerRowScrollerL).add($footerRowScrollerR),$footerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerL),$footerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerR),$footerRowL=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-left' />\").appendTo($footerRowScrollerL),$footerRowR=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-right' />\").appendTo($footerRowScrollerR),$footerRow=$().add($footerRowL).add($footerRowR),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,getViewportWidth(),getViewportHeight(),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),setFrozenOptions(),setPaneVisibility(),setScroller(),setOverflow(),updateColumnCaches(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$.fn.mousewheel&&$viewport.on(\"mousewheel\",handleMouseWheel),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&($footerRow.on(\"contextmenu\",handleFooterContextMenu).on(\"click\",handleFooterClick),$footerRowScroller.on(\"scroll\",handleFooterRowScroll)),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function hasFrozenColumns(){return options.frozenColumn>-1}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function getPluginByName(e){for(var o=plugins.length-1;o>=0;o--)if(plugins[o].pluginName===e)return plugins[o]}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(e,o){e||(e=0),o||(o=0);var t=\"number\"==typeof e?e:getColumnIndex(e);return hasFrozenRows&&o>=actualFrozenRow+(options.frozenBottom?0:1)?hasFrozenColumns()&&t>options.frozenColumn?$canvasBottomR[0]:$canvasBottomL[0]:hasFrozenColumns()&&t>options.frozenColumn?$canvasTopR[0]:$canvasTopL[0]}function getActiveCanvasNode(e){return setActiveCanvasNode(e),$activeCanvasNode[0]}function getCanvases(){return $canvas}function setActiveCanvasNode(e){e&&($activeCanvasNode=$(e.target).closest(\".grid-canvas\"))}function getViewportNode(){return $viewport[0]}function getActiveViewportNode(e){return setActiveViewPortNode(e),$activeViewportNode[0]}function setActiveViewportNode(e){e&&($activeViewportNode=$(e.target).closest(\".slick-viewport\"))}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo(\"body\"),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getHeadersWidth(){headersWidth=headersWidthL=headersWidthR=0;for(var e=!options.autoHeight,o=0,t=columns.length;o<t;o++){var n=columns[o].width;options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=n:headersWidthL+=n}return e&&(options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=scrollbarDimensions.width:headersWidthL+=scrollbarDimensions.width),hasFrozenColumns()?(headersWidthL+=1e3,headersWidthR=Math.max(headersWidthR,viewportW)+headersWidthL,headersWidthR+=scrollbarDimensions.width):(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidth=headersWidthL+headersWidthR,Math.max(headersWidth,viewportW)+1e3}function getHeadersWidthL(){return headersWidthL=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn||(headersWidthL+=e.width)})),hasFrozenColumns()?headersWidthL+=1e3:(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidthL}function getHeadersWidthR(){return headersWidthR=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn&&(headersWidthR+=e.width)})),hasFrozenColumns()&&(headersWidthR=Math.max(headersWidthR,viewportW)+getHeadersWidthL(),headersWidthR+=scrollbarDimensions.width),headersWidthR}function getCanvasWidth(){var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=columns.length;for(canvasWidthL=canvasWidthR=0;o--;)hasFrozenColumns()&&o>options.frozenColumn?canvasWidthR+=columns[o].width:canvasWidthL+=columns[o].width;var t=canvasWidthL+canvasWidthR;return options.fullWidthRows?Math.max(t,e):t}function updateCanvasWidth(e){var o,t=canvasWidth,n=canvasWidthL,l=canvasWidthR;((o=(canvasWidth=getCanvasWidth())!==t||canvasWidthL!==n||canvasWidthR!==l)||hasFrozenColumns()||hasFrozenRows)&&($canvasTopL.width(canvasWidthL),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),hasFrozenColumns()?($canvasTopR.width(canvasWidthR),$paneHeaderL.width(canvasWidthL),$paneHeaderR.css(\"left\",canvasWidthL),$paneHeaderR.css(\"width\",viewportW-canvasWidthL),$paneTopL.width(canvasWidthL),$paneTopR.css(\"left\",canvasWidthL),$paneTopR.css(\"width\",viewportW-canvasWidthL),$headerRowScrollerL.width(canvasWidthL),$headerRowScrollerR.width(viewportW-canvasWidthL),$headerRowL.width(canvasWidthL),$headerRowR.width(canvasWidthR),options.createFooterRow&&($footerRowScrollerL.width(canvasWidthL),$footerRowScrollerR.width(viewportW-canvasWidthL),$footerRowL.width(canvasWidthL),$footerRowR.width(canvasWidthR)),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$viewportTopL.width(canvasWidthL),$viewportTopR.width(viewportW-canvasWidthL),hasFrozenRows&&($paneBottomL.width(canvasWidthL),$paneBottomR.css(\"left\",canvasWidthL),$viewportBottomL.width(canvasWidthL),$viewportBottomR.width(viewportW-canvasWidthL),$canvasBottomL.width(canvasWidthL),$canvasBottomR.width(canvasWidthR))):($paneHeaderL.width(\"100%\"),$paneTopL.width(\"100%\"),$headerRowScrollerL.width(\"100%\"),$headerRowL.width(canvasWidth),options.createFooterRow&&($footerRowScrollerL.width(\"100%\"),$footerRowL.width(canvasWidth)),options.createPreHeaderPanel&&($preHeaderPanel.width(\"100%\"),$preHeaderPanel.width(canvasWidth)),$viewportTopL.width(\"100%\"),hasFrozenRows&&($viewportBottomL.width(\"100%\"),$canvasBottomL.width(canvasWidthL))),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width),$headerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$headerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),options.createFooterRow&&($footerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$footerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0))),(o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var n=2*e;if(t.css(\"height\",n),n>o||t.height()!==n)break;e=n}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=hasFrozenRows&&!options.frozenBottom?$canvasBottomL[0]:$canvasTopL[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewportTopL[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var n=getColumnIndex(e);if(null!=n){var l=columns[n],r=$headers.children().eq(n);r&&(void 0!==o&&(columns[n].name=o),void 0!==t&&(columns[n].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:l,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:l,grid:self}))}}}function getHeader(e){if(!e)return hasFrozenColumns()?$headers:$headerL;var o=getColumnIndex(e.id);return hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL,n=hasFrozenColumns()?o<=options.frozenColumn?o:o-options.frozenColumn-1:o,l=t.children().eq(n);return l&&l[0]}function getHeaderRow(){return hasFrozenColumns()?$headerRow:$headerRow[0]}function getFooterRow(){return hasFrozenColumns()?$footerRow:$footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getPreHeaderPanelRight(){return $preHeaderPanelR[0]}function getHeaderRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$headerRowL:(o=$headerRowR,t-=options.frozenColumn+1):o=$headerRowL;var n=o.children().eq(t);return n&&n[0]}function getFooterRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$footerRowL:(o=$footerRowR,t-=options.frozenColumn+1):o=$footerRowL;var n=o&&o.children().eq(t);return n&&n[0]}function createColumnFooter(){if(options.createFooterRow){$footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),$footerRowR.empty();for(var e=0;e<columns.length;e++){var o=columns[e],t=$(\"<div class='ui-state-default slick-footerrow-column l\"+e+\" r\"+e+\"'></div>\").data(\"column\",o).addClass(hasFrozenColumns()&&e<=options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e>options.frozenColumn?$footerRowR:$footerRowL);trigger(self.onFooterRowCellRendered,{node:t[0],column:o,grid:self})}}}function createColumnGroupHeaders(){var e=0,o=!1;if(treeColumns.hasDepth()){for(var t=0;t<$groupHeadersL.length;t++){$groupHeadersL[t].empty(),$groupHeadersR[t].empty();var n=treeColumns.getColumnsInDepth(t);for(var l in n){var r=n[l];e+=r.extractColumns().length,hasFrozenColumns()&&0===t&&e-1===options.frozenColumn&&(o=!0),$(\"<div class='ui-state-default slick-group-header-column' />\").html(\"<span class='slick-column-name'>\"+r.name+\"</span>\").attr(\"id\",\"\"+uid+r.id).attr(\"title\",r.toolTip||\"\").data(\"column\",r).addClass(r.headerCssClass||\"\").addClass(hasFrozenColumns()&&e-1>options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e-1>options.frozenColumn?$groupHeadersR[t]:$groupHeadersL[t])}if(hasFrozenColumns()&&0===t&&!o){$groupHeadersL[t].empty(),$groupHeadersR[t].empty(),alert(\"All columns of group should to be grouped!\");break}}applyColumnGroupHeaderWidths()}}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headerL.empty(),$headerR.empty(),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRowL.empty(),$headerRowR.empty(),options.createFooterRow&&($footerRowL.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),hasFrozenColumns()&&($footerRowR.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowR.empty()));for(var t=0;t<columns.length;t++){var n=columns[t],l=hasFrozenColumns()?t<=options.frozenColumn?$headerL:$headerR:$headerL,r=hasFrozenColumns()?t<=options.frozenColumn?$headerRowL:$headerRowR:$headerRowL,i=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+n.name+\"</span>\").width(n.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+n.id).attr(\"title\",n.toolTip||\"\").data(\"column\",n).addClass(n.headerCssClass||\"\").addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(l);if((options.enableColumnReorder||n.sortable)&&i.on(\"mouseenter\",e).on(\"mouseleave\",o),n.hasOwnProperty(\"headerCellAttrs\")&&n.headerCellAttrs instanceof Object)for(var a in n.headerCellAttrs)n.headerCellAttrs.hasOwnProperty(a)&&i.attr(a,n.headerCellAttrs[a]);if(n.sortable&&(i.addClass(\"slick-header-sortable\"),i.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&i.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:i[0],column:n,grid:self}),options.showHeaderRow){var s=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(r);trigger(self.onHeaderRowCellRendered,{node:s[0],column:n,grid:self})}if(options.createFooterRow&&options.showFooterRow){var d=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:d[0],column:n,grid:self})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var n=null,l=0;l<sortColumns.length;l++)if(sortColumns[l].columnId==t.id){(n=sortColumns[l]).sortAsc=!n.sortAsc;break}var r=!!n;options.tristateMultiColumnSort?(n||(n={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&n.sortAsc&&(sortColumns.splice(l,1),n=null),options.multiColumnSort||(sortColumns=[]),!n||r&&options.multiColumnSort||sortColumns.push(n)):e.metaKey&&options.multiColumnSort?n&&sortColumns.splice(l,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),n?0===sortColumns.length&&sortColumns.push(n):(n={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(n))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{columnId:columns[getColumnIndex(e.columnId)].id,sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,columnId:sortColumns.length>0?t.id:null,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function currentPositionInHeader(e){var o=0;return $headers.find(\".slick-header-column\").each((function(t){if(this.id==e)return o=t,!1})),o}function limitPositionInGroup(e){var o,t=0,n=0;return treeColumns.getColumnsInDepth($groupHeadersL.length-1).some((function(l){return t=n,n+=l.columns.length,l.columns.some((function(t){return t.id===e&&(o=l),o})),o})),n--,{start:t,end:n,group:o}}function remove(e,o){var t=e.lastIndexOf(o);t>-1&&(e.splice(t,1),remove(e,o))}function columnPositionValidInGroup(e){var o=currentPositionInHeader(e[0].id),t=limitPositionInGroup(e.data(\"column\").id),n=t.start<=o&&o<=t.end;return{limit:t,valid:n,message:n?\"\":'Column \"'.concat(e.text(),'\" can be reordered only within the \"',t.group.name,'\" group!')}}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\");var e,o=null;function t(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft+10}function n(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft-10}$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(o,t){t.placeholder.width(t.helper.outerWidth()-headerColumnWidthDiff),e=!hasFrozenColumns()||t.placeholder.offset().left+t.placeholder.width()>$viewportScrollContainerX.offset().left,$(t.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},sort:function(l,r){e&&l.originalEvent.pageX>$container[0].clientWidth?o||(o=setInterval(t,100)):e&&l.originalEvent.pageX<$viewportScrollContainerX.offset().left?o||(o=setInterval(n,100)):(clearInterval(o),o=null)},stop:function(e,t){var n=!1;clearInterval(o),o=null;var l=null;if(treeColumns.hasDepth()){var r=columnPositionValidInGroup(t.item);l=r.limit,(n=!r.valid)&&alert(r.message)}if(!n&&getEditorLock().commitCurrentEdit()){var i=$headerL.sortable(\"toArray\");i=i.concat($headerR.sortable(\"toArray\"));for(var a=[],s=0;s<i.length;s++)a.push(columns[getColumnIndex(i[s].replace(uid,\"\"))]);setColumns(a),trigger(self.onColumnsReordered,{impactedColumns:getImpactedColumns(l)}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function getImpactedColumns(e){var o=[];if(e)for(var t=e.start;t<=e.end;t++)o.push(columns[t]);else o=columns;return o}function setupColumnResize(){var e,o,t,n,l,r,i,a,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===a&&(a=e),s=e)})),void 0!==a&&l.each((function(d,c){d>=columns.length||d<a||options.forceFitColumns&&d>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(o,a){if(!getEditorLock().commitCurrentEdit())return!1;n=o.pageX,$(this).parent().addClass(\"slick-header-column-active\");var s=null,c=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(s=0,c=0,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(null!==c&&(t.maxWidth?c+=t.maxWidth-t.previousWidth:c=null),s+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=d;e++)(t=columns[e]).resizable&&(null!==h&&(t.maxWidth?h+=t.maxWidth-t.previousWidth:h=null),u+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));null===s&&(s=1e5),null===u&&(u=1e5),null===c&&(c=1e5),null===h&&(h=1e5),i=n+Math.min(s,h),r=n-Math.min(u,c)})).on(\"drag\",(function(l,a){columnResizeDragging=!0;var s,c,u=Math.min(i,Math.max(r,l.pageX))-n,h=0;if(u<0){for(c=u,e=d;e>=0;e--)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0))}else{for(c=u,h=0,0,e=d;e>=0;e--)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width}hasFrozenColumns()&&h!=canvasWidthL&&($headerL.width(h+1e3),$paneHeaderR.css(\"left\",h)),applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths(),trigger(self.onColumnsDrag,{triggeredByColumn:$(this).parent().attr(\"id\").replace(uid,\"\"),resizeHandle:$(this)})})).on(\"dragend\",(function(o,n){$(this).parent().removeClass(\"slick-header-column-active\");var r,i=$(this).parent().attr(\"id\").replace(uid,\"\");for(!0===trigger(self.onBeforeColumnsResize,{triggeredByColumn:i})&&(applyColumnHeaderWidths(),applyColumnGroupHeaderWidths()),e=0;e<columns.length;e++)t=columns[e],r=$(l[e]).outerWidth(),t.previousWidth!==r&&t.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{triggeredByColumn:i}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return e&&\"function\"==typeof e.css&&$.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,n){o+=parseFloat(e.css(n))||0})),o}function setFrozenOptions(){if(options.frozenColumn=options.frozenColumn>=0&&options.frozenColumn<columns.length?parseInt(options.frozenColumn):-1,options.frozenRow>-1){hasFrozenRows=!0,frozenRowsHeight=options.frozenRow*options.rowHeight;var e=getDataLength();actualFrozenRow=options.frozenBottom?e-options.frozenRow:options.frozenRow}else hasFrozenRows=!1}function setPaneVisibility(){hasFrozenColumns()?($paneHeaderR.show(),$paneTopR.show(),hasFrozenRows?($paneBottomL.show(),$paneBottomR.show()):($paneBottomR.hide(),$paneBottomL.hide())):($paneHeaderR.hide(),$paneTopR.hide(),$paneBottomR.hide(),hasFrozenRows?$paneBottomL.show():($paneBottomR.hide(),$paneBottomL.hide()))}function setOverflow(){$viewportTopL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportTopR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),hasFrozenRows?\"scroll\":\"auto\")}),$viewportBottomL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportBottomR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),\"auto\")}),options.viewportClass&&($viewportTopL.toggleClass(options.viewportClass,!0),$viewportTopR.toggleClass(options.viewportClass,!0),$viewportBottomL.toggleClass(options.viewportClass,!0),$viewportBottomR.toggleClass(options.viewportClass,!0))}function setScroller(){hasFrozenColumns()?($headerScrollContainer=$headerScrollerR,$headerRowScrollContainer=$headerRowScrollerR,$footerRowScrollContainer=$footerRowScrollerR,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomR,$viewportScrollContainerY=$viewportTopR):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomR:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopR):($headerScrollContainer=$headerScrollerL,$headerRowScrollContainer=$headerRowScrollerL,$footerRowScrollContainer=$footerRowScrollerL,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomL,$viewportScrollContainerY=$viewportTopL):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomL:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopL)}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],n=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==n[0]&&n[1]>=8||n[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var l=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(l),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),l.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-group-header-column { left: 1000px; }\",\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var n,l,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(n=/\\.l\\d+/.exec(i))?(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesL[l]=r[o]):(n=/\\.r\\d+/.exec(i))&&(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesR[l]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}var canvas=null,canvas_context=null;function autosizeColumn(e,o){var t=e;if(\"number\"==typeof e)t=columns[e];else if(\"string\"==typeof e)for(var n=0;n<columns.length;n++)columns[n].Id===e&&(t=columns[n]);getColAutosizeWidth(t,$(getCanvasNode(0,0)),o)}function autosizeColumns(e,o){if((e=e||options.autosizeColsMode)!==Slick.GridAutosizeColsMode.LegacyForceFit&&e!==Slick.GridAutosizeColsMode.LegacyOff){if(e!==Slick.GridAutosizeColsMode.None){(canvas=document.createElement(\"canvas\"))&&canvas.getContext&&(canvas_context=canvas.getContext(\"2d\"));var t,n,l,r,i=$(getCanvasNode(0,0)),a=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,s=0,d=0,c=0,u=0,h=0;for(t=0;t<columns.length;t++)getColAutosizeWidth(n=columns[t],i,o),h+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:0,u+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:n.minWidth,s+=n.autoSize.widthPx,d+=n.autoSize.sizeToRemaining?0:n.autoSize.widthPx,c+=n.autoSize.sizeToRemaining&&n.minWidth||0;var p=s-d;if(e===Slick.GridAutosizeColsMode.FitViewportToCols){var m=s+scrollbarDimensions.width;e=Slick.GridAutosizeColsMode.IgnoreViewport,options.viewportMaxWidthPx&&m>options.viewportMaxWidthPx?(m=options.viewportMaxWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport):options.viewportMinWidthPx&&m<options.viewportMinWidthPx&&(m=options.viewportMinWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport),$container.width(m)}if(e===Slick.GridAutosizeColsMode.FitColsToViewport)if(p>0&&d<a-c)for(t=0;t<columns.length;t++){var w=a-d;l=(n=columns[t]).autoSize.sizeToRemaining?w*n.autoSize.widthPx/p:n.autoSize.widthPx,n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}else if(options.viewportSwitchToScrollModeWidthPercent&&d+c>a*options.viewportSwitchToScrollModeWidthPercent/100||u>a)e=Slick.GridAutosizeColsMode.IgnoreViewport;else{var v=d-h,f=a-h-c;for(t=0;t<columns.length;t++)l=(n=columns[t]).width,n.autoSize.autosizeMode!==Slick.ColAutosizeMode.Locked&&(n.autoSize.sizeToRemaining?l=n.minWidth:((l=f/v*n.autoSize.widthPx)<n.minWidth&&(l=n.minWidth),v-=n.autoSize.widthPx,f-=l)),n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}if(e===Slick.GridAutosizeColsMode.IgnoreViewport)for(t=0;t<columns.length;t++)l=columns[t].autoSize.widthPx,columns[t].rerenderOnResize&&columns[t].width!=l&&(r=!0),columns[t].width=l;reRenderColumns(r)}}else legacyAutosizeColumns()}function LogColWidths(){for(var e=\"Col Widths:\",o=0;o<columns.length;o++)e+=\" \"+columns[o].width;console.log(e)}function getColAutosizeWidth(e,o,t){var n=e.autoSize;if(n.widthPx=e.width,n.autosizeMode!==Slick.ColAutosizeMode.Locked&&n.autosizeMode!==Slick.ColAutosizeMode.Guide){var l=getDataLength();if(n.autosizeMode===Slick.ColAutosizeMode.ContentIntelligent){var r,i=n.colDataTypeOf;if(l>0){var a=getDataItem(0);a&&\"object\"===(i=typeof(r=a[e.field]))&&(r instanceof Date&&(i=\"date\"),\"undefined\"!=typeof moment&&r instanceof moment&&(i=\"moment\"))}\"boolean\"===i&&(n.colValueArray=[!0,!1]),\"number\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetGreatestAndSub,n.rowSelectionMode=Slick.RowSelectionMode.AllRows),\"string\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetLongestText,n.rowSelectionMode=Slick.RowSelectionMode.AllRows,n.allowAddlPercent=5),\"date\"===i&&(n.colValueArray=[new Date(2009,8,30,12,20,20)]),\"moment\"===i&&\"undefined\"!=typeof moment&&(n.colValueArray=[moment([2009,8,30,12,20,20])])}var s=getColContentSize(e,o,t);s=s*(n.allowAddlPercent?1+n.allowAddlPercent/100:1)+options.autosizeColPaddingPx,e.minWidth&&s<e.minWidth&&(s=e.minWidth),e.maxWidth&&s>e.maxWidth&&(s=e.maxWidth),n.widthPx=s}}function getColContentSize(e,o,t){var n,l=e.autoSize,r=1,i=0,a=0;if(l.ignoreHeaderText||(a=getColHeaderWidth(e)),l.colValueArray)return i=getColWidth(e,o,l.colValueArray),Math.max(a,i);var s=getData();s.getItems&&(s=s.getItems());var d=(t?l.rowSelectionModeOnInit:void 0)||l.rowSelectionMode;if(d===Slick.RowSelectionMode.FirstRow&&(s=s.slice(0,1)),d===Slick.RowSelectionMode.LastRow&&(s=s.slice(s.length-1,s.length)),d===Slick.RowSelectionMode.FirstNRows&&(s=s.slice(0,l.rowSelectionCount)),l.valueFilterMode===Slick.ValueFilterMode.DeDuplicate){var c={};for(u=0,n=s.length;u<n;u++)c[s[u][e.field]]=!0;if(Object.keys)s=Object.keys(c);else for(var u in s=[],c)s.push(u)}if(l.valueFilterMode===Slick.ValueFilterMode.GetGreatestAndSub){var h,p=0;for(u=0,n=s.length;u<n;u++)w=s[u][e.field],Math.abs(w)>p&&(h=w,p=Math.abs(w));h=\"\"+h,s=[h=+(h=Array(h.length+1).join(\"9\"))]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestTextAndSub){var m=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length);w=Array(m+1).join(\"m\"),r=options.autosizeTextAvgToMWidthRatio,s=[w]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestText){m=0;var w,v=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length,v=u);s=[w=s[v][e.field]]}return i=getColWidth(e,o,s)*r,Math.max(a,i)}function getColWidth(e,o,t){var n=getColumnIndex(e.id),l=$('<div class=\"slick-row ui-widget-content\"></div>'),r=$('<div class=\"slick-cell\"></div>');r.css({position:\"absolute\",visibility:\"hidden\",\"text-overflow\":\"initial\",\"white-space\":\"nowrap\"}),l.append(r),o.append(l);var i,a,s,d,c=0;return canvas_context&&e.autoSize.widthEvalMode===Slick.WidthEvalMode.CanvasTextSize?(canvas_context.font=r.css(\"font-size\")+\" \"+r.css(\"font-family\"),$(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,(i=(a=\"\"+d)?canvas_context.measureText(a).width:0)>c&&(c=i,s=a)})),r.html(s),i=r.outerWidth(),l.remove(),i):($(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,applyFormatResultToCellNode(e.formatterOverride?e.formatterOverride(o,n,d,e,t):e.formatter?e.formatter(o,n,d,e,t):\"\"+d,r[0]),(i=r.outerWidth())>c&&(c=i)})),l.remove(),c)}function getColHeaderWidth(e){var o=0,t=getUID()+e.id,n=document.getElementById(t),l=t+\"_\";if(n){var r=n.cloneNode(!0);r.id=l,r.style.cssText=\"position: absolute; visibility: hidden;right: auto;text-overflow: initial;white-space: nowrap;\",n.parentNode.insertBefore(r,n),o=r.offsetWidth,r.parentNode.removeChild(r)}else{var i=getHeader(e);o=(n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+e.name+\"</span>\").attr(\"id\",l).css({position:\"absolute\",visibility:\"hidden\",right:\"auto\",\"text-overflow:\":\"initial\",\"white-space\":\"nowrap\"}).addClass(e.headerCssClass||\"\").appendTo(i))[0].offsetWidth,i[0].removeChild(n[0])}return o}function legacyAutosizeColumns(){var e,o,t,n=[],l=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],n.push(o.width),r+=o.width,o.resizable&&(l+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&l;){var a=(r-i)/l;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var s=n[e];if(!(!o.resizable||s<=o.minWidth||s<=absoluteColumnMinWidth)){var d=Math.max(o.minWidth,absoluteColumnMinWidth),c=Math.floor(a*(s-d))||1;r-=c=Math.min(c,s-d),l-=c,n[e]-=c}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=n[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,n[e]+=r<=i?h:0}if(t>=r)break;t=r}var m=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=n[e]&&(m=!0),columns[e].width=n[e];reRenderColumns(m)}function reRenderColumns(e){applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),e&&(invalidateAllRows(),render())}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function applyColumnGroupHeaderWidths(){if(treeColumns.hasDepth())for(var e=$groupHeadersL.length-1;e>=0;e--){treeColumns.getColumnsInDepth(e);$().add($groupHeadersL[e]).add($groupHeadersR[e]).each((function(e){var o=$(this),t=0;o.width(0===e?getHeadersWidthL():getHeadersWidthR()),o.children().each((function(){var e=$(this),n=$(this).data(\"column\");n.width=0,n.columns.forEach((function(){var e=o.next().children(\":eq(\"+t+++\")\");n.width+=e.outerWidth()})),e.width(n.width-headerColumnWidthDiff)}))}))}}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),n=columns.length;o<n;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,n=0;n<columns.length;n++)e=columns[n].width,(o=getColumnCssRules(n)).left.style.left=t+\"px\",o.right.style.right=(-1!=options.frozenColumn&&n>options.frozenColumn?canvasWidthR:canvasWidthL)-t-e+\"px\",options.frozenColumn==n?t=0:t+=columns[n].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,n){null==n.sortAsc&&(n.sortAsc=!0);var l=getColumnIndex(n.columnId);null!=l&&(t.eq(l).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(n.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(l).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){var t=selectedRows.slice(0);selectedRows=[];for(var n={},l=0;l<o.length;l++)for(var r=o[l].fromRow;r<=o[l].toRow;r++){n[r]||(selectedRows.push(r),n[r]={});for(var i=o[l].fromCell;i<=o[l].toCell;i++)canCellBeSelected(r,i)&&(n[r][columns[i].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,n),simpleArrayEquals(t,selectedRows)||trigger(self.onSelectedRowsChanged,{rows:getSelectedRows(),previousSelectedRows:t},e)}function simpleArrayEquals(e,o){if(!Array.isArray(e)||!Array.isArray(o))return!0;const t=new Set(e),n=new Set(o);if(t.size!=n.size)return!1;for(const e of t)if(!n.has(e))return!1;return!0}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,options.frozenColumn==o?e=0:e+=columns[o].width}function updateColumnProps(){columnsById={};for(var e=0;e<columns.length;e++){columns[e].width&&(columns[e].widthRequest=columns[e].width);var o=columns[e]=$.extend({},columnDefaults,columns[e]);o.autoSize=$.extend({},columnAutosizeDefaults,o.autoSize),columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth),o.resizable}}function setColumns(e){var o=new Slick.TreeColumns(e);columns=o.hasDepth()?(treeColumns=o).extractColumns():e,updateColumnProps(),updateColumnCaches(),initialized&&(setPaneVisibility(),setOverflow(),invalidateAllRows(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),removeCssRules(),createCssRules(),resizeCanvas(),updateCanvasWidth(),applyColumnHeaderWidths(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){if(getEditorLock().commitCurrentEdit()){makeActiveCellNormal(),void 0!==e.showColumnHeader&&setColumnHeaderVisibility(e.showColumnHeader),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength());var t=$.extend(!0,{},options);options=$.extend(options,e),trigger(self.onSetOptions,{optionsBefore:t,optionsAfter:options}),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render(),setFrozenOptions(),setScroller(),zombieRowNodeFromLastMouseWheelEvent=null,setColumns(treeColumns.extractColumns())}}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1),options.forceFitColumns&&(options.autosizeColsMode=Slick.GridAutosizeColsMode.LegacyForceFit,console.log(\"forceFitColumns option is deprecated - use autosizeColsMode\"))}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data&&data.length||0}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e,o){var t=!1!==o;options.showTopPanel!=e&&(options.showTopPanel=e,e?t?$topPanelScroller.slideDown(\"fast\",resizeCanvas):($topPanelScroller.show(),resizeCanvas()):t?$topPanelScroller.slideUp(\"fast\",resizeCanvas):($topPanelScroller.hide(),resizeCanvas()))}function setHeaderRowVisibility(e,o){var t=!1!==o;options.showHeaderRow!=e&&(options.showHeaderRow=e,e?t?$headerRowScroller.slideDown(\"fast\",resizeCanvas):($headerRowScroller.show(),resizeCanvas()):t?$headerRowScroller.slideUp(\"fast\",resizeCanvas):($headerRowScroller.hide(),resizeCanvas()))}function setColumnHeaderVisibility(e,o){options.showColumnHeader!=e&&(options.showColumnHeader=e,e?o?$headerScroller.slideDown(\"fast\",resizeCanvas):($headerScroller.show(),resizeCanvas()):o?$headerScroller.slideUp(\"fast\",resizeCanvas):($headerScroller.hide(),resizeCanvas()))}function setFooterRowVisibility(e,o){var t=!1!==o;options.showFooterRow!=e&&(options.showFooterRow=e,e?t?$footerRowScroller.slideDown(\"fast\",resizeCanvas):($footerRowScroller.show(),resizeCanvas()):t?$footerRowScroller.slideUp(\"fast\",resizeCanvas):($footerRowScroller.hide(),resizeCanvas()))}function setPreHeaderPanelVisibility(e,o){var t=!1!==o;options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?t?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):($preHeaderPanelScroller.show(),resizeCanvas()):t?$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas):($preHeaderPanelScroller.hide(),resizeCanvas()))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-$viewportScrollContainerY.height()+(viewportHasHScroll||hasFrozenColumns()?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,lastRenderedScrollTop=scrollTop=prevScrollTop=t,hasFrozenColumns()&&($viewportTopL[0].scrollTop=t),hasFrozenRows&&($viewportBottomL[0].scrollTop=$viewportBottomR[0].scrollTop=t),$viewportScrollContainerY[0].scrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,n,l,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),n=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return n&&n.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function callFormatter(e,o,t,n,l,r){var i,a=data.getItemMetadata&&data.getItemMetadata(e);if(a=a&&a.columns){var s=a[n.id]||a[o];i=getFormatter(e,n)(e,o,t,n,l,s)}else i=getFormatter(e,n)(e,o,t,n,l);return i}function getEditor(e,o){var t=columns[o],n=data.getItemMetadata&&data.getItemMetadata(e),l=n&&n.columns;return l&&l[t.id]&&void 0!==l[t.id].editor?l[t.id].editor:l&&l[o]&&void 0!==l[o].editor?l[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,n,l){var r=getDataItem(t),i=t<l&&!r,a=\"slick-row\"+(hasFrozenRows&&t<=options.frozenRow?\" frozen\":\"\")+(i?\" loading\":\"\")+(t===activeRow&&options.showCellSelection?\" active\":\"\")+(t%2==1?\" odd\":\" even\");r||(a+=\" \"+options.addNewRowCssClass);var s=data.getItemMetadata&&data.getItemMetadata(t);s&&s.cssClasses&&(a+=\" \"+s.cssClasses);var d,c,u=getFrozenRowOffset(t),h=\"<div class='ui-widget-content \"+a+\"' style='top:\"+(getRowTop(t)-u)+\"px'>\";e.push(h),hasFrozenColumns()&&o.push(h);for(var p=0,m=columns.length;p<m;p++){if(c=columns[p],d=1,s&&s.columns){var w=s.columns[c.id]||s.columns[p];\"*\"===(d=w&&w.colspan||1)&&(d=m-p)}if(columnPosRight[Math.min(m-1,p+d-1)]>n.leftPx){if(!c.alwaysRenderColumn&&columnPosLeft[p]>n.rightPx)break;hasFrozenColumns()&&p>options.frozenColumn?appendCellHtml(o,t,p,d,r):appendCellHtml(e,t,p,d,r)}else(c.alwaysRenderColumn||hasFrozenColumns()&&p<=options.frozenColumn)&&appendCellHtml(e,t,p,d,r);d>1&&(p+=d-1)}e.push(\"</div>\"),hasFrozenColumns()&&o.push(\"</div>\")}function appendCellHtml(e,o,t,n,l){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+n-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var a in hasFrozenColumns()&&t<=options.frozenColumn&&(i+=\" frozen\"),o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[a][o]&&cellCssClasses[a][o][r.id]&&(i+=\" \"+cellCssClasses[a][o][r.id]);var s=null,d=\"\";l&&(s=getDataItemValueForColumn(l,r),null==(d=getFormatter(o,r)(o,t,s,r,l,self))&&(d=\"\"));var c=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:s,dataContext:l})||\"\";c+=d&&d.addClasses?(c?\" \":\"\")+d.addClasses:\"\";var u=d&&d.toolTip?\"title='\"+d.toolTip+\"'\":\"\",h=\"\";if(r.hasOwnProperty(\"cellAttrs\")&&r.cellAttrs instanceof Object)for(var a in r.cellAttrs)r.cellAttrs.hasOwnProperty(a)&&(h+=\" \"+a+'=\"'+r.cellAttrs[a]+'\" ');e.push(\"<div class='\"+i+(c?\" \"+c:\"\")+\"' \"+u+h+\">\"),l&&e.push(\"[object Object]\"!==Object.prototype.toString.call(d)?d:d.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=n}function cleanupRows(e){for(var o in rowsCache){var t=!0;hasFrozenRows&&(options.frozenBottom&&o>=actualFrozenRow||!options.frozenBottom&&o<=actualFrozenRow)&&(t=!1),(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&t&&removeRowFromCache(o)}options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var n in postProcessgroupId++,o)o.hasOwnProperty(n)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|n],columnIdx:0|n,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(rowNodeFromLastMouseWheelEvent==o.rowNode[0]||hasFrozenColumns()&&rowNodeFromLastMouseWheelEvent==o.rowNode[1]?(o.rowNode.hide(),zombieRowNodeFromLastMouseWheelEvent=o.rowNode):o.rowNode.each((function(){this.parentElement.removeChild(this)})),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses),e.toolTip&&$(o).attr(\"title\",e.toolTip)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var n=columns[o],l=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(l);else applyFormatResultToCellNode(l?getFormatter(e,n)(e,o,getDataItemValueForColumn(l,n),n,l,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var n in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=o.cellNodesByColumnIdx[n][0];e===activeRow&&n===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,l)(e,n,getDataItemValueForColumn(t,l),l,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){if(options.autoHeight&&-1==options.frozenColumn||(topPanelH=options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0,headerRowH=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,footerRowH=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0),options.autoHeight){var e=$paneHeaderL.outerHeight();e+=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,e+=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0,e+=getCanvasWidth()>viewportW?scrollbarDimensions.height:0,viewportH=options.rowHeight*getDataLengthIncludingAddNew()+(-1==options.frozenColumn?e:0)}else{var o=options.showColumnHeader?parseFloat($.css($headerScroller[0],\"height\"))+getVBoxDelta($headerScroller):0,t=options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0;viewportH=parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-o-topPanelH-headerRowH-footerRowH-t}return numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportH}function getViewportWidth(){viewportW=parseFloat($container.width())}function resizeCanvas(){if(initialized){paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,getViewportWidth(),getViewportHeight(),hasFrozenRows?options.frozenBottom?(paneTopH=viewportH-frozenRowsHeight-scrollbarDimensions.height,paneBottomH=frozenRowsHeight+scrollbarDimensions.height):(paneTopH=frozenRowsHeight,paneBottomH=viewportH-frozenRowsHeight):paneTopH=viewportH,paneTopH+=topPanelH+headerRowH+footerRowH,hasFrozenColumns()&&options.autoHeight&&(paneTopH+=scrollbarDimensions.height),viewportTopH=paneTopH-topPanelH-headerRowH-footerRowH,options.autoHeight&&(hasFrozenColumns()&&$container.height(paneTopH+parseFloat($.css($headerScrollerL[0],\"height\"))),$paneTopL.css(\"position\",\"relative\")),$paneTopL.css({top:$paneHeaderL.height(),height:paneTopH});var e=$paneTopL.position().top+paneTopH;options.autoHeight||$viewportTopL.height(viewportTopH),hasFrozenColumns()?($paneTopR.css({top:$paneHeaderL.height(),height:paneTopH}),$viewportTopR.height(viewportTopH),hasFrozenRows&&($paneBottomL.css({top:e,height:paneBottomH}),$paneBottomR.css({top:e,height:paneBottomH}),$viewportBottomR.height(paneBottomH))):hasFrozenRows&&($paneBottomL.css({width:\"100%\",height:paneBottomH}),$paneBottomL.css(\"top\",e)),hasFrozenRows?($viewportBottomL.height(paneBottomH),options.frozenBottom?($canvasBottomL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasBottomR.height(frozenRowsHeight)):($canvasTopL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasTopR.height(frozenRowsHeight))):$viewportTopR.height(viewportTopH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render()}}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew(),t=0,l=hasFrozenRows&&!options.frozenBottom?$canvasBottomL.height():$canvasTopL.height();if(hasFrozenRows)t=getDataLength()-options.frozenRow;else t=o+(options.leaveSpaceForNewRows?numVisibleRows-1:0);var r=$viewportScrollContainerY.height(),i=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&t*options.rowHeight>r,makeActiveCellNormal();var a=e-1;for(var s in rowsCache)s>a&&removeRowFromCache(s);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>a&&resetActiveCell();l=h;options.autoHeight?h=options.rowHeight*t:(th=Math.max(options.rowHeight*t,r-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==l&&(hasFrozenRows&&!options.frozenBottom?($canvasBottomL.css(\"height\",h),hasFrozenColumns()&&$canvasBottomR.css(\"height\",h)):($canvasTopL.css(\"height\",h),$canvasTopR.css(\"height\",h)),scrollTop=$viewportScrollContainerY[0].scrollTop);var d=scrollTop+offset<=th-r;0==th||0==scrollTop?page=offset=0:scrollTo(d?scrollTop+offset:th-r),h!=l&&options.autoHeight&&resizeCanvas(),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&i!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),n=Math.round(viewportH/options.rowHeight),l=options.minRowBuffer;return-1==vScrollDir?(t.top-=n,t.bottom+=l):1==vScrollDir?(t.top-=l,t.bottom+=n):(t.top-=l,t.bottom+=l),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.children().last();o.cellRenderQueue.length;){var n=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[n]=t,0===(t=t.prev()).length&&(t=$(o.rowNode[0]).children().last())}}function cleanUpCells(e,o){if(!hasFrozenRows||!(options.frozenBottom&&o>actualFrozenRow||o<=actualFrozenRow)){var t,n=rowsCache[o],l=[];for(var r in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(r)&&!((r|=0)<=options.frozenColumn||Array.isArray(columns)&&columns[r]&&columns[r].alwaysRenderColumn)){var i=n.cellColSpans[r];(columnPosLeft[r]>e.rightPx||columnPosRight[Math.min(columns.length-1,r+i-1)]<e.leftPx)&&(o==activeRow&&r==activeCell||l.push(r))}for(;null!=(t=l.pop());)n.cellNodesByColumnIdx[t][0].parentElement.removeChild(n.cellNodesByColumnIdx[t][0]),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}}function cleanUpAndRenderCells(e){for(var o,t,n,l=[],r=[],i=e.top,a=e.bottom;i<=a;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var s=data.getItemMetadata&&data.getItemMetadata(i);s=s&&s.columns;for(var d=getDataItem(i),c=0,u=columns.length;c<u&&!(columnPosLeft[c]>e.rightPx);c++)if(null==(n=o.cellColSpans[c])){if(n=1,s){var h=s[columns[c].id]||s[c];\"*\"===(n=h&&h.colspan||1)&&(n=u-c)}columnPosRight[Math.min(u-1,c+n-1)]>e.leftPx&&(appendCellHtml(l,i,c,n,d),t++),c+=n>1?n-1:0}else c+=n>1?n-1:0;t&&(t,r.push(i))}if(l.length){var p,m,w=document.createElement(\"div\");for(w.innerHTML=l.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)m=w.lastChild,hasFrozenColumns()&&v>options.frozenColumn?o.rowNode[1].appendChild(m):o.rowNode[0].appendChild(m),o.cellNodesByColumnIdx[v]=$(m)}}}function renderRows(e){for(var o=[],t=[],n=[],l=!1,r=getDataLength(),i=e.top,a=e.bottom;i<=a;i++)rowsCache[i]||hasFrozenRows&&options.frozenBottom&&i==getDataLength()||(renderedRows++,n.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(o,t,i,e,r),activeCellNode&&activeRow===i&&(l=!0),counter_rows_rendered++);if(n.length){var s=document.createElement(\"div\"),d=document.createElement(\"div\");s.innerHTML=o.join(\"\"),d.innerHTML=t.join(\"\");for(i=0,a=n.length;i<a;i++)hasFrozenRows&&n[i]>=actualFrozenRow?hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)).add($(d.firstChild).appendTo($canvasBottomR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)):hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL)).add($(d.firstChild).appendTo($canvasTopR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL));l&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache){var o=e?parseInt(e):0;rowsCache[o].rowNode[0].style.top=getRowTop(o)+\"px\"}}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();if(cleanupRows(o),lastRenderedScrollLeft!=scrollLeft){if(hasFrozenRows){var t=$.extend(!0,{},o);options.frozenBottom?(t.top=actualFrozenRow,t.bottom=getDataLength()):(t.top=0,t.bottom=options.frozenRow),cleanUpAndRenderCells(t)}cleanUpAndRenderCells(o)}renderRows(o),hasFrozenRows&&(options.frozenBottom?renderRows({top:actualFrozenRow,bottom:getDataLength()-1,leftPx:o.leftPx,rightPx:o.rightPx}):renderRows({top:0,bottom:options.frozenRow-1,leftPx:o.leftPx,rightPx:o.rightPx})),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScrollContainer[0])}function handleHeaderRowScroll(){var e=$headerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handleFooterRowScroll(){var e=$footerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=o)}function handleScroll(){return scrollTop=$viewportScrollContainerY[0].scrollTop,scrollLeft=$viewportScrollContainerX[0].scrollLeft,_handleScroll(!1)}function _handleScroll(e){var o=$viewportScrollContainerY[0].scrollHeight-$viewportScrollContainerY[0].clientHeight,t=$viewportScrollContainerY[0].scrollWidth-$viewportScrollContainerY[0].clientWidth;o=Math.max(0,o),t=Math.max(0,t),scrollTop>o&&(scrollTop=o),scrollLeft>t&&(scrollLeft=t);var l=Math.abs(scrollTop-prevScrollTop),r=Math.abs(scrollLeft-prevScrollLeft);if(r&&(prevScrollLeft=scrollLeft,$viewportScrollContainerX[0].scrollLeft=scrollLeft,$headerScrollContainer[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScrollContainer[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScrollContainer[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&(hasFrozenColumns()?$preHeaderPanelScrollerR[0].scrollLeft=scrollLeft:$preHeaderPanelScroller[0].scrollLeft=scrollLeft),hasFrozenColumns()?hasFrozenRows&&($viewportTopR[0].scrollLeft=scrollLeft):hasFrozenRows&&($viewportTopL[0].scrollLeft=scrollLeft)),l)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e&&($viewportScrollContainerY[0].scrollTop=scrollTop),hasFrozenColumns()&&(hasFrozenRows&&!options.frozenBottom?$viewportBottomL[0].scrollTop=scrollTop:$viewportTopL[0].scrollTop=scrollTop),l<viewportH)scrollTo(scrollTop+offset);else{var i=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),i!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(r||l){var a=Math.abs(lastRenderedScrollLeft-scrollLeft),s=Math.abs(lastRenderedScrollTop-scrollTop);(a>20||s>20)&&(options.forceSyncScrolling||s<viewportH&&a<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}return trigger(self.onScroll,{scrollLeft,scrollTop}),!(!r&&!l)}function ActionThrottle(e,o){var t=!1,n=!1;function l(){n=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){n?(l(),r()):t=!1}return{enqueue:function(){t?n=!0:r()},dequeue:l}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var n in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=postProcessedRows[o][n];if(l.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[n];i&&l.asyncPostRender(i,o,getDataItem(o),l,\"C\"===r),postProcessedRows[o][n]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,n,l,r;for(var i in rowsCache){if(r=o&&o[i],l=e&&e[i],r)for(n in r)l&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).removeClass(r[n]);if(l)for(n in l)r&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).addClass(l[n])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){(t=t||100,rowsCache[e])&&function e(o,n){n&&setTimeout((function(){o.queue((function(){o.toggleClass(options.cellFlashingCssClass).dequeue(),e(o,n-1)}))}),t)}($(getCellNode(e,o)),4)}function handleMouseWheel(e,o,t,n){var l=$(e.target).closest(\".slick-row\"),r=l[0];if(r!=rowNodeFromLastMouseWheelEvent){var i=l.parents(\".grid-canvas\").hasClass(\"grid-canvas-left\");if(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent[i?0:1]!=r){var a=zombieRowNodeFromLastMouseWheelEvent[i||1==zombieRowNodeFromLastMouseWheelEvent.length?0:1];a.parentElement.removeChild(a),zombieRowNodeFromLastMouseWheelEvent=null}rowNodeFromLastMouseWheelEvent=r}scrollTop=Math.max(0,$viewportScrollContainerY[0].scrollTop-n*options.rowHeight),scrollLeft=$viewportScrollContainerX[0].scrollLeft+10*t,_handleScroll(!0)&&e.preventDefault()}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,n=columns[o.cell],l=!!(options.editable&&n&&n.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,l,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleFooterContextMenu(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterContextMenu,{column:t},e)}function handleFooterClick(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterClick,{column:t},e)}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),n=0,l=0,r=0;r<columns.length&&l<e;r++)l+=columns[r].width,n++;return n<0&&(n=0),{row:t,cell:n-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)for(var t in rowsCache[o].rowNode)if(rowsCache[o].rowNode[t]===e)return o?parseInt(o):0;return null}function getFrozenRowOffset(e){return hasFrozenRows?options.frozenBottom?e>=actualFrozenRow?h<viewportTopH?actualFrozenRow*options.rowHeight:h:0:e>=actualFrozenRow?frozenRowsHeight:0:0}function getCellFromEvent(e){var o,t,n=$(e.target).closest(\".slick-cell\",$canvas);if(!n.length)return null;if(o=getRowFromNode(n[0].parentNode),hasFrozenRows){var l=n.parents(\".grid-canvas\").offset(),r=0;n.parents(\".grid-canvas-bottom\").length&&(r=options.frozenBottom?$canvasTopL.height():frozenRowsHeight),o=getCellFromPoint(e.clientX-l.left,e.clientY-l.top+r+$(document).scrollTop()).row}return t=getCellFromNode(n[0]),null==o||null==t?null:{row:o,cell:t}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getFrozenRowOffset(e),n=getRowTop(e)-t,l=n+options.rowHeight-1,r=0,i=0;i<o;i++)r+=columns[i].width,options.frozenColumn==i&&(r=0);return{top:n,left:r,bottom:l,right:r+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){if(scrollRowIntoView(e,t),!(o<=options.frozenColumn)){var n=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(n>1?n-1:0)])}}function internalScrollColumnIntoView(e,o){var t=scrollLeft+$viewportScrollContainerX.width();e<scrollLeft?($viewportScrollContainerX.scrollLeft(e),handleScroll(),render()):o>t&&($viewportScrollContainerX.scrollLeft(Math.min(e,o-$viewportScrollContainerX[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,n,l){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));if(null!=(activeCellNode=e)){var r=$(activeCellNode),i=r.offset(),a=Math.floor(r.parents(\".grid-canvas\").offset().top),s=r.parents(\".grid-canvas-bottom\").length;hasFrozenRows&&s&&(a-=options.frozenBottom?$canvasTopL.height():frozenRowsHeight);var d=getCellFromPoint(i.left,Math.ceil(i.top)-a);activeRow=d.row,activeCell=activePosX=activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&(r.addClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,l)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,l))}else activeRow=activeCell=null;n||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var n=columns[activeCell],l=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:l,column:n})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\");var i=data.getItemMetadata&&data.getItemMetadata(activeRow),a=(i=i&&i.columns)&&(i[n.id]||i[activeCell]);currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:n,columnMetaData:a,item:l||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),l&&(currentEditor.loadValue(l),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){if(!hasFrozenRows||!options.frozenBottom&&e>actualFrozenRow-1||options.frozenBottom&&e<actualFrozenRow-1){var t=$viewportScrollContainerY.height(),n=hasFrozenRows&&!options.frozenBottom?e-options.frozenRow:e,l=n*options.rowHeight,r=(n+1)*options.rowHeight-t+(viewportHasHScroll?scrollbarDimensions.height:0);(n+1)*options.rowHeight>scrollTop+t+offset?(scrollTo(o?l:r),render()):n*options.rowHeight<scrollTop+offset&&(scrollTo(o?r:l),render())}}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop+options.rowHeight-1)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,n=getDataLengthIncludingAddNew();t>=n&&(t=n-1),t<0&&(t=0);for(var l=0,r=null,i=activePosX;l<=activePosX;)canCellBeActive(t,l)&&(r=l),l+=getColspan(t,l);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,n=null,l=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(n=t),t+=getColspan(e,t);null!==n?(setActiveCellInternal(getCellNode(e,n)),activePosX=l):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var n=t.columns[columns[o].id]||t.columns[o],l=n&&n.colspan;return l=\"*\"===l?columns.length-o:l||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var n=findFirstFocusableCell(e);if(null===n||n>=o)return null;for(var l,r={row:e,cell:n,posX:n};;){if(!(l=gotoRight(r.row,r.cell,r.posX)))return null;if(l.cell>=o)return r;r=l}}function gotoDown(e,o,t){for(var n,l=getDataLengthIncludingAddNew();;){if(++e>=l)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoUp(e,o,t){for(var n;;){if(--e<0)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var n=gotoRight(e,o,t);if(n)return n;var l=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(l=findFirstFocusableCell(e)))return{row:e,cell:l,posX:l};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var n,l;!n&&!(n=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(l=findLastFocusableCell(e))&&(n={row:e,cell:l,posX:l})}return n}function gotoRowStart(e,o,t){var n=findFirstFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function gotoRowEnd(e,o,t){var n=findLastFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){if(hasFrozenRows&&options.frozenBottom&o.row==getDataLength())return;var t=o.row==getDataLength();return(!options.frozenBottom&&o.row>=actualFrozenRow||options.frozenBottom&&o.row<actualFrozenRow)&&scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){if(rowsCache[e]){ensureCellNodesInRowsCache(e);try{return rowsCache[e].cellNodesByColumnIdx.length>o?rowsCache[e].cellNodesByColumnIdx[o][0]:null}catch(t){return rowsCache[e].cellNodesByColumnIdx[o]}}return null}function setActiveCell(e,o,t,n,l){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,n,l)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var n=t&&t.columns;return n&&n[columns[o].id]&&void 0!==n[columns[o].id].focusable?!!n[columns[o].id].focusable:n&&n[o]&&void 0!==n[o].focusable?!!n[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var n=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return n&&void 0!==n.selectable?!!n.selectable:!!columns[o].selectable}function gotoCell(e,o,t,n){if(initialized&&canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()){scrollCellIntoView(e,o,!1);var l=getCellNode(e,o),r=columns[o],i=!!(options.editable&&r&&r.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(l,t||e===getDataLength()||options.autoEdit,null,i,n),currentEditor||setFocus()}}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var n={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,n)):(n.execute(),makeActiveCellNormal())}else{var l={};currentEditor.applyValue(l,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:l,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,n=0;n<e.length;n++)o.push(new Slick.Range(e[n],0,e[n],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows.slice(0)}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.4.27\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onFooterContextMenu:new Slick.Event,onFooterClick:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsDrag:new Slick.Event,onColumnsResized:new Slick.Event,onBeforeColumnsResize:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,onSetOptions:new Slick.Event,registerPlugin,unregisterPlugin,getPluginByName,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,autosizeColumn,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,applyFormatResultToCellNode,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,getCanvases,getActiveCanvasNode,setActiveCanvasNode,getViewportNode,getActiveViewportNode,setActiveViewportNode,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,getPreHeaderPanelLeft:getPreHeaderPanel,getPreHeaderPanelRight,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,getFrozenRowOffset,setColumnHeaderVisibility,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      505: function _(t,e,a,n,r){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var o=t(498);o.fn.drag=function(t,e,a){var n=\"string\"==typeof t?t:\"\",r=o.isFunction(t)?t:o.isFunction(e)?e:null;return 0!==n.indexOf(\"drag\")&&(n=\"drag\"+n),a=(t==r?e:a)||{},r?this.on(n,a,r):this.trigger(n)};var i=o.event,d=i.special,s=d.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=o.data(this,s.datakey),a=t.data||{};e.related+=1,o.each(s.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){o.data(this,s.datakey).related-=1},setup:function(){if(!o.data(this,s.datakey)){var t=o.extend({related:0},s.defaults);o.data(this,s.datakey,t),i.add(this,\"touchstart mousedown\",s.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",s.dontstart)}},teardown:function(){(o.data(this,s.datakey)||{}).related||(o.removeData(this,s.datakey),i.remove(this,\"touchstart mousedown\",s.init),s.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",s.dontstart))},init:function(t){if(!s.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)){var n=o(t.target).attr(\"class\")||\"\";if(!o(t.target).is(a.not)&&n&&-1!==n.toString().indexOf(\"slick\")&&(!a.handle||o(t.target).closest(a.handle,t.currentTarget).length)&&(s.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[s.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=s.hijack(t,\"draginit\",a),a.propagates))return(e=s.flatten(e))&&e.length&&(a.interactions=[],o.each(e,(function(){a.interactions.push(s.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&d.drop&&d.drop.handler(t,a),s.textselect(!1),s.touched?i.add(s.touched,\"touchmove touchend\",s.handler,a):i.add(document,\"mousemove mouseup\",s.handler,a),!(!s.touched||a.live)&&void 0}}},interaction:function(t,e){var a=t&&t.ownerDocument&&o(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new s.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,s.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(s.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&d.drop&&d.drop.handler(t,e);break}t.type=\"mouseup\"}default:s.touched?i.remove(s.touched,\"touchmove touchend\",s.handler):i.remove(document,\"mousemove mouseup\",s.handler),e.dragging&&(!1!==e.drop&&d.drop&&d.drop.handler(t,e),s.hijack(t,\"dragend\",e)),s.textselect(!0),!1===e.click&&e.dragging&&o.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=s.touched=!1}},hijack:function(t,e,a,n,r){if(a){var d,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=n||0,h=isNaN(n)?a.interactions.length:n;t.type=e;var f=function(){};t.originalEvent=new o.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=s.properties(t,a,c),c.results=[],o(r||c[u]||a.droppable).each((function(n,r){if(l.target=r,t.isPropagationStopped=function(){return!1},!1===(d=r?i.dispatch.call(r,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][n]=null)):\"dropinit\"==e&&c.droppable.push(s.element(d)||r),\"dragstart\"==e&&(c.proxy=o(s.element(d)||c.drag)[0]),c.results.push(d),delete t.result,\"dropinit\"!==e)return d})),a.results[g]=s.flatten(c.results),\"dropinit\"==e&&(c.droppable=s.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,s.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=s.flatten((a.drop||[]).slice()),n.available=s.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return o.map(t,(function(t){return t&&t.jquery?o.makeArray(t):t&&t.length?s.flatten(t):t}))},textselect:function(t){o(document)[t?\"off\":\"on\"](\"selectstart\",s.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};s.callback.prototype={update:function(){d.drop&&this.available.length&&o.each(this.available,(function(t){d.drop.locate(this,t)}))}};var c=i.dispatch;i.dispatch=function(t){if(!(o.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return c.apply(this,arguments);o.removeData(this,\"suppress.\"+t.type)},d.draginit=d.dragstart=d.dragend=s},\n      506: function _(t,e,a,n,i){\n      /*!\n           * jquery.event.drop - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var o=t(498);o.fn.drop=function(t,e,a){var n=\"string\"==typeof t?t:\"\",i=o.isFunction(t)?t:o.isFunction(e)?e:null;return 0!==n.indexOf(\"drop\")&&(n=\"drop\"+n),a=(t==i?e:a)||{},i?this.on(n,a,i):this.trigger(n)},o.drop=function(t){t=t||{},d.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?d.multi:t.multi,d.delay=t.delay||d.delay,d.tolerance=o.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:d.tolerance,d.mode=t.mode||d.mode||\"intersect\"};var r=o.event.special,d=o.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){o.data(this,d.datakey).related+=1},remove:function(){o.data(this,d.datakey).related-=1},setup:function(){if(!o.data(this,d.datakey)){o.data(this,d.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),d.targets.push(this)}},teardown:function(){if(!(o.data(this,d.datakey)||{}).related){o.removeData(this,d.datakey);var t=this;d.targets=o.grep(d.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=o(d.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=o.data(this,d.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,r.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":d.event=t,d.timer||d.tolerate(e);break;case\"mouseup\":case\"touchend\":d.timer=clearTimeout(d.timer),e.propagates&&(r.drag.hijack(t,\"drop\",e),r.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=o.data(t,d.datakey),n=o(t),i=n.length&&!n.is(document)?n.offset():{},r=n.outerHeight(),l=n.outerWidth(),c={elem:t,width:l,height:r,top:i.top,left:i.left,right:i.left+l,bottom:i.top+r};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return 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n=o.mapIdsToRows(a);t||s(o.mapRowsToIds(n)),e.setSelectedRows(n),r=!1}})),u},syncGridCellCssStyles:function(e,t){var n,r;function o(e){for(var t in n={},e){var r=c[t][s];n[r]=e[t]}}function i(){if(n){r=!0,q();var o={};for(var i in n){var l=h[i];null!=l&&(o[l]=n[i])}e.setCellCssStyles(t,o),r=!1}}o(e.getCellCssStyles(t)),e.onCellCssStylesChanged.subscribe((function(n,l){r||t==l.key&&(l.hash?o(l.hash):(e.onCellCssStylesChanged.unsubscribe(),u.onRowsOrCountChanged.unsubscribe(i)))})),this.onRowsOrCountChanged.subscribe(i)},getLength:function(){return c.length},getItem:function(e){var t=c[e];if(t&&t.__group&&t.totals&&!t.totals.initialized){var n=I[t.level];n.displayTotalsRow||(Y(t.totals),t.title=n.formatter?n.formatter(t):t.value)}else t&&t.__groupTotals&&!t.initialized&&Y(t);return t},getItemMetadata:function(t){var n=c[t];return void 0===n?null:n.__group?e.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?e.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onSetItemsCalled:F,onRowCountChanged:A,onRowsChanged:N,onRowsOrCountChanged:G,onBeforePagingInfoChanged:T,onPagingInfoChanged:O,onGroupExpanded:P,onGroupCollapsed:D})},Aggregators:a,Data:{Aggregators:a}}},\n      508: function _(e,t,i,n,o){var l=e(498),a=e(500);function s(e){var t,i;function n(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=s.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(o){i=o[e.column.field];var l=n();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());s.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=n();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function u(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===a.keyCode.LEFT&&t>0||e.keyCode===a.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function c(e){e.keyCode!==a.keyCode.LEFT&&e.keyCode!==a.keyCode.RIGHT||e.stopImmediatePropagation()}s.DefaultDecimalPlaces=null,s.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:s,Date:function(e){var t,i,n=!1;this.init=function(){(t=l(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){n=!0},onClose:function(){n=!1}}),t.width(t.width()-18)},this.destroy=function(){l.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){n&&l.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){n&&l.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){n&&l.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=l(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=l(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,n;this.init=function(){(t=l(\"<INPUT type=text class='editor-percentcomplete' />\")).width(l(e.container).innerWidth()-25),t.appendTo(e.container),(i=l(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:n,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(l(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",l(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&(parseInt(t.val(),10)||0)!=n},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,n,o=this;this.init=function(){var n=l(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=l(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(n),t=l(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),l(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),o.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==a.keyCode.ENTER&&t.ctrlKey)o.save();else if(t.which==a.keyCode.ESCAPE)t.preventDefault(),o.cancel();else if(t.which==a.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==a.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==a.keyCode.LEFT||t.which==a.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,n=this.value.length;t.keyCode===a.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===a.keyCode.RIGHT&&i>=n-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(n),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&t.val()!=n},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      509: function _(e,n,r,t,c){e(500);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      510: function _(t,o,r,e,n){var a=t(498),l=t(500);o.exports={RemoteModel:function(){var t=50,o={length:0},r=\"\",e=null,n=1,i=null,s=null,u=new l.Event,f=new l.Event;function c(){for(var t in o)delete o[t];o.length=0}function h(l,c){if(s){s.abort();for(var h=s.fromPage;h<=s.toPage;h++)o[h*t]=void 0}l<0&&(l=0),o.length>0&&(c=Math.min(c,o.length-1));for(var v=Math.floor(l/t),m=Math.floor(c/t);void 0!==o[v*t]&&v<m;)v++;for(;void 0!==o[m*t]&&v<m;)m--;if(v>m||v==m&&void 0!==o[v*t])f.notify({from:l,to:c});else{var g=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+r+\"&start=\"+v*t+\"&limit=\"+((m-v)*t+t);null!=e&&(g+=\"&sortby=\"+e+(n>0?\"+asc\":\"+desc\")),null!=i&&clearTimeout(i),i=setTimeout((function(){for(var r=v;r<=m;r++)o[r*t]=null;u.notify({from:l,to:c}),s=a.jsonp({url:g,callbackParameter:\"callback\",cache:!0,success:d,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(v,m)}}),s.fromPage=v,s.toPage=m}),50)}}function d(t){var r=t.request.start,e=r+t.results.length;o.length=Math.min(parseInt(t.hits),1e3);for(var n=0;n<t.results.length;n++){var a=t.results[n].item;o[r+n]=a,o[r+n].index=r+n}s=null,f.notify({from:r,to:e})}return{data:o,clear:c,isDataLoaded:function(t,r){for(var e=t;e<=r;e++)if(null==o[e]||null==o[e])return!1;return!0},ensureData:h,reloadData:function(t,r){for(var e=t;e<=r;e++)delete o[e];h(t,r)},setSort:function(t,o){e=t,n=o,c()},setSearch:function(t){r=t,c()},onDataLoading:u,onDataLoaded:f}}}},\n      511: function _(e,s,t,o,l){var a=e(498),r=e(500);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(e,s,t,l,a,r){if(!o.enableExpandCollapse)return a.title;var c=15*a.level+\"px\";return(o.checkboxSelect?'<span class=\"'+o.checkboxSelectCssClass+\" \"+(a.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+o.toggleCssClass+\" \"+(a.collapsed?o.toggleCollapsedCssClass:o.toggleExpandedCssClass)+\"' style='margin-left:\"+c+\"'></span><span class='\"+o.groupTitleCssClass+\"' level='\"+a.level+\"'>\"+a.title+\"</span>\"},totalsFormatter:function(e,s,t,o,l,a){return o.groupTotalsFormatter&&o.groupTotalsFormatter(l,o,a)||\"\"},includeHeaderTotals:!1},o=a.extend(!0,{},t,e);function l(e,t){var l=a(e.target),c=this.getDataItem(t.row);if(c&&c instanceof r.Group&&l.hasClass(o.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}if(c&&c instanceof r.Group&&l.hasClass(o.checkboxSelectCssClass)){c.selectChecked=!c.selectChecked,l.removeClass(c.selectChecked?\"unchecked\":\"checked\"),l.addClass(c.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(c.rows);(c.selectChecked?o.checkboxSelectPlugin.selectRows:o.checkboxSelectPlugin.deSelectRows)(i)}}function c(e,t){if(o.enableExpandCollapse&&e.which==r.keyCode.SPACE){var l=this.getActiveCell();if(l){var a=this.getDataItem(l.row);if(a&&a instanceof r.Group){var c=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:c.top,ignoreDiffsAfter:c.bottom+1}),a.collapsed?this.getData().expandGroup(a.groupingKey):this.getData().collapseGroup(a.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}}}}return{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(e){var s=e&&e.level;return{selectable:!1,focusable:o.groupFocusable,cssClasses:o.groupCssClass+\" slick-group-level-\"+s,formatter:o.includeHeaderTotals&&o.totalsFormatter,columns:{0:{colspan:o.includeHeaderTotals?\"1\":\"*\",formatter:o.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(e){var s=e&&e.group&&e.group.level;return{selectable:!1,focusable:o.totalsFocusable,cssClasses:o.totalsCssClass+\" slick-group-level-\"+s,formatter:o.totalsFormatter,editor:null}},getOptions:function(){return o},setOptions:function(e){a.extend(!0,o,e)}}}}},\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      513: function _(e,i,t,s,n){var u;s();const c=e(512),o=e(75),a=e(190);class r extends c.Widget{constructor(e){super(e)}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=r,u=r,r.__name__=\"TableWidget\",u.define((({Ref:e})=>({source:[e(o.ColumnDataSource),()=>new o.ColumnDataSource],view:[e(a.CDSView),()=>new a.CDSView]})))},\n      514: function _(t,e,i,r,o){var l;r();const d=t(493),n=t(490),a=t(34),s=t(20),u=t(53);class f extends u.Model{constructor(t){super(t)}toColumn(){var t;return{id:(0,a.uniqueId)(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=f,l=f,f.__name__=\"TableColumn\",l.define((({Boolean:t,Number:e,String:i,Nullable:r,Ref:o})=>({field:[i],title:[r(i),null],width:[e,300],formatter:[o(d.StringFormatter),()=>new d.StringFormatter],editor:[o(n.StringEditor),()=>new n.StringEditor],sortable:[t,!0],default_sort:[s.Sort,\"ascending\"],visible:[t,!0]})))},\n      515: function _(A,o,e,r,i){r(),e.root=\"bk-root\",e.default='.bk-root{}.bk-root .slick-header.ui-state-default,.bk-root .slick-headerrow.ui-state-default,.bk-root .slick-footerrow.ui-state-default,.bk-root .slick-top-panel-scroller.ui-state-default,.bk-root .slick-group-header.ui-state-default{width:100%;overflow:auto;position:relative;border-left:0px !important;}.bk-root .slick-header.ui-state-default{overflow:inherit;}.bk-root .slick-header::-webkit-scrollbar,.bk-root .slick-headerrow::-webkit-scrollbar,.bk-root .slick-footerrow::-webkit-scrollbar{display:none;}.bk-root .slick-header-columns,.bk-root .slick-headerrow-columns,.bk-root .slick-footerrow-columns,.bk-root .slick-group-header-columns{position:relative;white-space:nowrap;cursor:default;overflow:hidden;}.bk-root .slick-header-column.ui-state-default,.bk-root .slick-group-header-column.ui-state-default{position:relative;display:inline-block;box-sizing:content-box !important;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;height:16px;line-height:16px;margin:0;padding:4px;border-right:1px solid silver;border-left:0px !important;border-top:0px !important;border-bottom:0px !important;float:left;}.bk-root .slick-footerrow-column.ui-state-default{-o-text-overflow:ellipsis;text-overflow:ellipsis;margin:0;padding:4px;border-right:1px solid silver;border-left:0px;border-top:0px;border-bottom:0px;float:left;line-height:20px;vertical-align:middle;}.bk-root .slick-headerrow-column.ui-state-default,.bk-root .slick-footerrow-column.ui-state-default{padding:4px;}.bk-root .slick-header-column-sorted{font-style:italic;}.bk-root .slick-sort-indicator{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:6px;float:left;}.bk-root .slick-sort-indicator-numbered{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:0;line-height:20px;float:left;font-family:Arial;font-style:normal;font-weight:bold;color:#6190CD;}.bk-root .slick-sort-indicator-desc{background:url(images/sort-desc.gif);}.bk-root .slick-sort-indicator-asc{background:url(images/sort-asc.gif);}.bk-root .slick-resizable-handle{position:absolute;font-size:0.1px;display:block;cursor:col-resize;width:9px;right:-5px;top:0;height:100%;z-index:1;}.bk-root .slick-sortable-placeholder{background:silver;}.bk-root .grid-canvas{position:relative;outline:0;}.bk-root .slick-row.ui-widget-content,.bk-root .slick-row.ui-state-active{position:absolute;border:0px;width:100%;}.bk-root .slick-cell,.bk-root .slick-headerrow-column,.bk-root .slick-footerrow-column{position:absolute;border:1px solid transparent;border-right:1px dotted silver;border-bottom-color:silver;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;vertical-align:middle;z-index:1;padding:1px 2px 2px 1px;margin:0;white-space:nowrap;cursor:default;}.bk-root .slick-cell,.bk-root .slick-headerrow-column{border-bottom-color:silver;}.bk-root .slick-footerrow-column{border-top-color:silver;}.bk-root .slick-group-toggle{display:inline-block;}.bk-root .slick-cell.highlighted{background:lightskyblue;background:rgba(0, 0, 255, 0.2);-webkit-transition:all 0.5s;-moz-transition:all 0.5s;-o-transition:all 0.5s;transition:all 0.5s;}.bk-root .slick-cell.flashing{border:1px solid red !important;}.bk-root .slick-cell.editable{z-index:11;overflow:visible;background:white;border-color:black;border-style:solid;}.bk-root .slick-cell:focus{outline:none;}.bk-root .slick-reorder-proxy{display:inline-block;background:blue;opacity:0.15;cursor:move;}.bk-root .slick-reorder-guide{display:inline-block;height:2px;background:blue;opacity:0.7;}.bk-root .slick-selection{z-index:10;position:absolute;border:2px dashed black;}.bk-root .slick-pane{position:absolute;outline:0;overflow:hidden;width:100%;}.bk-root .slick-pane-header{display:block;}.bk-root .slick-header{overflow:hidden;position:relative;}.bk-root .slick-headerrow{overflow:hidden;position:relative;}.bk-root .slick-top-panel-scroller{overflow:hidden;position:relative;}.bk-root .slick-top-panel{width:10000px;}.bk-root 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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 ? 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e.getProperty(\"color\")&&(r.mathcolor=e.getProperty(\"color\")),this.Push(this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.CLOSE}),this.create(\"token\",\"mo\",r,e.getProperty(\"delim\")),this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.OPEN})),this.env={},[[this],!0]}return t.prototype.checkItem.call(this,e)},e.errors=Object.assign(Object.create(y.BaseItem.errors),{stop:[\"ExtraLeftMissingRight\",\"Extra \\\\left or missing \\\\right\"]}),e}(y.BaseItem);r.LeftItem=O;var k=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"middle\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.Middle=k;var j=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"right\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.RightItem=j;var E=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"begin\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"end\")){if(e.getName()!==this.getName())throw new f.default(\"EnvBadEnd\",\"\\\\begin{%1} ended with \\\\end{%2}\",this.getName(),e.getName());return this.getProperty(\"end\")?y.BaseItem.fail:[[this.factory.create(\"mml\",this.toMml())],!0]}if(e.isKind(\"stop\"))throw new f.default(\"EnvMissingEnd\",\"Missing 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n=e.First;if(!e.isKind(\"mml\")||!n)return[[r,e],!0];if(d.default.isType(n,\"mstyle\")&&n.childNodes.length&&d.default.isType(n.childNodes[0].childNodes[0],\"mspace\")||d.default.isType(n,\"mspace\"))return[[r,e],!0];d.default.isEmbellished(n)&&(n=d.default.getCoreMO(n));var i=d.default.getForm(n);if(null!=i&&[0,0,1,1,0,1,1,0,0,0][i[2]])return[[r,e],!0]}var o=this.create(\"token\",\"mo\",{texClass:p.TEXCLASS.NONE},c.entities.ApplyFunction);return[[r,o,e],!0]}return t.prototype.checkItem.apply(this,arguments)},e}(y.BaseItem);r.FnItem=A;var S=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.remap=l.MapHandler.getMap(\"not_remap\"),e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"not\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){var e,r,n;if(t.isKind(\"open\")||t.isKind(\"left\"))return 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e=t.First;if(e.isKind(\"mstyle\")&&e.notParent&&(e=d.default.getChildren(d.default.getChildren(e)[0])[0]),e.isKind(\"mspace\")){if(e!==t.First){var r=this.create(\"node\",\"mrow\",[t.Pop()]);t.Push(r)}this.factory.configuration.addNode(\"nonscript\",t.First)}}return[[t],!0]},e}(y.BaseItem);r.NonscriptItem=K;var F=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"dots\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){if(t.isKind(\"open\")||t.isKind(\"left\"))return y.BaseItem.success;var e=this.getProperty(\"ldots\"),r=t.First;if(t.isKind(\"mml\")&&d.default.isEmbellished(r)){var n=d.default.getTexClass(d.default.getCoreMO(r));n!==p.TEXCLASS.BIN&&n!==p.TEXCLASS.REL||(e=this.getProperty(\"cdots\"))}return[[e,t],!0]},e}(y.BaseItem);r.DotsItem=F;var N=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return 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t=this.arraydef.scriptlevel;delete this.arraydef.scriptlevel;var e=this.create(\"node\",\"mtable\",this.table,this.arraydef);return t&&e.setProperty(\"scriptlevel\",t),4===this.frame.length?d.default.setAttribute(e,\"frame\",this.dashed?\"dashed\":\"solid\"):this.frame.length&&(this.arraydef.rowlines&&(this.arraydef.rowlines=this.arraydef.rowlines.replace(/none( none)+$/,\"none\")),d.default.setAttribute(e,\"frame\",\"\"),e=this.create(\"node\",\"menclose\",[e],{notation:this.frame.join(\" \")}),\"none\"===(this.arraydef.columnlines||\"none\")&&\"none\"===(this.arraydef.rowlines||\"none\")||d.default.setAttribute(e,\"data-padding\",0)),(this.getProperty(\"open\")||this.getProperty(\"close\"))&&(e=h.default.fenced(this.factory.configuration,this.getProperty(\"open\"),e,this.getProperty(\"close\"))),e},e.prototype.EndEntry=function(){var t=this.create(\"node\",\"mtd\",this.nodes);this.hfill.length&&(0===this.hfill[0]&&d.default.setAttribute(t,\"columnalign\",\"right\"),this.hfill[this.hfill.length-1]===this.Size()&&d.default.setAttribute(t,\"columnalign\",d.default.getAttribute(t,\"columnalign\")?\"center\":\"left\")),this.row.push(t),this.Clear(),this.hfill=[]},e.prototype.EndRow=function(){var t;this.getProperty(\"isNumbered\")&&3===this.row.length?(this.row.unshift(this.row.pop()),t=this.create(\"node\",\"mlabeledtr\",this.row)):t=this.create(\"node\",\"mtr\",this.row),this.table.push(t),this.row=[]},e.prototype.EndTable=function(){(this.Size()||this.row.length)&&(this.EndEntry(),this.EndRow()),this.checkLines()},e.prototype.checkLines=function(){if(this.arraydef.rowlines){var t=this.arraydef.rowlines.split(/ /);t.length===this.table.length?(this.frame.push(\"bottom\"),t.pop(),this.arraydef.rowlines=t.join(\" \")):t.length<this.table.length-1&&(this.arraydef.rowlines+=\" 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s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"eqnarray\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.row.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.create(\"node\",\"mtd\",this.nodes);this.row.push(t),this.Clear()},e.prototype.EndRow=function(){this.row.length>this.maxrow&&(this.maxrow=this.row.length);var t=\"mtr\",e=this.factory.configuration.tags.getTag();e&&(this.row=[e].concat(this.row),t=\"mlabeledtr\"),this.factory.configuration.tags.clearTag();var r=this.create(\"node\",t,this.row);this.table.push(r),this.row=[]},e.prototype.EndTable=function(){t.prototype.EndTable.call(this),this.factory.configuration.tags.end(),this.extendArray(\"columnalign\",this.maxrow),this.extendArray(\"columnwidth\",this.maxrow),this.extendArray(\"columnspacing\",this.maxrow-1)},e.prototype.extendArray=function(t,e){if(this.arraydef[t]){var r=this.arraydef[t].split(/ 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e,r,a=this.adaptor,i=!1,o=a.kind(t).replace(/^.*:/,\"\"),l=a.getAttribute(t,\"data-mjx-texclass\")||\"\";l&&(l=this.filterAttribute(\"data-mjx-texclass\",l)||\"\");var c=l&&\"mrow\"===o?\"TeXAtom\":o;try{for(var h=s(this.filterClassList(a.allClasses(t))),d=h.next();!d.done;d=h.next()){var u=d.value;u.match(/^MJX-TeXAtom-/)?(l=u.substr(12),c=\"TeXAtom\"):\"MJX-fixedlimits\"===u&&(i=!0)}}catch(t){e={error:t}}finally{try{d&&!d.done&&(r=h.return)&&r.call(h)}finally{if(e)throw e.error}}this.factory.getNodeClass(c)||this.error('Unknown node type \"'+c+'\"');var p=this.factory.create(c);return\"TeXAtom\"!==c||\"OP\"!==l||i||(p.setProperty(\"movesupsub\",!0),p.attributes.setInherited(\"movablelimits\",!0)),l&&(p.texClass=n.TEXCLASS[l],p.setProperty(\"texClass\",p.texClass)),this.addAttributes(p,t),this.checkClass(p,t),this.addChildren(p,t),p},t.prototype.addAttributes=function(t,e){var r,a,i=!1;try{for(var o=s(this.adaptor.allAttributes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=l.name,h=this.filterAttribute(c,l.value);if(null!==h&&\"xmlns\"!==c)if(\"data-mjx-\"===c.substr(0,9))\"data-mjx-alternate\"===c?t.setProperty(\"variantForm\",!0):\"data-mjx-variant\"===c?(t.attributes.set(\"mathvariant\",h),i=!0):\"data-mjx-smallmatrix\"===c?(t.setProperty(\"scriptlevel\",1),t.setProperty(\"useHeight\",!1)):\"data-mjx-accent\"===c?t.setProperty(\"mathaccent\",\"true\"===h):\"data-mjx-auto-op\"===c&&t.setProperty(\"autoOP\",\"true\"===h);else if(\"class\"!==c){var d=h.toLowerCase();\"true\"===d||\"false\"===d?t.attributes.set(c,\"true\"===d):i&&\"mathvariant\"===c||t.attributes.set(c,h)}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}},t.prototype.filterAttribute=function(t,e){return e},t.prototype.filterClassList=function(t){return t},t.prototype.addChildren=function(t,e){var r,a;if(0!==t.arity){var i=this.adaptor;try{for(var o=s(i.childNodes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=i.kind(l);if(\"#comment\"!==c)if(\"#text\"===c)this.addText(t,l);else if(t.isKind(\"annotation-xml\"))t.appendChild(this.factory.create(\"XML\").setXML(l,i));else{var h=t.appendChild(this.makeNode(l));0===h.arity&&i.childNodes(l).length&&(this.options.fixMisplacedChildren?this.addChildren(t,l):h.mError(\"There should not be children for \"+h.kind+\" nodes\",this.options.verify,!0))}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}}},t.prototype.addText=function(t,e){var r=this.adaptor.value(e);(t.isToken||t.getProperty(\"isChars\"))&&t.arity?(t.isToken&&(r=c.translate(r),r=this.trimSpace(r)),t.appendChild(this.factory.create(\"text\").setText(r))):r.match(/\\S/)&&this.error('Unexpected text node \"'+r+'\"')},t.prototype.checkClass=function(t,e){var r,a,i=[];try{for(var o=s(this.filterClassList(this.adaptor.allClasses(e))),n=o.next();!n.done;n=o.next()){var l=n.value;\"MJX-\"===l.substr(0,4)?\"MJX-variant\"===l?t.setProperty(\"variantForm\",!0):\"MJX-TeXAtom\"!==l.substr(0,11)&&t.attributes.set(\"mathvariant\",this.fixCalligraphic(l.substr(3))):i.push(l)}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}i.length&&t.attributes.set(\"class\",i.join(\" \"))},t.prototype.fixCalligraphic=function(t){return t.replace(/caligraphic/,\"calligraphic\")},t.prototype.markMrows=function(t){if(t.isKind(\"mrow\")&&!t.isInferred&&t.childNodes.length>=2){var e=t.childNodes[0],r=t.childNodes[t.childNodes.length-1];e.isKind(\"mo\")&&e.attributes.get(\"fence\")&&e.attributes.get(\"stretchy\")&&r.isKind(\"mo\")&&r.attributes.get(\"fence\")&&r.attributes.get(\"stretchy\")&&(e.childNodes.length&&t.setProperty(\"open\",e.getText()),r.childNodes.length&&t.setProperty(\"close\",r.getText()))}},t.prototype.trimSpace=function(t){return t.replace(/[\\t\\n\\r]/g,\" \").replace(/^ +/,\"\").replace(/ +$/,\"\").replace(/  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i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,n,r=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=r.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(i=r.return)&&i.call(r)}finally{if(n)throw n.error}}return s};o();var c=t(566),l=t(570),p=t(661),f=t(713),u=t(530),d=t(560);i.SVGNS=\"http://www.w3.org/2000/svg\",i.XLINKNS=\"http://www.w3.org/1999/xlink\";var y=function(t){function e(e){void 0===e&&(e=null);var i=t.call(this,e,l.SVGWrapperFactory,p.TeXFont)||this;return i.minwidth=0,i.shift=0,i.container=null,i.svgStyles=null,i.fontCache=new f.FontCache(i),i}return 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n=o.getAttribute(this.container,\"justify\")||\"center\";this.setIndent(e,n,this.shift)}},e.prototype.setIndent=function(t,e,i){\"center\"!==e&&\"left\"!==e||this.adaptor.setStyle(t,\"margin-left\",this.ex(i)),\"center\"!==e&&\"right\"!==e||this.adaptor.setStyle(t,\"margin-right\",this.ex(-i))},e.prototype.ex=function(t){return t/=this.font.params.x_height,Math.abs(t)<.001?\"0\":t.toFixed(3).replace(/\\.?0+$/,\"\")+\"ex\"},e.prototype.svg=function(t,e,o){return void 0===e&&(e={}),void 0===o&&(o=[]),this.html(t,e,o,i.SVGNS)},e.prototype.unknownText=function(t,e){var i=this.math.metrics,o=this.font.params.x_height/i.ex*i.em*1e3,n=this.svg(\"text\",{\"data-variant\":e,transform:\"scale(1,-1)\",\"font-size\":this.fixed(o,1)+\"px\"},[this.text(t)]),r=this.adaptor;if(\"-explicitFont\"!==e){var s=u.unicodeChars(t);if(1!==s.length||s[0]<119808||s[0]>120831){var a=h(this.font.getCssFont(e),3),c=a[0],l=a[1],p=a[2];r.setAttribute(n,\"font-family\",c),l&&r.setAttribute(n,\"font-style\",\"italic\"),p&&r.setAttribute(n,\"font-weight\",\"bold\")}}return n},e.prototype.measureTextNode=function(t){var e=this.adaptor;t=e.clone(t),e.removeAttribute(t,\"transform\");var i=this.fixed(1e3*this.font.params.x_height,1),o=this.svg(\"svg\",{position:\"absolute\",visibility:\"hidden\",width:\"1ex\",height:\"1ex\",viewBox:[0,0,i,i].join(\" \")},[t]);e.append(e.body(e.document),o);var n=e.nodeSize(t,1e3,!0)[0];return e.remove(o),{w:n,h:.75,d:.2}},e.NAME=\"SVG\",e.OPTIONS=a(a({},c.CommonOutputJax.OPTIONS),{internalSpeechTitles:!0,titleID:0,fontCache:\"local\",localID:null}),e.commonStyles={'mjx-container[jax=\"SVG\"]':{direction:\"ltr\"},'mjx-container[jax=\"SVG\"] > svg':{overflow:\"visible\",\"min-height\":\"1px\",\"min-width\":\"1px\"},'mjx-container[jax=\"SVG\"] > svg 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i=h(t.math),s=i.next();!s.done;s=i.next()){var a=s.value,l=n.parent(a.start.node);if(a.state()<p.STATE.METRICS&&l){var c=r[a.display?1:0].get(l),y=c.em,u=c.ex,d=c.containerWidth,f=c.lineWidth,m=c.scale,x=c.family;a.setMetrics(y,u,d,f,m),this.options.mtextInheritFont&&(a.outputData.mtextFamily=x),this.options.merrorInheritFont&&(a.outputData.merrorFamily=x),a.state(p.STATE.METRICS)}}}catch(t){e={error:t}}finally{try{s&&!s.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}},e.prototype.getMetricsFor=function(t,e){var o=this.options.mtextInheritFont||this.options.merrorInheritFont,n=this.getTestElement(t,e),r=this.measureMetrics(n,o);return this.adaptor.remove(n),r},e.prototype.getMetricMaps=function(t){var e,o,n,r,i,s,a,l,c,y,u=this.adaptor,d=[new Map,new Map];try{for(var f=h(t.math),m=f.next();!m.done;m=f.next()){var x=m.value;if((C=u.parent(x.start.node))&&x.state()<p.STATE.METRICS){var v=d[x.display?1:0];v.has(C)||v.set(C,this.getTestElement(C,x.display))}}}catch(t){e={error:t}}finally{try{m&&!m.done&&(o=f.return)&&o.call(f)}finally{if(e)throw e.error}}var S=this.options.mtextInheritFont||this.options.merrorInheritFont,g=[new Map,new Map];try{for(var w=h(g.keys()),b=w.next();!b.done;b=w.next()){var M=b.value;try{for(var F=(i=void 0,h(d[M].keys())),T=F.next();!T.done;T=F.next()){var C=T.value;g[M].set(C,this.measureMetrics(d[M].get(C),S))}}catch(t){i={error:t}}finally{try{T&&!T.done&&(s=F.return)&&s.call(F)}finally{if(i)throw i.error}}}}catch(t){n={error:t}}finally{try{b&&!b.done&&(r=w.return)&&r.call(w)}finally{if(n)throw n.error}}try{for(var O=h(g.keys()),I=O.next();!I.done;I=O.next()){M=I.value;try{for(var _=(c=void 0,h(d[M].values())),j=_.next();!j.done;j=_.next()){C=j.value;u.remove(C)}}catch(t){c={error:t}}finally{try{j&&!j.done&&(y=_.return)&&y.call(_)}finally{if(c)throw c.error}}}}catch(t){a={error:t}}finally{try{I&&!I.done&&(l=O.return)&&l.call(O)}finally{if(a)throw a.error}}return g},e.prototype.getTestElement=function(t,e){var o=this.adaptor;if(!this.testInline){this.testInline=this.html(\"mjx-test\",{style:{display:\"inline-block\",width:\"100%\",\"font-style\":\"normal\",\"font-weight\":\"normal\",\"font-size\":\"100%\",\"font-size-adjust\":\"none\",\"text-indent\":0,\"text-transform\":\"none\",\"letter-spacing\":\"normal\",\"word-spacing\":\"normal\",overflow:\"hidden\",height:\"1px\",\"margin-right\":\"-1px\"}},[this.html(\"mjx-left-box\",{style:{display:\"inline-block\",width:0,float:\"left\"}}),this.html(\"mjx-ex-box\",{style:{position:\"absolute\",overflow:\"hidden\",width:\"1px\",height:\"60ex\"}}),this.html(\"mjx-right-box\",{style:{display:\"inline-block\",width:0,float:\"right\"}})]),this.testDisplay=o.clone(this.testInline),o.setStyle(this.testDisplay,\"display\",\"table\"),o.setStyle(this.testDisplay,\"margin-right\",\"\"),o.setStyle(o.firstChild(this.testDisplay),\"display\",\"none\");var n=o.lastChild(this.testDisplay);o.setStyle(n,\"display\",\"table-cell\"),o.setStyle(n,\"width\",\"10000em\"),o.setStyle(n,\"float\",\"\")}return o.append(t,o.clone(e?this.testDisplay:this.testInline))},e.prototype.measureMetrics=function(t,e){var o=this.adaptor,n=e?o.fontFamily(t):\"\",r=o.fontSize(t),i=l(o.nodeSize(o.childNode(t,1)),2),s=i[0],a=i[1],h=s?a/60:r*this.options.exFactor;return{em:r,ex:h,containerWidth:s?\"table\"===o.getStyle(t,\"display\")?o.nodeSize(o.lastChild(t))[0]-1:o.nodeBBox(o.lastChild(t)).left-o.nodeBBox(o.firstChild(t)).left-2:1e6,lineWidth:1e6,scale:Math.max(this.options.minScale,this.options.matchFontHeight?h/this.font.params.x_height/r:1),family:n}},e.prototype.styleSheet=function(t){var e,o;if(this.setDocument(t),this.cssStyles.clear(),this.cssStyles.addStyles(this.constructor.commonStyles),\"getStyles\"in t)try{for(var n=h(t.getStyles()),r=n.next();!r.done;r=n.next()){var 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e=this.adaptor,o=this.html(\"mjx-xml-block\",{style:{display:\"inline-block\"}},[e.clone(t)]),n=this.html(\"mjx-baseline\",{style:{display:\"inline-block\",width:0,height:0}}),r=this.html(\"mjx-measure-xml\",{style:{position:\"absolute\",display:\"inline-block\",\"font-family\":\"initial\",\"line-height\":\"normal\"}},[n,o]);e.append(e.parent(this.math.start.node),this.container),e.append(this.container,r);var i=this.math.metrics.em*this.math.metrics.scale,s=e.nodeBBox(o),a=s.left,l=s.right,h=s.bottom,c=s.top,p=(l-a)/i,y=(e.nodeBBox(n).top-c)/i,u=(h-c)/i-y;return e.remove(this.container),e.remove(r),{w:p,h:y,d:u}},e.prototype.cssFontStyles=function(t,e){void 0===e&&(e={});var o=l(t,3),n=o[0],r=o[1],i=o[2];return e[\"font-family\"]=this.font.getFamily(n),r&&(e[\"font-style\"]=\"italic\"),i&&(e[\"font-weight\"]=\"bold\"),e},e.prototype.getFontData=function(t){return t||(t=new 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f=t(577),l=t(530),y=t(578);r.DirectionVH=((s={})[1]=\"v\",s[2]=\"h\",s),r.CommonMoMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var i=t.apply(this,u([],c(e)))||this;return i.size=null,i.isAccent=i.node.isAccent,i}return a(e,t),e.prototype.computeBBox=function(t,e){if(void 0===e&&(e=!1),this.protoBBox(t),this.node.attributes.get(\"symmetric\")&&2!==this.stretch.dir){var r=this.getCenterOffset(t);t.h+=r,t.d-=r}this.node.getProperty(\"mathaccent\")&&(0===this.stretch.dir||this.size>=0)&&(t.w=0)},e.prototype.protoBBox=function(e){var r=0!==this.stretch.dir;r&&null===this.size&&this.getStretchedVariant([0]),r&&this.size<0||(t.prototype.computeBBox.call(this,e),this.copySkewIC(e))},e.prototype.getAccentOffset=function(){var t=f.BBox.empty();return this.protoBBox(t),-t.w/2},e.prototype.getCenterOffset=function(e){return void 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n=t.apply(this,l([],a(e)))||this;if(n.bevel=null,n.pad=n.node.getProperty(\"withDelims\")?0:n.font.params.nulldelimiterspace,n.node.attributes.get(\"bevelled\")){var i=n.getBevelData(n.isDisplay()).H,r=n.bevel=n.createMo(\"/\");r.node.attributes.set(\"symmetric\",!0),r.canStretch(1),r.getStretchedVariant([i],!0)}return n}return s(e,t),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.empty();var o=this.node.attributes.getList(\"linethickness\",\"bevelled\"),n=o.linethickness,i=o.bevelled,r=this.isDisplay(),s=null;if(i)this.getBevelledBBox(t,r);else{var a=this.length2em(String(n),.06);s=-2*this.pad,0===a?this.getAtopBBox(t,r):(this.getFractionBBox(t,r,a),s-=.2),s+=t.w}t.clean(),this.setChildPWidths(e,s)},e.prototype.getFractionBBox=function(t,e,o){var n=this.childNodes[0].getBBox(),i=this.childNodes[1].getBBox(),r=this.font.params.axis_height,s=this.getTUV(e,o),a=s.T,l=s.u,h=s.v;t.combine(n,0,r+a+Math.max(n.d*n.rscale,l)),t.combine(i,0,r-a-Math.max(i.h*i.rscale,h)),t.w+=2*this.pad+.2},e.prototype.getTUV=function(t,e){var o=this.font.params,n=o.axis_height,i=(t?3.5:1.5)*e;return{T:(t?3.5:1.5)*e,u:(t?o.num1:o.num2)-n-i,v:(t?o.denom1:o.denom2)+n-i}},e.prototype.getAtopBBox=function(t,e){var o=this.getUVQ(e),n=o.u,i=o.v,r=o.nbox,s=o.dbox;t.combine(r,0,n),t.combine(s,0,-i),t.w+=2*this.pad},e.prototype.getUVQ=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=this.font.params,i=a(t?[n.num1,n.denom1]:[n.num3,n.denom2],2),r=i[0],s=i[1],l=(t?7:3)*n.rule_thickness,h=r-e.d*e.scale-(o.h*o.scale-s);return h<l&&(r+=(l-h)/2,s+=(l-h)/2,h=l),{u:r,v:s,q:h,nbox:e,dbox:o}},e.prototype.getBevelledBBox=function(t,e){var o=this.getBevelData(e),n=o.u,i=o.v,r=o.delta,s=o.nbox,a=o.dbox,l=this.bevel.getBBox();t.combine(s,0,n),t.combine(l,t.w-r/2,0),t.combine(a,t.w-r/2,i)},e.prototype.getBevelData=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=t?.4:.15,i=Math.max(e.scale*(e.h+e.d),o.scale*(o.h+o.d))+2*n,r=this.font.params.axis_height;return{H:i,delta:n,u:e.scale*(e.d-e.h)/2+r+n,v:o.scale*(o.d-o.h)/2+r-n,nbox:e,dbox:o}},e.prototype.canStretch=function(t){return!1},e.prototype.isDisplay=function(){var t=this.node.attributes.getList(\"displaystyle\",\"scriptlevel\"),e=t.displaystyle,o=t.scriptlevel;return e&&0===o},e.prototype.getWrapWidth=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?this.childNodes[t].getBBox().w:this.getBBox().w-(this.length2em(e.get(\"linethickness\"))?.2:0)-2*this.pad},e.prototype.getChildAlign=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?\"left\":e.get([\"numalign\",\"denomalign\"][t])},e}(t)}},\n      611: function _(t,e,r,n,o){var i,l=this&&this.__extends||(i=function(t,e){return i=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])},i(t,e)},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}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)},u=this&&this.__values||function(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.\")};n();var a=t(533),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfrac\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=u(this.childNodes),o=n.next();!o.done;o=n.next()){o.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){(!e||r>0)&&r++,this.childNodes[0].setInheritedAttributes(t,!1,r,n),this.childNodes[1].setInheritedAttributes(t,!1,r,!0)},e.defaults=s(s({},a.AbstractMmlBaseNode.defaults),{linethickness:\"medium\",numalign:\"center\",denomalign:\"center\",bevelled:!1}),e}(a.AbstractMmlBaseNode);r.MmlMfrac=c},\n      612: function _(t,o,i,s,n){var e,r=this&&this.__extends||(e=function(t,o){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var i in o)Object.prototype.hasOwnProperty.call(o,i)&&(t[i]=o[i])},e(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function i(){this.constructor=t}e(t,o),t.prototype=null===o?Object.create(o):(i.prototype=o.prototype,new i)});s();var h=t(574),p=t(613),a=t(614),d=function(t){function o(){var o=null!==t&&t.apply(this,arguments)||this;return o.dx=0,o}return r(o,t),o.prototype.toSVG=function(t){var o=this.childNodes[this.surd],i=this.childNodes[this.base],s=this.root?this.childNodes[this.root]:null,n=this.getBBox(),e=o.getBBox(),r=i.getBBox(),h=this.getPQ(e)[1],p=this.font.params.rule_thickness*this.bbox.scale,a=r.h+h+p,d=this.standardSVGnode(t),c=this.adaptor.append(d,this.svg(\"g\"));this.addRoot(d,s,e,a),o.toSVG(d),o.place(this.dx,n.h-e.h-p),i.toSVG(c),i.place(this.dx+e.w,0),this.adaptor.append(d,this.svg(\"rect\",{width:this.fixed(r.w),height:this.fixed(p),x:this.fixed(this.dx+e.w),y:this.fixed(n.h-2*p)}))},o.prototype.addRoot=function(t,o,i,s){},o.kind=a.MmlMsqrt.prototype.kind,o}(p.CommonMsqrtMixin(h.SVGWrapper));i.SVGmsqrt=d},\n      613: function _(t,e,r,o,n){var i,s=this&&this.__extends||(i=function(t,e){return i=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])},i(t,e)},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}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return s},a=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var c=t(577);r.CommonMsqrtMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,a([],u(e)))||this,n=o.createMo(\"\\u221a\");n.canStretch(1);var i=o.childNodes[o.base].getBBox(),s=i.h,c=i.d,h=o.font.params.rule_thickness,p=o.node.attributes.get(\"displaystyle\")?o.font.params.x_height:h;return o.surdH=s+c+2*h+p/4,n.getStretchedVariant([o.surdH-c,c],!0),o}return s(e,t),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"surd\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"root\",{get:function(){return null},enumerable:!1,configurable:!0}),e.prototype.createMo=function(e){var r=t.prototype.createMo.call(this,e);return this.childNodes.push(r),r},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var r=this.childNodes[this.surd].getBBox(),o=new c.BBox(this.childNodes[this.base].getBBox()),n=this.getPQ(r)[1],i=this.font.params.rule_thickness,s=o.h+n+i,a=u(this.getRootDimens(r,s),1)[0];t.h=s+i,this.combineRootBBox(t,r,s),t.combine(r,a,s-r.h),t.combine(o,a+r.w,0),t.clean(),this.setChildPWidths(e)},e.prototype.combineRootBBox=function(t,e,r){},e.prototype.getPQ=function(t){var e=this.font.params.rule_thickness,r=this.node.attributes.get(\"displaystyle\")?this.font.params.x_height:e;return[r,t.h+t.d>this.surdH?(t.h+t.d-(this.surdH-2*e-r/2))/2:e+r/4]},e.prototype.getRootDimens=function(t,e){return[0,0,0,0]},e}(t)}},\n      614: function _(t,e,r,n,o){var i,s=this&&this.__extends||(i=function(t,e){return i=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])},i(t,e)},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}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__assign||function(){return u=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},u.apply(this,arguments)};n();var c=t(533),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.ORD,e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msqrt\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return-1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0)},e.defaults=u({},c.AbstractMmlNode.defaults),e}(c.AbstractMmlNode);r.MmlMsqrt=l},\n      615: function _(t,o,r,n,e){var i,c=this&&this.__extends||(i=function(t,o){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var r in o)Object.prototype.hasOwnProperty.call(o,r)&&(t[r]=o[r])},i(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(r.prototype=o.prototype,new r)}),l=this&&this.__read||function(t,o){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,e,i=r.call(t),c=[];try{for(;(void 0===o||o-- 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e(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(e.prototype=o.prototype,new e)});r(),e.CommonMrootMixin=function(t){return function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return c(o,t),Object.defineProperty(o.prototype,\"surd\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(o.prototype,\"root\",{get:function(){return 1},enumerable:!1,configurable:!0}),o.prototype.combineRootBBox=function(t,o,e){var r=this.childNodes[this.root].getBBox(),n=this.getRootDimens(o,e)[1];t.combine(r,0,n)},o.prototype.getRootDimens=function(t,o){var e=this.childNodes[this.surd],r=this.childNodes[this.root].getBBox(),n=(e.size<0?.5:.6)*t.w,i=r.w,c=r.rscale,u=Math.max(i,n/c),s=Math.max(0,u-i);return[u*c-n,this.rootHeight(r,t,e.size,o),s]},o.prototype.rootHeight=function(t,o,e,r){var n=o.h+o.d;return(e<0?1.9:.55*n)-(n-r)+Math.max(0,t.d*t.rscale)},o}(t)}},\n      617: function _(t,e,r,n,o){var s,i=this&&this.__extends||(s=function(t,e){return s=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])},s(t,e)},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}s(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},c.apply(this,arguments)};n();var u=t(533),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=u.TEXCLASS.ORD,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mroot\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this.childNodes[1].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0),this.childNodes[1].setInheritedAttributes(t,!1,r+2,n)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMroot=l},\n      618: function _(t,n,r,e,o){var i,l=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(t[r]=n[r])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a 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i=l(this.childNodes.slice(1)),s=i.next();!s.done;s=i.next()){var a=s.value;this.addMo(o.separators[n++]),e.childNodes.push(a)}}catch(r){t={error:r}}finally{try{s&&!s.done&&(r=i.return)&&r.call(i)}finally{if(t)throw t.error}}this.addMo(o.close),e.stretchChildren()},r.prototype.addMo=function(t){if(t){var r=this.wrap(t);this.mrow.childNodes.push(r),r.parent=this.mrow}},r.prototype.computeBBox=function(t,r){void 0===r&&(r=!1),t.updateFrom(this.mrow.getBBox()),this.setChildPWidths(r)},r}(t)}},\n      620: function _(t,e,r,o,s){var n,i=this&&this.__extends||(n=function(t,e){return n=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])},n(t,e)},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}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,o=arguments.length;r<o;r++)for(var s in e=arguments[r])Object.prototype.hasOwnProperty.call(e,s)&&(t[s]=e[s]);return t},a.apply(this,arguments)},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],o=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var c=t(533),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.INNER,e.separators=[],e.open=null,e.close=null,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfenced\"},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){this.getPrevClass(t),this.open&&(t=this.open.setTeXclass(t)),this.childNodes[0]&&(t=this.childNodes[0].setTeXclass(t));for(var e=1,r=this.childNodes.length;e<r;e++)this.separators[e-1]&&(t=this.separators[e-1].setTeXclass(t)),this.childNodes[e]&&(t=this.childNodes[e].setTeXclass(t));return this.close&&(t=this.close.setTeXclass(t)),this.updateTeXclass(this.open),t},e.prototype.setChildInheritedAttributes=function(e,r,o,s){var n,i;this.addFakeNodes();try{for(var a=l([this.open,this.close].concat(this.separators)),c=a.next();!c.done;c=a.next()){var h=c.value;h&&h.setInheritedAttributes(e,r,o,s)}}catch(t){n={error:t}}finally{try{c&&!c.done&&(i=a.return)&&i.call(a)}finally{if(n)throw n.error}}t.prototype.setChildInheritedAttributes.call(this,e,r,o,s)},e.prototype.addFakeNodes=function(){var t,e,r=this.attributes.getList(\"open\",\"close\",\"separators\"),o=r.open,s=r.close,n=r.separators;if(o=o.replace(/[ \\t\\n\\r]/g,\"\"),s=s.replace(/[ \\t\\n\\r]/g,\"\"),n=n.replace(/[ \\t\\n\\r]/g,\"\"),o&&(this.open=this.fakeNode(o,{fence:!0,form:\"prefix\"},c.TEXCLASS.OPEN)),n){for(;n.length<this.childNodes.length-1;)n+=n.charAt(n.length-1);var i=0;try{for(var a=l(this.childNodes.slice(1)),h=a.next();!h.done;h=a.next()){h.value&&this.separators.push(this.fakeNode(n.charAt(i++)))}}catch(e){t={error:e}}finally{try{h&&!h.done&&(e=a.return)&&e.call(a)}finally{if(t)throw t.error}}}s&&(this.close=this.fakeNode(s,{fence:!0,form:\"postfix\"},c.TEXCLASS.CLOSE))},e.prototype.fakeNode=function(t,e,r){void 0===e&&(e={}),void 0===r&&(r=null);var o=this.factory.create(\"text\").setText(t),s=this.factory.create(\"mo\",e,[o]);return s.texClass=r,s.parent=this,s},e.defaults=a(a({},c.AbstractMmlNode.defaults),{open:\"(\",close:\")\",separators:\",\"}),e}(c.AbstractMmlNode);r.MmlMfenced=h},\n      621: function _(t,n,o,r,i){var e,s=this&&this.__extends||(e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},e(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)}),u=this&&this.__read||function(t,n){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var r,i,e=o.call(t),s=[];try{for(;(void 0===n||n-- >0)&&!(r=e.next()).done;)s.push(r.value)}catch(t){i={error:t}}finally{try{r&&!r.done&&(o=e.return)&&o.call(e)}finally{if(i)throw i.error}}return s};r();var p=t(622),l=t(624),a=t(624),c=t(624),f=t(625),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsub.prototype.kind,n}(l.CommonMsubMixin(p.SVGscriptbase));o.SVGmsub=h;var y=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsup.prototype.kind,n}(a.CommonMsupMixin(p.SVGscriptbase));o.SVGmsup=y;var d=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.prototype.toSVG=function(t){var n=this.standardSVGnode(t),o=u([this.baseChild,this.supChild,this.subChild],3),r=o[0],i=o[1],e=o[2],s=this.getBaseWidth(),p=this.getAdjustedIc(),l=u(this.getUVQ(),2),a=l[0],c=l[1];r.toSVG(n),i.toSVG(n),e.toSVG(n),e.place(s,c),i.place(s+p,a)},n.kind=f.MmlMsubsup.prototype.kind,n}(c.CommonMsubsupMixin(p.SVGscriptbase));o.SVGmsubsup=d},\n      622: function _(t,r,o,n,e){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(o.prototype=r.prototype,new o)}),a=this&&this.__read||function(t,r){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var n,e,i=o.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){e={error:t}}finally{try{n&&!n.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}return s};n();var c=t(574),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),o=this.getBaseWidth(),n=a(this.getOffset(),2),e=n[0],i=n[1];this.baseChild.toSVG(r),this.scriptChild.toSVG(r),this.scriptChild.place(o+e,i)},r.kind=\"scriptbase\",r}(t(623).CommonScriptbaseMixin(c.SVGWrapper));o.SVGscriptbase=l},\n      623: function _(e,t,r,i,n){var s,o=this&&this.__extends||(s=function(e,t){return s=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},s(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}s(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),a=this&&this.__read||function(e,t){var r=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!r)return e;var i,n,s=r.call(e),o=[];try{for(;(void 0===t||t-- >0)&&!(i=s.next()).done;)o.push(i.value)}catch(e){n={error:e}}finally{try{i&&!i.done&&(r=s.return)&&r.call(s)}finally{if(n)throw n.error}}return o},c=this&&this.__spreadArray||function(e,t){for(var r=0,i=t.length,n=e.length;r<i;r++,n++)e[n]=t[r];return e},h=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],i=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&i>=e.length&&(e=void 0),{value:e&&e[i++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};i(),r.CommonScriptbaseMixin=function(e){var t;return t=function(e){function t(){for(var t=[],r=0;r<arguments.length;r++)t[r]=arguments[r];var i=e.apply(this,c([],a(t)))||this;i.baseScale=1,i.baseIc=0,i.baseRemoveIc=!1,i.baseIsChar=!1,i.baseHasAccentOver=null,i.baseHasAccentUnder=null,i.isLineAbove=!1,i.isLineBelow=!1,i.isMathAccent=!1;var n=i.baseCore=i.getBaseCore();return n?(i.setBaseAccentsFor(n),i.baseScale=i.getBaseScale(),i.baseIc=i.getBaseIc(),i.baseIsChar=i.isCharBase(),i.isMathAccent=i.baseIsChar&&i.scriptChild&&!!i.scriptChild.coreMO().node.getProperty(\"mathaccent\"),i.checkLineAccents(),i.baseRemoveIc=!i.isLineAbove&&!i.isLineBelow&&(!i.constructor.useIC||i.isMathAccent),i):i}return o(t,e),Object.defineProperty(t.prototype,\"baseChild\",{get:function(){return this.childNodes[this.node.base]},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"scriptChild\",{get:function(){return this.childNodes[1]},enumerable:!1,configurable:!0}),t.prototype.getBaseCore=function(){for(var e=this.getSemanticBase()||this.childNodes[0];e&&(1===e.childNodes.length&&(e.node.isKind(\"mrow\")||e.node.isKind(\"TeXAtom\")||e.node.isKind(\"mstyle\")||e.node.isKind(\"mpadded\")||e.node.isKind(\"mphantom\")||e.node.isKind(\"semantics\"))||e.node.isKind(\"munderover\")&&e.isMathAccent);)this.setBaseAccentsFor(e),e=e.childNodes[0];return e||(this.baseHasAccentOver=this.baseHasAccentUnder=!1),e||this.childNodes[0]},t.prototype.setBaseAccentsFor=function(e){e.node.isKind(\"munderover\")&&(null===this.baseHasAccentOver&&(this.baseHasAccentOver=!!e.node.attributes.get(\"accent\")),null===this.baseHasAccentUnder&&(this.baseHasAccentUnder=!!e.node.attributes.get(\"accentunder\")))},t.prototype.getSemanticBase=function(){var e=this.node.attributes.getExplicit(\"data-semantic-fencepointer\");return this.getBaseFence(this.baseChild,e)},t.prototype.getBaseFence=function(e,t){var r,i;if(!e||!e.node.attributes||!t)return null;if(e.node.attributes.getExplicit(\"data-semantic-id\")===t)return e;try{for(var n=h(e.childNodes),s=n.next();!s.done;s=n.next()){var o=s.value,a=this.getBaseFence(o,t);if(a)return a}}catch(e){r={error:e}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return null},t.prototype.getBaseScale=function(){for(var e=this.baseCore,t=1;e&&e!==this;){t*=e.getBBox().rscale,e=e.parent}return t},t.prototype.getBaseIc=function(){return this.baseCore.getBBox().ic*this.baseScale},t.prototype.getAdjustedIc=function(){var e=this.baseCore.getBBox();return(e.ic?1.05*e.ic+.05:0)*this.baseScale},t.prototype.isCharBase=function(){var e=this.baseCore;return(e.node.isKind(\"mo\")&&null===e.size||e.node.isKind(\"mi\")||e.node.isKind(\"mn\"))&&1===e.bbox.rscale&&1===Array.from(e.getText()).length},t.prototype.checkLineAccents=function(){if(this.node.isKind(\"munderover\"))if(this.node.isKind(\"mover\"))this.isLineAbove=this.isLineAccent(this.scriptChild);else if(this.node.isKind(\"munder\"))this.isLineBelow=this.isLineAccent(this.scriptChild);else{this.isLineAbove=this.isLineAccent(this.overChild),this.isLineBelow=this.isLineAccent(this.underChild)}},t.prototype.isLineAccent=function(e){var t=e.coreMO().node;return t.isToken&&\"\\u2015\"===t.getText()},t.prototype.getBaseWidth=function(){var e=this.baseChild.getBBox();return e.w*e.rscale-(this.baseRemoveIc?this.baseIc:0)+this.font.params.extra_ic},t.prototype.computeBBox=function(e,t){void 0===t&&(t=!1);var r=this.getBaseWidth(),i=a(this.getOffset(),2),n=i[0],s=i[1];e.append(this.baseChild.getBBox()),e.combine(this.scriptChild.getBBox(),r+n,s),e.w+=this.font.params.scriptspace,e.clean(),this.setChildPWidths(t)},t.prototype.getOffset=function(){return[0,0]},t.prototype.baseCharZero=function(e){var t=!!this.baseCore.node.attributes.get(\"largeop\"),r=this.baseScale;return this.baseIsChar&&!t&&1===r?0:e},t.prototype.getV=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub1);return Math.max(this.baseCharZero(e.d*this.baseScale+r.sub_drop*t.rscale),i,t.h*t.rscale-.8*r.x_height)},t.prototype.getU=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.node.attributes.getList(\"displaystyle\",\"superscriptshift\"),n=this.node.getProperty(\"texprimestyle\")?r.sup3:i.displaystyle?r.sup1:r.sup2,s=this.length2em(i.superscriptshift,n);return Math.max(this.baseCharZero(e.h*this.baseScale-r.sup_drop*t.rscale),s,t.d*t.rscale+1/4*r.x_height)},t.prototype.hasMovableLimits=function(){var e=this.node.attributes.get(\"displaystyle\"),t=this.baseChild.coreMO().node;return!e&&!!t.attributes.get(\"movablelimits\")},t.prototype.getOverKU=function(e,t){var r=this.node.attributes.get(\"accent\"),i=this.font.params,n=t.d*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentOver?s:0,a=this.isLineAbove?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing1,i.big_op_spacing3-Math.max(0,n)))-o;return[c,e.h*e.rscale+c+n]},t.prototype.getUnderKV=function(e,t){var r=this.node.attributes.get(\"accentunder\"),i=this.font.params,n=t.h*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentUnder?s:0,a=this.isLineBelow?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing2,i.big_op_spacing4-n))-o;return[c,-(e.d*e.rscale+c+n)]},t.prototype.getDeltaW=function(e,t){var r,i,n,s;void 0===t&&(t=[0,0,0]);var o=this.node.attributes.get(\"align\"),l=e.map((function(e){return e.w*e.rscale}));l[0]-=this.baseRemoveIc&&!this.baseCore.node.attributes.get(\"largeop\")?this.baseIc:0;var u=Math.max.apply(Math,c([],a(l))),d=[],p=0;try{for(var f=h(l.keys()),b=f.next();!b.done;b=f.next()){var y=b.value;d[y]=(\"center\"===o?(u-l[y])/2:\"right\"===o?u-l[y]:0)+t[y],d[y]<p&&(p=-d[y])}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}if(p)try{for(var g=h(d.keys()),v=g.next();!v.done;v=g.next()){y=v.value;d[y]+=p}}catch(e){n={error:e}}finally{try{v&&!v.done&&(s=g.return)&&s.call(g)}finally{if(n)throw n.error}}return[1,2].map((function(t){return d[t]+=e[t]?e[t].dx*e[0].scale:0})),d},t.prototype.getDelta=function(e){void 0===e&&(e=!1);var t=this.node.attributes.get(\"accent\"),r=this.baseCore.getBBox(),i=r.sk,n=r.ic;return((t&&!e?i:0)+this.font.skewIcFactor*n)*this.baseScale},t.prototype.stretchChildren=function(){var e,t,r,i,n,s,o=[];try{for(var a=h(this.childNodes),c=a.next();!c.done;c=a.next()){(C=c.value).canStretch(2)&&o.push(C)}}catch(t){e={error:t}}finally{try{c&&!c.done&&(t=a.return)&&t.call(a)}finally{if(e)throw e.error}}var l=o.length,u=this.childNodes.length;if(l&&u>1){var d=0,p=l>1&&l===u;try{for(var f=h(this.childNodes),b=f.next();!b.done;b=f.next()){var y=0===(C=b.value).stretch.dir;if(p||y){var g=C.getBBox(y),v=g.w,m=g.rscale;v*m>d&&(d=v*m)}}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}try{for(var B=h(o),x=B.next();!x.done;x=B.next()){var C;(C=x.value).coreMO().getStretchedVariant([d/C.bbox.rscale])}}catch(e){n={error:e}}finally{try{x&&!x.done&&(s=B.return)&&s.call(B)}finally{if(n)throw n.error}}}},t}(e),t.useIC=!0,t}},\n      624: function _(t,e,i,r,n){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),u=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,n,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(r=o.next()).done;)s.push(r.value)}catch(t){n={error:t}}finally{try{r&&!r.done&&(i=o.return)&&i.call(o)}finally{if(n)throw n.error}}return s};r(),i.CommonMsubMixin=function(t){var e;return e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[0,-this.getV()]},e}(t),e.useIC=!1,e},i.CommonMsupMixin=function(t){return function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[this.getAdjustedIc()-(this.baseRemoveIc?0:this.baseIc),this.getU()]},e}(t)},i.CommonMsubsupMixin=function(t){var e;return e=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.UVQ=null,e}return s(e,t),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i=this.baseChild.getBBox(),r=u([this.subChild.getBBox(),this.supChild.getBBox()],2),n=r[0],o=r[1];t.empty(),t.append(i);var s=this.getBaseWidth(),h=this.getAdjustedIc(),c=u(this.getUVQ(),2),a=c[0],l=c[1];t.combine(n,s,l),t.combine(o,s+h,a),t.w+=this.font.params.scriptspace,t.clean(),this.setChildPWidths(e)},e.prototype.getUVQ=function(t,e){void 0===t&&(t=this.subChild.getBBox()),void 0===e&&(e=this.supChild.getBBox());var i=this.baseCore.getBBox();if(this.UVQ)return this.UVQ;var r=this.font.params,n=3*r.rule_thickness,o=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub2),s=this.baseCharZero(i.d*this.baseScale+r.sub_drop*t.rscale),h=u([this.getU(),Math.max(s,o)],2),c=h[0],a=h[1],l=c-e.d*e.rscale-(t.h*t.rscale-a);if(l<n){a+=n-l;var p=.8*r.x_height-(c-e.d*e.rscale);p>0&&(c+=p,a-=p)}return c=Math.max(this.length2em(this.node.attributes.get(\"superscriptshift\"),c),c),a=Math.max(this.length2em(this.node.attributes.get(\"subscriptshift\"),a),a),l=c-e.d*e.rscale-(t.h*t.rscale-a),this.UVQ=[c,-a,l],this.UVQ},e}(t),e.useIC=!1,e}},\n      625: function _(t,e,r,n,o){var u,i=this&&this.__extends||(u=function(t,e){return u=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])},u(t,e)},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}u(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)};n();var p=t(533),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msubsup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,n){var o=this.childNodes;o[0].setInheritedAttributes(t,e,r,n),o[1].setInheritedAttributes(t,!1,r+1,n||1===this.sub),o[2]&&o[2].setInheritedAttributes(t,!1,r+1,n||2===this.sub)},e.defaults=s(s({},p.AbstractMmlBaseNode.defaults),{subscriptshift:\"\",superscriptshift:\"\"}),e}(p.AbstractMmlBaseNode);r.MmlMsubsup=c;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msub\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsub=f;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsup=a},\n      626: function _(t,e,o,i,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),l=this&&this.__read||function(t,e){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var i,r,n=o.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(i=n.next()).done;)s.push(i.value)}catch(t){r={error:t}}finally{try{i&&!i.done&&(o=n.return)&&o.call(n)}finally{if(r)throw r.error}}return s};i();var a=t(621),h=t(627),p=t(627),u=t(627),c=t(628),d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineBelow?0:this.getDelta(!0),u=this.getUnderKV(a,h)[1],c=l(this.getDeltaW([a,h],[0,-p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMunder.prototype.kind,e}(h.CommonMunderMixin(a.SVGmsub));o.SVGmunder=d;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineAbove?0:this.getDelta(),u=this.getOverKU(a,h)[1],c=l(this.getDeltaW([a,h],[0,p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMover.prototype.kind,e}(p.CommonMoverMixin(a.SVGmsup));o.SVGmover=f;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.overChild,this.underChild],3),r=i[0],n=i[1],s=i[2],a=l([r.getBBox(),n.getBBox(),s.getBBox()],3),h=a[0],p=a[1],u=a[2];r.toSVG(o),s.toSVG(o),n.toSVG(o);var c=this.getDelta(),d=this.getOverKU(h,p)[1],f=this.getUnderKV(h,u)[1],v=l(this.getDeltaW([h,u,p],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),y=v[0],S=v[1],V=v[2];r.place(y,0),s.place(S,f),n.place(V,d)}},e.kind=c.MmlMunderover.prototype.kind,e}(u.CommonMunderoverMixin(a.SVGmsubsup));o.SVGmunderover=v},\n      627: function _(t,e,i,o,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,r,n=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){r={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return s},c=this&&this.__spreadArray||function(t,e){for(var i=0,o=e.length,r=t.length;i<o;i++,r++)t[r]=e[i];return t};o(),i.CommonMunderMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e,i){if(void 0===i&&(i=!1),this.hasMovableLimits())t.prototype.computeBBox.call(this,e,i);else{e.empty();var o=this.baseChild.getBBox(),r=this.scriptChild.getBBox(),n=this.getUnderKV(o,r)[1],s=this.isLineBelow?0:this.getDelta(!0),c=h(this.getDeltaW([o,r],[0,-s]),2),l=c[0],u=c[1];e.combine(o,l,0),e.combine(r,u,n),e.d+=this.font.params.big_op_spacing5,e.clean(),this.setChildPWidths(i)}},e}(t)},i.CommonMoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.baseChild.getBBox(),o=this.scriptChild.getBBox(),r=this.getOverKU(i,o)[1],n=this.isLineAbove?0:this.getDelta(),s=h(this.getDeltaW([i,o],[0,n]),2),c=s[0],l=s[1];e.combine(i,c,0),e.combine(o,l,r),e.h+=this.font.params.big_op_spacing5,e.clean()}},e}(t)},i.CommonMunderoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"underChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"overChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.underChild},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.overChild},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.overChild.getBBox(),o=this.baseChild.getBBox(),r=this.underChild.getBBox(),n=this.getOverKU(o,i)[1],s=this.getUnderKV(o,r)[1],c=this.getDelta(),l=h(this.getDeltaW([o,r,i],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),u=l[0],a=l[1],p=l[2];e.combine(o,u,0),e.combine(i,p,n),e.combine(r,a,s);var f=this.font.params.big_op_spacing5;e.h+=f,e.d+=f,e.clean()}},e}(t)}},\n      628: function _(e,t,r,n,i){var o,u=this&&this.__extends||(o=function(e,t){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},o(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}o(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(e){for(var t,r=1,n=arguments.length;r<n;r++)for(var i in t=arguments[r])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e},c.apply(this,arguments)};n();var a=e(533),l=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munderover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),t.prototype.setChildInheritedAttributes=function(e,t,r,n){var i=this.childNodes;i[0].setInheritedAttributes(e,t,r,n||!!i[this.over]);var o=!(t||!i[0].coreMO().attributes.get(\"movablelimits\")),u=this.constructor.ACCENTS;i[1].setInheritedAttributes(e,!1,this.getScriptlevel(u[1],o,r),n||1===this.under),this.setInheritedAccent(1,u[1],t,r,n,o),i[2]&&(i[2].setInheritedAttributes(e,!1,this.getScriptlevel(u[2],o,r),n||2===this.under),this.setInheritedAccent(2,u[2],t,r,n,o))},t.prototype.getScriptlevel=function(e,t,r){return!t&&this.attributes.get(e)||r++,r},t.prototype.setInheritedAccent=function(e,t,r,n,i,o){var u=this.childNodes[e];if(null==this.attributes.getExplicit(t)&&u.isEmbellished){var c=u.coreMO().attributes.get(\"accent\");this.attributes.setInherited(t,c),c!==this.attributes.getDefault(t)&&u.setInheritedAttributes({},r,this.getScriptlevel(t,o,n),i)}},t.defaults=c(c({},a.AbstractMmlBaseNode.defaults),{accent:!1,accentunder:!1,align:\"center\"}),t.ACCENTS=[\"\",\"accentunder\",\"accent\"],t}(a.AbstractMmlBaseNode);r.MmlMunderover=l;var s=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munder\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t}(l);r.MmlMunder=s;var p=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"mover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t.ACCENTS=[\"\",\"accent\",\"accentunder\"],t}(l);r.MmlMover=p},\n      629: function _(t,r,i,o,e){var n,s=this&&this.__extends||(n=function(t,r){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var i in r)Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i])},n(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,r),t.prototype=null===r?Object.create(r):(i.prototype=r.prototype,new i)}),p=this&&this.__read||function(t,r){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,e,n=i.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){e={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return s};o();var c=t(621),a=t(630),u=t(631),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),i=this.scriptData,o=this.combinePrePost(i.sub,i.psub),e=this.combinePrePost(i.sup,i.psup),n=p(this.getUVQ(o,e),2),s=n[0],c=n[1],a=0;i.numPrescripts&&(a=this.addScripts(.05,s,c,!0,this.firstPrescript,i.numPrescripts));var u=this.baseChild;u.toSVG(r),u.place(a,0),a+=u.getBBox().w,i.numScripts&&this.addScripts(a,s,c,!1,1,i.numScripts)},r.prototype.addScripts=function(t,r,i,o,e,n){var s=this.adaptor,c=s.append(this.element,this.svg(\"g\")),a=s.append(this.element,this.svg(\"g\"));this.place(t,r,c),this.place(t,i,a);for(var u=e+2*n,l=0;e<u;){var h=p([this.childNodes[e++],this.childNodes[e++]],2),f=h[0],d=h[1],y=p([f.getBBox(),d.getBBox()],2),m=y[0],v=y[1],S=p([m.rscale,v.rscale],2),_=S[0],b=S[1],w=Math.max(m.w*_,v.w*b);f.toSVG(a),d.toSVG(c),f.place(l+(o?w-m.w*_:0),0),d.place(l+(o?w-v.w*b:0),0),l+=w}return t+l},r.kind=u.MmlMmultiscripts.prototype.kind,r}(a.CommonMmultiscriptsMixin(c.SVGmsubsup));i.SVGmmultiscripts=l},\n      630: function _(t,s,i,r,e){var n,o=this&&this.__extends||(n=function(t,s){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,s){t.__proto__=s}||function(t,s){for(var i in s)Object.prototype.hasOwnProperty.call(s,i)&&(t[i]=s[i])},n(t,s)},function(t,s){if(\"function\"!=typeof s&&null!==s)throw new TypeError(\"Class extends value \"+String(s)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,s),t.prototype=null===s?Object.create(s):(i.prototype=s.prototype,new i)}),p=this&&this.__read||function(t,s){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,e,n=i.call(t),o=[];try{for(;(void 0===s||s-- >0)&&!(r=n.next()).done;)o.push(r.value)}catch(t){e={error:t}}finally{try{r&&!r.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return o},u=this&&this.__spreadArray||function(t,s){for(var i=0,r=s.length,e=t.length;i<r;i++,e++)t[e]=s[i];return t},a=this&&this.__values||function(t){var s=\"function\"==typeof Symbol&&Symbol.iterator,i=s&&t[s],r=0;if(i)return i.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(s?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};r();var c=t(577);i.NextScript={base:\"subList\",subList:\"supList\",supList:\"subList\",psubList:\"psupList\",psupList:\"psubList\"},i.ScriptNames=[\"sup\",\"sup\",\"psup\",\"psub\"],i.CommonMmultiscriptsMixin=function(t){return function(t){function s(){for(var s=[],i=0;i<arguments.length;i++)s[i]=arguments[i];var r=t.apply(this,u([],p(s)))||this;return r.scriptData=null,r.firstPrescript=0,r.getScriptData(),r}return o(s,t),s.prototype.combinePrePost=function(t,s){var i=new c.BBox(t);return i.combine(s,0,0),i},s.prototype.computeBBox=function(t,s){void 0===s&&(s=!1);var i=this.font.params.scriptspace,r=this.scriptData,e=this.combinePrePost(r.sub,r.psub),n=this.combinePrePost(r.sup,r.psup),o=p(this.getUVQ(e,n),2),u=o[0],a=o[1];if(t.empty(),r.numPrescripts&&(t.combine(r.psup,i,u),t.combine(r.psub,i,a)),t.append(r.base),r.numScripts){var c=t.w;t.combine(r.sup,c,u),t.combine(r.sub,c,a),t.w+=i}t.clean(),this.setChildPWidths(s)},s.prototype.getScriptData=function(){var t=this.scriptData={base:null,sub:c.BBox.empty(),sup:c.BBox.empty(),psub:c.BBox.empty(),psup:c.BBox.empty(),numPrescripts:0,numScripts:0},s=this.getScriptBBoxLists();this.combineBBoxLists(t.sub,t.sup,s.subList,s.supList),this.combineBBoxLists(t.psub,t.psup,s.psubList,s.psupList),t.base=s.base[0],t.numPrescripts=s.psubList.length,t.numScripts=s.subList.length},s.prototype.getScriptBBoxLists=function(){var t,s,r={base:[],subList:[],supList:[],psubList:[],psupList:[]},e=\"base\";try{for(var n=a(this.childNodes),o=n.next();!o.done;o=n.next()){var p=o.value;p.node.isKind(\"mprescripts\")?e=\"psubList\":(r[e].push(p.getBBox()),e=i.NextScript[e])}}catch(s){t={error:s}}finally{try{o&&!o.done&&(s=n.return)&&s.call(n)}finally{if(t)throw t.error}}return this.firstPrescript=r.subList.length+r.supList.length+2,this.padLists(r.subList,r.supList),this.padLists(r.psubList,r.psupList),r},s.prototype.padLists=function(t,s){t.length>s.length&&s.push(c.BBox.empty())},s.prototype.combineBBoxLists=function(t,s,i,r){for(var e=0;e<i.length;e++){var n=p(this.getScaledWHD(i[e]),3),o=n[0],u=n[1],a=n[2],c=p(this.getScaledWHD(r[e]),3),h=c[0],l=c[1],b=c[2],f=Math.max(o,h);t.w+=f,s.w+=f,u>t.h&&(t.h=u),a>t.d&&(t.d=a),l>s.h&&(s.h=l),b>s.d&&(s.d=b)}},s.prototype.getScaledWHD=function(t){var s=t.w,i=t.h,r=t.d,e=t.rscale;return[s*e,i*e,r*e]},s.prototype.getUVQ=function(s,i){var r;if(!this.UVQ){var e=p([0,0,0],3),n=e[0],o=e[1],u=e[2];0===s.h&&0===s.d?n=this.getU():0===i.h&&0===i.d?n=-this.getV():(n=(r=p(t.prototype.getUVQ.call(this,s,i),3))[0],o=r[1],u=r[2]),this.UVQ=[n,o,u]}return this.UVQ},s}(t)}},\n      631: function _(t,e,r,i,n){var o,s=this&&this.__extends||(o=function(t,e){return o=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])},o(t,e)},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}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,i=arguments.length;r<i;r++)for(var n in e=arguments[r])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},c.apply(this,arguments)};i();var u=t(533),l=t(625),p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mmultiscripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,i){this.childNodes[0].setInheritedAttributes(t,e,r,i);for(var n=!1,o=1,s=0;o<this.childNodes.length;o++){var c=this.childNodes[o];if(c.isKind(\"mprescripts\")){if(!n&&(n=!0,o%2==0)){var u=this.factory.create(\"mrow\");this.childNodes.splice(o,0,u),u.parent=this,o++}}else{var l=i||s%2==0;c.setInheritedAttributes(t,!1,r+1,l),s++}}this.childNodes.length%2==(n?1:0)&&(this.appendChild(this.factory.create(\"mrow\")),this.childNodes[this.childNodes.length-1].setInheritedAttributes(t,!1,r+1,i))},e.prototype.verifyChildren=function(e){for(var r=!1,i=e.fixMmultiscripts,n=0;n<this.childNodes.length;n++){var o=this.childNodes[n];o.isKind(\"mprescripts\")&&(r?o.mError(o.kind+\" can only appear once in \"+this.kind,e,!0):(r=!0,n%2!=0||i||this.mError(\"There must be an equal number of prescripts of each type\",e)))}this.childNodes.length%2!=(r?1:0)||i||this.mError(\"There must be an equal number of scripts of each type\",e),t.prototype.verifyChildren.call(this,e)},e.defaults=c({},l.MmlMsubsup.defaults),e}(l.MmlMsubsup);r.MmlMmultiscripts=p;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mprescripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMprescripts=a;var h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"none\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlNone=h},\n      632: function _(t,e,i,s,a){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var s,a,n=i.call(t),o=[];try{for(;(void 0===e||e-- >0)&&!(s=n.next()).done;)o.push(s.value)}catch(t){a={error:t}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(a)throw a.error}}return o},r=this&&this.__spreadArray||function(t,e){for(var i=0,s=e.length,a=t.length;i<s;i++,a++)t[a]=e[i];return t};s();var l=t(574),d=t(633),p=t(635),f=function(t){function e(e,i,s){void 0===s&&(s=null);var a=t.call(this,e,i,s)||this,n={\"data-labels\":!0};return a.isTop&&(n.transform=\"matrix(1 0 0 -1 0 0)\"),a.labels=a.svg(\"g\",n),a}return o(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeRows(e),this.handleColumnLines(e),this.handleRowLines(e),this.handleFrame(e);var i=this.handlePWidth(e);this.handleLabels(e,t,i)},e.prototype.placeRows=function(t){for(var e,i,s,a=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),o=n.H,l=n.D,d=this.getEqualRowHeight(),p=this.getRowHalfSpacing(),f=r(r([this.fLine],h(this.rLines)),[this.fLine]),c=this.getBBox().h-f[0],g=0;g<this.numRows;g++){var u=this.childNodes[g];e=h(this.getRowHD(a,d,o[g],l[g]),2),u.H=e[0],u.D=e[1],i=h([p[g],p[g+1]],2),u.tSpace=i[0],u.bSpace=i[1],s=h([f[g],f[g+1]],2),u.tLine=s[0],u.bLine=s[1],u.toSVG(t),u.place(0,c-p[g]-u.H),c-=p[g]+u.H+u.D+p[g+1]+f[g+1]}},e.prototype.getRowHD=function(t,e,i,s){return t?[(e+i-s)/2,(e-i+s)/2]:[i,s]},e.prototype.handleColor=function(){t.prototype.handleColor.call(this);var e=this.firstChild();e&&this.adaptor.setAttribute(e,\"width\",this.fixed(this.getWidth()))},e.prototype.handleColumnLines=function(t){if(\"none\"!==this.node.attributes.get(\"columnlines\")){var e=this.getColumnAttributes(\"columnlines\");if(e)for(var i=this.getColumnHalfSpacing(),s=this.cLines,a=this.getComputedWidths(),n=this.fLine,o=0;o<e.length;o++)n+=i[o]+a[o]+i[o+1],\"none\"!==e[o]&&this.adaptor.append(t,this.makeVLine(n,e[o],s[o])),n+=s[o]}},e.prototype.handleRowLines=function(t){if(\"none\"!==this.node.attributes.get(\"rowlines\")){var e=this.getRowAttributes(\"rowlines\");if(e)for(var i=this.node.attributes.get(\"equalrows\"),s=this.getTableData(),a=s.H,n=s.D,o=this.getEqualRowHeight(),r=this.getRowHalfSpacing(),l=this.rLines,d=this.getBBox().h-this.fLine,p=0;p<e.length;p++){var f=h(this.getRowHD(i,o,a[p],n[p]),2),c=f[0],g=f[1];d-=r[p]+c+g+r[p+1],\"none\"!==e[p]&&this.adaptor.append(t,this.makeHLine(d,e[p],l[p])),d-=l[p]}}},e.prototype.handleFrame=function(t){if(this.frame&&this.fLine){var e=this.getBBox(),i=e.h,s=e.d,a=e.w,n=this.node.attributes.get(\"frame\");this.adaptor.append(t,this.makeFrame(a,i,s,n))}},e.prototype.handlePWidth=function(t){if(!this.pWidth)return 0;var e=this.getBBox(),i=e.w,s=e.L,a=e.R,n=s+this.pWidth+a,o=this.getAlignShift()[0],h=Math.max(this.isTop?n:0,this.container.getWrapWidth(this.containerI))-s-a,r=i-(this.pWidth>h?h:this.pWidth),l=\"left\"===o?0:\"right\"===o?r:r/2;if(l){var d=this.svg(\"g\",{},this.adaptor.childNodes(t));this.place(l,0,d),this.adaptor.append(t,d)}return l},e.prototype.lineClass=function(t){return\"mjx-\"+t},e.prototype.makeFrame=function(t,e,i,s){var a=this.fLine;return this.svg(\"rect\",this.setLineThickness(a,s,{\"data-frame\":!0,class:this.lineClass(s),width:this.fixed(t-a),height:this.fixed(e+i-a),x:this.fixed(a/2),y:this.fixed(a/2-i)}))},e.prototype.makeVLine=function(t,e,i){var s=this.getBBox(),a=s.h,n=s.d,o=\"dotted\"===e?i/2:0,h=this.fixed(t+i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"v\",class:this.lineClass(e),x1:h,y1:this.fixed(o-n),x2:h,y2:this.fixed(a-o)}))},e.prototype.makeHLine=function(t,e,i){var s=this.getBBox().w,a=\"dotted\"===e?i/2:0,n=this.fixed(t-i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"h\",class:this.lineClass(e),x1:this.fixed(a),y1:n,x2:this.fixed(s-a),y2:n}))},e.prototype.setLineThickness=function(t,e,i){return.07!==t&&(i[\"stroke-thickness\"]=this.fixed(t),\"solid\"!==e&&(i[\"stroke-dasharray\"]=(\"dotted\"===e?\"0,\":\"\")+this.fixed(2*t))),i},e.prototype.handleLabels=function(t,e,i){if(this.hasLabels){var s=this.labels,a=this.node.attributes.get(\"side\");this.spaceLabels(),this.isTop?this.topTable(t,s,a):this.subTable(t,s,a,i)}},e.prototype.spaceLabels=function(){for(var t=this.adaptor,e=this.getBBox().h,i=this.getTableData().L,s=this.getRowHalfSpacing(),a=e-this.fLine,n=t.firstChild(this.labels),o=0;o<this.numRows;o++){var h=this.childNodes[o];if(h.node.isKind(\"mlabeledtr\")){var r=h.childNodes[0];a-=s[o]+h.H,h.placeCell(r,{x:0,y:a,w:i,lSpace:0,rSpace:0,lLine:0,rLine:0}),a-=h.D+s[o+1]+this.rLines[o],n=t.next(n)}else a-=s[o]+h.H+h.D+s[o+1]+this.rLines[o]}},e.prototype.topTable=function(t,e,i){var s=this.adaptor,a=this.getBBox(),n=a.h,o=a.d,r=a.w,l=a.L,d=a.R,p=l+(this.pWidth||r)+d,f=this.getTableData().L,c=h(this.getPadAlignShift(i),3),g=c[1],u=c[2]+(\"right\"===g?-p:\"center\"===g?-p/2:0)+l,x=\"matrix(1 0 0 -1 0 0)\",m=\"scale(\"+this.jax.fixed(1e3*this.font.params.x_height/this.metrics.ex,2)+\")\",v=\"translate(0 \"+this.fixed(n)+\") \"+x+\" \"+m,b=this.svg(\"svg\",{\"data-table\":!0,preserveAspectRatio:\"left\"===g?\"xMinYMid\":\"right\"===g?\"xMaxYMid\":\"xMidYMid\",viewBox:[this.fixed(-u),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[this.svg(\"g\",{transform:x},s.childNodes(t))]);e=this.svg(\"svg\",{\"data-labels\":!0,preserveAspectRatio:\"left\"===i?\"xMinYMid\":\"xMaxYMid\",viewBox:[\"left\"===i?0:this.fixed(f),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[e]),s.append(t,this.svg(\"g\",{transform:v},[b,e])),this.place(-l,0,t)},e.prototype.subTable=function(t,e,i,s){var a=this.adaptor,n=this.getBBox(),o=n.w,h=n.L,r=n.R,l=h+(this.pWidth||o)+r,d=this.getTableData().L,p=this.getAlignShift()[0],f=Math.max(l,this.container.getWrapWidth(this.containerI));this.place(\"left\"===i?(\"left\"===p?0:\"right\"===p?l-f+s:(l-f)/2+s)-h:(\"left\"===p?f:\"right\"===p?l+s:(f+l)/2+s)-h-d,0,e),a.append(t,e)},e.kind=p.MmlMtable.prototype.kind,e.styles={'g[data-mml-node=\"mtable\"] > line[data-line], svg[data-table] > g > line[data-line]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > rect[data-frame], svg[data-table] > g > rect[data-frame]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > .mjx-dashed, svg[data-table] > g > .mjx-dashed':{\"stroke-dasharray\":\"140\"},'g[data-mml-node=\"mtable\"] > .mjx-dotted, svg[data-table] > g > .mjx-dotted':{\"stroke-linecap\":\"round\",\"stroke-dasharray\":\"0,140\"},'g[data-mml-node=\"mtable\"] > g > svg':{overflow:\"visible\"}},e}(d.CommonMtableMixin(l.SVGWrapper));i.SVGmtable=f},\n      633: function _(t,e,i,n,r){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),a=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var n,r,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=o.next()).done;)s.push(n.value)}catch(t){r={error:t}}finally{try{n&&!n.done&&(i=o.return)&&i.call(o)}finally{if(r)throw r.error}}return s},h=this&&this.__spreadArray||function(t,e){for(var i=0,n=e.length,r=t.length;i<n;i++,r++)t[r]=e[i];return t},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,i=e&&t[e],n=0;if(i)return i.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.\")};n();var u=t(577),c=t(530),f=t(634);i.CommonMtableMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var n=t.apply(this,h([],a(e)))||this;n.numCols=0,n.numRows=0,n.data=null,n.pwidthCells=[],n.pWidth=0,n.numCols=f.max(n.tableRows.map((function(t){return t.numCells}))),n.numRows=n.childNodes.length,n.hasLabels=n.childNodes.reduce((function(t,e){return t||e.node.isKind(\"mlabeledtr\")}),!1),n.findContainer(),n.isTop=!n.container||n.container.node.isKind(\"math\")&&!n.container.parent,n.isTop&&(n.jax.table=n),n.getPercentageWidth();var r=n.node.attributes;return n.frame=\"none\"!==r.get(\"frame\"),n.fLine=n.frame&&r.get(\"frame\")?.07:0,n.fSpace=n.frame?n.convertLengths(n.getAttributeArray(\"framespacing\")):[0,0],n.cSpace=n.convertLengths(n.getColumnAttributes(\"columnspacing\")),n.rSpace=n.convertLengths(n.getRowAttributes(\"rowspacing\")),n.cLines=n.getColumnAttributes(\"columnlines\").map((function(t){return\"none\"===t?0:.07})),n.rLines=n.getRowAttributes(\"rowlines\").map((function(t){return\"none\"===t?0:.07})),n.cWidths=n.getColumnWidths(),n.stretchRows(),n.stretchColumns(),n}return s(e,t),Object.defineProperty(e.prototype,\"tableRows\",{get:function(){return this.childNodes},enumerable:!1,configurable:!0}),e.prototype.findContainer=function(){for(var t=this,e=t.parent;e&&(e.node.notParent||e.node.isKind(\"mrow\"));)t=e,e=e.parent;this.container=e,this.containerI=t.node.childPosition()},e.prototype.getPercentageWidth=function(){if(this.hasLabels)this.bbox.pwidth=u.BBox.fullWidth;else{var t=this.node.attributes.get(\"width\");c.isPercent(t)&&(this.bbox.pwidth=t)}},e.prototype.stretchRows=function(){for(var t=this.node.attributes.get(\"equalrows\"),e=t?this.getEqualRowHeight():0,i=t?this.getTableData():{H:[0],D:[0]},n=i.H,r=i.D,o=this.tableRows,s=0;s<this.numRows;s++){var a=t?[(e+n[s]-r[s])/2,(e-n[s]+r[s])/2]:null;o[s].stretchChildren(a)}},e.prototype.stretchColumns=function(){for(var t=0;t<this.numCols;t++){var e=\"number\"==typeof this.cWidths[t]?this.cWidths[t]:null;this.stretchColumn(t,e)}},e.prototype.stretchColumn=function(t,e){var i,n,r,o,s,a,h=[];try{for(var u=l(this.tableRows),c=u.next();!c.done;c=u.next()){if(y=c.value.getChild(t))0===(C=y.childNodes[0]).stretch.dir&&C.canStretch(2)&&h.push(C)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(n=u.return)&&n.call(u)}finally{if(i)throw i.error}}var f=h.length,p=this.childNodes.length;if(f&&p>1){if(null===e){e=0;var d=f>1&&f===p;try{for(var g=l(this.tableRows),m=g.next();!m.done;m=g.next()){var y;if(y=m.value.getChild(t)){var v=0===(C=y.childNodes[0]).stretch.dir;if(d||v){var b=C.getBBox(v).w;b>e&&(e=b)}}}}catch(t){r={error:t}}finally{try{m&&!m.done&&(o=g.return)&&o.call(g)}finally{if(r)throw r.error}}}try{for(var w=l(h),x=w.next();!x.done;x=w.next()){var C;(C=x.value).coreMO().getStretchedVariant([e])}}catch(t){s={error:t}}finally{try{x&&!x.done&&(a=w.return)&&a.call(w)}finally{if(s)throw s.error}}}},e.prototype.getTableData=function(){if(this.data)return this.data;for(var t=new Array(this.numRows).fill(0),e=new Array(this.numRows).fill(0),i=new Array(this.numCols).fill(0),n=new Array(this.numRows),r=new Array(this.numRows),o=[0],s=this.tableRows,a=0;a<s.length;a++){for(var h=0,l=s[a],u=l.node.attributes.get(\"rowalign\"),c=0;c<l.numCells;c++){var f=l.getChild(c);h=this.updateHDW(f,c,a,u,t,e,i,h),this.recordPWidthCell(f,c)}n[a]=t[a],r[a]=e[a],l.labeled&&(h=this.updateHDW(l.childNodes[0],0,a,u,t,e,o,h)),this.extendHD(a,t,e,h),this.extendHD(a,n,r,h)}var p=o[0];return this.data={H:t,D:e,W:i,NH:n,ND:r,L:p},this.data},e.prototype.updateHDW=function(t,e,i,n,r,o,s,a){var h=t.getBBox(),l=h.h,u=h.d,c=h.w,f=t.parent.bbox.rscale;1!==t.parent.bbox.rscale&&(l*=f,u*=f,c*=f),this.node.getProperty(\"useHeight\")&&(l<.75&&(l=.75),u<.25&&(u=.25));var p=0;return\"baseline\"!==(n=t.node.attributes.get(\"rowalign\")||n)&&\"axis\"!==n&&(p=l+u,l=u=0),l>r[i]&&(r[i]=l),u>o[i]&&(o[i]=u),p>a&&(a=p),s&&c>s[e]&&(s[e]=c),a},e.prototype.extendHD=function(t,e,i,n){var r=(n-(e[t]+i[t]))/2;r<1e-5||(e[t]+=r,i[t]+=r)},e.prototype.recordPWidthCell=function(t,e){t.childNodes[0]&&t.childNodes[0].getBBox().pwidth&&this.pwidthCells.push([t,e])},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i,n,r=this.getTableData(),o=r.H,s=r.D;if(this.node.attributes.get(\"equalrows\")){var h=this.getEqualRowHeight();i=f.sum([].concat(this.rLines,this.rSpace))+h*this.numRows}else i=f.sum(o.concat(s,this.rLines,this.rSpace));i+=2*(this.fLine+this.fSpace[1]);var l=this.getComputedWidths();n=f.sum(l.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]);var u=this.node.attributes.get(\"width\");\"auto\"!==u&&(n=Math.max(this.length2em(u,0)+2*this.fLine,n));var p=a(this.getBBoxHD(i),2),d=p[0],g=p[1];t.h=d,t.d=g,t.w=n;var m=a(this.getBBoxLR(),2),y=m[0],v=m[1];t.L=y,t.R=v,c.isPercent(u)||this.setColumnPWidths()},e.prototype.setChildPWidths=function(t,e,i){var n=this.node.attributes.get(\"width\");if(!c.isPercent(n))return!1;this.hasLabels||(this.bbox.pwidth=\"\",this.container.bbox.pwidth=\"\");var r=this.bbox,o=r.w,s=r.L,a=r.R,h=this.node.attributes.get(\"data-width-includes-label\"),l=Math.max(o,this.length2em(n,Math.max(e,s+o+a)))-(h?s+a:0),u=this.node.attributes.get(\"equalcolumns\")?Array(this.numCols).fill(this.percent(1/Math.max(1,this.numCols))):this.getColumnAttributes(\"columnwidth\",0);this.cWidths=this.getColumnWidthsFixed(u,l);var p=this.getComputedWidths();return this.pWidth=f.sum(p.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]),this.isTop&&(this.bbox.w=this.pWidth),this.setColumnPWidths(),this.pWidth!==o&&this.parent.invalidateBBox(),this.pWidth!==o},e.prototype.setColumnPWidths=function(){var t,e,i=this.cWidths;try{for(var n=l(this.pwidthCells),r=n.next();!r.done;r=n.next()){var o=a(r.value,2),s=o[0],h=o[1];s.setChildPWidths(!1,i[h])&&(s.invalidateBBox(),s.getBBox())}}catch(e){t={error:e}}finally{try{r&&!r.done&&(e=n.return)&&e.call(n)}finally{if(t)throw t.error}}},e.prototype.getBBoxHD=function(t){var e=a(this.getAlignmentRow(),2),i=e[0],n=e[1];if(null===n){var r=this.font.params.axis_height,o=t/2;return{top:[0,t],center:[o,o],bottom:[t,0],baseline:[o,o],axis:[o+r,o-r]}[i]||[o,o]}var s=this.getVerticalPosition(n,i);return[s,t-s]},e.prototype.getBBoxLR=function(){if(this.hasLabels){var t=this.node.attributes,e=t.get(\"side\"),i=a(this.getPadAlignShift(e),2),n=i[0],r=i[1],o=this.hasLabels&&!!t.get(\"data-width-includes-label\");return o&&this.frame&&this.fSpace[0]&&(n-=this.fSpace[0]),\"center\"!==r||o?\"left\"===e?[n,0]:[0,n]:[n,n]}return[0,0]},e.prototype.getPadAlignShift=function(t){var e=this.getTableData().L+this.length2em(this.node.attributes.get(\"minlabelspacing\")),i=a(null==this.styles?[\"\",\"\"]:[this.styles.get(\"padding-left\"),this.styles.get(\"padding-right\")],2),n=i[0],r=i[1];(n||r)&&(e=Math.max(e,this.length2em(n||\"0\"),this.length2em(r||\"0\")));var o=a(this.getAlignShift(),2),s=o[0],h=o[1];return s===t&&(h=\"left\"===t?Math.max(e,h)-e:Math.min(-e,h)+e),[e,s,h]},e.prototype.getAlignShift=function(){return this.isTop?t.prototype.getAlignShift.call(this):[this.container.getChildAlign(this.containerI),0]},e.prototype.getWidth=function(){return this.pWidth||this.getBBox().w},e.prototype.getEqualRowHeight=function(){var t=this.getTableData(),e=t.H,i=t.D,n=Array.from(e.keys()).map((function(t){return e[t]+i[t]}));return Math.max.apply(Math,n)},e.prototype.getComputedWidths=function(){var t=this,e=this.getTableData().W,i=Array.from(e.keys()).map((function(i){return\"number\"==typeof t.cWidths[i]?t.cWidths[i]:e[i]}));return this.node.attributes.get(\"equalcolumns\")&&(i=Array(i.length).fill(f.max(i))),i},e.prototype.getColumnWidths=function(){var t=this.node.attributes.get(\"width\");if(this.node.attributes.get(\"equalcolumns\"))return this.getEqualColumns(t);var e=this.getColumnAttributes(\"columnwidth\",0);return\"auto\"===t?this.getColumnWidthsAuto(e):c.isPercent(t)?this.getColumnWidthsPercent(e):this.getColumnWidthsFixed(e,this.length2em(t))},e.prototype.getEqualColumns=function(t){var e,i=Math.max(1,this.numCols);if(\"auto\"===t){var n=this.getTableData().W;e=f.max(n)}else if(c.isPercent(t))e=this.percent(1/i);else{var r=f.sum([].concat(this.cLines,this.cSpace))+2*this.fSpace[0];e=Math.max(0,this.length2em(t)-r)/i}return Array(this.numCols).fill(e)},e.prototype.getColumnWidthsAuto=function(t){var e=this;return t.map((function(t){return\"auto\"===t||\"fit\"===t?null:c.isPercent(t)?t:e.length2em(t)}))},e.prototype.getColumnWidthsPercent=function(t){var e=this,i=t.indexOf(\"fit\")>=0,n=(i?this.getTableData():{W:null}).W;return Array.from(t.keys()).map((function(r){var o=t[r];return\"fit\"===o?null:\"auto\"===o?i?n[r]:null:c.isPercent(o)?o:e.length2em(o)}))},e.prototype.getColumnWidthsFixed=function(t,e){var i=this,n=Array.from(t.keys()),r=n.filter((function(e){return\"fit\"===t[e]})),o=n.filter((function(e){return\"auto\"===t[e]})),s=r.length||o.length,a=(s?this.getTableData():{W:null}).W,h=e-f.sum([].concat(this.cLines,this.cSpace))-2*this.fSpace[0],l=h;n.forEach((function(e){var n=t[e];l-=\"fit\"===n||\"auto\"===n?a[e]:i.length2em(n,h)}));var u=s&&l>0?l/s:0;return n.map((function(e){var n=t[e];return\"fit\"===n?a[e]+u:\"auto\"===n?a[e]+(0===r.length?u:0):i.length2em(n,h)}))},e.prototype.getVerticalPosition=function(t,e){for(var i=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),r=n.H,o=n.D,s=i?this.getEqualRowHeight():0,h=this.getRowHalfSpacing(),l=this.fLine,u=0;u<t;u++)l+=h[u]+(i?s:r[u]+o[u])+h[u+1]+this.rLines[u];var c=a(i?[(s+r[t]-o[t])/2,(s-r[t]+o[t])/2]:[r[t],o[t]],2),f=c[0],p=c[1];return l+={top:0,center:h[t]+(f+p)/2,bottom:h[t]+f+p+h[t+1],baseline:h[t]+f,axis:h[t]+f-.25}[e]||0},e.prototype.getEmHalfSpacing=function(t,e,i){void 0===i&&(i=1);var n=this.em(t*i),r=this.addEm(e,2/i);return r.unshift(n),r.push(n),r},e.prototype.getRowHalfSpacing=function(){var t=this.rSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[1]),t.push(this.fSpace[1]),t},e.prototype.getColumnHalfSpacing=function(){var t=this.cSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[0]),t.push(this.fSpace[0]),t},e.prototype.getAlignmentRow=function(){var t=a(c.split(this.node.attributes.get(\"align\")),2),e=t[0],i=t[1];if(null==i)return[e,null];var n=parseInt(i);return n<0&&(n+=this.numRows+1),[e,n<1||n>this.numRows?null:n-1]},e.prototype.getColumnAttributes=function(t,e){void 0===e&&(e=1);var i=this.numCols-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getRowAttributes=function(t,e){void 0===e&&(e=1);var i=this.numRows-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getAttributeArray=function(t){var e=this.node.attributes.get(t);return e?c.split(e):[this.node.attributes.getDefault(t)]},e.prototype.addEm=function(t,e){var i=this;return void 0===e&&(e=1),t?t.map((function(t){return i.em(t/e)})):null},e.prototype.convertLengths=function(t){var e=this;return t?t.map((function(t){return e.length2em(t)})):null},e}(t)}},\n      634: function _(n,u,r,t,e){t(),r.sum=function(n){return n.reduce((function(n,u){return n+u}),0)},r.max=function(n){return n.reduce((function(n,u){return Math.max(n,u)}),0)}},\n      635: function _(t,e,r,n,i){var o,l=this&&this.__extends||(o=function(t,e){return o=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])},o(t,e)},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}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var i in e=arguments[r])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(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.\")};n();var u=t(533),c=t(530),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.properties={useHeight:!0},e.texclass=u.TEXCLASS.ORD,e}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mtable\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setInheritedAttributes=function(e,r,n,i){var o,l;try{for(var a=s(u.indentAttributes),c=a.next();!c.done;c=a.next()){var h=c.value;e[h]&&this.attributes.setInherited(h,e[h][1]),void 0!==this.attributes.getExplicit(h)&&delete this.attributes.getAllAttributes()[h]}}catch(t){o={error:t}}finally{try{c&&!c.done&&(l=a.return)&&l.call(a)}finally{if(o)throw o.error}}t.prototype.setInheritedAttributes.call(this,e,r,n,i)},e.prototype.setChildInheritedAttributes=function(t,e,r,n){var i,o,l,a;try{for(var u=s(this.childNodes),h=u.next();!h.done;h=u.next()){(b=h.value).isKind(\"mtr\")||this.replaceChild(this.factory.create(\"mtr\"),b).appendChild(b)}}catch(t){i={error:t}}finally{try{h&&!h.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}r=this.getProperty(\"scriptlevel\")||r,e=!(!this.attributes.getExplicit(\"displaystyle\")&&!this.attributes.getDefault(\"displaystyle\")),t=this.addInheritedAttributes(t,{columnalign:this.attributes.get(\"columnalign\"),rowalign:\"center\"});var f=this.attributes.getExplicit(\"data-cramped\"),p=c.split(this.attributes.get(\"rowalign\"));try{for(var d=s(this.childNodes),y=d.next();!y.done;y=d.next()){var b=y.value;t.rowalign[1]=p.shift()||t.rowalign[1],b.setInheritedAttributes(t,e,r,!!f)}}catch(t){l={error:t}}finally{try{y&&!y.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},e.prototype.verifyChildren=function(e){var r,n;if(!e.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){o.value.isKind(\"mtr\")||this.mError(\"Children of \"+this.kind+\" must be mtr or mlabeledtr\",e)}}catch(t){r={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}t.prototype.verifyChildren.call(this,e)},e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{i&&!i.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.defaults=a(a({},u.AbstractMmlNode.defaults),{align:\"axis\",rowalign:\"baseline\",columnalign:\"center\",groupalign:\"{left}\",alignmentscope:!0,columnwidth:\"auto\",width:\"auto\",rowspacing:\"1ex\",columnspacing:\".8em\",rowlines:\"none\",columnlines:\"none\",frame:\"none\",framespacing:\"0.4em 0.5ex\",equalrows:!1,equalcolumns:!1,displaystyle:!1,side:\"right\",minlabelspacing:\"0.8em\"}),e}(u.AbstractMmlNode);r.MmlMtable=h},\n      636: function _(t,e,r,i,n){var o,l=this&&this.__extends||(o=function(t,e){return o=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])},o(t,e)},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}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var i,n,o=r.call(t),l=[];try{for(;(void 0===e||e-- >0)&&!(i=o.next()).done;)l.push(i.value)}catch(t){n={error:t}}finally{try{i&&!i.done&&(r=o.return)&&r.call(o)}finally{if(n)throw n.error}}return l},s=this&&this.__spreadArray||function(t,e){for(var r=0,i=e.length,n=t.length;r<i;r++,n++)t[n]=e[r];return t};i();var p=t(574),h=t(637),c=t(637),u=t(638),f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeCells(e),this.placeColor()},e.prototype.placeCells=function(t){for(var e=this.parent.getColumnHalfSpacing(),r=s(s([this.parent.fLine],a(this.parent.cLines)),[this.parent.fLine]),i=this.parent.getComputedWidths(),n=1/this.getBBox().rscale,o=r[0],l=0;l<this.numCells;l++){var p=this.getChild(l);p.toSVG(t),o+=this.placeCell(p,{x:o,y:0,lSpace:e[l]*n,rSpace:e[l+1]*n,w:i[l]*n,lLine:r[l]*n,rLine:r[l+1]*n})}},e.prototype.placeCell=function(t,e){var r=e.x,i=e.y,n=e.lSpace,o=e.w,l=e.rSpace,s=e.lLine,p=e.rLine,h=1/this.getBBox().rscale,c=a([this.H*h,this.D*h],2),u=c[0],f=c[1],d=a([this.tSpace*h,this.bSpace*h],2),y=d[0],S=d[1],b=a(t.placeCell(r+n,i,o,u,f),2),v=b[0],C=b[1],_=n+o+l;return t.placeColor(-(v+n+s/2),-(f+S+C),_+(s+p)/2,u+f+y+S),_+p},e.prototype.placeColor=function(){var t=1/this.getBBox().rscale,e=this.adaptor,r=this.firstChild();if(r&&\"rect\"===e.kind(r)&&e.getAttribute(r,\"data-bgcolor\")){var i=a([this.tLine/2*t,this.bLine/2*t],2),n=i[0],o=i[1],l=a([this.tSpace*t,this.bSpace*t],2),s=l[0],p=l[1],h=a([this.H*t,this.D*t],2),c=h[0],u=h[1];e.setAttribute(r,\"y\",this.fixed(-(u+p+o))),e.setAttribute(r,\"width\",this.fixed(this.parent.getWidth()*t)),e.setAttribute(r,\"height\",this.fixed(n+s+c+u+p+o))}},e.kind=u.MmlMtr.prototype.kind,e}(h.CommonMtrMixin(p.SVGWrapper));r.SVGmtr=f;var d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(e){t.prototype.toSVG.call(this,e);var r=this.childNodes[0];r&&r.toSVG(this.parent.labels)},e.kind=u.MmlMlabeledtr.prototype.kind,e}(c.CommonMlabeledtrMixin(f));r.SVGmlabeledtr=d},\n      637: function _(e,t,r,n,o){var i,l=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),u=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n(),r.CommonMtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return 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x=j.getBBox(m),O=x.h,N=x.d;O>p&&(p=O),N>y&&(y=N)}}}catch(e){n={error:e}}finally{try{v&&!v.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}e=[p,y]}try{for(var _=u(c),C=_.next();!C.done;C=_.next()){var j;(j=C.value).coreMO().getStretchedVariant(e)}}catch(e){i={error:e}}finally{try{C&&!C.done&&(l=_.return)&&l.call(_)}finally{if(i)throw i.error}}}},t}(e)},r.CommonMlabeledtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return Math.max(0,this.childNodes.length-1)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"labeled\",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"tableCells\",{get:function(){return this.childNodes.slice(1)},enumerable:!1,configurable:!0}),t.prototype.getChild=function(e){return this.childNodes[e+1]},t.prototype.getChildBBoxes=function(){return this.childNodes.slice(1).map((function(e){return e.getBBox()}))},t}(e)}},\n      638: function _(t,r,e,n,i){var o,l=this&&this.__extends||(o=function(t,r){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},o(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}o(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var r,e=1,n=arguments.length;e<n;e++)for(var i in r=arguments[e])Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],n=0;if(e)return e.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(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(533),c=t(534),f=t(530),h=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),r.prototype.setChildInheritedAttributes=function(t,r,e,n){var i,o,l,a;try{for(var u=s(this.childNodes),c=u.next();!c.done;c=u.next()){(y=c.value).isKind(\"mtd\")||this.replaceChild(this.factory.create(\"mtd\"),y).appendChild(y)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}var h=f.split(this.attributes.get(\"columnalign\"));1===this.arity&&h.unshift(this.parent.attributes.get(\"side\")),t=this.addInheritedAttributes(t,{rowalign:this.attributes.get(\"rowalign\"),columnalign:\"center\"});try{for(var d=s(this.childNodes),p=d.next();!p.done;p=d.next()){var y=p.value;t.columnalign[1]=h.shift()||t.columnalign[1],y.setInheritedAttributes(t,r,e,n)}}catch(t){l={error:t}}finally{try{p&&!p.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},r.prototype.verifyChildren=function(r){var e,n;if(!this.parent||this.parent.isKind(\"mtable\")){if(!r.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){var l=o.value;if(!l.isKind(\"mtd\"))this.replaceChild(this.factory.create(\"mtr\"),l).mError(\"Children of \"+this.kind+\" must be mtd\",r,!0)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(e)throw e.error}}t.prototype.verifyChildren.call(this,r)}else this.mError(this.kind+\" can only be a child of an mtable\",r,!0)},r.prototype.setTeXclass=function(t){var r,e;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){r={error:t}}finally{try{i&&!i.done&&(e=n.return)&&e.call(n)}finally{if(r)throw r.error}}return this},r.defaults=a(a({},u.AbstractMmlNode.defaults),{rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),r}(u.AbstractMmlNode);e.MmlMtr=h;var d=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mlabeledtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),r}(h);e.MmlMlabeledtr=d},\n      639: function _(t,e,i,o,n){var r,s=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},r(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)});o();var a=t(574),u=t(640),p=t(641),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.placeCell=function(t,e,i,o,n){var r=this.getBBox(),s=Math.max(r.h,.75),a=Math.max(r.d,.25),u=this.node.attributes.get(\"columnalign\"),p=this.node.attributes.get(\"rowalign\"),c=this.getAlignX(i,r,u),l=this.getAlignY(o,n,s,a,p);return this.place(t+c,e+l),[c,l]},e.prototype.placeColor=function(t,e,i,o){var n=this.adaptor,r=this.firstChild();r&&\"rect\"===n.kind(r)&&n.getAttribute(r,\"data-bgcolor\")&&(n.setAttribute(r,\"x\",this.fixed(t)),n.setAttribute(r,\"y\",this.fixed(e)),n.setAttribute(r,\"width\",this.fixed(i)),n.setAttribute(r,\"height\",this.fixed(o)))},e.kind=p.MmlMtd.prototype.kind,e}(u.CommonMtdMixin(a.SVGWrapper));i.SVGmtd=c},\n      640: function _(t,n,o,e,r){var i,u=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});e(),o.CommonMtdMixin=function(t){return function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return u(n,t),Object.defineProperty(n.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),n.prototype.invalidateBBox=function(){this.bboxComputed=!1},n.prototype.getWrapWidth=function(t){var n=this.parent.parent,o=this.parent,e=this.node.childPosition()-(o.labeled?1:0);return\"number\"==typeof n.cWidths[e]?n.cWidths[e]:n.getTableData().W[e]},n.prototype.getChildAlign=function(t){return this.node.attributes.get(\"columnalign\")},n}(t)}},\n      641: function _(t,e,n,r,o){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new 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this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.defaults=s(s({},l.AbstractMmlBaseNode.defaults),{rowspan:1,columnspan:1,rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),e}(l.AbstractMmlBaseNode);n.MmlMtd=u},\n      642: function _(t,e,o,n,i){var a,s=this&&this.__extends||(a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},a(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)});n();var r=t(574),l=t(643),d=t(643),p=t(644),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t),o=this.selected,n=o.getBBox(),i=n.h,a=n.d,s=n.w;this.adaptor.append(this.element,this.svg(\"rect\",{width:this.fixed(s),height:this.fixed(i+a),y:this.fixed(-a),fill:\"none\",\"pointer-events\":\"all\"})),o.toSVG(e),this.action(this,this.data)},e.prototype.setEventHandler=function(t,e){this.element.addEventListener(t,e)},e.kind=p.MmlMaction.prototype.kind,e.styles={'[jax=\"SVG\"] mjx-tool':{display:\"inline-block\",position:\"relative\",width:0,height:0},'[jax=\"SVG\"] mjx-tool > mjx-tip':{position:\"absolute\",top:0,left:0},\"mjx-tool > mjx-tip\":{display:\"inline-block\",padding:\".2em\",border:\"1px solid #888\",\"font-size\":\"70%\",\"background-color\":\"#F8F8F8\",color:\"black\",\"box-shadow\":\"2px 2px 5px #AAAAAA\"},'g[data-mml-node=\"maction\"][data-toggle]':{cursor:\"pointer\"},\"mjx-status\":{display:\"block\",position:\"fixed\",left:\"1em\",bottom:\"1em\",\"min-width\":\"25%\",padding:\".2em .4em\",border:\"1px solid #888\",\"font-size\":\"90%\",\"background-color\":\"#F8F8F8\",color:\"black\"}},e.actions=new Map([[\"toggle\",[function(t,e){t.adaptor.setAttribute(t.element,\"data-toggle\",t.node.attributes.get(\"selection\"));var o=t.factory.jax.math,n=t.factory.jax.document,i=t.node;t.setEventHandler(\"click\",(function(t){o.end.node||(o.start.node=o.end.node=o.typesetRoot,o.start.n=o.end.n=0),i.nextToggleSelection(),o.rerender(n),t.stopPropagation()}))},{}]],[\"tooltip\",[function(t,e){var o=t.childNodes[1];if(o){var n=t.firstChild();if(o.node.isKind(\"mtext\")){var i=o.node.getText();t.adaptor.insert(t.svg(\"title\",{},[t.text(i)]),n)}else{var a=t.adaptor,s=t.jax.container,r=t.node.factory.create(\"math\",{},[t.childNodes[1].node]),l=t.html(\"mjx-tool\",{},[t.html(\"mjx-tip\")]),d=a.append(n,t.svg(\"foreignObject\",{style:{display:\"none\"}},[l]));t.jax.processMath(r,a.firstChild(l)),t.childNodes[1].node.parent=t.node,t.setEventHandler(\"mouseover\",(function(o){e.stopTimers(t,e),e.hoverTimer.set(t,setTimeout((function(){a.setStyle(l,\"left\",\"0\"),a.setStyle(l,\"top\",\"0\"),a.append(s,l);var e=a.nodeBBox(l),o=a.nodeBBox(t.element),n=(o.right-e.left)/t.metrics.em+t.dx,i=(o.bottom-e.bottom)/t.metrics.em+t.dy;a.setStyle(l,\"left\",t.px(n)),a.setStyle(l,\"top\",t.px(i))}),e.postDelay)),o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(o){e.stopTimers(t,e);var n=setTimeout((function(){return a.append(d,l)}),e.clearDelay);e.clearTimer.set(t,n),o.stopPropagation()}))}}},d.TooltipData]],[\"statusline\",[function(t,e){var o=t.childNodes[1];if(o&&o.node.isKind(\"mtext\")){var n=t.adaptor,i=o.node.getText();n.setAttribute(t.element,\"data-statusline\",i),t.setEventHandler(\"mouseover\",(function(o){if(null===e.status){var a=n.body(n.document);e.status=n.append(a,t.html(\"mjx-status\",{},[t.text(i)]))}o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(t){e.status&&(n.remove(e.status),e.status=null),t.stopPropagation()}))}},{status:null}]]]),e}(l.CommonMactionMixin(r.SVGWrapper));o.SVGmaction=c},\n      643: function _(t,e,r,o,n){var i,a=this&&this.__extends||(i=function(t,e){return i=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])},i(t,e)},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}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return a},c=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var l=t(530);r.TooltipData={dx:\".2em\",dy:\".1em\",postDelay:600,clearDelay:100,hoverTimer:new Map,clearTimer:new Map,stopTimers:function(t,e){e.clearTimer.has(t)&&(clearTimeout(e.clearTimer.get(t)),e.clearTimer.delete(t)),e.hoverTimer.has(t)&&(clearTimeout(e.hoverTimer.get(t)),e.hoverTimer.delete(t))}},r.CommonMactionMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,c([],s(e)))||this,n=o.constructor.actions,i=o.node.attributes.get(\"actiontype\"),a=s(n.get(i)||[function(t,e){},{}],2),l=a[0],u=a[1];return o.action=l,o.data=u,o.getParameters(),o}return a(e,t),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.node.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.wrap(this.node.selected)},enumerable:!1,configurable:!0}),e.prototype.getParameters=function(){var t=this.node.attributes.get(\"data-offsets\"),e=s(l.split(t||\"\"),2),o=e[0],n=e[1];this.dx=this.length2em(o||r.TooltipData.dx),this.dy=this.length2em(n||r.TooltipData.dy)},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.updateFrom(this.selected.getBBox()),this.selected.setChildPWidths(e)},e}(t)}},\n      644: function _(t,e,o,r,i){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,o=1,r=arguments.length;o<r;o++)for(var i in e=arguments[o])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},c.apply(this,arguments)};r();var l=t(533),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"maction\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.factory.create(\"mrow\")},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isEmbellished\",{get:function(){return this.selected.isEmbellished},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isSpacelike\",{get:function(){return this.selected.isSpacelike},enumerable:!1,configurable:!0}),e.prototype.core=function(){return this.selected.core()},e.prototype.coreMO=function(){return this.selected.coreMO()},e.prototype.verifyAttributes=function(e){(t.prototype.verifyAttributes.call(this,e),\"toggle\"!==this.attributes.get(\"actiontype\")&&void 0!==this.attributes.getExplicit(\"selection\"))&&delete this.attributes.getAllAttributes().selection},e.prototype.setTeXclass=function(t){\"tooltip\"===this.attributes.get(\"actiontype\")&&this.childNodes[1]&&this.childNodes[1].setTeXclass(null);var e=this.selected;return t=e.setTeXclass(t),this.updateTeXclass(e),t},e.prototype.nextToggleSelection=function(){var t=Math.max(1,this.attributes.get(\"selection\")+1);t>this.childNodes.length&&(t=1),this.attributes.set(\"selection\",t)},e.defaults=c(c({},l.AbstractMmlNode.defaults),{actiontype:\"toggle\",selection:1}),e}(l.AbstractMmlNode);o.MmlMaction=u},\n      645: function _(t,r,e,o,n){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 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l=h.value,f=this.notations[l];!f.renderChild&&f.renderer(this,o)}}catch(t){r={error:t}}finally{try{h&&!h.done&&(e=d.return)&&e.call(d)}finally{if(r)throw r.error}}},r.prototype.arrow=function(t,r,e,o,n){void 0===o&&(o=\"\"),void 0===n&&(n=0);var i=this.getBBox(),s=i.w,a=(t-s)/2,h=(i.h-i.d)/2,l=this.thickness,f=l/2,u=d([l*this.arrowhead.x,l*this.arrowhead.y,l*this.arrowhead.dx],3),p=u[0],c=u[1],x=u[2],g=e?this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",p-a,h+f,\"l\",x,c-f,\"l\",-(p+x),-c,\"l\",p+x,-c,\"l\",-x,c-f,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"):this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",-a,h+f,\"l\",0,-l,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"),v=[];if(n&&v.push(\"X\"===o?\"translate(\"+this.fixed(-n)+\" 0)\":\"translate(0 \"+this.fixed(n)+\")\"),r){var w=this.jax.fixed(180*-r/Math.PI);v.push(\"rotate(\"+w+\" \"+this.fixed(s/2)+\" \"+this.fixed(h)+\")\")}return v.length&&this.adaptor.setAttribute(g,\"transform\",v.join(\" \")),g},r.prototype.line=function(t){var r=d(t,4),e=r[0],o=r[1],n=r[2],i=r[3];return this.svg(\"line\",{x1:this.fixed(e),y1:this.fixed(o),x2:this.fixed(n),y2:this.fixed(i),\"stroke-width\":this.fixed(this.thickness)})},r.prototype.box=function(t,r,e,o){void 0===o&&(o=0);var n=this.thickness,i={x:this.fixed(n/2),y:this.fixed(n/2-e),width:this.fixed(t-n),height:this.fixed(r+e-n),fill:\"none\",\"stroke-width\":this.fixed(n)};return o&&(i.rx=this.fixed(o)),this.svg(\"rect\",i)},r.prototype.ellipse=function(t,r,e){var o=this.thickness;return this.svg(\"ellipse\",{rx:this.fixed((t-o)/2),ry:this.fixed((r+e-o)/2),cx:this.fixed(t/2),cy:this.fixed((r-e)/2),fill:\"none\",\"stroke-width\":this.fixed(o)})},r.prototype.path=function(t){for(var r=this,e=[],o=1;o<arguments.length;o++)e[o-1]=arguments[o];return this.svg(\"path\",{d:e.map((function(t){return\"string\"==typeof t?t:r.fixed(t)})).join(\" 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bottom\"}],[\"roundedbox\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness+t.padding;t.adaptor.append(t.element,t.box(o,n,i,s))},bbox:f.fullBBox}],[\"circle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d;t.adaptor.append(t.element,t.ellipse(o,n,i))},bbox:f.fullBBox}],[\"phasorangle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.getArgMod(1.75*t.padding,n+i)[0],a=t.thickness/2,d=n+i,h=Math.cos(s);t.adaptor.append(t.element,t.path(\"mitre\",\"M\",o,a-i,\"L\",a+h*a,a-i,\"L\",h*d+a,d-i-a))},bbox:function(t){var r=t.padding/2,e=t.thickness;return[2*r,r,r+e,3*r+e]},border:function(t){return[0,0,t.thickness,0]},remove:\"bottom\"}],f.Arrow(\"up\"),f.Arrow(\"down\"),f.Arrow(\"left\"),f.Arrow(\"right\"),f.Arrow(\"updown\"),f.Arrow(\"leftright\"),f.DiagonalArrow(\"updiagonal\"),f.DiagonalArrow(\"northeast\"),f.DiagonalArrow(\"southeast\"),f.DiagonalArrow(\"northwest\"),f.DiagonalArrow(\"southwest\"),f.DiagonalArrow(\"northeastsouthwest\"),f.DiagonalArrow(\"northwestsoutheast\"),[\"longdiv\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness/2,a=t.padding;t.adaptor.append(t.element,t.path(\"round\",\"M\",s,s-i,\"a\",a-s/2,(n+i)/2-4*s,0,\"0,1\",0,n+i-2*s,\"L\",o-s,n-s))},bbox:function(t){var r=t.padding,e=t.thickness;return[r+e,r,r,2*r+e/2]}}],[\"radical\",{renderer:function(t,r){t.msqrt.toSVG(r);var e=t.sqrtTRBL()[3];t.place(-e,0,r)},init:function(t){t.msqrt=t.createMsqrt(t.childNodes[0])},bbox:function(t){return t.sqrtTRBL()},renderChild:!0}]]),r}(l.CommonMencloseMixin(h.SVGWrapper));e.SVGmenclose=p},\n      646: function _(t,r,e,o,n){var i,a=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),s=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var o,n,i=e.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(e=i.return)&&e.call(i)}finally{if(n)throw n.error}}return a},h=this&&this.__spreadArray||function(t,r){for(var e=0,o=r.length,n=t.length;e<o;e++,n++)t[n]=r[e];return t},l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var d=t(647),c=t(530);e.CommonMencloseMixin=function(t){return function(t){function r(){for(var r=[],e=0;e<arguments.length;e++)r[e]=arguments[e];var o=t.apply(this,h([],s(r)))||this;return o.notations={},o.renderChild=null,o.msqrt=null,o.padding=d.PADDING,o.thickness=d.THICKNESS,o.arrowhead={x:d.ARROWX,y:d.ARROWY,dx:d.ARROWDX},o.TRBL=[0,0,0,0],o.getParameters(),o.getNotations(),o.removeRedundantNotations(),o.initializeNotations(),o.TRBL=o.getBBoxExtenders(),o}return a(r,t),r.prototype.getParameters=function(){var t=this.node.attributes,r=t.get(\"data-padding\");void 0!==r&&(this.padding=this.length2em(r,d.PADDING));var e=t.get(\"data-thickness\");void 0!==e&&(this.thickness=this.length2em(e,d.THICKNESS));var o=t.get(\"data-arrowhead\");if(void 0!==o){var n=s(c.split(o),3),i=n[0],a=n[1],h=n[2];this.arrowhead={x:i?parseFloat(i):d.ARROWX,y:a?parseFloat(a):d.ARROWY,dx:h?parseFloat(h):d.ARROWDX}}},r.prototype.getNotations=function(){var t,r,e=this.constructor.notations;try{for(var o=l(c.split(this.node.attributes.get(\"notation\"))),n=o.next();!n.done;n=o.next()){var i=n.value,a=e.get(i);a&&(this.notations[i]=a,a.renderChild&&(this.renderChild=a.renderer))}}catch(r){t={error:r}}finally{try{n&&!n.done&&(r=o.return)&&r.call(o)}finally{if(t)throw t.error}}},r.prototype.removeRedundantNotations=function(){var t,r,e,o;try{for(var n=l(Object.keys(this.notations)),i=n.next();!i.done;i=n.next()){var a=i.value;if(this.notations[a]){var s=this.notations[a].remove||\"\";try{for(var h=(e=void 0,l(s.split(/ /))),d=h.next();!d.done;d=h.next()){var c=d.value;delete 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t=s([this.padding,this.thickness],2),r=t[0],e=t[1]*(this.arrowhead.x+Math.max(1,this.arrowhead.dx)),o=this.childNodes[0].getBBox(),n=o.h,i=o.d,a=o.w,h=n+i,l=Math.sqrt(h*h+a*a),d=Math.max(r,e*a/l),c=Math.max(r,e*h/l),u=s(this.getArgMod(a+2*d,h+2*c),2);return{a:u[0],W:u[1],x:d,y:c}},r.prototype.arrowAW=function(){var t=this.childNodes[0].getBBox(),r=t.h,e=t.d,o=t.w,n=s(this.TRBL,4),i=n[0],a=n[1],h=n[2],l=n[3];return this.getArgMod(l+o+a,i+r+e+h)},r.prototype.createMsqrt=function(t){var r=this.node.factory.create(\"msqrt\");r.inheritAttributesFrom(this.node),r.childNodes[0]=t.node;var e=this.wrap(r);return e.parent=this,e},r.prototype.sqrtTRBL=function(){var t=this.msqrt.getBBox(),r=this.msqrt.childNodes[0].getBBox();return[t.h-r.h,0,t.d-r.d,t.w-r.w]},r}(t)}},\n      647: function _(r,o,n,t,a){var e=this&&this.__read||function(r,o){var n=\"function\"==typeof Symbol&&r[Symbol.iterator];if(!n)return r;var t,a,e=n.call(r),i=[];try{for(;(void 0===o||o-- 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o},n.arrowDef={up:[-Math.PI/2,!1,!0,\"verticalstrike\"],down:[Math.PI/2,!1,!0,\"verticakstrike\"],right:[0,!1,!1,\"horizontalstrike\"],left:[Math.PI,!1,!1,\"horizontalstrike\"],updown:[Math.PI/2,!0,!0,\"verticalstrike uparrow downarrow\"],leftright:[0,!0,!1,\"horizontalstrike leftarrow rightarrow\"]},n.diagonalArrowDef={updiagonal:[-1,0,!1,\"updiagonalstrike northeastarrow\"],northeast:[-1,0,!1,\"updiagonalstrike updiagonalarrow\"],southeast:[1,0,!1,\"downdiagonalstrike\"],northwest:[1,Math.PI,!1,\"downdiagonalstrike\"],southwest:[-1,Math.PI,!1,\"updiagonalstrike\"],northeastsouthwest:[-1,0,!0,\"updiagonalstrike northeastarrow updiagonalarrow southwestarrow\"],northwestsoutheast:[1,0,!0,\"downdiagonalstrike northwestarrow southeastarrow\"]},n.arrowBBox={up:function(r){return n.arrowBBoxW(r,[n.arrowHead(r),0,r.padding,0])},down:function(r){return n.arrowBBoxW(r,[r.padding,0,n.arrowHead(r),0])},right:function(r){return 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r)Object.prototype.hasOwnProperty.call(r,n)&&(t[n]=r[n])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}),l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,n=r&&t[r],e=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},s=this&&this.__read||function(t,r){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var e,o,i=n.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(e=i.next()).done;)a.push(e.value)}catch(t){o={error:t}}finally{try{e&&!e.done&&(n=i.return)&&n.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__spreadArray||function(t,r){for(var n=0,e=r.length,o=t.length;n<e;n++,o++)t[o]=r[n];return t};e();var f=function(){function t(){this.bits=0}return t.allocate=function(){for(var r,n,e=[],o=0;o<arguments.length;o++)e[o]=arguments[o];try{for(var i=l(e),a=i.next();!a.done;a=i.next()){var s=a.value;if(this.has(s))throw new Error(\"Bit already allocated for \"+s);if(this.next===t.MAXBIT)throw new Error(\"Maximum number of bits already allocated\");this.names.set(s,this.next),this.next<<=1}}catch(t){r={error:t}}finally{try{a&&!a.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}},t.has=function(t){return this.names.has(t)},t.prototype.set=function(t){this.bits|=this.getBit(t)},t.prototype.clear=function(t){this.bits&=~this.getBit(t)},t.prototype.isSet=function(t){return!!(this.bits&this.getBit(t))},t.prototype.reset=function(){this.bits=0},t.prototype.getBit=function(t){var r=this.constructor.names.get(t);if(!r)throw new Error(\"Unknown bit-field name: \"+t);return r},t.MAXBIT=1<<31,t.next=1,t.names=new 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t},s.apply(this,arguments)},l=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)a.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__values||function(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.\")};n();var h=t(720),c=t(526),d=t(732),p=t(733),f=t(734),y=t(531),m=function(t){function e(e,r,n){var o=this,i=l(c.separateOptions(n,f.HTMLDomStrings.OPTIONS),2),a=i[0],s=i[1];return(o=t.call(this,e,r,a)||this).domStrings=o.options.DomStrings||new f.HTMLDomStrings(s),o.domStrings.adaptor=r,o.styles=[],o}return a(e,t),e.prototype.findPosition=function(t,e,r,n){var o,i,a=this.adaptor;try{for(var s=u(n[t]),h=s.next();!h.done;h=s.next()){var c=h.value,d=l(c,2),p=d[0],f=d[1];if(e<=f&&\"#text\"===a.kind(p))return{node:p,n:Math.max(e,0),delim:r};e-=f}}catch(t){o={error:t}}finally{try{h&&!h.done&&(i=s.return)&&i.call(s)}finally{if(o)throw o.error}}return{node:null,n:0,delim:r}},e.prototype.mathItem=function(t,e,r){var n=t.math,o=this.findPosition(t.n,t.start.n,t.open,r),i=this.findPosition(t.n,t.end.n,t.close,r);return new this.options.MathItem(n,e,t.display,o,i)},e.prototype.findMath=function(t){var e,r,n,o,i,a,s,h,d;if(!this.processed.isSet(\"findMath\")){this.adaptor.document=this.document,t=c.userOptions({elements:this.options.elements||[this.adaptor.body(this.document)]},t);try{for(var p=u(this.adaptor.getElements(t.elements,this.document)),f=p.next();!f.done;f=p.next()){var y=f.value,m=l([null,null],2),v=m[0],S=m[1];try{for(var g=(n=void 0,u(this.inputJax)),x=g.next();!x.done;x=g.next()){var M=x.value,T=new this.options.MathList;if(M.processStrings){null===v&&(v=(i=l(this.domStrings.find(y),2))[0],S=i[1]);try{for(var b=(a=void 0,u(M.findMath(v))),w=b.next();!w.done;w=b.next()){var O=w.value;T.push(this.mathItem(O,M,S))}}catch(t){a={error:t}}finally{try{w&&!w.done&&(s=b.return)&&s.call(b)}finally{if(a)throw a.error}}}else try{for(var D=(h=void 0,u(M.findMath(y))),E=D.next();!E.done;E=D.next()){O=E.value;var _=new this.options.MathItem(O.math,M,O.display,O.start,O.end);T.push(_)}}catch(t){h={error:t}}finally{try{E&&!E.done&&(d=D.return)&&d.call(D)}finally{if(h)throw h.error}}this.math.merge(T)}}catch(t){n={error:t}}finally{try{x&&!x.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}}}catch(t){e={error:t}}finally{try{f&&!f.done&&(r=p.return)&&r.call(p)}finally{if(e)throw e.error}}this.processed.set(\"findMath\")}return this},e.prototype.updateDocument=function(){return this.processed.isSet(\"updateDocument\")||(this.addPageElements(),this.addStyleSheet(),t.prototype.updateDocument.call(this),this.processed.set(\"updateDocument\")),this},e.prototype.addPageElements=function(){var t=this.adaptor.body(this.document),e=this.documentPageElements();e&&this.adaptor.append(t,e)},e.prototype.addStyleSheet=function(){var t=this.documentStyleSheet(),e=this.adaptor;if(t&&!e.parent(t)){var r=e.head(this.document),n=this.findSheet(r,e.getAttribute(t,\"id\"));n?e.replace(t,n):e.append(r,t)}},e.prototype.findSheet=function(t,e){var r,n;if(e)try{for(var o=u(this.adaptor.tags(t,\"style\")),i=o.next();!i.done;i=o.next()){var a=i.value;if(this.adaptor.getAttribute(a,\"id\")===e)return a}}catch(t){r={error:t}}finally{try{i&&!i.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}return null},e.prototype.removeFromDocument=function(t){var e,r;if(void 0===t&&(t=!1),this.processed.isSet(\"updateDocument\"))try{for(var n=u(this.math),o=n.next();!o.done;o=n.next()){var 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e=this.start.node;if(e===this.end.node)this.end.n&&this.end.n<this.adaptor.value(this.end.node).length&&this.adaptor.split(this.end.node,this.end.n),this.start.n&&(e=this.adaptor.split(this.start.node,this.start.n)),this.adaptor.replace(this.typesetRoot,e);else{for(this.start.n&&(e=this.adaptor.split(e,this.start.n));e!==this.end.node;){var n=this.adaptor.next(e);this.adaptor.remove(e),e=n}this.adaptor.insert(this.typesetRoot,e),this.end.n<this.adaptor.value(e).length&&this.adaptor.split(e,this.end.n),this.adaptor.remove(e)}}else this.adaptor.replace(this.typesetRoot,this.start.node);this.start.node=this.end.node=this.typesetRoot,this.start.n=this.end.n=0,this.state(a.STATE.INSERTED)}},e.prototype.updateStyleSheet=function(t){t.addStyleSheet()},e.prototype.removeFromDocument=function(t){if(void 0===t&&(t=!1),this.state()>=a.STATE.TYPESET){var e=this.adaptor,n=this.start.node,s=e.text(\"\");if(t){var 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i=this.adaptor.getAttribute(t,\"class\")||\"\",n=this.adaptor.kind(t)||\"\",r=this.processHtmlClass.exec(i),e=t;return!this.adaptor.firstChild(t)||this.adaptor.getAttribute(t,\"data-MJX\")||!r&&this.skipHtmlTags.exec(n)?e=this.adaptor.next(t):(this.adaptor.next(t)&&this.stack.push([this.adaptor.next(t),s]),e=this.adaptor.firstChild(t),s=(s||this.ignoreHtmlClass.exec(i))&&!r),[e,s]},t.prototype.handleOther=function(t,s){return this.pushString(),this.adaptor.next(t)},t.prototype.find=function(t){var s,i;this.init();for(var n=this.adaptor.next(t),r=!1,o=this.options.includeHtmlTags;t&&t!==n;){var a=this.adaptor.kind(t);\"#text\"===a?t=this.handleText(t,r):o.hasOwnProperty(a)?t=this.handleTag(t,r):a?(t=(s=e(this.handleContainer(t,r),2))[0],r=s[1]):t=this.handleOther(t,r),!t&&this.stack.length&&(this.pushString(),t=(i=e(this.stack.pop(),2))[0],r=i[1])}this.pushString();var h=[this.strings,this.nodes];return this.init(),h},t.OPTIONS={skipHtmlTags:[\"script\",\"noscript\",\"style\",\"textarea\",\"pre\",\"code\",\"annotation\",\"annotation-xml\"],includeHtmlTags:{br:\"\\n\",wbr:\"\",\"#comment\":\"\"},ignoreHtmlClass:\"mathjax_ignore\",processHtmlClass:\"mathjax_process\"},t}();i.HTMLDomStrings=a},\n      735: function _(e,t,o,x,a){x(),e(553),e(736),e(737),e(741),e(744),e(745),e(746),e(750),e(755),e(757),e(759),e(760),e(764),e(765),e(766),e(770),e(756),e(771),e(774),e(775),e(777),e(783),e(772),e(785),e(786),e(787),e(791),e(792),e(793),e(797),e(799),e(800),e(801),\"undefined\"!=typeof MathJax&&MathJax.loader&&MathJax.loader.preLoad(\"[tex]/action\",\"[tex]/ams\",\"[tex]/amscd\",\"[tex]/bbox\",\"[tex]/boldsymbol\",\"[tex]/braket\",\"[tex]/bussproofs\",\"[tex]/cancel\",\"[tex]/cases\",\"[tex]/centernot\",\"[tex]/color\",\"[tex]/colorv2\",\"[tex]/colortbl\",\"[tex]/empheq\",\"[tex]/enclose\",\"[tex]/extpfeil\",\"[tex]/gensymb\",\"[tex]/html\",\"[tex]/mathtools\",\"[tex]/mhchem\",\"[tex]/newcommand\",\"[tex]/noerrors\",\"[tex]/noundefined\",\"[tex]/physics\",\"[tex]/upgreek\",\"[tex]/unicode\",\"[tex]/verb\",\"[tex]/configmacros\",\"[tex]/tagformat\",\"[tex]/textcomp\",\"[tex]/textmacros\",\"[tex]/setoptions\"),o.AllPackages=[\"base\",\"action\",\"ams\",\"amscd\",\"bbox\",\"boldsymbol\",\"braket\",\"bussproofs\",\"cancel\",\"cases\",\"centernot\",\"color\",\"colortbl\",\"empheq\",\"enclose\",\"extpfeil\",\"gensymb\",\"html\",\"mathtools\",\"mhchem\",\"newcommand\",\"noerrors\",\"noundefined\",\"upgreek\",\"unicode\",\"verb\",\"configmacros\",\"tagformat\",\"textcomp\",\"textmacros\"]},\n      736: function _(t,o,a,n,e){n();var i=t(551),c=t(539),r=t(554),g=t(559);a.ActionMethods={},a.ActionMethods.Macro=g.default.Macro,a.ActionMethods.Toggle=function(t,o){for(var a,n=[];\"\\\\endtoggle\"!==(a=t.GetArgument(o));)n.push(new c.default(a,t.stack.env,t.configuration).mml());t.Push(t.create(\"node\",\"maction\",n,{actiontype:\"toggle\"}))},a.ActionMethods.Mathtip=function(t,o){var a=t.ParseArg(o),n=t.ParseArg(o);t.Push(t.create(\"node\",\"maction\",[a,n],{actiontype:\"tooltip\"}))},new r.CommandMap(\"action-macros\",{toggle:\"Toggle\",mathtip:\"Mathtip\",texttip:[\"Macro\",\"\\\\mathtip{#1}{\\\\text{#2}}\",2]},a.ActionMethods),a.ActionConfiguration=i.Configuration.create(\"action\",{handler:{macro:[\"action-macros\"]}})},\n      737: function _(t,n,o,i,e){var r,a,s=this&&this.__extends||(r=function(t,n){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},r(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}r(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});i();var l=t(551),m=t(738),p=t(550),u=t(739);t(740);var c=t(554),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n}(p.AbstractTags);o.AmsTags=h;o.AmsConfiguration=l.Configuration.create(\"ams\",{handler:{delimiter:[\"AMSsymbols-delimiter\",\"AMSmath-delimiter\"],macro:[\"AMSsymbols-mathchar0mi\",\"AMSsymbols-mathchar0mo\",\"AMSsymbols-delimiter\",\"AMSsymbols-macros\",\"AMSmath-mathchar0mo\",\"AMSmath-macros\",\"AMSmath-delimiter\"],environment:[\"AMSmath-environment\"]},items:(a={},a[m.MultlineItem.prototype.kind]=m.MultlineItem,a[m.FlalignItem.prototype.kind]=m.FlalignItem,a),tags:{ams:h},init:function(t){new c.CommandMap(u.NEW_OPS,{},{}),t.append(l.Configuration.local({handler:{macro:[u.NEW_OPS]},priority:-1}))},config:function(t,n){n.parseOptions.options.multlineWidth&&(n.parseOptions.options.ams.multlineWidth=n.parseOptions.options.multlineWidth),delete n.parseOptions.options.multlineWidth},options:{multlineWidth:\"\",ams:{multlineWidth:\"100%\",multlineIndent:\"1em\"}}})},\n      738: function _(t,e,n,r,i){var o,a=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),l=this&&this.__assign||function(){return l=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var i in e=arguments[n])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},l.apply(this,arguments)};r();var s=t(556),h=t(540),u=t(536),d=t(541),c=t(558),f=function(t){function e(e){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];var i=t.call(this,e)||this;return i.factory.configuration.tags.start(\"multline\",!0,n[0]),i}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"multline\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.table.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.getProperty(\"shove\"),e=this.create(\"node\",\"mtd\",this.nodes,t?{columnalign:t}:{});this.setProperty(\"shove\",null),this.row.push(e),this.Clear()},e.prototype.EndRow=function(){if(1!==this.row.length)throw new d.default(\"MultlineRowsOneCol\",\"The rows within the %1 environment must have exactly one column\",\"multline\");var t=this.create(\"node\",\"mtr\",this.row);this.table.push(t),this.row=[]},e.prototype.EndTable=function(){if(t.prototype.EndTable.call(this),this.table.length){var e=this.table.length-1,n=-1;u.default.getAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\",c.TexConstant.Align.LEFT),u.default.getAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\",c.TexConstant.Align.RIGHT);var r=this.factory.configuration.tags.getTag();if(r){n=this.arraydef.side===c.TexConstant.Align.LEFT?0:this.table.length-1;var i=this.table[n],o=this.create(\"node\",\"mlabeledtr\",[r].concat(u.default.getChildren(i)));u.default.copyAttributes(i,o),this.table[n]=o}}this.factory.configuration.tags.end()},e}(s.ArrayItem);n.MultlineItem=f;var p=function(t){function e(e,n,r,i,o){var a=t.call(this,e)||this;return a.name=n,a.numbered=r,a.padded=i,a.center=o,a.factory.configuration.tags.start(n,r,r),a}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"flalign\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){t.prototype.EndEntry.call(this);var e=this.getProperty(\"xalignat\");if(e&&this.row.length>e)throw new d.default(\"XalignOverflow\",\"Extra %1 in row of %2\",\"&\",this.name)},e.prototype.EndRow=function(){for(var e,n=this.row,r=this.getProperty(\"xalignat\");n.length<r;)n.push(this.create(\"node\",\"mtd\"));for(this.row=[],this.padded&&this.row.push(this.create(\"node\",\"mtd\"));e=n.shift();)this.row.push(e),(e=n.shift())&&this.row.push(e),(n.length||this.padded)&&this.row.push(this.create(\"node\",\"mtd\"));this.row.length>this.maxrow&&(this.maxrow=this.row.length),t.prototype.EndRow.call(this);var i=this.table[this.table.length-1];if(this.getProperty(\"zeroWidthLabel\")&&i.isKind(\"mlabeledtr\")){var o=u.default.getChildren(i)[0],a=this.factory.configuration.options.tagSide,s=l({width:0},\"right\"===a?{lspace:\"-1width\"}:{}),h=this.create(\"node\",\"mpadded\",u.default.getChildren(o),s);o.setChildren([h])}},e.prototype.EndTable=function(){(t.prototype.EndTable.call(this),this.center)&&(this.maxrow<=2&&(delete this.arraydef.width,delete this.global.indentalign))},e}(s.EqnArrayItem);n.FlalignItem=p},\n      739: function _(e,t,a,n,r){n();var i=e(540),s=e(536),l=e(558),o=e(539),d=e(541),m=e(555),u=e(559),c=e(533);a.AmsMethods={},a.AmsMethods.AmsEqnArray=function(e,t,a,n,r,s,l){var o=e.GetBrackets(\"\\\\begin{\"+t.getName()+\"}\"),d=u.default.EqnArray(e,t,a,n,r,s,l);return i.default.setArrayAlign(d,o)},a.AmsMethods.AlignAt=function(e,t,n,r){var s,l,o=t.getName(),m=\"\",u=[];if(r||(l=e.GetBrackets(\"\\\\begin{\"+o+\"}\")),(s=e.GetArgument(\"\\\\begin{\"+o+\"}\")).match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+o+\"}\");for(var c=parseInt(s,10);c>0;)m+=\"rl\",u.push(\"0em 0em\"),c--;var f=u.join(\" \");if(r)return a.AmsMethods.EqnArray(e,t,n,r,m,f);var g=a.AmsMethods.EqnArray(e,t,n,r,m,f);return i.default.setArrayAlign(g,l)},a.AmsMethods.Multline=function(e,t,a){e.Push(t),i.default.checkEqnEnv(e);var n=e.itemFactory.create(\"multline\",a,e.stack);return n.arraydef={displaystyle:!0,rowspacing:\".5em\",columnspacing:\"100%\",width:e.options.ams.multlineWidth,side:e.options.tagSide,minlabelspacing:e.options.tagIndent,framespacing:e.options.ams.multlineIndent+\" 0\",frame:\"\",\"data-width-includes-label\":!0},n},a.AmsMethods.XalignAt=function(e,t,n,r){var i=e.GetArgument(\"\\\\begin{\"+t.getName()+\"}\");if(i.match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+t.getName()+\"}\");var s=r?\"crl\":\"rlc\",l=r?\"fit auto auto\":\"auto auto fit\",o=a.AmsMethods.FlalignArray(e,t,n,r,!1,s,l,!0);return o.setProperty(\"xalignat\",2*parseInt(i)),o},a.AmsMethods.FlalignArray=function(e,t,a,n,r,s,l,o){void 0===o&&(o=!1),e.Push(t),i.default.checkEqnEnv(e),s=s.split(\"\").join(\" \").replace(/r/g,\"right\").replace(/l/g,\"left\").replace(/c/g,\"center\");var d=e.itemFactory.create(\"flalign\",t.getName(),a,n,r,e.stack);return d.arraydef={width:\"100%\",displaystyle:!0,columnalign:s,columnspacing:\"0em\",columnwidth:l,rowspacing:\"3pt\",side:e.options.tagSide,minlabelspacing:o?\"0\":e.options.tagIndent,\"data-width-includes-label\":!0},d.setProperty(\"zeroWidthLabel\",o),d},a.NEW_OPS=\"ams-declare-ops\",a.AmsMethods.HandleDeclareOp=function(e,t){var n=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",r=i.default.trimSpaces(e.GetArgument(t));\"\\\\\"===r.charAt(0)&&(r=r.substr(1));var s=e.GetArgument(t);s.match(/\\\\text/)||(s=s.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.configuration.handlers.retrieve(a.NEW_OPS).add(r,new m.Macro(r,a.AmsMethods.Macro,[\"\\\\mathop{\\\\rm \"+s+\"}\"+n]))},a.AmsMethods.HandleOperatorName=function(e,t){var a=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",n=i.default.trimSpaces(e.GetArgument(t));n.match(/\\\\text/)||(n=n.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.string=\"\\\\mathop{\\\\rm \"+n+\"}\"+a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.SkipLimits=function(e,t){var a=e.GetNext(),n=e.i;\"\\\\\"===a&&++e.i&&\"limits\"!==e.GetCS()&&(e.i=n)},a.AmsMethods.MultiIntegral=function(e,t,a){var n=e.GetNext();if(\"\\\\\"===n){var r=e.i;n=e.GetArgument(t),e.i=r,\"\\\\limits\"===n&&(a=\"\\\\idotsint\"===t?\"\\\\!\\\\!\\\\mathop{\\\\,\\\\,\"+a+\"}\":\"\\\\!\\\\!\\\\!\\\\mathop{\\\\,\\\\,\\\\,\"+a+\"}\")}e.string=a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.xArrow=function(e,t,a,n,r){var l={width:\"+\"+i.default.Em((n+r)/18),lspace:i.default.Em(n/18)},d=e.GetBrackets(t),m=e.ParseArg(t),u=e.create(\"node\",\"mspace\",[],{depth:\".25em\"}),f=e.create(\"token\",\"mo\",{stretchy:!0,texClass:c.TEXCLASS.REL},String.fromCodePoint(a));f=e.create(\"node\",\"mstyle\",[f],{scriptlevel:0});var g=e.create(\"node\",\"munderover\",[f]),A=e.create(\"node\",\"mpadded\",[m,u],l);if(s.default.setAttribute(A,\"voffset\",\"-.2em\"),s.default.setAttribute(A,\"height\",\"-.2em\"),s.default.setChild(g,g.over,A),d){var h=new o.default(d,e.stack.env,e.configuration).mml(),p=e.create(\"node\",\"mspace\",[],{height:\".75em\"});A=e.create(\"node\",\"mpadded\",[h,p],l),s.default.setAttribute(A,\"voffset\",\".15em\"),s.default.setAttribute(A,\"depth\",\"-.15em\"),s.default.setChild(g,g.under,A)}s.default.setProperty(g,\"subsupOK\",!0),e.Push(g)},a.AmsMethods.HandleShove=function(e,t,a){var n=e.stack.Top();if(\"multline\"!==n.kind)throw new d.default(\"CommandOnlyAllowedInEnv\",\"%1 only allowed in %2 environment\",e.currentCS,\"multline\");if(n.Size())throw new d.default(\"CommandAtTheBeginingOfLine\",\"%1 must come at the beginning of the line\",e.currentCS);n.setProperty(\"shove\",a)},a.AmsMethods.CFrac=function(e,t){var a=i.default.trimSpaces(e.GetBrackets(t,\"\")),n=e.GetArgument(t),r=e.GetArgument(t),m={l:l.TexConstant.Align.LEFT,r:l.TexConstant.Align.RIGHT,\"\":\"\"},u=new o.default(\"\\\\strut\\\\textstyle{\"+n+\"}\",e.stack.env,e.configuration).mml(),c=new o.default(\"\\\\strut\\\\textstyle{\"+r+\"}\",e.stack.env,e.configuration).mml(),f=e.create(\"node\",\"mfrac\",[u,c]);if(null==(a=m[a]))throw new d.default(\"IllegalAlign\",\"Illegal alignment specified in %1\",e.currentCS);a&&s.default.setProperties(f,{numalign:a,denomalign:a}),e.Push(f)},a.AmsMethods.Genfrac=function(e,t,a,n,r,l){null==a&&(a=e.GetDelimiterArg(t)),null==n&&(n=e.GetDelimiterArg(t)),null==r&&(r=e.GetArgument(t)),null==l&&(l=i.default.trimSpaces(e.GetArgument(t)));var o=e.ParseArg(t),m=e.ParseArg(t),u=e.create(\"node\",\"mfrac\",[o,m]);if(\"\"!==r&&s.default.setAttribute(u,\"linethickness\",r),(a||n)&&(s.default.setProperty(u,\"withDelims\",!0),u=i.default.fixedFence(e.configuration,a,u,n)),\"\"!==l){var c=parseInt(l,10),f=[\"D\",\"T\",\"S\",\"SS\"][c];if(null==f)throw new d.default(\"BadMathStyleFor\",\"Bad math style for %1\",e.currentCS);u=e.create(\"node\",\"mstyle\",[u]),\"D\"===f?s.default.setProperties(u,{displaystyle:!0,scriptlevel:0}):s.default.setProperties(u,{displaystyle:!1,scriptlevel:c-1})}e.Push(u)},a.AmsMethods.HandleTag=function(e,t){if(!e.tags.currentTag.taggable&&e.tags.env)throw new d.default(\"CommandNotAllowedInEnv\",\"%1 not allowed in %2 environment\",e.currentCS,e.tags.env);if(e.tags.currentTag.tag)throw new d.default(\"MultipleCommand\",\"Multiple %1\",e.currentCS);var a=e.GetStar(),n=i.default.trimSpaces(e.GetArgument(t));e.tags.tag(n,a)},a.AmsMethods.HandleNoTag=u.default.HandleNoTag,a.AmsMethods.HandleRef=u.default.HandleRef,a.AmsMethods.Macro=u.default.Macro,a.AmsMethods.Accent=u.default.Accent,a.AmsMethods.Tilde=u.default.Tilde,a.AmsMethods.Array=u.default.Array,a.AmsMethods.Spacer=u.default.Spacer,a.AmsMethods.NamedOp=u.default.NamedOp,a.AmsMethods.EqnArray=u.default.EqnArray,a.AmsMethods.Equation=u.default.Equation},\n      740: function _(a,r,t,e,n){e();var l=a(739),i=a(554),o=a(558),s=a(561),m=a(540),c=a(533),h=a(560);new i.CharacterMap(\"AMSmath-mathchar0mo\",s.default.mathchar0mo,{iiiint:[\"\\u2a0c\",{texClass:c.TEXCLASS.OP}]}),new i.CommandMap(\"AMSmath-macros\",{mathring:[\"Accent\",\"02DA\"],nobreakspace:\"Tilde\",negmedspace:[\"Spacer\",h.MATHSPACE.negativemediummathspace],negthickspace:[\"Spacer\",h.MATHSPACE.negativethickmathspace],idotsint:[\"MultiIntegral\",\"\\\\int\\\\cdots\\\\int\"],dddot:[\"Accent\",\"20DB\"],ddddot:[\"Accent\",\"20DC\"],sideset:[\"Macro\",\"\\\\mathop{\\\\mathop{\\\\rlap{\\\\phantom{#3}}}\\\\nolimits#1\\\\!\\\\mathop{#3}\\\\nolimits#2}\",3],boxed:[\"Macro\",\"\\\\fbox{$\\\\displaystyle{#1}$}\",1],tag:\"HandleTag\",notag:\"HandleNoTag\",eqref:[\"HandleRef\",!0],substack:[\"Macro\",\"\\\\begin{subarray}{c}#1\\\\end{subarray}\",1],injlim:[\"NamedOp\",\"inj&thinsp;lim\"],projlim:[\"NamedOp\",\"proj&thinsp;lim\"],varliminf:[\"Macro\",\"\\\\mathop{\\\\underline{\\\\mmlToken{mi}{lim}}}\"],varlimsup:[\"Macro\",\"\\\\mathop{\\\\overline{\\\\mmlToken{mi}{lim}}}\"],varinjlim:[\"Macro\",\"\\\\mathop{\\\\underrightarrow{\\\\mmlToken{mi}{lim}}}\"],varprojlim:[\"Macro\",\"\\\\mathop{\\\\underleftarrow{\\\\mmlToken{mi}{lim}}}\"],DeclareMathOperator:\"HandleDeclareOp\",operatorname:\"HandleOperatorName\",SkipLimits:\"SkipLimits\",genfrac:\"Genfrac\",frac:[\"Genfrac\",\"\",\"\",\"\",\"\"],tfrac:[\"Genfrac\",\"\",\"\",\"\",\"1\"],dfrac:[\"Genfrac\",\"\",\"\",\"\",\"0\"],binom:[\"Genfrac\",\"(\",\")\",\"0\",\"\"],tbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"1\"],dbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"0\"],cfrac:\"CFrac\",shoveleft:[\"HandleShove\",o.TexConstant.Align.LEFT],shoveright:[\"HandleShove\",o.TexConstant.Align.RIGHT],xrightarrow:[\"xArrow\",8594,5,10],xleftarrow:[\"xArrow\",8592,10,5]},l.AmsMethods),new i.EnvironmentMap(\"AMSmath-environment\",s.default.environment,{\"equation*\":[\"Equation\",null,!1],\"eqnarray*\":[\"EqnArray\",null,!1,!0,\"rcl\",m.default.cols(0,h.MATHSPACE.thickmathspace),\".5em\"],align:[\"EqnArray\",null,!0,!0,\"rl\",m.default.cols(0,2)],\"align*\":[\"EqnArray\",null,!1,!0,\"rl\",m.default.cols(0,2)],multline:[\"Multline\",null,!0],\"multline*\":[\"Multline\",null,!1],split:[\"EqnArray\",null,!1,!1,\"rl\",m.default.cols(0)],gather:[\"EqnArray\",null,!0,!0,\"c\"],\"gather*\":[\"EqnArray\",null,!1,!0,\"c\"],alignat:[\"AlignAt\",null,!0,!0],\"alignat*\":[\"AlignAt\",null,!1,!0],alignedat:[\"AlignAt\",null,!1,!1],aligned:[\"AmsEqnArray\",null,null,null,\"rl\",m.default.cols(0,2),\".5em\",\"D\"],gathered:[\"AmsEqnArray\",null,null,null,\"c\",null,\".5em\",\"D\"],xalignat:[\"XalignAt\",null,!0,!0],\"xalignat*\":[\"XalignAt\",null,!1,!0],xxalignat:[\"XalignAt\",null,!1,!1],flalign:[\"FlalignArray\",null,!0,!1,!0,\"rlc\",\"auto auto fit\"],\"flalign*\":[\"FlalignArray\",null,!1,!1,!0,\"rlc\",\"auto auto fit\"],subarray:[\"Array\",null,null,null,null,m.default.cols(0),\"0.1em\",\"S\",1],smallmatrix:[\"Array\",null,null,null,\"c\",m.default.cols(1/3),\".2em\",\"S\",1],matrix:[\"Array\",null,null,null,\"c\"],pmatrix:[\"Array\",null,\"(\",\")\",\"c\"],bmatrix:[\"Array\",null,\"[\",\"]\",\"c\"],Bmatrix:[\"Array\",null,\"\\\\{\",\"\\\\}\",\"c\"],vmatrix:[\"Array\",null,\"\\\\vert\",\"\\\\vert\",\"c\"],Vmatrix:[\"Array\",null,\"\\\\Vert\",\"\\\\Vert\",\"c\"],cases:[\"Array\",null,\"\\\\{\",\".\",\"ll\",null,\".2em\",\"T\"]},l.AmsMethods),new i.DelimiterMap(\"AMSmath-delimiter\",s.default.delimiter,{\"\\\\lvert\":[\"|\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rvert\":[\"|\",{texClass:c.TEXCLASS.CLOSE}],\"\\\\lVert\":[\"\\u2016\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rVert\":[\"\\u2016\",{texClass:c.TEXCLASS.CLOSE}]}),new i.CharacterMap(\"AMSsymbols-mathchar0mi\",s.default.mathchar0mi,{digamma:\"\\u03dd\",varkappa:\"\\u03f0\",varGamma:[\"\\u0393\",{mathvariant:o.TexConstant.Variant.ITALIC}],varDelta:[\"\\u0394\",{mathvariant:o.TexConstant.Variant.ITALIC}],varTheta:[\"\\u0398\",{mathvariant:o.TexConstant.Variant.ITALIC}],varLambda:[\"\\u039b\",{mathvariant:o.TexConstant.Variant.ITALIC}],varXi:[\"\\u039e\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPi:[\"\\u03a0\",{mathvariant:o.TexConstant.Variant.ITALIC}],varSigma:[\"\\u03a3\",{mathvariant:o.TexConstant.Variant.ITALIC}],varUpsilon:[\"\\u03a5\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPhi:[\"\\u03a6\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPsi:[\"\\u03a8\",{mathvariant:o.TexConstant.Variant.ITALIC}],varOmega:[\"\\u03a9\",{mathvariant:o.TexConstant.Variant.ITALIC}],beth:\"\\u2136\",gimel:\"\\u2137\",daleth:\"\\u2138\",backprime:[\"\\u2035\",{variantForm:!0}],hslash:\"\\u210f\",varnothing:[\"\\u2205\",{variantForm:!0}],blacktriangle:\"\\u25b4\",triangledown:[\"\\u25bd\",{variantForm:!0}],blacktriangledown:\"\\u25be\",square:\"\\u25fb\",Box:\"\\u25fb\",blacksquare:\"\\u25fc\",lozenge:\"\\u25ca\",Diamond:\"\\u25ca\",blacklozenge:\"\\u29eb\",circledS:[\"\\u24c8\",{mathvariant:o.TexConstant.Variant.NORMAL}],bigstar:\"\\u2605\",sphericalangle:\"\\u2222\",measuredangle:\"\\u2221\",nexists:\"\\u2204\",complement:\"\\u2201\",mho:\"\\u2127\",eth:[\"\\xf0\",{mathvariant:o.TexConstant.Variant.NORMAL}],Finv:\"\\u2132\",diagup:\"\\u2571\",Game:\"\\u2141\",diagdown:\"\\u2572\",Bbbk:[\"k\",{mathvariant:o.TexConstant.Variant.DOUBLESTRUCK}],yen:\"\\xa5\",circledR:\"\\xae\",checkmark:\"\\u2713\",maltese:\"\\u2720\"}),new i.CharacterMap(\"AMSsymbols-mathchar0mo\",s.default.mathchar0mo,{dotplus:\"\\u2214\",ltimes:\"\\u22c9\",smallsetminus:[\"\\u2216\",{variantForm:!0}],rtimes:\"\\u22ca\",Cap:\"\\u22d2\",doublecap:\"\\u22d2\",leftthreetimes:\"\\u22cb\",Cup:\"\\u22d3\",doublecup:\"\\u22d3\",rightthreetimes:\"\\u22cc\",barwedge:\"\\u22bc\",curlywedge:\"\\u22cf\",veebar:\"\\u22bb\",curlyvee:\"\\u22ce\",doublebarwedge:\"\\u2a5e\",boxminus:\"\\u229f\",circleddash:\"\\u229d\",boxtimes:\"\\u22a0\",circledast:\"\\u229b\",boxdot:\"\\u22a1\",circledcirc:\"\\u229a\",boxplus:\"\\u229e\",centerdot:[\"\\u22c5\",{variantForm:!0}],divideontimes:\"\\u22c7\",intercal:\"\\u22ba\",leqq:\"\\u2266\",geqq:\"\\u2267\",leqslant:\"\\u2a7d\",geqslant:\"\\u2a7e\",eqslantless:\"\\u2a95\",eqslantgtr:\"\\u2a96\",lesssim:\"\\u2272\",gtrsim:\"\\u2273\",lessapprox:\"\\u2a85\",gtrapprox:\"\\u2a86\",approxeq:\"\\u224a\",lessdot:\"\\u22d6\",gtrdot:\"\\u22d7\",lll:\"\\u22d8\",llless:\"\\u22d8\",ggg:\"\\u22d9\",gggtr:\"\\u22d9\",lessgtr:\"\\u2276\",gtrless:\"\\u2277\",lesseqgtr:\"\\u22da\",gtreqless:\"\\u22db\",lesseqqgtr:\"\\u2a8b\",gtreqqless:\"\\u2a8c\",doteqdot:\"\\u2251\",Doteq:\"\\u2251\",eqcirc:\"\\u2256\",risingdotseq:\"\\u2253\",circeq:\"\\u2257\",fallingdotseq:\"\\u2252\",triangleq:\"\\u225c\",backsim:\"\\u223d\",thicksim:[\"\\u223c\",{variantForm:!0}],backsimeq:\"\\u22cd\",thickapprox:[\"\\u2248\",{variantForm:!0}],subseteqq:\"\\u2ac5\",supseteqq:\"\\u2ac6\",Subset:\"\\u22d0\",Supset:\"\\u22d1\",sqsubset:\"\\u228f\",sqsupset:\"\\u2290\",preccurlyeq:\"\\u227c\",succcurlyeq:\"\\u227d\",curlyeqprec:\"\\u22de\",curlyeqsucc:\"\\u22df\",precsim:\"\\u227e\",succsim:\"\\u227f\",precapprox:\"\\u2ab7\",succapprox:\"\\u2ab8\",vartriangleleft:\"\\u22b2\",lhd:\"\\u22b2\",vartriangleright:\"\\u22b3\",rhd:\"\\u22b3\",trianglelefteq:\"\\u22b4\",unlhd:\"\\u22b4\",trianglerighteq:\"\\u22b5\",unrhd:\"\\u22b5\",vDash:[\"\\u22a8\",{variantForm:!0}],Vdash:\"\\u22a9\",Vvdash:\"\\u22aa\",smallsmile:[\"\\u2323\",{variantForm:!0}],shortmid:[\"\\u2223\",{variantForm:!0}],smallfrown:[\"\\u2322\",{variantForm:!0}],shortparallel:[\"\\u2225\",{variantForm:!0}],bumpeq:\"\\u224f\",between:\"\\u226c\",Bumpeq:\"\\u224e\",pitchfork:\"\\u22d4\",varpropto:[\"\\u221d\",{variantForm:!0}],backepsilon:\"\\u220d\",blacktriangleleft:\"\\u25c2\",blacktriangleright:\"\\u25b8\",therefore:\"\\u2234\",because:\"\\u2235\",eqsim:\"\\u2242\",vartriangle:[\"\\u25b3\",{variantForm:!0}],Join:\"\\u22c8\",nless:\"\\u226e\",ngtr:\"\\u226f\",nleq:\"\\u2270\",ngeq:\"\\u2271\",nleqslant:[\"\\u2a87\",{variantForm:!0}],ngeqslant:[\"\\u2a88\",{variantForm:!0}],nleqq:[\"\\u2270\",{variantForm:!0}],ngeqq:[\"\\u2271\",{variantForm:!0}],lneq:\"\\u2a87\",gneq:\"\\u2a88\",lneqq:\"\\u2268\",gneqq:\"\\u2269\",lvertneqq:[\"\\u2268\",{variantForm:!0}],gvertneqq:[\"\\u2269\",{variantForm:!0}],lnsim:\"\\u22e6\",gnsim:\"\\u22e7\",lnapprox:\"\\u2a89\",gnapprox:\"\\u2a8a\",nprec:\"\\u2280\",nsucc:\"\\u2281\",npreceq:[\"\\u22e0\",{variantForm:!0}],nsucceq:[\"\\u22e1\",{variantForm:!0}],precneqq:\"\\u2ab5\",succneqq:\"\\u2ab6\",precnsim:\"\\u22e8\",succnsim:\"\\u22e9\",precnapprox:\"\\u2ab9\",succnapprox:\"\\u2aba\",nsim:\"\\u2241\",ncong:\"\\u2247\",nshortmid:[\"\\u2224\",{variantForm:!0}],nshortparallel:[\"\\u2226\",{variantForm:!0}],nmid:\"\\u2224\",nparallel:\"\\u2226\",nvdash:\"\\u22ac\",nvDash:\"\\u22ad\",nVdash:\"\\u22ae\",nVDash:\"\\u22af\",ntriangleleft:\"\\u22ea\",ntriangleright:\"\\u22eb\",ntrianglelefteq:\"\\u22ec\",ntrianglerighteq:\"\\u22ed\",nsubseteq:\"\\u2288\",nsupseteq:\"\\u2289\",nsubseteqq:[\"\\u2288\",{variantForm:!0}],nsupseteqq:[\"\\u2289\",{variantForm:!0}],subsetneq:\"\\u228a\",supsetneq:\"\\u228b\",varsubsetneq:[\"\\u228a\",{variantForm:!0}],varsupsetneq:[\"\\u228b\",{variantForm:!0}],subsetneqq:\"\\u2acb\",supsetneqq:\"\\u2acc\",varsubsetneqq:[\"\\u2acb\",{variantForm:!0}],varsupsetneqq:[\"\\u2acc\",{variantForm:!0}],leftleftarrows:\"\\u21c7\",rightrightarrows:\"\\u21c9\",leftrightarrows:\"\\u21c6\",rightleftarrows:\"\\u21c4\",Lleftarrow:\"\\u21da\",Rrightarrow:\"\\u21db\",twoheadleftarrow:\"\\u219e\",twoheadrightarrow:\"\\u21a0\",leftarrowtail:\"\\u21a2\",rightarrowtail:\"\\u21a3\",looparrowleft:\"\\u21ab\",looparrowright:\"\\u21ac\",leftrightharpoons:\"\\u21cb\",rightleftharpoons:[\"\\u21cc\",{variantForm:!0}],curvearrowleft:\"\\u21b6\",curvearrowright:\"\\u21b7\",circlearrowleft:\"\\u21ba\",circlearrowright:\"\\u21bb\",Lsh:\"\\u21b0\",Rsh:\"\\u21b1\",upuparrows:\"\\u21c8\",downdownarrows:\"\\u21ca\",upharpoonleft:\"\\u21bf\",upharpoonright:\"\\u21be\",downharpoonleft:\"\\u21c3\",restriction:\"\\u21be\",multimap:\"\\u22b8\",downharpoonright:\"\\u21c2\",leftrightsquigarrow:\"\\u21ad\",rightsquigarrow:\"\\u21dd\",leadsto:\"\\u21dd\",dashrightarrow:\"\\u21e2\",dashleftarrow:\"\\u21e0\",nleftarrow:\"\\u219a\",nrightarrow:\"\\u219b\",nLeftarrow:\"\\u21cd\",nRightarrow:\"\\u21cf\",nleftrightarrow:\"\\u21ae\",nLeftrightarrow:\"\\u21ce\"}),new i.DelimiterMap(\"AMSsymbols-delimiter\",s.default.delimiter,{\"\\\\ulcorner\":\"\\u231c\",\"\\\\urcorner\":\"\\u231d\",\"\\\\llcorner\":\"\\u231e\",\"\\\\lrcorner\":\"\\u231f\"}),new i.CommandMap(\"AMSsymbols-macros\",{implies:[\"Macro\",\"\\\\;\\\\Longrightarrow\\\\;\"],impliedby:[\"Macro\",\"\\\\;\\\\Longleftarrow\\\\;\"]},l.AmsMethods)},\n      741: function _(a,e,o,r,c){r();var n=a(551);a(742),o.AmsCdConfiguration=n.Configuration.create(\"amscd\",{handler:{character:[\"amscd_special\"],macro:[\"amscd_macros\"],environment:[\"amscd_environment\"]},options:{amscd:{colspace:\"5pt\",rowspace:\"5pt\",harrowsize:\"2.75em\",varrowsize:\"1.75em\",hideHorizontalLabels:!1}}})},\n      742: function _(a,n,r,e,i){e();var m=a(554),o=a(561),t=a(743);new m.EnvironmentMap(\"amscd_environment\",o.default.environment,{CD:\"CD\"},t.default),new m.CommandMap(\"amscd_macros\",{minCDarrowwidth:\"minCDarrowwidth\",minCDarrowheight:\"minCDarrowheight\"},t.default),new m.MacroMap(\"amscd_special\",{\"@\":\"arrow\"},t.default)},\n      743: function _(e,t,a,r,n){r();var i=e(539),o=e(553),c=e(533),s=e(536),l={CD:function(e,t){e.Push(t);var a=e.itemFactory.create(\"array\"),r=e.configuration.options.amscd;return a.setProperties({minw:e.stack.env.CD_minw||r.harrowsize,minh:e.stack.env.CD_minh||r.varrowsize}),a.arraydef={columnalign:\"center\",columnspacing:r.colspace,rowspacing:r.rowspace,displaystyle:!0},a},arrow:function(e,t){var a=e.string.charAt(e.i);if(!a.match(/[><VA.|=]/))return o.Other(e,t);e.i++;var r=e.stack.Top();r.isKind(\"array\")&&!r.Size()||(l.cell(e,t),r=e.stack.Top());for(var n,d=r,m=d.table.length%2==1,p=(d.row.length+(m?0:1))%2;p;)l.cell(e,t),p--;var f={minsize:d.getProperty(\"minw\"),stretchy:!0},h={minsize:d.getProperty(\"minh\"),stretchy:!0,symmetric:!0,lspace:0,rspace:0};if(\".\"===a);else if(\"|\"===a)n=e.create(\"token\",\"mo\",h,\"\\u2225\");else if(\"=\"===a)n=e.create(\"token\",\"mo\",f,\"=\");else{var 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function _(t,o,a,e,n){var r=this&&this.__values||function(t){var o=\"function\"==typeof Symbol&&Symbol.iterator,a=o&&t[o],e=0;if(a)return a.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(o?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};e();var l=t(551),i=t(536),s=t(558),d=t(554),b=t(549),f={};function u(t,o,a,e){var n=b.NodeFactory.createToken(t,o,a,e);return\"mtext\"!==o&&t.configuration.parser.stack.env.boldsymbol&&(i.default.setProperty(n,\"fixBold\",!0),t.configuration.addNode(\"fixBold\",n)),n}function y(t){var o,a;try{for(var e=r(t.data.getList(\"fixBold\")),n=e.next();!n.done;n=e.next()){var l=n.value;if(i.default.getProperty(l,\"fixBold\")){var 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n={fence:!0,stretchy:!1,symmetric:!0,texClass:a.TEXCLASS.OPEN},i=this.create(\"token\",\"mo\",n,r);n.texClass=a.TEXCLASS.CLOSE;var c=this.create(\"token\",\"mo\",n,o);return this.create(\"node\",\"mrow\",[i,e,c],{open:r,close:o,texClass:a.TEXCLASS.INNER})},e}(s.BaseItem);r.BraketItem=p},\n      748: function _(r,e,a,t,l){t();var n=r(554),g=r(749);new n.CommandMap(\"Braket-macros\",{bra:[\"Macro\",\"{\\\\langle {#1} \\\\vert}\",1],ket:[\"Macro\",\"{\\\\vert {#1} \\\\rangle}\",1],braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!1,1/0],set:[\"Braket\",\"{\",\"}\",!1,1],Bra:[\"Macro\",\"{\\\\left\\\\langle {#1} \\\\right\\\\vert}\",1],Ket:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle}\",1],Braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!0,1/0],Set:[\"Braket\",\"{\",\"}\",!0,1],ketbra:[\"Macro\",\"{\\\\vert {#1} \\\\rangle\\\\langle {#2} \\\\vert}\",2],Ketbra:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle\\\\left\\\\langle {#2} \\\\right\\\\vert}\",2],\"|\":\"Bar\"},g.default),new 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0===e&&(e=null),t.toString()+(null===e?\"\":String.fromCharCode(96+e))},e}(m.AmsTags);r.CasesTags=d,r.CasesMethods={NumCases:function(t,e){if(t.stack.env.closing===e.getName()){delete t.stack.env.closing,t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName()));var r=t.stack.Top(),n=r.Last,s=l.default.copyNode(n,t),a=r.getProperty(\"left\");return y.EmpheqUtil.left(n,s,a+\"\\\\empheqlbrace\\\\,\",t,\"numcases-left\"),t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName())),null}a=t.GetArgument(\"\\\\begin{\"+e.getName()+\"}\");e.setProperty(\"left\",a);var o=p.default.EqnArray(t,e,!0,!0,\"ll\");return o.arraydef.displaystyle=!1,o.arraydef.rowspacing=\".2em\",o.setProperty(\"numCases\",!0),t.Push(e),o},Entry:function(t,e){if(!t.stack.Top().getProperty(\"numCases\"))return p.default.Entry(t,e);t.Push(t.itemFactory.create(\"cell\").setProperties({isEntry:!0,name:e}));for(var r=t.string,n=0,s=t.i,a=r.length;s<a;){var o=r.charAt(s);if(\"{\"===o)n++,s++;else if(\"}\"===o){if(0===n)break;n--,s++}else{if(\"&\"===o&&0===n)throw new f.default(\"ExtraCasesAlignTab\",\"Extra alignment tab in text for numcase environment\");if(\"\\\\\"===o&&0===n){var i=(r.slice(s+1).match(/^[a-z]+|./i)||[])[0];if(\"\\\\\"===i||\"cr\"===i||\"end\"===i||\"label\"===i)break;s+=i.length}else s++}}var u=r.substr(t.i,s-t.i).replace(/^\\s*/,\"\");t.PushAll(l.default.internalMath(t,u,0)),t.i=s}},new c.EnvironmentMap(\"cases-env\",y.EmpheqUtil.environment,{numcases:[\"NumCases\",\"cases\"],subnumcases:[\"NumCases\",\"cases\"]},r.CasesMethods),new c.MacroMap(\"cases-macros\",{\"&\":\"Entry\"},r.CasesMethods),r.CasesConfiguration=u.Configuration.create(\"cases\",{handler:{environment:[\"cases-env\"],character:[\"cases-macros\"]},items:(o={},o[g.prototype.kind]=g,o),tags:{cases:d}})},\n      758: function _(e,t,n,r,i){var l=this&&this.__read||function(e,t){var n=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!n)return e;var r,i,l=n.call(e),o=[];try{for(;(void 0===t||t-- 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o=l.value,d=o.childNodes.length-(o.isKind(\"mlabeledtr\")?1:0);d>r&&(r=d)}}catch(e){t={error:e}}finally{try{l&&!l.done&&(n=i.return)&&n.call(i)}finally{if(t)throw t.error}}return r},cellBlock:function(e,t,n,r){var i,l,o=n.create(\"node\",\"mpadded\",[],{height:0,depth:0,voffset:\"-1height\"}),d=new c.default(e,n.stack.env,n.configuration),s=d.mml();r&&d.configuration.tags.label&&(d.configuration.tags.currentTag.env=r,d.configuration.tags.getTag(!0));try{for(var u=a(s.isInferred?s.childNodes:[s]),h=u.next();!h.done;h=u.next()){var f=h.value;o.appendChild(f)}}catch(e){i={error:e}}finally{try{h&&!h.done&&(l=u.return)&&l.call(u)}finally{if(i)throw i.error}}return o.appendChild(n.create(\"node\",\"mphantom\",[n.create(\"node\",\"mpadded\",[t],{width:0})])),o},topRowTable:function(e,t){var n=d.default.copyNode(e,t);return n.setChildren(n.childNodes.slice(0,1)),n.attributes.set(\"align\",\"baseline 1\"),e.factory.create(\"mphantom\",{},[t.create(\"node\",\"mpadded\",[n],{width:0})])},rowspanCell:function(e,t,n,r,i){e.appendChild(r.create(\"node\",\"mpadded\",[this.cellBlock(t,d.default.copyNode(n,r),r,i),this.topRowTable(n,r)],{height:0,depth:0,voffset:\"height\"}))},left:function(e,t,n,r,i){var l,o,d;void 0===i&&(i=\"\"),e.attributes.set(\"columnalign\",\"right \"+(e.attributes.get(\"columnalign\")||\"\")),e.attributes.set(\"columnspacing\",\"0em \"+(e.attributes.get(\"columnspacing\")||\"\"));try{for(var c=a(e.childNodes.slice(0).reverse()),s=c.next();!s.done;s=c.next()){var u=s.value;d=r.create(\"node\",\"mtd\"),u.childNodes.unshift(d),u.replaceChild(d,d),u.isKind(\"mlabeledtr\")&&(u.childNodes[0]=u.childNodes[1],u.childNodes[1]=d)}}catch(e){l={error:e}}finally{try{s&&!s.done&&(o=c.return)&&o.call(c)}finally{if(l)throw l.error}}this.rowspanCell(d,n,t,r,i)},right:function(e,t,r,i,l){void 0===l&&(l=\"\"),0===e.childNodes.length&&e.appendChild(i.create(\"node\",\"mtr\"));for(var o=n.EmpheqUtil.columnCount(e),a=e.childNodes[0];a.childNodes.length<o;)a.appendChild(i.create(\"node\",\"mtd\"));var d=a.appendChild(i.create(\"node\",\"mtd\"));n.EmpheqUtil.rowspanCell(d,r,t,i,l),e.attributes.set(\"columnalign\",(e.attributes.get(\"columnalign\")||\"\").split(/ /).slice(0,o).join(\" \")+\" left\"),e.attributes.set(\"columnspacing\",(e.attributes.get(\"columnspacing\")||\"\").split(/ /).slice(0,o-1).join(\" \")+\" 0em\")},adjustTable:function(e,t){var n=e.getProperty(\"left\"),r=e.getProperty(\"right\");if(n||r){var i=e.Last,l=d.default.copyNode(i,t);n&&this.left(i,l,n,t),r&&this.right(i,l,r,t)}},allowEnv:{equation:!0,align:!0,gather:!0,flalign:!0,alignat:!0,multline:!0},checkEnv:function(e){return this.allowEnv.hasOwnProperty(e.replace(/\\*$/,\"\"))||!1}}},\n      759: function _(e,t,r,n,a){var o=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var i=e(551),c=e(539),d=e(536),l=e(554),u=e(559);function f(e){var t,r,n=e.data;try{for(var a=o(n.getList(\"centerOver\")),i=a.next();!i.done;i=a.next()){var c=i.value,l=d.default.getTexClass(c.childNodes[0].childNodes[0]);null!==l&&d.default.setProperties(c.parent.parent.parent.parent.parent.parent,{texClass:l})}}catch(e){t={error:e}}finally{try{i&&!i.done&&(r=a.return)&&r.call(a)}finally{if(t)throw t.error}}}new l.CommandMap(\"centernot\",{centerOver:\"CenterOver\",centernot:[\"Macro\",\"\\\\centerOver{#1}{{\\u29f8}}\",1]},{CenterOver:function(e,t){var r=\"{\"+e.GetArgument(t)+\"}\",n=e.ParseArg(t),a=new c.default(r,e.stack.env,e.configuration).mml(),o=e.create(\"node\",\"TeXAtom\",[new c.default(r,e.stack.env,e.configuration).mml(),e.create(\"node\",\"mpadded\",[e.create(\"node\",\"mpadded\",[n],{width:0,lspace:\"-.5width\"}),e.create(\"node\",\"mphantom\",[a])],{width:0,lspace:\"-.5width\"})]);e.configuration.addNode(\"centerOver\",a),e.Push(o)},Macro:u.default.Macro}),r.filterCenterOver=f,r.CenternotConfiguration=i.Configuration.create(\"centernot\",{handler:{macro:[\"centernot\"]},postprocessors:[f]})},\n      760: function _(o,r,l,e,n){e();var c=o(554),a=o(551),t=o(761),i=o(762);new c.CommandMap(\"color\",{color:\"Color\",textcolor:\"TextColor\",definecolor:\"DefineColor\",colorbox:\"ColorBox\",fcolorbox:\"FColorBox\"},t.ColorMethods);l.ColorConfiguration=a.Configuration.create(\"color\",{handler:{macro:[\"color\"]},options:{color:{padding:\"5px\",borderWidth:\"2px\"}},config:function(o,r){r.parseOptions.packageData.set(\"color\",{model:new i.ColorModel})}})},\n      761: function _(e,o,t,r,a){r();var n=e(536),l=e(540);function c(e){var o=\"+\"+e,t=e.replace(/^.*?([a-z]*)$/,\"$1\");return{width:\"+\"+2*parseFloat(o)+t,height:o,depth:o,lspace:e}}t.ColorMethods={},t.ColorMethods.Color=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.itemFactory.create(\"style\").setProperties({styles:{mathcolor:a}});e.stack.env.color=a,e.Push(n)},t.ColorMethods.TextColor=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.stack.env.color;e.stack.env.color=a;var l=e.ParseArg(o);n?e.stack.env.color=n:delete e.stack.env.color;var c=e.create(\"node\",\"mstyle\",[l],{mathcolor:a});e.Push(c)},t.ColorMethods.DefineColor=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=e.GetArgument(o);e.configuration.packageData.get(\"color\").model.defineColor(r,t,a)},t.ColorMethods.ColorBox=function(e,o){var t=e.GetArgument(o),r=l.default.internalMath(e,e.GetArgument(o)),a=e.configuration.packageData.get(\"color\").model,d=e.create(\"node\",\"mpadded\",r,{mathbackground:a.getColor(\"named\",t)});n.default.setProperties(d,c(e.options.color.padding)),e.Push(d)},t.ColorMethods.FColorBox=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=l.default.internalMath(e,e.GetArgument(o)),d=e.options.color,g=e.configuration.packageData.get(\"color\").model,s=e.create(\"node\",\"mpadded\",a,{mathbackground:g.getColor(\"named\",r),style:\"border: \"+d.borderWidth+\" solid \"+g.getColor(\"named\",t)});n.default.setProperties(s,c(d.padding)),e.Push(s)}},\n      762: function _(e,r,t,o,n){var l=this&&this.__values||function(e){var r=\"function\"==typeof Symbol&&Symbol.iterator,t=r&&e[r],o=0;if(t)return t.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&o>=e.length&&(e=void 0),{value:e&&e[o++],done:!e}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var a=e(541),i=e(763),u=new Map,d=function(){function e(){this.userColors=new Map}return e.prototype.normalizeColor=function(e,r){if(!e||\"named\"===e)return r;if(u.has(e))return u.get(e)(r);throw new a.default(\"UndefinedColorModel\",\"Color model '%1' not defined\",e)},e.prototype.getColor=function(e,r){return e&&\"named\"!==e?this.normalizeColor(e,r):this.getColorByName(r)},e.prototype.getColorByName=function(e){return this.userColors.has(e)?this.userColors.get(e):i.COLORS.has(e)?i.COLORS.get(e):e},e.prototype.defineColor=function(e,r,t){var o=this.normalizeColor(e,t);this.userColors.set(r,o)},e}();t.ColorModel=d,u.set(\"rgb\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"rgb\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^(\\d+(\\.\\d*)?|\\.\\d+)$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var f=parseFloat(d);if(f<0||f>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"rgb\",\"0\",\"1\");var s=Math.floor(255*f).toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"RGB\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"RGB\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^\\d+$/))throw new a.default(\"InvalidNumber\",\"Invalid number\");var f=parseInt(d);if(f>255)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"RGB\",\"0\",\"255\");var s=f.toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"gray\",(function(e){if(!e.match(/^\\s*(\\d+(\\.\\d*)?|\\.\\d+)\\s*$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var r=parseFloat(e);if(r<0||r>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"gray\",\"0\",\"1\");var t=Math.floor(255*r).toString(16);return t.length<2&&(t=\"0\"+t),\"#\"+t+t+t}))},\n      763: function _(e,n,r,l,B){l(),r.COLORS=new Map([[\"Apricot\",\"#FBB982\"],[\"Aquamarine\",\"#00B5BE\"],[\"Bittersweet\",\"#C04F17\"],[\"Black\",\"#221E1F\"],[\"Blue\",\"#2D2F92\"],[\"BlueGreen\",\"#00B3B8\"],[\"BlueViolet\",\"#473992\"],[\"BrickRed\",\"#B6321C\"],[\"Brown\",\"#792500\"],[\"BurntOrange\",\"#F7921D\"],[\"CadetBlue\",\"#74729A\"],[\"CarnationPink\",\"#F282B4\"],[\"Cerulean\",\"#00A2E3\"],[\"CornflowerBlue\",\"#41B0E4\"],[\"Cyan\",\"#00AEEF\"],[\"Dandelion\",\"#FDBC42\"],[\"DarkOrchid\",\"#A4538A\"],[\"Emerald\",\"#00A99D\"],[\"ForestGreen\",\"#009B55\"],[\"Fuchsia\",\"#8C368C\"],[\"Goldenrod\",\"#FFDF42\"],[\"Gray\",\"#949698\"],[\"Green\",\"#00A64F\"],[\"GreenYellow\",\"#DFE674\"],[\"JungleGreen\",\"#00A99A\"],[\"Lavender\",\"#F49EC4\"],[\"LimeGreen\",\"#8DC73E\"],[\"Magenta\",\"#EC008C\"],[\"Mahogany\",\"#A9341F\"],[\"Maroon\",\"#AF3235\"],[\"Melon\",\"#F89E7B\"],[\"MidnightBlue\",\"#006795\"],[\"Mulberry\",\"#A93C93\"],[\"NavyBlue\",\"#006EB8\"],[\"OliveGreen\",\"#3C8031\"],[\"Orange\",\"#F58137\"],[\"OrangeRed\",\"#ED135A\"],[\"Orchid\",\"#AF72B0\"],[\"Peach\",\"#F7965A\"],[\"Periwinkle\",\"#7977B8\"],[\"PineGreen\",\"#008B72\"],[\"Plum\",\"#92268F\"],[\"ProcessBlue\",\"#00B0F0\"],[\"Purple\",\"#99479B\"],[\"RawSienna\",\"#974006\"],[\"Red\",\"#ED1B23\"],[\"RedOrange\",\"#F26035\"],[\"RedViolet\",\"#A1246B\"],[\"Rhodamine\",\"#EF559F\"],[\"RoyalBlue\",\"#0071BC\"],[\"RoyalPurple\",\"#613F99\"],[\"RubineRed\",\"#ED017D\"],[\"Salmon\",\"#F69289\"],[\"SeaGreen\",\"#3FBC9D\"],[\"Sepia\",\"#671800\"],[\"SkyBlue\",\"#46C5DD\"],[\"SpringGreen\",\"#C6DC67\"],[\"Tan\",\"#DA9D76\"],[\"TealBlue\",\"#00AEB3\"],[\"Thistle\",\"#D883B7\"],[\"Turquoise\",\"#00B4CE\"],[\"Violet\",\"#58429B\"],[\"VioletRed\",\"#EF58A0\"],[\"White\",\"#FFFFFF\"],[\"WildStrawberry\",\"#EE2967\"],[\"Yellow\",\"#FFF200\"],[\"YellowGreen\",\"#98CC70\"],[\"YellowOrange\",\"#FAA21A\"]])},\n      764: function _(o,r,e,a,c){a();var l=o(554),n=o(551);e.ColorV2Methods={Color:function(o,r){var e=o.GetArgument(r),a=o.stack.env.color;o.stack.env.color=e;var c=o.ParseArg(r);a?o.stack.env.color=a:delete o.stack.env.color;var l=o.create(\"node\",\"mstyle\",[c],{mathcolor:e});o.Push(l)}},new l.CommandMap(\"colorv2\",{color:\"Color\"},e.ColorV2Methods),e.ColorConfiguration=n.Configuration.create(\"colorv2\",{handler:{macro:[\"colorv2\"]}})},\n      765: function _(o,t,r,e,n){var l,c=this&&this.__extends||(l=function(o,t){return l=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(o,t){o.__proto__=t}||function(o,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(o[r]=t[r])},l(o,t)},function(o,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=o}l(o,t),o.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});e();var a=o(556),i=o(551),s=o(554),u=o(541),p=function(o){function t(){var t=null!==o&&o.apply(this,arguments)||this;return t.color={cell:\"\",row:\"\",col:[]},t.hasColor=!1,t}return c(t,o),t.prototype.EndEntry=function(){o.prototype.EndEntry.call(this);var t=this.row[this.row.length-1],r=this.color.cell||this.color.row||this.color.col[this.row.length-1];r&&(t.attributes.set(\"mathbackground\",r),this.color.cell=\"\",this.hasColor=!0)},t.prototype.EndRow=function(){o.prototype.EndRow.call(this),this.color.row=\"\"},t.prototype.createMml=function(){var t=o.prototype.createMml.call(this),r=t.isKind(\"mrow\")?t.childNodes[1]:t;return r.isKind(\"menclose\")&&(r=r.childNodes[0].childNodes[0]),this.hasColor&&\"none\"===r.attributes.get(\"frame\")&&r.attributes.set(\"frame\",\"\"),t},t}(a.ArrayItem);r.ColorArrayItem=p,new s.CommandMap(\"colortbl\",{cellcolor:[\"TableColor\",\"cell\"],rowcolor:[\"TableColor\",\"row\"],columncolor:[\"TableColor\",\"col\"]},{TableColor:function(o,t,r){var 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function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n      /* BEGIN panel.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\"], undefined);\n      })(this, function(Bokeh, version) {\n        let define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? 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You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      \"4e90918c0a\": function _(e,s,t,o,i){o();const n=(0,e(\"tslib\").__importStar)(e(\"eed113197d\"));t.Panel=n;(0,e(\"@bokehjs/base\").register_models)(n)},\n      \"eed113197d\": function _(e,a,t,o,c){o();const d=e(\"tslib\");c(\"AcePlot\",e(\"2e12ebdb23\").AcePlot),c(\"Audio\",e(\"33955cfa6f\").Audio),c(\"Card\",e(\"0972f6e77b\").Card),c(\"CommManager\",e(\"f34032fb47\").CommManager),c(\"CustomSelect\",e(\"e258e515be\").CustomSelect),c(\"DataTabulator\",e(\"6e8a14b34f\").DataTabulator),c(\"DatetimePicker\",e(\"6e11b2cfe2\").DatetimePicker),c(\"DeckGLPlot\",e(\"0155f7af4d\").DeckGLPlot),c(\"ECharts\",e(\"9d046c4720\").ECharts),c(\"HTML\",e(\"c424a3bd17\").HTML),c(\"IDOM\",e(\"7d45bd3bc4\").IDOM),c(\"IPyWidget\",e(\"0eae77d68f\").IPyWidget),c(\"JSON\",e(\"0d30bea0c8\").JSON),c(\"JSONEditor\",e(\"be9f51fc39\").JSONEditor),c(\"FileDownload\",e(\"1767172ffa\").FileDownload),c(\"KaTeX\",e(\"7b859fb3cf\").KaTeX),c(\"Location\",e(\"0c52a301f3\").Location),c(\"MathJax\",e(\"0c21036737\").MathJax),c(\"Perspective\",e(\"4ae96bd77b\").Perspective),c(\"Player\",e(\"27b8bb6d20\").Player),c(\"PlotlyPlot\",e(\"42de27e56c\").PlotlyPlot),c(\"Progress\",e(\"979633320f\").Progress),c(\"QuillInput\",e(\"d51a79a0a3\").QuillInput),c(\"ReactiveHTML\",e(\"5fad190ca1\").ReactiveHTML),c(\"SingleSelect\",e(\"ab54efe08a\").SingleSelect),c(\"SpeechToText\",e(\"a96be0bcc9\").SpeechToText),c(\"State\",e(\"bfa46a5f19\").State),c(\"Tabs\",e(\"f693d9aa84\").Tabs),c(\"Terminal\",e(\"3ea011fa55\").Terminal),c(\"TextToSpeech\",e(\"33cd2c254e\").TextToSpeech),c(\"TrendIndicator\",e(\"effe070807\").TrendIndicator),c(\"VegaPlot\",e(\"fea356270f\").VegaPlot),c(\"Video\",e(\"1b46fd56a8\").Video),c(\"VideoStream\",e(\"e3e9b8e495\").VideoStream),(0,d.__exportStar)(e(\"c51f25e2a7\"),t)},\n 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e=this._modelist.getModeForPath(this.model.filename).mode;this.model.language=e.slice(9)}}_update_language(){null!=this.model.language&&this._editor.session.setMode(`ace/mode/${this.model.language}`)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}i.AcePlotView=h,h.__name__=\"AcePlotView\";class _ extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Boolean:i,String:o})=>({code:[o,\"\"],filename:[o],language:[o],theme:[o,\"chrome\"],annotations:[t(e),[]],readonly:[i,!1],print_margin:[i,!1]}))),this.override({height:300,width:300})}}i.AcePlot=_,_.__name__=\"AcePlot\",_.__module__=\"panel.models.ace\",_.init_AcePlot()},\n      \"4c755983eb\": function _(e,i,t,s,h){s();const n=e(\"@bokehjs/core/layout/html\"),_=e(\"@bokehjs/core/layout/types\"),a=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/markup\"),o=e(\"@bokehjs/models/layouts/html_box\");function d(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),null!=i.min_width&&(e.style.minWidth=i.min_width+\"px\"),null!=i.max_width&&(e.style.maxWidth=i.max_width+\"px\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\"),null!=i.min_height&&(e.style.minHeight=i.min_height+\"px\"),null!=i.max_width&&(e.style.maxHeight=i.max_height+\"px\")}t.set_size=d;class m extends n.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),h=this._cache_count.get(i);if(null!=s&&null!=h&&h>=t)return this._cache_count.set(i,h+1),s;const n=new _.Sizeable(e).bounded_to(this.sizing.size),l=(0,a.sized)(this.el,n,(()=>{const e=new _.Sizeable((0,a.content_size)(this.el)),{border:i,padding:t}=(0,a.extents)(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)}));return this._cache.set(i,l),this._cache_count.set(i,0),l}invalidate_cache(){}}t.CachedVariadicBox=m,m.__name__=\"CachedVariadicBox\";class c extends l.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new m(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.markup_el,this.model)}}t.PanelMarkupView=c,c.__name__=\"PanelMarkupView\";class r extends o.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new m(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.el,this.model)}}t.PanelHTMLBoxView=r,r.__name__=\"PanelHTMLBoxView\"},\n      \"33955cfa6f\": function _(e,t,i,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"4c755983eb\");class u extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume())),this.connect(this.model.properties.muted.change,(()=>this.set_muted())),this.connect(this.model.properties.autoplay.change,(()=>this.set_autoplay()))}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,this.audioEl.muted=this.model.muted,this.audioEl.autoplay=this.model.autoplay,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_muted(){this.audioEl.muted=this.model.muted}set_autoplay(){this.audioEl.autoplay=this.model.autoplay}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=u,u.__name__=\"AudioView\";class a extends l.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=u,this.define((({Any:e,Boolean:t,Int:i,Number:o})=>({loop:[t,!1],paused:[t,!0],muted:[t,!1],autoplay:[t,!1],time:[o,0],throttle:[o,250],value:[e,\"\"],volume:[i]})))}}i.Audio=a,a.__name__=\"Audio\",a.__module__=\"panel.models.widgets\",a.init_Audio()},\n      \"0972f6e77b\": function _(e,l,s,t,o){t();const i=e(\"tslib\"),a=e(\"@bokehjs/models/layouts/column\"),d=e(\"@bokehjs/core/util/bbox\"),c=(0,i.__importStar)(e(\"@bokehjs/core/dom\")),n=e(\"@bokehjs/core/dom\"),h=e(\"@bokehjs/core/layout/grid\"),r=e(\"@bokehjs/core/util/color\");class _ extends a.ColumnView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.collapsed.change,(()=>this._collapse()));const{active_header_background:e,header_background:l,header_color:s,hide_header:t}=this.model.properties;this.on_change([e,l,s,t],(()=>this.render()))}_update_layout(){let e;e=this.model.hide_header?this.child_views.slice(1):this.model.collapsed?this.child_views.slice(0,1):this.child_views;const l=e.map((e=>e.layout));this.layout=new h.Column(l),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}update_position(){if(this.model.collapsible&&!this.model.hide_header){const e=this.child_views[0],l=e.layout.bbox,s=e.layout.inner_bbox;if(0!=l.x1){let t;if(this.model.collapsible){const e=getComputedStyle(this.button_el.children[0]);t=parseFloat(e.width)+parseFloat(e.marginLeft)||0}else t=0;const o=new d.BBox({x0:l.x0,x1:l.x1-t,y0:l.y0,y1:l.y1}),i=new d.BBox({x0:s.x0,x1:s.x1-t,y0:s.y0,y1:s.y1});e.layout.set_geometry(o,i)}}super.update_position()}render(){(0,n.empty)(this.el);const{background:e,button_css_classes:l,header_color:s,header_tag:t,header_css_classes:o}=this.model;this.el.style.backgroundColor=null!=e?(0,r.color2css)(e):\"\",(0,n.classes)(this.el).clear().add(...this.css_classes());let i=this.model.header_background;!this.model.collapsed&&this.model.active_header_background&&(i=this.model.active_header_background);const a=this.child_views[0];let d;if(this.model.collapsible){this.button_el=c.createElement(\"button\",{type:\"button\",class:o});const e=c.createElement(\"div\",{class:l});e.innerHTML=this.model.collapsed?\"\\u25ba\":\"\\u25bc\",this.button_el.appendChild(e),this.button_el.style.backgroundColor=null!=i?i:\"\",a.el.style.backgroundColor=null!=i?i:\"\",this.button_el.appendChild(a.el),this.button_el.onclick=()=>this._toggle_button(),d=this.button_el}else d=c.createElement(t,{class:o}),d.style.backgroundColor=null!=i?i:\"\",d.appendChild(a.el);this.model.hide_header||(d.style.color=null!=s?s:\"\",this.el.appendChild(d),a.render());for(const e of this.child_views.slice(1))this.model.collapsed||this.el.appendChild(e.el),e.render()}_toggle_button(){this.model.collapsed=!this.model.collapsed}_collapse(){this.invalidate_render()}_createElement(){return c.createElement(this.model.tag,{class:this.css_classes()})}}s.CardView=_,_.__name__=\"CardView\";class u extends a.Column{constructor(e){super(e)}static init_Card(){this.prototype.default_view=_,this.define((({Array:e,Boolean:l,Nullable:s,String:t})=>({active_header_background:[s(t),null],button_css_classes:[e(t),[]],collapsed:[l,!0],collapsible:[l,!0],header_background:[s(t),null],header_color:[s(t),null],header_css_classes:[e(t),[]],header_tag:[t,\"div\"],hide_header:[l,!1],tag:[t,\"div\"]})))}}s.Card=u,u.__name__=\"Card\",u.__module__=\"panel.models.layout\",u.init_Card()},\n      \"f34032fb47\": function _(e,t,n,o,i){o();const s=e(\"@bokehjs/document\"),c=e(\"@bokehjs/core/view\"),_=e(\"@bokehjs/model\"),l=e(\"@bokehjs/protocol/message\"),a=e(\"@bokehjs/protocol/receiver\");n.comm_settings={debounce:!0};class h extends c.View{renderTo(){}}n.CommManagerView=h,h.__name__=\"CommManagerView\";class m extends _.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new a.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,(e=>this.msg_handler(e))),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,(e=>this.on_ack(e)))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof s.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.push(e),n.comm_settings.debounce?(!this._blocked||Date.now()>this._timeout)&&(setTimeout((()=>this.process_events()),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout):this.process_events()))}process_events(){if(null==this.document||null==this._client_comm)return;const e=this.document.create_json_patch(this._event_buffer);this._event_buffer=[];const t=l.Message.create(\"PATCH-DOC\",{},e);this._client_comm.send(t)}on_ack(e){const t=e.metadata;this._event_buffer.length?(this._blocked=!0,this._timeout=Date.now()+this.timeout,this.process_events()):this._blocked=!1,\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=h,this.define((({Int:e,String:t})=>({plot_id:[t],comm_id:[t],client_comm_id:[t],timeout:[e,5e3],debounce:[e,50]})))}}n.CommManager=m,m.__name__=\"CommManager\",m.__module__=\"panel.models.comm_manager\",m.init_CommManager()},\n      \"e258e515be\": function _(e,t,s,o,i){var l;o();const d=e(\"@bokehjs/models/widgets/selectbox\");class n extends d.SelectView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled_options.change,(()=>this._update_disabled_options()))}options_el(){let e=super.options_el();return e.forEach((e=>{this.model.disabled_options.includes(e.value)&&e.setAttribute(\"disabled\",\"true\")})),e}_update_disabled_options(){for(const e of this.input_el.options)this.model.disabled_options.includes(e.value)?e.setAttribute(\"disabled\",\"true\"):e.removeAttribute(\"disabled\")}}s.CustomSelectView=n,n.__name__=\"CustomSelectView\";class _ extends d.Select{constructor(e){super(e)}}s.CustomSelect=_,l=_,_.__name__=\"CustomSelect\",_.__module__=\"panel.models.widgets\",l.prototype.default_view=n,l.define((({Array:e,String:t})=>({disabled_options:[e(t),[]]})))},\n      \"6e8a14b34f\": function _(t,e,i,o,s){o();const l=t(\"@bokehjs/core/dom\"),n=t(\"@bokehjs/core/util/types\"),a=t(\"@bokehjs/models/layouts/html_box\"),r=t(\"@bokehjs/core/build_views\"),d=t(\"@bokehjs/core/bokeh_events\"),c=t(\"@bokehjs/core/dom\"),h=t(\"@bokehjs/core/kinds\"),u=t(\"@bokehjs/models/sources/column_data_source\"),m=t(\"@bokehjs/models/widgets/tables\"),_=t(\"99a25e6992\"),f=t(\"f34032fb47\"),g=t(\"7f7d9e0c6b\"),p=t(\"4c755983eb\");class b extends d.ModelEvent{constructor(t,e){super(),this.column=t,this.row=e,this.event_name=\"table-edit\"}_to_json(){return{model:this.origin,column:this.column,row:this.row}}}i.TableEditEvent=b,b.__name__=\"TableEditEvent\";class y extends d.ModelEvent{constructor(t,e){super(),this.column=t,this.row=e,this.event_name=\"cell-click\"}_to_json(){return{model:this.origin,column:this.column,row:this.row}}}function w(t,e,i){for(const o of i)if(o[t]==e)return o;return null}function x(t,e,i,o=0){const s={};if(0==t.length)return s;const l=i[o];for(const a of t){const t=x(a._children,e,i,o+1);for(const e in t)(0,n.isArray)(t[e])?a[e]=t[e].reduce(((t,e)=>t+e),0)/t[e].length:a[e]=t[e];for(const t of e.slice(1)){const e=a[t.field];if(t.field in s){const i=s[t.field];\"min\"===l?s[t.field]=Math.min(e,i):\"max\"===l?s[t.field]=Math.max(e,i):\"sum\"===l?s[t.field]=e+i:\"mean\"===l&&((0,n.isArray)(s[t.field])?s[t.field].push(e):s[t.field]=[i,e])}else s[t.field]=e}}return s}function v(t,e,i,o){const s=[],l=e[0].field;for(const o of t){const t=o[i[0]];let n=w(l,t,s);null==n&&(n={_children:[]},n[l]=t,s.push(n));let a=n;const r={};for(const t of i.slice(1)){a=w(l,o[t],a._children),null==a&&(a={_children:[]},a[l]=o[t],n._children.push(a)),r[t]=n;for(const t of e.slice(1))a[t.field]=o[t];n=a}for(const t of e.slice(1))a[t.field]=o[t.field]}const n=[];for(const t of i)n.push(t in o?o[t]:\"sum\");return x(s,e,n),s}i.CellClickEvent=y,y.__name__=\"CellClickEvent\";const T=function(t,e,i,o){const s=t.getValue(),l={zone:new window.luxon.IANAZone(\"UTC\")};let n;n=\"NaN\"===s||null===s?null:window.luxon.DateTime.fromMillis(s,l).toFormat(\"yyyy-MM-dd\");const a=document.createElement(\"input\");function r(){const t=window.luxon.DateTime.fromFormat(a.value,\"yyyy-MM-dd\",l).toMillis();t!=n?i(t):o()}return a.setAttribute(\"type\",\"date\"),a.style.padding=\"4px\",a.style.width=\"100%\",a.style.boxSizing=\"border-box\",a.value=n,e((()=>{a.focus(),a.style.height=\"100%\"})),a.addEventListener(\"blur\",r),a.addEventListener(\"keydown\",(function(t){13==t.keyCode&&r(),27==t.keyCode&&o()})),a},S=function(t,e,i,o){const s=t.getValue(),l={zone:new window.luxon.IANAZone(\"UTC\")};let n;n=\"NaN\"===s||null===s?null:window.luxon.DateTime.fromMillis(s,l).toFormat(\"yyyy-MM-dd'T'T\");const a=document.createElement(\"input\");function r(){const t=window.luxon.DateTime.fromFormat(a.value,\"yyyy-MM-dd'T'T\",l).toMillis();t!=n?i(t):o()}return a.setAttribute(\"type\",\"datetime-local\"),a.style.padding=\"4px\",a.style.width=\"100%\",a.style.boxSizing=\"border-box\",a.value=n,e((()=>{a.focus(),a.style.height=\"100%\"})),a.addEventListener(\"blur\",r),a.addEventListener(\"keydown\",(function(t){13==t.keyCode&&r(),27==t.keyCode&&o()})),a};class C extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._tabulator_cell_updating=!1,this._updating_page=!0,this._updating_sort=!1,this._relayouting=!1,this._selection_updating=!1,this._lastVerticalScrollbarTopPosition=0,this._applied_styles=!1}connect_signals(){super.connect_signals();const{configuration:t,layout:e,columns:i,theme:o,groupby:s}=this.model.properties;this.on_change([t,e,i,s],(0,_.debounce)((()=>this.invalidate_render()),20,!1)),this.on_change([o],(()=>this.setCSS())),this.connect(this.model.properties.download.change,(()=>{const t=this.model.filename.endsWith(\".json\")?\"json\":\"csv\";this.tabulator.download(t,this.model.filename)})),this.connect(this.model.properties.children.change,(()=>this.renderChildren())),this.connect(this.model.properties.expanded.change,(()=>{for(const t of this.tabulator.rowManager.getRows())t.cells.length>0&&t.cells[0].layoutElement()})),this.connect(this.model.properties.styles.change,(()=>{this._applied_styles&&this.tabulator.redraw(!0),this.setStyles()})),this.connect(this.model.properties.hidden_columns.change,(()=>this.setHidden())),this.connect(this.model.properties.page_size.change,(()=>this.setPageSize())),this.connect(this.model.properties.page.change,(()=>{this._updating_page||this.setPage()})),this.connect(this.model.properties.max_page.change,(()=>this.setMaxPage())),this.connect(this.model.properties.frozen_rows.change,(()=>this.setFrozen())),this.connect(this.model.properties.sorters.change,(()=>this.setSorters())),this.connect(this.model.source.properties.data.change,(()=>this.setData())),this.connect(this.model.source.streaming,(()=>this.addData())),this.connect(this.model.source.patching,(()=>{const t=this.model.source.selected.indices;this.updateOrAddData(),this.tabulator.rowManager.element.scrollTop=this._lastVerticalScrollbarTopPosition,this.model.source.selected.indices=t})),this.connect(this.model.source.selected.change,(()=>this.setSelection())),this.connect(this.model.source.selected.properties.indices.change,(()=>this.setSelection()))}get sorters(){const t=[];this.model.sorters.length&&t.push({column:\"_index\",dir:\"asc\"});for(const e of this.model.sorters.reverse())void 0===e.column&&(e.column=e.field),t.push(e);return t}invalidate_render(){this.tabulator.destroy(),this.tabulator=null,this.render(),this.relayout()}renderComplete(){this._initializing&&(this.setSelection(),this.relayout(),this._initializing=!1,this._lastVerticalScrollbarTopPosition&&(this.tabulator.rowManager.element.scrollTop=this._lastVerticalScrollbarTopPosition))}redraw(){this.tabulator.redraw(!0),this.setStyles()}after_layout(){super.after_layout(),null==this.tabulator||this._relayouting&&!this._initializing||this.redraw()}render(){super.render();if(this.setCSS())return;this._initializing=!0;const t=(0,c.div)({class:\"pnx-tabulator\"});(0,p.set_size)(t,this.model);let e=this.getConfiguration();this.tabulator=new Tabulator(t,e),this.renderChildren(!0),\"remote\"===this.model.pagination&&(this.tabulator.options.pagination=this.model.pagination,this.tabulator.modules.page.mode=\"remote\"),this.setGroupBy(),this.setHidden(),this.model.pagination?(this.setMaxPage(),this.tabulator.setPage(this.model.page),this.setData()):this.setFrozen(),this.el.appendChild(t)}tableInit(t,e){const i=e.modules.ajax;i.sendRequest=()=>t.requestPage(i.params.page,i.params.sorters),e.modules.page._parseRemoteData=()=>{}}relayout(){if(!this._relayouting){if(this._relayouting=!0,this.tabulator.rowManager.adjustTableSize(),this.update_layout(),this.compute_layout(),this.root!==this){this.invalidate_layout();const t=this.root._parent;null!=t&&null!=t.relayout&&t.relayout()}else null!=this._parent&&(null!=this._parent.relayout?this._parent.relayout():this._parent.invalidate_layout());this._relayouting=!1}}requestPage(t,e){return new Promise(((i,o)=>{try{if(null!=t&&null!=e){this._updating_sort=!0;const i=[];for(const t of e)\"_index\"!==t.field&&i.push({field:t.field,dir:t.dir});this.model.sorters=i,this._updating_sort=!1,this._updating_page=!0;try{this.model.page=t||1}finally{this._updating_page=!1}}i([])}catch(t){o(t)}}))}getLayout(){switch(this.model.layout){case\"fit_data\":return\"fitData\";case\"fit_data_fill\":return\"fitDataFill\";case\"fit_data_stretch\":return\"fitDataStretch\";case\"fit_data_table\":return\"fitDataTable\";case\"fit_columns\":return\"fitColumns\"}}getConfiguration(){let t=\"toggle\"===this.model.select_mode||NaN;const e=this;let i=Object.assign(Object.assign({},this.model.configuration),{index:\"_index\",nestedFieldSeparator:!1,movableColumns:!1,selectable:t,columns:this.getColumns(),dataSorting:t=>{const e=[];for(const i of t)\"_index\"!==i.field&&e.push({field:i.field,dir:i.dir});\"remote\"!==this.model.pagination&&(this._updating_sort=!0,this.model.sorters=e,this._updating_sort=!1)},initialSort:this.sorters,layout:this.getLayout(),pagination:this.model.pagination,paginationSize:this.model.page_size,paginationInitialPage:1,tableBuilding:function(){e.tableInit(e,this)},renderComplete:()=>this.renderComplete(),rowSelectionChanged:(t,e)=>this.rowSelectionChanged(t,e),rowClick:(t,e)=>this.rowClicked(t,e),cellEdited:t=>this.cellEdited(t),selectableCheck:t=>{const e=this.model.selectable_rows;return null==e||e.indexOf(t._row.data._index)>=0},tooltips:t=>t.getColumn().getField()+\": \"+t.getValue(),scrollVertical:(0,_.debounce)((()=>{this._lastVerticalScrollbarTopPosition=this.tabulator.rowManager.element.scrollTop,this.setStyles()}),50,!1),rowFormatter:t=>this._render_row(t),dataFiltering:()=>{null!=this.tabulator&&(this.model.filters=this.tabulator.getHeaderFilters())}});\"remote\"===this.model.pagination&&(i.ajaxURL=\"http://panel.pyviz.org\",i.ajaxSorting=!0);const o=this.model.source;let s;return s=null===o||0===o.columns().length?[]:(0,g.transform_cds_to_records)(o,!0),i.dataTree&&(s=v(s,this.model.columns,this.model.indexes,this.model.aggregators)),Object.assign(Object.assign({},i),{data:s})}renderChildren(t=!1){new Promise((async t=>{const e=[];for(const t of this.model.expanded)t in this.model.children&&e.push(this.model.children[t]);await(0,r.build_views)(this._child_views,e,{parent:null}),t(null)})).then((()=>{for(const t of this.model.expanded){const e=this.tabulator.getRow(t);this._render_row(e)}this.model.expanded.length||t||setTimeout((()=>this.relayout()),20)}))}_render_row(t){const e=t._row.data._index;if(this.model.expanded.indexOf(e)<0||!(e in this.model.children))return;const i=this.model.children[e],o=this._child_views.get(i);if(null==o)return;o._parent=this;const s=t.getElement();let l=s.children[s.children.length-1];if(\"bk\"===l.className){if(l.children.length)return}else l=null;if(null==l){const t=getComputedStyle(this.tabulator.element.children[1].children[0]).backgroundColor,e=\"-\"+s.style.paddingLeft;l=(0,c.div)({style:\"background-color: \"+t+\"; margin-left:\"+e})}t.getElement().appendChild(l),o.renderTo(l)}_expand_render(t){const e=t._cell.row.data._index;return\"<i>\"+(this.model.expanded.indexOf(e)<0?\"\\u25ba\":\"\\u25bc\")+\"</i>\"}_update_expand(t){const e=t._cell.row.data._index,i=[...this.model.expanded],o=i.indexOf(e);if(o<0)i.push(e);else{const t=i.splice(o,1)[0];if(t in this.model.children){const e=this.model.children[t],i=this._child_views.get(e);void 0!==i&&null!=i.el&&(0,l.undisplay)(i.el)}}this.model.expanded=i;const s=i.indexOf(e)<0?\"\\u25ba\":\"\\u25bc\";if(t._cell.element.innerText=s,i.indexOf(e)<0)return;let n=!0;for(const t of this.model.expanded)if(!(t in this.model.children)){n=!1;break}n&&this.renderChildren()}getData(){let t=(0,g.transform_cds_to_records)(this.model.source,!0);return this.model.configuration.dataTree&&(t=v(t,this.model.columns,this.model.indexes,this.model.aggregators)),t}getColumns(){var t;const e=null===(t=this.model.configuration)||void 0===t?void 0:t.columns;let i=[];if(i.push({field:\"_index\",frozen:!0}),null!=e)for(const t of e)if(null!=t.columns){const e=[];for(const i of t.columns)e.push(Object.assign({},i));i.push(Object.assign(Object.assign({},t),{columns:e}))}else if(\"expand\"===t.formatter){const t={hozAlign:\"center\",cellClick:(t,e)=>{this._update_expand(e)},formatter:t=>this._expand_render(t),width:40,frozen:!0};i.push(t)}else{const e=Object.assign({},t);\"rowSelection\"===e.formatter&&(e.cellClick=(t,e)=>{e.getRow().toggleSelect()}),i.push(e)}for(const t of this.model.columns){let o=null;if(null!=e)for(const e of i)if(null!=e.columns){for(const i of e.columns)if(t.field===i.field){o=i;break}if(null!=o)break}else if(t.field===e.field){o=e;break}if(null==o&&(o={field:t.field}),null==o.title&&(o.title=t.title),null==o.width&&null!=t.width&&0!=t.width&&(o.width=t.width),null==o.formatter&&null!=t.formatter){const e=t.formatter.type;o.formatter=\"BooleanFormatter\"===e?\"tickCross\":e=>{const i=t.formatter.doFormat(e.getRow(),e,e.getValue(),null,null);if(\"HTMLTemplateFormatter\"===t.formatter.type)return i;const o=(0,c.div)();o.innerHTML=i;const s=o.children[0];return\"function(){return c.convert(arguments)}\"===s.innerHTML?\"\":s}}const s=t.editor,l=s.type;null!=o.editor?\"date\"===o.editor?o.editor=T:\"datetime\"===o.editor&&(o.editor=S):\"StringEditor\"===l?s.completions.length>0?(o.editor=\"autocomplete\",o.editorParams={values:s.completions}):o.editor=\"input\":\"TextEditor\"===l?o.editor=\"textarea\":\"IntEditor\"===l||\"NumberEditor\"===l?(o.editor=\"number\",o.editorParams={step:s.step}):\"CheckboxEditor\"===l?o.editor=\"tickCross\":\"DateEditor\"===l?o.editor=T:\"SelectEditor\"===l?(o.editor=\"select\",o.editorParams={values:s.options}):null!=s&&null!=s.default_view&&(o.editor=(e,i,o,s)=>{this.renderEditor(t,e,i,o,s)}),o.editable=()=>this.model.editable&&null!=s.default_view,o.headerFilter&&\"boolean\"==typeof o.headerFilter&&\"string\"==typeof o.editor&&(o.headerFilter=o.editor,o.headerFilterParams=o.editorParams);for(const t of this.model.sorters)o.field===t.field&&(o.headerSortStartingDir=t.dir);o.cellClick=(e,i)=>{const o=i._cell.row.data._index;this.model.trigger_event(new y(t.field,o))},null==e&&i.push(o)}for(const t in this.model.buttons){const e={formatter:()=>this.model.buttons[t],hozAlign:\"center\",cellClick:(e,i)=>{const o=i._cell.row.data._index;this.model.trigger_event(new y(t,o))}};i.push(e)}return i}renderEditor(t,e,i,o,s){const l=t.editor,n=new l.default_view({column:t,model:l,parent:this,container:e._cell.element});return n.initialize(),n.connect_signals(),i((()=>{n.setValue(e.getValue())})),n.inputEl.addEventListener(\"change\",(()=>{const t=n.serializeValue(),i=e.getValue(),l=n.validate();l.valid||s(l.msg),null!=i&&typeof t!=typeof i?s(\"Mismatching type\"):o(n.serializeValue())})),n.inputEl}setData(){const t=this.getData();null!=this.model.pagination?this.tabulator.rowManager.setData(t,!0,!1):this.tabulator.setData(t),this.postUpdate()}addData(){const t=this.tabulator.rowManager.getRows(),e=t[t.length-1],i=(null==e?void 0:e.data._index)||0;this.setData(),this.postUpdate(),this.model.follow&&e&&this.tabulator.scrollToRow(i,\"top\",!1)}postUpdate(){this.model.pagination||this.setFrozen(),this.setSelection(),null==this.model.height&&null==this.model.pagination&&this.relayout()}updateOrAddData(){if(this._tabulator_cell_updating)return;let t=(0,g.transform_cds_to_records)(this.model.source,!0);this.tabulator.setData(t),this.postUpdate()}setFrozen(){for(const t of this.model.frozen_rows)this.tabulator.getRow(t).freeze()}setGroupBy(){if(0==this.model.groupby.length)return void this.tabulator.setGroupBy(!1);this.tabulator.setGroupBy((t=>{const e=[];for(const i of this.model.groupby){const o=i+\": \"+t[i];e.push(o)}return e.join(\", \")}))}setSorters(){this._updating_sort||this.tabulator.setSort(this.sorters)}setCSS(){let t;t=\"default\"==this.model.theme?\"tabulator\":\"tabulator_\"+this.model.theme;const e=this.model.theme_url+t+\".min.css\";let i=null;const o=document.getElementsByTagName(\"link\"),s=this.model.theme_url.indexOf(\"dist/\"),l=this.model.theme_url.slice(0,s);for(const t of o)if(t.href.indexOf(l)>=0){i=t;break}if(null!=i)return!i.href.endsWith(e)&&(i.href=e,setTimeout((()=>this.render()),100),!0);let n=document.getElementsByTagName(\"head\")[0];const a=document.createElement(\"link\");return a.type=\"text/css\",a.rel=\"stylesheet\",a.media=\"screen\",a.href=e,a.onload=()=>{this.render(),this.relayout()},n.appendChild(a),!0}setStyles(){if(null!=this.tabulator&&0!=this.tabulator.getDataCount()){this._applied_styles=!1;for(const t in this.model.styles.data){const e=this.model.styles.data[t],i=this.tabulator.getRow(t);if(!i)continue;const o=i._row.cells;for(const t in e){const i=e[t],s=o[t];if(null==s||!i.length)continue;const l=s.element;for(const t of i){let e,i;if((0,n.isArray)(t))[e,i]=t;else{if(!t.includes(\":\"))continue;[e,i]=t.split(\":\")}l.style.setProperty(e,i.trimLeft()),this._applied_styles=!0}}}}}setHidden(){for(const t of this.tabulator.getColumns()){const e=t._column;\"_index\"==e.field||this.model.hidden_columns.indexOf(e.field)>-1?t.hide():t.show()}}setMaxPage(){this.tabulator.setMaxPage(this.model.max_page),this.tabulator.modules.page.pagesElement&&this.tabulator.modules.page._setPageButtons()}setPage(){this.tabulator.setPage(Math.min(this.model.max_page,this.model.page))}setPageSize(){this.tabulator.setPageSize(this.model.page_size)}setSelection(){if(null==this.tabulator||this._selection_updating)return;const t=this.model.source.selected.indices,e=this.tabulator.getSelectedData().map((t=>t._index));if(JSON.stringify(t)!=JSON.stringify(e)){this._selection_updating=!0,this.tabulator.deselectRow(),this.tabulator.selectRow(t);for(const e of t){this.tabulator.rowManager.findRow(e)&&this.tabulator.scrollToRow(e,\"center\",!1).catch((()=>{}))}this._selection_updating=!1}}rowClicked(t,e){var i;if(this._selection_updating||this._initializing||\"string\"==typeof this.model.select_mode||!1===this.model.select_mode||this.model.configuration.dataTree||\"\\u25ba\"===(null===(i=t.srcElement)||void 0===i?void 0:i.innerText))return;let o=[];const s=this.model.source.selected,l=e._row.data._index;if(t.ctrlKey||t.metaKey)o=this.model.source.selected.indices;else if(t.shiftKey&&s.indices.length){const t=s.indices[s.indices.length-1];if(l>t)for(let e=t;e<l;e++)o.push(e);else for(let e=t;e>l;e--)o.push(e)}if(o.indexOf(l)<0?o.push(l):o.splice(o.indexOf(l),1),\"number\"==typeof this.model.select_mode)for(;o.length>this.model.select_mode;)o.shift();const n=this._filter_selected(o);this.tabulator.deselectRow(),this.tabulator.selectRow(n),this._selection_updating=!0,s.indices=n,this._selection_updating=!1}_filter_selected(t){const e=[];for(const i of t)(null==this.model.selectable_rows||this.model.selectable_rows.indexOf(i)>=0)&&e.push(i);return e}rowSelectionChanged(t,e){if(this._selection_updating||this._initializing||\"boolean\"==typeof this.model.select_mode||\"number\"==typeof this.model.select_mode||this.model.configuration.dataTree)return;const i=t.map((t=>t._index)),o=this._filter_selected(i);this._selection_updating=i.length===o.length,this.model.source.selected.indices=o,this._selection_updating=!1}cellEdited(t){const e=t._cell.column.field,i=t._cell.row.data._index,o=t._cell.value;this._tabulator_cell_updating=!0,f.comm_settings.debounce=!1;try{this.model.source.patch({[e]:[[i,o]]})}finally{f.comm_settings.debounce=!0,this._tabulator_cell_updating=!1}this.model.trigger_event(new b(e,i)),this.setSorters(),this.tabulator.scrollToRow(i,\"top\",!1)}}i.DataTabulatorView=C,C.__name__=\"DataTabulatorView\",i.TableLayout=(0,h.Enum)(\"fit_data\",\"fit_data_fill\",\"fit_data_stretch\",\"fit_data_table\",\"fit_columns\");class k extends a.HTMLBox{constructor(t){super(t)}static init_DataTabulator(){this.prototype.default_view=C,this.define((({Any:t,Array:e,Boolean:o,Nullable:s,Number:l,Ref:n,String:a})=>({aggregators:[t,{}],buttons:[t,{}],children:[t,{}],configuration:[t,{}],columns:[e(n(m.TableColumn)),[]],download:[o,!1],editable:[o,!0],expanded:[e(l),[]],filename:[a,\"table.csv\"],filters:[e(t),[]],follow:[o,!0],frozen_rows:[e(l),[]],groupby:[e(a),[]],hidden_columns:[e(a),[]],indexes:[e(a),[]],layout:[i.TableLayout,\"fit_data\"],max_page:[l,0],pagination:[s(a),null],page:[l,0],page_size:[l,0],select_mode:[t,!0],selectable_rows:[s(e(l)),null],source:[n(u.ColumnDataSource)],sorters:[e(t),[]],styles:[t,{}],theme:[a,\"simple\"],theme_url:[a,\"https://unpkg.com/tabulator-tables@4.9.3/dist/css/\"]})))}}i.DataTabulator=k,k.__name__=\"DataTabulator\",k.__module__=\"panel.models.tabulator\",k.init_DataTabulator()},\n      \"99a25e6992\": function _(n,l,u,t,e){function o(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}o.debounce=o,l.exports=o},\n      \"7f7d9e0c6b\": function _(n,t,e,o,r){o(),e.transform_cds_to_records=function(n,t=!1,e=0){const o=[],r=n.columns(),l=n.get_length();if(0===r.length||null===l)return[];for(let c=e;c<l;c++){const e={};for(const t of r){let o=n.get_array(t);const r=null==o[0].shape?null:o[0].shape;null!=r&&r.length>1&&\"number\"==typeof r[0]?e[t]=o.slice(c*r[1],c*r[1]+r[1]):e[t]=o[c]}t&&(e._index=c),o.push(e)}return o},e.dict_to_records=function(n,t=!0){for(let e=0;e<n.index.length;e++){const o={};for(const r of n)(t||\"index\"!==r)&&(o[r]=n[r][e])}return[]}},\n      \"6e11b2cfe2\": function _(e,t,i,s,n){s();const o=e(\"tslib\"),l=(0,o.__importDefault)(e(\"50d3473f3f\")),d=e(\"@bokehjs/models/widgets/input_widget\"),a=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/core/enums\"),c=e(\"@bokehjs/core/util/types\"),m=(0,o.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\")),h=(0,o.__importDefault)(e(\"@bokehjs/styles/widgets/flatpickr.css\"));function _(e){const t=[];for(const i of e)if((0,c.isString)(i))t.push(i);else{const[e,s]=i;t.push({from:e,to:s})}return t}class u extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:s,enabled_dates:n,position:o,inline:l,enable_time:d,enable_seconds:a,military_time:r,date_format:c,mode:m}=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(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(o.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)})),this.connect(d.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableTime\",this.model.enable_time)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableSeconds\",this.model.enable_seconds)})),this.connect(r.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"time_24hr\",this.model.military_time)})),this.connect(m.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"mode\",this.model.mode)})),this.connect(c.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"dateFormat\",this.model.date_format)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),h.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,a.input)({type:\"text\",class:m.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,l.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:_(this.model.disabled_dates),enable:_(this.model.enabled_dates),enableTime:this.model.enable_time,enableSeconds:this.model.enable_seconds,time_24hr:this.model.military_time,dateFormat:this.model.date_format,mode:this.model.mode,onClose:(e,t,i)=>this._on_close(e,t,i)}))}_on_close(e,t,i){(\"range\"!=this.model.mode||t.includes(\"to\"))&&(this.model.value=t,this.change_input())}}i.DatetimePickerView=u,u.__name__=\"DatetimePickerView\";class p extends d.InputWidget{constructor(e){super(e)}static init_DatetimePicker(){this.prototype.default_view=u,this.define((({Boolean:e,String:t,Array:i,Tuple:s,Or:n,Nullable:o})=>{const l=i(n(t,s(t,t)));return{value:[t],min_date:[o(t),null],max_date:[o(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[r.CalendarPosition,\"auto\"],inline:[e,!1],enable_time:[e,!0],enable_seconds:[e,!0],military_time:[e,!0],date_format:[t,\"Y-m-d H:i:S\"],mode:[t,\"single\"]}}))}}i.DatetimePicker=p,p.__name__=\"DatetimePicker\",p.__module__=\"panel.models.datetime_picker\",p.init_DatetimePicker()},\n      \"50d3473f3f\": 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<a;t++)for(var i in n=arguments[t])Object.prototype.hasOwnProperty.call(n,i)&&(e[i]=n[i]);return e},e.apply(this,arguments)};function n(){for(var e=0,n=0,t=arguments.length;n<t;n++)e+=arguments[n].length;var a=Array(e),i=0;for(n=0;n<t;n++)for(var o=arguments[n],r=0,l=o.length;r<l;r++,i++)a[i]=o[r];return a}var 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l&&l.getTime()===t.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==t&&r.from&&r.to&&t.getTime()>=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 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d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&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\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||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&&c<t&&l.top>t,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;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.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]&&a<t.length;a++)t[a](w.selectedDates,w.input.value,w,n);\"onChange\"===e&&(w.input.dispatchEvent(he(\"change\")),w.input.dispatchEvent(he(\"input\")))}}function he(e){var n=document.createEvent(\"Event\");return n.initEvent(e,!0,!0),n}function ve(e){for(var n=0;n<w.selectedDates.length;n++)if(0===M(w.selectedDates[n],e))return\"\"+n;return!1}function De(){w.config.noCalendar||w.isMobile||!w.monthNav||(w.yearElements.forEach((function(e,n){var t=new 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         to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in\n          all copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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     \"9d046c4720\": function _(t,e,s,h,i){h();const r=t(\"@bokehjs/models/layouts/html_box\");class n extends r.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>this._plot()));const{width:t,height:e,renderer:s,theme:h}=this.model.properties;this.on_change([t,e],(()=>this._resize())),this.on_change([h,s],(()=>this.render()))}render(){super.render();const t={width:this.model.width,height:this.model.height,renderer:this.model.renderer};null!=this._chart&&window.echarts.dispose(this._chart),this._chart=window.echarts.init(this.el,this.model.theme,t),this._plot()}after_layout(){super.after_layout(),this._chart.resize()}_plot(){null!=window.echarts&&this._chart.setOption(this.model.data)}_resize(){this._chart.resize({width:this.model.width,height:this.model.height})}}s.EChartsView=n,n.__name__=\"EChartsView\";class a extends r.HTMLBox{constructor(t){super(t)}static init_ECharts(){this.prototype.default_view=n,this.define((({Any:t,String:e})=>({data:[t,{}],theme:[e,\"default\"],renderer:[e,\"canvas\"]})))}}s.ECharts=a,a.__name__=\"ECharts\",a.__module__=\"panel.models.echarts\",a.init_ECharts()},\n      \"c424a3bd17\": function _(e,t,n,s,r){s();const i=e(\"@bokehjs/models/widgets/markup\"),o=e(\"@bokehjs/core/bokeh_events\"),_=e(\"4c755983eb\"),l=e(\"c4ee233e58\");class a extends o.ModelEvent{constructor(e,t){super(),this.node=e,this.data=t,this.event_name=\"dom_event\"}_to_json(){return{model:this.origin,node:this.node,data:this.data}}}function c(e){return(new DOMParser).parseFromString(e,\"text/html\").documentElement.textContent}function d(e){Array.from(e.querySelectorAll(\"script\")).forEach((e=>{const t=document.createElement(\"script\");Array.from(e.attributes).forEach((e=>t.setAttribute(e.name,e.value))),t.appendChild(document.createTextNode(e.innerHTML)),e.parentNode&&e.parentNode.replaceChild(t,e)}))}n.DOMEvent=a,a.__name__=\"DOMEvent\",n.htmlDecode=c,n.runScripts=d;class h extends _.PanelMarkupView{constructor(){super(...arguments),this._event_listeners={}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()}))}render(){super.render();const e=this.process_tex();e?(this.markup_el.innerHTML=e,d(this.markup_el),this._setup_event_listeners()):this.markup_el.innerHTML=\"\"}process_tex(){const e=c(this.model.text)||this.model.text;if(this.model.disable_math||!this.contains_tex(e))return e;const t=this.provider.MathJax.find_tex(e),n=[];let s=0;for(const r of t)n.push(e.slice(s,r.start.n)),n.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),s=r.end.n;return s<e.length&&n.push(e.slice(s)),n.join(\"\")}contains_tex(e){return!!this.provider.MathJax&&this.provider.MathJax.find_tex(e).length>0}_remove_event_listeners(){for(const e in this._event_listeners){const t=document.getElementById(e);if(null!=t)for(const n in this._event_listeners[e]){const s=this._event_listeners[e][n];t.removeEventListener(n,s)}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}this._event_listeners={}}_setup_event_listeners(){for(const e in this.model.events){const t=document.getElementById(e);if(null!=t)for(const n of this.model.events[e]){const s=t=>{this.model.trigger_event(new a(e,(0,l.serializeEvent)(t)))};t.addEventListener(n,s),e in this._event_listeners||(this._event_listeners[e]={}),this._event_listeners[e][n]=s}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}}}n.HTMLView=h,h.__name__=\"HTMLView\";class u extends i.Markup{constructor(e){super(e)}static init_HTML(){this.prototype.default_view=h,this.define((({Any:e})=>({events:[e,{}]})))}}n.HTML=u,u.__name__=\"HTML\",u.__module__=\"panel.models.markup\",u.init_HTML()},\n      \"c4ee233e58\": function _(e,t,a,r,n){function o(e){let t=null;return e&&(t=function(e){return{boundingClientRect:Object.assign({},e.getBoundingClientRect())}}(e),e.tagName in l&&l[e.tagName].forEach((a=>Object.assign(t,a(e))))),t}r(),a.serializeEvent=\n      /*\n          The MIT License (MIT)\n          \n          Copyright (c) 2019 Ryan S. Morshead\n          \n          Permission is hereby granted, free of charge, to any person obtaining a copy\n          of this software and associated documentation files (the \"Software\"), to deal\n          in the Software without restriction, including without limitation the rights\n          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in all\n          copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n          SOFTWARE.\n          */\n      function(e){const t={};return e.type in d&&Object.assign(t,d[e.type](e)),t.target=o(e.target),t.currentTarget=e.target===e.currentTarget?t.target:o(e.currentTarget),t.relatedTarget=o(e.relatedTarget),t};const i={hasValue:e=>({value:e.value}),hasCurrentTime:e=>({currentTime:e.currentTime}),hasFiles:e=>\"file\"===(null==e?void 0:e.type)?{files:Array.from(e.files).map((e=>({lastModified:e.lastModified,name:e.name,size:e.size,type:e.type})))}:{}};const s={hasValue:[\"BUTTON\",\"INPUT\",\"OPTION\",\"LI\",\"METER\",\"PROGRESS\",\"PARAM\",\"SELECT\",\"TEXTAREA\"],hasCurrentTime:[\"AUDIO\",\"VIDEO\"],hasFiles:[\"INPUT\"]},l={};Object.keys(s).forEach((e=>{s[e].forEach((t=>{(l[t]||(l[t]=[])).push(i[e])}))}));class c{clipboard(e){return{clipboardData:e.clipboardData}}composition(e){return{data:e.data}}keyboard(e){return{altKey:e.altKey,charCode:e.charCode,ctrlKey:e.ctrlKey,key:e.key,keyCode:e.keyCode,locale:e.locale,location:e.location,metaKey:e.metaKey,repeat:e.repeat,shiftKey:e.shiftKey,which:e.which}}mouse(e){return{altKey:e.altKey,button:e.button,buttons:e.buttons,clientX:e.clientX,clientY:e.clientY,ctrlKey:e.ctrlKey,metaKey:e.metaKey,pageX:e.pageX,pageY:e.pageY,screenX:e.screenX,screenY:e.screenY,shiftKey:e.shiftKey}}pointer(e){return Object.assign(Object.assign({},this.mouse(e)),{pointerId:e.pointerId,width:e.width,height:e.height,pressure:e.pressure,tiltX:e.tiltX,tiltY:e.tiltY,pointerType:e.pointerType,isPrimary:e.isPrimary})}selection(){return{selectedText:window.getSelection().toString()}}touch(e){return{altKey:e.altKey,ctrlKey:e.ctrlKey,metaKey:e.metaKey,shiftKey:e.shiftKey}}ui(e){return{detail:e.detail}}wheel(e){return{deltaMode:e.deltaMode,deltaX:e.deltaX,deltaY:e.deltaY,deltaZ:e.deltaZ}}animation(e){return{animationName:e.animationName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime}}transition(e){return{propertyName:e.propertyName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime}}}c.__name__=\"EventTransformCategories\";const u={clipboard:[\"copy\",\"cut\",\"paste\"],composition:[\"compositionend\",\"compositionstart\",\"compositionupdate\"],keyboard:[\"keydown\",\"keypress\",\"keyup\"],mouse:[\"click\",\"contextmenu\",\"doubleclick\",\"drag\",\"dragend\",\"dragenter\",\"dragexit\",\"dragleave\",\"dragover\",\"dragstart\",\"drop\",\"mousedown\",\"mouseenter\",\"mouseleave\",\"mousemove\",\"mouseout\",\"mouseover\",\"mouseup\"],pointer:[\"pointerdown\",\"pointermove\",\"pointerup\",\"pointercancel\",\"gotpointercapture\",\"lostpointercapture\",\"pointerenter\",\"pointerleave\",\"pointerover\",\"pointerout\"],selection:[\"select\"],touch:[\"touchcancel\",\"touchend\",\"touchmove\",\"touchstart\"],ui:[\"scroll\"],wheel:[\"wheel\"],animation:[\"animationstart\",\"animationend\",\"animationiteration\"],transition:[\"transitionend\"]},d={},p=new c;Object.keys(u).forEach((e=>{u[e].forEach((t=>{d[t]=p[e]}))}))},\n      \"7d45bd3bc4\": function _(require,module,exports,__esModule,__esExport){__esModule();const preact_1=require(\"6f11f2ef27\"),hooks_1=require(\"4c02a9b43f\"),preact_2=require(\"b3f51db71c\"),fast_json_patch_1=require(\"cbecfde9cd\"),html_box_1=require(\"@bokehjs/models/layouts/html_box\"),layout_1=require(\"4c755983eb\"),event_to_object_1=require(\"c4ee233e58\"),LayoutConfigContext=(0,preact_1.createContext)({});function mountLayout(e,t,o,n){(0,preact_1.render)(preact_2.html`\n            <${Layout}\n              saveUpdateHook=${t}\n              sendEvent=${o}\n              importSourceUrl=${n}\n            />\n          `,e)}function Layout({saveUpdateHook:e,sendEvent:t,importSourceUrl:o}){const[n,r]=useInplaceJsonPatch({});return(0,hooks_1.useEffect)((()=>e(r)),[r]),n.tagName?preact_2.html`\n            <${LayoutConfigContext.Provider}\n              value=${{sendEvent:t,importSourceUrl:o}}\n            >\n              <${Element} model=${n} />\n            <//>\n          `:preact_2.html`<div />`}function Element({model:e}){return e.importSource?preact_2.html`<${ImportedElement} model=${e} />`:preact_2.html`<${StandardElement} model=${e} />`}function ImportedElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=useLazyModule(e.importSource.source,t.importSourceUrl);if(o){const n=getPathProperty(o,e.tagName),r=elementChildren(e),a=elementAttributes(e,t.sendEvent);return preact_2.html`<${n} ...${a}>${r}<//>`}{const t=e.importSource.fallback;if(!t)return preact_2.html`<div />`;switch(typeof t){case\"object\":return preact_2.html`<${Element} model=${t} />`;case\"string\":return preact_2.html`<div>${t}</div>`;default:return null}}}function StandardElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=elementChildren(e),n=elementAttributes(e,t.sendEvent);return e.children&&e.children.length?preact_2.html`<${e.tagName} ...${n}>${o}<//>`:preact_2.html`<${e.tagName} ...${n} />`}function elementChildren(e){return e.children?e.children.map((e=>{switch(typeof e){case\"object\":return preact_2.html`<${Element} model=${e} />`;case\"string\":return e;default:return null}})):[]}function elementAttributes(e,t){const o=Object.assign({},e.attributes);return e.eventHandlers&&Object.keys(e.eventHandlers).forEach((n=>{const r=e.eventHandlers[n];o[n]=eventHandler(t,r)})),o}function eventHandler(e,t){return function(){const o=Array.from(arguments).map((e=>\"object\"==typeof e?(t.preventDefault&&e.preventDefault(),t.stopPropagation&&e.stopPropagation(),(0,event_to_object_1.serializeEvent)(e)):e));return new Promise((n=>{const r={data:o,target:t.target};e(r),n(r)}))}}function useLazyModule(source,sourceUrlBase=\"\"){const[module,setModule]=(0,hooks_1.useState)(null);return module||eval(`import('${joinUrl(sourceUrlBase,source)}')`).then(setModule),module}function getPathProperty(e,t){const o=t.split(\".\");let n=e[o.shift()];for(let e=0;e<o.length;e++)n=n[o[e]];return n}function useInplaceJsonPatch(e){const 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layout_1.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.event.change,(()=>{this._update(...this.model.event),setTimeout((()=>{requestAnimationFrame((()=>this.fix_layout()))}))}))}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout(),(0,layout_1.set_size)(this.el,this.model)}initialize(){super.initialize(),mountLayout(this.el,(e=>this._save_update(e)),(e=>this._send(e)),this.model.importSourceUrl)}async lazy_initialize(){await super.lazy_initialize(),await new Promise((e=>{const t=()=>{this._update?e(null):setTimeout(t,100)};t()}))}_save_update(e){this._update=e}async render(){super.render(),this._update(...this.model.event),await new Promise((e=>{const t=()=>{this.el.children.length?(this.fix_layout(),e(null)):setTimeout(t,50)};t()}))}_send(e){this.model.msg=e}}exports.IDOMView=IDOMView,IDOMView.__name__=\"IDOMView\";class IDOM extends html_box_1.HTMLBox{constructor(e){super(e)}static 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c=/(^\\d{1,4}[\\.|\\\\/|-]\\d{1,2}[\\.|\\\\/|-]\\d{1,4})(\\s*(?:0?[1-9]:[0-5]|1(?=[012])\\d:[0-5])\\d\\s*[ap]m)?$/,p=/\\d{2}:\\d{2}:\\d{2} GMT-\\d{4}/,j=/\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}.\\d{3}Z/,h=window.requestAnimationFrame||function(t){return t(),0},u={hoverPreviewEnabled:!1,hoverPreviewArrayCount:100,hoverPreviewFieldCount:5,animateOpen:!0,animateClose:!0,theme:null,useToJSON:!0,sortPropertiesBy:null},g=function(){function t(t,e,r,n){void 0===e&&(e=1),void 0===r&&(r=u),this.json=t,this.open=e,this.config=r,this.key=n,this._isOpen=null,void 0===this.config.hoverPreviewEnabled&&(this.config.hoverPreviewEnabled=u.hoverPreviewEnabled),void 0===this.config.hoverPreviewArrayCount&&(this.config.hoverPreviewArrayCount=u.hoverPreviewArrayCount),void 0===this.config.hoverPreviewFieldCount&&(this.config.hoverPreviewFieldCount=u.hoverPreviewFieldCount),void 0===this.config.useToJSON&&(this.config.useToJSON=u.useToJSON),\"\"===this.key&&(this.key='\"\"')}return 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t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(l(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(l(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(l(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(m).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return 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e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():h(i))};h(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+l(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():h(n))};h(n)}else e&&(e.innerHTML=\"\")},t}();r.default=g},\n      \"be9f51fc39\": function _(e,t,s,o,i){o();const n=e(\"@bokehjs/core/bokeh_events\"),d=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"4c755983eb\");class a extends n.ModelEvent{constructor(e){super(),this.data=e,this.event_name=\"json_edit\"}_to_json(){return{model:this.origin,data:this.data}}}s.JSONEditEvent=a,a.__name__=\"JSONEditEvent\";class m extends 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o.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,(()=>this._update_button_style())),this.connect(this.model.properties.filename.change,(()=>this._update_download())),this.connect(this.model.properties._transfers.change,(()=>this._handle_click())),this.connect(this.model.properties.label.change,(()=>this._update_label())),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()))}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el),this.input_el=(0,d.input)({type:\"bk_btn, bk_btn_type\"}),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}styles(){return[...super.styles(),a.default]}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],s=new ArrayBuffer(t.length),l=new Uint8Array(s);for(let e=0;e<t.length;e++)l[e]=t.charCodeAt(e);return new Blob([s],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){const e=h[`btn_${this.model.button_type}`];if(this.anchor_el.hasAttribute(\"class\")){const t=this.anchor_el.classList.item(1);t&&this.anchor_el.classList.replace(t,e)}else this.anchor_el.classList.add(h.btn),this.anchor_el.classList.add(e)}set_disabled(){this.model.disabled?this.anchor_el.setAttribute(\"disabled\",\"\"):this.anchor_el.removeAttribute(\"disabled\")}}i.FileDownloadView=r,r.__name__=\"FileDownloadView\";class c extends o.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=r,this.define((({Boolean:e,Int:t,Nullable:i,String:s})=>({auto:[e,!1],clicks:[t,0],data:[i(s),null],label:[s,\"Download\"],filename:[i(s),null],button_type:[_.ButtonType,\"default\"],_transfers:[t,0]}))),this.override({title:\"\"})}}i.FileDownload=c,c.__name__=\"FileDownload\",c.__module__=\"panel.models.widgets\",c.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i,a,n){a();const s=e(\"@bokehjs/models/widgets/markup\"),r=e(\"4c755983eb\");class l extends r.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=l,l.__name__=\"KaTeXView\";class d extends s.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=l}}i.KaTeX=d,d.__name__=\"KaTeX\",d.__module__=\"panel.models.katex\",d.init_KaTeX()},\n      \"0c52a301f3\": function _(e,o,t,i,h){i();const a=e(\"@bokehjs/core/view\"),s=e(\"@bokehjs/model\");class n extends a.View{initialize(){super.initialize(),this.model.pathname=window.location.pathname,this.model.search=window.location.search,this.model.hash=window.location.hash,this.model.href=window.location.href,this.model.hostname=window.location.hostname,this.model.protocol=window.location.protocol,this.model.port=window.location.port,this._hash_listener=()=>{this.model.hash=window.location.hash},window.addEventListener(\"hashchange\",this._hash_listener)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.pathname.change,(()=>this.update(\"pathname\"))),this.connect(this.model.properties.search.change,(()=>this.update(\"search\"))),this.connect(this.model.properties.hash.change,(()=>this.update(\"hash\"))),this.connect(this.model.properties.reload.change,(()=>this.update(\"reload\")))}remove(){super.remove(),window.removeEventListener(\"hashchange\",this._hash_listener)}update(e){this.model.reload&&\"reload\"!==e?(\"pathname\"==e&&(window.location.pathname=this.model.pathname),\"search\"==e&&(window.location.search=this.model.search),\"hash\"==e&&(window.location.hash=this.model.hash)):(window.history.pushState({},\"\",`${this.model.pathname}${this.model.search}${this.model.hash}`),this.model.href=window.location.href,\"reload\"===e&&window.location.reload())}}t.LocationView=n,n.__name__=\"LocationView\";class l extends s.Model{constructor(e){super(e)}static init_Location(){this.prototype.default_view=n,this.define((({Boolean:e,String:o})=>({href:[o,\"\"],hostname:[o,\"\"],pathname:[o,\"\"],protocol:[o,\"\"],port:[o,\"\"],search:[o,\"\"],hash:[o,\"\"],reload:[e,!1]})))}}t.Location=l,l.__name__=\"Location\",l.__module__=\"panel.models.location\",l.init_Location()},\n      \"0c21036737\": function _(e,t,a,i,s){i();const h=e(\"@bokehjs/models/widgets/markup\"),_=e(\"4c755983eb\");class n extends _.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=n,n.__name__=\"MathJaxView\";class u extends h.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=n}}a.MathJax=u,u.__name__=\"MathJax\",u.__module__=\"panel.models.mathjax\",u.init_MathJax()},\n      \"4ae96bd77b\": function _(e,t,s,i,n){i();const l=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/sources/column_data_source\"),c=e(\"4c755983eb\"),a={\"material-dark\":\"Material Dark\",material:\"Material Light\",\"material-dense\":\"Material Light\",\"material-dense-dark\":\"Material Dark\",vaporwave:\"Vaporwave\",solarized:\"Solarized\",\"solarized-dark\":\"Solarized Dark\",monokai:\"Monokai\"},h={datagrid:\"Datagrid\",d3_x_bar:\"X Bar\",d3_y_bar:\"Y Bar\",d3_xy_line:\"X/Y Line\",d3_y_line:\"Y Line\",d3_y_area:\"Y Area\",d3_y_scatter:\"Y Scatter\",d3_xy_scatter:\"X/Y Scatter\",d3_treemap:\"Treemap\",d3_candlestick:\"Candlestick\",d3_sunburst:\"Sunburst\",d3_heatmap:\"Heatmap\",d3_ohlc:\"OHLC\"};function p(e){const t={};return Object.keys(e).forEach((s=>{t[e[s]]=s})),t}const _=p(h),d=p(a);class m extends c.PanelHTMLBoxView{constructor(){super(...arguments),this._updating=!1,this._config_listener=null,this._current_config=null,this._event_listener=null,this._loaded=!1}connect_signals(){super.connect_signals(),this.connect(this.model.source.properties.data.change,(()=>this.setData())),this.connect(this.model.properties.toggle_config.change,(()=>{this.perspective_element.toggleConfig(),this.fix_layout()})),this.connect(this.model.properties.columns.change,(()=>{this.perspective_element.restore({columns:this.model.columns})})),this.connect(this.model.properties.expressions.change,(()=>{this.perspective_element.restore({expressions:this.model.expressions})})),this.connect(this.model.properties.split_by.change,(()=>{this.perspective_element.restore({split_by:this.model.split_by})})),this.connect(this.model.properties.group_by.change,(()=>{this.perspective_element.restore({group_by:this.model.group_by})})),this.connect(this.model.properties.aggregates.change,(()=>{this.perspective_element.restore({aggregates:this.model.aggregates})})),this.connect(this.model.properties.filters.change,(()=>{this.perspective_element.restore({filter:this.model.filters})})),this.connect(this.model.properties.sort.change,(()=>{this.perspective_element.restore({sort:this.model.sort})})),this.connect(this.model.properties.plugin.change,(()=>{this.perspective_element.restore({plugin:h[this.model.plugin]})})),this.connect(this.model.properties.selectable.change,(()=>{this.perspective_element.restore({plugin_config:Object.assign(Object.assign({},this._current_config),{selectable:this.model.selectable})})})),this.connect(this.model.properties.editable.change,(()=>{this.perspective_element.restore({plugin_config:Object.assign(Object.assign({},this._current_config),{editable:this.model.editable})})})),this.connect(this.model.properties.theme.change,(()=>{this.perspective_element.restore({theme:a[this.model.theme]}).catch((()=>{}))})),null!=this.model.document&&(this._event_listener=e=>this.on_event(e),this.model.document.on_change(this._event_listener))}disconnect_signals(){null!=this._config_listener&&this.perspective_element.removeEventListener(\"perspective-config-update\",this._config_listener),this._config_listener=null,null!=this.model.document&&null!=this._event_listener&&this.model.document.remove_on_change(this._event_listener),this._event_listener=null,super.disconnect_signals()}async render(){super.render(),this.worker=window.perspective.worker(),this.table=await this.worker.table(this.model.schema),this.table.update(this.data);const e=(0,o.div)({class:\"pnx-perspective-viewer\",style:{zIndex:0}});(0,c.set_size)(e,this.model),e.innerHTML=\"<perspective-viewer style='height:100%; width:100%;'></perspective-viewer>\",this.perspective_element=e.children[0],this.perspective_element.resetThemes([...Object.values(a)]).catch((()=>{})),(0,c.set_size)(this.perspective_element,this.model),this.el.appendChild(e),this.perspective_element.load(this.table);const t=Object.assign(Object.assign({},this.model.plugin_config),{editable:this.model.editable,selectable:this.model.selectable});this.perspective_element.restore({aggregates:this.model.aggregates,columns:this.model.columns,expressions:this.model.expressions,filter:this.model.filters,split_by:this.model.split_by,group_by:this.model.group_by,plugin:h[this.model.plugin],plugin_config:t,sort:this.model.sort,theme:a[this.model.theme]}).catch((()=>{})),this._config_listener=()=>this.sync_config(),this._current_config=await this.perspective_element.save(),this.model.toggle_config&&this.perspective_element.toggleConfig(),this.perspective_element.addEventListener(\"perspective-config-update\",this._config_listener),this._loaded=!0,this.fix_layout()}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout()}sync_config(){return this._updating||this.perspective_element.save().then((e=>{this._current_config=e;const t={};for(let s in e){let i=e[s];void 0===i||\"plugin\"==s&&\"debug\"===i||\"settings\"===s||(\"filter\"===s?s=\"filters\":\"plugin\"===s?i=_[i]:\"theme\"===s&&(i=d[i]),t[s]=i)}this._updating=!0,this.model.setv(t),this._updating=!1})),!0}on_event(e){null!=(e=e.hint)&&null!=e.column_source&&e.column_source.id==this.model.source.id&&(void 0!==e.rollover?this.stream(e.data,e.rollover):void 0!==e.patches&&this.patch(e.patches))}get data(){const e={};for(const t of this.model.source.columns())e[t]=this.model.source.get_array(t);return e}stream(e,t){this._loaded&&(null==t?this.table.update(e):this.table.replace(this.data))}patch(e){this.table.replace(this.data)}setData(){this._loaded&&this.table.load(this.data)}}s.PerspectiveView=m,m.__name__=\"PerspectiveView\";class g extends l.HTMLBox{constructor(e){super(e)}static init_Perspective(){this.prototype.default_view=m,this.define((({Any:e,Array:t,Boolean:s,Ref:i,Nullable:n,String:l})=>({aggregates:[e],columns:[t(n(l))],expressions:[n(t(l))],split_by:[n(t(l))],editable:[n(s)],filters:[n(t(e))],group_by:[n(t(l))],plugin:[l],plugin_config:[e],selectable:[n(s)],schema:[e,{}],toggle_config:[s,!0],sort:[n(t(t(l)))],source:[i(r.ColumnDataSource)],theme:[l]})))}}s.Perspective=g,g.__name__=\"Perspective\",g.__module__=\"panel.models.perspective\",g.init_Perspective()},\n      \"27b8bb6d20\": function _(e,t,i,s,o){s();const l=e(\"@bokehjs/core/kinds\"),n=e(\"@bokehjs/core/dom\"),a=e(\"@bokehjs/models/widgets/widget\");function r(e){e.forEach((e=>e.style.borderStyle=\"inset\"))}function d(e){e.forEach((e=>e.style.borderStyle=\"outset\"))}class h extends a.WidgetView{constructor(){super(...arguments),this._changing=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.direction.change,(()=>this.set_direction())),this.connect(this.model.properties.value.change,(()=>this.render())),this.connect(this.model.properties.loop_policy.change,(()=>this.set_loop_state(this.model.loop_policy))),this.connect(this.model.properties.disabled.change,(()=>this.toggle_disable())),this.connect(this.model.properties.show_loop_controls.change,(()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.groupEl.removeChild(this.loop_state)}))}toggle_disable(){this.sliderEl.disabled=this.model.disabled;for(const e of this.buttonEl.children){e.disabled=this.model.disabled}for(const e of this.loop_state.children)if(\"input\"==e.tagName){e.disabled=this.model.disabled}}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=(0,n.div)(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=(0,n.div)();this.buttonEl=e,e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",i=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",s=document.createElement(\"button\");s.style.cssText=t,s.appendChild(document.createTextNode(\"\\u2013\")),s.onclick=()=>this.slower(),e.appendChild(s);const o=document.createElement(\"button\");o.style.cssText=i,o.appendChild(document.createTextNode(\"\\u275a\\u25c0\\u25c0\")),o.onclick=()=>this.first_frame(),e.appendChild(o);const l=document.createElement(\"button\");l.style.cssText=i,l.appendChild(document.createTextNode(\"\\u275a\\u25c0\")),l.onclick=()=>this.previous_frame(),e.appendChild(l);const a=document.createElement(\"button\");a.style.cssText=i,a.appendChild(document.createTextNode(\"\\u25c0\")),a.onclick=()=>this.reverse_animation(),e.appendChild(a);const h=document.createElement(\"button\");h.style.cssText=i,h.appendChild(document.createTextNode(\"\\u275a\\u275a\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const c=document.createElement(\"button\");c.style.cssText=i,c.appendChild(document.createTextNode(\"\\u25b6\")),c.onclick=()=>this.play_animation(),e.appendChild(c);const p=document.createElement(\"button\");p.style.cssText=i,p.appendChild(document.createTextNode(\"\\u25b6\\u275a\")),p.onclick=()=>this.next_frame(),e.appendChild(p);const m=document.createElement(\"button\");m.style.cssText=i,m.appendChild(document.createTextNode(\"\\u25b6\\u25b6\\u275a\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{d([h,c]),r([a])},this._toogle_pause=()=>{d([a,c]),r([h])},this._toggle_play=()=>{d([a,h]),r([c])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.toggle_disable(),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var i=e[t];if(i.checked)return i.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,i=0;i<t.length;i++){var s=t[i];s.value==e&&(s.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}set_direction(){this._changing||(0===this.model.direction?this.pause_animation():1===this.model.direction?this.play_animation():-1===this.model.direction&&this.reverse_animation())}pause_animation(){this._toogle_pause(),this._changing=!0,this.model.direction=0,this._changing=!1,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this._changing=!0,this.model.direction=1,this._changing=!1,this.timer||(this.timer=setInterval((()=>this.anim_step_forward()),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this._changing=!0,this.model.direction=-1,this._changing=!1,this.timer||(this.timer=setInterval((()=>this.anim_step_reverse()),this.model.interval))}}i.PlayerView=h,h.__name__=\"PlayerView\",i.LoopPolicy=(0,l.Enum)(\"once\",\"loop\",\"reflect\");class c extends a.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=h,this.define((({Boolean:e,Int:t})=>({direction:[t,0],interval:[t,500],start:[t,0],end:[t,10],step:[t,1],loop_policy:[i.LoopPolicy,\"once\"],value:[t,0],show_loop_controls:[e,!0]}))),this.override({width:400})}}i.Player=c,c.__name__=\"Player\",c.__module__=\"panel.models.widgets\",c.init_Player()},\n      \"42de27e56c\": function _(t,e,o,i,l){i();const s=t(\"@bokehjs/core/dom\"),r=t(\"@bokehjs/core/util/object\"),a=t(\"@bokehjs/core/util/eq\"),n=t(\"@bokehjs/models/layouts/html_box\"),p=t(\"@bokehjs/models/sources/column_data_source\"),_=t(\"99a25e6992\"),h=t(\"990b5dd5c7\"),u=t(\"4c755983eb\"),d=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let s={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||(0,h.isPlainObject)(e)||(s[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(s.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(s.pointNumbers=i.pointNumbers)),o[t]=s}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class y extends u.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=(0,_.debounce)((()=>{this._relayouting=!1}),2e3,!1)}initialize(){super.initialize(),this._layout_wrapper=(0,s.div)({style:\"height: 100%; width: 100%;\"})}connect_signals(){super.connect_signals();const{data:t,data_sources:e,layout:o,relayout:i,restyle:l}=this.model.properties;this.on_change([t,e,o],(()=>{const t=this.model._render_count;setTimeout((()=>{this.model._render_count===t&&(this.model._render_count+=1)}),250)})),this.on_change([i],(()=>{null!=this.model.relayout&&(window.Plotly.relayout(this._layout_wrapper,this.model.relayout),this.model.relayout=null)})),this.on_change([l],(()=>{null!=this.model.restyle&&(window.Plotly.restyle(this._layout_wrapper,this.model.restyle.data,this.model.restyle.traces),this.model.restyle=null)})),this.connect(this.model.properties.viewport_update_policy.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties.viewport_update_throttle.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties._render_count.change,(()=>{this.plot()})),this.connect(this.model.properties.frames.change,(()=>{this.plot(!0)})),this.connect(this.model.properties.viewport.change,(()=>this._updateViewportFromProperty())),this.connect(this.model.properties.visibility.change,(()=>{this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\"}))}async render(){super.render(),this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\",this.el.appendChild(this._layout_wrapper),await this.plot(),window.Plotly.relayout(this._layout_wrapper,this.model.relayout)}_trace_data(){const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));return t}_layout_data(){const t=(0,h.deepCopy)(this.model.layout);if(this._relayouting){const{layout:e}=this._layout_wrapper;Object.keys(e).reduce(((e,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in e&&(t[o].range=e.range)}),{})}return t}_install_callbacks(){this._layout_wrapper.on(\"plotly_relayout\",(t=>{!0!==t._update_from_property&&(this.model.relayout_data=d(this._layout_wrapper,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())})),this._layout_wrapper.on(\"plotly_relayouting\",(()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())})),this._layout_wrapper.on(\"plotly_restyle\",(t=>{this.model.restyle_data=d(this._layout_wrapper,t,\"restyle\"),this._updateViewportProperty()})),this._layout_wrapper.on(\"plotly_click\",(t=>{this.model.click_data=d(this._layout_wrapper,t,\"click\")})),this._layout_wrapper.on(\"plotly_hover\",(t=>{this.model.hover_data=d(this._layout_wrapper,t,\"hover\")})),this._layout_wrapper.on(\"plotly_selected\",(t=>{this.model.selected_data=d(this._layout_wrapper,t,\"selected\")})),this._layout_wrapper.on(\"plotly_clickannotation\",(t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t})),this._layout_wrapper.on(\"plotly_deselect\",(()=>{this.model.selected_data=null})),this._layout_wrapper.on(\"plotly_unhover\",(()=>{this.model.hover_data=null}))}async plot(t=!1){if(!window.Plotly)return;const e=this._trace_data(),o=this._layout_data();if(this._reacting=!0,t){const t={data:e,layout:o,config:this.model.config,frames:this.model.frames};await window.Plotly.newPlot(this._layout_wrapper,t)}else await window.Plotly.react(this._layout_wrapper,e,o,this.model.config),null!=this.model.frames&&await window.Plotly.addFrames(this._layout_wrapper,this.model.frames);var i,l;this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized?(i=this._layout_wrapper,(l=window.getComputedStyle(i).display)&&\"none\"!==l&&window.Plotly.Plots.resize(this._layout_wrapper)):this._install_callbacks(),this._reacting=!1,this._plotInitialized=!0}after_layout(){super.after_layout(),(0,u.set_size)(this.el,this.model),window.Plotly&&this._plotInitialized&&window.Plotly.Plots.resize(this._layout_wrapper)}_get_trace(t,e){const o=(0,r.clone)(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let s=t.split(\".\"),r=s[s.length-1],a=o;for(let t of s.slice(0,-1))a=a[t];e&&1==s.length?a[r]=[l]:a[r]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this._layout_wrapper._fullLayout;Object.keys(this.model.viewport).reduce(((e,o)=>{if((0,a.isEqual)((0,h.get)(t,o),e))return!0;{let t=(0,h.deepCopy)(this.model.viewport);return t._update_from_property=!0,this._settingViewport=!0,window.Plotly.relayout(this.el,t).then((()=>{this._settingViewport=!1})),!1}}),{})}_updateViewportProperty(){const t=this._layout_wrapper._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=(0,h.deepCopy)(t[o].range))}(0,a.isEqual)(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=(0,h.throttle)((t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}),this.model.viewport_update_throttle)}}o.PlotlyPlotView=y,y.__name__=\"PlotlyPlotView\";class c extends n.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=y,this.define((({Array:t,Any:e,Boolean:o,Ref:i,String:l,Nullable:s,Number:r})=>({data:[t(e),[]],layout:[e,{}],config:[e,{}],frames:[s(t(e)),null],data_sources:[t(i(p.ColumnDataSource)),[]],relayout:[s(e),{}],restyle:[s(e),{}],relayout_data:[e,{}],restyle_data:[t(e),[]],click_data:[e,{}],hover_data:[e,{}],clickannotation_data:[e,{}],selected_data:[e,{}],viewport:[e,{}],viewport_update_policy:[l,\"mouseup\"],viewport_update_throttle:[r,200],visibility:[o,!0],_render_count:[r,0]})))}}o.PlotlyPlot=c,c.__name__=\"PlotlyPlot\",c.__module__=\"panel.models.plotly\",c.init_PlotlyPlot()},\n      \"990b5dd5c7\": function _(t,n,r,e,o){e();r.get=(t,n,r)=>{const e=r=>String.prototype.split.call(n,r).filter(Boolean).reduce(((t,n)=>null!=t?t[n]:t),t),o=e(/[,[\\]]+?/)||e(/[,[\\].]+?/);return void 0===o||o===t?r:o},r.throttle=function(t,n){var r=0;return function(){var e=Number(new Date);e-r>=n&&(t(),r=e)}},r.deepCopy=function t(n){var r;if(null==n||\"object\"!=typeof n)return n;if(n instanceof Array){r=[];for(var e=0,o=n.length;e<o;e++)r[e]=t(n[e]);return r}if(n instanceof Object){const r={};for(const e in n){const o=e;n.hasOwnProperty(o)&&(r[o]=t(n[o]))}return r}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},r.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"979633320f\": function _(e,s,t,i,o){i();const l=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"4c755983eb\");class h extends l.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,(()=>this.setCSS())),this.connect(this.model.properties.bar_color.change,(()=>this.setCSS())),this.connect(this.model.properties.css_classes.change,(()=>this.setCSS())),this.connect(this.model.properties.value.change,(()=>this.setValue())),this.connect(this.model.properties.max.change,(()=>this.setMax()))}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),(0,r.set_size)(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null==this.model.value?this.progressEl.value=0:this.model.value>=0?this.progressEl.value=this.model.value:this.model.value<0&&this.progressEl.removeAttribute(\"value\"),console.log(this.progressEl)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=h,h.__name__=\"ProgressView\";class n extends l.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=h,this.define((({Any:e,Boolean:s,Number:t,String:i})=>({active:[s,!0],bar_color:[i,\"primary\"],style:[e,{}],max:[t,100],value:[e,null]})))}}t.Progress=n,n.__name__=\"Progress\",n.__module__=\"panel.models.widgets\",n.init_Progress()},\n      \"d51a79a0a3\": function _(e,t,i,l,o){l();const s=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"4c755983eb\");class d extends h.PanelHTMLBoxView{initialize(){super.initialize(),this._container=(0,s.div)({})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.quill.enable(!this.model.disabled))),this.connect(this.model.properties.text.change,(()=>{this._editing||(this._editing=!0,this.quill.enable(!1),this.quill.setContents([]),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this.quill.enable(!this.model.disabled),this._editing=!1)}));const{mode:e,toolbar:t,placeholder:i}=this.model.properties;this.on_change([i],(()=>{this.quill.root.setAttribute(\"data-placeholder\",this.model.placeholder)})),this.on_change([e,t],(()=>{this.render(),this._layout_toolbar()}))}_layout_toolbar(){if(null==this._toolbar)this.el.style.removeProperty(\"padding-top\");else{const e=this._toolbar.getBoundingClientRect().height+1;this.el.style.paddingTop=e+\"px\",this._toolbar.style.marginTop=-e+\"px\"}}render(){super.render(),this.el.appendChild(this._container);const e=\"bubble\"===this.model.mode?\"bubble\":\"snow\";this.quill=new window.Quill(this._container,{modules:{toolbar:this.model.toolbar},readOnly:!0,placeholder:this.model.placeholder,theme:e}),this._editor=this.el.querySelector(\".ql-editor\"),this._toolbar=this.el.querySelector(\".ql-toolbar\"),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this.quill.on(\"text-change\",(()=>{this._editing||(this._editing=!0,this.model.text=this._editor.innerHTML,this._editing=!1)})),this.model.disabled||this.quill.enable(!this.model.disabled)}after_layout(){super.after_layout(),this._layout_toolbar()}}i.QuillInputView=d,d.__name__=\"QuillInputView\";class a extends n.HTMLBox{constructor(e){super(e)}static init_QuillInput(){this.prototype.default_view=d,this.define((({Any:e,String:t})=>({mode:[t,\"toolbar\"],placeholder:[t,\"\"],text:[t,\"\"],toolbar:[e,null]}))),this.override({height:300})}}i.QuillInput=a,a.__name__=\"QuillInput\",a.__module__=\"panel.models.quill\",a.init_QuillInput()},\n      \"5fad190ca1\": function _(e,t,s,n,i){n();const o=e(\"6f11f2ef27\"),l=e(\"4c02a9b43f\"),r=e(\"b3f51db71c\"),c=e(\"@bokehjs/core/build_views\"),a=e(\"@bokehjs/core/util/types\"),d=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"@bokehjs/core/dom\"),_=e(\"@bokehjs/core/util/color\"),u=e(\"7f7d9e0c6b\"),m=e(\"c4ee233e58\"),p=e(\"c424a3bd17\"),f=e(\"4c755983eb\");function v(e,t,s){const n={};for(const e of s)n[`{${e}}`]=\"(.*)\";const i=[];let o=\"^\"+(e.replace(/[-\\/\\\\^$*+?.()|[\\]]/g,\"\\\\$&\")+\"$\");let l,r,c;for(const t in n)if(r=e.indexOf(t),r>-1){for(o=o.replace(t,n[t]),c={index:r,token:t},l=0;l<i.length&&i[l].index<r;l++);l<i.length?i.splice(l,0,c):i.push(c)}o=o.replace(/\\{[^{}]+\\}/g,\".*\");var a=new RegExp(o).exec(t);let d=null;if(a)for(d={},l=0;l<i.length;l++)d[i[l].token.slice(1,-1)]=a[l+1];return d}class g extends f.PanelHTMLBoxView{constructor(){super(...arguments),this._parent=null,this._changing=!1,this._event_listeners={},this._mutation_observers=[],this._script_fns={},this._state={}}initialize(){super.initialize(),this.html=(0,p.htmlDecode)(this.model.html)||this.model.html}_recursive_connect(e,t,s){for(const n in e.properties){let i;i=s.length?`${s}.${n}`:n;const o=e[n];null!=o&&(null!=o.properties&&this._recursive_connect(o,!0,i),this.connect(e.properties[n].change,(()=>{if(t)for(const t in this.model.children)if(this.model.children[t]==n){let s=e[n];return(0,a.isArray)(s)||(s=[s]),this._render_node(t,s),void this.invalidate_layout()}this._changing||(this._update(i),this.invalidate_layout())})))}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(async()=>{this.html=(0,p.htmlDecode)(this.model.html)||this.model.html,await this.rebuild(),this.invalidate_layout()})),this._recursive_connect(this.model.data,!0,\"\"),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()})),this.connect_scripts()}connect_scripts(){const e=this.model.data.id;for(let t in this.model.scripts){const s=this.model.scripts[t];let n,i=this.model.data;if(t.indexOf(\".\")>=0){const e=t.split(\".\");n=e[e.length-1];for(const t of e.slice(0,-1))i=i[t]}else n=t;for(const o of s){const s=(0,p.htmlDecode)(o)||o,l=this._render_script(s,e);this._script_fns[t]=l;const r=i.properties[n];null!=r&&this.connect(r.change,(()=>{this._changing||this.run_script(t)}))}}}run_script(e,t=!1){const s=this._script_fns[e];if(void 0===s)return void(t||console.log(`Script '${e}' could not be found.`));const n={get_records:(e,t)=>this.get_records(e,t)};for(const e in this._script_fns)n[e]=()=>this.run_script(e);return s(this.model,this.model.data,this._state,this,(e=>this.run_script(e)),n)}get_records(e,t=!0){return(0,u.dict_to_records)(this.model.data[e],t)}disconnect_signals(){super.disconnect_signals(),this._remove_event_listeners(),this._remove_mutation_observers(),this.run_script(\"remove\",!0)}get child_models(){const e=[];for(const t in this.model.children)for(const s of this.model.children[t])\"string\"!=typeof s&&e.push(s);return e}async build_child_views(){await(0,c.build_views)(this._child_views,this.child_models,{parent:null})}compute_layout(){this.root!=this?super.compute_layout():(this.update_position(),this.after_layout(),this.notify_finished())}after_layout(){for(const e of this.child_views)e.after_layout();this.run_script(\"after_layout\",!0),this._has_finished=!0}update_layout(){for(const e of this.child_views)this._align_view(e),e.compute_viewport(),e.update_layout(),e.compute_layout();this.root!=this&&this._update_layout()}_align_view(e){const{align:t}=e.model;let s,n;(0,a.isArray)(t)?[s,n]=t:s=n=t,\"center\"===s?(e.el.style.marginLeft=\"auto\",e.el.style.marginRight=\"auto\"):\"end\"===s&&(e.el.style.marginLeft=\"auto\"),\"center\"===n?(e.el.style.marginTop=\"auto\",e.el.style.marginBottom=\"auto\"):\"end\"===n&&(e.el.style.marginTop=\"auto\")}render(){(0,h.empty)(this.el);const{background:e}=this.model;this.el.style.backgroundColor=null!=e?(0,_.color2css)(e):\"\",(0,h.classes)(this.el).clear().add(...this.css_classes()),this._update(),this._render_children(),this._setup_mutation_observers(),this._setup_event_listeners(),this.run_script(\"render\",!0)}_send_event(e,t,s){let n=(0,m.serializeEvent)(s);n.type=t;for(const e in n)void 0===n[e]&&delete n[e];this.model.trigger_event(new p.DOMEvent(e,n))}_render_child(e,t){const s=this._child_views.get(e);null==s?t.innerHTML=(0,p.htmlDecode)(e)||e:(s._parent=this,s.renderTo(t))}resize_layout(){null!=this._parent&&this._parent.resize_layout(),this.root!=this&&super.resize_layout()}invalidate_layout(){null!=this._parent&&this._parent.invalidate_layout(),this.root!=this&&this.root.has_finished()&&super.invalidate_layout()}update_position(){if(this.root!=this)return void super.update_position();this.el.style.display=this.model.visible?\"block\":\"none\",(0,f.set_size)(this.el,this.model);let{margin:e}=this.model,t=null;if(null==e)this.el.style.margin=\"\";else{if((0,a.isNumber)(e))t={top:e,right:e,bottom:e,left:e};else if(2==e.length){const[s,n]=e;t={top:s,right:n,bottom:s,left:n}}else{const[s,n,i,o]=e;t={top:s,right:n,bottom:i,left:o}}const{top:s,right:n,bottom:i,left:o}=t;this.el.style.padding=`${s}px ${n}px ${i}px ${o}px`}for(const e of this.child_views)e.update_position()}_render_node(e,t){const s=this.model.data.id;if(this.model.looped.indexOf(e)>-1)for(let n=0;n<t.length;n++){let i=document.getElementById(`${e}-${n}-${s}`);null!=i?this._render_child(t[n],i):console.warn(`DOM node '${e}-${n}-${s}' could not be found. Cannot render children.`)}else{let n=document.getElementById(`${e}-${s}`);if(null==n)return void console.warn(`DOM node '${e}-${s}' could not be found. Cannot render children.`);for(const e of t)this._render_child(e,n)}}_render_children(){for(const e in this.model.children){let t=this.model.children[e];\"string\"==typeof t&&(t=this.model.data[t],(0,a.isArray)(t)||(t=[t])),this._render_node(e,t)}}_render_html(e,t={}){let s=e,n=\"\";const i=[];for(const e in this.model.callbacks)for(const t of this.model.callbacks[e]){const[o,l]=t;let r;if(s=s.replaceAll(\"${\"+l+\"}\",\"$--{\"+l+\"}\"),l.startsWith(\"script(\")){const e=l.replace(\"('\",\"_\").replace(\"')\",\"\").replace('(\"',\"_\").replace('\")',\"\").replace(\"-\",\"_\"),t=e.replaceAll(\"script_\",\"\");s=s.replaceAll(l,e),r=`\\n          const ${e} = (event) => {\\n            view._state.event = event\\n            view.run_script(\"${t}\")\\n            delete view._state.event\\n          }\\n          `}else r=`\\n          const ${l} = (event) => {\\n            view._send_event(\"${e}\", \"${o}\", event)\\n          }\\n          `;i.indexOf(l)>-1||(i.push(l),n+=r)}return s=s.replaceAll(\"${model.\",\"$-{model.\").replaceAll(\"${\",\"${data.\").replaceAll(\"$-{model.\",\"${model.\").replaceAll(\"$--{\",\"${\"),new Function(\"view, model, data, state, html, useCallback\",n+\"return html`\"+s+\"`;\")(this,this.model,this.model.data,t,r.html,l.useCallback)}_render_script(e,t){const s=[];for(const n of this.model.nodes){const i=n.replace(\"-\",\"_\");if(-1===e.indexOf(i))continue;const o=`\\n      const ${i} = document.getElementById('${n}-${t}')\\n      if (${i} == null) {\\n        console.warn(\"DOM node '${n}' could not be found. Cannot execute callback.\")\\n        return\\n      }\\n      `;s.push(o)}return s.push(\"\\n    if (state.event !== undefined) {\\n      const event = state.event\\n    }\\n    \"),s.push(e),new Function(\"model, data, state, view, script, self\",s.join(\"\\n\"))}_remove_mutation_observers(){for(const e of this._mutation_observers)e.disconnect();this._mutation_observers=[]}_setup_mutation_observers(){const e=this.model.data.id;for(const t in this.model.attrs){const s=document.getElementById(`${t}-${e}`);if(null==s){console.warn(`DOM node '${t}-${e}' could not be found. Cannot set up MutationObserver.`);continue}const n=new MutationObserver((()=>{this._update_model(s,t)}));n.observe(s,{attributes:!0}),this._mutation_observers.push(n)}}_remove_event_listeners(){const e=this.model.data.id;for(const t in this._event_listeners){const s=document.getElementById(`${t}-${e}`);if(null!=s)for(const e in this._event_listeners[t]){const n=this._event_listeners[t][e];s.removeEventListener(e,n)}}this._event_listeners={}}_setup_event_listeners(){const e=this.model.data.id;for(const t in this.model.events){const s=document.getElementById(`${t}-${e}`);if(null==s){console.warn(`DOM node '${t}-${e}' could not be found. Cannot subscribe to DOM events.`);continue}const n=this.model.events[t];for(const e in n){const i=i=>{this._send_event(t,e,i),t in this.model.attrs&&n[e]&&this._update_model(s,t)};s.addEventListener(e,i),t in this._event_listeners||(this._event_listeners[t]={}),this._event_listeners[t][e]=i}}}_update(e=null){if(null==e||this.html.indexOf(`\\${${e}}`)>-1){const e=this._render_html(this.html);try{this._changing=!0,(0,o.render)(e,this.el)}finally{this._changing=!1}}}_update_model(e,t){if(this._changing)return;const s={};for(const n of this.model.attrs[t]){const[i,o,l]=n;let r=\"children\"===i?e.innerHTML:e[i];if(1===o.length&&`{${o[0]}}`===l)s[o[0]]=r;else if(\"string\"==typeof r)if(r=v(l,r,o),null==r)console.warn(`Could not resolve parameters in ${t} element ${i} attribute value ${r}.`);else for(const e in r)void 0===r[e]?console.warn(`Could not resolve ${e} in ${t} element ${i} attribute value ${r}.`):s[e]=r[e]}try{this._changing=!0,this.model.data.setv(function(e){const t={};for(const s in e){let n=e[s];\"string\"!=typeof n?n=n:\"\"===n||\"NaN\"!==n&&isNaN(Number(n))?\"false\"!==n&&\"true\"!==n||(n=\"true\"===n):n=Number(n),t[s]=n}return t}(s))}catch(e){console.log(\"Could not serialize\",s)}finally{this._changing=!1}}}s.ReactiveHTMLView=g,g.__name__=\"ReactiveHTMLView\";class $ extends d.HTMLBox{constructor(e){super(e)}static init_ReactiveHTML(){this.prototype.default_view=g,this.define((({Array:e,Any:t,String:s})=>({attrs:[t,{}],callbacks:[t,{}],children:[t,{}],data:[t],events:[t,{}],html:[s,\"\"],looped:[e(s),[]],nodes:[e(s),[]],scripts:[t,{}]})))}}s.ReactiveHTML=$,$.__name__=\"ReactiveHTML\",$.__module__=\"panel.models.reactive_html\",$.init_ReactiveHTML()},\n      \"ab54efe08a\": function _(e,t,s,i,n){i();const l=e(\"tslib\"),o=e(\"@bokehjs/core/dom\"),c=e(\"@bokehjs/core/util/types\"),r=e(\"@bokehjs/models/widgets/input_widget\"),d=(0,l.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\"));class h extends r.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.disabled_options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,s;(0,c.isString)(e)?t=s=e:[t,s]=e;let i=this.model.disabled_options.includes(t);return(0,o.option)({value:t,disabled:i},s)}));this.select_el=(0,o.select)({multiple:!1,class:d.input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.style.backgroundImage=\"none\",this.select_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=this.model.value;for(const t of this.el.querySelectorAll(\"option\"))t.value===e&&(t.selected=!0);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\");let t=null;for(const e of this.el.querySelectorAll(\"option\"))if(e.selected){t=e.value;break}this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.SingleSelectView=h,h.__name__=\"SingleSelectView\";class a extends r.InputWidget{constructor(e){super(e)}static init_SingleSelect(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Int:s,String:i})=>({disabled_options:[t(i),[]],options:[t(e),[]],size:[s,4],value:[i,\"\"]})))}}s.SingleSelect=a,a.__name__=\"SingleSelect\",a.__module__=\"panel.models.widgets\",a.init_SingleSelect()},\n      \"a96be0bcc9\": function _(t,e,i,o,n){o();const s=t(\"@bokehjs/models/layouts/html_box\"),r=\"Click to START the speech recognition.\",{webkitSpeechRecognition:h}=window,{webkitSpeechGrammarList:l}=window;class a extends s.HTMLBoxView{initialize(){var t,e;super.initialize(),this.recognition=new h,this.recognition.lang=this.model.lang,this.recognition.continuous=this.model.continuous,this.recognition.interimResults=this.model.interim_results,this.recognition.maxAlternatives=this.model.max_alternatives,this.recognition.serviceURI=this.model.service_uri,this.setGrammars(),this.recognition.onresult=t=>{this.model.results=function(t){const e=[];for(let o of t){let t=[],n={is_final:o.isFinal,alternatives:t};for(let e=0;e<o.length;e++){let n={confidence:(i=o[e].confidence,Math.round(100*(i+Number.EPSILON))/100),transcript:o[e].transcript};t.push(n)}n.alternatives=t,e.push(n)}var i;return e}(t.results)},this.recognition.onerror=t=>{console.log(\"SpeechToText Error\"),console.log(t)},this.recognition.onnomatch=t=>{console.log(\"SpeechToText No Match\"),console.log(t)},this.recognition.onaudiostart=()=>this.model.audio_started=!0,this.recognition.onaudioend=()=>this.model.audio_started=!1,this.recognition.onsoundstart=()=>this.model.sound_started=!0,this.recognition.onsoundend=()=>this.model.sound_started=!1,this.recognition.onspeechstart=()=>this.model.speech_started=!0,this.recognition.onspeechend=()=>this.model.speech_started=!1,this.recognition.onstart=()=>{this.buttonEl.onclick=()=>{this.recognition.stop()},this.buttonEl.innerHTML=this.iconStarted(),this.buttonEl.setAttribute(\"title\",\"Click to STOP the speech recognition.\"),this.model.started=!0},this.recognition.onend=()=>{this.buttonEl.onclick=()=>{this.recognition.start()},this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.setAttribute(\"title\",r),this.model.started=!1},this.buttonEl=(t=`<button class=\"bk bk-btn bk-btn-${this.model.button_type}\" type=\"button\" title=\"${r}\"></button>`,e=document.createElement(\"template\"),t=t.trim(),e.innerHTML=t,e.content.firstChild),this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.onclick=()=>this.recognition.start()}iconStarted(){return\"\"!==this.model.button_started?this.model.button_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic\" viewBox=\"0 0 16 16\">\\n  <path fill-rule=\"evenodd\" d=\"M3.5 6.5A.5.5 0 0 1 4 7v1a4 4 0 0 0 8 0V7a.5.5 0 0 1 1 0v1a5 5 0 0 1-4.5 4.975V15h3a.5.5 0 0 1 0 1h-7a.5.5 0 0 1 0-1h3v-2.025A5 5 0 0 1 3 8V7a.5.5 0 0 1 .5-.5z\"/>\\n  <path fill-rule=\"evenodd\" d=\"M10 8V3a2 2 0 1 0-4 0v5a2 2 0 1 0 4 0zM8 0a3 3 0 0 0-3 3v5a3 3 0 0 0 6 0V3a3 3 0 0 0-3-3z\"/>\\n</svg>'}iconNotStarted(){return\"\"!==this.model.button_not_started?this.model.button_not_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic-mute\" viewBox=\"0 0 16 16\">\\n<path fill-rule=\"evenodd\" d=\"M12.734 9.613A4.995 4.995 0 0 0 13 8V7a.5.5 0 0 0-1 0v1c0 .274-.027.54-.08.799l.814.814zm-2.522 1.72A4 4 0 0 1 4 8V7a.5.5 0 0 0-1 0v1a5 5 0 0 0 4.5 4.975V15h-3a.5.5 0 0 0 0 1h7a.5.5 0 0 0 0-1h-3v-2.025a4.973 4.973 0 0 0 2.43-.923l-.718-.719zM11 7.88V3a3 3 0 0 0-5.842-.963l.845.845A2 2 0 0 1 10 3v3.879l1 1zM8.738 9.86l.748.748A3 3 0 0 1 5 8V6.121l1 1V8a2 2 0 0 0 2.738 1.86zm4.908 3.494l-12-12 .708-.708 12 12-.708.707z\"/>\\n</svg>'}setIcon(){this.model.started?this.buttonEl.innerHTML=this.iconStarted():this.buttonEl.innerHTML=this.iconNotStarted()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.start.change,(()=>{this.model.start=!1,this.recognition.start()})),this.connect(this.model.properties.stop.change,(()=>{this.model.stop=!1,this.recognition.stop()})),this.connect(this.model.properties.abort.change,(()=>{this.model.abort=!1,this.recognition.abort()})),this.connect(this.model.properties.grammars.change,(()=>this.setGrammars())),this.connect(this.model.properties.lang.change,(()=>this.recognition.lang=this.model.lang)),this.connect(this.model.properties.continuous.change,(()=>this.recognition.continuous=this.model.continuous)),this.connect(this.model.properties.interim_results.change,(()=>this.recognition.interimResults=this.model.interim_results)),this.connect(this.model.properties.max_alternatives.change,(()=>this.recognition.maxAlternatives=this.model.max_alternatives)),this.connect(this.model.properties.service_uri.change,(()=>this.recognition.serviceURI=this.model.service_uri)),this.connect(this.model.properties.button_type.change,(()=>this.buttonEl.className=`bk bk-btn bk-btn-${this.model.button_type}`)),this.connect(this.model.properties.button_hide.change,(()=>this.render()));const{button_not_started:t,button_started:e}=this.model.properties;this.on_change([t,e],(()=>this.setIcon()))}setGrammars(){this.recognition.grammars=function(t){if(t){var e=new l;for(let i of t)i.src?e.addFromString(i.src,i.weight):i.uri&&e.addFromURI(i.uri,i.weight);return e}return null}(this.model.grammars)}render(){super.render(),this.model.button_hide||this.el.appendChild(this.buttonEl)}}i.SpeechToTextView=a,a.__name__=\"SpeechToTextView\";class c extends s.HTMLBox{constructor(t){super(t)}static init_SpeechToText(){this.prototype.default_view=a,this.define((({Array:t,Boolean:e,Number:i,String:o})=>({start:[e,!1],stop:[e,!1],abort:[e,!1],grammars:[t(o),[]],lang:[o,\"\"],continuous:[e,!1],interim_results:[e,!1],max_alternatives:[i,1],service_uri:[o],started:[e,!1],audio_started:[e,!1],sound_started:[e,!1],speech_started:[e,!1],button_type:[o,\"light\"],button_hide:[e,!1],button_not_started:[o,\"\"],button_started:[o,\"\"],results:[t(o),[]]})))}}i.SpeechToText=c,c.__name__=\"SpeechToText\",c.__module__=\"panel.models.speech_to_text\",c.init_SpeechToText()},\n      \"bfa46a5f19\": function _(e,t,s,a,i){a();const o=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/core/util/array\"),n=e(\"@bokehjs/model\"),h=e(\"@bokehjs/protocol/receiver\");class _ extends o.View{renderTo(){}}s.StateView=_,_.__name__=\"StateView\";class r extends n.Model{constructor(e){super(e),this._receiver=new h.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let a=this.state;for(const e of this.values)a=a[e];a===t?this.apply_state(s):this._cache[a]&&this.apply_state(this._cache[a])}set_state(e,t){let s=(0,c.copy)(this.values);s[this.widgets[e.id]]=t;let a=this.state;for(const e of s)a=a[e];var i,o,n;this.values=s,this.json?this._cache[a]?this.apply_state(this._cache[a]):(i=a,o=e=>this._receive_json(e,a),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",i,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&o(n.responseText)},n.send(null)):this.apply_state(a)}static init_State(){this.prototype.default_view=_,this.define((({Any:e,Boolean:t})=>({json:[t,!1],state:[e,{}],widgets:[e,{}],values:[e,[]]})))}}s.State=r,r.__name__=\"State\",r.__module__=\"panel.models.state\",r.init_State()},\n      \"f693d9aa84\": function _(e,t,s,i,l){i();const h=e(\"tslib\"),a=e(\"@bokehjs/core/layout\"),o=e(\"@bokehjs/core/dom\"),d=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/models/layouts/tabs\"),r=e(\"@bokehjs/models/layouts/layout_dom\"),n=(0,h.__importStar)(e(\"@bokehjs/styles/tabs.css\")),_=(0,h.__importStar)(e(\"@bokehjs/styles/buttons.css\")),p=(0,h.__importStar)(e(\"@bokehjs/styles/menus.css\"));function b(e){e.style.visibility=\"\",e.style.opacity=\"\"}function u(e){e.style.visibility=\"hidden\",e.style.opacity=\"0\"}class m extends c.TabsView{connect_signals(){super.connect_signals();let e=this;for(;null!=e;)e.model.type.endsWith(\"Tabs\")&&e.connect(e.model.properties.active.change,(()=>this.update_zindex())),e=e.parent||e._parent}get is_visible(){let e=this.parent,t=this;for(;null!=e;){if(e.model.type.endsWith(\"Tabs\")&&e.child_views.indexOf(t)!==e.model.active)return!1;t=e,e=e.parent||e._parent}return!0}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const l=(0,o.size)(s),h=(0,o.children)(i).slice(0,3).map((e=>(0,o.size)(e))),{width:a,height:c}=super._measure(e);if(t){const t=l.width+(0,d.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:c}}{const t=l.height+(0,d.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el);let{width_policy:l,height_policy:h}=this.model;\"auto\"==l&&(l=this._width_policy()),\"auto\"==h&&(h=this._height_policy());const{sizing_mode:c}=this.model;null!=c&&(\"fixed\"==c?l=h=\"fixed\":\"stretch_both\"==c?l=h=\"max\":\"stretch_width\"==c?l=\"max\":\"stretch_height\"==c&&(h=\"max\")),t?this.header.set_sizing({width_policy:l,height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:h});let r=1,n=1;switch(e){case\"above\":r-=1;break;case\"below\":r+=1;break;case\"left\":n-=1;break;case\"right\":n+=1}const _={layout:this.header,row:r,col:n},p=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new a.Grid([_,...p]),this.layout.set_sizing(this.box_sizing())}update_zindex(){const{child_views:e}=this;for(const t of e)null!=t&&null!=t.el&&(t.el.style.zIndex=\"\");if(this.is_visible){const t=e[this.model.active];null!=t&&null!=t.el&&(t.el.style.zIndex=\"1\")}}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,o.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,o.size)(this.scroll_el),i=(0,o.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,o.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.headers_el.style.left=\"0px\",this.wrapper_el.style.maxWidth=\"\",(0,o.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,o.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.headers_el.style.top=\"0px\",this.wrapper_el.style.maxHeight=\"\",(0,o.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)u(e.el),e.el.style.removeProperty(\"zIndex\");const h=l[this.model.active];null!=h&&b(h.el)}render(){r.LayoutDOMView.prototype.render.call(this);let{active:e}=this.model;const t=this.model.tabs.map(((t,s)=>{const i=(0,o.div)({class:[n.tab,s==e?n.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,o.div)({class:n.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,d.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(n.disabled),i}));this.headers_el=(0,o.div)({class:[n.headers]},t),this.wrapper_el=(0,o.div)({class:n.headers_wrapper},this.headers_el),this.left_el=(0,o.div)({class:[_.btn,_.btn_default],disabled:\"\"},(0,o.div)({class:[p.caret,n.left]})),this.right_el=(0,o.div)({class:[_.btn,_.btn_default]},(0,o.div)({class:[p.caret,n.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,o.div)({class:_.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,o.div)({class:[n.tabs_header,n[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el),this.update_zindex(),-1===e&&this.model.tabs.length&&(this.model.active=0)}on_active_change(){const e=this.model.active,t=(0,o.children)(this.headers_el);for(const e of t)e.classList.remove(n.active);t[e].classList.add(n.active);const{child_views:s}=this;for(const e of s)u(e.el);b(s[e].el)}}s.TabsView=m,m.__name__=\"TabsView\";class y extends c.Tabs{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=m,this.define((({})=>({})))}}s.Tabs=y,y.__name__=\"Tabs\",y.__module__=\"panel.models.tabs\",y.init_Tabs()},\n      \"3ea011fa55\": function _(e,t,i,n,s){n();const r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/core/bokeh_events\"),a=e(\"4c755983eb\");class h extends l.ModelEvent{constructor(e){super(),this.key=e,this.event_name=\"keystroke\"}_to_json(){return{model:this.origin,key:this.key}}}i.KeystrokeEvent=h,h.__name__=\"KeystrokeEvent\";class d extends a.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.output.change,this.write),this.connect(this.model.properties._clears.change,this.clear)}render(){super.render(),this.container=(0,o.div)({class:\"terminal-container\"}),(0,a.set_size)(this.container,this.model),this.term=this.getNewTerminal(),this.term.onData((e=>{this.handleOnData(e)})),this.webLinksAddon=this.getNewWebLinksAddon(),this.term.loadAddon(this.webLinksAddon),this.term.open(this.container),this.term.onRender((()=>{this._rendered||this.fit()})),this.write(),this.el.appendChild(this.container)}getNewTerminal(){const e=window;return e.Terminal?new e.Terminal(this.model.options):new e.xtermjs.Terminal(this.model.options)}getNewWebLinksAddon(){return new window.WebLinksAddon.WebLinksAddon}handleOnData(e){this.model.trigger_event(new h(e))}write(){const e=this.model.output;if(null==e||!e.length)return;const t=e.replace(/\\r?\\n/g,\"\\r\\n\");this.term.write(t)}clear(){this.term.clear()}fit(){const e=this.box_sizing(),t=null==e.margin?0:e.margin.top+e.margin.bottom,i=null==e.margin?0:e.margin.left+e.margin.right,n=(this.layout.inner_bbox.width||this.model.width||0)-i,s=(this.layout.inner_bbox.height||this.model.height||0)-t,r=this.term._core._renderService,o=r.dimensions.actualCellWidth||9,l=r.dimensions.actualCellHeight||18;if(null==n||null==s||n<=0||s<=0)return;const a=Math.max(2,Math.floor(n/o)),h=Math.max(1,Math.floor(s/l));this.term.rows===h&&this.term.cols===a||this.term.resize(a,h),this.model.ncols=a,this.model.nrows=h,this._rendered=!0}after_layout(){super.after_layout(),this.fit()}resize_layout(){super.resize_layout(),this.fit()}}i.TerminalView=d,d.__name__=\"TerminalView\";class m extends r.HTMLBox{constructor(e){super(e)}static init_Terminal(){this.prototype.default_view=d,this.define((({Any:e,Int:t,String:i})=>({_clears:[t,0],options:[e,{}],output:[i],ncols:[t],nrows:[t]})))}}i.Terminal=m,m.__name__=\"Terminal\",m.__module__=\"panel.models.terminal\",m.init_Terminal()},\n      \"33cd2c254e\": function _(e,s,i,t,n){t();const h=e(\"@bokehjs/models/layouts/html_box\");function o(e){var s=[];for(let t of e){var i={default:t.default,lang:t.lang,local_service:t.localService,name:t.name,voice_uri:t.voiceURI};s.push(i)}return s}class c extends h.HTMLBoxView{initialize(){super.initialize(),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending,this.model.speaking=speechSynthesis.speaking,this._callback=window.setInterval((function(){!speechSynthesis.paused&&speechSynthesis.speaking&&window.speechSynthesis.resume()}),1e4);const e=()=>{\"undefined\"!=typeof speechSynthesis&&(this.voices=speechSynthesis.getVoices(),this.voices&&(this.model.voices=o(this.voices)))};e(),\"undefined\"!=typeof speechSynthesis&&void 0!==speechSynthesis.onvoiceschanged&&(speechSynthesis.onvoiceschanged=e)}remove(){null!=this._callback&&clearInterval(this._callback),speechSynthesis.cancel(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.speak.change,(()=>{this.speak()})),this.connect(this.model.properties.pause.change,(()=>{this.model.pause=!1,speechSynthesis.pause()})),this.connect(this.model.properties.resume.change,(()=>{this.model.resume=!1,speechSynthesis.resume()})),this.connect(this.model.properties.cancel.change,(()=>{this.model.cancel=!1,speechSynthesis.cancel()}))}speak(){let e=new SpeechSynthesisUtterance(this.model.speak.text);if(e.pitch=this.model.speak.pitch,e.volume=this.model.speak.volume,e.rate=this.model.speak.rate,this.model.voices)for(let s of this.voices)s.name===this.model.speak.voice&&(e.voice=s);e.onpause=()=>this.model.paused=!0,e.onstart=()=>{this.model.speaking=!0,this.model.paused=!1,this.model.pending=speechSynthesis.pending},e.onresume=()=>this.model.paused=!1,e.onend=()=>{this.model.speaking=!1,this.model.paused=!1,this.model.pending=speechSynthesis.pending},speechSynthesis.speak(e),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending}render(){super.render(),this.model.voices||(this.model.voices=o(this.voices)),null!=this.model.speak&&this.model.speak.text&&this.speak()}}i.TextToSpeechView=c,c.__name__=\"TextToSpeechView\";class p extends h.HTMLBox{constructor(e){super(e)}static init_TextToSpeech(){this.prototype.default_view=c,this.define((({Any:e,Array:s,Boolean:i})=>({paused:[i,!1],pending:[i,!1],speaking:[i,!1],voices:[s(e),[]],cancel:[i,!1],pause:[i,!1],resume:[i,!1],speak:[e,{}]})))}}i.TextToSpeech=p,p.__name__=\"TextToSpeech\",p.__module__=\"panel.models.text_to_speech\",p.init_TextToSpeech()},\n      \"effe070807\": function _(t,e,i,l,o){l();const s=t(\"@bokehjs/models/layouts/html_box\"),h=t(\"@bokehjs/core/build_views\"),a=t(\"@bokehjs/models/plots\"),n=t(\"@bokehjs/models/glyphs\"),d=t(\"@bokehjs/core/dom\"),r=t(\"@bokehjs/models/sources/column_data_source\"),c=t(\"@bokehjs/models/formatters\");class p extends s.HTMLBoxView{initialize(){super.initialize(),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%;\"}),this.titleDiv=(0,d.div)({style:\"font-size: 1em; word-wrap: break-word;\"}),this.valueDiv=(0,d.div)({style:\"font-size: 2em\"}),this.value2Div=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.changeDiv=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.textDiv=(0,d.div)({},this.titleDiv,this.valueDiv,(0,d.div)({},this.changeDiv,this.value2Div)),this.updateTitle(),this.updateValue(),this.updateValue2(),this.updateValueChange(),this.updateTextFontSize(),this.plotDiv=(0,d.div)({}),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%\"},this.textDiv,this.plotDiv),this.updateLayout()}connect_signals(){super.connect_signals();const{pos_color:t,neg_color:e}=this.model.properties;this.on_change([t,e],(()=>this.updateValueChange()));const{plot_color:i,plot_type:l,width:o,height:s,sizing_mode:h}=this.model.properties;this.on_change([i,l,o,s,h],(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.updateTitle(!0))),this.connect(this.model.properties.value.change,(()=>this.updateValue(!0))),this.connect(this.model.properties.value_change.change,(()=>this.updateValue2(!0))),this.connect(this.model.properties.layout.change,(()=>this.updateLayout()))}async render(){super.render(),this.el.appendChild(this.containerDiv),await this.setPlot()}async setPlot(){this.plot=new a.Plot({background_fill_color:null,border_fill_color:null,outline_line_color:null,min_border:0,sizing_mode:\"stretch_both\",toolbar_location:null});var t=this.model.source;if(\"line\"===this.model.plot_type){var e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:4,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else if(\"step\"===this.model.plot_type){var i=new n.Step({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(i,t)}else if(\"area\"===this.model.plot_type){var l=new n.VArea({x:{field:this.model.plot_x},y1:{field:this.model.plot_y},y2:0,fill_color:this.model.plot_color,fill_alpha:.5});this.plot.add_glyph(l,t);e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else{var o=new n.VBar({x:{field:this.model.plot_x},top:{field:this.model.plot_y},width:.9,line_color:null,fill_color:this.model.plot_color});this.plot.add_glyph(o,t)}const s=await(0,h.build_view)(this.plot);this.plotDiv.innerHTML=\"\",s.renderTo(this.plotDiv)}after_layout(){super.after_layout(),this.updateTextFontSize()}updateTextFontSize(){this.updateTextFontSizeColumn()}updateTextFontSizeColumn(){let t=this.containerDiv.clientWidth,e=this.containerDiv.clientHeight;\"column\"===this.model.layout?e=Math.round(e/2):t=Math.round(t/2);const i=t/this.model.title.length*2,l=t/(2*this._value_format.length)*1.8,o=t/(this._value_change_format.length+1)*2,s=e/6,h=Math.min(i,l,o,s);this.textDiv.style.fontSize=Math.trunc(h)+\"px\",this.textDiv.style.lineHeight=\"1.3\"}updateTitle(t=!1){this.titleDiv.innerText=this.model.title,t&&this.updateTextFontSize()}updateValue(t=!1){this._value_format=this.model.formatter.doFormat([this.model.value],{loc:0})[0],this.valueDiv.innerText=this._value_format,t&&this.updateTextFontSize()}updateValue2(t=!1){this._value_change_format=this.model.change_formatter.doFormat([this.model.value_change],{loc:0})[0],this.value2Div.innerText=this._value_change_format,this.updateValueChange(),t&&this.updateTextFontSize()}updateValueChange(){this.model.value_change>0?(this.changeDiv.innerHTML=\"&#9650;\",this.changeDiv.style.color=this.model.pos_color):this.model.value_change<0?(this.changeDiv.innerHTML=\"&#9660;\",this.changeDiv.style.color=this.model.neg_color):(this.changeDiv.innerHTML=\"&nbsp;\",this.changeDiv.style.color=\"inherit\")}updateLayout(){\"column\"===this.model.layout?(this.containerDiv.style.display=\"block\",this.textDiv.style.height=\"50%\",this.textDiv.style.width=\"100%\",this.plotDiv.style.height=\"50%\",this.plotDiv.style.width=\"100%\"):(this.containerDiv.style.display=\"flex\",this.textDiv.style.height=\"100%\",this.textDiv.style.width=\"\",this.plotDiv.style.height=\"100%\",this.plotDiv.style.width=\"\",this.textDiv.style.flex=\"1\",this.plotDiv.style.flex=\"1\"),this._has_finished&&this.invalidate_layout()}}i.TrendIndicatorView=p,p.__name__=\"TrendIndicatorView\";class _ extends s.HTMLBox{constructor(t){super(t)}static init_TrendIndicator(){this.prototype.default_view=p,this.define((({Number:t,String:e,Ref:i})=>({description:[e,\"\"],formatter:[i(c.TickFormatter),()=>new c.BasicTickFormatter],change_formatter:[i(c.TickFormatter),()=>new c.NumeralTickFormatter],layout:[e,\"column\"],source:[i(r.ColumnDataSource)],plot_x:[e,\"x\"],plot_y:[e,\"y\"],plot_color:[e,\"#428bca\"],plot_type:[e,\"bar\"],pos_color:[e,\"#5cb85c\"],neg_color:[e,\"#d9534f\"],title:[e,\"\"],value:[t,0],value_change:[t,0]})))}}i.TrendIndicator=_,_.__name__=\"TrendIndicator\",_.__module__=\"panel.models.trend\",_.init_TrendIndicator()},\n      \"fea356270f\": function _(t,e,s,o,i){o();const a=t(\"@bokehjs/core/bokeh_events\"),n=t(\"@bokehjs/core/util/types\"),h=t(\"@bokehjs/models/layouts/html_box\"),c=t(\"99a25e6992\");class _ extends a.ModelEvent{constructor(t){super(),this.data=t,this.event_name=\"vega_event\"}_to_json(){return{model:this.origin,data:this.data}}}s.VegaEvent=_,_.__name__=\"VegaEvent\";class d extends h.HTMLBoxView{connect_signals(){super.connect_signals();const{data:t,show_actions:e,theme:s}=this.model.properties;this.on_change([t,e,s],(()=>{this._plot()})),this.connect(this.model.properties.data_sources.change,(()=>this._connect_sources())),this.connect(this.model.properties.events.change,(()=>{for(const t of this.model.events){if(this._callbacks.indexOf(t)>-1)continue;this._callbacks.push(t);const e=(t,e)=>this._dispatch_event(t,e),s=this.model.throttle[t]||20;this.vega_view.addSignalListener(t,(0,c.debounce)(e,s,!1))}})),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_dispatch_event(t,e){if(\"vlPoint\"in e&&null!=e.vlPoint.or){const t=[];for(const s of e.vlPoint.or)t.push(s._vgsid_);e=t}this.model.trigger_event(new _({type:t,value:e}))}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],i=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of i)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._callbacks=[],this._plot()}_plot(){const t=this.model.data;if(null==t||!window.vegaEmbed)return;if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=(0,n.isArray)(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}const e={actions:this.model.show_actions,theme:this.model.theme};window.vegaEmbed(this.el,this.model.data,e).then((t=>{this.vega_view=t.view,this.relayout(),(this.vega_view._viewHeight<=0||this.vega_view._viewWidth<=0)&&window.dispatchEvent(new Event(\"resize\"));const e=(t,e)=>this._dispatch_event(t,e);for(const t of this.model.events){this._callbacks.push(t);const s=this.model.throttle[t]||20;this.vega_view.addSignalListener(t,(0,c.debounce)(e,s,!1))}}))}relayout(){this.update_layout(),this.compute_layout(),this.root!==this?this.invalidate_layout():null!=this._parent&&this._parent.invalidate_layout()}box_sizing(){const t=super.box_sizing();return null!=this.vega_view&&(\"fixed\"===t.height_policy&&(t.height=this.vega_view._viewHeight),\"fixed\"===t.width_policy&&(t.width=this.vega_view._viewWidth)),t}}s.VegaPlotView=d,d.__name__=\"VegaPlotView\";class l extends h.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=d,this.define((({Any:t,Array:e,Boolean:s,String:o})=>({data:[t,{}],data_sources:[t,{}],events:[e(o),[]],show_actions:[s,!1],theme:[o],throttle:[t,{}]})))}}s.VegaPlot=l,l.__name__=\"VegaPlot\",l.__module__=\"panel.models.vega\",l.init_VegaPlot()},\n      \"1b46fd56a8\": function _(e,t,i,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"4c755983eb\");class h extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.muted.change,(()=>this.set_muted())),this.connect(this.model.properties.autoplay.change,(()=>this.set_autoplay())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume()))}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,this.videoEl.muted=this.model.muted,this.videoEl.autoplay=this.model.autoplay,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_muted(){this.videoEl.muted=this.model.muted}set_autoplay(){this.videoEl.autoplay=this.model.autoplay}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}i.VideoView=h,h.__name__=\"VideoView\";class m extends l.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=h,this.define((({Any:e,Boolean:t,Int:i,Number:o})=>({loop:[t,!1],paused:[t,!0],muted:[t,!1],autoplay:[t,!1],time:[o,0],throttle:[i,250],value:[e,\"\"],volume:[i]})))}}i.Video=m,m.__name__=\"Video\",m.__module__=\"panel.models.widgets\",m.init_Video()},\n      \"e3e9b8e495\": function _(e,t,i,s,o){s();const h=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"4c755983eb\");class a extends l.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,(()=>this.set_timeout())),this.connect(this.model.properties.snapshot.change,(()=>this.snapshot())),this.connect(this.model.properties.paused.change,(()=>this.pause()))}pause(){this.model.paused?(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()):this.videoEl.play(),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),null!=this.model.timeout&&this.model.timeout>0&&(this.timer=setInterval((()=>this.snapshot()),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then((e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()})).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class n extends h.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define((({Any:e,Boolean:t,Int:i,Nullable:s,String:o})=>({format:[o,\"png\"],paused:[t,!1],snapshot:[t,!1],timeout:[s(i),null],value:[e]}))),this.override({height:240,width:320})}}i.VideoStream=n,n.__name__=\"VideoStream\",n.__module__=\"panel.models.widgets\",n.init_VideoStream()},\n      \"c51f25e2a7\": function _(o,V,l,K,T){K(),T(\"VTKJSPlot\",o(\"b6d9199d03\").VTKJSPlot),T(\"VTKVolumePlot\",o(\"7785475bdd\").VTKVolumePlot),T(\"VTKAxes\",o(\"ab478186ba\").VTKAxes),T(\"VTKSynchronizedPlot\",o(\"0a57062475\").VTKSynchronizedPlot)},\n      \"b6d9199d03\": function _(e,t,n,i,s){i();const a=e(\"e13c143c7d\"),r=e(\"993f3118b2\");class _ extends a.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this.invalidate_render()}))}render(){super.render(),this._create_orientation_widget(),this._set_axes()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=r.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=r.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=r.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),i=window.vtk.macro.debounce((()=>setTimeout((()=>{null==this._axes&&this.model.axes&&this._set_axes(),this._set_camera_state(),this._get_camera_state()}),100)),100);n.setUrl(\"index.json\"),n.onReady(i)}})}}n.VTKJSPlotView=_,_.__name__=\"VTKJSPlotView\";class o extends a.AbstractVTKPlot{static init_VTKJSPlot(){this.prototype.default_view=_,this.define((({Boolean:e,Nullable:t,String:n})=>({data:[t(n)],enable_keybindings:[e,!1]})))}}n.VTKJSPlot=o,o.__name__=\"VTKJSPlot\",o.init_VTKJSPlot()},\n      \"e13c143c7d\": function _(e,t,i,n,s){n();const a=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/util/object\"),_=e(\"@bokehjs/models/mappers/color_mapper\"),d=e(\"@bokehjs/core/kinds\"),h=e(\"4c755983eb\"),c=e(\"993f3118b2\"),l=e(\"c010237f8b\"),g=e(\"ab478186ba\"),p={padding:\"0px 2px 0px 2px\",maxHeight:\"150px\",height:\"auto\",backgroundColor:\"rgba(255, 255, 255, 0.4)\",borderRadius:\"10px\",margin:\"2px\",boxSizing:\"border-box\",overflow:\"hidden\",overflowY:\"auto\",transition:\"width 0.1s linear\",bottom:\"0px\",position:\"absolute\"},m=(0,d.Enum)(\"LowerLeft\",\"LowerRight\",\"UpperLeft\",\"UpperRight\",\"LowerEdge\",\"RightEdge\",\"LeftEdge\",\"UpperEdge\");class v extends h.PanelHTMLBoxView{initialize(){super.initialize(),this._camera_callbacks=[],this._renderable=!0,this._setting_camera=!1}_add_colorbars(){const e=this.el.querySelector(\".vtk_info\");if(e&&this.el.removeChild(e),this.model.color_mappers.length<1)return;const t=document.createElement(\"div\"),i=\"350px\",n=\"30px\";t.classList.add(\"vtk_info\"),(0,c.applyStyle)(t,p),(0,c.applyStyle)(t,{width:i}),this.el.appendChild(t);const s=[];this.model.color_mappers.forEach((e=>{const i=new l.VTKColorBar(t,e);s.push(i)}));const a=document.createElement(\"div\");(0,c.applyStyle)(a,{textAlign:\"center\",fontSize:\"20px\"}),a.innerText=\"...\",t.addEventListener(\"click\",(()=>{t.style.width===n?(t.removeChild(a),(0,c.applyStyle)(t,{height:\"auto\",width:i}),s.forEach((e=>t.appendChild(e.canvas)))):(s.forEach((e=>t.removeChild(e.canvas))),(0,c.applyStyle)(t,{height:n,width:n}),t.appendChild(a))})),t.click()}_init_annotations_container(){this._annotations_container||(this._annotations_container=document.createElement(\"div\"),this._annotations_container.style.position=\"absolute\",this._annotations_container.style.width=\"100%\",this._annotations_container.style.height=\"100%\",this._annotations_container.style.top=\"0\",this._annotations_container.style.left=\"0\",this._annotations_container.style.pointerEvents=\"none\")}_clean_annotations(){if(this._annotations_container)for(;this._annotations_container.firstElementChild;)this._annotations_container.firstElementChild.remove()}_add_annotations(){this._clean_annotations();const{annotations:e}=this.model;if(null!=e)for(let t of e){const{viewport:e,color:i,fontSize:n,fontFamily:s}=t;m.values.forEach((a=>{const r=t[a];if(r){const t=document.createElement(\"div\");t.textContent=r;const{style:o}=t;o.position=\"absolute\",o.color=`rgb(${i.map((e=>255*e)).join(\",\")})`,o.fontSize=`${n}px`,o.padding=\"5px\",o.fontFamily=s,o.width=\"fit-content\",\"UpperLeft\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*e[0]+\"%\"),\"UpperRight\"==a&&(o.top=100*(1-e[3])+\"%\",o.right=100*(1-e[2])+\"%\"),\"LowerLeft\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*e[0]+\"%\"),\"LowerRight\"==a&&(o.bottom=100*e[1]+\"%\",o.right=100*(1-e[2])+\"%\"),\"UpperEdge\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LowerEdge\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LeftEdge\"==a&&(o.left=100*e[0]+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),\"RightEdge\"==a&&(o.right=100*(1-e[2])+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),this._annotations_container.appendChild(t)}}))}}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.orientation_widget,(()=>{this._orientation_widget_visibility(this.model.orientation_widget)})),this.on_change(this.model.properties.camera,(()=>this._set_camera_state())),this.on_change(this.model.properties.axes,(()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_render()})),this.on_change(this.model.properties.color_mappers,(()=>this._add_colorbars())),this.on_change(this.model.properties.annotations,(()=>this._add_annotations()))}render(){super.render(),this._vtk_renwin&&this._vtk_container?((0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container)):(this._orientationWidget=null,this._axes=null,this._vtk_container=(0,a.div)(),this.init_vtk_renwin(),this._init_annotations_container(),(0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin.getInteractor().onEndAnimation((()=>this._get_camera_state())),this._remove_default_key_binding(),this._bind_key_events(),this.plot(),this._add_colorbars(),this._add_annotations(),this.model.renderer_el=this._vtk_renwin),this.el.appendChild(this._annotations_container)}after_layout(){super.after_layout(),this._renderable&&this._vtk_renwin.resize(),this._vtk_render()}invalidate_render(){this._unsubscribe_camera_cb(),super.invalidate_render()}resize_layout(){this.layout&&super.resize_layout()}remove(){this._unsubscribe_camera_cb(),window.removeEventListener(\"resize\",this._vtk_renwin.resize),null!=this._orientationWidget&&this._orientationWidget.delete(),this._vtk_renwin.getRenderWindow().getInteractor().delete(),this._vtk_renwin.delete(),super.remove()}get _vtk_camera_state(){const e=this._vtk_renwin.getRenderer().getActiveCamera();let t;return e&&(t=(0,o.clone)(e.get()),delete t.classHierarchy,delete t.vtkObject,delete t.vtkCamera,delete t.viewPlaneNormal,delete t.flattenedDepIds,delete t.managedInstanceId,delete t.directionOfProjection),t}get _axes_canvas(){let e=this._vtk_container.querySelector(\".axes-canvas\");return e||(e=(0,a.canvas)({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}}),e.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(e),this._vtk_renwin.setResizeCallback((()=>{if(this._axes_canvas){const e=this._vtk_container.getBoundingClientRect(),t=Math.floor(e.width*window.devicePixelRatio),i=Math.floor(e.height*window.devicePixelRatio);this._axes_canvas.setAttribute(\"width\",t.toFixed()),this._axes_canvas.setAttribute(\"height\",i.toFixed())}}))),e}_bind_key_events(){this.el.addEventListener(\"mouseenter\",(()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))})),this.el.addEventListener(\"mouseleave\",(()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}))}_create_orientation_widget(){const e=c.vtkns.AxesActor.newInstance();this._orientationWidget=c.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()}),this._orientationWidget.setEnabled(!0),this._orientationWidget.setViewportCorner(c.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),this._orientationWidget.setViewportSize(.15),this._orientationWidget.setMinPixelSize(75),this._orientationWidget.setMaxPixelSize(300),this.model.interactive_orientation_widget&&this._make_orientation_widget_interactive(),this._orientation_widget_visibility(this.model.orientation_widget)}_make_orientation_widget_interactive(){this._widgetManager=c.vtkns.WidgetManager.newInstance(),this._widgetManager.setRenderer(this._orientationWidget.getRenderer());const e=this._orientationWidget.getActor(),t=c.vtkns.InteractiveOrientationWidget.newInstance();t.placeWidget(e.getBounds()),t.setBounds(e.getBounds()),t.setPlaceFactor(1);this._widgetManager.addWidget(t).onOrientationChange((({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),s=t.getViewUp(),a=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*a,i[1]+e[1]*a,i[2]+e[2]*a),e[0]&&t.setViewUp((0,c.majorAxis)(s,1,2)),e[1]&&t.setViewUp((0,c.majorAxis)(s,0,2)),e[2]&&t.setViewUp((0,c.majorAxis)(s,0,1)),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._get_camera_state()}))}_delete_axes(){if(this._axes){Object.keys(this._axes).forEach((e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]))),this._axes=null;const e=this._axes_canvas.getContext(\"2d\");e&&e.clearRect(0,0,this._axes_canvas.clientWidth*window.devicePixelRatio,this._axes_canvas.clientHeight*window.devicePixelRatio)}}_get_camera_state(){this._setting_camera||(this._setting_camera=!0,this.model.camera=this._vtk_camera_state,this._setting_camera=!1)}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),null!=this._widgetManager&&(e?this._widgetManager.enablePicking():this._widgetManager.disablePicking()),this._vtk_render()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}_set_axes(){if(this.model.axes&&this._vtk_renwin.getRenderer()){const{psActor:e,axesActor:t,gridActor:i}=this.model.axes.create_axes(this._axes_canvas);this._axes={psActor:e,axesActor:t,gridActor:i},e&&this._vtk_renwin.getRenderer().addActor(e),t&&this._vtk_renwin.getRenderer().addActor(t),i&&this._vtk_renwin.getRenderer().addActor(i)}}_set_camera_state(){this._setting_camera||void 0===this._vtk_renwin.getRenderer()||(this._setting_camera=!0,this.model.camera&&JSON.stringify(this.model.camera)!=JSON.stringify(this._vtk_camera_state)&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._setting_camera=!1)}_unsubscribe_camera_cb(){this._camera_callbacks.splice(0,this._camera_callbacks.length).map((e=>e.unsubscribe()))}_vtk_render(){this._renderable&&(this._orientationWidget&&this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render())}}i.AbstractVTKView=v,v.__name__=\"AbstractVTKView\";class w extends r.HTMLBox{constructor(e){(0,c.setup_vtkns)(),super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define((({Any:e,Ref:t,Array:i,Boolean:n,Nullable:s})=>({axes:[s(t(g.VTKAxes)),null],camera:[e],color_mappers:[i(t(_.ColorMapper)),[]],orientation_widget:[n,!1],interactive_orientation_widget:[n,!1],annotations:[s(i(e)),null]}))),this.override({height:300,width:300})}}i.AbstractVTKPlot=w,w.__name__=\"AbstractVTKPlot\",w.__module__=\"panel.models.vtk\",w.init_AbstractVTKPlot()},\n      \"993f3118b2\": function _(e,n,t,r,a){r();const o=e(\"@bokehjs/core/util/array\"),i=e(\"@bokehjs/core/kinds\");function s(){if(null!=t.vtkns.Actor)return;const e=window.vtk;t.vtkns.Actor=e.Rendering.Core.vtkActor,t.vtkns.AxesActor=e.Rendering.Core.vtkAxesActor,t.vtkns.Base64=e.Common.Core.vtkBase64,t.vtkns.BoundingBox=e.Common.DataModel.vtkBoundingBox,t.vtkns.Camera=e.Rendering.Core.vtkCamera,t.vtkns.ColorTransferFunction=e.Rendering.Core.vtkColorTransferFunction,t.vtkns.CubeSource=e.Filters.Sources.vtkCubeSource,t.vtkns.DataAccessHelper=e.IO.Core.DataAccessHelper,t.vtkns.DataArray=e.Common.Core.vtkDataArray,t.vtkns.Follower=e.Rendering.Core.vtkFollower,t.vtkns.FullScreenRenderWindow=e.Rendering.Misc.vtkFullScreenRenderWindow,t.vtkns.Glyph3DMapper=e.Rendering.Core.vtkGlyph3DMapper,t.vtkns.HttpSceneLoader=e.IO.Core.vtkHttpSceneLoader,t.vtkns.ImageData=e.Common.DataModel.vtkImageData,t.vtkns.ImageMapper=e.Rendering.Core.vtkImageMapper,t.vtkns.ImageProperty=e.Rendering.Core.vtkImageProperty,t.vtkns.ImageSlice=e.Rendering.Core.vtkImageSlice,t.vtkns.InteractiveOrientationWidget=e.Widgets.Widgets3D.vtkInteractiveOrientationWidget,t.vtkns.InteractorStyleTrackballCamera=e.Interaction.Style.vtkInteractorStyleTrackballCamera,t.vtkns.Light=e.Rendering.Core.vtkLight,t.vtkns.LineSource=e.Filters.Sources.vtkLineSource,t.vtkns.LookupTable=e.Common.Core.vtkLookupTable,t.vtkns.macro=e.macro,t.vtkns.Mapper=e.Rendering.Core.vtkMapper,t.vtkns.OpenGLRenderWindow=e.Rendering.OpenGL.vtkRenderWindow,t.vtkns.OrientationMarkerWidget=e.Interaction.Widgets.vtkOrientationMarkerWidget,t.vtkns.OutlineFilter=e.Filters.General.vtkOutlineFilter,t.vtkns.PiecewiseFunction=e.Common.DataModel.vtkPiecewiseFunction,t.vtkns.PixelSpaceCallbackMapper=e.Rendering.Core.vtkPixelSpaceCallbackMapper,t.vtkns.PlaneSource=e.Filters.Sources.vtkPlaneSource,t.vtkns.PointSource=e.Filters.Sources.vtkPointSource,t.vtkns.PolyData=e.Common.DataModel.vtkPolyData,t.vtkns.Property=e.Rendering.Core.vtkProperty,t.vtkns.Renderer=e.Rendering.Core.vtkRenderer,t.vtkns.RenderWindow=e.Rendering.Core.vtkRenderWindow,t.vtkns.RenderWindowInteractor=e.Rendering.Core.vtkRenderWindowInteractor,t.vtkns.SphereMapper=e.Rendering.Core.vtkSphereMapper,t.vtkns.SynchronizableRenderWindow=e.Rendering.Misc.vtkSynchronizableRenderWindow,t.vtkns.ThirdParty=e.ThirdParty,t.vtkns.Texture=e.Rendering.Core.vtkTexture,t.vtkns.Volume=e.Rendering.Core.vtkVolume,t.vtkns.VolumeController=e.Interaction.UI.vtkVolumeController,t.vtkns.VolumeMapper=e.Rendering.Core.vtkVolumeMapper,t.vtkns.VolumeProperty=e.Rendering.Core.vtkVolumeProperty,t.vtkns.WidgetManager=e.Widgets.Core.vtkWidgetManager;const{vtkObjectManager:n}=t.vtkns.SynchronizableRenderWindow;n.setTypeMapping(\"vtkVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkSmartVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkFollower\",t.vtkns.Follower.newInstance,n.genericUpdater),n.setTypeMapping(\"vtkOpenGLGlyph3DMapper\",t.vtkns.Glyph3DMapper.newInstance,n.genericUpdater)}function k(e){const n=Math.min(Math.max(Math.round(e),0),255).toString(16);return 2==n.length?n:\"0\"+n}function c(e,n,t){return\"#\"+k(e)+k(n)+k(t)}function v(e){for(var n=new ArrayBuffer(e.length),t=new Uint8Array(n),r=0,a=e.length;r<a;r++)t[r]=e.charCodeAt(r);return n}t.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},t.vtkns={},t.setup_vtkns=s,window.vtk&&s(),t.Interpolation=(0,i.Enum)(\"fast_linear\",\"linear\",\"nearest\"),t.applyStyle=function(e,n){Object.keys(n).forEach((t=>{e.style[t]=n[t]}))},t.hexToRGB=function(e){return[parseInt(e.slice(1,3),16)/255,parseInt(e.slice(3,5),16)/255,parseInt(e.slice(5,7),16)/255]},t.rgbToHex=c,t.vtkLutToMapper=function(e){const{scale:n,nodes:r}=e.get(\"scale\",\"nodes\");if(n!==t.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const a=r.map((e=>e.x)),i=Math.min(...a),s=Math.max(...a),k=(0,o.linspace)(i,s,255),v=[0,0,0];return{low:i,high:s,palette:k.map((n=>(e.getColor(n,v),c(255*v[0],255*v[1],255*v[2]))))}},t.data2VTKImageData=function(e){const n=t.vtkns.ImageData.newInstance({spacing:e.spacing});n.setDimensions(e.dims),n.setOrigin(null!=e.origin?e.origin:e.dims.map((e=>e/2)));const r=t.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new t.ARRAY_TYPES[e.dtype](v(atob(e.buffer)))});return n.getPointData().setScalars(r),n},t.majorAxis=function(e,n,t){const r=[0,0,0],a=Math.abs(e[n])>Math.abs(e[t])?n:t,o=e[a]>0?1:-1;return r[a]=o,r},t.cartesian_product=function(...e){return e.reduce(((e,n)=>e.flatMap((e=>n.map((n=>[].concat(e,n)))))))}},\n      \"c010237f8b\": function _(t,i,e,s,h){s();const a=t(\"@bokehjs/models/mappers\"),n=t(\"@bokehjs/core/util/array\");class c{constructor(t,i,e={}){this.parent=t,this.mapper=i,this.options=e,e.ticksNum||(e.ticksNum=5),e.fontFamily||(e.fontFamily=\"Arial\"),e.fontSize||(e.fontSize=\"12px\"),e.ticksSize||(e.ticksSize=2),this.canvas=document.createElement(\"canvas\"),this.canvas.style.width=\"100%\",this.parent.appendChild(this.canvas),this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`,this.ctx.lineWidth=e.ticksSize,e.height||(e.height=4*(this.font_height+1)+\"px\"),this.canvas.style.height=e.height,this.draw_colorbar()}get values(){const{min:t,max:i}=this.mapper.metrics;return(0,n.linspace)(t,i,this.options.ticksNum)}get ticks(){return this.values.map((t=>t.toExponential(3)))}get title(){return this.mapper.name?this.mapper.name:\"scalars\"}get font_height(){let t=0;return this.values.forEach((i=>{const{actualBoundingBoxAscent:e,actualBoundingBoxDescent:s}=this.ctx.measureText(`${i}`),h=e+s;t<h&&(t=h)})),t}draw_colorbar(){this.canvas.width=this.canvas.clientWidth,this.canvas.height=this.canvas.clientHeight;const{palette:t}=this.mapper;this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`;const i=this.font_height;this.ctx.save();const e=document.createElement(\"canvas\"),s=t.length;e.width=s,e.height=1;const h=e.getContext(\"2d\"),c=h.getImageData(0,0,s,1),o=new a.LinearColorMapper({palette:t}).rgba_mapper.v_compute((0,n.range)(0,t.length));c.data.set(o),h.putImageData(c,0,0),this.ctx.drawImage(e,0,2*(this.font_height+1)+1,this.canvas.width,this.canvas.height),this.ctx.restore(),this.ctx.save(),this.ctx.textAlign=\"center\",this.ctx.fillText(this.title,this.canvas.width/2,i+1),this.ctx.restore(),this.ctx.save();const r=(0,n.linspace)(0,this.canvas.width,5);r.forEach(((t,e)=>{let s=t;0==e?(s=t+Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"left\"):e==r.length-1?(s=t-Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"right\"):this.ctx.textAlign=\"center\",this.ctx.moveTo(s,2*(i+1)),this.ctx.lineTo(s,2*(i+1)+5),this.ctx.stroke(),this.ctx.fillText(`${this.ticks[e]}`,t,2*(i+1))})),this.ctx.restore()}}e.VTKColorBar=c,c.__name__=\"VTKColorBar\"},\n      \"ab478186ba\": function _(t,i,s,e,n){e();const a=t(\"@bokehjs/model\"),c=t(\"2f3fd5db07\"),r=t(\"993f3118b2\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define((({Any:t,Array:i,Boolean:s,Number:e})=>({origin:[i(e)],xticker:[t],yticker:[t],zticker:[t],digits:[e,1],show_grid:[s,!0],grid_opacity:[e,.1],axes_opacity:[e,1],fontsize:[e,12]})))}get xticks(){return this.xticker?this.xticker.ticks:[]}get yticks(){return this.yticker?this.yticker.ticks:[]}get zticks(){return this.zticker?this.zticker.ticks:[]}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map((t=>t.toFixed(this.digits)))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map((t=>t.toFixed(this.digits)))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map((t=>t.toFixed(this.digits)))}_make_grid_lines(t,i,s){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<i-1;t++){const a=n*i+t+s,c=[5,a,n*i+t+1+s,(n+1)*i+t+1+s,(n+1)*i+t+s,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push((0,r.cartesian_product)(this.xticks,this.yticks,[this.origin[2]])),t.push((0,r.cartesian_product)([this.origin[0]],this.yticks,this.zticks)),t.push((0,r.cartesian_product)(this.xticks,[this.origin[1]],this.zticks));const i=[];let s=0;i.push(this._make_grid_lines(this.xticks.length,this.yticks.length,s)),s+=this.xticks.length*this.yticks.length,i.push(this._make_grid_lines(this.yticks.length,this.zticks.length,s)),s+=this.yticks.length*this.zticks.length,i.push(this._make_grid_lines(this.xticks.length,this.zticks.length,s));const e=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:i.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){if(null==this.origin)return{psActor:null,axesActor:null,gridActor:null};const i=[this.xticks,this.yticks,this.zticks].map(((t,i)=>{let s=null;switch(i){case 0:s=(0,r.cartesian_product)(t,[this.origin[1]],[this.origin[2]]);break;case 1:s=(0,r.cartesian_product)([this.origin[0]],t,[this.origin[2]]);break;case 2:s=(0,r.cartesian_product)([this.origin[0]],[this.origin[1]],t)}return s})).flat(2),s=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:i},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(s),e.setUseZValues(!0),e.setCallback(((i,s,n)=>{const a=t.getContext(\"2d\");if(a){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=s.getViewMatrix();c.mat4.transpose(l,l);const o=s.getProjectionMatrix(n,-1,1);c.mat4.transpose(o,o),a.clearRect(0,0,r.width,r.height),i.forEach(((t,i)=>{const s=h.getPoint(i),e=c.vec3.fromValues(s[0],s[1],s[2]);if(c.vec3.transformMat4(e,e,l),e[2]+=.05,c.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let s;a.font=\"30px serif\",a.textAlign=\"center\",a.textBaseline=\"alphabetic\",a.fillText(\".\",t[0],r.height-t[1]+2),a.font=this.fontsize*window.devicePixelRatio+\"px serif\",a.textAlign=\"right\",a.textBaseline=\"top\",s=i<this.xticks.length?this.xlabels[i]:i>=this.xticks.length&&i<this.xticks.length+this.yticks.length?this.ylabels[i-this.xticks.length]:this.zlabels[i-(this.xticks.length+this.yticks.length)],a.fillText(`${s}`,t[0],r.height-t[1])}}))}}));const n=r.vtkns.Actor.newInstance();n.setMapper(e);const a=r.vtkns.Mapper.newInstance();a.setInputData(s);const h=r.vtkns.Actor.newInstance();h.setMapper(a),h.getProperty().setOpacity(this.axes_opacity);return{psActor:n,axesActor:h,gridActor:this._create_grid_axes()}}}s.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n      \"2f3fd5db07\": function 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t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=e,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,A=n*s-o*e,x=r*c-u*i,d=r*s-o*i,I=u*s-o*c,L=M*m-h*l,N=M*v-f*l,O=M*E-b*l,R=h*v-f*m,p=h*E-b*m,Y=f*E-b*v,y=P*Y-S*p+A*R+x*O-d*N+I*L;return y?(y=1/y,t[0]=(i*Y-c*p+s*R)*y,t[1]=(c*O-e*Y-s*N)*y,t[2]=(e*p-i*O+s*L)*y,t[3]=(u*p-r*Y-o*R)*y,t[4]=(n*Y-u*O+o*N)*y,t[5]=(r*O-n*p-o*L)*y,t[6]=(m*I-v*d+E*x)*y,t[7]=(v*A-l*I-E*S)*y,t[8]=(l*d-m*A+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=i,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],A=a[8];return Math.abs(n-f)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(r-b)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(b))&&Math.abs(u-l)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(l))&&Math.abs(e-m)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=o.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-A)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(A))},n.mul=e,n.sub=i},\n      \"a427635f32\": function _(t,a,n,r,h){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function u(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function M(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],m=a[12],v=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],L=n[3];return t[0]=S*r+I*M+O*c+L*m,t[1]=S*h+I*s+O*f+L*v,t[2]=S*o+I*e+O*b+L*P,t[3]=S*u+I*i+O*l+L*E,S=n[4],I=n[5],O=n[6],L=n[7],t[4]=S*r+I*M+O*c+L*m,t[5]=S*h+I*s+O*f+L*v,t[6]=S*o+I*e+O*b+L*P,t[7]=S*u+I*i+O*l+L*E,S=n[8],I=n[9],O=n[10],L=n[11],t[8]=S*r+I*M+O*c+L*m,t[9]=S*h+I*s+O*f+L*v,t[10]=S*o+I*e+O*b+L*P,t[11]=S*u+I*i+O*l+L*E,S=n[12],I=n[13],O=n[14],L=n[15],t[12]=S*r+I*M+O*c+L*m,t[13]=S*h+I*s+O*f+L*v,t[14]=S*o+I*e+O*b+L*P,t[15]=S*u+I*i+O*l+L*E,t}function s(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,s=h+h,e=o+o,i=r*M,c=r*s,f=r*e,b=h*s,l=h*e,m=o*e,v=u*M,P=u*s,E=u*e;return t[0]=1-(b+m),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+m),t[6]=l+v,t[7]=0,t[8]=f+P,t[9]=l-v,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function e(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],s=a[8],e=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(s,e,i),t}function i(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new o.ARRAY_TYPE(16);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new o.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,r,h,u,M,s,e,i,c,f,b,l,m,v){var P=new o.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=r,P[4]=h,P[5]=u,P[6]=M,P[7]=s,P[8]=e,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=m,P[15]=v,P},n.set=function(t,a,n,r,h,o,u,M,s,e,i,c,f,b,l,m,v){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=s,t[8]=e,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=m,t[15]=v,t},n.identity=u,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15],E=n*M-r*u,S=n*s-h*u,I=n*e-o*u,O=r*s-h*M,L=r*e-o*M,N=h*e-o*s,p=i*m-c*l,R=i*v-f*l,x=i*P-b*l,A=c*v-f*m,y=c*P-b*m,Y=f*P-b*v,g=E*Y-S*y+I*A+O*x-L*R+N*p;return g?(g=1/g,t[0]=(M*Y-s*y+e*A)*g,t[1]=(h*y-r*Y-o*A)*g,t[2]=(m*N-v*L+P*O)*g,t[3]=(f*L-c*N-b*O)*g,t[4]=(s*x-u*Y-e*R)*g,t[5]=(n*Y-h*x+o*R)*g,t[6]=(v*I-l*N-P*S)*g,t[7]=(i*N-f*I+b*S)*g,t[8]=(u*y-M*x+e*p)*g,t[9]=(r*x-n*y-o*p)*g,t[10]=(l*L-m*I+P*E)*g,t[11]=(c*I-i*L-b*E)*g,t[12]=(M*R-u*A-s*p)*g,t[13]=(n*A-r*R+h*p)*g,t[14]=(m*S-l*O-v*E)*g,t[15]=(i*O-c*S+f*E)*g,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15];return t[0]=M*(f*P-b*v)-c*(s*P-e*v)+m*(s*b-e*f),t[1]=-(r*(f*P-b*v)-c*(h*P-o*v)+m*(h*b-o*f)),t[2]=r*(s*P-e*v)-M*(h*P-o*v)+m*(h*e-o*s),t[3]=-(r*(s*b-e*f)-M*(h*b-o*f)+c*(h*e-o*s)),t[4]=-(u*(f*P-b*v)-i*(s*P-e*v)+l*(s*b-e*f)),t[5]=n*(f*P-b*v)-i*(h*P-o*v)+l*(h*b-o*f),t[6]=-(n*(s*P-e*v)-u*(h*P-o*v)+l*(h*e-o*s)),t[7]=n*(s*b-e*f)-u*(h*b-o*f)+i*(h*e-o*s),t[8]=u*(c*P-b*m)-i*(M*P-e*m)+l*(M*b-e*c),t[9]=-(n*(c*P-b*m)-i*(r*P-o*m)+l*(r*b-o*c)),t[10]=n*(M*P-e*m)-u*(r*P-o*m)+l*(r*e-o*M),t[11]=-(n*(M*b-e*c)-u*(r*b-o*c)+i*(r*e-o*M)),t[12]=-(u*(c*v-f*m)-i*(M*v-s*m)+l*(M*f-s*c)),t[13]=n*(c*v-f*m)-i*(r*v-h*m)+l*(r*f-h*c),t[14]=-(n*(M*v-s*m)-u*(r*v-h*m)+l*(r*s-h*M)),t[15]=n*(M*f-s*c)-u*(r*f-h*c)+i*(r*s-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],s=t[7],e=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],m=t[14],v=t[15];return(a*u-n*o)*(c*v-f*m)-(a*M-r*o)*(i*v-f*l)+(a*s-h*o)*(i*m-c*l)+(n*M-r*u)*(e*v-f*b)-(n*s-h*u)*(e*m-c*b)+(r*s-h*M)*(e*l-i*b)},n.multiply=M,n.translate=function(t,a,n){var r,h,o,u,M,s,e,i,c,f,b,l,m=n[0],v=n[1],P=n[2];return a===t?(t[12]=a[0]*m+a[4]*v+a[8]*P+a[12],t[13]=a[1]*m+a[5]*v+a[9]*P+a[13],t[14]=a[2]*m+a[6]*v+a[10]*P+a[14],t[15]=a[3]*m+a[7]*v+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=s,t[6]=e,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*m+M*v+c*P+a[12],t[13]=h*m+s*v+f*P+a[13],t[14]=o*m+e*v+b*P+a[14],t[15]=u*m+i*v+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,r){var h,u,M,s,e,i,c,f,b,l,m,v,P,E,S,I,O,L,N,p,R,x,A,y,Y=r[0],g=r[1],T=r[2],d=Math.hypot(Y,g,T);return d<o.EPSILON?null:(Y*=d=1/d,g*=d,T*=d,h=Math.sin(n),M=1-(u=Math.cos(n)),s=a[0],e=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],m=a[7],v=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=g*Y*M+T*h,L=T*Y*M-g*h,N=Y*g*M-T*h,p=g*g*M+u,R=T*g*M+Y*h,x=Y*T*M+g*h,A=g*T*M-Y*h,y=T*T*M+u,t[0]=s*I+f*O+v*L,t[1]=e*I+b*O+P*L,t[2]=i*I+l*O+E*L,t[3]=c*I+m*O+S*L,t[4]=s*N+f*p+v*R,t[5]=e*N+b*p+P*R,t[6]=i*N+l*p+E*R,t[7]=c*N+m*p+S*R,t[8]=s*x+f*A+v*y,t[9]=e*x+b*A+P*y,t[10]=i*x+l*A+E*y,t[11]=c*x+m*A+S*y,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],s=a[7],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+e*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=s*h+f*r,t[8]=e*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-s*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-e*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=s*h-f*r,t[8]=o*r+e*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=s*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+e*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=s*h+f*r,t[4]=e*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-s*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var r,h,u,M=n[0],s=n[1],e=n[2],i=Math.hypot(M,s,e);return i<o.EPSILON?null:(M*=i=1/i,s*=i,e*=i,r=Math.sin(a),u=1-(h=Math.cos(a)),t[0]=M*M*u+h,t[1]=s*M*u+e*r,t[2]=e*M*u-s*r,t[3]=0,t[4]=M*s*u-e*r,t[5]=s*s*u+h,t[6]=e*s*u+M*r,t[7]=0,t[8]=M*e*u+s*r,t[9]=s*e*u-M*r,t[10]=e*e*u+h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=s,n.fromQuat2=function(t,a){var n=new o.ARRAY_TYPE(3),r=-a[0],h=-a[1],u=-a[2],M=a[3],e=a[4],i=a[5],c=a[6],f=a[7],b=r*r+h*h+u*u+M*M;return b>0?(n[0]=2*(e*M+f*r+i*u-c*h)/b,n[1]=2*(i*M+f*h+c*r-e*u)/b,n[2]=2*(c*M+f*u+e*h-i*r)/b):(n[0]=2*(e*M+f*r+i*u-c*h),n[1]=2*(i*M+f*h+c*r-e*u),n[2]=2*(c*M+f*u+e*h-i*r)),s(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=e,n.getRotation=function(t,a){var n=new o.ARRAY_TYPE(3);e(n,a);var r=1/n[0],h=1/n[1],u=1/n[2],M=a[0]*r,s=a[1]*h,i=a[2]*u,c=a[4]*r,f=a[5]*h,b=a[6]*u,l=a[8]*r,m=a[9]*h,v=a[10]*u,P=M+f+v,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-m)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):M>f&&M>v?(E=2*Math.sqrt(1+M-f-v),t[3]=(b-m)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>v?(E=2*Math.sqrt(1+f-M-v),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+m)/E):(E=2*Math.sqrt(1+v-M-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+m)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],s=h+h,e=o+o,i=u+u,c=h*s,f=h*e,b=h*i,l=o*e,m=o*i,v=u*i,P=M*s,E=M*e,S=M*i,I=r[0],O=r[1],L=r[2];return t[0]=(1-(l+v))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+v))*O,t[6]=(m+P)*O,t[7]=0,t[8]=(b+E)*L,t[9]=(m-P)*L,t[10]=(1-(c+l))*L,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],s=a[3],e=o+o,i=u+u,c=M+M,f=o*e,b=o*i,l=o*c,m=u*i,v=u*c,P=M*c,E=s*e,S=s*i,I=s*c,O=r[0],L=r[1],N=r[2],p=h[0],R=h[1],x=h[2],A=(1-(m+P))*O,y=(b+I)*O,Y=(l-S)*O,g=(b-I)*L,T=(1-(f+P))*L,d=(v+E)*L,_=(l+S)*N,q=(v-E)*N,w=(1-(f+m))*N;return t[0]=A,t[1]=y,t[2]=Y,t[3]=0,t[4]=g,t[5]=T,t[6]=d,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+p-(A*p+g*R+_*x),t[13]=n[1]+R-(y*p+T*R+q*x),t[14]=n[2]+x-(Y*p+d*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,s=h+h,e=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*s,m=o*u,v=o*M,P=o*s;return t[0]=1-c-l,t[1]=i+P,t[2]=f-v,t[3]=0,t[4]=i-P,t[5]=1-e-l,t[6]=b+m,t[7]=0,t[8]=f+v,t[9]=b-m,t[10]=1-e-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),s=1/(h-r),e=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*s,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*s,t[10]=(u+o)*e,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*e,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),s=2/(u+M),e=2/(h+o);return t[0]=s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e,t[6]=0,t[7]=0,t[8]=-(u-M)*s*.5,t[9]=(h-o)*e*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),s=1/(r-h),e=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*s,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*e,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*s,t[14]=(u+o)*e,t[15]=1,t},n.lookAt=function(t,a,n,r){var h,M,s,e,i,c,f,b,l,m,v=a[0],P=a[1],E=a[2],S=r[0],I=r[1],O=r[2],L=n[0],N=n[1],p=n[2];return Math.abs(v-L)<o.EPSILON&&Math.abs(P-N)<o.EPSILON&&Math.abs(E-p)<o.EPSILON?u(t):(f=v-L,b=P-N,l=E-p,h=I*(l*=m=1/Math.hypot(f,b,l))-O*(b*=m),M=O*(f*=m)-S*l,s=S*b-I*f,(m=Math.hypot(h,M,s))?(h*=m=1/m,M*=m,s*=m):(h=0,M=0,s=0),e=b*s-l*M,i=l*h-f*s,c=f*M-b*h,(m=Math.hypot(e,i,c))?(e*=m=1/m,i*=m,c*=m):(e=0,i=0,c=0),t[0]=h,t[1]=e,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=s,t[9]=c,t[10]=l,t[11]=0,t[12]=-(h*v+M*P+s*E),t[13]=-(e*v+i*P+c*E),t[14]=-(f*v+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],s=r[1],e=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=s*f-e*c,m=e*i-M*f,v=M*c-s*i;return(b=l*l+m*m+v*v)>0&&(l*=b=1/Math.sqrt(b),m*=b,v*=b),t[0]=l,t[1]=m,t[2]=v,t[3]=0,t[4]=c*v-f*m,t[5]=f*l-i*v,t[6]=i*m-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=i,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],r=t[1],h=t[2],u=t[3],M=t[4],s=t[5],e=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],m=t[12],v=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],L=a[3],N=a[4],p=a[5],R=a[6],x=a[7],A=a[8],y=a[9],Y=a[10],g=a[11],T=a[12],d=a[13],_=a[14],q=a[15];return Math.abs(n-S)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(S))&&Math.abs(r-I)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(I))&&Math.abs(h-O)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(O))&&Math.abs(u-L)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(L))&&Math.abs(M-N)<=o.EPSILON*Math.max(1,Math.abs(M),Math.abs(N))&&Math.abs(s-p)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(p))&&Math.abs(e-R)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(R))&&Math.abs(i-x)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(x))&&Math.abs(c-A)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(A))&&Math.abs(f-y)<=o.EPSILON*Math.max(1,Math.abs(f),Math.abs(y))&&Math.abs(b-Y)<=o.EPSILON*Math.max(1,Math.abs(b),Math.abs(Y))&&Math.abs(l-g)<=o.EPSILON*Math.max(1,Math.abs(l),Math.abs(g))&&Math.abs(m-T)<=o.EPSILON*Math.max(1,Math.abs(m),Math.abs(T))&&Math.abs(v-d)<=o.EPSILON*Math.max(1,Math.abs(v),Math.abs(d))&&Math.abs(P-_)<=o.EPSILON*Math.max(1,Math.abs(P),Math.abs(_))&&Math.abs(E-q)<=o.EPSILON*Math.max(1,Math.abs(E),Math.abs(q))},n.mul=M,n.sub=i},\n 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r=-a[0],e=-a[1],u=-a[2],o=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*o+f*r+c*u-h*e,b=c*o+f*e+h*r-s*u,l=h*o+f*u+s*e-c*r,v=f*o-s*r-c*e-h*u;return i.rotateZ(t,a,n),r=t[0],e=t[1],u=t[2],o=t[3],t[4]=M*o+v*r+b*u-l*e,t[5]=b*o+v*e+l*r-M*u,t[6]=l*o+v*u+M*e-b*r,t[7]=v*o-M*r-b*e-l*u,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<o.EPSILON)return h(t,a);var e=Math.hypot(n[0],n[1],n[2]);r*=.5;var u=Math.sin(r),i=u*n[0]/e,s=u*n[1]/e,c=u*n[2]/e,f=Math.cos(r),M=a[0],b=a[1],l=a[2],v=a[3];t[0]=M*f+v*i+b*c-l*s,t[1]=b*f+v*s+l*i-M*c,t[2]=l*f+v*c+M*s-b*i,t[3]=v*f-M*i-b*s-l*c;var m=a[4],R=a[5],A=a[6],E=a[7];return t[4]=m*f+E*i+R*c-A*s,t[5]=R*f+E*s+A*i-m*c,t[6]=A*f+E*c+m*s-R*i,t[7]=E*f-m*i-R*s-A*c,t},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t},n.multiply=f,n.mul=f,n.scale=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t},n.dot=i.dot,n.lerp=function(t,a,r,e){var u=1-e;return(0,n.dot)(a,r)<0&&(e=-e),t[0]=a[0]*u+r[0]*e,t[1]=a[1]*u+r[1]*e,t[2]=a[2]*u+r[2]*e,t[3]=a[3]*u+r[3]*e,t[4]=a[4]*u+r[4]*e,t[5]=a[5]*u+r[5]*e,t[6]=a[6]*u+r[6]*e,t[7]=a[7]*u+r[7]*e,t},n.invert=function(t,a){var r=(0,n.squaredLength)(a);return t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=i.length,n.len=n.length,n.squaredLength=i.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=(0,n.squaredLength)(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],e=t[2],u=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],b=a[2],l=a[3],v=a[4],m=a[5],R=a[6],A=a[7];return Math.abs(n-f)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(r-M)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(M))&&Math.abs(e-b)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(b))&&Math.abs(u-l)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(l))&&Math.abs(i-v)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(s-m)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(m))&&Math.abs(c-R)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(R))&&Math.abs(h-A)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(A))}},\n      \"c56d9ff837\": function _(n,t,r,a,u){a();const e=(0,n(\"tslib\").__importStar)(n(\"68ca94c15c\"));function o(){var n=new e.ARRAY_TYPE(2);return e.ARRAY_TYPE!=Float32Array&&(n[0]=0,n[1]=0),n}function c(n,t,r){return n[0]=t[0]-r[0],n[1]=t[1]-r[1],n}function i(n,t,r){return n[0]=t[0]*r[0],n[1]=t[1]*r[1],n}function f(n,t,r){return n[0]=t[0]/r[0],n[1]=t[1]/r[1],n}function s(n,t){var r=t[0]-n[0],a=t[1]-n[1];return Math.hypot(r,a)}function h(n,t){var r=t[0]-n[0],a=t[1]-n[1];return r*r+a*a}function M(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function l(n){var t=n[0],r=n[1];return t*t+r*r}var v;r.create=o,r.clone=function(n){var t=new e.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new e.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=c,r.multiply=i,r.divide=f,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=s,r.squaredDistance=h,r.length=M,r.squaredLength=l,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*e.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],a=n[1],u=t[0],o=t[1];return Math.abs(r-u)<=e.EPSILON*Math.max(1,Math.abs(r),Math.abs(u))&&Math.abs(a-o)<=e.EPSILON*Math.max(1,Math.abs(a),Math.abs(o))},r.len=M,r.sub=c,r.mul=i,r.div=f,r.dist=s,r.sqrDist=h,r.sqrLen=l,r.forEach=(v=o(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)v[0]=n[o],v[1]=n[o+1],u(v,v,e),n[o]=v[0],n[o+1]=v[1];return n})},\n      \"7785475bdd\": function _(e,t,i,s,n){s();const r=e(\"e13c143c7d\"),o=e(\"993f3118b2\");class a extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data),this.invalidate_render()})),this.connect(this.model.properties.colormap.change,(()=>{this.colormap_selector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_selector.dispatchEvent(e)})),this.connect(this.model.properties.shadow.change,(()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)})),this.connect(this.model.properties.sampling.change,(()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)})),this.connect(this.model.properties.edge_gradient.change,(()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)})),this.connect(this.model.properties.rescale.change,(()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.ambient.change,(()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.diffuse.change,(()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular.change,(()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular_power.change,(()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_volume.change,(()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_slices.change,(()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.slice_i.change,(()=>{void 0!==this.image_actor_i&&(this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_j.change,(()=>{void 0!==this.image_actor_j&&(this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_k.change,(()=>{void 0!==this.image_actor_k&&(this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.render_background.change,(()=>{this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.interpolation.change,(()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.controller_expanded.change,(()=>{null!=this._controllerWidget&&this._controllerWidget.setExpanded(this.model.controller_expanded)})),this.connect(this.model.properties.nan_opacity.change,(()=>{const e=this.image_actor_i.getProperty().getScalarOpacity();e.get([\"nodes\"]).nodes[0].y=this.model.nan_opacity,e.modified(),this._vtk_renwin.getRenderWindow().render()}))}render(){this._vtk_renwin=null,this._orientationWidget=null,this._axes=null,super.render(),this._create_orientation_widget(),this._set_axes(),this.model.camera?this._set_camera_state():this._vtk_renwin.getRenderer().resetCamera(),this._get_camera_state()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=o.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){this._controllerWidget=o.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._plot_volume(),this._plot_slices(),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),this.volume,!0),this._controllerWidget.setContainer(this.el),this._controllerWidget.setExpanded(this.model.controller_expanded),this._connect_js_controls(),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._set_camera_state()}get vtk_image_data(){return this._vtk_image_data||(this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data)),this._vtk_image_data}get volume(){return this._vtk_renwin.getRenderer().getVolumes()[0]}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_selector(){return this.el.querySelector(\".js-color-preset\")}_connect_js_controls(){const{el:e}=this._controllerWidget.get(\"el\");if(void 0!==e){e.querySelector(\".js-button\").addEventListener(\"click\",(()=>this.model.controller_expanded=this._controllerWidget.getExpanded()))}this.colormap_selector.addEventListener(\"change\",(()=>{this.model.colormap=this.colormap_selector.value})),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_selector.value,this.shadow_selector.addEventListener(\"change\",(()=>{this.model.shadow=!!Number(this.shadow_selector.value)})),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",(()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)})),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",(()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)})),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_slices(){const e=this._vtk_image_data,t=o.vtkns.ImageSlice.newInstance(),i=o.vtkns.ImageSlice.newInstance(),s=o.vtkns.ImageSlice.newInstance(),n=o.vtkns.ImageMapper.newInstance(),r=o.vtkns.ImageMapper.newInstance(),a=o.vtkns.ImageMapper.newInstance();n.setInputData(e),n.setISlice(this.model.slice_i),t.setMapper(n),r.setInputData(e),r.setJSlice(this.model.slice_j),i.setMapper(r),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=o.vtkns.PiecewiseFunction.newInstance(),d=this.volume.getProperty().getRGBTransferFunction(0),c=this.volume.getMapper().getInputData().getPointData().getScalars().getRange();l.removeAllPoints(),l.addPoint(c[0]-1,this.model.nan_opacity),l.addPoint(c[0],1),l.addPoint(c[1],1);const _=t.getProperty();i.setProperty(_),s.setProperty(_),_.setRGBTransferFunction(d),_.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_plot_volume(){const e=this.vtk_image_data,t=o.vtkns.Volume.newInstance(),i=o.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),n=o.vtkns.ColorTransferFunction.newInstance();n.onModified((()=>this.model.mapper=(0,o.vtkLutToMapper)(n)));const r=o.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map((e=>e*e)).reduce(((e,t)=>e+t),0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,n),t.getProperty().setScalarOpacity(0,r),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,o.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t)}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}_set_slices_visibility(e){this.image_actor_i.setVisibility(e),this.image_actor_j.setVisibility(e),this.image_actor_k.setVisibility(e)}_set_volume_visibility(e){this.volume.setVisibility(e)}}i.VTKVolumePlotView=a,a.__name__=\"VTKVolumePlotView\";class l extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=a,this.define((({Any:e,Array:t,Boolean:i,Int:s,Number:n,String:r,Struct:a})=>({ambient:[n,.2],colormap:[r],data:[e],diffuse:[n,.7],display_slices:[i,!1],display_volume:[i,!0],edge_gradient:[n,.2],interpolation:[o.Interpolation,\"fast_linear\"],mapper:[a({palette:t(r),low:n,high:n})],nan_opacity:[n,1],render_background:[r,\"#52576e\"],rescale:[i,!1],sampling:[n,.4],shadow:[i,!0],slice_i:[s,0],slice_j:[s,0],slice_k:[s,0],specular:[n,.3],specular_power:[n,8],controller_expanded:[i,!0]})))}}i.VTKVolumePlot=l,l.__name__=\"VTKVolumePlot\",l.init_VTKVolumePlot()},\n      \"0a57062475\": function _(e,t,n,s,i){s();const r=e(\"@bokehjs/core/util/object\"),o=e(\"e13c143c7d\"),_=e(\"877619fe71\"),a=e(\"993f3118b2\"),c=\"panel\";class h extends o.AbstractVTKView{initialize(){super.initialize(),this._promises=[],this._renderable=!1,this._arrays={},this._decoded_arrays={},this._pending_arrays={},this.registerArray=(e,t)=>(this._arrays[e]=t,this._pending_arrays[e]&&this._pending_arrays[e].resolve(t),!0),this._synchronizer_context=a.vtkns.SynchronizableRenderWindow.getSynchronizerContext(c)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.arrays.change,(()=>this._decode_arrays())),this.connect(this.model.properties.scene.change,(()=>{if(this.model.rebuild)this._vtk_renwin=null,this.invalidate_render();else{const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>{this._on_scene_ready()}))}))}})),this.connect(this.model.properties.one_time_reset.change,(()=>{this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters()}))}init_vtk_renwin(){this._vtk_renwin=a.vtkns.FullScreenRenderWindowSynchronized.newInstance({rootContainer:this.el,container:this._vtk_container,synchronizerContext:this._synchronizer_context})}plot(){this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters(),this._decode_arrays();const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>this._on_scene_ready())).then((()=>{this._set_camera_state(),this._get_camera_state()}))}))}_decode_arrays(){const e=new a.vtkns.ThirdParty.JSZip,t=this.model.arrays,n=this.registerArray,s=this.model.arrays_processed,i=this.model;Object.keys(t).forEach((r=>{this._decoded_arrays[r]||(this._decoded_arrays[r]=!0,this._promises.push(function(r){return e.loadAsync(atob(t[r])).then((e=>e.file(\"data/\"+r))).then((e=>e.async(\"arraybuffer\"))).then((e=>n(r,e))).then((()=>{s.push(r),i.properties.arrays_processed.change.emit()}))}(r)))}))}_on_scene_ready(){this._promises.length>0||(this._renderable=!0,this._camera_callbacks.push(this._vtk_renwin.getRenderer().getActiveCamera().onModified((()=>this._vtk_render()))),this._orientationWidget||this._create_orientation_widget(),this._axes||this._set_axes(),this._vtk_renwin.resize(),this._vtk_render())}_sync_plot(e,t){this._renderable=!1,this._promises=[],this._unsubscribe_camera_cb(),this._synchronizer_context.setFetchArrayFunction((e=>Promise.resolve(this._arrays[e])));const n=this._synchronizer_context.getInstance(this.model.scene.dependencies[0].id);return n&&!this._vtk_renwin.getRenderer()&&this._vtk_renwin.getRenderWindow().addRenderer(n),this._vtk_renwin.getRenderWindow().synchronize(e).then(t)}}n.VTKSynchronizedPlotView=h,h.__name__=\"VTKSynchronizedPlotView\";class d extends o.AbstractVTKPlot{constructor(e){super(e),(0,_.initialize_fullscreen_render)(),this.outline=a.vtkns.OutlineFilter.newInstance();const t=a.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=a.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}getActors(e){let t=this.renderer_el.getRenderer().getActors();if(e){const n=this.renderer_el.getSynchronizerContext(c);t=t.filter((t=>{const s=n.getInstanceId(t);return!!s&&s.slice(-16)==e.slice(1,17)}))}return t}static init_VTKSynchronizedPlot(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Boolean:n,String:s})=>({arrays:[e,{}],arrays_processed:[t(s),[]],enable_keybindings:[n,!1],one_time_reset:[n],rebuild:[n,!1],scene:[e,{}]}))),this.override({height:300,width:300})}}n.VTKSynchronizedPlot=d,d.__name__=\"VTKSynchronizedPlot\",d.__module__=\"panel.models.vtk\",d.init_VTKSynchronizedPlot()},\n      \"877619fe71\": function _(e,n,o,t,r){t();const 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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.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(\".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(\".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 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}\\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(\"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.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(\"\\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 = 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${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: 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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 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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 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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<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return t}}n.Direction=O,O.__name__=\"Direction\",n.Anchor=k(o.Anchor),n.AngleUnits=k(o.AngleUnits),n.BoxOrigin=k(o.BoxOrigin),n.ButtonType=k(o.ButtonType),n.CalendarPosition=k(o.CalendarPosition),n.Dimension=k(o.Dimension),n.Dimensions=k(o.Dimensions),n.Distribution=k(o.Distribution),n.FontStyle=k(o.FontStyle),n.HatchPatternType=k(o.HatchPatternType),n.HTTPMethod=k(o.HTTPMethod),n.HexTileOrientation=k(o.HexTileOrientation),n.HoverMode=k(o.HoverMode),n.LatLon=k(o.LatLon),n.LegendClickPolicy=k(o.LegendClickPolicy),n.LegendLocation=k(o.LegendLocation),n.LineCap=k(o.LineCap),n.LineJoin=k(o.LineJoin),n.LinePolicy=k(o.LinePolicy),n.Location=k(o.Location),n.Logo=k(o.Logo),n.MarkerType=k(o.MarkerType),n.MutedPolicy=k(o.MutedPolicy),n.Orientation=k(o.Orientation),n.OutputBackend=k(o.OutputBackend),n.PaddingUnits=k(o.PaddingUnits),n.Place=k(o.Place),n.PointPolicy=k(o.PointPolicy),n.RadiusDimension=k(o.RadiusDimension),n.RenderLevel=k(o.RenderLevel),n.RenderMode=k(o.RenderMode),n.ResetPolicy=k(o.ResetPolicy),n.RoundingFunction=k(o.RoundingFunction),n.Side=k(o.Side),n.SizingMode=k(o.SizingMode),n.Sort=k(o.Sort),n.SpatialUnits=k(o.SpatialUnits),n.StartEnd=k(o.StartEnd),n.StepMode=k(o.StepMode),n.TapBehavior=k(o.TapBehavior),n.TextAlign=k(o.TextAlign),n.TextBaseline=k(o.TextBaseline),n.TextureRepetition=k(o.TextureRepetition),n.TickLabelOrientation=k(o.TickLabelOrientation),n.TooltipAttachment=k(o.TooltipAttachment),n.UpdateMode=k(o.UpdateMode),n.VerticalAlign=k(o.VerticalAlign);class E extends f{get_value(){const{value:e,expr:t,transform:n}=this.spec;return null!=t||null!=n?this.spec:e}_update(e){g(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}materialize(e){return e}scalar(e,t){return new y.UniformScalar(e,t)}uniform(e){var t;const{expr:n,value:r,transform:a}=this.spec,i=null!==(t=e.get_length())&&void 0!==t?t:1;if(null!=n){let t=n.compute(e);return null!=a&&(t=a.compute(t)),t=this.materialize(t),this.scalar(t,i)}{let e=r;return null!=a&&(e=a.compute(e)),e=this.materialize(e),this.scalar(e,i)}}}n.ScalarSpec=E,E.__name__=\"ScalarSpec\";class V extends E{}n.AnyScalar=V,V.__name__=\"AnyScalar\";class $ extends E{}n.ColorScalar=$,$.__name__=\"ColorScalar\";class I extends E{}n.NumberScalar=I,I.__name__=\"NumberScalar\";class J extends E{}n.StringScalar=J,J.__name__=\"StringScalar\";class X extends E{}n.NullStringScalar=X,X.__name__=\"NullStringScalar\";class Y extends E{}n.ArrayScalar=Y,Y.__name__=\"ArrayScalar\";class H 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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 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m(t,{},e)},n.sized=m;class y{constructor(t){this.root=t,this.known=new Set,this.style=(0,n.style)({type:\"text/css\"}),c(t,this.style)}append(t){this.known.has(t)||(this.style.appendChild(document.createTextNode(t)),this.known.add(t))}}n.StyleSheet=y,y.__name__=\"StyleSheet\",n.stylesheet=new y(document.head),n.dom_ready=async function(){if(\"loading\"==document.readyState)return new Promise(((t,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 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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 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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<t;r++){const t=this.hatch_color.get(r),i=this.hatch_alpha.get(r),h=this.hatch_scale.get(r);e(this.hatch_pattern.get(r),t,i,h,this.hatch_weight.get(r),(t=>{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<e.length;n++)t[n]=r(e[n]);return t}invert(e){return this.s_invert(e)}v_invert(e){const t=new Float64Array(e.length),{s_invert:r}=this;for(let n=0;n<e.length;n++)t[n]=r(e[n]);return t}r_compute(e,t){const{s_compute:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}r_invert(e,t){const{s_invert:r}=this;return this.target_range.is_reversed?[r(t),r(e)]:[r(e),r(t)]}}r.Scale=u,_=u,u.__name__=\"Scale\",_.internal((({Ref:e})=>({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 e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=d.empty();for(const[i,n]of t)i.visible&&(a=d.union(a,n));return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,l;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,h.logger.warn(`could not determine minimum data value for log axis, DataRange1d using value ${t}`)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,h.logger.warn(`could not determine maximum data value for log axis, DataRange1d using value ${i}`)),i==t)l=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),l=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),l=a-e),s=(e+a)/2}e=10**(s-l/2),a=10**(s+l/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const l=this.follow_interval;return null!=l&&Math.abs(e-a)>l&&(\"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 t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.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.x1<this.x0||t.x0>this.x1||t.y1<this.y0||t.y0>this.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;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new s.ScreenArray(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=o,o.__name__=\"BBox\"},\n      function _(n,e,t,r,u){r();const l=n(9);t.compute_renderers=function(n,e,t){if(null==n)return[];let r=\"auto\"==n?e:n;return t.length>0&&(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;s<t.length;s++){const r=t[s];if(i.has(r))throw new Error(`duplicate factor or subfactor: ${r}`);i.set(r,{value:.5+s*(1+n)+e})}return[i,(t.length-1)*n]}function d(t,n,e,i=0){var s;const r=new Map,a=new Map;for(const[n,e]of t){const t=null!==(s=a.get(n))&&void 0!==s?s:[];a.set(n,[...t,e])}let o=i,g=0;for(const[t,i]of a){const s=i.length,[a,p]=h(i,e,o);g+=p;const l=(0,c.sum)(i.map((t=>a.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<n;i++)e[i]=this.synthetic(t[i]);return e}_init(t){const{levels:n,mapping:e,tops:i,mids:s,inside_padding:r}=(()=>{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<n;t++)_[t]=Math.PI/2+(0,v.atan2)([e[t],s[t]],[a[t],i[t]])}paint(t){const{start:e,end:s}=this,{_sx_start:a,_sy_start:i,_sx_end:n,_sy_end:_,_angles:r}=this,{x:o,y:l,width:d,height:h}=this.plot_view.frame.bbox;for(let c=0,u=a.length;c<u;c++)null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.render(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.render(t,c),t.restore()),this.visuals.line.doit&&(t.save(),null==e&&null==s||(t.beginPath(),t.rect(o,l,d,h),null!=s&&(t.save(),t.translate(n[c],_[c]),t.rotate(r[c]),s.clip(t,c),t.restore()),null!=e&&(t.save(),t.translate(a[c],i[c]),t.rotate(r[c]+Math.PI),e.clip(t,c),t.restore()),t.closePath(),t.clip()),this.visuals.line.set_vectorize(t,c),t.beginPath(),t.moveTo(a[c],i[c]),t.lineTo(n[c],_[c]),t.stroke(),t.restore())}}s.ArrowView=p,p.__name__=\"ArrowView\";class x extends r.DataAnnotation{constructor(t){super(t)}}s.Arrow=x,_=x,x.__name__=\"Arrow\",_.prototype.default_view=p,_.mixins(l.LineVector),_.define((({Ref:t,Nullable:e})=>({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 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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;++f<a.length;)if((t=a[f]).toLowerCase().replace(o,\"\")===n)return e[t]}},\n      function _(e,a,t,o,n){o();const r=e(1);const l=(0,r.__importDefault)(e(90)),d=e(91);function i(e){return.017453292519943295*e}t.default=function(e){var a=(0,l.default)(e),t=a.shift(),o=a.shift();a.unshift([\"name\",o]),a.unshift([\"type\",t]);var n={};return(0,d.sExpr)(a,n),function(e){if(\"GEOGCS\"===e.type?e.projName=\"longlat\":\"LOCAL_CS\"===e.type?(e.projName=\"identity\",e.local=!0):\"object\"==typeof e.PROJECTION?e.projName=Object.keys(e.PROJECTION)[0]:e.projName=e.PROJECTION,e.AXIS){for(var a=\"\",t=0,o=e.AXIS.length;t<o;++t){var n=[e.AXIS[t][0].toLowerCase(),e.AXIS[t][1].toLowerCase()];-1!==n[0].indexOf(\"north\")||(\"y\"===n[0]||\"lat\"===n[0])&&\"north\"===n[1]?a+=\"n\":-1!==n[0].indexOf(\"south\")||(\"y\"===n[0]||\"lat\"===n[0])&&\"south\"===n[1]?a+=\"s\":-1!==n[0].indexOf(\"east\")||(\"x\"===n[0]||\"lon\"===n[0])&&\"east\"===n[1]?a+=\"e\":-1===n[0].indexOf(\"west\")&&(\"x\"!==n[0]&&\"lon\"!==n[0]||\"west\"!==n[1])||(a+=\"w\")}2===a.length&&(a+=\"u\"),3===a.length&&(e.axis=a)}e.UNIT&&(e.units=e.UNIT.name.toLowerCase(),\"metre\"===e.units&&(e.units=\"meter\"),e.UNIT.convert&&(\"GEOGCS\"===e.type?e.DATUM&&e.DATUM.SPHEROID&&(e.to_meter=e.UNIT.convert*e.DATUM.SPHEROID.a):e.to_meter=e.UNIT.convert));var r=e.GEOGCS;function l(a){return a*(e.to_meter||1)}\"GEOGCS\"===e.type&&(r=e),r&&(r.DATUM?e.datumCode=r.DATUM.name.toLowerCase():e.datumCode=r.name.toLowerCase(),\"d_\"===e.datumCode.slice(0,2)&&(e.datumCode=e.datumCode.slice(2)),\"new_zealand_geodetic_datum_1949\"!==e.datumCode&&\"new_zealand_1949\"!==e.datumCode||(e.datumCode=\"nzgd49\"),\"wgs_1984\"!==e.datumCode&&\"world_geodetic_system_1984\"!==e.datumCode||(\"Mercator_Auxiliary_Sphere\"===e.PROJECTION&&(e.sphere=!0),e.datumCode=\"wgs84\"),\"_ferro\"===e.datumCode.slice(-6)&&(e.datumCode=e.datumCode.slice(0,-6)),\"_jakarta\"===e.datumCode.slice(-8)&&(e.datumCode=e.datumCode.slice(0,-8)),~e.datumCode.indexOf(\"belge\")&&(e.datumCode=\"rnb72\"),r.DATUM&&r.DATUM.SPHEROID&&(e.ellps=r.DATUM.SPHEROID.name.replace(\"_19\",\"\").replace(/[Cc]larke\\_18/,\"clrk\"),\"international\"===e.ellps.toLowerCase().slice(0,13)&&(e.ellps=\"intl\"),e.a=r.DATUM.SPHEROID.a,e.rf=parseFloat(r.DATUM.SPHEROID.rf,10)),r.DATUM&&r.DATUM.TOWGS84&&(e.datum_params=r.DATUM.TOWGS84),~e.datumCode.indexOf(\"osgb_1936\")&&(e.datumCode=\"osgb36\"),~e.datumCode.indexOf(\"osni_1952\")&&(e.datumCode=\"osni52\"),(~e.datumCode.indexOf(\"tm65\")||~e.datumCode.indexOf(\"geodetic_datum_of_1965\"))&&(e.datumCode=\"ire65\"),\"ch1903+\"===e.datumCode&&(e.datumCode=\"ch1903\"),~e.datumCode.indexOf(\"israel\")&&(e.datumCode=\"isr93\")),e.b&&!isFinite(e.b)&&(e.b=e.a),[[\"standard_parallel_1\",\"Standard_Parallel_1\"],[\"standard_parallel_1\",\"Latitude 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Stereographic (variant B)\"!==e.projName||(e.lat0=i(e.lat1>0?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 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a[r]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&E(e[3],a[r]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void n(a,r,e);default:for(s=-1;++s<e.length;)if(!Array.isArray(e[s]))return E(e,a[r]);return n(a,r,e)}}else a[r]=e;else a[r]=!0}else a[e]=!0}s(),r.sExpr=E},\n      function _(n,r,f,i,t){i(),f.default=function(n,r){var f,i;if(n=n||{},!r)return n;for(i in r)void 0!==(f=r[i])&&(n[i]=f);return n}},\n      function _(t,o,a,e,n){e();const r=t(1),f=(0,r.__importDefault)(t(94)),u=(0,r.__importDefault)(t(100));var i=[f.default,u.default],c={},d=[];function s(t,o){var a=d.length;return t.names?(d[a]=t,t.names.forEach((function(t){c[t.toLowerCase()]=a})),this):(console.log(o),!0)}function l(t){if(!t)return!1;var o=t.toLowerCase();return void 0!==c[o]&&d[c[o]]?d[c[o]]:void 0}function v(){i.forEach(s)}a.add=s,a.get=l,a.start=v,a.default={start:v,add:s,get:l}},\n      function _(t,i,s,h,a){h();const e=t(1),r=(0,e.__importDefault)(t(95)),n=(0,e.__importDefault)(t(96)),l=(0,e.__importDefault)(t(98)),u=(0,e.__importDefault)(t(99)),o=t(85);function f(){var t=this.b/this.a;this.es=1-t*t,\"x0\"in this||(this.x0=0),\"y0\"in this||(this.y0=0),this.e=Math.sqrt(this.es),this.lat_ts?this.sphere?this.k0=Math.cos(this.lat_ts):this.k0=(0,r.default)(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)):this.k0||(this.k?this.k0=this.k:this.k0=1)}function _(t){var i,s,h=t.x,a=t.y;if(a*o.R2D>90&&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 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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)<i.EPSLN)&&(n=!0,r=t),{a:t,b:r,rf:e,sphere:n}}},\n      function _(e,a,l,s,r){s();var i={};l.default=i,i.MERIT={a:6378137,rf:298.257,ellipseName:\"MERIT 1983\"},i.SGS85={a:6378136,rf:298.257,ellipseName:\"Soviet Geodetic System 85\"},i.GRS80={a:6378137,rf:298.257222101,ellipseName:\"GRS 1980(IUGG, 1980)\"},i.IAU76={a:6378140,rf:298.257,ellipseName:\"IAU 1976\"},i.airy={a:6377563.396,b:6356256.91,ellipseName:\"Airy 1830\"},i.APL4={a:6378137,rf:298.25,ellipseName:\"Appl. 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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<o;e++)t.fillText(h[e],i,z),i+=_[e]+l;z+=x.height+a}else for(let e=0;e<_;e++){const s=v+(()=>{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<s&&(n=s,t.width=s),r<u&&(r=u,t.height=u),e.save(),e.scale(a,a),e.fillStyle=\"#f00\",e.fillRect(0,0,s,u);const f=t=>{let e=0;for(let n=0;n<=i;n++)for(let r=0;r<s;r++,e+=4)if(255!=t[e])return i-n;return 0};e.font=l,e.fillStyle=\"#000\";for(const t of\"xa\")e.fillText(t,0,i/a);const{data:h}=e.getImageData(0,0,s,u),g=f(h)/a;for(const t of\"ASQ\")e.fillText(t,0,i/a);const{data:d}=e.getImageData(0,0,s,u),x=f(d)/a;for(const t of\"\\xc5\\u015agy\")e.fillText(t,0,i/a);const{data:m}=e.getImageData(0,0,s,u),B=f(m)/a,w=(t=>{let e=t.length-4;for(let n=u;n>=i;n--)for(let r=0;r<s;r++,e-=4)if(255!=t[e])return n-i;return 0})(m)/a;return e.restore(),{height:B+w,ascent:B,cap_height:x,x_height:g,descent:w}}})(),i=(()=>{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<u||r<i)&&(n=u,t.width=u,r=i,t.height=i),e.save(),e.scale(c,c),e.fillStyle=\"#f00\",e.fillRect(0,0,u,i);e.font=a,e.fillStyle=\"#000\",e.fillText(l,0,f/c);const h=e.measureText(l),{data:g}=e.getImageData(0,0,u,i),d=(t=>{let e=0;for(let n=0;n<=f;n++)for(let r=0;r<u;r++,e+=4)if(255!=t[e])return f-n;return 0})(g)/c,x=(t=>{let e=t.length-4;for(let n=i;n>=f;n--)for(let r=0;r<u;r++,e-=4)if(255!=t[e])return n-f;return 0})(g)/c;return e.restore(),{width:h.width,height:d+x,ascent:d,descent:x}}})(),f=(()=>{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<c;o++){const c=t[o],p=s[o];t[o]=r*c+i*p+a,s[o]=n*c+e*p+h}}transform(t,s,r,n,i,e){const{a,b:h,c,d:o,e:p,f}=this;return this.a=a*t+c*s,this.c=a*r+c*n,this.e=a*i+c*e+p,this.b=h*t+o*s,this.d=h*r+o*n,this.f=h*i+o*e+f,this}translate(t,s){return this.transform(1,0,0,1,t,s)}scale(t,s){return this.transform(t,0,0,s,0,0)}skew(t,s){return this.transform(1,s,t,1,0,0)}rotate(t){const s=e(t),r=a(t);return this.transform(r,s,-s,r,0,0)}rotate_ccw(t){return this.rotate(-t)}translate_x(t){return this.translate(t,0)}translate_y(t){return this.translate(0,t)}flip(){return this.scale(-1,-1)}flip_x(){return this.scale(1,-1)}flip_y(){return this.scale(-1,1)}}r.AffineTransform=h,h.__name__=\"AffineTransform\"},\n      function _(t,e,i,l,r){l();const a=t(124),o=t(125),n=t(8),h=Math.PI/2,s={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},c={above:{parallel:\"bottom\",normal:\"center\",horizontal:\"bottom\",vertical:\"center\"},below:{parallel:\"top\",normal:\"center\",horizontal:\"top\",vertical:\"center\"},left:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"},right:{parallel:\"bottom\",normal:\"center\",horizontal:\"center\",vertical:\"bottom\"}},g={above:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},below:{parallel:\"center\",normal:\"left\",horizontal:\"center\",vertical:\"left\"},left:{parallel:\"center\",normal:\"right\",horizontal:\"right\",vertical:\"center\"},right:{parallel:\"center\",normal:\"left\",horizontal:\"left\",vertical:\"center\"}},_={above:\"right\",below:\"left\",left:\"right\",right:\"left\"},b={above:\"left\",below:\"right\",left:\"right\",right:\"left\"};class z{constructor(t){this.side=t}get dimension(){return\"above\"==this.side||\"below\"==this.side?0:1}get normals(){switch(this.side){case\"above\":return[0,-1];case\"below\":return[0,1];case\"left\":return[-1,0];case\"right\":return[1,0]}}get orientation(){return this.is_horizontal?\"horizontal\":\"vertical\"}get is_horizontal(){return 0==this.dimension}get is_vertical(){return 1==this.dimension}get_label_text_heuristics(t){const{side:e}=this;return(0,n.isString)(t)?{vertical_align:c[e][t],align:g[e][t]}:{vertical_align:\"center\",align:(t<0?_:b)[e]}}get_label_angle_heuristic(t){return(0,n.isString)(t)?s[this.side][t]:-t}}i.Panel=z,z.__name__=\"Panel\";class m extends o.ContentLayoutable{constructor(t,e,i=!1){super(),this.panel=t,this.get_size=e,this.rotate=i,this.panel.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){const{width:t,height:e}=this.get_size();return!this.rotate||this.panel.is_horizontal?new a.Sizeable({width:t,height:e}):new a.Sizeable({width:e,height:t})}has_size_changed(){const{width:t,height:e}=this._content_size();return this.panel.is_horizontal?this.bbox.height!=e:this.bbox.width!=t}}i.SideLayout=m,m.__name__=\"SideLayout\"},\n      function _(h,t,i,e,w){e();const n=h(21),{min:d,max:s}=Math;class g{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new g({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new g({width:h!=1/0?s(this.width,h):this.width,height:t!=1/0?s(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=s(this.width,h),this.height=s(this.height,t)}narrowed_to({width:h,height:t}){return new g({width:d(this.width,h),height:d(this.height,t)})}narrow_to({width:h,height:t}){this.width=d(this.width,h),this.height=d(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,n=this.height+i+e;return new g({width:w,height:n})}shrink_by({left:h,right:t,top:i,bottom:e}){const w=s(this.width-h-t,0),n=s(this.height-i-e,0);return new g({width:w,height:n})}map(h,t){return new g({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=g,g.__name__=\"Sizeable\",i.SizingPolicy=(0,n.Enum)(\"fixed\",\"fit\",\"min\",\"max\")},\n      function _(i,t,h,e,n){e();const s=i(124),r=i(65),g=i(8),{min:l,max:a,round:_}=Math;class o{constructor(){this.absolute=!1,this._bbox=new r.BBox,this._inner_bbox=new r.BBox,this._dirty=!1,this._handlers=[]}*[Symbol.iterator](){}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set visible(i){this._sizing.visible=i,this._dirty=!0}set_sizing(i){var t,h,e,n,s;const r=null!==(t=i.width_policy)&&void 0!==t?t:\"fit\",g=i.width,l=i.min_width,a=i.max_width,_=null!==(h=i.height_policy)&&void 0!==h?h:\"fit\",o=i.height,d=i.min_height,u=i.max_height,c=i.aspect,w=null!==(e=i.margin)&&void 0!==e?e:{top:0,right:0,bottom:0,left:0},m=!1!==i.visible,x=null!==(n=i.halign)&&void 0!==n?n:\"start\",b=null!==(s=i.valign)&&void 0!==s?s:\"start\";this._sizing={width_policy:r,min_width:l,width:g,max_width:a,height_policy:_,min_height:d,height:o,max_height:u,aspect:c,margin:w,visible:m,halign:x,valign:b,size:{width:g,height:o}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){const{fixup_geometry:h}=this;null!=h&&([i,t]=h(i,t)),this._set_geometry(i,null!=t?t:i);for(const i of this._handlers)i(this._bbox,this._inner_bbox)}on_resize(i){this._handlers.push(i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:n,height_policy:s}=this.sizing,r=(i,t)=>{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;e<a.length;e++){const i=Math.round(a[e]+l*_),s=Math.round(o[e]+n*r);t.lineTo(i,s)}t.stroke()}_draw_major_ticks(t,e,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,o=this.visuals.major_tick_line;this._draw_ticks(t,i.major,s,a,o)}_draw_minor_ticks(t,e,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,o=this.visuals.minor_tick_line;this._draw_ticks(t,i.minor,s,a,o)}_draw_major_labels(t,e,i){const s=i.major,a=this.compute_labels(s[this.dimension]),o=this.model.major_label_orientation,l=e.tick+this.model.major_label_standoff,n=this.visuals.major_label_text;this._draw_oriented_labels(t,a,s,o,this.panel.side,l,n)}_axis_label_extent(){if(null==this._axis_label_view)return 0;const t=this._axis_label_view.graphics();t.visuals=this.visuals.axis_label_text.values(),t.angle=this.panel.get_label_angle_heuristic(\"parallel\"),(0,f.isNumber)(this.plot_view.base_font_size)&&(t.base_font_size=this.plot_view.base_font_size);const e=t.size(),i=0==this.dimension?e.height:e.width,s=this.model.axis_label_standoff;return i>0?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;e<n.length;e++){const i=Math.round(n[e]+d),s=Math.round(_[e]+x),a=Math.round(n[e]+u),o=Math.round(_[e]+m);t.moveTo(i,s),t.lineTo(a,o)}t.stroke()}_draw_oriented_labels(t,e,i,s,a,o,l){if(!l.doit||0==e.length)return;const[n,_]=i,[r,h]=this.coordinates.map_to_screen(n,_),[c,b]=this.offsets,[m,d]=this.normals,x=m*(c+o),f=d*(b+o),{vertical_align:p,align:v}=this.panel.get_label_text_heuristics(s),w=this.panel.get_label_angle_heuristic(s);e.visuals=l.values(),e.angle=w,e.base_font_size=this.plot_view.base_font_size;for(let t=0;t<e.length;t++){const i=e.items[t];i.position={sx:r[t]+x,sy:h[t]+f,x_anchor:v,y_anchor:p},i instanceof g.TextBox&&(i.align=v)}const j=e.length,k=u.Indices.all_set(j),{items:y}=e,z=y.map((t=>t.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;a<t.length;a++){const o=i.get(t[a].toString());null!=o&&(s.add(o),e[a]=o.graphics())}for(const t of this._major_label_views.values())s.has(t)||(t._has_finished=!0);return new g.GraphicsBoxes(e)}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:t}=this.plot_view;let[e,i]=[0,0];switch(this.panel.side){case\"below\":i=z(this.layout.bbox.top-t.bbox.bottom);break;case\"above\":i=z(this.layout.bbox.bottom-t.bbox.top);break;case\"right\":e=z(this.layout.bbox.left-t.bbox.right);break;case\"left\":e=z(this.layout.bbox.right-t.bbox.left)}return[e,i]}get ranges(){const t=this.dimension,e=(t+1)%2,{ranges:i}=this.coordinates;return[i[t],i[e]]}get computed_bounds(){const[t]=this.ranges,e=this.model.bounds,i=[t.min,t.max];if(\"auto\"==e)return[t.min,t.max];{let t,s;const[a,o]=e,[l,n]=i,{min:_,max:r}=Math;return z(a-o)>z(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;i<l.length;i++)l[i]<h||l[i]>c||(_[t].push(l[i]),_[e].push(this.loc));for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(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)<t?e.unset(n):i=n;return e}}s.NoOverlap=m,c=m,m.__name__=\"NoOverlap\",c.define((({Number:e})=>({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} 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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;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const p=(e.synthetic(s)+e.synthetic(o))/2;p>i&&p<r&&(_[a].push(p),_[l].push(this.loc))}const p=this.extents.tick_label;this._draw_ticks(t,_,-3,p-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_labels[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e),r=this.tick_coords,a=[],l=t=>new 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&&t<s&&e.push(r)}return e}}o.CategoricalTicker=i,i.__name__=\"CategoricalTicker\"},\n      function _(t,r,o,c,a){c();const e=t(131),n=t(9);class i extends e.TickFormatter{constructor(t){super(t)}doFormat(t,r){return(0,n.copy)(t)}}o.CategoricalTickFormatter=i,i.__name__=\"CategoricalTickFormatter\"},\n      function _(s,n,i,o,u){o();const e=s(128);class t extends e.AxisView{}i.ContinuousAxisView=t,t.__name__=\"ContinuousAxisView\";class _ extends e.Axis{constructor(s){super(s)}}i.ContinuousAxis=_,_.__name__=\"ContinuousAxis\"},\n      function _(e,t,i,a,r){var s;a();const n=e(145),m=e(150),_=e(155);class c extends n.LinearAxisView{}i.DatetimeAxisView=c,c.__name__=\"DatetimeAxisView\";class o extends n.LinearAxis{constructor(e){super(e)}}i.DatetimeAxis=o,s=o,o.__name__=\"DatetimeAxis\",s.prototype.default_view=c,s.override({ticker:()=>new _.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<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=o;break}e[0]=(0,c.to_fixed)(i[0],o);for(let t=1;t<i.length;t++)if(e[t]=(0,c.to_fixed)(i[t],o),e[t]==e[t-1])continue i;this.last_precision=o;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),n=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,n)}}e.BasicTickFormatter=a,r=a,a.__name__=\"BasicTickFormatter\",r.define((({Boolean:i,Int:t,Auto:e,Or:n})=>({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 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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 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c.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:T.ONE_HOUR,max_interval:12*T.ONE_HOUR,num_minor_ticks:0}),new _.DaysTicker({days:(0,t.range)(1,32)}),new _.DaysTicker({days:(0,t.range)(1,31,3)}),new _.DaysTicker({days:[1,8,15,22]}),new _.DaysTicker({days:[1,15]}),new k.MonthsTicker({months:(0,t.range)(0,12,1)}),new k.MonthsTicker({months:(0,t.range)(0,12,2)}),new k.MonthsTicker({months:(0,t.range)(0,12,4)}),new k.MonthsTicker({months:(0,t.range)(0,12,6)}),new o.YearsTicker({})]})},\n      function _(t,e,i,r,s){var n;r();const _=t(149),a=t(9);class l extends _.ContinuousTicker{constructor(t){super(t)}get min_intervals(){return this.tickers.map((t=>t.get_min_interval()))}get max_intervals(){return this.tickers.map((t=>t.get_max_interval()))}get_min_interval(){return this.min_intervals[0]}get_max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const 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N(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)<this.min_exponent){const t=new l.TextBox({text:(0,s.unicode_replace)(`${r**e}`)}),n=new l.TextBox({text:\"\"});return new l.BaseExpo(t,n)}{const t=new l.TextBox({text:(0,s.unicode_replace)(`${r}`)}),n=new l.TextBox({text:(0,s.unicode_replace)(`${e}`)});return new l.BaseExpo(t,n)}}))}_exponents(e,t){let n=null;const o=[];for(const r of e){const e=_(x(r)/x(t));if(n==e)return null;n=e,o.push(e)}return o}doFormat(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.doFormat(e,t):i.map((e=>u(e)<this.min_exponent?(0,s.unicode_replace)(`${r**e}`):(0,s.unicode_replace)(`${r}^${e}`)))}}n.LogTickFormatter=p,i=p,p.__name__=\"LogTickFormatter\",i.define((({Int:e,Ref:t,Nullable:n})=>({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<e;n++){const[e]=a.wgs84_mercator.invert(r[n],t.loc);o[n]=e}else for(let n=0;n<e;n++){const[,e]=a.wgs84_mercator.invert(t.loc,r[n]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=l,i=l,l.__name__=\"MercatorTickFormatter\",i.define((({Nullable:r})=>({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<s.length;e+=l)_.push(s[e]);return{major:_,minor:[]}}}t.BinnedTicker=m,o=m,m.__name__=\"BinnedTicker\",o.define((({Number:e,Ref:n,Or:t,Auto:r})=>({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(n<o.binning[0])return i;if(n>o.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<i;n++){const i=t[n];isNaN(i)?e[n]=s:e[n]=this.cmap(i,o,l,c,this._scan_data)}}_colors(t){return Object.assign(Object.assign({},super._colors(t)),{low_color:null!=this.low_color?t(this.low_color):void 0,high_color:null!=this.high_color?t(this.high_color):void 0})}}o.ContinuousColorMapper=r,l=r,r.__name__=\"ContinuousColorMapper\",l.define((({Number:t,String:e,Ref:o,Color:n,Or:s,Tuple:l,Array:c,Nullable:a})=>({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;t<n;t++)r[t]=p(e[t]);return r}t._convert_color=p,t._convert_palette=u;class h extends c.Mapper{constructor(e){super(e)}initialize(){super.initialize(),this.metrics_change=new i.Signal0(this,\"metrics_change\")}v_compute(e){const r=new Array(e.length);return this._v_compute(e,r,this.palette,this._colors((e=>e))),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<l;e+=s)this.decimated.set(e);this.plot_view.invalidate_dataranges=!0}set_visuals(){var e;const t=this.model.data_source,{all_indices:i}=this;this.glyph.set_visuals(t,i),this.decimated_glyph.set_visuals(t,i),this.selection_glyph.set_visuals(t,i),this.nonselection_glyph.set_visuals(t,i),null===(e=this.hover_glyph)||void 0===e||e.set_visuals(t,i),this.muted_glyph.set_visuals(t,i)}get has_webgl(){return this.glyph.has_webgl}_render(){const e=this.has_webgl;this.glyph.map_data();const t=[...this.all_indices];let i=[...this._update_masked_indices()];const{ctx:s}=this.layer;s.save();const{selected:l}=this.model.data_source;let h;h=!l||l.is_empty()?[]:this.glyph instanceof o.LineView&&l.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(i):l.indices;const{inspected:n}=this.model.data_source,r=new Set((()=>!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<l;e++){const l={x:this.sx[e],y:this.sy[e]},_={x:this.sx[e+1],y:this.sy[e+1]},r=h.dist_to_segment(i,l,_);r<n&&r<s&&(s=r,t.add_to_selected_glyphs(this.model),t.view=this,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new c.Selection;let n,l;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),l=this._y):(n=this.renderer.xscale.invert(t),l=this._x);for(let e=0,t=l.length-1;e<t;e++)(l[e]<=n&&n<=l[e+1]||l[e+1]<=n&&n<=l[e])&&(s.add_to_selected_glyphs(this.model),s.view=this,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return(0,o.line_interpolation)(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){(0,o.generic_line_scalar_legend)(this.visuals,e,t)}}i.LineView=d,d.__name__=\"LineView\";class p extends r.XYGlyph{constructor(e){super(e)}}i.Line=p,_=p,p.__name__=\"Line\",_.prototype.default_view=d,_.mixins(a.LineScalar)},\n      function _(e,t,_,s,i){s();const n=e(1);var a;const o=e(78),c=(0,n.__importStar)(e(18)),p=e(179);class r extends p.GlyphView{_project_data(){o.inplace.project_xy(this._x,this._y)}_index_data(e){const{_x:t,_y:_,data_size:s}=this;for(let i=0;i<s;i++){const s=t[i],n=_[i];e.add_point(s,n)}}scenterxy(e){return[this.sx[e],this.sy[e]]}}_.XYGlyphView=r,r.__name__=\"XYGlyphView\";class d extends p.Glyph{constructor(e){super(e)}}_.XYGlyph=d,a=d,d.__name__=\"XYGlyph\",a.define((({})=>({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;e<r;e++){const i=t[e],n=s.get(e)/2,r=o(i-n),_=o(i+n);a[e]=b(_-r)}else for(let e=0;e<r;e++){const i=t[e],n=o(i),r=o(i+s.get(e));a[e]=b(r-n)}return n&&(0,p.inplace_map)(a,(e=>m(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<o.length;e++)o[e]=_.v_synthetic(o[e]);let l;l=s instanceof a.CoordinateSeqSpec?f.RaggedArray.from(o,Float64Array):o,this._configure(`_${s.attr}`,{value:l})}else{const i=s.uniform(e).select(t);if(this._configure(s,{value:i}),s instanceof a.DistanceSpec){const e=i.is_Scalar()?i.value:(0,p.max)(i.array);this._configure(`max_${s.attr}`,{value:e})}}this.renderer.plot_view.model.use_map&&this._project_data(),this._set_data(null!=s?s:null),null===(i=this.glglyph)||void 0===i||i.set_data_changed(),this.index_data()}_set_data(e){}get _index_size(){return this.data_size}index_data(){const e=new y.SpatialIndex(this._index_size);this._index_data(e),e.finish(),this._index=e}mask_data(){return null==this._mask_data?d.Indices.all_set(this.data_size):this._mask_data()}map_data(){var e;const t=this,{x_scale:s,y_scale:i}=this.renderer.coordinates;for(const e of this.model)if(e instanceof a.BaseCoordinateSpec){const n=\"x\"==e.dimension?s:i;let r=t[`_${e.attr}`];if(r instanceof f.RaggedArray){const e=n.v_compute(r.array);r=new f.RaggedArray(r.offsets,e)}else r=n.v_compute(r);this[`s${e.attr}`]=r}this._map_data(),null===(e=this.glglyph)||void 0===e||e.set_data_changed()}_map_data(){}}s.GlyphView=w,w.__name__=\"GlyphView\";class S extends 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this.array.subarray(s[t],s[t+1])}set(t,s){this._check_bounds(t),this.array.set(s,this.offsets[t])}}r.RaggedArray=i,i.__name__=\"RaggedArray\",i[n]=\"RaggedArray\"},\n      function _(i,t,n,e,s){e();const d=(0,i(1).__importDefault)(i(182)),o=i(24),x=i(65);function h(i,t){let n=0,e=t.length-1;for(;n<e;){const s=n+e>>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<o;h+=4){const o=0|this._indices[h>>2],r=this._boxes[h+0],l=this._boxes[h+1],a=this._boxes[h+2],_=this._boxes[h+3];n<r||(e<l||i>a||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&&s<t.x0&&(t.x0=s),o<=i.x1&&o>t.x1&&(t.x1=o),d>=i.y0&&d<t.y0&&(t.y0=d),x<=i.y1&&x>t.y1&&(t.y1=x)}return 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n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],_=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=m(_,x)}x(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>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;_<a;_+=4){const 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r},e.point_in_ellipse=function(t,n,e,i,r,s,o){return((Math.cos(e)/r)**2+(Math.sin(e)/i)**2)*(t-s)**2+2*Math.cos(e)*Math.sin(e)*((1/r)**2-(1/i)**2)*(t-s)*(n-o)+((Math.cos(e)/i)**2+(Math.sin(e)/r)**2)*(n-o)**2<=1},e.dist_2_pts=s,e.dist_to_segment_squared=o,e.dist_to_segment=function(t,n,e){return Math.sqrt(o(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,r,s,o,u){const c=(u-s)*(e-t)-(o-r)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-s,h=t-r;const l=(e-t)*_-(i-n)*h;_=((o-r)*_-(u-s)*h)/c,h=l/c;return{hit:_>0&&_<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<i;n++){const i=this._x1[n],h=this._x2[n],r=this._y[n];t.add_rect(s(i,h),r,e(i,h),r)}}_render(t,s,e){const{sx1:i,sx2:n,sy:h}=null!=e?e:this;t.beginPath();for(let s=0,e=i.length;s<e;s++)t.lineTo(i[s],h[s]);for(let s=n.length-1;s>=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<n;i++){const s=[this.sx1[i],this.sx1[i+1],this.sx2[i+1],this.sx2[i]],n=[this.sy[i],this.sy[i+1],this.sy[i+1],this.sy[i]];if(_.point_in_poly(t.sx,t.sy,s,n)){e.add_to_selected_glyphs(this.model),e.view=this,e.line_indices=[i];break}}return e}scenterxy(t){return[(this.sx1[t]+this.sx2[t])/2,this.sy[t]]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}e.HAreaView=c,c.__name__=\"HAreaView\";class x extends a.Area{constructor(t){super(t)}}e.HArea=x,r=x,x.__name__=\"HArea\",r.prototype.default_view=c,r.define((({})=>({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<i;n++){const i=this._x[n],h=this._y1[n],r=this._y2[n];t.add_rect(i,s(h,r),i,e(h,r))}}_render(t,s,e){const{sx:i,sy1:n,sy2:h}=null!=e?e:this;t.beginPath();for(let s=0,e=n.length;s<e;s++)t.lineTo(i[s],n[s]);for(let s=h.length-1;s>=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<n;i++){const s=[this.sx[i],this.sx[i+1],this.sx[i+1],this.sx[i]],n=[this.sy1[i],this.sy1[i+1],this.sy2[i+1],this.sy2[i]];if(_.point_in_poly(t.sx,t.sy,s,n)){e.add_to_selected_glyphs(this.model),e.view=this,e.line_indices=[i];break}}return e}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}e.VAreaView=c,c.__name__=\"VAreaView\";class y extends a.Area{constructor(t){super(t)}}e.VArea=y,r=y,y.__name__=\"VArea\",r.prototype.default_view=c,r.define((({})=>({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;e<this._indices.length;e++)this.indices_map[this._indices[e]]=e}convert_selection_from_subset(e){return e.map((e=>this._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;e<l;e++)if(n[e]!==t[e])return!1;return!0}e._cat_equals=f,e.cat_v_compute=function(n,t,e,l,i,o,r){const _=n.length;for(let g=0;g<_;g++){let _,s,h=n[g];(0,u.isString)(h)?_=(0,c.index_of)(t,h):(null!=i?h=null!=o?h.slice(i,o):h.slice(i):null!=o&&(h=h.slice(0,o)),_=1==h.length?(0,c.index_of)(t,h[0]):(0,c.find_index)(t,(n=>f(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(o<l.min)return n;const s=Math.log(o)-Math.log(l.min);let e=Math.floor(s*l.scale);return e>a&&(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;e<l;e++)0!=r[e]&&a++;const h=new Array(a+1),_=new Array(a+1);for(let e=0,n=1;e<l;e++)0!=r[e]&&(h[n]=r[e],_[n]=(i[e]+i[e+1])/2,n++);h[0]=0,_[0]=2*_[1]-_[a];const p=(0,c.cumsum)(h),u=p[1],m=p[a]-u;for(let e=1;e<=a;e++)p[e]=(p[e]-u)/m;p[0]=-1;let f=0;if(this.rescale_discrete_levels){const e=-.5/98,n=e*a+(1.5-2*e);n>1&&(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<s;e++)_[e]=n+e*o;const l=(0,c.map)(e,(e=>{if(e<a)return a;if(e>i)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<n;s++){const e=(()=>{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<l;t++){const i=(()=>{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<s;t++){const i=o[t];c[t]=\"fixed\"==i.policy?i.height:0}const p=new Array(e);for(let t=0;t<e;t++){const i=l[t];p[t]=\"fixed\"==i.policy?i.width:0}const _=new f;i.foreach(((i,s)=>{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;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:h-=r.row_heights[t]}if(h-=(i-1)*n,0!=p&&h>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(h*(i.flex/p));h-=s,r.row_heights[t]=s,p-=i.flex}}else if(h<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-h;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=r.row_heights[o],e=g(s/t);r.row_heights[o]=a(i-e,0),s-=e>i?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;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?f+=i.flex:c-=r.col_widths[t]}if(c-=(s-1)*l,0!=f&&c>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=g(c*(i.flex/f));c-=s,r.col_widths[t]=s,f-=i.flex}}else if(c<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-c;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=r.col_widths[e],o=g(i/t);r.col_widths[e]=a(s-o,0),i-=o>s?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<s;i++){const t=f[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=_[i];t.left=s,s+=t.width+n}d.foreach((({r0:t,c0:i,r1:s,c1:e},l)=>{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<i;s++){const i=this.x_offset.get(s),l=this.y_offset.get(s),o=this.sx[s]+i,a=this.sy[s]-l,r=this.angle.get(s);t(e,s,this.text.get(s),o,a,r)}}_v_canvas_text(t,e,s,i,l,o){const a=new c.TextBox({text:s});a.angle=o,a.position={sx:i,sy:l},a.visuals=this.visuals.text.values(e);const{background_fill:r,border_line:n}=this.visuals;if(r.doit||n.doit){const{p0:s,p1:i,p2:l,p3:o}=a.rect();t.beginPath(),t.moveTo(s.x,s.y),t.lineTo(i.x,i.y),t.lineTo(l.x,l.y),t.lineTo(o.x,o.y),t.closePath(),this.visuals.background_fill.apply(t,e),this.visuals.border_line.apply(t,e)}this.visuals.text.doit&&a.paint(t)}_v_css_text(t,e,s,i,l,o){(0,u.assert)(null!=this.els);const a=this.els[e];a.textContent=s,this.visuals.text.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=`${i}px`,a.style.top=`${l}px`,a.style.color=t.fillStyle,a.style.font=t.font,a.style.lineHeight=\"normal\",a.style.whiteSpace=\"pre\";const[r,n]=(()=>{switch(this.visuals.text.text_align.get(e)){case\"left\":return[\"left\",\"0%\"];case\"center\":return[\"center\",\"-50%\"];case\"right\":return[\"right\",\"-100%\"]}})(),[d,c]=(()=>{switch(this.visuals.text.text_baseline.get(e)){case\"top\":return[\"top\",\"0%\"];case\"middle\":return[\"center\",\"-50%\"];case\"bottom\":return[\"bottom\",\"-100%\"];default:return[\"center\",\"-50%\"]}})();let h=`translate(${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<e;t++)i.lineTo(r[t],_[t]);i.closePath(),this.visuals.fill.apply(i),this.visuals.hatch.apply(i),this.visuals.line.apply(i)}}e.PolyAnnotationView=_,_.__name__=\"PolyAnnotationView\";class h extends l.Annotation{constructor(t){super(t)}update({xs:t,ys:n}){this.setv({xs:t,ys:n,screen:!0},{check_eq:!1})}}e.PolyAnnotation=h,a=h,h.__name__=\"PolyAnnotation\",a.prototype.default_view=_,a.mixins([c.Line,c.Fill,c.Hatch]),a.define((({Number:t,Array:n})=>({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 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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<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(n&&r&&i){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||j(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return bt},failTimeout:function(){return this._timer=l((function(){this.state=bt}),this.options.interval,this),bt},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),Ft.VERSION=\"2.0.7\",Ft.defaults={domEvents:!1,touchAction:Tt,enable:!0,inputTarget:null,inputClass:null,preset:[[Nt,{enable:!1}],[Mt,{enable:!1},[\"rotate\"]],[Xt,{direction:6}],[Rt,{direction:6},[\"swipe\"]],[Yt],[Yt,{event:\"doubletap\",taps:2},[\"tap\"]],[zt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Wt(t,e){var i;this.options=s({},Ft.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((i=this).options.inputClass||(M?it:z?ct:R?pt:J))(i,k),this.touchAction=new St(this,this.options.touchAction),qt(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function qt(t,e){var i,n=t.element;n.style&&(f(t.options.cssProps,(function(r,s){i=x(n.style,s),e?(t.oldCssProps[i]=n.style[i],n.style[i]=r):n.style[i]=t.oldCssProps[i]||\"\"})),e||(t.oldCssProps={}))}Wt.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var i;this.touchAction.preventDefaults(t);var n=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<n.length;)i=n[s],2===e.stopped||r&&i!=r&&!i.canRecognizeWith(r)?i.reset():i.recognize(t),!r&&14&i.state&&(r=e.curRecognizer=i),s++}},get:function(t){if(t instanceof Pt)return t;for(var e=this.recognizers,i=0;i<e.length;i++)if(e[i].options.event==t)return e[i];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,i=b(e,t);-1!==i&&(e.splice(i,1),this.touchAction.update())}return this},on:function(t,e){if(t!==r&&e!==r){var i=this.handlers;return f(S(t),(function(t){i[t]=i[t]||[],i[t].push(e)})),this}},off:function(t,e){if(t!==r){var i=this.handlers;return f(S(t),(function(t){e?i[t]&&i[t].splice(b(i[t],e),1):delete i[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var n=i.createEvent(\"Event\");n.initEvent(t,!0,!0),n.gesture=e,e.target.dispatchEvent(n)}(t,e);var n=this.handlers[t]&&this.handlers[t].slice();if(n&&n.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<n.length;)n[r](e),r++}},destroy:function(){this.element&&qt(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(Ft,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:bt,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:Y,DIRECTION_ALL:30,Manager:Wt,Input:q,TouchAction:St,TouchInput:ct,MouseInput:J,PointerEventInput:it,TouchMouseInput:pt,SingleTouchInput:ot,Recognizer:Pt,AttrRecognizer:Ot,Tap:Yt,Pan:Rt,Swipe:Xt,Pinch:Mt,Rotate:Nt,Press:zt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:T,prefixed:x}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=Ft,\"function\"==typeof define&&define.amd?define((function(){return Ft})):void 0!==e&&e.exports?e.exports=Ft:t.Hammer=Ft}(window,document)},\n      function _(e,s,i,t,n){t();const r=e(42),a=e(43);class _ extends r.View{initialize(){super.initialize(),this.el=this._createElement()}remove(){(0,a.remove)(this.el),super.remove()}css_classes(){return[]}render(){}renderTo(e){e.appendChild(this.el),this.render(),this._has_finished=!0,this.notify_finished()}_createElement(){return(0,a.createElement)(this.constructor.tag_name,{class:this.css_classes()})}}i.DOMView=_,_.__name__=\"DOMView\",_.tag_name=\"div\"},\n      function _(o,t,b,r,e){r(),b.root=\"bk-root\",b.toolbar_hidden=\"bk-toolbar-hidden\",b.toolbar=\"bk-toolbar\",b.logo=\"bk-logo\",b.above=\"bk-above\",b.below=\"bk-below\",b.left=\"bk-left\",b.right=\"bk-right\",b.toolbar_button=\"bk-toolbar-button\",b.tool_overflow=\"bk-tool-overflow\",b.active=\"bk-active\",b.divider=\"bk-divider\",b.horizontal=\"bk-horizontal\",b.vertical=\"bk-vertical\",b.default='.bk-root .bk-toolbar-hidden{visibility:hidden;opacity:0;transition:visibility 0.3s linear, opacity 0.3s linear;}.bk-root .bk-toolbar{display:flex;flex-wrap:nowrap;align-items:center;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;}.bk-root .bk-toolbar .bk-logo{flex-shrink:0;}.bk-root .bk-toolbar.bk-above,.bk-root .bk-toolbar.bk-below{flex-direction:row;justify-content:flex-end;}.bk-root .bk-toolbar.bk-above .bk-logo,.bk-root .bk-toolbar.bk-below .bk-logo{order:1;margin-left:5px;margin-right:0px;}.bk-root .bk-toolbar.bk-left,.bk-root .bk-toolbar.bk-right{flex-direction:column;justify-content:flex-start;}.bk-root .bk-toolbar.bk-left .bk-logo,.bk-root .bk-toolbar.bk-right .bk-logo{order:0;margin-bottom:5px;margin-top:0px;}.bk-root .bk-toolbar-button{width:30px;height:30px;cursor:pointer;background-size:60% 60%;background-origin:border-box;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-toolbar-button:hover,.bk-root .bk-tool-overflow:hover{background-color:rgba(192, 192, 192, 0.15);}.bk-root .bk-toolbar-button:focus,.bk-root .bk-tool-overflow:focus,.bk-root .bk-toolbar-button:focus-visible,.bk-root .bk-tool-overflow:focus-visible{outline:1px dotted #26aae1;outline-offset:-1px;}.bk-root .bk-toolbar-button::-moz-focus-inner,.bk-root .bk-tool-overflow::-moz-focus-inner{border:0;}.bk-root .bk-above .bk-toolbar-button{border-bottom:2px solid transparent;}.bk-root .bk-above .bk-toolbar-button.bk-active{border-bottom-color:#26aae1;}.bk-root .bk-below .bk-toolbar-button{border-top:2px solid transparent;}.bk-root .bk-below .bk-toolbar-button.bk-active{border-top-color:#26aae1;}.bk-root .bk-right .bk-toolbar-button{border-left:2px solid transparent;}.bk-root .bk-right .bk-toolbar-button.bk-active{border-left-color:#26aae1;}.bk-root .bk-left .bk-toolbar-button{border-right:2px solid transparent;}.bk-root .bk-left .bk-toolbar-button.bk-active{border-right-color:#26aae1;}.bk-root .bk-divider{content:\" \";display:inline-block;background-color:lightgray;}.bk-root .bk-above .bk-divider,.bk-root .bk-below .bk-divider{height:10px;width:1px;}.bk-root .bk-left .bk-divider,.bk-root .bk-right .bk-divider{height:1px;width:10px;}.bk-root .bk-tool-overflow{color:gray;display:flex;align-items:center;}.bk-root .bk-above .bk-tool-overflow,.bk-root .bk-below .bk-tool-overflow,.bk-root .bk-horizontal .bk-tool-overflow{width:15px;height:30px;flex-direction:row;}.bk-root .bk-left .bk-tool-overflow,.bk-root .bk-right .bk-tool-overflow,.bk-root .bk-vertical .bk-tool-overflow{width:30px;height:15px;flex-direction:column;}'},\n      function _(A,g,o,C,l){C(),o.root=\"bk-root\",o.tool_icon_copy_to_clipboard=\"bk-tool-icon-copy-to-clipboard\",o.tool_icon_replace_mode=\"bk-tool-icon-replace-mode\",o.tool_icon_append_mode=\"bk-tool-icon-append-mode\",o.tool_icon_intersect_mode=\"bk-tool-icon-intersect-mode\",o.tool_icon_subtract_mode=\"bk-tool-icon-subtract-mode\",o.tool_icon_clear_selection=\"bk-tool-icon-clear-selection\",o.tool_icon_box_select=\"bk-tool-icon-box-select\",o.tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",o.tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",o.tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",o.tool_icon_help=\"bk-tool-icon-help\",o.tool_icon_hover=\"bk-tool-icon-hover\",o.tool_icon_crosshair=\"bk-tool-icon-crosshair\",o.tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",o.tool_icon_pan=\"bk-tool-icon-pan\",o.tool_icon_xpan=\"bk-tool-icon-xpan\",o.tool_icon_ypan=\"bk-tool-icon-ypan\",o.tool_icon_range=\"bk-tool-icon-range\",o.tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",o.tool_icon_redo=\"bk-tool-icon-redo\",o.tool_icon_reset=\"bk-tool-icon-reset\",o.tool_icon_save=\"bk-tool-icon-save\",o.tool_icon_tap_select=\"bk-tool-icon-tap-select\",o.tool_icon_undo=\"bk-tool-icon-undo\",o.tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",o.tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",o.tool_icon_box_edit=\"bk-tool-icon-box-edit\",o.tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",o.tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",o.tool_icon_point_draw=\"bk-tool-icon-point-draw\",o.tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",o.tool_icon_line_edit=\"bk-tool-icon-line-edit\",o.default='.bk-root 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     function _(o,t,e,r,b){r(),e.root=\"bk-root\",e.menu_icon=\"bk-menu-icon\",e.context_menu=\"bk-context-menu\",e.horizontal=\"bk-horizontal\",e.vertical=\"bk-vertical\",e.divider=\"bk-divider\",e.active=\"bk-active\",e.menu=\"bk-menu\",e.above=\"bk-above\",e.below=\"bk-below\",e.caret=\"bk-caret\",e.down=\"bk-down\",e.up=\"bk-up\",e.left=\"bk-left\",e.right=\"bk-right\",e.default=\".bk-root .bk-menu-icon{width:28px;height:28px;background-size:60%;background-color:transparent;background-repeat:no-repeat;background-position:center center;}.bk-root .bk-context-menu{position:absolute;display:inline-flex;flex-wrap:nowrap;user-select:none;-ms-user-select:none;-moz-user-select:none;-webkit-user-select:none;width:auto;height:auto;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-context-menu.bk-horizontal{flex-direction:row;}.bk-root .bk-context-menu.bk-vertical{flex-direction:column;}.bk-root .bk-context-menu > .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 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.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<e.hcenter?\"right\":\"left\";case\"vertical\":return s<e.vcenter?\"below\":\"above\";default:return i}})();let l;this.el.classList.remove(d.right),this.el.classList.remove(d.left),this.el.classList.remove(d.above),this.el.classList.remove(d.below),(0,r.display)(this.el);let o=null,n=null;switch(i){case\"right\":this.el.classList.add(d.left),o=t+(this.el.offsetWidth-this.el.clientWidth)+10,l=s-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(d.right),n=this.plot_view.layout.bbox.width-t+10,l=s-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(d.above),l=s+(this.el.offsetHeight-this.el.clientHeight)+10,o=Math.round(t-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(d.below),l=s-this.el.offsetHeight-10,o=Math.round(t-this.el.offsetWidth/2)}this.el.style.top=`${l}px`,this.el.style.left=null!=o?`${o}px`:\"auto\",this.el.style.right=null!=n?`${n}px`:\"auto\"}}s.TooltipView=p,p.__name__=\"TooltipView\";class u extends a.Annotation{constructor(e){super(e)}clear(){this.position=null}}s.Tooltip=u,n=u,u.__name__=\"Tooltip\",n.prototype.default_view=p,n.define((({Boolean:e})=>({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<s;t++)this.visuals.line.set_vectorize(e,t),e.beginPath(),e.moveTo(this._lower_sx[t],this._lower_sy[t]),e.lineTo(this._upper_sx[t],this._upper_sy[t]),e.stroke();const t=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.lower_head)for(let s=0,i=this._lower_sx.length;s<i;s++)e.save(),e.translate(this._lower_sx[s],this._lower_sy[s]),e.rotate(t+Math.PI),this.lower_head.render(e,s),e.restore();if(null!=this.upper_head)for(let s=0,i=this._upper_sx.length;s<i;s++)e.save(),e.translate(this._upper_sx[s],this._upper_sy[s]),e.rotate(t),this.upper_head.render(e,s),e.restore()}}s.WhiskerView=n,n.__name__=\"WhiskerView\";class d extends l.UpperLower{constructor(e){super(e)}}s.Whisker=d,a=d,d.__name__=\"Whisker\",a.prototype.default_view=n,a.mixins(o.LineVector),a.define((({Ref:e,Nullable: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 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_.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 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c{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=u,u.__name__=\"MenuItemClick\",s.MenuItemClick=u=a([o(\"menu_item_click\")],u);class d extends c{}s.UIEvent=d,d.__name__=\"UIEvent\";let m=class extends d{};s.LODStart=m,m.__name__=\"LODStart\",s.LODStart=m=a([o(\"lodstart\")],m);let h=class extends d{};s.LODEnd=h,h.__name__=\"LODEnd\",s.LODEnd=h=a([o(\"lodend\")],h);let p=class extends d{constructor(e,t,s,n){super(),this.x0=e,this.x1=t,this.y0=s,this.y1=n}_to_json(){const{x0:e,x1:t,y0:s,y1:n}=this;return Object.assign(Object.assign({},super._to_json()),{x0:e,x1:t,y0:s,y1:n})}};s.RangesUpdate=p,p.__name__=\"RangesUpdate\",s.RangesUpdate=p=a([o(\"rangesupdate\")],p);let x=class extends d{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=x,x.__name__=\"SelectionGeometry\",s.SelectionGeometry=x=a([o(\"selectiongeometry\")],x);let j=class extends d{};s.Reset=j,j.__name__=\"Reset\",s.Reset=j=a([o(\"reset\")],j);class y extends d{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=y,y.__name__=\"PointEvent\";let g=class extends y{constructor(e,t,s,n,_,a){super(e,t,s,n),this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=g,g.__name__=\"Pan\",s.Pan=g=a([o(\"pan\")],g);let P=class extends y{constructor(e,t,s,n,_){super(e,t,s,n),this.scale=_}_to_json(){const{scale:e}=this;return 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y{};s.Tap=M,M.__name__=\"Tap\",s.Tap=M=a([o(\"tap\")],M);let f=class extends y{};s.DoubleTap=f,f.__name__=\"DoubleTap\",s.DoubleTap=f=a([o(\"doubletap\")],f);let S=class extends y{};s.Press=S,S.__name__=\"Press\",s.Press=S=a([o(\"press\")],S);let D=class extends y{};s.PressUp=D,D.__name__=\"PressUp\",s.PressUp=D=a([o(\"pressup\")],D);let k=class extends y{};s.PanStart=k,k.__name__=\"PanStart\",s.PanStart=k=a([o(\"panstart\")],k);let L=class extends y{};s.PanEnd=L,L.__name__=\"PanEnd\",s.PanEnd=L=a([o(\"panend\")],L);let U=class extends y{};s.PinchStart=U,U.__name__=\"PinchStart\",s.PinchStart=U=a([o(\"pinchstart\")],U);let C=class extends y{};s.PinchEnd=C,C.__name__=\"PinchEnd\",s.PinchEnd=C=a([o(\"pinchend\")],C);let T=class extends y{};s.RotateStart=T,T.__name__=\"RotateStart\",s.RotateStart=T=a([o(\"rotatestart\")],T);let B=class extends y{};s.RotateEnd=B,B.__name__=\"RotateEnd\",s.RotateEnd=B=a([o(\"rotateend\")],B)},\n      function _(t,e,n,l,o){\n      /*!\n           * jQuery 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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<t;n++)o[n]+=r[n]}}return o}}e.Stack=c,s=c,c.__name__=\"Stack\",s.define((({String:t,Array: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<t.length;e++)t[e]=t[e-1]+o[e-r];return t}}t.CumSum=u,i=u,u.__name__=\"CumSum\",i.define((({Boolean:e,String:n})=>({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<o;r++){const o=t.get(r),s=n.get(r)*e;i[r]=o*Math.cos(s),a[r]=o*Math.sin(s)}return{x:i,y:a}}}n.PolarTransform=d,a=d,d.__name__=\"PolarTransform\",a.define((({})=>({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<t.size;n++)e[n]===this.group&&t.set(n);return t}}}t.GroupFilter=l,u=l,l.__name__=\"GroupFilter\",u.define((({String: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<e&&e<1&&a.push(e);continue}const y=l*l-4*x*d,h=Math.sqrt(y);if(y<0)continue;const p=(-l+h)/(2*d);0<p&&p<1&&a.push(p);const f=(-l-h)/(2*d);0<f&&f<1&&a.push(f)}let d=a.length;const l=d;for(;d--;){const l=a[d],x=1-l,y=x*x*x*e+3*x*x*l*i+3*x*l*l*s+l*l*l*c;_[0][d]=y;const h=x*x*x*t+3*x*x*l*n+3*x*l*l*o+l*l*l*r;_[1][d]=h}return _[0][l]=e,_[1][l]=t,_[0][l+1]=c,_[1][l+1]=r,[Math.min(..._[0]),Math.max(..._[1]),Math.max(..._[0]),Math.min(..._[1])]}class y extends a.GlyphView{_project_data(){d.inplace.project_xy(this._x0,this._y0),d.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{data_size:t,_x0:i,_y0:n,_x1:s,_y1:o,_cx0:c,_cy0:r,_cx1:a,_cy1:_}=this;for(let d=0;d<t;d++){const t=i[d],l=n[d],y=s[d],h=o[d],p=c[d],f=r[d],u=a[d],m=_[d];if(isFinite(t+y+l+h+p+f+u+m)){const[i,n,s,o]=x(t,l,y,h,p,f,u,m);e.add_rect(i,n,s,o)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:o,sy1:c,scx0:r,scy0:a,scx1:_,scy1:d}=null!=i?i:this;for(const i of t){const t=n[i],l=s[i],x=o[i],y=c[i],h=r[i],p=a[i],f=_[i],u=d[i];isFinite(t+l+x+y+h+p+f+u)&&(e.beginPath(),e.moveTo(t,l),e.bezierCurveTo(h,p,f,u,x,y),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,_.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.BezierView=y,y.__name__=\"BezierView\";class h extends a.Glyph{constructor(e){super(e)}}i.Bezier=h,c=h,h.__name__=\"Bezier\",c.prototype.default_view=y,c.define((({})=>({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<a;s++){const a=t[s];c.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new m.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const l=new Array(n);l[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:l})}}e.CircleView=p,p.__name__=\"CircleView\";class y extends h.XYGlyph{constructor(s){super(s)}}e.Circle=y,n=y,y.__name__=\"Circle\",n.prototype.default_view=p,n.mixins([d.LineVector,d.FillVector,d.HatchVector]),n.define((({Number: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<t;e++)this.stop[e]=this.sy[e]-this.sh[e]/2,this.sbottom[e]=this.sy[e]+this.sh[e]/2;this._clamp_viewport()}}s.HBarView=l,l.__name__=\"HBarView\";class c extends n.Box{constructor(t){super(t)}}s.HBar=c,a=c,c.__name__=\"HBar\",a.prototype.default_view=l,a.define((({})=>({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<r;i++){const[r,n,a,h]=this._lrtb(i);t.add_rect(e(r,n),e(a,h),s(n,r),s(a,h))}}_render(t,e,s){const{sleft:r,sright:i,stop:n,sbottom:a}=null!=s?s:this;for(const s of e){const e=r[s],h=n[s],o=i[s],c=a[s];isFinite(e+h+o+c)&&(t.beginPath(),t.rect(e,h,o-e,c-h),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s))}}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,s=this.stop.length;for(let r=0;r<s;r++)this.stop[r]=Math.max(this.stop[r],e.start),this.sbottom[r]=Math.min(this.sbottom[r],e.end),this.sleft[r]=Math.max(this.sleft[r],t.start),this.sright[r]=Math.min(this.sright[r],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:s}=t,r=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),n=[...this.index.indices({x0:r,y0:i,x1:r,y1:i})];return new c.Selection({indices:n})}_hit_span(t){const{sx:e,sy:s}=t;let r;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(s),e=this.renderer.plot_view.frame.bbox.h_range,[i,n]=this.renderer.xscale.r_invert(e.start,e.end);r=[...this.index.indices({x0:i,y0:t,x1:n,y1:t})]}else{const t=this.renderer.xscale.invert(e),s=this.renderer.plot_view.frame.bbox.v_range,[i,n]=this.renderer.yscale.r_invert(s.start,s.end);r=[...this.index.indices({x0:t,y0:i,x1:t,y1:n})]}return new c.Selection({indices:r})}draw_legend_for_index(t,e,s){(0,o.generic_area_vector_legend)(this.visuals,t,e,s)}}s.BoxView=_,_.__name__=\"BoxView\";class l extends h.Glyph{constructor(t){super(t)}}s.Box=l,n=l,l.__name__=\"Box\",n.mixins([a.LineVector,a.FillVector,a.HatchVector])},\n      function _(e,t,s,i,r){i();const n=e(1);var a;const l=e(179),o=(0,n.__importStar)(e(185)),c=(0,n.__importStar)(e(18)),h=e(48),_=e(20),d=e(78),p=e(184),x=e(72);class y extends l.GlyphView{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{HexTileGL:s}=await Promise.resolve().then((()=>(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<n;e++){const n=i.get(e),c=r.get(e)/2;a[e]=t*o*(n+c)/s,l[e]=-3*t*c}else for(let e=0;e<n;e++){const n=i.get(e)/2,c=r.get(e);a[e]=3*t*n,l[e]=-t*o*(c+n)*s}}_project_data(){d.inplace.project_xy(this._x,this._y)}_index_data(e){let t=this.model.size,s=Math.sqrt(3)*t/2;\"flattop\"==this.model.orientation?([s,t]=[t,s],t*=this.model.aspect_scale):s/=this.model.aspect_scale;const{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y[r];e.add_rect(i-s,n-t,i+s,n+t)}}map_data(){var e;[this.sx,this.sy]=this.renderer.coordinates.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices(),null===(e=this.glglyph)||void 0===e||e.set_data_changed()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,a=r/2;return[[0,-n,-n,0,n,n],[r,a,-a,-r,-a,a]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,a=r/2;return[[r,a,-a,-r,-a,a],[0,-n,-n,0,n,n]]}}_render(e,t,s){const{sx:i,sy:r,svx:n,svy:a,scale:l}=null!=s?s:this;for(const s of t){const t=i[s],o=r[s],c=l.get(s);if(isFinite(t+o+c)){e.translate(t,o),e.beginPath();for(let t=0;t<6;t++)e.lineTo(n[t]*c,a[t]*c);e.closePath(),e.translate(-t,-o),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),n=this.index.indices({x0:i,y0:r,x1:i,y1:r}),a=[];for(const e of n)o.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&a.push(e);return new x.Selection({indices:a})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=[...this.index.indices({x0:r,y0:e,x1:n,y1:e})]}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=[...this.index.indices({x0:e,y0:r,x1:e,y1:n})]}return new x.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(t,s),[l,o]=this.renderer.yscale.r_invert(i,r),c=[...this.index.indices({x0:n,x1:a,y0:l,y1:o})];return new x.Selection({indices:c})}draw_legend_for_index(e,t,s){(0,p.generic_area_vector_legend)(this.visuals,e,t,s)}}s.HexTileView=y,y.__name__=\"HexTileView\";class u extends l.Glyph{constructor(e){super(e)}}s.HexTile=u,a=u,u.__name__=\"HexTile\",a.prototype.default_view=y,a.mixins([h.LineVector,h.FillVector,h.HatchVector]),a.define((({Number: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<i;t++){if(null!=e&&e.indexOf(t)<0)continue;const i=this.image.get(t);let s;(0,o.is_NDArray)(i)?((0,c.assert)(2==i.dimension,\"expected a 2D array\"),s=i,this._height[t]=i.shape[0],this._width[t]=i.shape[1]):(s=(0,g.concat)(i),this._height[t]=i.length,this._width[t]=i[0].length);const a=this._flat_img_to_buf8(s);this._set_image_data_from_buffer(t,a)}}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++){const[t,s,a,h]=this._lrtb(i);e.add_rect(t,h,s,a)}}_lrtb(e){const t=this.dw.get(e),i=this.dh.get(e),s=this.renderer.xscale.source_range,a=this._x[e],h=s.is_reversed?a-t:a+t,n=this.renderer.yscale.source_range,r=this._y[e],_=n.is_reversed?r-i:r+i,[d,l]=a<h?[a,h]:[h,a],[g,o]=r<_?[r,_]:[_,r];return[d,l,o,g]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this.image.length||(this.image_data=new Array(this.image.length)),null!=this._width&&this._width.length==this.image.length||(this._width=new Uint32Array(this.image.length)),null!=this._height&&this._height.length==this.image.length||(this._height=new Uint32Array(this.image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const i=this._get_or_create_canvas(e),s=i.getContext(\"2d\"),a=s.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),s.putImageData(a,0,0),this.image_data[e]=i}_map_data(){\"data\"==this.model.properties.dw.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.dw,\"edge\",this.model.dilate):this.sw=(0,_.to_screen)(this.dw),\"data\"==this.model.properties.dh.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.dh,\"edge\",this.model.dilate):this.sh=(0,_.to_screen)(this.dh)}_image_index(e,t,i){const[s,a,h,n]=this._lrtb(e),r=this._width[e],_=this._height[e],d=(a-s)/r,l=(h-n)/_;let g=Math.floor((t-s)/d),o=Math.floor((i-n)/l);return this.renderer.xscale.source_range.is_reversed&&(g=r-g-1),this.renderer.yscale.source_range.is_reversed&&(o=_-o-1),{index:e,dim1:g,dim2:o,flat_index:o*r+g}}_hit_point(e){const{sx:t,sy:i}=e,s=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(i),h=this.index.indices({x0:s,x1:s,y0:a,y1:a}),n=new l.Selection;for(const e of h)t!=1/0&&i!=1/0&&n.image_indices.push(this._image_index(e,s,a));return n}}i.ImageBaseView=m,m.__name__=\"ImageBaseView\";class u extends r.XYGlyph{constructor(e){super(e)}}i.ImageBase=u,n=u,u.__name__=\"ImageBase\",n.define((({Boolean:e})=>({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<t;s++)e.add_empty()}_set_data(){this._set_data_iteration++;const e=this.url.length;this.image=new Array(e);const{retry_attempts:t,retry_timeout:s}=this.model,{_set_data_iteration:r}=this;for(let a=0;a<e;a++){const e=this.url.get(a);e&&new d.ImageLoader(e,{loaded:e=>{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<n;e++)[o[e],o[n+e]]=m(this._x[e],this.w.get(e));else o.set(this._x,0);if(i)for(let e=0;e<n;e++)[_[e],_[n+e]]=g(this._y[e],this.h.get(e));else _.set(this._y,0);const[u,p]=(0,l.minmax)(o),[f,b]=(0,l.minmax)(_);this._bounds_rect={x0:u,x1:p,y0:f,y1:b}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){\"data\"==this.model.properties.w.units?this.sw=this.sdist(this.renderer.xscale,this._x,this.w,\"edge\",this.model.dilate):this.sw=(0,c.to_screen)(this.w),\"data\"==this.model.properties.h.units?this.sh=this.sdist(this.renderer.yscale,this._y,this.h,\"edge\",this.model.dilate):this.sh=(0,c.to_screen)(this.h)}_render(e,t,s){const{image:r,sx:a,sy:i,sw:n,sh:o,angle:c,global_alpha:_}=null!=s?s:this,{frame:h}=this.renderer.plot_view;e.beginPath(),e.rect(h.bbox.left+1,h.bbox.top+1,h.bbox.width-2,h.bbox.height-2),e.clip();let l=!0;for(const s of t){if(!isFinite(a[s]+i[s]+c.get(s)+_.get(s)))continue;const t=r[s];null!=t?this._render_image(e,s,t,a,i,n,o,c,_):l=!1}l&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,r,a){switch(e){case\"top_left\":return[t,s];case\"top\":case\"top_center\":return[t-r/2,s];case\"top_right\":return[t-r,s];case\"right\":case\"center_right\":return[t-r,s-a/2];case\"bottom_right\":return[t-r,s-a];case\"bottom\":case\"bottom_center\":return[t-r/2,s-a];case\"bottom_left\":return[t,s-a];case\"left\":case\"center_left\":return[t,s-a/2];case\"center\":case\"center_center\":return[t-r/2,s-a/2]}}_render_image(e,t,s,r,a,i,n,o,c){isFinite(i[t])||(i[t]=s.width),isFinite(n[t])||(n[t]=s.height);const _=i[t],h=n[t],{anchor:l}=this.model,[d,m]=this._final_sx_sy(l,r[t],a[t],_,h),g=o.get(t),u=c.get(t);e.save(),e.globalAlpha=u;const p=_/2,f=h/2;g?(e.translate(d,m),e.translate(p,f),e.rotate(g),e.translate(-p,-f),e.drawImage(s,0,0,_,h),e.translate(p,f),e.rotate(-g),e.translate(-p,-f),e.translate(-d,-m)):e.drawImage(s,d,m,_,h),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=m,m.__name__=\"ImageURLView\";class g extends o.XYGlyph{constructor(e){super(e)}}s.ImageURL=g,n=g,g.__name__=\"ImageURL\",n.prototype.default_view=m,n.define((({Boolean:e,Int:t})=>({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;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,o,r,l]=(0,a.minmax2)(t,i);e.add_rect(n,r,o,l)}}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),o=n.get(s),r=Math.min(t.length,o.length);let l=!0;e.beginPath();for(let s=0;s<r;s++){const i=t[s],n=o[s];isFinite(i+n)?l?(e.moveTo(i,n),l=!1):e.lineTo(i,n):l=!0}this.visuals.line.set_vectorize(e,s),e.stroke()}}_hit_point(e){const t={x:e.sx,y:e.sy};let s=9999;const i=new Map;for(let e=0,n=this.sxs.length;e<n;e++){const n=Math.max(2,this.line_width.get(e)/2),o=this.sxs.get(e),r=this.sys.get(e);let l=null;for(let e=0,i=o.length-1;e<i;e++){const i={x:o[e],y:r[e]},_={x:o[e+1],y:r[e+1]},h=c.dist_to_segment(t,i,_);h<n&&h<s&&(s=h,l=[e])}null!=l&&i.set(e,l)}return new g.Selection({indices:[...i.keys()],multiline_indices:(0,d.to_object)(i)})}_hit_span(e){const{sx:t,sy:s}=e;let i,n;\"v\"==e.direction?(i=this.renderer.yscale.invert(s),n=this._ys):(i=this.renderer.xscale.invert(t),n=this._xs);const o=new Map;for(let e=0,t=n.length;e<t;e++){const t=n.get(e),s=[];for(let e=0,n=t.length-1;e<n;e++)t[e]<=i&&i<=t[e+1]&&s.push(e);s.length>0&&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;i<n;i++){const n=this._xs[i],o=this._ys[i];if(0==n.length||0==o.length){t.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let t=0,i=n.length;t<i;t++){const i=n[t][0],c=o[t][0];if(0!=i.length&&0!=c.length){const[t,n]=(0,_.minmax)(i),[o,d]=(0,_.minmax)(c);r=e(r,t),l=s(l,n),h=e(h,o),a=s(a,d)}}t.add_rect(r,h,l,a)}this._hole_index=this._index_hole_data()}_index_hole_data(){const{min:t,max:e}=Math,{data_size:s}=this,n=new l.SpatialIndex(s);for(let i=0;i<s;i++){const s=this._xs[i],o=this._ys[i];if(0==s.length||0==o.length){n.add_empty();continue}let r=1/0,l=-1/0,h=1/0,a=-1/0;for(let n=0,i=s.length;n<i;n++){const i=s[n],c=o[n];if(i.length>1&&c.length>1)for(let s=1,n=i.length;s<n;s++){const[n,o]=(0,_.minmax)(i[s]),[d,x]=(0,_.minmax)(c[s]);r=t(r,n),l=e(l,o),h=t(h,d),a=e(a,x)}}n.add_rect(r,h,l,a)}return n.finish(),n}_mask_data(){const{x_range:t,y_range:e}=this.renderer.plot_view.frame;return this.index.indices({x0:t.min,x1:t.max,y0:e.min,y1:e.max})}_render(t,e,s){if(this.visuals.fill.doit||this.visuals.line.doit){const{sxs:n,sys:i}=null!=s?s:this;for(const s of e){t.beginPath();const e=n[s],o=i[s],r=Math.min(e.length,o.length);for(let s=0;s<r;s++){const n=e[s],i=o[s],r=Math.min(n.length,i.length);for(let e=0;e<r;e++){const s=n[e],o=i[e],r=Math.min(s.length,o.length);for(let e=0;e<r;e++){const n=s[e],i=o[e];0==e?t.moveTo(n,i):t.lineTo(n,i)}t.closePath()}}this.visuals.fill.apply(t,s,\"evenodd\"),this.visuals.hatch.apply(t,s,\"evenodd\"),this.visuals.line.apply(t,s)}}}_hit_rect(t){const{sx0:e,sx1:s,sy0:n,sy1:i}=t,o=[e,s,s,e],r=[n,n,i,i],[l,h]=this.renderer.xscale.r_invert(e,s),[a,_]=this.renderer.yscale.r_invert(n,i),c=this.index.indices({x0:l,x1:h,y0:a,y1:_}),d=[];for(const t of c){const e=this.sxs[t],s=this.sys[t];let n=!0;for(let t=0,i=e.length;t<i;t++){for(let i=0,l=e[t][0].length;i<l;i++){const l=e[t][0][i],h=s[t][0][i];if(!x.point_in_poly(l,h,o,r)){n=!1;break}}if(!n)break}n&&d.push(t)}return new f.Selection({indices:d})}_hit_point(t){const{sx:e,sy:s}=t,n=this.renderer.xscale.invert(e),i=this.renderer.yscale.invert(s),o=this.index.indices({x0:n,y0:i,x1:n,y1:i}),r=this._hole_index.indices({x0:n,y0:i,x1:n,y1:i}),l=[];for(const t of o){const n=this.sxs[t],i=this.sys[t];for(let o=0,h=n.length;o<h;o++){const h=n[o].length;if(x.point_in_poly(e,s,n[o][0],i[o][0]))if(1==h)l.push(t);else if(r.get(t)){if(h>1){let r=!1;for(let t=1;t<h;t++){const l=n[o][t],h=i[o][t];if(x.point_in_poly(e,s,l,h)){r=!0;break}}r||l.push(t)}}else l.push(t)}}return new f.Selection({indices:l})}_get_snap_coord(t){return(0,c.sum)(t)/t.length}scenterxy(t,e,s){if(1==this.sxs[t].length){return[this._get_snap_coord(this.sxs[t][0][0]),this._get_snap_coord(this.sys[t][0][0])]}{const n=this.sxs[t],i=this.sys[t];for(let t=0,o=n.length;t<o;t++)if(x.point_in_poly(e,s,n[t][0],i[t][0])){return[this._get_snap_coord(n[t][0]),this._get_snap_coord(i[t][0])]}}(0,g.unreachable)()}map_data(){const t=this._xs.length;this.sxs=new Array(t),this.sys=new Array(t);for(let e=0;e<t;e++){const t=this._xs[e].length;this.sxs[e]=new Array(t),this.sys[e]=new Array(t);for(let s=0;s<t;s++){const t=this._xs[e][s].length;this.sxs[e][s]=new Array(t),this.sys[e][s]=new Array(t);for(let n=0;n<t;n++){const[t,i]=this.renderer.coordinates.map_to_screen(this._xs[e][s][n],this._ys[e][s][n]);this.sxs[e][s][n]=t,this.sys[e][s][n]=i}}}}draw_legend_for_index(t,e,s){(0,a.generic_area_vector_legend)(this.visuals,t,e,s)}}s.MultiPolygonsView=p,p.__name__=\"MultiPolygonsView\";class m extends h.Glyph{constructor(t){super(t)}}s.MultiPolygons=m,r=m,m.__name__=\"MultiPolygons\",r.prototype.default_view=p,r.define((({})=>({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<t;s++){const t=this._xs.get(s),i=this._ys.get(s),[n,r,a,o]=(0,_.minmax2)(t,i);e.add_rect(n,a,r,o)}}_mask_data(){const{x_range:e,y_range:t}=this.renderer.plot_view.frame;return this.index.indices({x0:e.min,x1:e.max,y0:t.min,y1:t.max})}_render(e,t,s){const{sxs:i,sys:n}=null!=s?s:this;for(const s of t){const t=i.get(s),r=n.get(s);let a=!0;e.beginPath();const o=Math.min(t.length,r.length);for(let s=0;s<o;s++){const i=t[s],n=r[s];isFinite(i+n)?a?(e.moveTo(i,n),a=!1):e.lineTo(i,n):(e.closePath(),a=!0)}e.closePath(),this.visuals.fill.apply(e,s),this.visuals.hatch.apply(e,s),this.visuals.line.apply(e,s)}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],a=[i,i,n,n],[o,c]=this.renderer.xscale.r_invert(t,s),[_,h]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:o,x1:c,y0:_,y1:h}),p=[];for(const e of d){const t=this.sxs.get(e),s=this.sys.get(e);let i=!0;for(let e=0,n=t.length;e<n;e++){const n=t[e],o=s[e];if(!l.point_in_poly(n,o,r,a)){i=!1;break}}i&&p.push(e)}return new y.Selection({indices:p})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),a=[];for(const e of r){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;for(let o=0,c=0;;c++){if(isNaN(i[c])||c==r){const r=i.subarray(o,c),_=n.subarray(o,c);if(l.point_in_poly(t,s,r,_)){a.push(e);break}o=c+1}if(c==r)break}}return new y.Selection({indices:a})}_get_snap_coord(e){return(0,_.sum)(e)/e.length}scenterxy(e,t,s){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;let a=!1;for(let e=0,o=0;;o++){const c=isNaN(i[o]);if(a=a||c,o==r&&!a){return[this._get_snap_coord(i),this._get_snap_coord(n)]}if(c||o==r){const r=i.subarray(e,o),a=n.subarray(e,o);if(l.point_in_poly(t,s,r,a)){return[this._get_snap_coord(r),this._get_snap_coord(a)]}e=o+1}if(o==r)break}(0,p.unreachable)()}draw_legend_for_index(e,t,s){(0,c.generic_area_vector_legend)(this.visuals,e,t,s)}}s.PatchesView=f,f.__name__=\"PatchesView\";class g extends o.Glyph{constructor(e){super(e)}}s.Patches=g,a=g,g.__name__=\"Patches\",a.prototype.default_view=f,a.define((({})=>({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<r;a++){const r=t[a],_=i[a],d=n[a],l=s[a],y=c[a],p=o[a];if(isFinite(r+_+d+l+y+p)){const[t,i]=x(r,y,_),[n,s]=x(d,p,l);e.add_rect(t,n,i,s)}else e.add_empty()}}_render(e,t,i){if(this.visuals.line.doit){const{sx0:n,sy0:s,sx1:c,sy1:o,scx:r,scy:a}=null!=i?i:this;for(const i of t){const t=n[i],_=s[i],d=c[i],l=o[i],x=r[i],y=a[i];isFinite(t+_+d+l+x+y)&&(e.beginPath(),e.moveTo(t,_),e.quadraticCurveTo(x,y,d,l),this.visuals.line.set_vectorize(e,i),e.stroke())}}}draw_legend_for_index(e,t,i){(0,d.generic_line_vector_legend)(this.visuals,e,t,i)}scenterxy(){throw new Error(`${this}.scenterxy() is not implemented`)}}i.QuadraticView=y,y.__name__=\"QuadraticView\";class p extends _.Glyph{constructor(e){super(e)}}i.Quadratic=p,o=p,p.__name__=\"Quadratic\",o.prototype.default_view=y,o.define((({})=>({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<t;e++)0==i[e]&&(i[e]=s)}_render(e,t,s){const{sx:i,sy:n,slength:l,angle:a}=null!=s?s:this;if(this.visuals.line.doit)for(const s of t){const t=i[s],r=n[s],o=a.get(s),h=l[s];isFinite(t+r+o+h)&&(e.translate(t,r),e.rotate(o),e.beginPath(),e.moveTo(0,0),e.lineTo(h,0),this.visuals.line.set_vectorize(e,s),e.stroke(),e.rotate(-o),e.translate(-t,-r))}}draw_legend_for_index(e,t,s){(0,o.generic_line_vector_legend)(this.visuals,e,t,s)}}s.RayView=g,g.__name__=\"RayView\";class d extends r.XYGlyph{constructor(e){super(e)}}s.Ray=d,a=d,d.__name__=\"Ray\",a.prototype.default_view=g,a.mixins(h.LineVector),a.define((({})=>({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<t;e++)this.sx0[e]=this.sx[e]-this.sw[e]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this.height,this.renderer.yscale);else{this.sh=(0,_.to_screen)(this.height);const t=this.sy.length;this.sy1=new _.ScreenArray(t);for(let e=0;e<t;e++)this.sy1[e]=this.sy[e]-this.sh[e]/2}const t=this.sw.length;this.ssemi_diag=new _.ScreenArray(t);for(let e=0;e<t;e++)this.ssemi_diag[e]=Math.sqrt(this.sw[e]/2*this.sw[e]/2+this.sh[e]/2*this.sh[e]/2)}_render(t,e,s){const{sx:i,sy:r,sx0:n,sy1:h,sw:a,sh:l,angle:o}=null!=s?s:this;for(const s of e){const e=i[s],c=r[s],_=n[s],d=h[s],f=a[s],y=l[s],u=o.get(s);isFinite(e+c+_+d+f+y+u)&&(0!=f&&0!=y&&(t.beginPath(),u?(t.translate(e,c),t.rotate(u),t.rect(-f/2,-y/2,f,y),t.rotate(-u),t.translate(-e,-c)):t.rect(_,d,f,y),this.visuals.fill.apply(t,s),this.visuals.hatch.apply(t,s),this.visuals.line.apply(t,s)))}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:e,sy:s}=t;const i=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(s),n=this.sx0.length,h=new _.ScreenArray(n);for(let t=0;t<n;t++)h[t]=this.sx0[t]+this.sw[t]/2;const a=new _.ScreenArray(n);for(let t=0;t<n;t++)a[t]=this.sy1[t]+this.sh[t]/2;const l=(0,d.max)(this._ddist(0,h,this.ssemi_diag)),o=(0,d.max)(this._ddist(1,a,this.ssemi_diag)),c=i-l,y=i+l,u=r-o,w=r+o;let g,p;const x=[];for(const t of this.index.indices({x0:c,x1:y,y0:u,y1:w})){const i=this.angle.get(t);if(i){const r=Math.sin(-i),n=Math.cos(-i),h=n*(e-this.sx[t])-r*(s-this.sy[t])+this.sx[t],a=r*(e-this.sx[t])+n*(s-this.sy[t])+this.sy[t];e=h,s=a,g=Math.abs(this.sx[t]-e)<=this.sw[t]/2,p=Math.abs(this.sy[t]-s)<=this.sh[t]/2}else{const i=e-this.sx0[t],r=s-this.sy1[t];g=0<=i&&i<=this.sw[t],p=0<=r&&r<=this.sh[t]}g&&p&&x.push(t)}return new f.Selection({indices:x})}_map_dist_corner_for_data_side_length(t,e,s){const i=t.length,r=new Float64Array(i),n=new Float64Array(i);for(let s=0;s<i;s++){const i=t[s],h=e.get(s)/2;r[s]=i-h,n[s]=i+h}const h=s.v_compute(r),a=s.v_compute(n),l=this.sdist(s,r,e,\"edge\",this.model.dilate);let o=h;for(let t=0;t<i;t++){const e=h[t],s=a[t];if(!isNaN(e+s)&&e!=s){o=e<s?h:a;break}}return[l,o]}_ddist(t,e,s){const i=(0,_.infer_type)(e,s),r=0==t?this.renderer.xscale:this.renderer.yscale,n=e,h=n.length,a=new i(h);for(let t=0;t<h;t++)a[t]=n[t]+s[t];const l=r.v_invert(n),o=r.v_invert(a),c=l.length,d=new i(c);for(let t=0;t<c;t++)d[t]=Math.abs(o[t]-l[t]);return d}draw_legend_for_index(t,e,s){(0,c.generic_area_vector_legend)(this.visuals,t,e,s)}}s.RectView=y,y.__name__=\"RectView\";class u extends o.CenterRotatable{constructor(t){super(t)}}s.Rect=u,n=u,u.__name__=\"Rect\",n.prototype.default_view=y,n.define((({Boolean:t})=>({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<r;e++){const r=n[e];_.point_in_poly(this.sx[e],this.sy[e],t,s)&&i.push(r)}return new x.Selection({indices:i})}_get_legend_args({x0:e,x1:t,y0:s,y1:n},i){const r=i+1,a=new Array(r),c=new Array(r);a[i]=(e+t)/2,c[i]=(s+n)/2;const o=.4*Math.min(Math.abs(t-e),Math.abs(n-s));return{sx:a,sy:c,size:new h.UniformScalar(o,r),angle:new h.UniformScalar(0,r)}}draw_legend_for_index(e,{x0:t,x1:s,y0:n,y1:i},r){const a=this._get_legend_args({x0:t,x1:s,y0:n,y1:i},r);this._render(e,[r],a)}}s.MarkerView=d,d.__name__=\"MarkerView\";class y extends c.XYGlyph{constructor(e){super(e)}}s.Marker=y,a=y,y.__name__=\"Marker\",a.mixins([o.LineVector,o.FillVector,o.HatchVector]),a.define((({Number: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 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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)<t&&a.push(e)}return new l.Selection({indices:a})}_hit_span(e){const[t,s]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,o,_;\"v\"==e.direction?(_=this.renderer.yscale.invert(n),[r,o]=[this._y0,this._y1]):(_=this.renderer.xscale.invert(i),[r,o]=[this._x0,this._x1]);const h=[],[c,a]=this.renderer.xscale.r_invert(t.start,t.end),[d,x]=this.renderer.yscale.r_invert(s.start,s.end),y=this.index.indices({x0:c,y0:d,x1:a,y1:x});for(const t of y){(r[t]<=_&&_<=o[t]||o[t]<=_&&_<=r[t])&&h.push(t);const s=1.5+this.line_width.get(t)/2;r[t]==o[t]&&(\"h\"==e.direction?Math.abs(this.sx0[t]-i)<=s&&h.push(t):Math.abs(this.sy0[t]-n)<=s&&h.push(t))}return new l.Selection({indices:h})}scenterxy(e){return[this.sx0[e]/2+this.sx1[e]/2,this.sy0[e]/2+this.sy1[e]/2]}draw_legend_for_index(e,t,s){(0,x.generic_line_vector_legend)(this.visuals,e,t,s)}}s.SegmentView=y,y.__name__=\"SegmentView\";class p extends d.Glyph{constructor(e){super(e)}}s.Segment=p,o=p,p.__name__=\"Segment\",o.prototype.default_view=y,o.define((({})=>({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;n<f;n++){const s=(i[n+1]-i[n-1])*o,c=(u[n+1]-u[n-1])*o,l=(i[n+2]-i[n])*o,r=(u[n+2]-u[n])*o;for(let o=0;o<=4*e;t++){const e=g[o++],f=g[o++],w=g[o++],a=g[o++];h[t]=e*i[n]+f*i[n+1]+w*s+a*l,_[t]=e*u[n]+f*u[n+1]+w*c+a*r}}return[h,_]}},\n      function 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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<this._sxs.length;t++){const n=this._sxs[t],o=this._sys[t],_=n.length;for(let h=0,l=_;h<l;h++){const[l,a]=this._rotate_point(e,s,n[_-1][0],o[_-1][0],-this.angle.get(t));r.point_in_poly(l,a,n[h],o[h])&&i.push(t)}}return new u.Selection({indices:i})}scenterxy(t){const e=this._sxs[t],s=this._sys[t];(0,x.assert)(0!=e.length&&0!=s.length);const i=e[0][0],n=s[0][0],o=(e[0][2]+i)/2,_=(s[0][2]+n)/2,[h,l]=this._rotate_point(o,_,i,n,this.angle.get(t));return[h,l]}}s.TextView=f,f.__name__=\"TextView\";class p extends h.XYGlyph{constructor(t){super(t)}}s.Text=p,_=p,p.__name__=\"Text\",_.prototype.default_view=f,_.mixins(l.TextVector),_.define((({})=>({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<t;e++)this.sleft[e]=this.sx[e]-this.sw[e]/2,this.sright[e]=this.sx[e]+this.sw[e]/2;this._clamp_viewport()}}s.VBarView=l,l.__name__=\"VBarView\";class c extends a.Box{constructor(t){super(t)}}s.VBar=c,o=c,c.__name__=\"VBar\",o.prototype.default_view=l,o.define((({})=>({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<t.data.start.length;e++)((0,_.contains)(n,t.data.start[e])||(0,_.contains)(n,t.data.end[e]))&&s.push(e);const o=new i.Selection;for(const e of s)o.multiline_indices[e]=[0];return o.indices=s,o}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,d,n);const o=t.edge_renderer.data_source.selected,r=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(r,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model);o.update(e,n,s),d.node_view.model.data_source.setv({inspected:o},{silent:!0});const r=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model),_=this.get_linked_edges(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return r.update(_,n,s),d.edge_view.model.data_source.setv({inspected:r},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view.model,{geometry:t}]),!o.is_empty()}}d.NodesAndLinkedEdges=u,u.__name__=\"NodesAndLinkedEdges\";class m extends c{constructor(e){super(e)}hit_test(e,t){return this._hit_test(e,t,t.edge_view)}get_linked_nodes(e,t,d){let n=[];\"selection\"==d?n=t.selected.indices:\"inspection\"==d&&(n=t.inspected.indices);const s=[];for(const e of n)s.push(t.data.start[e]),s.push(t.data.end[e]);const o=(0,_.uniq)(s).map((t=>(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<e;t++){const a=this.graph_layout[l[t]],[e,r]=null!=a?a:[NaN,NaN];n[t]=e,o[t]=r}return[n,o]}get_edge_coordinates(t){var a,l;const e=null!==(a=t.data.start)&&void 0!==a?a:[],n=null!==(l=t.data.end)&&void 0!==l?l:[],o=Math.min(e.length,n.length),r=[],u=[],s=null!=t.data.xs&&null!=t.data.ys;for(let a=0;a<o;a++){const l=null!=this.graph_layout[e[a]]&&null!=this.graph_layout[n[a]];if(s&&l)r.push(t.data.xs[a]),u.push(t.data.ys[a]);else{let t,o;l?(t=this.graph_layout[e[a]],o=this.graph_layout[n[a]]):(t=[NaN,NaN],o=[NaN,NaN]),r.push([t[0],o[0]]),u.push([t[1],o[1]])}}return[r,u]}}l.StaticLayoutProvider=u,o=u,u.__name__=\"StaticLayoutProvider\",o.define((({Number:t,Tuple:a,Dict:l})=>({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;s<e.length-1;s++){if(s%2!=1)continue;const[t,r]=this.coordinates.map_to_screen(e[s],n[s]),[o,d]=this.coordinates.map_to_screen(e[s+1],n[s+1]);i.beginPath(),i.rect(t[0],r[0],o[1]-t[0],d[1]-r[0]),this.visuals.band_fill.apply(i),this.visuals.band_hatch.apply(i)}}_draw_grids(i){if(!this.visuals.grid_line.doit)return;const[e,n]=this.grid_coords(\"major\");this._draw_grid_helper(i,this.visuals.grid_line,e,n)}_draw_minor_grids(i){if(!this.visuals.minor_grid_line.doit)return;const[e,n]=this.grid_coords(\"minor\");this._draw_grid_helper(i,this.visuals.minor_grid_line,e,n)}_draw_grid_helper(i,e,n,s){e.set_value(i),i.beginPath();for(let e=0;e<n.length;e++){const[t,r]=this.coordinates.map_to_screen(n[e],s[e]);i.moveTo(Math.round(t[0]),Math.round(r[0]));for(let e=1;e<t.length;e++)i.lineTo(Math.round(t[e]),Math.round(r[e]))}i.stroke()}ranges(){const i=this.model.dimension,e=(i+1)%2,{ranges:n}=this.coordinates;return[n[i],n[e]]}computed_bounds(){const[i]=this.ranges(),e=this.model.bounds,n=[i.min,i.max];let s,t;if((0,h.isArray)(e))s=Math.min(e[0],e[1]),t=Math.max(e[0],e[1]),s<n[0]&&(s=n[0]),t>n[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<l.length;i++){if((l[i]==h||l[i]==c)&&e)continue;const t=[],r=[],o=2;for(let e=0;e<o;e++){const n=u+(m-u)/(o-1)*e;t.push(l[i]),r.push(n)}_[n].push(t),_[s].push(r)}return _}}n.GridView=c,c.__name__=\"GridView\";class u extends _.GuideRenderer{constructor(i){super(i)}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}n.Grid=u,o=u,u.__name__=\"Grid\",o.prototype.default_view=c,o.mixins([[\"grid_\",l.Line],[\"minor_grid_\",l.Line],[\"band_\",l.Fill],[\"band_\",l.Hatch]]),o.define((({Number:i,Auto:e,Enum:n,Ref:s,Tuple:t,Or:r,Nullable:o})=>({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,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');}.bk-root .bk-close:hover{background-image:url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');}'},\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<n.length;e++){const r=n[e];t[e]=this._compute(r)}return t}compute(e){return this.range instanceof i.FactorRange?this._compute(this.range.synthetic(e)):(0,h.isNumber)(e)?this._compute(e):void(0,l.unreachable)()}}t.RangeTransform=g,s=g,g.__name__=\"RangeTransform\",s.define((({Ref:e,Nullable:n})=>({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;r<t.length;r++){const n=t[r];e[r]=this.compute(n)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if((0,d.isString)(this.x)&&(0,d.isString)(this.y)&&null!=this.data){const t=this.data.columns();if(!(0,l.includes)(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!(0,l.includes)(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!(0,d.isArray)(this.x)||!(0,d.isArray)(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const n=e.length,s=new Uint32Array(n);for(let t=0;t<n;t++)s[t]=t;const o=t?-1:1;s.sort(((t,r)=>o*(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<n;t++)this._x_sorted[t]=e[s[t]],this._y_sorted[t]=r[s[t]];this._sorted_dirty=!1}}r.Interpolator=c,o=c,c.__name__=\"Interpolator\",o.define((({Boolean:t,Number:e,String:r,Ref:n,Array:s,Or:o,Nullable:i})=>({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(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._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=>s<t)),_=this._x_sorted[s],r=this._x_sorted[s+1],e=this._y_sorted[s],o=this._y_sorted[s+1];return e+(t-_)/(r-_)*(o-e)}}_.LinearInterpolator=n,n.__name__=\"LinearInterpolator\"},\n      function _(t,e,s,r,o){var _;r();const i=t(325),n=t(20),d=t(9);class h extends i.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._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<e.length;i++){const s=e[i];if(s instanceof h.Title){e[i]=\"above\"==v||\"below\"==v?[s,this._toolbar]:[this._toolbar,s],t=!1;break}}t&&e.push(this._toolbar)}const b=(e,t)=>{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<this.model.lod_interval?setTimeout((()=>{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&&r<o.start&&(s=!0,o.start=r,(e||a)&&(o.end=r-l))):(null!=t&&t>o.start&&(s=!0,o.start=t,(e||a)&&(o.end=t+l)),null!=r&&r<o.end&&(s=!0,o.end=r,(e||a)&&(o.start=r-l)))}}if(!(a&&s&&(null==n?void 0:n.maintain_focus)))for(const[n,e]of t)n.have_updated_interactively=!0,n.start==e.start&&n.end==e.end||n.setv(e)}_get_weight_to_constrain_interval(t,n){const{min_interval:e}=t;let{max_interval:a}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[n,e]=t.bounds;if(null!=n&&null!=e){const t=Math.abs(e-n);a=null!=a?Math.min(a,t):t}}let s=1;if(null!=e||null!=a){const o=Math.abs(t.end-t.start),r=Math.abs(n.end-n.start);null!=e&&e>0&&r<e&&(s=(o-e)/(o-r)),null!=a&&a>0&&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.index<this.history.length-1}}s.StateManager=a,a.__name__=\"StateManager\"},\n      function _(t,e,s,o,i){o();const a=t(19),n=t(15),p=t(43),l=t(78),_=t(22),h=t(332),m=new n.Signal0({},\"gmaps_ready\");class d extends h.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,!this.model.api_key){const t=\"https://developers.google.com/maps/documentation/javascript/get-api-key\";a.logger.error(`api_key is required. See ${t} for more information on how to obtain your own.`)}if(\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){const{api_key:t,api_version:e}=this.model;!function(t,e){window._bokeh_gmaps_callback=()=>m.emit();const s=encodeURIComponent,o=document.createElement(\"script\");o.type=\"text/javascript\",o.src=`https://maps.googleapis.com/maps/api/js?v=${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;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"Polygon\":{e.coordinates.length>1&&i.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPoint\":i.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=_(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&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<s.length;e++){const[r,n,a]=s[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=_(a)}break}default:throw new Error(`Invalid GeoJSON geometry type: ${e.type}`)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=u,s=u,u.__name__=\"GeoJSONDataSource\",s.define((({String: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)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>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<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,n]=(0,l.meters_extent_to_geographic)(_);return[s,r,o,n]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=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<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(`Invalid Quadkey: ${t}`)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=u,r=u,u.__name__=\"MercatorTileSource\",r.define((({Boolean:t})=>({snap_to_zoom:[t,!1],wrap_around:[t,!0]}))),r.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})},\n      function _(e,t,r,i,n){var l;i();const a=e(53),s=e(13);class c extends a.Model{constructor(e){super(e)}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,(()=>this._clear_cache()))}string_lookup_replace(e,t){let r=e;for(const[e,i]of(0,s.entries)(t))r=r.replace(`{${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);e<i;e++){const[i,s,_]=n[e],a=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const e of a){const[i,s,_,n]=e;t.tiles.has(t.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,n,!0)}}}_fetch_tiles(t){for(const e of t){const[t,i,s,_]=e;this._create_tile(t,i,s,_)}}_update(){const{tile_source:t}=this.model,{min_zoom:e}=t,{max_zoom:i}=t;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],n=this.map_frame.bbox.height,a=this.map_frame.bbox.width;let o=t.get_level_by_extent(s,n,a),r=!1;o<e?(s=this.extent,o=e,r=!0):o>i&&(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<s.length;e++){const t=s[e];o.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const s=e.columns();if(t&&s.length)for(const o of s){let s=e.get_array(o);const n=s.length-t+1;n<1||((0,c.isArray)(s)||(s=Array.from(s),e.data[o]=s),s.splice(0,n))}}_emit_cds_changes(e,t=!0,s=!0,o=!0){s&&e.selection_manager.clear(),t&&e.change.emit(),o&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,s=\"both\"){if(null==this._basepoint)return;const[o,n]=this._basepoint;for(const r of t){const t=this._map_drag(o,n,r),i=this._map_drag(e.sx,e.sy,r);if(null==i||null==t)continue;const[c,a]=i,[_,l]=t,[d,u]=[c-_,a-l],h=r.glyph,m=r.data_source,[p,f]=[h.x.field,h.y.field];for(const e of m.selected.indices)!p||\"width\"!=s&&\"both\"!=s||(m.data[p][e]+=d),!f||\"height\"!=s&&\"both\"!=s||(m.data[f][e]+=u);m.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const s of e.columns())(0,i.includes)(t,s)||e.get_array(s).push(this.model.empty_value)}_select_event(e,t,s){const o=this.plot_view.frame,{sx:n,sy:r}=e;if(!o.bbox.contains(n,r))return[];const i={type:\"point\",sx:n,sy:r},c=[];for(const e of s){const s=e.get_selection_manager(),o=e.data_source,n=this.plot_view.renderer_view(e);if(null!=n){s.select([n],i,!0,t)&&c.push(e),o.properties.selected.change.emit()}}return c}}s.EditToolView=d,d.__name__=\"EditToolView\";class u extends l.GestureTool{constructor(e){super(e)}get computed_icon(){var e;return null!==(e=this.custom_icon)&&void 0!==e?e:this.icon}}s.EditTool=u,r=u,u.__name__=\"EditTool\",r.define((({Unknown:e,String:t,Array:s,Ref:o,Nullable:n})=>({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;s<this.model.renderers.length;s++){const i=this.model.renderers[s],a=i.data_source,r=i.glyph,[o,n]=[r.xs.field,r.ys.field];if(o)for(const t of a.get_array(o))e.push(...t);if(n)for(const e of a.get_array(n))t.push(...e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,a]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(a){const e=t.data[a].length-1,s=t.get_array(a)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===o.Keys.Backspace?this._delete_selected(t):e.keyCode==o.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),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){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const a=this._map_drag(t,s,i),r=this._map_drag(e.sx,e.sy,i);if(null==r||null==a)continue;const o=i.data_source,n=i.glyph,[d,_]=[n.xs.field,n.ys.field];if(!d&&!_)continue;const[h,l]=r,[c,g]=a,[f,p]=[h-c,l-g];for(const e of o.selected.indices){let t,s,i;d&&(s=o.data[d][e]),_?(i=o.data[_][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=f),i&&(i[e]+=p)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,(()=>this._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<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.trigger_ranges_update_event()}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{x_scales:i,y_scales:n}=this.plot_view.frame,_=new Map;for(const[e,s]of i){const[i,n]=s.r_invert(t,o);_.set(e,{start:i,end:n})}const a=new Map;for(const[t,o]of n){const[i,n]=o.r_invert(e,s);a.set(t,{start:i,end:n})}const l={xrs:_,yrs:a};this.plot_view.state.push(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=h,h.__name__=\"BoxZoomToolView\";const c=()=>new 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;(n<t.start||n>t.end)&&(this.v_axis_only=!0),(e<s.start||e>s.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)<s}function c(e,t,i,s,n){let l=!0;if(null!=n.left&&null!=n.right){const t=i.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(e<n.bottom||e>n.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<t.end?(t.start=e,i):(t.start=t.end,t.end=e,d(i))}function m(e,t,i,s){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+i,l+i),o=g(e.start,e.end,s);g(a,r,s)>=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.start<n&&n<s.end,r=(\"height\"==h||\"both\"==h)&&i.start<l&&l<i.end;if(!(a&&r||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,d=(0,_.scale_range)(t,m,a,r,{x:n,y:l});this.plot_view.state.push(\"wheel_zoom\",{range:d});const{maintain_focus:c}=this.model;this.plot_view.update_range(d,{scrolling:!0,maintain_focus:c}),null===(o=this.model.document)||void 0===o||o.interactive_start(this.plot_model,(()=>this.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 a<c?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function H(e,t,n){return[[e[n],t[n]],n]}n._nearest_line_hit=G,n._line_hit=H;class z extends l.InspectToolView{initialize(){super.initialize(),this._ttmodels=new Map,this._ttviews=new Map}async lazy_initialize(){await super.lazy_initialize(),await this._update_ttmodels();const{tooltips:e}=this.model;e instanceof V.Template&&(this._template_view=await(0,S.build_view)(e,{parent:this}),this._template_view.render())}remove(){var e;null===(e=this._template_view)||void 0===e||e.remove(),(0,S.remove_views)(this._ttviews),super.remove()}connect_signals(){super.connect_signals();const e=this.plot_model.properties.renderers,{renderers:t,tooltips:n}=this.model.properties;this.on_change(n,(()=>delete 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 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     function _(t,o,e,n,s){var i;n();const l=t(15),c=t(53),r=t(224),a=t(232),u=t(234);class h extends c.Model{constructor(t){super(t)}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof a.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new l.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,(()=>this.doit())),this.connect(this.properties.active.change,(()=>this.set_active()));for(const t of this.tools)this.connect(t.properties.active.change,(()=>{this.active=t.active}))}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,n]of(0,u.enumerate)(t))if(null==e)o.push(null);else{const t=()=>{var t,o,e;for(const s of this.tools)null===(e=null===(o=null===(t=s.menu)||void 0===t?void 0:t[n])||void 0===o?void 0:o.handler)||void 0===e||e.call(o)};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=h,i=h,h.__name__=\"ToolProxy\",i.define((({Boolean:t,Array:o,Ref:e})=>({tools:[o(e(r.ButtonTool)),[]],active:[t,!1],disabled:[t,!1]})))},\n      function _(o,t,s,e,i){var n,r;e();const l=o(20),c=o(9),h=o(13),a=o(233),_=o(221),p=o(394),u=o(309),f=o(207);class y extends a.ToolbarBase{constructor(o){super(o)}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},e=[],i=[];for(const o of this.help)(0,c.includes)(i,o.redirect)||(e.push(o),i.push(o.redirect));this._proxied_tools.push(...e),this.help=e;for(const[o,t]of(0,h.entries)(this.gestures)){o in s||(s[o]={});for(const e of t.tools)e.type in 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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 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_.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 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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 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   // Line-line intersection: point0 + lambda0 dir0 = point1 + lambda1 dir1.\\n    // Not checking if lines are parallel!\\n    float lambda0 = cross_z(point1 - point0, dir1) / cross_z(dir0, dir1);\\n    return point0 + lambda0*dir0;\\n}\\n\\nfloat sign_no_zero(in float x)\\n{\\n    return x >= 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;e<t;e++)a[e]=r[e];this.update()}set_from_prop(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=r.get(t);this.update(r.is_Scalar())}set_from_scalar(r,t=4){this.get_sized_array(t).fill(r),this.update(!0)}to_attribute_config(r=0){return{buffer:this.buffer,divisor:this.is_scalar?0:1,normalized:this.is_normalized(),offset:r}}update(r=!1){null==this.buffer?this.buffer=this.regl_wrapper.buffer({usage:\"dynamic\",data:this.array}):this.buffer({data:this.array}),this.is_scalar=r}}n.__name__=\"WrappedBuffer\";class l extends n{new_array(r){return new Float32Array(r)}}a.Float32Buffer=l,l.__name__=\"Float32Buffer\";class o extends n{new_array(r){return new Uint8Array(r)}set_from_color(r,t,a=4){const e=r.is_Scalar()&&t.is_Scalar(),s=e?a:r.length,i=this.get_sized_array(4*s);for(let a=0;a<s;a++){const[e,s,n,l]=(0,_.color2rgba)(r.get(a),t.get(a));i[4*a]=e,i[4*a+1]=s,i[4*a+2]=n,i[4*a+3]=l}this.update(e)}set_from_hatch_pattern(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=(0,i.hatch_pattern_to_index)(r.get(t));this.update(r.is_Scalar())}set_from_line_cap(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=i.cap_lookup[r.get(t)];this.update(r.is_Scalar())}set_from_line_join(r,t=4){const a=r.is_Scalar()?t:r.length,e=this.get_sized_array(a);for(let t=0;t<a;t++)e[t]=i.join_lookup[r.get(t)];this.update(r.is_Scalar())}}a.Uint8Buffer=o,o.__name__=\"Uint8Buffer\";class h extends o{is_normalized(){return!0}}a.NormalizedUint8Buffer=h,h.__name__=\"NormalizedUint8Buffer\"},\n      422: function _(a,e,r,n,t){n();const i=a(52);r.cap_lookup={butt:0,round:1,square:2},r.join_lookup={miter:0,round:1,bevel:2};const o={blank:0,dot:1,ring:2,horizontal_line:3,vertical_line:4,cross:5,horizontal_dash:6,vertical_dash:7,spiral:8,right_diagonal_line:9,left_diagonal_line:10,diagonal_cross:11,right_diagonal_dash:12,left_diagonal_dash:13,horizontal_wave:14,vertical_wave:15,criss_cross:16};r.hatch_pattern_to_index=function(a){var e,r;return null!==(r=o[null!==(e=i.hatch_aliases[a])&&void 0!==e?e:a])&&void 0!==r?r:0},r.marker_type_to_size_hint=function(a){switch(a){case\"dash\":return 1;case\"dot\":return 2;case\"diamond\":case\"diamond_cross\":case\"diamond_dot\":return 3;case\"hex\":return 4;case\"square_pin\":return 5;case\"inverted_triangle\":case\"triangle\":case\"triangle_dot\":return 6;case\"triangle_pin\":return 7;case\"star\":case\"star_dot\":return 8;default:return 0}}},\n      423: function _(s,t,i,e,r){e();const h=s(421),_=s(424);class l extends _.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,i){this._draw_impl(s,i,t.glglyph,\"circle\")}_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=this._widths,this._angles=new h.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s),i=this._widths.get_sized_array(s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=_.SingleMarkerGL.missing_point,t[2*e+1]=_.SingleMarkerGL.missing_point),i[e]=2*this.glyph.sradius[e];this._centers.update(),this._widths.update(),this._angles.set_from_prop(this.glyph.angle)}}i.CircleGL=l,l.__name__=\"CircleGL\"},\n      424: function _(s,t,e,_,h){_();const a=s(419),i=s(421);class l extends a.BaseMarkerGL{constructor(s,t){super(s,t),this.glyph=t}_draw_impl(s,t,e,_){e.data_changed&&(e._set_data(),e.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const h=e.nvertices;null==this._show&&(this._show=new i.Uint8Buffer(this.regl_wrapper));const a=this._show.length,l=this._show.get_sized_array(h);if(s.length<h){this._show_all=!1;for(let s=0;s<h;s++)l[s]=0;for(let t=0;t<s.length;t++)l[s[t]]=255}else if(!this._show_all||a!=h){this._show_all=!0;for(let s=0;s<h;s++)l[s]=255}this._show.update(),this._draw_one_marker_type(_,t,e)}}e.SingleMarkerGL=l,l.__name__=\"SingleMarkerGL\"},\n      425: function _(s,t,e,i,h){i();const r=s(421),_=s(424);class l extends _.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,e){this._draw_impl(s,e,t.glglyph,\"hex\")}_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=new r.Float32Buffer(this.regl_wrapper),this._angles=new r.Float32Buffer(this.regl_wrapper));const t=this._centers.get_sized_array(2*s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=_.SingleMarkerGL.missing_point,t[2*e+1]=_.SingleMarkerGL.missing_point);this._centers.update(),\"pointytop\"==this.glyph.model.orientation?(this._angles.set_from_scalar(.5*Math.PI),this._widths.set_from_scalar(2*this.glyph.svy[0]),this._heights.set_from_scalar(4*this.glyph.svx[4]/Math.sqrt(3))):(this._angles.set_from_scalar(0),this._widths.set_from_scalar(2*this.glyph.svx[0]),this._heights.set_from_scalar(4*this.glyph.svy[4]/Math.sqrt(3)))}}e.HexTileGL=l,l.__name__=\"HexTileGL\"},\n      426: function _(s,i,t,h,e){h();const _=s(420),l=s(22),a=s(46),n=s(422),o=s(421);class r extends _.BaseGLGlyph{constructor(s,i){super(s,i),this.glyph=i,this._antialias=1.5,this._miter_limit=5}draw(s,i,t){const h=i.glglyph;this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),h.data_changed&&(h._set_data(),h.data_changed=!1);const e=this.glyph.visuals.line,_=n.cap_lookup[e.line_cap.value],l=n.join_lookup[e.line_join.value],a=h._points,o={scissor:this.regl_wrapper.scissor,viewport:this.regl_wrapper.viewport,canvas_size:[t.width,t.height],pixel_ratio:t.pixel_ratio,line_color:this._color,linewidth:this._linewidth,antialias:this._antialias,miter_limit:this._miter_limit,points:a,show:h._show,nsegments:a.length/2-3,line_join:l,line_cap:_};if(this._is_dashed()){const s=Object.assign(Object.assign({},o),{length_so_far:this._length_so_far,dash_tex:this._dash_tex,dash_tex_info:this._dash_tex_info,dash_scale:this._dash_scale,dash_offset:this._dash_offset});this.regl_wrapper.dashed_line()(s)}else this.regl_wrapper.solid_line()(o)}_is_dashed(){return this._line_dash.length>0}_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;i<s+1;i++)t[2*i]=this.glyph.sx[i-1],t[2*i+1]=this.glyph.sy[i-1];this._is_closed?(t[0]=t[2*s-2],t[1]=t[2*s-1],t[2*s+2]=t[4],t[2*s+3]=t[5]):(t[0]=0,t[1]=0,t[2*s+2]=0,t[2*s+3]=0),this._points.update(),null==this._show&&(this._show=new o.Uint8Buffer(this.regl_wrapper));const h=this._show.get_sized_array(s+1);let e=isFinite(this.glyph.sx[0])&&isFinite(this.glyph.sy[0]);for(let i=1;i<s;i++){const s=isFinite(this.glyph.sx[i])&&isFinite(this.glyph.sy[i]);h[i]=e&&s?1:0,e=s}if(this._is_closed?(h[0]=h[s-1],h[s]=h[1]):(h[0]=0,h[s]=0),this._show.update(),this._is_dashed()){null==this._length_so_far&&(this._length_so_far=new o.Float32Buffer(this.regl_wrapper));const s=this._length_so_far.get_sized_array(i);let e=0;for(let _=0;_<i;_++)s[_]=e,1==h[_+1]&&(e+=Math.sqrt((t[2*_+4]-t[2*_+2])**2+(t[2*_+5]-t[2*_+3])**2));this._length_so_far.update()}}_set_visuals(){const s=this.glyph.visuals.line,i=(0,l.color2rgba)(s.line_color.value,s.line_alpha.value);this._color=i.map((s=>s/255)),this._linewidth=s.line_width.value,this._linewidth<1&&(this._color[3]*=this._linewidth,this._linewidth=1),this._line_dash=(0,a.resolve_line_dash)(s.line_dash.value),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;r<s;r++){const s=this.glyph.sleft[r],h=this.glyph.sright[r],n=this.glyph.stop[r],_=this.glyph.sbottom[r];isFinite(s)&&isFinite(h)&&isFinite(n)&&isFinite(_)?(t[2*r]=(s+h)/2,t[2*r+1]=(n+_)/2,i[r]=Math.abs(n-_),e[r]=Math.abs(h-s)):(t[2*r]=a.SingleMarkerGL.missing_point,t[2*r+1]=a.SingleMarkerGL.missing_point,i[r]=a.SingleMarkerGL.missing_point,e[r]=a.SingleMarkerGL.missing_point)}this._centers.update(),this._heights.update(),this._widths.update()}}i.LRTBGL=n,n.__name__=\"LRTBGL\"},\n      428: function _(s,t,e,i,_){i();const h=s(419),r=s(421);class a extends h.BaseMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,e){const i=t.glglyph;i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1);const _=i.nvertices;null==this._show&&(this._show=new r.Uint8Buffer(this.regl_wrapper));const h=i._unique_marker_types.length;for(const t of i._unique_marker_types){if(null==t)continue;let r=_;const a=this._show.length,n=this._show.get_sized_array(_);if(h>1||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;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=h.BaseMarkerGL.missing_point,t[2*e+1]=h.BaseMarkerGL.missing_point);this._centers.update(),this._widths.set_from_prop(this.glyph.size),this._angles.set_from_prop(this.glyph.angle),this._marker_types=this.glyph.marker,this._unique_marker_types=[...new Set(this._marker_types)]}}e.MultiMarkerGL=a,a.__name__=\"MultiMarkerGL\"},\n      429: function _(s,t,e,i,r){i();const h=s(421),_=s(424);class l extends _.SingleMarkerGL{constructor(s,t){super(s,t),this.glyph=t}draw(s,t,e){this._draw_impl(s,e,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));const t=this._centers.get_sized_array(2*s);for(let e=0;e<s;e++)isFinite(this.glyph.sx[e])&&isFinite(this.glyph.sy[e])?(t[2*e]=this.glyph.sx[e],t[2*e+1]=this.glyph.sy[e]):(t[2*e]=_.SingleMarkerGL.missing_point,t[2*e+1]=_.SingleMarkerGL.missing_point);this._centers.update(),this._widths.set_from_array(this.glyph.sw),this._heights.set_from_array(this.glyph.sh),this._angles.set_from_prop(this.glyph.angle)}}e.RectGL=l,l.__name__=\"RectGL\"},\n      }, 409, {\"models/glyphs/webgl/main\":409,\"models/glyphs/webgl/index\":410,\"models/glyphs/webgl/regl_wrap\":411,\"models/glyphs/webgl/dash_cache\":413,\"models/glyphs/webgl/utils/math\":414,\"models/glyphs/webgl/regl_line.vert\":415,\"models/glyphs/webgl/regl_line.frag\":416,\"models/glyphs/webgl/marker.vert\":417,\"models/glyphs/webgl/marker.frag\":418,\"models/glyphs/webgl/base_marker\":419,\"models/glyphs/webgl/base\":420,\"models/glyphs/webgl/buffer\":421,\"models/glyphs/webgl/webgl_utils\":422,\"models/glyphs/webgl/circle\":423,\"models/glyphs/webgl/single_marker\":424,\"models/glyphs/webgl/hex_tile\":425,\"models/glyphs/webgl/line_gl\":426,\"models/glyphs/webgl/lrtb\":427,\"models/glyphs/webgl/multi_marker\":428,\"models/glyphs/webgl/rect\":429}, {});});\n\n      /* END bokeh-gl.min.js */\n    },\n    function(Bokeh) {\n      /* BEGIN bokeh-widgets.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      439: function _(t,e,i,o,r){o();const s=(0,t(1).__importStar)(t(440));i.Widgets=s;(0,t(7).register_models)(s)},\n      440: function _(t,e,r,o,u){o(),u(\"AbstractButton\",t(441).AbstractButton),u(\"AbstractIcon\",t(444).AbstractIcon),u(\"AutocompleteInput\",t(445).AutocompleteInput),u(\"Button\",t(450).Button),u(\"CheckboxButtonGroup\",t(451).CheckboxButtonGroup),u(\"CheckboxGroup\",t(454).CheckboxGroup),u(\"ColorPicker\",t(456).ColorPicker),u(\"DatePicker\",t(457).DatePicker),u(\"DateRangeSlider\",t(460).DateRangeSlider),u(\"DateSlider\",t(465).DateSlider),u(\"DatetimeRangeSlider\",t(466).DatetimeRangeSlider),u(\"Div\",t(467).Div),u(\"Dropdown\",t(470).Dropdown),u(\"FileInput\",t(471).FileInput),u(\"InputWidget\",t(448).InputWidget),u(\"Markup\",t(468).Markup),u(\"MultiSelect\",t(472).MultiSelect),u(\"Paragraph\",t(473).Paragraph),u(\"PasswordInput\",t(474).PasswordInput),u(\"MultiChoice\",t(475).MultiChoice),u(\"NumericInput\",t(478).NumericInput),u(\"PreText\",t(479).PreText),u(\"RadioButtonGroup\",t(480).RadioButtonGroup),u(\"RadioGroup\",t(481).RadioGroup),u(\"RangeSlider\",t(482).RangeSlider),u(\"Select\",t(483).Select),u(\"Slider\",t(484).Slider),u(\"Spinner\",t(485).Spinner),u(\"TextInput\",t(446).TextInput),u(\"TextAreaInput\",t(486).TextAreaInput),u(\"Toggle\",t(487).Toggle),u(\"Widget\",t(512).Widget)},\n      441: function _(t,e,n,i,s){i();const l=t(1);var o;const r=t(20),c=t(43),u=t(113),_=t(442),a=t(444),d=(0,l.__importStar)(t(318)),h=d;class b extends _.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await(0,u.build_view)(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,(()=>this.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;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(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.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let s;s=n?e=>e: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,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');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_${this.model.button_type}`]],disabled:this.model.disabled},t);return n.addEventListener(\"click\",(()=>this.change_active(e))),n})),this._update_active();const t=\"horizontal\"==this.model.orientation?_.horizontal:_.vertical,e=(0,d.div)({class:[_.btn_group,t]},this._buttons);this.el.appendChild(e)}}n.ButtonGroupView=c,c.__name__=\"ButtonGroupView\";class h extends a.OrientedControl{constructor(t){super(t)}}n.ButtonGroup=h,r=h,h.__name__=\"ButtonGroup\",r.define((({String:t,Array:e})=>({labels:[e(t),[]],button_type:[l.ButtonType,\"default\"]})))},\n      453: function _(n,t,e,o,r){var i;o();const a=n(442),l=n(20);class s extends a.ControlView{get orientation(){return this.model.orientation}}e.OrientedControlView=s,s.__name__=\"OrientedControlView\";class _ extends a.Control{constructor(n){super(n)}}e.OrientedControl=_,i=_,_.__name__=\"OrientedControl\",i.define((()=>({orientation:[l.Orientation,\"horizontal\"]})))},\n      454: function _(e,t,n,i,s){i();const o=e(1);var a;const c=e(455),l=e(43),d=e(9),p=(0,o.__importStar)(e(449));class r extends c.InputGroupView{render(){super.render();const e=(0,l.div)({class:[p.input_group,this.model.inline?p.inline:null]});this.el.appendChild(e);const{active:t,labels:n}=this.model;this._inputs=[];for(let i=0;i<n.length;i++){const s=(0,l.input)({type:\"checkbox\",value:`${i}`});s.addEventListener(\"change\",(()=>this.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<a;t++)for(var i in n=arguments[t])Object.prototype.hasOwnProperty.call(n,i)&&(e[i]=n[i]);return e},e.apply(this,arguments)};function n(){for(var e=0,n=0,t=arguments.length;n<t;n++)e+=arguments[n].length;var a=Array(e),i=0;for(n=0;n<t;n++)for(var o=arguments[n],r=0,l=o.length;r<l;r++,i++)a[i]=o[r];return a}var t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],a={_disable:[],_enable:[],allowInput:!1,allowInvalidPreload:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",autoFillDefaultTime:!0,clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof console&&console.warn(e)},getWeek:function(e){var n=new Date(e.getTime());n.setHours(0,0,0,0),n.setDate(n.getDate()+3-(n.getDay()+6)%7);var t=new Date(n.getFullYear(),0,4);return 1+Math.round(((n.getTime()-t.getTime())/864e5-3+(t.getDay()+6)%7)/7)},hourIncrement:1,ignoredFocusElements:[],inline:!1,locale:\"default\",minuteIncrement:5,mode:\"single\",monthSelectorType:\"dropdown\",nextArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' viewBox='0 0 17 17'><g></g><path d='M13.207 8.472l-7.854 7.854-0.707-0.707 7.146-7.146-7.146-7.148 0.707-0.707 7.854 7.854z' /></svg>\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' viewBox='0 0 17 17'><g></g><path d='M5.207 8.471l7.146 7.147-0.707 0.707-7.853-7.854 7.854-7.853 0.707 0.707-7.147 7.146z' 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l&&l.getTime()===t.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==t&&r.from&&r.to&&t.getTime()>=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;c<i;c+=y)X(new Date(c),!0)||(o=o||c>a&&c<i,c<t&&(!r||c>r)?r=c:c>t&&(!l||c<l)&&(l=c));for(var d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&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\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||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&&c<t&&l.top>t,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;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.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]&&a<t.length;a++)t[a](w.selectedDates,w.input.value,w,n);\"onChange\"===e&&(w.input.dispatchEvent(he(\"change\")),w.input.dispatchEvent(he(\"input\")))}}function he(e){var n=document.createEvent(\"Event\");return n.initEvent(e,!0,!0),n}function ve(e){for(var n=0;n<w.selectedDates.length;n++)if(0===M(w.selectedDates[n],e))return\"\"+n;return!1}function De(){w.config.noCalendar||w.isMobile||!w.monthNav||(w.yearElements.forEach((function(e,n){var t=new Date(w.currentYear,w.currentMonth,1);t.setMonth(w.currentMonth+n),w.config.showMonths>1||\"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.currentYear<w.config.minDate.getFullYear()),w._hideNextMonthArrow=void 0!==w.config.maxDate&&(w.currentYear===w.config.maxDate.getFullYear()?w.currentMonth+1>w.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<n.length;u++)w.config[n[u]]=!0===w.config[n[u]]||\"true\"===w.config[n[u]];for(t.filter((function(e){return void 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k.map(vt)},on:it,off:ot,get:gt,set:mt,setHandle:function(t,e,r,n){if(!((t=Number(t))>=0&&t<k.length))throw new Error(\"noUiSlider: invalid handle number, got: \"+t);ft(t,ht(e,t),!0,!0,n),st(\"update\",t),r&&st(\"set\",t)},reset:function(t){mt(r.start,t)},__moveHandles:function(t,e,r){ut(t,e,V,r)},options:n,updateOptions:function(t,e){var i=gt(),s=[\"margin\",\"limit\",\"padding\",\"range\",\"animate\",\"snap\",\"step\",\"format\",\"pips\",\"tooltips\"];s.forEach((function(e){void 0!==t[e]&&(n[e]=t[e])}));var a=G(n);s.forEach((function(e){void 0!==t[e]&&(r[e]=a[e])})),C=a.spectrum,r.margin=a.margin,r.limit=a.limit,r.padding=a.padding,r.pips?W(r.pips):I(),r.tooltips?B():_(),V=[],mt(o(t.start)?t.start:i,e)},target:w,removePips:I,removeTooltips:_,getPositions:function(){return V.slice()},getTooltips:function(){return v},getOrigins:function(){return p},pips:W};return bt}function K(t,e){if(!t||!t.nodeName)throw new Error(\"noUiSlider: create requires a single element, got: 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.noUi-touch-area{height:100%;width:100%;}.bk-root .noUi-state-tap .noUi-connect,.bk-root .noUi-state-tap .noUi-origin{-webkit-transition:transform 0.3s;transition:transform 0.3s;}.bk-root .noUi-state-drag *{cursor:inherit !important;}.bk-root .noUi-horizontal{height:18px;}.bk-root .noUi-horizontal .noUi-handle{width:34px;height:28px;right:-17px;top:-6px;}.bk-root .noUi-vertical{width:18px;}.bk-root .noUi-vertical .noUi-handle{width:28px;height:34px;right:-6px;top:-17px;}.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle{left:-17px;right:auto;}.bk-root .noUi-target{background:#FAFAFA;border-radius:4px;border:1px solid #D3D3D3;box-shadow:inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;}.bk-root .noUi-connects{border-radius:3px;}.bk-root .noUi-connect{background:#3FB8AF;}.bk-root .noUi-draggable{cursor:ew-resize;}.bk-root .noUi-vertical .noUi-draggable{cursor:ns-resize;}.bk-root .noUi-handle{border:1px solid #D9D9D9;border-radius:3px;background:#FFF;cursor:default;box-shadow:inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;}.bk-root .noUi-active{box-shadow:inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;}.bk-root .noUi-handle:before,.bk-root .noUi-handle:after{content:\"\";display:block;position:absolute;height:14px;width:1px;background:#E8E7E6;left:14px;top:6px;}.bk-root .noUi-handle:after{left:17px;}.bk-root .noUi-vertical .noUi-handle:before,.bk-root .noUi-vertical .noUi-handle:after{width:14px;height:1px;left:6px;top:14px;}.bk-root .noUi-vertical .noUi-handle:after{top:17px;}.bk-root [disabled] .noUi-connect{background:#B8B8B8;}.bk-root [disabled].noUi-target,.bk-root [disabled].noUi-handle,.bk-root [disabled] .noUi-handle{cursor:not-allowed;}.bk-root .noUi-pips,.bk-root .noUi-pips *{-moz-box-sizing:border-box;box-sizing:border-box;}.bk-root .noUi-pips{position:absolute;color:#999;}.bk-root .noUi-value{position:absolute;white-space:nowrap;text-align:center;}.bk-root .noUi-value-sub{color:#ccc;font-size:10px;}.bk-root 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.noUi-marker-vertical.noUi-marker{width:5px;height:2px;margin-top:-1px;}.bk-root .noUi-marker-vertical.noUi-marker-sub{width:10px;}.bk-root .noUi-marker-vertical.noUi-marker-large{width:15px;}.bk-root .noUi-tooltip{display:block;position:absolute;border:1px solid #D9D9D9;border-radius:3px;background:#fff;color:#000;padding:5px;text-align:center;white-space:nowrap;}.bk-root .noUi-horizontal .noUi-tooltip{-webkit-transform:translate(-50%, 0);transform:translate(-50%, 0);left:50%;bottom:120%;}.bk-root .noUi-vertical .noUi-tooltip{-webkit-transform:translate(0, -50%);transform:translate(0, -50%);top:50%;right:120%;}.bk-root .noUi-horizontal .noUi-origin > .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 i<t.length&&s.push(t.slice(i)),s.join(\"\")}contains_tex_string(){return!!this.provider.MathJax&&this.provider.MathJax.find_tex(this.model.text).length>0}}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 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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 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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;n<s;n+=1)t.push(new r(i[n],this.options));return{tokenSearchers:t,fullSearcher:new r(e,this.options)}}},{key:\"_search\",value:function(){var e=arguments.length>0&&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;r<o;r+=1)this._analyze({key:\"\",value:i[r],record:r,index:r},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t});return{weights:null,results:s}}for(var a={},c=0,l=i.length;c<l;c+=1)for(var 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n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var pe=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&de(t.prototype,i),n&&de(t,n),e}();function me(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var fe=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.delimiter;return(i=e.call(this,{element:n,classNames:s})||this).delimiter=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,n=o,(s=[{key:\"value\",get:function(){return this.element.value},set:function(e){var t=e.map((function(e){return e.value})).join(this.delimiter);this.element.setAttribute(\"value\",t),this.element.value=t}}])&&me(n.prototype,s),r&&me(n,r),o}(pe);function ve(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var ge=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.template;return(i=e.call(this,{element:n,classNames:s})||this).template=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,o.prototype.appendDocFragment=function(e){this.element.innerHTML=\"\",this.element.appendChild(e)},n=o,(s=[{key:\"placeholderOption\",get:function(){return this.element.querySelector('option[value=\"\"]')||this.element.querySelector(\"option[placeholder]\")}},{key:\"optionGroups\",get:function(){return Array.from(this.element.getElementsByTagName(\"OPTGROUP\"))}},{key:\"options\",get:function(){return Array.from(this.element.options)},set:function(e){var t=this,i=document.createDocumentFragment();e.forEach((function(e){return n=e,s=t.template(n),void i.appendChild(s);var n,s})),this.appendDocFragment(i)}}])&&ve(n.prototype,s),r&&ve(n,r),o}(pe),_e={containerOuter:function(e,t,i,n,s,r){var o=e.containerOuter,a=Object.assign(document.createElement(\"div\"),{className:o});return a.dataset.type=r,t&&(a.dir=t),n&&(a.tabIndex=0),i&&(a.setAttribute(\"role\",s?\"combobox\":\"listbox\"),s&&a.setAttribute(\"aria-autocomplete\",\"list\")),a.setAttribute(\"aria-haspopup\",\"true\"),a.setAttribute(\"aria-expanded\",\"false\"),a},containerInner:function(e){var t=e.containerInner;return Object.assign(document.createElement(\"div\"),{className:t})},itemList:function(e,t){var i=e.list,n=e.listSingle,s=e.listItems;return Object.assign(document.createElement(\"div\"),{className:i+\" \"+(t?n:s)})},placeholder:function(e,t){var i=e.placeholder;return Object.assign(document.createElement(\"div\"),{className:i,innerHTML:t})},item:function(e,t,i){var n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=\"Remove item\",_=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:g});_.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),_.dataset.button=\"\",v.appendChild(_)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"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<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var we=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Oe={},Ce=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=h.type===re,this._isSelectOneElement=h.type===oe,this._isSelectMultipleElement=h.type===ae,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new fe({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new ge({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return t+\"-\"+i.replace(/(:|\\.|\\[|\\]|,)/g,\"\")}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Oe},get templates(){return _e}})}}],(t=null)&&Se(e.prototype,t),i&&Se(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=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<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(Ie(!0))},r._stopLoading=function(){this._store.dispatch(Ie(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=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.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&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<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(_e,t)},r._createElements=function(){this.containerOuter=new ce({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new ce({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new he({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ue({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ue({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Ce}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=o():\"function\"==typeof define&&define.amd?define([],o):\"object\"==typeof i?i.Choices=o():r.Choices=o()},\n      477: function _(o,e,i,t,r){t(),i.root=\"bk-root\",i.default=\".bk-root{}.bk-root .choices{position:relative;margin-bottom:24px;font-size:16px;}.bk-root .choices:focus{outline:none;}.bk-root .choices:last-child{margin-bottom:0;}.bk-root .choices.is-disabled .choices__inner,.bk-root .choices.is-disabled .choices__input{background-color:#eaeaea;cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;}.bk-root .choices.is-disabled .choices__item{cursor:not-allowed;}.bk-root .choices [hidden]{display:none !important;}.bk-root .choices[data-type*='select-one']{cursor:pointer;}.bk-root .choices[data-type*='select-one'] .choices__inner{padding-bottom:7.5px;}.bk-root .choices[data-type*='select-one'] .choices__input{display:block;width:100%;padding:10px;border-bottom:1px solid #dddddd;background-color:#ffffff;margin:0;}.bk-root .choices[data-type*='select-one'] .choices__button{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);padding:0;background-size:8px;position:absolute;top:50%;right:0;margin-top:-10px;margin-right:25px;height:20px;width:20px;border-radius:10em;opacity:0.5;}.bk-root .choices[data-type*='select-one'] .choices__button:hover,.bk-root .choices[data-type*='select-one'] .choices__button:focus{opacity:1;}.bk-root .choices[data-type*='select-one'] .choices__button:focus{box-shadow:0px 0px 0px 2px #00bcd4;}.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button{display:none;}.bk-root .choices[data-type*='select-one']:after{content:'';height:0;width:0;border-style:solid;border-color:#333333 transparent transparent transparent;border-width:5px;position:absolute;right:11.5px;top:50%;margin-top:-2.5px;pointer-events:none;}.bk-root .choices[data-type*='select-one'].is-open:after{border-color:transparent transparent #333333 transparent;margin-top:-7.5px;}.bk-root .choices[data-type*='select-one'][dir='rtl']:after{left:11.5px;right:auto;}.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button{right:auto;left:0;margin-left:25px;margin-right:0;}.bk-root .choices[data-type*='select-multiple'] .choices__inner,.bk-root .choices[data-type*='text'] .choices__inner{cursor:text;}.bk-root .choices[data-type*='select-multiple'] .choices__button,.bk-root .choices[data-type*='text'] .choices__button{position:relative;display:inline-block;margin-top:0;margin-right:-4px;margin-bottom:0;margin-left:8px;padding-left:16px;border-left:1px solid #008fa1;background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);background-size:8px;width:8px;line-height:1;opacity:0.75;border-radius:0;}.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,.bk-root .choices[data-type*='text'] .choices__button:hover,.bk-root .choices[data-type*='text'] .choices__button:focus{opacity:1;}.bk-root .choices__inner{display:inline-block;vertical-align:top;width:100%;background-color:#f9f9f9;padding:7.5px 7.5px 3.75px;border:1px solid #dddddd;border-radius:2.5px;font-size:14px;min-height:44px;overflow:hidden;}.bk-root .is-focused .choices__inner,.bk-root .is-open .choices__inner{border-color:#b7b7b7;}.bk-root .is-open .choices__inner{border-radius:2.5px 2.5px 0 0;}.bk-root .is-flipped.is-open .choices__inner{border-radius:0 0 2.5px 2.5px;}.bk-root .choices__list{margin:0;padding-left:0;list-style:none;}.bk-root .choices__list--single{display:inline-block;padding:4px 16px 4px 4px;width:100%;}.bk-root [dir='rtl'] .choices__list--single{padding-right:4px;padding-left:16px;}.bk-root .choices__list--single .choices__item{width:100%;}.bk-root .choices__list--multiple{display:inline;}.bk-root .choices__list--multiple .choices__item{display:inline-block;vertical-align:middle;border-radius:20px;padding:4px 10px;font-size:12px;font-weight:500;margin-right:3.75px;margin-bottom:3.75px;background-color:#00bcd4;border:1px solid #00a5bb;color:#ffffff;word-break:break-all;box-sizing:border-box;}.bk-root .choices__list--multiple .choices__item[data-deletable]{padding-right:5px;}.bk-root [dir='rtl'] .choices__list--multiple .choices__item{margin-right:0;margin-left:3.75px;}.bk-root .choices__list--multiple .choices__item.is-highlighted{background-color:#00a5bb;border:1px solid #008fa1;}.bk-root .is-disabled .choices__list--multiple .choices__item{background-color:#aaaaaa;border:1px solid #919191;}.bk-root .choices__list--dropdown{visibility:hidden;z-index:1;position:absolute;width:100%;background-color:#ffffff;border:1px solid #dddddd;top:100%;margin-top:-1px;border-bottom-left-radius:2.5px;border-bottom-right-radius:2.5px;overflow:hidden;word-break:break-all;will-change:visibility;}.bk-root .choices__list--dropdown.is-active{visibility:visible;}.bk-root .is-open .choices__list--dropdown{border-color:#b7b7b7;}.bk-root .is-flipped .choices__list--dropdown{top:auto;bottom:100%;margin-top:0;margin-bottom:-1px;border-radius:0.25rem 0.25rem 0 0;}.bk-root .choices__list--dropdown .choices__list{position:relative;max-height:300px;overflow:auto;-webkit-overflow-scrolling:touch;will-change:scroll-position;}.bk-root .choices__list--dropdown .choices__item{position:relative;padding:10px;font-size:14px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item{text-align:right;}@media (min-width: 640px){.bk-root .choices__list--dropdown .choices__item--selectable{padding-right:100px;}.bk-root .choices__list--dropdown .choices__item--selectable:after{content:attr(data-select-text);font-size:12px;opacity:0;position:absolute;right:10px;top:50%;transform:translateY(-50%);}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable{text-align:right;padding-left:100px;padding-right:10px;}.bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after{right:auto;left:10px;}}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted{background-color:#f2f2f2;}.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after{opacity:0.5;}.bk-root .choices__item{cursor:default;}.bk-root .choices__item--selectable{cursor:pointer;}.bk-root .choices__item--disabled{cursor:not-allowed;-webkit-user-select:none;-ms-user-select:none;user-select:none;opacity:0.5;}.bk-root .choices__heading{font-weight:600;font-size:12px;padding:10px;border-bottom:1px solid #f7f7f7;color:gray;}.bk-root .choices__button{text-indent:-9999px;-webkit-appearance:none;-moz-appearance:none;appearance:none;border:0;background-color:transparent;background-repeat:no-repeat;background-position:center;cursor:pointer;}.bk-root .choices__button:focus{outline:none;}.bk-root .choices__input{display:inline-block;vertical-align:baseline;background-color:#f9f9f9;font-size:14px;margin-bottom:5px;border:0;border-radius:0;max-width:100%;padding:4px 0 4px 2px;}.bk-root .choices__input:focus{outline:0;}.bk-root [dir='rtl'] .choices__input{padding-right:2px;padding-left:0;}.bk-root .choices__placeholder{opacity:0.5;}.bk-root .choices{width:100%;}.bk-root .choices{box-sizing:border-box;}.bk-root .choices *,.bk-root .choices *:before,.bk-root .choices *:after{box-sizing:inherit;}.bk-root .choices__inner .choices__item.light{background-color:rgba(0, 126, 255, 0.08);border-radius:5px;border:1px solid rgba(0, 126, 255, 0.24);color:#007eff;}.bk-root .choices__inner .choices__item.solid{background-color:#1f77b4;border:none;border-radius:5px;color:white;}.bk-root .choices__inner .choices__item.solid .is-highlighted{background-color:#1f77b4;border:none;}.bk-root .choices__input{background-color:transparent;}.bk-root .choices__inner{background:transparent;border:1px solid darkgray;border-radius:5px;min-height:unset;}.bk-root .choices__list{white-space:initial;}.bk-root .choices__list--dropdown{z-index:100;}.bk-root .choices[data-type*=select-multiple] .choices__button.light{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);}.bk-root .choices[data-type*=select-multiple] .choices__button.solid{background-image:url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);border-left:1px solid white;opacity:1;}\"},\n      478: function _(e,t,l,i,n){i();const s=e(1);var u;const h=(0,s.__importStar)(e(153)),o=e(448),a=e(131),r=e(43),d=e(8),p=e(11),_=(0,s.__importStar)(e(449)),m=/^[-+]?\\d*$/,c=/^[-+]?\\d*\\.?\\d*(?:(?:\\d|\\d.)[eE][-+]?)*\\d*$/;class v extends o.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.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<t&&(this.model.value=t)})),this.connect(this.model.properties.high.change,(()=>{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):`${e}`}}l.NumericInput=g,u=g,g.__name__=\"NumericInput\",u.prototype.default_view=v,u.define((({Number:e,String:t,Enum:l,Ref:i,Or:n,Nullable:s})=>({value:[s(e),null],placeholder:[t,\"\"],mode:[l(\"int\",\"float\"),\"int\"],format:[s(n(t,i(a.TickFormatter))),null],low:[s(e),null],high:[s(e),null]})))},\n      479: function _(e,t,r,s,n){var a;s();const o=e(468),_=e(43);class p extends o.MarkupView{render(){super.render();const e=(0,_.pre)({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=p,p.__name__=\"PreTextView\";class u extends o.Markup{constructor(e){super(e)}}r.PreText=u,a=u,u.__name__=\"PreText\",a.prototype.default_view=p},\n      480: function _(t,o,e,a,i){a();const n=t(1);var u;const s=t(452),c=t(43),_=(0,n.__importStar)(t(318));class r extends s.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach(((o,e)=>{(0,c.classes)(o).toggle(_.active,t===e)}))}}e.RadioButtonGroupView=r,r.__name__=\"RadioButtonGroupView\";class l extends s.ButtonGroup{constructor(t){super(t)}}e.RadioButtonGroup=l,u=l,l.__name__=\"RadioButtonGroup\",u.prototype.default_view=r,u.define((({Int:t,Nullable:o})=>({active:[o(t),null]})))},\n      481: function _(e,n,i,t,a){t();const s=e(1);var l;const o=e(43),d=e(34),p=e(455),r=(0,s.__importStar)(e(449));class u extends p.InputGroupView{render(){super.render();const e=(0,o.div)({class:[r.input_group,this.model.inline?r.inline:null]});this.el.appendChild(e);const n=(0,d.uniqueId)(),{active:i,labels:t}=this.model;this._inputs=[];for(let a=0;a<t.length;a++){const s=(0,o.input)({type:\"radio\",name:n,value:`${a}`});s.addEventListener(\"change\",(()=>this.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 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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 ? 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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 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r.extend(!0,[],t)}i(t),this.hasDepth=function(){for(var n in t)if(t[n].hasOwnProperty(\"columns\"))return!0;return!1},this.getTreeColumns=function(){return t},this.extractColumns=function(){return this.hasDepth()?c(t):t},this.getDepth=function(){return s(t)},this.getColumnsInDepth=function(n){return l(t,n)},this.getColumnsInGroup=function(t){return c(t)},this.visibleColumns=function(){return o(h(),(function(){return this.visible}))},this.filter=function(t){return o(h(),t)},this.reOrder=function(n){return e(t,n)},this.getById=function(t){return n[t]},this.getInIds=function(t){return t.map((function(t){return n[t]}))}},keyCode:{SPACE:8,BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,A:65,C:67,V:86},preClickClassName:\"slick-edit-preclick\",GridAutosizeColsMode:{None:\"NOA\",LegacyOff:\"LOF\",LegacyForceFit:\"LFF\",IgnoreViewport:\"IGV\",FitColsToViewport:\"FCV\",FitViewportToCols:\"FVC\"},ColAutosizeMode:{Locked:\"LCK\",Guide:\"GUI\",Content:\"CON\",ContentIntelligent:\"CTI\"},RowSelectionMode:{FirstRow:\"FS1\",FirstNRows:\"FSN\",AllRows:\"ALL\",LastRow:\"LS1\"},ValueFilterMode:{None:\"NONE\",DeDuplicate:\"DEDP\",GetGreatestAndSub:\"GR8T\",GetLongestTextAndSub:\"LNSB\",GetLongestText:\"LNSC\"},WidthEvalMode:{CanvasTextSize:\"CANV\",HTML:\"HTML\"}}},\n      501: function _(e,t,o,l,n){var i=e(498),c=e(500);t.exports={CheckboxSelectColumn:function(e){var t,o=null,l=k(),n=new c.EventHandler,r={},d=!1,a=i.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function s(){t.updateColumnHeader(a.columnId,\"\",\"\")}function u(){i(\"#filter-checkbox-selectall-container\").hide()}function h(e,n){var c,s,u,h=t.getSelectedRows(),f={},p=0;if(\"function\"==typeof o)for(u=0;u<t.getDataLength();u++){C(s,t.getDataItem(u),t)||p++}var b=[];for(s=0;s<h.length;s++){c=h[s],C(s,t.getDataItem(c),t)?(f[c]=!0,f[c]!==r[c]&&(t.invalidateRow(c),delete r[c])):b.push(c)}for(s in r)t.invalidateRow(s);(r=f,t.render(),d=h.length&&h.length+p>=t.getDataLength(),a.hideInColumnTitleRow||a.hideSelectAllCheckbox||R(d),a.hideInFilterHeaderRow)||i(\"#header-filter-selector\"+l).prop(\"checked\",d);if(b.length>0){for(s=0;s<b.length;s++){var m=h.indexOf(b[s]);h.splice(m,1)}t.setSelectedRows(h)}}function f(e,o){32==e.which&&t.getColumns()[o.cell].id===a.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||b(o.row),e.preventDefault(),e.stopImmediatePropagation())}function p(e,o){if(t.getColumns()[o.cell].id===a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();b(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function b(e){var o=t.getDataItem(e);C(e,o,t)&&(r[e]?t.setSelectedRows(i.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===g){g=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==a.columnId&&(g=o)}return g}()))}function m(e,o){if(o.column.id==a.columnId&&i(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(i(e.target).is(\":checked\")){for(var l=[],n=0;n<t.getDataLength();n++){C(n,t.getDataItem(n),t)&&l.push(n)}t.setSelectedRows(l)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}\"function\"==typeof a.selectableOverride&&v(a.selectableOverride);var g=null;function k(){return Math.round(1e7*Math.random())}function w(e,t,o,l,n,i){var c=k()+e;return n&&C(e,n,i)?r[e]?\"<input id='selector\"+c+\"' type='checkbox' checked='checked'><label for='selector\"+c+\"'></label>\":\"<input id='selector\"+c+\"' type='checkbox'><label for='selector\"+c+\"'></label>\":null}function C(e,t,l){return\"function\"!=typeof o||o(e,t,l)}function R(e){e?t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox' checked='checked'><label for='header-selector\"+l+\"'></label>\",a.toolTip):t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",a.toolTip)}function v(e){o=e}i.extend(this,{init:function(e){t=e,n.subscribe(t.onSelectedRowsChanged,h).subscribe(t.onClick,p).subscribe(t.onKeyDown,f),a.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(i(t.node).empty(),i(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+l+\"' type='checkbox'><label for='header-filter-selector\"+l+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){m(e,t)})))}))}(e),a.hideInColumnTitleRow||n.subscribe(t.onHeaderClick,m)},destroy:function(){n.unsubscribeAll()},pluginName:\"CheckboxSelectColumn\",deSelectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]&&(n[n.length]=e[o]);t.setSelectedRows(i.grep(t.getSelectedRows(),(function(e){return n.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]||(n[n.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(n))},getColumnDefinition:function(){return{id:a.columnId,name:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+l+\"' type='checkbox'><label for='header-selector\"+l+\"'></label>\",toolTip:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":a.toolTip,field:\"sel\",width:a.width,resizable:!1,sortable:!1,cssClass:a.cssClass,hideSelectAllCheckbox:a.hideSelectAllCheckbox,formatter:w}},getOptions:function(){return a},selectableOverride:v,setOptions:function(e){if((a=i.extend(!0,{},a,e)).hideSelectAllCheckbox)s(),u();else if(a.hideInColumnTitleRow?s():(R(d),n.subscribe(t.onHeaderClick,m)),a.hideInFilterHeaderRow)u();else{var o=i(\"#filter-checkbox-selectall-container\");o.show(),o.find('input[type=\"checkbox\"]').prop(\"checked\",d)}}})}}},\n      502: function _(e,t,o,l,n){var a=e(498),r=e(500),i=r.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,l=this,n=e||{},s=n.copiedCellStyleLayerKey||\"copy-manager\",u=n.copiedCellStyle||\"copied\",c=0,d=n.bodyElement||document.body,f=n.onCopyInit||null,h=n.onCopySuccess||null;function C(e){if(n.headerColumnValueExtractor){var t=n.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,l){if(n.dataItemColumnValueExtractor){var r=n.dataItemColumnValueExtractor(e,o);if(r)return r}var i=\"\";if(o.editor){var s={container:a(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:l},u=new o.editor(s);u.loadValue(e),i=u.serializeValue(),u.destroy()}else i=e[o.field];return i}function g(e,o,l){if(o.denyPaste)return null;if(n.dataItemColumnValueSetter)return n.dataItemColumnValueSetter(e,o,l);if(o.editor){var r={container:a(\"body\"),column:o,position:{top:0,left:0},grid:t},i=new o.editor(r);i.loadValue(e),i.applyValue(e,l),i.destroy()}else e[o.field]=l}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,a){var r;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==i.ESC&&o&&(e.preventDefault(),w(),l.onCopyCancelled.notify({ranges:o}),o=null),(e.which===i.C||e.which===i.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!==(r=t.getSelectionModel().getSelectedRanges()).length)){o=r,v(r),l.onCopyCells.notify({ranges:r});for(var s=t.getColumns(),u=\"\",c=0;c<r.length;c++){for(var y=r[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(0===D.length&&n.includeHeaderWhenCopying){for(var E=[],V=y.fromCell;V<y.toCell+1;V++)s[V].name.length>0&&E.push(C(s[V]));D.push(E.join(\"\\t\"))}for(V=y.fromCell;V<y.toCell+1;V++)R.push(m(x,s[V],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===r.length?r[0].toRow+1-r[0].fromRow:r.length,h.call(this,I)}return!1}if(!n.readOnlyMode&&(e.which===i.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===i.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),a=t.value.split(/[\\n\\f\\r]/);\"\"===a[a.length-1]&&a.pop();var r=[],i=0;d.removeChild(t);for(var s=0;s<a.length;s++)\"\"!==a[s]?r[i++]=a[s].split(\"\\t\"):r[i++]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=r.length,y=r.length?r[0].length:0;1==r.length&&1==r[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&n.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(n.newRowCreator&&R){var x=h+p-e.getDataLength();n.newRowCreator(x)}var E={isClipboardCommand:!0,clippedRange:r,oldValues:[],cellExternalCopyManager:l,_options:n,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var i=e.getDataItem(n);this.oldValues[t][l]=i[o[a].field],m?this.setDataItemValueForColumn(i,o[a],r[0][0]):this.setDataItemValueForColumn(i,o[a],r[t]?r[t][l]:\"\"),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};n.clipboardCommandHandler?n.clipboardCommandHandler(E):E.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),n={},a=0;a<e.length;a++)for(var r=e[a].fromRow;r<=e[a].toRow;r++){n[r]={};for(var i=e[a].fromCell;i<=e[a].toCell&&i<o.length;i++)n[r][o[i].id]=u}t.setCellCssStyles(s,n),clearTimeout(c),c=setTimeout((function(){l.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}a.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},pluginName:\"CellExternalCopyManager\",clearCopySelection:w,handleKeyDown:y,onCopyCells:new r.Event,onCopyCancelled:new r.Event,onPasteCells:new r.Event,setIncludeHeaderWhenCopying:function(e){n.includeHeaderWhenCopying=e}})}}},\n      503: function _(r,t,o,_,e){var p=r(1);p.__exportStar(r(500),t.exports),p.__exportStar(r(504),t.exports),p.__exportStar(r(507),t.exports),p.__exportStar(r(508),t.exports),p.__exportStar(r(509),t.exports),p.__exportStar(r(510),t.exports),p.__exportStar(r(511),t.exports)},\n      504: function _(require,module,exports,__esModule,__esExport){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.4\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(498),Slick=require(500),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(505),$.fn.drop||require(506);var defaults={alwaysShowVerticalScroll:!1,alwaysAllowHorizontalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showColumnHeader:!0,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,frozenBottom:!1,frozenColumn:-1,frozenRow:-1,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1,doPaging:!0,autosizeColsMode:Slick.GridAutosizeColsMode.LegacyOff,autosizeColPaddingPx:4,autosizeTextAvgToMWidthRatio:.75,viewportSwitchToScrollModeWidthPercent:void 0,viewportMinWidthPx:void 0,viewportMaxWidthPx:void 0},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,maxWidth:void 0,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},columnAutosizeDefaults={ignoreHeaderText:!1,colValueArray:void 0,allowAddlPercent:void 0,formatterOverride:void 0,autosizeMode:Slick.ColAutosizeMode.ContentIntelligent,rowSelectionModeOnInit:void 0,rowSelectionMode:Slick.RowSelectionMode.FirstNRows,rowSelectionCount:100,valueFilterMode:Slick.ValueFilterMode.None,widthEvalMode:Slick.WidthEvalMode.CanvasTextSize,sizeToRemaining:void 0,widthPx:void 0,colDataTypeOf:void 0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$groupHeaders=$(),$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacerL,$headerRowSpacerR,$footerRow,$footerRowScroller,$footerRowSpacerL,$footerRowSpacerR,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$preHeaderPanelR,$preHeaderPanelScrollerR,$preHeaderPanelSpacerR,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,treeColumns,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,canvasWidthL,canvasWidthR,headersWidth,headersWidthL,headersWidthR,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,hasFrozenRows=!1,frozenRowsHeight=0,actualFrozenRow=-1,paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,topPanelH=0,headerRowH=0,footerRowH=0,tabbingDirection=1,$activeCanvasNode,$activeViewportNode,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows=0,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,$paneHeaderL,$paneHeaderR,$paneTopL,$paneTopR,$paneBottomL,$paneBottomR,$headerScrollerL,$headerScrollerR,$headerL,$headerR,$groupHeadersL,$groupHeadersR,$headerRowScrollerL,$headerRowScrollerR,$footerRowScrollerL,$footerRowScrollerR,$headerRowL,$headerRowR,$footerRowL,$footerRowR,$topPanelScrollerL,$topPanelScrollerR,$topPanelL,$topPanelR,$viewportTopL,$viewportTopR,$viewportBottomL,$viewportBottomR,$canvasTopL,$canvasTopR,$canvasBottomL,$canvasBottomR,$viewportScrollContainerX,$viewportScrollContainerY,$headerScrollContainer,$headerRowScrollContainer,$footerRowScrollContainer,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");if(cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,treeColumns=new Slick.TreeColumns(columns),columns=treeColumns.extractColumns(),updateColumnProps(),options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");if(editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),$paneHeaderL=$(\"<div class='slick-pane slick-pane-header slick-pane-left' tabIndex='0' />\").appendTo($container),$paneHeaderR=$(\"<div class='slick-pane slick-pane-header slick-pane-right' tabIndex='0' />\").appendTo($container),$paneTopL=$(\"<div class='slick-pane slick-pane-top slick-pane-left' tabIndex='0' />\").appendTo($container),$paneTopR=$(\"<div class='slick-pane slick-pane-top slick-pane-right' tabIndex='0' />\").appendTo($container),$paneBottomL=$(\"<div class='slick-pane slick-pane-bottom slick-pane-left' tabIndex='0' />\").appendTo($container),$paneBottomR=$(\"<div class='slick-pane slick-pane-bottom slick-pane-right' tabIndex='0' />\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderL),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),$preHeaderPanelScrollerR=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderR),$preHeaderPanelR=$(\"<div />\").appendTo($preHeaderPanelScrollerR),$preHeaderPanelSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScrollerR),options.showPreHeaderPanel||($preHeaderPanelScroller.hide(),$preHeaderPanelScrollerR.hide())),$headerScrollerL=$(\"<div class='slick-header ui-state-default slick-header-left' />\").appendTo($paneHeaderL),$headerScrollerR=$(\"<div class='slick-header ui-state-default slick-header-right' />\").appendTo($paneHeaderR),$headerScroller=$().add($headerScrollerL).add($headerScrollerR),treeColumns.hasDepth()){$groupHeadersL=[],$groupHeadersR=[];for(var e=0;e<treeColumns.getDepth()-1;e++)$groupHeadersL[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$groupHeadersR[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR);$groupHeaders=$().add($groupHeadersL).add($groupHeadersR)}$headerL=$(\"<div class='slick-header-columns slick-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$headerR=$(\"<div class='slick-header-columns slick-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR),$headers=$().add($headerL).add($headerR),$headerRowScrollerL=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopL),$headerRowScrollerR=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopR),$headerRowScroller=$().add($headerRowScrollerL).add($headerRowScrollerR),$headerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerL),$headerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerR),$headerRowL=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-left' />\").appendTo($headerRowScrollerL),$headerRowR=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-right' />\").appendTo($headerRowScrollerR),$headerRow=$().add($headerRowL).add($headerRowR),$topPanelScrollerL=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopL),$topPanelScrollerR=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopR),$topPanelScroller=$().add($topPanelScrollerL).add($topPanelScrollerR),$topPanelL=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerL),$topPanelR=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerR),$topPanel=$().add($topPanelL).add($topPanelR),options.showColumnHeader||$headerScroller.hide(),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),$viewportTopL=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneTopL),$viewportTopR=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneTopR),$viewportBottomL=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneBottomL),$viewportBottomR=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneBottomR),$viewport=$().add($viewportTopL).add($viewportTopR).add($viewportBottomL).add($viewportBottomR),$activeViewportNode=$viewportTopL,$canvasTopL=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportTopL),$canvasTopR=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportTopR),$canvasBottomL=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportBottomL),$canvasBottomR=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportBottomR),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$().add($canvasTopL).add($canvasTopR).add($canvasBottomL).add($canvasBottomR),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$activeCanvasNode=$canvasTopL,$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacerL.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headerRowSpacerR.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScrollerR=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopR),$footerRowScrollerL=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopL),$footerRowScroller=$().add($footerRowScrollerL).add($footerRowScrollerR),$footerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerL),$footerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerR),$footerRowL=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-left' />\").appendTo($footerRowScrollerL),$footerRowR=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-right' />\").appendTo($footerRowScrollerR),$footerRow=$().add($footerRowL).add($footerRowR),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,getViewportWidth(),getViewportHeight(),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),setFrozenOptions(),setPaneVisibility(),setScroller(),setOverflow(),updateColumnCaches(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$.fn.mousewheel&&$viewport.on(\"mousewheel\",handleMouseWheel),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&($footerRow.on(\"contextmenu\",handleFooterContextMenu).on(\"click\",handleFooterClick),$footerRowScroller.on(\"scroll\",handleFooterRowScroll)),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function hasFrozenColumns(){return options.frozenColumn>-1}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function getPluginByName(e){for(var o=plugins.length-1;o>=0;o--)if(plugins[o].pluginName===e)return plugins[o]}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(e,o){e||(e=0),o||(o=0);var t=\"number\"==typeof e?e:getColumnIndex(e);return hasFrozenRows&&o>=actualFrozenRow+(options.frozenBottom?0:1)?hasFrozenColumns()&&t>options.frozenColumn?$canvasBottomR[0]:$canvasBottomL[0]:hasFrozenColumns()&&t>options.frozenColumn?$canvasTopR[0]:$canvasTopL[0]}function getActiveCanvasNode(e){return setActiveCanvasNode(e),$activeCanvasNode[0]}function getCanvases(){return $canvas}function setActiveCanvasNode(e){e&&($activeCanvasNode=$(e.target).closest(\".grid-canvas\"))}function getViewportNode(){return $viewport[0]}function getActiveViewportNode(e){return setActiveViewPortNode(e),$activeViewportNode[0]}function setActiveViewportNode(e){e&&($activeViewportNode=$(e.target).closest(\".slick-viewport\"))}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo(\"body\"),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getHeadersWidth(){headersWidth=headersWidthL=headersWidthR=0;for(var e=!options.autoHeight,o=0,t=columns.length;o<t;o++){var n=columns[o].width;options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=n:headersWidthL+=n}return e&&(options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=scrollbarDimensions.width:headersWidthL+=scrollbarDimensions.width),hasFrozenColumns()?(headersWidthL+=1e3,headersWidthR=Math.max(headersWidthR,viewportW)+headersWidthL,headersWidthR+=scrollbarDimensions.width):(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidth=headersWidthL+headersWidthR,Math.max(headersWidth,viewportW)+1e3}function getHeadersWidthL(){return headersWidthL=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn||(headersWidthL+=e.width)})),hasFrozenColumns()?headersWidthL+=1e3:(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidthL}function getHeadersWidthR(){return headersWidthR=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn&&(headersWidthR+=e.width)})),hasFrozenColumns()&&(headersWidthR=Math.max(headersWidthR,viewportW)+getHeadersWidthL(),headersWidthR+=scrollbarDimensions.width),headersWidthR}function getCanvasWidth(){var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=columns.length;for(canvasWidthL=canvasWidthR=0;o--;)hasFrozenColumns()&&o>options.frozenColumn?canvasWidthR+=columns[o].width:canvasWidthL+=columns[o].width;var t=canvasWidthL+canvasWidthR;return options.fullWidthRows?Math.max(t,e):t}function updateCanvasWidth(e){var o,t=canvasWidth,n=canvasWidthL,l=canvasWidthR;((o=(canvasWidth=getCanvasWidth())!==t||canvasWidthL!==n||canvasWidthR!==l)||hasFrozenColumns()||hasFrozenRows)&&($canvasTopL.width(canvasWidthL),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),hasFrozenColumns()?($canvasTopR.width(canvasWidthR),$paneHeaderL.width(canvasWidthL),$paneHeaderR.css(\"left\",canvasWidthL),$paneHeaderR.css(\"width\",viewportW-canvasWidthL),$paneTopL.width(canvasWidthL),$paneTopR.css(\"left\",canvasWidthL),$paneTopR.css(\"width\",viewportW-canvasWidthL),$headerRowScrollerL.width(canvasWidthL),$headerRowScrollerR.width(viewportW-canvasWidthL),$headerRowL.width(canvasWidthL),$headerRowR.width(canvasWidthR),options.createFooterRow&&($footerRowScrollerL.width(canvasWidthL),$footerRowScrollerR.width(viewportW-canvasWidthL),$footerRowL.width(canvasWidthL),$footerRowR.width(canvasWidthR)),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$viewportTopL.width(canvasWidthL),$viewportTopR.width(viewportW-canvasWidthL),hasFrozenRows&&($paneBottomL.width(canvasWidthL),$paneBottomR.css(\"left\",canvasWidthL),$viewportBottomL.width(canvasWidthL),$viewportBottomR.width(viewportW-canvasWidthL),$canvasBottomL.width(canvasWidthL),$canvasBottomR.width(canvasWidthR))):($paneHeaderL.width(\"100%\"),$paneTopL.width(\"100%\"),$headerRowScrollerL.width(\"100%\"),$headerRowL.width(canvasWidth),options.createFooterRow&&($footerRowScrollerL.width(\"100%\"),$footerRowL.width(canvasWidth)),options.createPreHeaderPanel&&($preHeaderPanel.width(\"100%\"),$preHeaderPanel.width(canvasWidth)),$viewportTopL.width(\"100%\"),hasFrozenRows&&($viewportBottomL.width(\"100%\"),$canvasBottomL.width(canvasWidthL))),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width),$headerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$headerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),options.createFooterRow&&($footerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$footerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0))),(o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var n=2*e;if(t.css(\"height\",n),n>o||t.height()!==n)break;e=n}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=hasFrozenRows&&!options.frozenBottom?$canvasBottomL[0]:$canvasTopL[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewportTopL[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var n=getColumnIndex(e);if(null!=n){var l=columns[n],r=$headers.children().eq(n);r&&(void 0!==o&&(columns[n].name=o),void 0!==t&&(columns[n].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:l,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:l,grid:self}))}}}function getHeader(e){if(!e)return hasFrozenColumns()?$headers:$headerL;var o=getColumnIndex(e.id);return hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL,n=hasFrozenColumns()?o<=options.frozenColumn?o:o-options.frozenColumn-1:o,l=t.children().eq(n);return l&&l[0]}function getHeaderRow(){return hasFrozenColumns()?$headerRow:$headerRow[0]}function getFooterRow(){return hasFrozenColumns()?$footerRow:$footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getPreHeaderPanelRight(){return $preHeaderPanelR[0]}function getHeaderRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$headerRowL:(o=$headerRowR,t-=options.frozenColumn+1):o=$headerRowL;var n=o.children().eq(t);return n&&n[0]}function getFooterRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$footerRowL:(o=$footerRowR,t-=options.frozenColumn+1):o=$footerRowL;var n=o&&o.children().eq(t);return n&&n[0]}function createColumnFooter(){if(options.createFooterRow){$footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),$footerRowR.empty();for(var e=0;e<columns.length;e++){var o=columns[e],t=$(\"<div class='ui-state-default slick-footerrow-column l\"+e+\" r\"+e+\"'></div>\").data(\"column\",o).addClass(hasFrozenColumns()&&e<=options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e>options.frozenColumn?$footerRowR:$footerRowL);trigger(self.onFooterRowCellRendered,{node:t[0],column:o,grid:self})}}}function createColumnGroupHeaders(){var e=0,o=!1;if(treeColumns.hasDepth()){for(var t=0;t<$groupHeadersL.length;t++){$groupHeadersL[t].empty(),$groupHeadersR[t].empty();var n=treeColumns.getColumnsInDepth(t);for(var l in n){var r=n[l];e+=r.extractColumns().length,hasFrozenColumns()&&0===t&&e-1===options.frozenColumn&&(o=!0),$(\"<div class='ui-state-default slick-group-header-column' />\").html(\"<span class='slick-column-name'>\"+r.name+\"</span>\").attr(\"id\",\"\"+uid+r.id).attr(\"title\",r.toolTip||\"\").data(\"column\",r).addClass(r.headerCssClass||\"\").addClass(hasFrozenColumns()&&e-1>options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e-1>options.frozenColumn?$groupHeadersR[t]:$groupHeadersL[t])}if(hasFrozenColumns()&&0===t&&!o){$groupHeadersL[t].empty(),$groupHeadersR[t].empty(),alert(\"All columns of group should to be grouped!\");break}}applyColumnGroupHeaderWidths()}}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headerL.empty(),$headerR.empty(),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRowL.empty(),$headerRowR.empty(),options.createFooterRow&&($footerRowL.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),hasFrozenColumns()&&($footerRowR.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowR.empty()));for(var t=0;t<columns.length;t++){var n=columns[t],l=hasFrozenColumns()?t<=options.frozenColumn?$headerL:$headerR:$headerL,r=hasFrozenColumns()?t<=options.frozenColumn?$headerRowL:$headerRowR:$headerRowL,i=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+n.name+\"</span>\").width(n.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+n.id).attr(\"title\",n.toolTip||\"\").data(\"column\",n).addClass(n.headerCssClass||\"\").addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(l);if((options.enableColumnReorder||n.sortable)&&i.on(\"mouseenter\",e).on(\"mouseleave\",o),n.hasOwnProperty(\"headerCellAttrs\")&&n.headerCellAttrs instanceof Object)for(var a in n.headerCellAttrs)n.headerCellAttrs.hasOwnProperty(a)&&i.attr(a,n.headerCellAttrs[a]);if(n.sortable&&(i.addClass(\"slick-header-sortable\"),i.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&i.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:i[0],column:n,grid:self}),options.showHeaderRow){var s=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(r);trigger(self.onHeaderRowCellRendered,{node:s[0],column:n,grid:self})}if(options.createFooterRow&&options.showFooterRow){var d=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:d[0],column:n,grid:self})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var n=null,l=0;l<sortColumns.length;l++)if(sortColumns[l].columnId==t.id){(n=sortColumns[l]).sortAsc=!n.sortAsc;break}var r=!!n;options.tristateMultiColumnSort?(n||(n={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&n.sortAsc&&(sortColumns.splice(l,1),n=null),options.multiColumnSort||(sortColumns=[]),!n||r&&options.multiColumnSort||sortColumns.push(n)):e.metaKey&&options.multiColumnSort?n&&sortColumns.splice(l,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),n?0===sortColumns.length&&sortColumns.push(n):(n={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(n))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{columnId:columns[getColumnIndex(e.columnId)].id,sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,columnId:sortColumns.length>0?t.id:null,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function currentPositionInHeader(e){var o=0;return $headers.find(\".slick-header-column\").each((function(t){if(this.id==e)return o=t,!1})),o}function limitPositionInGroup(e){var o,t=0,n=0;return treeColumns.getColumnsInDepth($groupHeadersL.length-1).some((function(l){return t=n,n+=l.columns.length,l.columns.some((function(t){return t.id===e&&(o=l),o})),o})),n--,{start:t,end:n,group:o}}function remove(e,o){var t=e.lastIndexOf(o);t>-1&&(e.splice(t,1),remove(e,o))}function columnPositionValidInGroup(e){var o=currentPositionInHeader(e[0].id),t=limitPositionInGroup(e.data(\"column\").id),n=t.start<=o&&o<=t.end;return{limit:t,valid:n,message:n?\"\":'Column \"'.concat(e.text(),'\" can be reordered only within the \"',t.group.name,'\" group!')}}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\");var e,o=null;function t(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft+10}function n(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft-10}$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(o,t){t.placeholder.width(t.helper.outerWidth()-headerColumnWidthDiff),e=!hasFrozenColumns()||t.placeholder.offset().left+t.placeholder.width()>$viewportScrollContainerX.offset().left,$(t.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},sort:function(l,r){e&&l.originalEvent.pageX>$container[0].clientWidth?o||(o=setInterval(t,100)):e&&l.originalEvent.pageX<$viewportScrollContainerX.offset().left?o||(o=setInterval(n,100)):(clearInterval(o),o=null)},stop:function(e,t){var n=!1;clearInterval(o),o=null;var l=null;if(treeColumns.hasDepth()){var r=columnPositionValidInGroup(t.item);l=r.limit,(n=!r.valid)&&alert(r.message)}if(!n&&getEditorLock().commitCurrentEdit()){var i=$headerL.sortable(\"toArray\");i=i.concat($headerR.sortable(\"toArray\"));for(var a=[],s=0;s<i.length;s++)a.push(columns[getColumnIndex(i[s].replace(uid,\"\"))]);setColumns(a),trigger(self.onColumnsReordered,{impactedColumns:getImpactedColumns(l)}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function getImpactedColumns(e){var o=[];if(e)for(var t=e.start;t<=e.end;t++)o.push(columns[t]);else o=columns;return o}function setupColumnResize(){var e,o,t,n,l,r,i,a,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===a&&(a=e),s=e)})),void 0!==a&&l.each((function(d,c){d>=columns.length||d<a||options.forceFitColumns&&d>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(o,a){if(!getEditorLock().commitCurrentEdit())return!1;n=o.pageX,$(this).parent().addClass(\"slick-header-column-active\");var s=null,c=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(s=0,c=0,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(null!==c&&(t.maxWidth?c+=t.maxWidth-t.previousWidth:c=null),s+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=d;e++)(t=columns[e]).resizable&&(null!==h&&(t.maxWidth?h+=t.maxWidth-t.previousWidth:h=null),u+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));null===s&&(s=1e5),null===u&&(u=1e5),null===c&&(c=1e5),null===h&&(h=1e5),i=n+Math.min(s,h),r=n-Math.min(u,c)})).on(\"drag\",(function(l,a){columnResizeDragging=!0;var s,c,u=Math.min(i,Math.max(r,l.pageX))-n,h=0;if(u<0){for(c=u,e=d;e>=0;e--)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0))}else{for(c=u,h=0,0,e=d;e>=0;e--)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width}hasFrozenColumns()&&h!=canvasWidthL&&($headerL.width(h+1e3),$paneHeaderR.css(\"left\",h)),applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths(),trigger(self.onColumnsDrag,{triggeredByColumn:$(this).parent().attr(\"id\").replace(uid,\"\"),resizeHandle:$(this)})})).on(\"dragend\",(function(o,n){$(this).parent().removeClass(\"slick-header-column-active\");var r,i=$(this).parent().attr(\"id\").replace(uid,\"\");for(!0===trigger(self.onBeforeColumnsResize,{triggeredByColumn:i})&&(applyColumnHeaderWidths(),applyColumnGroupHeaderWidths()),e=0;e<columns.length;e++)t=columns[e],r=$(l[e]).outerWidth(),t.previousWidth!==r&&t.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{triggeredByColumn:i}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return e&&\"function\"==typeof e.css&&$.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,n){o+=parseFloat(e.css(n))||0})),o}function setFrozenOptions(){if(options.frozenColumn=options.frozenColumn>=0&&options.frozenColumn<columns.length?parseInt(options.frozenColumn):-1,options.frozenRow>-1){hasFrozenRows=!0,frozenRowsHeight=options.frozenRow*options.rowHeight;var e=getDataLength();actualFrozenRow=options.frozenBottom?e-options.frozenRow:options.frozenRow}else hasFrozenRows=!1}function setPaneVisibility(){hasFrozenColumns()?($paneHeaderR.show(),$paneTopR.show(),hasFrozenRows?($paneBottomL.show(),$paneBottomR.show()):($paneBottomR.hide(),$paneBottomL.hide())):($paneHeaderR.hide(),$paneTopR.hide(),$paneBottomR.hide(),hasFrozenRows?$paneBottomL.show():($paneBottomR.hide(),$paneBottomL.hide()))}function setOverflow(){$viewportTopL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportTopR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),hasFrozenRows?\"scroll\":\"auto\")}),$viewportBottomL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportBottomR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),\"auto\")}),options.viewportClass&&($viewportTopL.toggleClass(options.viewportClass,!0),$viewportTopR.toggleClass(options.viewportClass,!0),$viewportBottomL.toggleClass(options.viewportClass,!0),$viewportBottomR.toggleClass(options.viewportClass,!0))}function setScroller(){hasFrozenColumns()?($headerScrollContainer=$headerScrollerR,$headerRowScrollContainer=$headerRowScrollerR,$footerRowScrollContainer=$footerRowScrollerR,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomR,$viewportScrollContainerY=$viewportTopR):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomR:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopR):($headerScrollContainer=$headerScrollerL,$headerRowScrollContainer=$headerRowScrollerL,$footerRowScrollContainer=$footerRowScrollerL,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomL,$viewportScrollContainerY=$viewportTopL):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomL:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopL)}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],n=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==n[0]&&n[1]>=8||n[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var l=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(l),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),l.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-group-header-column { left: 1000px; }\",\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var n,l,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(n=/\\.l\\d+/.exec(i))?(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesL[l]=r[o]):(n=/\\.r\\d+/.exec(i))&&(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesR[l]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}var canvas=null,canvas_context=null;function autosizeColumn(e,o){var t=e;if(\"number\"==typeof e)t=columns[e];else if(\"string\"==typeof e)for(var n=0;n<columns.length;n++)columns[n].Id===e&&(t=columns[n]);getColAutosizeWidth(t,$(getCanvasNode(0,0)),o)}function autosizeColumns(e,o){if((e=e||options.autosizeColsMode)!==Slick.GridAutosizeColsMode.LegacyForceFit&&e!==Slick.GridAutosizeColsMode.LegacyOff){if(e!==Slick.GridAutosizeColsMode.None){(canvas=document.createElement(\"canvas\"))&&canvas.getContext&&(canvas_context=canvas.getContext(\"2d\"));var t,n,l,r,i=$(getCanvasNode(0,0)),a=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,s=0,d=0,c=0,u=0,h=0;for(t=0;t<columns.length;t++)getColAutosizeWidth(n=columns[t],i,o),h+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:0,u+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:n.minWidth,s+=n.autoSize.widthPx,d+=n.autoSize.sizeToRemaining?0:n.autoSize.widthPx,c+=n.autoSize.sizeToRemaining&&n.minWidth||0;var p=s-d;if(e===Slick.GridAutosizeColsMode.FitViewportToCols){var m=s+scrollbarDimensions.width;e=Slick.GridAutosizeColsMode.IgnoreViewport,options.viewportMaxWidthPx&&m>options.viewportMaxWidthPx?(m=options.viewportMaxWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport):options.viewportMinWidthPx&&m<options.viewportMinWidthPx&&(m=options.viewportMinWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport),$container.width(m)}if(e===Slick.GridAutosizeColsMode.FitColsToViewport)if(p>0&&d<a-c)for(t=0;t<columns.length;t++){var w=a-d;l=(n=columns[t]).autoSize.sizeToRemaining?w*n.autoSize.widthPx/p:n.autoSize.widthPx,n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}else if(options.viewportSwitchToScrollModeWidthPercent&&d+c>a*options.viewportSwitchToScrollModeWidthPercent/100||u>a)e=Slick.GridAutosizeColsMode.IgnoreViewport;else{var v=d-h,f=a-h-c;for(t=0;t<columns.length;t++)l=(n=columns[t]).width,n.autoSize.autosizeMode!==Slick.ColAutosizeMode.Locked&&(n.autoSize.sizeToRemaining?l=n.minWidth:((l=f/v*n.autoSize.widthPx)<n.minWidth&&(l=n.minWidth),v-=n.autoSize.widthPx,f-=l)),n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}if(e===Slick.GridAutosizeColsMode.IgnoreViewport)for(t=0;t<columns.length;t++)l=columns[t].autoSize.widthPx,columns[t].rerenderOnResize&&columns[t].width!=l&&(r=!0),columns[t].width=l;reRenderColumns(r)}}else legacyAutosizeColumns()}function LogColWidths(){for(var e=\"Col Widths:\",o=0;o<columns.length;o++)e+=\" \"+columns[o].width;console.log(e)}function getColAutosizeWidth(e,o,t){var n=e.autoSize;if(n.widthPx=e.width,n.autosizeMode!==Slick.ColAutosizeMode.Locked&&n.autosizeMode!==Slick.ColAutosizeMode.Guide){var l=getDataLength();if(n.autosizeMode===Slick.ColAutosizeMode.ContentIntelligent){var r,i=n.colDataTypeOf;if(l>0){var a=getDataItem(0);a&&\"object\"===(i=typeof(r=a[e.field]))&&(r instanceof Date&&(i=\"date\"),\"undefined\"!=typeof moment&&r instanceof moment&&(i=\"moment\"))}\"boolean\"===i&&(n.colValueArray=[!0,!1]),\"number\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetGreatestAndSub,n.rowSelectionMode=Slick.RowSelectionMode.AllRows),\"string\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetLongestText,n.rowSelectionMode=Slick.RowSelectionMode.AllRows,n.allowAddlPercent=5),\"date\"===i&&(n.colValueArray=[new Date(2009,8,30,12,20,20)]),\"moment\"===i&&\"undefined\"!=typeof moment&&(n.colValueArray=[moment([2009,8,30,12,20,20])])}var s=getColContentSize(e,o,t);s=s*(n.allowAddlPercent?1+n.allowAddlPercent/100:1)+options.autosizeColPaddingPx,e.minWidth&&s<e.minWidth&&(s=e.minWidth),e.maxWidth&&s>e.maxWidth&&(s=e.maxWidth),n.widthPx=s}}function getColContentSize(e,o,t){var n,l=e.autoSize,r=1,i=0,a=0;if(l.ignoreHeaderText||(a=getColHeaderWidth(e)),l.colValueArray)return i=getColWidth(e,o,l.colValueArray),Math.max(a,i);var s=getData();s.getItems&&(s=s.getItems());var d=(t?l.rowSelectionModeOnInit:void 0)||l.rowSelectionMode;if(d===Slick.RowSelectionMode.FirstRow&&(s=s.slice(0,1)),d===Slick.RowSelectionMode.LastRow&&(s=s.slice(s.length-1,s.length)),d===Slick.RowSelectionMode.FirstNRows&&(s=s.slice(0,l.rowSelectionCount)),l.valueFilterMode===Slick.ValueFilterMode.DeDuplicate){var c={};for(u=0,n=s.length;u<n;u++)c[s[u][e.field]]=!0;if(Object.keys)s=Object.keys(c);else for(var u in s=[],c)s.push(u)}if(l.valueFilterMode===Slick.ValueFilterMode.GetGreatestAndSub){var h,p=0;for(u=0,n=s.length;u<n;u++)w=s[u][e.field],Math.abs(w)>p&&(h=w,p=Math.abs(w));h=\"\"+h,s=[h=+(h=Array(h.length+1).join(\"9\"))]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestTextAndSub){var m=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length);w=Array(m+1).join(\"m\"),r=options.autosizeTextAvgToMWidthRatio,s=[w]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestText){m=0;var w,v=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length,v=u);s=[w=s[v][e.field]]}return i=getColWidth(e,o,s)*r,Math.max(a,i)}function getColWidth(e,o,t){var n=getColumnIndex(e.id),l=$('<div class=\"slick-row ui-widget-content\"></div>'),r=$('<div class=\"slick-cell\"></div>');r.css({position:\"absolute\",visibility:\"hidden\",\"text-overflow\":\"initial\",\"white-space\":\"nowrap\"}),l.append(r),o.append(l);var i,a,s,d,c=0;return canvas_context&&e.autoSize.widthEvalMode===Slick.WidthEvalMode.CanvasTextSize?(canvas_context.font=r.css(\"font-size\")+\" \"+r.css(\"font-family\"),$(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,(i=(a=\"\"+d)?canvas_context.measureText(a).width:0)>c&&(c=i,s=a)})),r.html(s),i=r.outerWidth(),l.remove(),i):($(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,applyFormatResultToCellNode(e.formatterOverride?e.formatterOverride(o,n,d,e,t):e.formatter?e.formatter(o,n,d,e,t):\"\"+d,r[0]),(i=r.outerWidth())>c&&(c=i)})),l.remove(),c)}function getColHeaderWidth(e){var o=0,t=getUID()+e.id,n=document.getElementById(t),l=t+\"_\";if(n){var r=n.cloneNode(!0);r.id=l,r.style.cssText=\"position: absolute; visibility: hidden;right: auto;text-overflow: initial;white-space: nowrap;\",n.parentNode.insertBefore(r,n),o=r.offsetWidth,r.parentNode.removeChild(r)}else{var i=getHeader(e);o=(n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+e.name+\"</span>\").attr(\"id\",l).css({position:\"absolute\",visibility:\"hidden\",right:\"auto\",\"text-overflow:\":\"initial\",\"white-space\":\"nowrap\"}).addClass(e.headerCssClass||\"\").appendTo(i))[0].offsetWidth,i[0].removeChild(n[0])}return o}function legacyAutosizeColumns(){var e,o,t,n=[],l=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],n.push(o.width),r+=o.width,o.resizable&&(l+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&l;){var a=(r-i)/l;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var s=n[e];if(!(!o.resizable||s<=o.minWidth||s<=absoluteColumnMinWidth)){var d=Math.max(o.minWidth,absoluteColumnMinWidth),c=Math.floor(a*(s-d))||1;r-=c=Math.min(c,s-d),l-=c,n[e]-=c}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=n[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,n[e]+=r<=i?h:0}if(t>=r)break;t=r}var m=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=n[e]&&(m=!0),columns[e].width=n[e];reRenderColumns(m)}function reRenderColumns(e){applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),e&&(invalidateAllRows(),render())}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function applyColumnGroupHeaderWidths(){if(treeColumns.hasDepth())for(var e=$groupHeadersL.length-1;e>=0;e--){treeColumns.getColumnsInDepth(e);$().add($groupHeadersL[e]).add($groupHeadersR[e]).each((function(e){var o=$(this),t=0;o.width(0===e?getHeadersWidthL():getHeadersWidthR()),o.children().each((function(){var e=$(this),n=$(this).data(\"column\");n.width=0,n.columns.forEach((function(){var e=o.next().children(\":eq(\"+t+++\")\");n.width+=e.outerWidth()})),e.width(n.width-headerColumnWidthDiff)}))}))}}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),n=columns.length;o<n;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,n=0;n<columns.length;n++)e=columns[n].width,(o=getColumnCssRules(n)).left.style.left=t+\"px\",o.right.style.right=(-1!=options.frozenColumn&&n>options.frozenColumn?canvasWidthR:canvasWidthL)-t-e+\"px\",options.frozenColumn==n?t=0:t+=columns[n].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,n){null==n.sortAsc&&(n.sortAsc=!0);var l=getColumnIndex(n.columnId);null!=l&&(t.eq(l).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(n.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(l).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){var t=selectedRows.slice(0);selectedRows=[];for(var n={},l=0;l<o.length;l++)for(var r=o[l].fromRow;r<=o[l].toRow;r++){n[r]||(selectedRows.push(r),n[r]={});for(var i=o[l].fromCell;i<=o[l].toCell;i++)canCellBeSelected(r,i)&&(n[r][columns[i].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,n),simpleArrayEquals(t,selectedRows)||trigger(self.onSelectedRowsChanged,{rows:getSelectedRows(),previousSelectedRows:t},e)}function simpleArrayEquals(e,o){if(!Array.isArray(e)||!Array.isArray(o))return!0;const t=new Set(e),n=new Set(o);if(t.size!=n.size)return!1;for(const e of t)if(!n.has(e))return!1;return!0}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,options.frozenColumn==o?e=0:e+=columns[o].width}function updateColumnProps(){columnsById={};for(var e=0;e<columns.length;e++){columns[e].width&&(columns[e].widthRequest=columns[e].width);var o=columns[e]=$.extend({},columnDefaults,columns[e]);o.autoSize=$.extend({},columnAutosizeDefaults,o.autoSize),columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth),o.resizable}}function setColumns(e){var o=new Slick.TreeColumns(e);columns=o.hasDepth()?(treeColumns=o).extractColumns():e,updateColumnProps(),updateColumnCaches(),initialized&&(setPaneVisibility(),setOverflow(),invalidateAllRows(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),removeCssRules(),createCssRules(),resizeCanvas(),updateCanvasWidth(),applyColumnHeaderWidths(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){if(getEditorLock().commitCurrentEdit()){makeActiveCellNormal(),void 0!==e.showColumnHeader&&setColumnHeaderVisibility(e.showColumnHeader),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength());var t=$.extend(!0,{},options);options=$.extend(options,e),trigger(self.onSetOptions,{optionsBefore:t,optionsAfter:options}),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render(),setFrozenOptions(),setScroller(),zombieRowNodeFromLastMouseWheelEvent=null,setColumns(treeColumns.extractColumns())}}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1),options.forceFitColumns&&(options.autosizeColsMode=Slick.GridAutosizeColsMode.LegacyForceFit,console.log(\"forceFitColumns option is deprecated - use autosizeColsMode\"))}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data&&data.length||0}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e,o){var t=!1!==o;options.showTopPanel!=e&&(options.showTopPanel=e,e?t?$topPanelScroller.slideDown(\"fast\",resizeCanvas):($topPanelScroller.show(),resizeCanvas()):t?$topPanelScroller.slideUp(\"fast\",resizeCanvas):($topPanelScroller.hide(),resizeCanvas()))}function setHeaderRowVisibility(e,o){var t=!1!==o;options.showHeaderRow!=e&&(options.showHeaderRow=e,e?t?$headerRowScroller.slideDown(\"fast\",resizeCanvas):($headerRowScroller.show(),resizeCanvas()):t?$headerRowScroller.slideUp(\"fast\",resizeCanvas):($headerRowScroller.hide(),resizeCanvas()))}function setColumnHeaderVisibility(e,o){options.showColumnHeader!=e&&(options.showColumnHeader=e,e?o?$headerScroller.slideDown(\"fast\",resizeCanvas):($headerScroller.show(),resizeCanvas()):o?$headerScroller.slideUp(\"fast\",resizeCanvas):($headerScroller.hide(),resizeCanvas()))}function setFooterRowVisibility(e,o){var t=!1!==o;options.showFooterRow!=e&&(options.showFooterRow=e,e?t?$footerRowScroller.slideDown(\"fast\",resizeCanvas):($footerRowScroller.show(),resizeCanvas()):t?$footerRowScroller.slideUp(\"fast\",resizeCanvas):($footerRowScroller.hide(),resizeCanvas()))}function setPreHeaderPanelVisibility(e,o){var t=!1!==o;options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?t?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):($preHeaderPanelScroller.show(),resizeCanvas()):t?$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas):($preHeaderPanelScroller.hide(),resizeCanvas()))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-$viewportScrollContainerY.height()+(viewportHasHScroll||hasFrozenColumns()?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,lastRenderedScrollTop=scrollTop=prevScrollTop=t,hasFrozenColumns()&&($viewportTopL[0].scrollTop=t),hasFrozenRows&&($viewportBottomL[0].scrollTop=$viewportBottomR[0].scrollTop=t),$viewportScrollContainerY[0].scrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,n,l,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),n=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return n&&n.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function callFormatter(e,o,t,n,l,r){var i,a=data.getItemMetadata&&data.getItemMetadata(e);if(a=a&&a.columns){var s=a[n.id]||a[o];i=getFormatter(e,n)(e,o,t,n,l,s)}else i=getFormatter(e,n)(e,o,t,n,l);return i}function getEditor(e,o){var t=columns[o],n=data.getItemMetadata&&data.getItemMetadata(e),l=n&&n.columns;return l&&l[t.id]&&void 0!==l[t.id].editor?l[t.id].editor:l&&l[o]&&void 0!==l[o].editor?l[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,n,l){var r=getDataItem(t),i=t<l&&!r,a=\"slick-row\"+(hasFrozenRows&&t<=options.frozenRow?\" frozen\":\"\")+(i?\" loading\":\"\")+(t===activeRow&&options.showCellSelection?\" active\":\"\")+(t%2==1?\" odd\":\" even\");r||(a+=\" \"+options.addNewRowCssClass);var s=data.getItemMetadata&&data.getItemMetadata(t);s&&s.cssClasses&&(a+=\" \"+s.cssClasses);var d,c,u=getFrozenRowOffset(t),h=\"<div class='ui-widget-content \"+a+\"' style='top:\"+(getRowTop(t)-u)+\"px'>\";e.push(h),hasFrozenColumns()&&o.push(h);for(var p=0,m=columns.length;p<m;p++){if(c=columns[p],d=1,s&&s.columns){var w=s.columns[c.id]||s.columns[p];\"*\"===(d=w&&w.colspan||1)&&(d=m-p)}if(columnPosRight[Math.min(m-1,p+d-1)]>n.leftPx){if(!c.alwaysRenderColumn&&columnPosLeft[p]>n.rightPx)break;hasFrozenColumns()&&p>options.frozenColumn?appendCellHtml(o,t,p,d,r):appendCellHtml(e,t,p,d,r)}else(c.alwaysRenderColumn||hasFrozenColumns()&&p<=options.frozenColumn)&&appendCellHtml(e,t,p,d,r);d>1&&(p+=d-1)}e.push(\"</div>\"),hasFrozenColumns()&&o.push(\"</div>\")}function appendCellHtml(e,o,t,n,l){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+n-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var a in hasFrozenColumns()&&t<=options.frozenColumn&&(i+=\" frozen\"),o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[a][o]&&cellCssClasses[a][o][r.id]&&(i+=\" \"+cellCssClasses[a][o][r.id]);var s=null,d=\"\";l&&(s=getDataItemValueForColumn(l,r),null==(d=getFormatter(o,r)(o,t,s,r,l,self))&&(d=\"\"));var c=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:s,dataContext:l})||\"\";c+=d&&d.addClasses?(c?\" \":\"\")+d.addClasses:\"\";var u=d&&d.toolTip?\"title='\"+d.toolTip+\"'\":\"\",h=\"\";if(r.hasOwnProperty(\"cellAttrs\")&&r.cellAttrs instanceof Object)for(var a in r.cellAttrs)r.cellAttrs.hasOwnProperty(a)&&(h+=\" \"+a+'=\"'+r.cellAttrs[a]+'\" ');e.push(\"<div class='\"+i+(c?\" \"+c:\"\")+\"' \"+u+h+\">\"),l&&e.push(\"[object Object]\"!==Object.prototype.toString.call(d)?d:d.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=n}function cleanupRows(e){for(var o in rowsCache){var t=!0;hasFrozenRows&&(options.frozenBottom&&o>=actualFrozenRow||!options.frozenBottom&&o<=actualFrozenRow)&&(t=!1),(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&t&&removeRowFromCache(o)}options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var n in postProcessgroupId++,o)o.hasOwnProperty(n)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|n],columnIdx:0|n,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(rowNodeFromLastMouseWheelEvent==o.rowNode[0]||hasFrozenColumns()&&rowNodeFromLastMouseWheelEvent==o.rowNode[1]?(o.rowNode.hide(),zombieRowNodeFromLastMouseWheelEvent=o.rowNode):o.rowNode.each((function(){this.parentElement.removeChild(this)})),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses),e.toolTip&&$(o).attr(\"title\",e.toolTip)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var n=columns[o],l=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(l);else applyFormatResultToCellNode(l?getFormatter(e,n)(e,o,getDataItemValueForColumn(l,n),n,l,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var n in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=o.cellNodesByColumnIdx[n][0];e===activeRow&&n===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,l)(e,n,getDataItemValueForColumn(t,l),l,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){if(options.autoHeight&&-1==options.frozenColumn||(topPanelH=options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0,headerRowH=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,footerRowH=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0),options.autoHeight){var e=$paneHeaderL.outerHeight();e+=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,e+=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0,e+=getCanvasWidth()>viewportW?scrollbarDimensions.height:0,viewportH=options.rowHeight*getDataLengthIncludingAddNew()+(-1==options.frozenColumn?e:0)}else{var o=options.showColumnHeader?parseFloat($.css($headerScroller[0],\"height\"))+getVBoxDelta($headerScroller):0,t=options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0;viewportH=parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-o-topPanelH-headerRowH-footerRowH-t}return numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportH}function getViewportWidth(){viewportW=parseFloat($container.width())}function resizeCanvas(){if(initialized){paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,getViewportWidth(),getViewportHeight(),hasFrozenRows?options.frozenBottom?(paneTopH=viewportH-frozenRowsHeight-scrollbarDimensions.height,paneBottomH=frozenRowsHeight+scrollbarDimensions.height):(paneTopH=frozenRowsHeight,paneBottomH=viewportH-frozenRowsHeight):paneTopH=viewportH,paneTopH+=topPanelH+headerRowH+footerRowH,hasFrozenColumns()&&options.autoHeight&&(paneTopH+=scrollbarDimensions.height),viewportTopH=paneTopH-topPanelH-headerRowH-footerRowH,options.autoHeight&&(hasFrozenColumns()&&$container.height(paneTopH+parseFloat($.css($headerScrollerL[0],\"height\"))),$paneTopL.css(\"position\",\"relative\")),$paneTopL.css({top:$paneHeaderL.height(),height:paneTopH});var e=$paneTopL.position().top+paneTopH;options.autoHeight||$viewportTopL.height(viewportTopH),hasFrozenColumns()?($paneTopR.css({top:$paneHeaderL.height(),height:paneTopH}),$viewportTopR.height(viewportTopH),hasFrozenRows&&($paneBottomL.css({top:e,height:paneBottomH}),$paneBottomR.css({top:e,height:paneBottomH}),$viewportBottomR.height(paneBottomH))):hasFrozenRows&&($paneBottomL.css({width:\"100%\",height:paneBottomH}),$paneBottomL.css(\"top\",e)),hasFrozenRows?($viewportBottomL.height(paneBottomH),options.frozenBottom?($canvasBottomL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasBottomR.height(frozenRowsHeight)):($canvasTopL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasTopR.height(frozenRowsHeight))):$viewportTopR.height(viewportTopH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render()}}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew(),t=0,l=hasFrozenRows&&!options.frozenBottom?$canvasBottomL.height():$canvasTopL.height();if(hasFrozenRows)t=getDataLength()-options.frozenRow;else t=o+(options.leaveSpaceForNewRows?numVisibleRows-1:0);var r=$viewportScrollContainerY.height(),i=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&t*options.rowHeight>r,makeActiveCellNormal();var a=e-1;for(var s in rowsCache)s>a&&removeRowFromCache(s);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>a&&resetActiveCell();l=h;options.autoHeight?h=options.rowHeight*t:(th=Math.max(options.rowHeight*t,r-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==l&&(hasFrozenRows&&!options.frozenBottom?($canvasBottomL.css(\"height\",h),hasFrozenColumns()&&$canvasBottomR.css(\"height\",h)):($canvasTopL.css(\"height\",h),$canvasTopR.css(\"height\",h)),scrollTop=$viewportScrollContainerY[0].scrollTop);var d=scrollTop+offset<=th-r;0==th||0==scrollTop?page=offset=0:scrollTo(d?scrollTop+offset:th-r),h!=l&&options.autoHeight&&resizeCanvas(),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&i!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),n=Math.round(viewportH/options.rowHeight),l=options.minRowBuffer;return-1==vScrollDir?(t.top-=n,t.bottom+=l):1==vScrollDir?(t.top-=l,t.bottom+=n):(t.top-=l,t.bottom+=l),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.children().last();o.cellRenderQueue.length;){var n=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[n]=t,0===(t=t.prev()).length&&(t=$(o.rowNode[0]).children().last())}}function cleanUpCells(e,o){if(!hasFrozenRows||!(options.frozenBottom&&o>actualFrozenRow||o<=actualFrozenRow)){var t,n=rowsCache[o],l=[];for(var r in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(r)&&!((r|=0)<=options.frozenColumn||Array.isArray(columns)&&columns[r]&&columns[r].alwaysRenderColumn)){var i=n.cellColSpans[r];(columnPosLeft[r]>e.rightPx||columnPosRight[Math.min(columns.length-1,r+i-1)]<e.leftPx)&&(o==activeRow&&r==activeCell||l.push(r))}for(;null!=(t=l.pop());)n.cellNodesByColumnIdx[t][0].parentElement.removeChild(n.cellNodesByColumnIdx[t][0]),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}}function cleanUpAndRenderCells(e){for(var o,t,n,l=[],r=[],i=e.top,a=e.bottom;i<=a;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var s=data.getItemMetadata&&data.getItemMetadata(i);s=s&&s.columns;for(var d=getDataItem(i),c=0,u=columns.length;c<u&&!(columnPosLeft[c]>e.rightPx);c++)if(null==(n=o.cellColSpans[c])){if(n=1,s){var h=s[columns[c].id]||s[c];\"*\"===(n=h&&h.colspan||1)&&(n=u-c)}columnPosRight[Math.min(u-1,c+n-1)]>e.leftPx&&(appendCellHtml(l,i,c,n,d),t++),c+=n>1?n-1:0}else c+=n>1?n-1:0;t&&(t,r.push(i))}if(l.length){var p,m,w=document.createElement(\"div\");for(w.innerHTML=l.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)m=w.lastChild,hasFrozenColumns()&&v>options.frozenColumn?o.rowNode[1].appendChild(m):o.rowNode[0].appendChild(m),o.cellNodesByColumnIdx[v]=$(m)}}}function renderRows(e){for(var o=[],t=[],n=[],l=!1,r=getDataLength(),i=e.top,a=e.bottom;i<=a;i++)rowsCache[i]||hasFrozenRows&&options.frozenBottom&&i==getDataLength()||(renderedRows++,n.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(o,t,i,e,r),activeCellNode&&activeRow===i&&(l=!0),counter_rows_rendered++);if(n.length){var s=document.createElement(\"div\"),d=document.createElement(\"div\");s.innerHTML=o.join(\"\"),d.innerHTML=t.join(\"\");for(i=0,a=n.length;i<a;i++)hasFrozenRows&&n[i]>=actualFrozenRow?hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)).add($(d.firstChild).appendTo($canvasBottomR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)):hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL)).add($(d.firstChild).appendTo($canvasTopR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL));l&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache){var o=e?parseInt(e):0;rowsCache[o].rowNode[0].style.top=getRowTop(o)+\"px\"}}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();if(cleanupRows(o),lastRenderedScrollLeft!=scrollLeft){if(hasFrozenRows){var t=$.extend(!0,{},o);options.frozenBottom?(t.top=actualFrozenRow,t.bottom=getDataLength()):(t.top=0,t.bottom=options.frozenRow),cleanUpAndRenderCells(t)}cleanUpAndRenderCells(o)}renderRows(o),hasFrozenRows&&(options.frozenBottom?renderRows({top:actualFrozenRow,bottom:getDataLength()-1,leftPx:o.leftPx,rightPx:o.rightPx}):renderRows({top:0,bottom:options.frozenRow-1,leftPx:o.leftPx,rightPx:o.rightPx})),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScrollContainer[0])}function handleHeaderRowScroll(){var e=$headerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handleFooterRowScroll(){var e=$footerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=o)}function handleScroll(){return scrollTop=$viewportScrollContainerY[0].scrollTop,scrollLeft=$viewportScrollContainerX[0].scrollLeft,_handleScroll(!1)}function _handleScroll(e){var o=$viewportScrollContainerY[0].scrollHeight-$viewportScrollContainerY[0].clientHeight,t=$viewportScrollContainerY[0].scrollWidth-$viewportScrollContainerY[0].clientWidth;o=Math.max(0,o),t=Math.max(0,t),scrollTop>o&&(scrollTop=o),scrollLeft>t&&(scrollLeft=t);var l=Math.abs(scrollTop-prevScrollTop),r=Math.abs(scrollLeft-prevScrollLeft);if(r&&(prevScrollLeft=scrollLeft,$viewportScrollContainerX[0].scrollLeft=scrollLeft,$headerScrollContainer[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScrollContainer[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScrollContainer[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&(hasFrozenColumns()?$preHeaderPanelScrollerR[0].scrollLeft=scrollLeft:$preHeaderPanelScroller[0].scrollLeft=scrollLeft),hasFrozenColumns()?hasFrozenRows&&($viewportTopR[0].scrollLeft=scrollLeft):hasFrozenRows&&($viewportTopL[0].scrollLeft=scrollLeft)),l)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e&&($viewportScrollContainerY[0].scrollTop=scrollTop),hasFrozenColumns()&&(hasFrozenRows&&!options.frozenBottom?$viewportBottomL[0].scrollTop=scrollTop:$viewportTopL[0].scrollTop=scrollTop),l<viewportH)scrollTo(scrollTop+offset);else{var i=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),i!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(r||l){var a=Math.abs(lastRenderedScrollLeft-scrollLeft),s=Math.abs(lastRenderedScrollTop-scrollTop);(a>20||s>20)&&(options.forceSyncScrolling||s<viewportH&&a<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}return trigger(self.onScroll,{scrollLeft,scrollTop}),!(!r&&!l)}function ActionThrottle(e,o){var t=!1,n=!1;function l(){n=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){n?(l(),r()):t=!1}return{enqueue:function(){t?n=!0:r()},dequeue:l}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var n in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=postProcessedRows[o][n];if(l.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[n];i&&l.asyncPostRender(i,o,getDataItem(o),l,\"C\"===r),postProcessedRows[o][n]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,n,l,r;for(var i in rowsCache){if(r=o&&o[i],l=e&&e[i],r)for(n in r)l&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).removeClass(r[n]);if(l)for(n in l)r&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).addClass(l[n])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){(t=t||100,rowsCache[e])&&function e(o,n){n&&setTimeout((function(){o.queue((function(){o.toggleClass(options.cellFlashingCssClass).dequeue(),e(o,n-1)}))}),t)}($(getCellNode(e,o)),4)}function handleMouseWheel(e,o,t,n){var l=$(e.target).closest(\".slick-row\"),r=l[0];if(r!=rowNodeFromLastMouseWheelEvent){var i=l.parents(\".grid-canvas\").hasClass(\"grid-canvas-left\");if(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent[i?0:1]!=r){var a=zombieRowNodeFromLastMouseWheelEvent[i||1==zombieRowNodeFromLastMouseWheelEvent.length?0:1];a.parentElement.removeChild(a),zombieRowNodeFromLastMouseWheelEvent=null}rowNodeFromLastMouseWheelEvent=r}scrollTop=Math.max(0,$viewportScrollContainerY[0].scrollTop-n*options.rowHeight),scrollLeft=$viewportScrollContainerX[0].scrollLeft+10*t,_handleScroll(!0)&&e.preventDefault()}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,n=columns[o.cell],l=!!(options.editable&&n&&n.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,l,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleFooterContextMenu(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterContextMenu,{column:t},e)}function handleFooterClick(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterClick,{column:t},e)}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),n=0,l=0,r=0;r<columns.length&&l<e;r++)l+=columns[r].width,n++;return n<0&&(n=0),{row:t,cell:n-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)for(var t in rowsCache[o].rowNode)if(rowsCache[o].rowNode[t]===e)return o?parseInt(o):0;return null}function getFrozenRowOffset(e){return hasFrozenRows?options.frozenBottom?e>=actualFrozenRow?h<viewportTopH?actualFrozenRow*options.rowHeight:h:0:e>=actualFrozenRow?frozenRowsHeight:0:0}function getCellFromEvent(e){var o,t,n=$(e.target).closest(\".slick-cell\",$canvas);if(!n.length)return null;if(o=getRowFromNode(n[0].parentNode),hasFrozenRows){var l=n.parents(\".grid-canvas\").offset(),r=0;n.parents(\".grid-canvas-bottom\").length&&(r=options.frozenBottom?$canvasTopL.height():frozenRowsHeight),o=getCellFromPoint(e.clientX-l.left,e.clientY-l.top+r+$(document).scrollTop()).row}return t=getCellFromNode(n[0]),null==o||null==t?null:{row:o,cell:t}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getFrozenRowOffset(e),n=getRowTop(e)-t,l=n+options.rowHeight-1,r=0,i=0;i<o;i++)r+=columns[i].width,options.frozenColumn==i&&(r=0);return{top:n,left:r,bottom:l,right:r+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){if(scrollRowIntoView(e,t),!(o<=options.frozenColumn)){var n=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(n>1?n-1:0)])}}function internalScrollColumnIntoView(e,o){var t=scrollLeft+$viewportScrollContainerX.width();e<scrollLeft?($viewportScrollContainerX.scrollLeft(e),handleScroll(),render()):o>t&&($viewportScrollContainerX.scrollLeft(Math.min(e,o-$viewportScrollContainerX[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,n,l){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));if(null!=(activeCellNode=e)){var r=$(activeCellNode),i=r.offset(),a=Math.floor(r.parents(\".grid-canvas\").offset().top),s=r.parents(\".grid-canvas-bottom\").length;hasFrozenRows&&s&&(a-=options.frozenBottom?$canvasTopL.height():frozenRowsHeight);var d=getCellFromPoint(i.left,Math.ceil(i.top)-a);activeRow=d.row,activeCell=activePosX=activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&(r.addClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,l)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,l))}else activeRow=activeCell=null;n||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var n=columns[activeCell],l=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:l,column:n})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\");var i=data.getItemMetadata&&data.getItemMetadata(activeRow),a=(i=i&&i.columns)&&(i[n.id]||i[activeCell]);currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:n,columnMetaData:a,item:l||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),l&&(currentEditor.loadValue(l),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){if(!hasFrozenRows||!options.frozenBottom&&e>actualFrozenRow-1||options.frozenBottom&&e<actualFrozenRow-1){var t=$viewportScrollContainerY.height(),n=hasFrozenRows&&!options.frozenBottom?e-options.frozenRow:e,l=n*options.rowHeight,r=(n+1)*options.rowHeight-t+(viewportHasHScroll?scrollbarDimensions.height:0);(n+1)*options.rowHeight>scrollTop+t+offset?(scrollTo(o?l:r),render()):n*options.rowHeight<scrollTop+offset&&(scrollTo(o?r:l),render())}}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop+options.rowHeight-1)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,n=getDataLengthIncludingAddNew();t>=n&&(t=n-1),t<0&&(t=0);for(var l=0,r=null,i=activePosX;l<=activePosX;)canCellBeActive(t,l)&&(r=l),l+=getColspan(t,l);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,n=null,l=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(n=t),t+=getColspan(e,t);null!==n?(setActiveCellInternal(getCellNode(e,n)),activePosX=l):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var n=t.columns[columns[o].id]||t.columns[o],l=n&&n.colspan;return l=\"*\"===l?columns.length-o:l||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var n=findFirstFocusableCell(e);if(null===n||n>=o)return null;for(var l,r={row:e,cell:n,posX:n};;){if(!(l=gotoRight(r.row,r.cell,r.posX)))return null;if(l.cell>=o)return r;r=l}}function gotoDown(e,o,t){for(var n,l=getDataLengthIncludingAddNew();;){if(++e>=l)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoUp(e,o,t){for(var n;;){if(--e<0)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var n=gotoRight(e,o,t);if(n)return n;var l=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(l=findFirstFocusableCell(e)))return{row:e,cell:l,posX:l};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var n,l;!n&&!(n=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(l=findLastFocusableCell(e))&&(n={row:e,cell:l,posX:l})}return n}function gotoRowStart(e,o,t){var n=findFirstFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function gotoRowEnd(e,o,t){var n=findLastFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){if(hasFrozenRows&&options.frozenBottom&o.row==getDataLength())return;var t=o.row==getDataLength();return(!options.frozenBottom&&o.row>=actualFrozenRow||options.frozenBottom&&o.row<actualFrozenRow)&&scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){if(rowsCache[e]){ensureCellNodesInRowsCache(e);try{return rowsCache[e].cellNodesByColumnIdx.length>o?rowsCache[e].cellNodesByColumnIdx[o][0]:null}catch(t){return rowsCache[e].cellNodesByColumnIdx[o]}}return null}function setActiveCell(e,o,t,n,l){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,n,l)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var n=t&&t.columns;return n&&n[columns[o].id]&&void 0!==n[columns[o].id].focusable?!!n[columns[o].id].focusable:n&&n[o]&&void 0!==n[o].focusable?!!n[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var n=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return n&&void 0!==n.selectable?!!n.selectable:!!columns[o].selectable}function gotoCell(e,o,t,n){if(initialized&&canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()){scrollCellIntoView(e,o,!1);var l=getCellNode(e,o),r=columns[o],i=!!(options.editable&&r&&r.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(l,t||e===getDataLength()||options.autoEdit,null,i,n),currentEditor||setFocus()}}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var n={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,n)):(n.execute(),makeActiveCellNormal())}else{var l={};currentEditor.applyValue(l,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:l,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,n=0;n<e.length;n++)o.push(new Slick.Range(e[n],0,e[n],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows.slice(0)}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.4.27\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onFooterContextMenu:new Slick.Event,onFooterClick:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsDrag:new Slick.Event,onColumnsResized:new Slick.Event,onBeforeColumnsResize:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,onSetOptions:new Slick.Event,registerPlugin,unregisterPlugin,getPluginByName,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,autosizeColumn,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,applyFormatResultToCellNode,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,getCanvases,getActiveCanvasNode,setActiveCanvasNode,getViewportNode,getActiveViewportNode,setActiveViewportNode,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,getPreHeaderPanelLeft:getPreHeaderPanel,getPreHeaderPanelRight,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,getFrozenRowOffset,setColumnHeaderVisibility,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      505: function _(t,e,a,n,r){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var o=t(498);o.fn.drag=function(t,e,a){var n=\"string\"==typeof t?t:\"\",r=o.isFunction(t)?t:o.isFunction(e)?e:null;return 0!==n.indexOf(\"drag\")&&(n=\"drag\"+n),a=(t==r?e:a)||{},r?this.on(n,a,r):this.trigger(n)};var i=o.event,d=i.special,s=d.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=o.data(this,s.datakey),a=t.data||{};e.related+=1,o.each(s.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){o.data(this,s.datakey).related-=1},setup:function(){if(!o.data(this,s.datakey)){var t=o.extend({related:0},s.defaults);o.data(this,s.datakey,t),i.add(this,\"touchstart mousedown\",s.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",s.dontstart)}},teardown:function(){(o.data(this,s.datakey)||{}).related||(o.removeData(this,s.datakey),i.remove(this,\"touchstart mousedown\",s.init),s.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",s.dontstart))},init:function(t){if(!s.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)){var n=o(t.target).attr(\"class\")||\"\";if(!o(t.target).is(a.not)&&n&&-1!==n.toString().indexOf(\"slick\")&&(!a.handle||o(t.target).closest(a.handle,t.currentTarget).length)&&(s.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[s.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=s.hijack(t,\"draginit\",a),a.propagates))return(e=s.flatten(e))&&e.length&&(a.interactions=[],o.each(e,(function(){a.interactions.push(s.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&d.drop&&d.drop.handler(t,a),s.textselect(!1),s.touched?i.add(s.touched,\"touchmove touchend\",s.handler,a):i.add(document,\"mousemove mouseup\",s.handler,a),!(!s.touched||a.live)&&void 0}}},interaction:function(t,e){var a=t&&t.ownerDocument&&o(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new s.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,s.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(s.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&d.drop&&d.drop.handler(t,e);break}t.type=\"mouseup\"}default:s.touched?i.remove(s.touched,\"touchmove touchend\",s.handler):i.remove(document,\"mousemove mouseup\",s.handler),e.dragging&&(!1!==e.drop&&d.drop&&d.drop.handler(t,e),s.hijack(t,\"dragend\",e)),s.textselect(!0),!1===e.click&&e.dragging&&o.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=s.touched=!1}},hijack:function(t,e,a,n,r){if(a){var d,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=n||0,h=isNaN(n)?a.interactions.length:n;t.type=e;var f=function(){};t.originalEvent=new o.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=s.properties(t,a,c),c.results=[],o(r||c[u]||a.droppable).each((function(n,r){if(l.target=r,t.isPropagationStopped=function(){return!1},!1===(d=r?i.dispatch.call(r,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][n]=null)):\"dropinit\"==e&&c.droppable.push(s.element(d)||r),\"dragstart\"==e&&(c.proxy=o(s.element(d)||c.drag)[0]),c.results.push(d),delete t.result,\"dropinit\"!==e)return d})),a.results[g]=s.flatten(c.results),\"dropinit\"==e&&(c.droppable=s.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,s.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=s.flatten((a.drop||[]).slice()),n.available=s.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return o.map(t,(function(t){return t&&t.jquery?o.makeArray(t):t&&t.length?s.flatten(t):t}))},textselect:function(t){o(document)[t?\"off\":\"on\"](\"selectstart\",s.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};s.callback.prototype={update:function(){d.drop&&this.available.length&&o.each(this.available,(function(t){d.drop.locate(this,t)}))}};var c=i.dispatch;i.dispatch=function(t){if(!(o.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return c.apply(this,arguments);o.removeData(this,\"suppress.\"+t.type)},d.draginit=d.dragstart=d.dragend=s},\n      506: function _(t,e,a,n,i){\n      /*!\n           * jquery.event.drop - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var o=t(498);o.fn.drop=function(t,e,a){var n=\"string\"==typeof t?t:\"\",i=o.isFunction(t)?t:o.isFunction(e)?e:null;return 0!==n.indexOf(\"drop\")&&(n=\"drop\"+n),a=(t==i?e:a)||{},i?this.on(n,a,i):this.trigger(n)},o.drop=function(t){t=t||{},d.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?d.multi:t.multi,d.delay=t.delay||d.delay,d.tolerance=o.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:d.tolerance,d.mode=t.mode||d.mode||\"intersect\"};var r=o.event.special,d=o.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){o.data(this,d.datakey).related+=1},remove:function(){o.data(this,d.datakey).related-=1},setup:function(){if(!o.data(this,d.datakey)){o.data(this,d.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),d.targets.push(this)}},teardown:function(){if(!(o.data(this,d.datakey)||{}).related){o.removeData(this,d.datakey);var t=this;d.targets=o.grep(d.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=o(d.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=o.data(this,d.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,r.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":d.event=t,d.timer||d.tolerate(e);break;case\"mouseup\":case\"touchend\":d.timer=clearTimeout(d.timer),e.propagates&&(r.drag.hijack(t,\"drop\",e),r.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=o.data(t,d.datakey),n=o(t),i=n.length&&!n.is(document)?n.offset():{},r=n.outerHeight(),l=n.outerWidth(),c={elem:t,width:l,height:r,top:i.top,left:i.left,right:i.left+l,bottom:i.top+r};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return 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n=o.mapIdsToRows(a);t||s(o.mapRowsToIds(n)),e.setSelectedRows(n),r=!1}})),u},syncGridCellCssStyles:function(e,t){var n,r;function o(e){for(var t in n={},e){var r=c[t][s];n[r]=e[t]}}function i(){if(n){r=!0,q();var o={};for(var i in n){var l=h[i];null!=l&&(o[l]=n[i])}e.setCellCssStyles(t,o),r=!1}}o(e.getCellCssStyles(t)),e.onCellCssStylesChanged.subscribe((function(n,l){r||t==l.key&&(l.hash?o(l.hash):(e.onCellCssStylesChanged.unsubscribe(),u.onRowsOrCountChanged.unsubscribe(i)))})),this.onRowsOrCountChanged.subscribe(i)},getLength:function(){return c.length},getItem:function(e){var t=c[e];if(t&&t.__group&&t.totals&&!t.totals.initialized){var n=I[t.level];n.displayTotalsRow||(Y(t.totals),t.title=n.formatter?n.formatter(t):t.value)}else t&&t.__groupTotals&&!t.initialized&&Y(t);return t},getItemMetadata:function(t){var n=c[t];return void 0===n?null:n.__group?e.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?e.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onSetItemsCalled:F,onRowCountChanged:A,onRowsChanged:N,onRowsOrCountChanged:G,onBeforePagingInfoChanged:T,onPagingInfoChanged:O,onGroupExpanded:P,onGroupCollapsed:D})},Aggregators:a,Data:{Aggregators:a}}},\n      508: function _(e,t,i,n,o){var l=e(498),a=e(500);function s(e){var t,i;function n(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=s.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(o){i=o[e.column.field];var l=n();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());s.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=n();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function u(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===a.keyCode.LEFT&&t>0||e.keyCode===a.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function c(e){e.keyCode!==a.keyCode.LEFT&&e.keyCode!==a.keyCode.RIGHT||e.stopImmediatePropagation()}s.DefaultDecimalPlaces=null,s.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=l(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?u:c).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:s,Date:function(e){var t,i,n=!1;this.init=function(){(t=l(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){n=!0},onClose:function(){n=!1}}),t.width(t.width()-18)},this.destroy=function(){l.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){n&&l.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){n&&l.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){n&&l.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=l(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=l(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,n;this.init=function(){(t=l(\"<INPUT type=text class='editor-percentcomplete' />\")).width(l(e.container).innerWidth()-25),t.appendTo(e.container),(i=l(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:n,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(l(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",l(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&(parseInt(t.val(),10)||0)!=n},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,n,o=this;this.init=function(){var n=l(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=l(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(n),t=l(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),l(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),o.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==a.keyCode.ENTER&&t.ctrlKey)o.save();else if(t.which==a.keyCode.ESCAPE)t.preventDefault(),o.cancel();else if(t.which==a.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==a.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==a.keyCode.LEFT||t.which==a.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,n=this.value.length;t.keyCode===a.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===a.keyCode.RIGHT&&i>=n-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(n),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(n=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==n)&&t.val()!=n},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      509: function _(e,n,r,t,c){e(500);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      510: function _(t,o,r,e,n){var a=t(498),l=t(500);o.exports={RemoteModel:function(){var t=50,o={length:0},r=\"\",e=null,n=1,i=null,s=null,u=new l.Event,f=new l.Event;function c(){for(var t in o)delete o[t];o.length=0}function h(l,c){if(s){s.abort();for(var h=s.fromPage;h<=s.toPage;h++)o[h*t]=void 0}l<0&&(l=0),o.length>0&&(c=Math.min(c,o.length-1));for(var v=Math.floor(l/t),m=Math.floor(c/t);void 0!==o[v*t]&&v<m;)v++;for(;void 0!==o[m*t]&&v<m;)m--;if(v>m||v==m&&void 0!==o[v*t])f.notify({from:l,to:c});else{var g=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+r+\"&start=\"+v*t+\"&limit=\"+((m-v)*t+t);null!=e&&(g+=\"&sortby=\"+e+(n>0?\"+asc\":\"+desc\")),null!=i&&clearTimeout(i),i=setTimeout((function(){for(var r=v;r<=m;r++)o[r*t]=null;u.notify({from:l,to:c}),s=a.jsonp({url:g,callbackParameter:\"callback\",cache:!0,success:d,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(v,m)}}),s.fromPage=v,s.toPage=m}),50)}}function d(t){var r=t.request.start,e=r+t.results.length;o.length=Math.min(parseInt(t.hits),1e3);for(var n=0;n<t.results.length;n++){var a=t.results[n].item;o[r+n]=a,o[r+n].index=r+n}s=null,f.notify({from:r,to:e})}return{data:o,clear:c,isDataLoaded:function(t,r){for(var e=t;e<=r;e++)if(null==o[e]||null==o[e])return!1;return!0},ensureData:h,reloadData:function(t,r){for(var e=t;e<=r;e++)delete o[e];h(t,r)},setSort:function(t,o){e=t,n=o,c()},setSearch:function(t){r=t,c()},onDataLoading:u,onDataLoaded:f}}}},\n      511: function _(e,s,t,o,l){var a=e(498),r=e(500);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(e,s,t,l,a,r){if(!o.enableExpandCollapse)return a.title;var c=15*a.level+\"px\";return(o.checkboxSelect?'<span class=\"'+o.checkboxSelectCssClass+\" \"+(a.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+o.toggleCssClass+\" \"+(a.collapsed?o.toggleCollapsedCssClass:o.toggleExpandedCssClass)+\"' style='margin-left:\"+c+\"'></span><span class='\"+o.groupTitleCssClass+\"' level='\"+a.level+\"'>\"+a.title+\"</span>\"},totalsFormatter:function(e,s,t,o,l,a){return o.groupTotalsFormatter&&o.groupTotalsFormatter(l,o,a)||\"\"},includeHeaderTotals:!1},o=a.extend(!0,{},t,e);function l(e,t){var l=a(e.target),c=this.getDataItem(t.row);if(c&&c instanceof r.Group&&l.hasClass(o.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}if(c&&c instanceof r.Group&&l.hasClass(o.checkboxSelectCssClass)){c.selectChecked=!c.selectChecked,l.removeClass(c.selectChecked?\"unchecked\":\"checked\"),l.addClass(c.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(c.rows);(c.selectChecked?o.checkboxSelectPlugin.selectRows:o.checkboxSelectPlugin.deSelectRows)(i)}}function c(e,t){if(o.enableExpandCollapse&&e.which==r.keyCode.SPACE){var l=this.getActiveCell();if(l){var a=this.getDataItem(l.row);if(a&&a instanceof r.Group){var c=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:c.top,ignoreDiffsAfter:c.bottom+1}),a.collapsed?this.getData().expandGroup(a.groupingKey):this.getData().collapseGroup(a.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}}}}return{init:function(e){(s=e).onClick.subscribe(l),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(l),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(e){var s=e&&e.level;return{selectable:!1,focusable:o.groupFocusable,cssClasses:o.groupCssClass+\" slick-group-level-\"+s,formatter:o.includeHeaderTotals&&o.totalsFormatter,columns:{0:{colspan:o.includeHeaderTotals?\"1\":\"*\",formatter:o.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(e){var s=e&&e.group&&e.group.level;return{selectable:!1,focusable:o.totalsFocusable,cssClasses:o.totalsCssClass+\" slick-group-level-\"+s,formatter:o.totalsFormatter,editor:null}},getOptions:function(){return o},setOptions:function(e){a.extend(!0,o,e)}}}}},\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      513: function _(e,i,t,s,n){var u;s();const c=e(512),o=e(75),a=e(190);class r extends c.Widget{constructor(e){super(e)}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=r,u=r,r.__name__=\"TableWidget\",u.define((({Ref:e})=>({source:[e(o.ColumnDataSource),()=>new o.ColumnDataSource],view:[e(a.CDSView),()=>new a.CDSView]})))},\n      514: function _(t,e,i,r,o){var l;r();const d=t(493),n=t(490),a=t(34),s=t(20),u=t(53);class f extends u.Model{constructor(t){super(t)}toColumn(){var t;return{id:(0,a.uniqueId)(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=f,l=f,f.__name__=\"TableColumn\",l.define((({Boolean:t,Number:e,String:i,Nullable:r,Ref:o})=>({field:[i],title:[r(i),null],width:[e,300],formatter:[o(d.StringFormatter),()=>new d.StringFormatter],editor:[o(n.StringEditor),()=>new n.StringEditor],sortable:[t,!0],default_sort:[s.Sort,\"ascending\"],visible:[t,!0]})))},\n      515: function _(A,o,e,r,i){r(),e.root=\"bk-root\",e.default='.bk-root{}.bk-root .slick-header.ui-state-default,.bk-root .slick-headerrow.ui-state-default,.bk-root .slick-footerrow.ui-state-default,.bk-root .slick-top-panel-scroller.ui-state-default,.bk-root .slick-group-header.ui-state-default{width:100%;overflow:auto;position:relative;border-left:0px !important;}.bk-root .slick-header.ui-state-default{overflow:inherit;}.bk-root .slick-header::-webkit-scrollbar,.bk-root .slick-headerrow::-webkit-scrollbar,.bk-root .slick-footerrow::-webkit-scrollbar{display:none;}.bk-root .slick-header-columns,.bk-root .slick-headerrow-columns,.bk-root .slick-footerrow-columns,.bk-root .slick-group-header-columns{position:relative;white-space:nowrap;cursor:default;overflow:hidden;}.bk-root .slick-header-column.ui-state-default,.bk-root .slick-group-header-column.ui-state-default{position:relative;display:inline-block;box-sizing:content-box !important;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;height:16px;line-height:16px;margin:0;padding:4px;border-right:1px solid silver;border-left:0px !important;border-top:0px !important;border-bottom:0px !important;float:left;}.bk-root .slick-footerrow-column.ui-state-default{-o-text-overflow:ellipsis;text-overflow:ellipsis;margin:0;padding:4px;border-right:1px solid silver;border-left:0px;border-top:0px;border-bottom:0px;float:left;line-height:20px;vertical-align:middle;}.bk-root .slick-headerrow-column.ui-state-default,.bk-root .slick-footerrow-column.ui-state-default{padding:4px;}.bk-root .slick-header-column-sorted{font-style:italic;}.bk-root .slick-sort-indicator{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:6px;float:left;}.bk-root .slick-sort-indicator-numbered{display:inline-block;width:8px;height:5px;margin-left:4px;margin-top:0;line-height:20px;float:left;font-family:Arial;font-style:normal;font-weight:bold;color:#6190CD;}.bk-root .slick-sort-indicator-desc{background:url(images/sort-desc.gif);}.bk-root .slick-sort-indicator-asc{background:url(images/sort-asc.gif);}.bk-root .slick-resizable-handle{position:absolute;font-size:0.1px;display:block;cursor:col-resize;width:9px;right:-5px;top:0;height:100%;z-index:1;}.bk-root .slick-sortable-placeholder{background:silver;}.bk-root .grid-canvas{position:relative;outline:0;}.bk-root .slick-row.ui-widget-content,.bk-root .slick-row.ui-state-active{position:absolute;border:0px;width:100%;}.bk-root .slick-cell,.bk-root .slick-headerrow-column,.bk-root .slick-footerrow-column{position:absolute;border:1px solid transparent;border-right:1px dotted silver;border-bottom-color:silver;overflow:hidden;-o-text-overflow:ellipsis;text-overflow:ellipsis;vertical-align:middle;z-index:1;padding:1px 2px 2px 1px;margin:0;white-space:nowrap;cursor:default;}.bk-root .slick-cell,.bk-root .slick-headerrow-column{border-bottom-color:silver;}.bk-root .slick-footerrow-column{border-top-color:silver;}.bk-root .slick-group-toggle{display:inline-block;}.bk-root .slick-cell.highlighted{background:lightskyblue;background:rgba(0, 0, 255, 0.2);-webkit-transition:all 0.5s;-moz-transition:all 0.5s;-o-transition:all 0.5s;transition:all 0.5s;}.bk-root .slick-cell.flashing{border:1px solid red !important;}.bk-root .slick-cell.editable{z-index:11;overflow:visible;background:white;border-color:black;border-style:solid;}.bk-root .slick-cell:focus{outline:none;}.bk-root .slick-reorder-proxy{display:inline-block;background:blue;opacity:0.15;cursor:move;}.bk-root .slick-reorder-guide{display:inline-block;height:2px;background:blue;opacity:0.7;}.bk-root .slick-selection{z-index:10;position:absolute;border:2px dashed black;}.bk-root .slick-pane{position:absolute;outline:0;overflow:hidden;width:100%;}.bk-root .slick-pane-header{display:block;}.bk-root .slick-header{overflow:hidden;position:relative;}.bk-root .slick-headerrow{overflow:hidden;position:relative;}.bk-root .slick-top-panel-scroller{overflow:hidden;position:relative;}.bk-root .slick-top-panel{width:10000px;}.bk-root 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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 ? 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e.getProperty(\"color\")&&(r.mathcolor=e.getProperty(\"color\")),this.Push(this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.CLOSE}),this.create(\"token\",\"mo\",r,e.getProperty(\"delim\")),this.create(\"node\",\"TeXAtom\",[],{texClass:p.TEXCLASS.OPEN})),this.env={},[[this],!0]}return t.prototype.checkItem.call(this,e)},e.errors=Object.assign(Object.create(y.BaseItem.errors),{stop:[\"ExtraLeftMissingRight\",\"Extra \\\\left or missing \\\\right\"]}),e}(y.BaseItem);r.LeftItem=O;var k=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"middle\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.Middle=k;var j=function(t){function e(e,r,n){var i=t.call(this,e)||this;return i.setProperty(\"delim\",r),n&&i.setProperty(\"color\",n),i}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"right\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isClose\",{get:function(){return!0},enumerable:!1,configurable:!0}),e}(y.BaseItem);r.RightItem=j;var E=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"begin\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isOpen\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind(\"end\")){if(e.getName()!==this.getName())throw new f.default(\"EnvBadEnd\",\"\\\\begin{%1} ended with \\\\end{%2}\",this.getName(),e.getName());return this.getProperty(\"end\")?y.BaseItem.fail:[[this.factory.create(\"mml\",this.toMml())],!0]}if(e.isKind(\"stop\"))throw new f.default(\"EnvMissingEnd\",\"Missing 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n=e.First;if(!e.isKind(\"mml\")||!n)return[[r,e],!0];if(d.default.isType(n,\"mstyle\")&&n.childNodes.length&&d.default.isType(n.childNodes[0].childNodes[0],\"mspace\")||d.default.isType(n,\"mspace\"))return[[r,e],!0];d.default.isEmbellished(n)&&(n=d.default.getCoreMO(n));var i=d.default.getForm(n);if(null!=i&&[0,0,1,1,0,1,1,0,0,0][i[2]])return[[r,e],!0]}var o=this.create(\"token\",\"mo\",{texClass:p.TEXCLASS.NONE},c.entities.ApplyFunction);return[[r,o,e],!0]}return t.prototype.checkItem.apply(this,arguments)},e}(y.BaseItem);r.FnItem=A;var S=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.remap=l.MapHandler.getMap(\"not_remap\"),e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"not\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){var e,r,n;if(t.isKind(\"open\")||t.isKind(\"left\"))return 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e=t.First;if(e.isKind(\"mstyle\")&&e.notParent&&(e=d.default.getChildren(d.default.getChildren(e)[0])[0]),e.isKind(\"mspace\")){if(e!==t.First){var r=this.create(\"node\",\"mrow\",[t.Pop()]);t.Push(r)}this.factory.configuration.addNode(\"nonscript\",t.First)}}return[[t],!0]},e}(y.BaseItem);r.NonscriptItem=K;var F=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"dots\"},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(t){if(t.isKind(\"open\")||t.isKind(\"left\"))return y.BaseItem.success;var e=this.getProperty(\"ldots\"),r=t.First;if(t.isKind(\"mml\")&&d.default.isEmbellished(r)){var n=d.default.getTexClass(d.default.getCoreMO(r));n!==p.TEXCLASS.BIN&&n!==p.TEXCLASS.REL||(e=this.getProperty(\"cdots\"))}return[[e,t],!0]},e}(y.BaseItem);r.DotsItem=F;var N=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return 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t=this.arraydef.scriptlevel;delete this.arraydef.scriptlevel;var e=this.create(\"node\",\"mtable\",this.table,this.arraydef);return t&&e.setProperty(\"scriptlevel\",t),4===this.frame.length?d.default.setAttribute(e,\"frame\",this.dashed?\"dashed\":\"solid\"):this.frame.length&&(this.arraydef.rowlines&&(this.arraydef.rowlines=this.arraydef.rowlines.replace(/none( none)+$/,\"none\")),d.default.setAttribute(e,\"frame\",\"\"),e=this.create(\"node\",\"menclose\",[e],{notation:this.frame.join(\" \")}),\"none\"===(this.arraydef.columnlines||\"none\")&&\"none\"===(this.arraydef.rowlines||\"none\")||d.default.setAttribute(e,\"data-padding\",0)),(this.getProperty(\"open\")||this.getProperty(\"close\"))&&(e=h.default.fenced(this.factory.configuration,this.getProperty(\"open\"),e,this.getProperty(\"close\"))),e},e.prototype.EndEntry=function(){var t=this.create(\"node\",\"mtd\",this.nodes);this.hfill.length&&(0===this.hfill[0]&&d.default.setAttribute(t,\"columnalign\",\"right\"),this.hfill[this.hfill.length-1]===this.Size()&&d.default.setAttribute(t,\"columnalign\",d.default.getAttribute(t,\"columnalign\")?\"center\":\"left\")),this.row.push(t),this.Clear(),this.hfill=[]},e.prototype.EndRow=function(){var t;this.getProperty(\"isNumbered\")&&3===this.row.length?(this.row.unshift(this.row.pop()),t=this.create(\"node\",\"mlabeledtr\",this.row)):t=this.create(\"node\",\"mtr\",this.row),this.table.push(t),this.row=[]},e.prototype.EndTable=function(){(this.Size()||this.row.length)&&(this.EndEntry(),this.EndRow()),this.checkLines()},e.prototype.checkLines=function(){if(this.arraydef.rowlines){var t=this.arraydef.rowlines.split(/ /);t.length===this.table.length?(this.frame.push(\"bottom\"),t.pop(),this.arraydef.rowlines=t.join(\" \")):t.length<this.table.length-1&&(this.arraydef.rowlines+=\" 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s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"eqnarray\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.row.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.create(\"node\",\"mtd\",this.nodes);this.row.push(t),this.Clear()},e.prototype.EndRow=function(){this.row.length>this.maxrow&&(this.maxrow=this.row.length);var t=\"mtr\",e=this.factory.configuration.tags.getTag();e&&(this.row=[e].concat(this.row),t=\"mlabeledtr\"),this.factory.configuration.tags.clearTag();var r=this.create(\"node\",t,this.row);this.table.push(r),this.row=[]},e.prototype.EndTable=function(){t.prototype.EndTable.call(this),this.factory.configuration.tags.end(),this.extendArray(\"columnalign\",this.maxrow),this.extendArray(\"columnwidth\",this.maxrow),this.extendArray(\"columnspacing\",this.maxrow-1)},e.prototype.extendArray=function(t,e){if(this.arraydef[t]){var r=this.arraydef[t].split(/ 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e,r,a=this.adaptor,i=!1,o=a.kind(t).replace(/^.*:/,\"\"),l=a.getAttribute(t,\"data-mjx-texclass\")||\"\";l&&(l=this.filterAttribute(\"data-mjx-texclass\",l)||\"\");var c=l&&\"mrow\"===o?\"TeXAtom\":o;try{for(var h=s(this.filterClassList(a.allClasses(t))),d=h.next();!d.done;d=h.next()){var u=d.value;u.match(/^MJX-TeXAtom-/)?(l=u.substr(12),c=\"TeXAtom\"):\"MJX-fixedlimits\"===u&&(i=!0)}}catch(t){e={error:t}}finally{try{d&&!d.done&&(r=h.return)&&r.call(h)}finally{if(e)throw e.error}}this.factory.getNodeClass(c)||this.error('Unknown node type \"'+c+'\"');var p=this.factory.create(c);return\"TeXAtom\"!==c||\"OP\"!==l||i||(p.setProperty(\"movesupsub\",!0),p.attributes.setInherited(\"movablelimits\",!0)),l&&(p.texClass=n.TEXCLASS[l],p.setProperty(\"texClass\",p.texClass)),this.addAttributes(p,t),this.checkClass(p,t),this.addChildren(p,t),p},t.prototype.addAttributes=function(t,e){var r,a,i=!1;try{for(var o=s(this.adaptor.allAttributes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=l.name,h=this.filterAttribute(c,l.value);if(null!==h&&\"xmlns\"!==c)if(\"data-mjx-\"===c.substr(0,9))\"data-mjx-alternate\"===c?t.setProperty(\"variantForm\",!0):\"data-mjx-variant\"===c?(t.attributes.set(\"mathvariant\",h),i=!0):\"data-mjx-smallmatrix\"===c?(t.setProperty(\"scriptlevel\",1),t.setProperty(\"useHeight\",!1)):\"data-mjx-accent\"===c?t.setProperty(\"mathaccent\",\"true\"===h):\"data-mjx-auto-op\"===c&&t.setProperty(\"autoOP\",\"true\"===h);else if(\"class\"!==c){var d=h.toLowerCase();\"true\"===d||\"false\"===d?t.attributes.set(c,\"true\"===d):i&&\"mathvariant\"===c||t.attributes.set(c,h)}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}},t.prototype.filterAttribute=function(t,e){return e},t.prototype.filterClassList=function(t){return t},t.prototype.addChildren=function(t,e){var r,a;if(0!==t.arity){var i=this.adaptor;try{for(var o=s(i.childNodes(e)),n=o.next();!n.done;n=o.next()){var l=n.value,c=i.kind(l);if(\"#comment\"!==c)if(\"#text\"===c)this.addText(t,l);else if(t.isKind(\"annotation-xml\"))t.appendChild(this.factory.create(\"XML\").setXML(l,i));else{var h=t.appendChild(this.makeNode(l));0===h.arity&&i.childNodes(l).length&&(this.options.fixMisplacedChildren?this.addChildren(t,l):h.mError(\"There should not be children for \"+h.kind+\" nodes\",this.options.verify,!0))}}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}}},t.prototype.addText=function(t,e){var r=this.adaptor.value(e);(t.isToken||t.getProperty(\"isChars\"))&&t.arity?(t.isToken&&(r=c.translate(r),r=this.trimSpace(r)),t.appendChild(this.factory.create(\"text\").setText(r))):r.match(/\\S/)&&this.error('Unexpected text node \"'+r+'\"')},t.prototype.checkClass=function(t,e){var r,a,i=[];try{for(var o=s(this.filterClassList(this.adaptor.allClasses(e))),n=o.next();!n.done;n=o.next()){var l=n.value;\"MJX-\"===l.substr(0,4)?\"MJX-variant\"===l?t.setProperty(\"variantForm\",!0):\"MJX-TeXAtom\"!==l.substr(0,11)&&t.attributes.set(\"mathvariant\",this.fixCalligraphic(l.substr(3))):i.push(l)}}catch(t){r={error:t}}finally{try{n&&!n.done&&(a=o.return)&&a.call(o)}finally{if(r)throw r.error}}i.length&&t.attributes.set(\"class\",i.join(\" \"))},t.prototype.fixCalligraphic=function(t){return t.replace(/caligraphic/,\"calligraphic\")},t.prototype.markMrows=function(t){if(t.isKind(\"mrow\")&&!t.isInferred&&t.childNodes.length>=2){var e=t.childNodes[0],r=t.childNodes[t.childNodes.length-1];e.isKind(\"mo\")&&e.attributes.get(\"fence\")&&e.attributes.get(\"stretchy\")&&r.isKind(\"mo\")&&r.attributes.get(\"fence\")&&r.attributes.get(\"stretchy\")&&(e.childNodes.length&&t.setProperty(\"open\",e.getText()),r.childNodes.length&&t.setProperty(\"close\",r.getText()))}},t.prototype.trimSpace=function(t){return t.replace(/[\\t\\n\\r]/g,\" \").replace(/^ +/,\"\").replace(/ +$/,\"\").replace(/  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i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,n,r=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=r.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(i=r.return)&&i.call(r)}finally{if(n)throw n.error}}return s};o();var c=t(566),l=t(570),p=t(661),f=t(713),u=t(530),d=t(560);i.SVGNS=\"http://www.w3.org/2000/svg\",i.XLINKNS=\"http://www.w3.org/1999/xlink\";var y=function(t){function e(e){void 0===e&&(e=null);var i=t.call(this,e,l.SVGWrapperFactory,p.TeXFont)||this;return i.minwidth=0,i.shift=0,i.container=null,i.svgStyles=null,i.fontCache=new f.FontCache(i),i}return 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n=o.getAttribute(this.container,\"justify\")||\"center\";this.setIndent(e,n,this.shift)}},e.prototype.setIndent=function(t,e,i){\"center\"!==e&&\"left\"!==e||this.adaptor.setStyle(t,\"margin-left\",this.ex(i)),\"center\"!==e&&\"right\"!==e||this.adaptor.setStyle(t,\"margin-right\",this.ex(-i))},e.prototype.ex=function(t){return t/=this.font.params.x_height,Math.abs(t)<.001?\"0\":t.toFixed(3).replace(/\\.?0+$/,\"\")+\"ex\"},e.prototype.svg=function(t,e,o){return void 0===e&&(e={}),void 0===o&&(o=[]),this.html(t,e,o,i.SVGNS)},e.prototype.unknownText=function(t,e){var i=this.math.metrics,o=this.font.params.x_height/i.ex*i.em*1e3,n=this.svg(\"text\",{\"data-variant\":e,transform:\"scale(1,-1)\",\"font-size\":this.fixed(o,1)+\"px\"},[this.text(t)]),r=this.adaptor;if(\"-explicitFont\"!==e){var s=u.unicodeChars(t);if(1!==s.length||s[0]<119808||s[0]>120831){var a=h(this.font.getCssFont(e),3),c=a[0],l=a[1],p=a[2];r.setAttribute(n,\"font-family\",c),l&&r.setAttribute(n,\"font-style\",\"italic\"),p&&r.setAttribute(n,\"font-weight\",\"bold\")}}return n},e.prototype.measureTextNode=function(t){var e=this.adaptor;t=e.clone(t),e.removeAttribute(t,\"transform\");var i=this.fixed(1e3*this.font.params.x_height,1),o=this.svg(\"svg\",{position:\"absolute\",visibility:\"hidden\",width:\"1ex\",height:\"1ex\",viewBox:[0,0,i,i].join(\" \")},[t]);e.append(e.body(e.document),o);var n=e.nodeSize(t,1e3,!0)[0];return e.remove(o),{w:n,h:.75,d:.2}},e.NAME=\"SVG\",e.OPTIONS=a(a({},c.CommonOutputJax.OPTIONS),{internalSpeechTitles:!0,titleID:0,fontCache:\"local\",localID:null}),e.commonStyles={'mjx-container[jax=\"SVG\"]':{direction:\"ltr\"},'mjx-container[jax=\"SVG\"] > svg':{overflow:\"visible\",\"min-height\":\"1px\",\"min-width\":\"1px\"},'mjx-container[jax=\"SVG\"] > svg 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i=h(t.math),s=i.next();!s.done;s=i.next()){var a=s.value,l=n.parent(a.start.node);if(a.state()<p.STATE.METRICS&&l){var c=r[a.display?1:0].get(l),y=c.em,u=c.ex,d=c.containerWidth,f=c.lineWidth,m=c.scale,x=c.family;a.setMetrics(y,u,d,f,m),this.options.mtextInheritFont&&(a.outputData.mtextFamily=x),this.options.merrorInheritFont&&(a.outputData.merrorFamily=x),a.state(p.STATE.METRICS)}}}catch(t){e={error:t}}finally{try{s&&!s.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}},e.prototype.getMetricsFor=function(t,e){var o=this.options.mtextInheritFont||this.options.merrorInheritFont,n=this.getTestElement(t,e),r=this.measureMetrics(n,o);return this.adaptor.remove(n),r},e.prototype.getMetricMaps=function(t){var e,o,n,r,i,s,a,l,c,y,u=this.adaptor,d=[new Map,new Map];try{for(var f=h(t.math),m=f.next();!m.done;m=f.next()){var x=m.value;if((C=u.parent(x.start.node))&&x.state()<p.STATE.METRICS){var v=d[x.display?1:0];v.has(C)||v.set(C,this.getTestElement(C,x.display))}}}catch(t){e={error:t}}finally{try{m&&!m.done&&(o=f.return)&&o.call(f)}finally{if(e)throw e.error}}var S=this.options.mtextInheritFont||this.options.merrorInheritFont,g=[new Map,new Map];try{for(var w=h(g.keys()),b=w.next();!b.done;b=w.next()){var M=b.value;try{for(var F=(i=void 0,h(d[M].keys())),T=F.next();!T.done;T=F.next()){var C=T.value;g[M].set(C,this.measureMetrics(d[M].get(C),S))}}catch(t){i={error:t}}finally{try{T&&!T.done&&(s=F.return)&&s.call(F)}finally{if(i)throw i.error}}}}catch(t){n={error:t}}finally{try{b&&!b.done&&(r=w.return)&&r.call(w)}finally{if(n)throw n.error}}try{for(var O=h(g.keys()),I=O.next();!I.done;I=O.next()){M=I.value;try{for(var _=(c=void 0,h(d[M].values())),j=_.next();!j.done;j=_.next()){C=j.value;u.remove(C)}}catch(t){c={error:t}}finally{try{j&&!j.done&&(y=_.return)&&y.call(_)}finally{if(c)throw c.error}}}}catch(t){a={error:t}}finally{try{I&&!I.done&&(l=O.return)&&l.call(O)}finally{if(a)throw a.error}}return g},e.prototype.getTestElement=function(t,e){var o=this.adaptor;if(!this.testInline){this.testInline=this.html(\"mjx-test\",{style:{display:\"inline-block\",width:\"100%\",\"font-style\":\"normal\",\"font-weight\":\"normal\",\"font-size\":\"100%\",\"font-size-adjust\":\"none\",\"text-indent\":0,\"text-transform\":\"none\",\"letter-spacing\":\"normal\",\"word-spacing\":\"normal\",overflow:\"hidden\",height:\"1px\",\"margin-right\":\"-1px\"}},[this.html(\"mjx-left-box\",{style:{display:\"inline-block\",width:0,float:\"left\"}}),this.html(\"mjx-ex-box\",{style:{position:\"absolute\",overflow:\"hidden\",width:\"1px\",height:\"60ex\"}}),this.html(\"mjx-right-box\",{style:{display:\"inline-block\",width:0,float:\"right\"}})]),this.testDisplay=o.clone(this.testInline),o.setStyle(this.testDisplay,\"display\",\"table\"),o.setStyle(this.testDisplay,\"margin-right\",\"\"),o.setStyle(o.firstChild(this.testDisplay),\"display\",\"none\");var n=o.lastChild(this.testDisplay);o.setStyle(n,\"display\",\"table-cell\"),o.setStyle(n,\"width\",\"10000em\"),o.setStyle(n,\"float\",\"\")}return o.append(t,o.clone(e?this.testDisplay:this.testInline))},e.prototype.measureMetrics=function(t,e){var o=this.adaptor,n=e?o.fontFamily(t):\"\",r=o.fontSize(t),i=l(o.nodeSize(o.childNode(t,1)),2),s=i[0],a=i[1],h=s?a/60:r*this.options.exFactor;return{em:r,ex:h,containerWidth:s?\"table\"===o.getStyle(t,\"display\")?o.nodeSize(o.lastChild(t))[0]-1:o.nodeBBox(o.lastChild(t)).left-o.nodeBBox(o.firstChild(t)).left-2:1e6,lineWidth:1e6,scale:Math.max(this.options.minScale,this.options.matchFontHeight?h/this.font.params.x_height/r:1),family:n}},e.prototype.styleSheet=function(t){var e,o;if(this.setDocument(t),this.cssStyles.clear(),this.cssStyles.addStyles(this.constructor.commonStyles),\"getStyles\"in t)try{for(var n=h(t.getStyles()),r=n.next();!r.done;r=n.next()){var 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e=this.adaptor,o=this.html(\"mjx-xml-block\",{style:{display:\"inline-block\"}},[e.clone(t)]),n=this.html(\"mjx-baseline\",{style:{display:\"inline-block\",width:0,height:0}}),r=this.html(\"mjx-measure-xml\",{style:{position:\"absolute\",display:\"inline-block\",\"font-family\":\"initial\",\"line-height\":\"normal\"}},[n,o]);e.append(e.parent(this.math.start.node),this.container),e.append(this.container,r);var i=this.math.metrics.em*this.math.metrics.scale,s=e.nodeBBox(o),a=s.left,l=s.right,h=s.bottom,c=s.top,p=(l-a)/i,y=(e.nodeBBox(n).top-c)/i,u=(h-c)/i-y;return e.remove(this.container),e.remove(r),{w:p,h:y,d:u}},e.prototype.cssFontStyles=function(t,e){void 0===e&&(e={});var o=l(t,3),n=o[0],r=o[1],i=o[2];return e[\"font-family\"]=this.font.getFamily(n),r&&(e[\"font-style\"]=\"italic\"),i&&(e[\"font-weight\"]=\"bold\"),e},e.prototype.getFontData=function(t){return t||(t=new 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f=t(577),l=t(530),y=t(578);r.DirectionVH=((s={})[1]=\"v\",s[2]=\"h\",s),r.CommonMoMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var i=t.apply(this,u([],c(e)))||this;return i.size=null,i.isAccent=i.node.isAccent,i}return a(e,t),e.prototype.computeBBox=function(t,e){if(void 0===e&&(e=!1),this.protoBBox(t),this.node.attributes.get(\"symmetric\")&&2!==this.stretch.dir){var r=this.getCenterOffset(t);t.h+=r,t.d-=r}this.node.getProperty(\"mathaccent\")&&(0===this.stretch.dir||this.size>=0)&&(t.w=0)},e.prototype.protoBBox=function(e){var r=0!==this.stretch.dir;r&&null===this.size&&this.getStretchedVariant([0]),r&&this.size<0||(t.prototype.computeBBox.call(this,e),this.copySkewIC(e))},e.prototype.getAccentOffset=function(){var t=f.BBox.empty();return this.protoBBox(t),-t.w/2},e.prototype.getCenterOffset=function(e){return void 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n=t.apply(this,l([],a(e)))||this;if(n.bevel=null,n.pad=n.node.getProperty(\"withDelims\")?0:n.font.params.nulldelimiterspace,n.node.attributes.get(\"bevelled\")){var i=n.getBevelData(n.isDisplay()).H,r=n.bevel=n.createMo(\"/\");r.node.attributes.set(\"symmetric\",!0),r.canStretch(1),r.getStretchedVariant([i],!0)}return n}return s(e,t),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.empty();var o=this.node.attributes.getList(\"linethickness\",\"bevelled\"),n=o.linethickness,i=o.bevelled,r=this.isDisplay(),s=null;if(i)this.getBevelledBBox(t,r);else{var a=this.length2em(String(n),.06);s=-2*this.pad,0===a?this.getAtopBBox(t,r):(this.getFractionBBox(t,r,a),s-=.2),s+=t.w}t.clean(),this.setChildPWidths(e,s)},e.prototype.getFractionBBox=function(t,e,o){var n=this.childNodes[0].getBBox(),i=this.childNodes[1].getBBox(),r=this.font.params.axis_height,s=this.getTUV(e,o),a=s.T,l=s.u,h=s.v;t.combine(n,0,r+a+Math.max(n.d*n.rscale,l)),t.combine(i,0,r-a-Math.max(i.h*i.rscale,h)),t.w+=2*this.pad+.2},e.prototype.getTUV=function(t,e){var o=this.font.params,n=o.axis_height,i=(t?3.5:1.5)*e;return{T:(t?3.5:1.5)*e,u:(t?o.num1:o.num2)-n-i,v:(t?o.denom1:o.denom2)+n-i}},e.prototype.getAtopBBox=function(t,e){var o=this.getUVQ(e),n=o.u,i=o.v,r=o.nbox,s=o.dbox;t.combine(r,0,n),t.combine(s,0,-i),t.w+=2*this.pad},e.prototype.getUVQ=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=this.font.params,i=a(t?[n.num1,n.denom1]:[n.num3,n.denom2],2),r=i[0],s=i[1],l=(t?7:3)*n.rule_thickness,h=r-e.d*e.scale-(o.h*o.scale-s);return h<l&&(r+=(l-h)/2,s+=(l-h)/2,h=l),{u:r,v:s,q:h,nbox:e,dbox:o}},e.prototype.getBevelledBBox=function(t,e){var o=this.getBevelData(e),n=o.u,i=o.v,r=o.delta,s=o.nbox,a=o.dbox,l=this.bevel.getBBox();t.combine(s,0,n),t.combine(l,t.w-r/2,0),t.combine(a,t.w-r/2,i)},e.prototype.getBevelData=function(t){var e=this.childNodes[0].getBBox(),o=this.childNodes[1].getBBox(),n=t?.4:.15,i=Math.max(e.scale*(e.h+e.d),o.scale*(o.h+o.d))+2*n,r=this.font.params.axis_height;return{H:i,delta:n,u:e.scale*(e.d-e.h)/2+r+n,v:o.scale*(o.d-o.h)/2+r-n,nbox:e,dbox:o}},e.prototype.canStretch=function(t){return!1},e.prototype.isDisplay=function(){var t=this.node.attributes.getList(\"displaystyle\",\"scriptlevel\"),e=t.displaystyle,o=t.scriptlevel;return e&&0===o},e.prototype.getWrapWidth=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?this.childNodes[t].getBBox().w:this.getBBox().w-(this.length2em(e.get(\"linethickness\"))?.2:0)-2*this.pad},e.prototype.getChildAlign=function(t){var e=this.node.attributes;return e.get(\"bevelled\")?\"left\":e.get([\"numalign\",\"denomalign\"][t])},e}(t)}},\n      611: function _(t,e,r,n,o){var i,l=this&&this.__extends||(i=function(t,e){return i=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])},i(t,e)},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}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)},u=this&&this.__values||function(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.\")};n();var a=t(533),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfrac\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=u(this.childNodes),o=n.next();!o.done;o=n.next()){o.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){(!e||r>0)&&r++,this.childNodes[0].setInheritedAttributes(t,!1,r,n),this.childNodes[1].setInheritedAttributes(t,!1,r,!0)},e.defaults=s(s({},a.AbstractMmlBaseNode.defaults),{linethickness:\"medium\",numalign:\"center\",denomalign:\"center\",bevelled:!1}),e}(a.AbstractMmlBaseNode);r.MmlMfrac=c},\n      612: function _(t,o,i,s,n){var e,r=this&&this.__extends||(e=function(t,o){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var i in o)Object.prototype.hasOwnProperty.call(o,i)&&(t[i]=o[i])},e(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function i(){this.constructor=t}e(t,o),t.prototype=null===o?Object.create(o):(i.prototype=o.prototype,new i)});s();var h=t(574),p=t(613),a=t(614),d=function(t){function o(){var o=null!==t&&t.apply(this,arguments)||this;return o.dx=0,o}return r(o,t),o.prototype.toSVG=function(t){var o=this.childNodes[this.surd],i=this.childNodes[this.base],s=this.root?this.childNodes[this.root]:null,n=this.getBBox(),e=o.getBBox(),r=i.getBBox(),h=this.getPQ(e)[1],p=this.font.params.rule_thickness*this.bbox.scale,a=r.h+h+p,d=this.standardSVGnode(t),c=this.adaptor.append(d,this.svg(\"g\"));this.addRoot(d,s,e,a),o.toSVG(d),o.place(this.dx,n.h-e.h-p),i.toSVG(c),i.place(this.dx+e.w,0),this.adaptor.append(d,this.svg(\"rect\",{width:this.fixed(r.w),height:this.fixed(p),x:this.fixed(this.dx+e.w),y:this.fixed(n.h-2*p)}))},o.prototype.addRoot=function(t,o,i,s){},o.kind=a.MmlMsqrt.prototype.kind,o}(p.CommonMsqrtMixin(h.SVGWrapper));i.SVGmsqrt=d},\n      613: function _(t,e,r,o,n){var i,s=this&&this.__extends||(i=function(t,e){return i=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])},i(t,e)},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}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)s.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return s},a=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var c=t(577);r.CommonMsqrtMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,a([],u(e)))||this,n=o.createMo(\"\\u221a\");n.canStretch(1);var i=o.childNodes[o.base].getBBox(),s=i.h,c=i.d,h=o.font.params.rule_thickness,p=o.node.attributes.get(\"displaystyle\")?o.font.params.x_height:h;return o.surdH=s+c+2*h+p/4,n.getStretchedVariant([o.surdH-c,c],!0),o}return s(e,t),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"surd\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"root\",{get:function(){return null},enumerable:!1,configurable:!0}),e.prototype.createMo=function(e){var r=t.prototype.createMo.call(this,e);return this.childNodes.push(r),r},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var r=this.childNodes[this.surd].getBBox(),o=new c.BBox(this.childNodes[this.base].getBBox()),n=this.getPQ(r)[1],i=this.font.params.rule_thickness,s=o.h+n+i,a=u(this.getRootDimens(r,s),1)[0];t.h=s+i,this.combineRootBBox(t,r,s),t.combine(r,a,s-r.h),t.combine(o,a+r.w,0),t.clean(),this.setChildPWidths(e)},e.prototype.combineRootBBox=function(t,e,r){},e.prototype.getPQ=function(t){var e=this.font.params.rule_thickness,r=this.node.attributes.get(\"displaystyle\")?this.font.params.x_height:e;return[r,t.h+t.d>this.surdH?(t.h+t.d-(this.surdH-2*e-r/2))/2:e+r/4]},e.prototype.getRootDimens=function(t,e){return[0,0,0,0]},e}(t)}},\n      614: function _(t,e,r,n,o){var i,s=this&&this.__extends||(i=function(t,e){return i=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])},i(t,e)},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}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),u=this&&this.__assign||function(){return u=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},u.apply(this,arguments)};n();var c=t(533),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.ORD,e}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msqrt\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return-1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0)},e.defaults=u({},c.AbstractMmlNode.defaults),e}(c.AbstractMmlNode);r.MmlMsqrt=l},\n      615: function _(t,o,r,n,e){var i,c=this&&this.__extends||(i=function(t,o){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,o){t.__proto__=o}||function(t,o){for(var r in o)Object.prototype.hasOwnProperty.call(o,r)&&(t[r]=o[r])},i(t,o)},function(t,o){if(\"function\"!=typeof o&&null!==o)throw new TypeError(\"Class extends value \"+String(o)+\" is not a constructor or null\");function r(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(r.prototype=o.prototype,new r)}),l=this&&this.__read||function(t,o){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,e,i=r.call(t),c=[];try{for(;(void 0===o||o-- 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e(){this.constructor=t}i(t,o),t.prototype=null===o?Object.create(o):(e.prototype=o.prototype,new e)});r(),e.CommonMrootMixin=function(t){return function(t){function o(){return null!==t&&t.apply(this,arguments)||this}return c(o,t),Object.defineProperty(o.prototype,\"surd\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(o.prototype,\"root\",{get:function(){return 1},enumerable:!1,configurable:!0}),o.prototype.combineRootBBox=function(t,o,e){var r=this.childNodes[this.root].getBBox(),n=this.getRootDimens(o,e)[1];t.combine(r,0,n)},o.prototype.getRootDimens=function(t,o){var e=this.childNodes[this.surd],r=this.childNodes[this.root].getBBox(),n=(e.size<0?.5:.6)*t.w,i=r.w,c=r.rscale,u=Math.max(i,n/c),s=Math.max(0,u-i);return[u*c-n,this.rootHeight(r,t,e.size,o),s]},o.prototype.rootHeight=function(t,o,e,r){var n=o.h+o.d;return(e<0?1.9:.55*n)-(n-r)+Math.max(0,t.d*t.rscale)},o}(t)}},\n      617: function _(t,e,r,n,o){var s,i=this&&this.__extends||(s=function(t,e){return s=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])},s(t,e)},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}s(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},c.apply(this,arguments)};n();var u=t(533),l=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=u.TEXCLASS.ORD,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mroot\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){return this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this.childNodes[1].setTeXclass(null),this},e.prototype.setChildInheritedAttributes=function(t,e,r,n){this.childNodes[0].setInheritedAttributes(t,e,r,!0),this.childNodes[1].setInheritedAttributes(t,!1,r+2,n)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMroot=l},\n      618: function _(t,n,r,e,o){var i,l=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&(t[r]=n[r])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a 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i=l(this.childNodes.slice(1)),s=i.next();!s.done;s=i.next()){var a=s.value;this.addMo(o.separators[n++]),e.childNodes.push(a)}}catch(r){t={error:r}}finally{try{s&&!s.done&&(r=i.return)&&r.call(i)}finally{if(t)throw t.error}}this.addMo(o.close),e.stretchChildren()},r.prototype.addMo=function(t){if(t){var r=this.wrap(t);this.mrow.childNodes.push(r),r.parent=this.mrow}},r.prototype.computeBBox=function(t,r){void 0===r&&(r=!1),t.updateFrom(this.mrow.getBBox()),this.setChildPWidths(r)},r}(t)}},\n      620: function _(t,e,r,o,s){var n,i=this&&this.__extends||(n=function(t,e){return n=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])},n(t,e)},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}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,o=arguments.length;r<o;r++)for(var s in e=arguments[r])Object.prototype.hasOwnProperty.call(e,s)&&(t[s]=e[s]);return t},a.apply(this,arguments)},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,r=e&&t[e],o=0;if(r)return r.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var c=t(533),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.texclass=c.TEXCLASS.INNER,e.separators=[],e.open=null,e.close=null,e}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mfenced\"},enumerable:!1,configurable:!0}),e.prototype.setTeXclass=function(t){this.getPrevClass(t),this.open&&(t=this.open.setTeXclass(t)),this.childNodes[0]&&(t=this.childNodes[0].setTeXclass(t));for(var e=1,r=this.childNodes.length;e<r;e++)this.separators[e-1]&&(t=this.separators[e-1].setTeXclass(t)),this.childNodes[e]&&(t=this.childNodes[e].setTeXclass(t));return this.close&&(t=this.close.setTeXclass(t)),this.updateTeXclass(this.open),t},e.prototype.setChildInheritedAttributes=function(e,r,o,s){var n,i;this.addFakeNodes();try{for(var a=l([this.open,this.close].concat(this.separators)),c=a.next();!c.done;c=a.next()){var h=c.value;h&&h.setInheritedAttributes(e,r,o,s)}}catch(t){n={error:t}}finally{try{c&&!c.done&&(i=a.return)&&i.call(a)}finally{if(n)throw n.error}}t.prototype.setChildInheritedAttributes.call(this,e,r,o,s)},e.prototype.addFakeNodes=function(){var t,e,r=this.attributes.getList(\"open\",\"close\",\"separators\"),o=r.open,s=r.close,n=r.separators;if(o=o.replace(/[ \\t\\n\\r]/g,\"\"),s=s.replace(/[ \\t\\n\\r]/g,\"\"),n=n.replace(/[ \\t\\n\\r]/g,\"\"),o&&(this.open=this.fakeNode(o,{fence:!0,form:\"prefix\"},c.TEXCLASS.OPEN)),n){for(;n.length<this.childNodes.length-1;)n+=n.charAt(n.length-1);var i=0;try{for(var a=l(this.childNodes.slice(1)),h=a.next();!h.done;h=a.next()){h.value&&this.separators.push(this.fakeNode(n.charAt(i++)))}}catch(e){t={error:e}}finally{try{h&&!h.done&&(e=a.return)&&e.call(a)}finally{if(t)throw t.error}}}s&&(this.close=this.fakeNode(s,{fence:!0,form:\"postfix\"},c.TEXCLASS.CLOSE))},e.prototype.fakeNode=function(t,e,r){void 0===e&&(e={}),void 0===r&&(r=null);var o=this.factory.create(\"text\").setText(t),s=this.factory.create(\"mo\",e,[o]);return s.texClass=r,s.parent=this,s},e.defaults=a(a({},c.AbstractMmlNode.defaults),{open:\"(\",close:\")\",separators:\",\"}),e}(c.AbstractMmlNode);r.MmlMfenced=h},\n      621: function _(t,n,o,r,i){var e,s=this&&this.__extends||(e=function(t,n){return e=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},e(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}e(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)}),u=this&&this.__read||function(t,n){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var r,i,e=o.call(t),s=[];try{for(;(void 0===n||n-- >0)&&!(r=e.next()).done;)s.push(r.value)}catch(t){i={error:t}}finally{try{r&&!r.done&&(o=e.return)&&o.call(e)}finally{if(i)throw i.error}}return s};r();var p=t(622),l=t(624),a=t(624),c=t(624),f=t(625),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsub.prototype.kind,n}(l.CommonMsubMixin(p.SVGscriptbase));o.SVGmsub=h;var y=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.kind=f.MmlMsup.prototype.kind,n}(a.CommonMsupMixin(p.SVGscriptbase));o.SVGmsup=y;var d=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n.prototype.toSVG=function(t){var n=this.standardSVGnode(t),o=u([this.baseChild,this.supChild,this.subChild],3),r=o[0],i=o[1],e=o[2],s=this.getBaseWidth(),p=this.getAdjustedIc(),l=u(this.getUVQ(),2),a=l[0],c=l[1];r.toSVG(n),i.toSVG(n),e.toSVG(n),e.place(s,c),i.place(s+p,a)},n.kind=f.MmlMsubsup.prototype.kind,n}(c.CommonMsubsupMixin(p.SVGscriptbase));o.SVGmsubsup=d},\n      622: function _(t,r,o,n,e){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var o in r)Object.prototype.hasOwnProperty.call(r,o)&&(t[o]=r[o])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(o.prototype=r.prototype,new o)}),a=this&&this.__read||function(t,r){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var n,e,i=o.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){e={error:t}}finally{try{n&&!n.done&&(o=i.return)&&o.call(i)}finally{if(e)throw e.error}}return s};n();var c=t(574),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),o=this.getBaseWidth(),n=a(this.getOffset(),2),e=n[0],i=n[1];this.baseChild.toSVG(r),this.scriptChild.toSVG(r),this.scriptChild.place(o+e,i)},r.kind=\"scriptbase\",r}(t(623).CommonScriptbaseMixin(c.SVGWrapper));o.SVGscriptbase=l},\n      623: function _(e,t,r,i,n){var s,o=this&&this.__extends||(s=function(e,t){return s=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},s(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}s(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),a=this&&this.__read||function(e,t){var r=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!r)return e;var i,n,s=r.call(e),o=[];try{for(;(void 0===t||t-- >0)&&!(i=s.next()).done;)o.push(i.value)}catch(e){n={error:e}}finally{try{i&&!i.done&&(r=s.return)&&r.call(s)}finally{if(n)throw n.error}}return o},c=this&&this.__spreadArray||function(e,t){for(var r=0,i=t.length,n=e.length;r<i;r++,n++)e[n]=t[r];return e},h=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],i=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&i>=e.length&&(e=void 0),{value:e&&e[i++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};i(),r.CommonScriptbaseMixin=function(e){var t;return t=function(e){function t(){for(var t=[],r=0;r<arguments.length;r++)t[r]=arguments[r];var i=e.apply(this,c([],a(t)))||this;i.baseScale=1,i.baseIc=0,i.baseRemoveIc=!1,i.baseIsChar=!1,i.baseHasAccentOver=null,i.baseHasAccentUnder=null,i.isLineAbove=!1,i.isLineBelow=!1,i.isMathAccent=!1;var n=i.baseCore=i.getBaseCore();return n?(i.setBaseAccentsFor(n),i.baseScale=i.getBaseScale(),i.baseIc=i.getBaseIc(),i.baseIsChar=i.isCharBase(),i.isMathAccent=i.baseIsChar&&i.scriptChild&&!!i.scriptChild.coreMO().node.getProperty(\"mathaccent\"),i.checkLineAccents(),i.baseRemoveIc=!i.isLineAbove&&!i.isLineBelow&&(!i.constructor.useIC||i.isMathAccent),i):i}return o(t,e),Object.defineProperty(t.prototype,\"baseChild\",{get:function(){return this.childNodes[this.node.base]},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"scriptChild\",{get:function(){return this.childNodes[1]},enumerable:!1,configurable:!0}),t.prototype.getBaseCore=function(){for(var e=this.getSemanticBase()||this.childNodes[0];e&&(1===e.childNodes.length&&(e.node.isKind(\"mrow\")||e.node.isKind(\"TeXAtom\")||e.node.isKind(\"mstyle\")||e.node.isKind(\"mpadded\")||e.node.isKind(\"mphantom\")||e.node.isKind(\"semantics\"))||e.node.isKind(\"munderover\")&&e.isMathAccent);)this.setBaseAccentsFor(e),e=e.childNodes[0];return e||(this.baseHasAccentOver=this.baseHasAccentUnder=!1),e||this.childNodes[0]},t.prototype.setBaseAccentsFor=function(e){e.node.isKind(\"munderover\")&&(null===this.baseHasAccentOver&&(this.baseHasAccentOver=!!e.node.attributes.get(\"accent\")),null===this.baseHasAccentUnder&&(this.baseHasAccentUnder=!!e.node.attributes.get(\"accentunder\")))},t.prototype.getSemanticBase=function(){var e=this.node.attributes.getExplicit(\"data-semantic-fencepointer\");return this.getBaseFence(this.baseChild,e)},t.prototype.getBaseFence=function(e,t){var r,i;if(!e||!e.node.attributes||!t)return null;if(e.node.attributes.getExplicit(\"data-semantic-id\")===t)return e;try{for(var n=h(e.childNodes),s=n.next();!s.done;s=n.next()){var o=s.value,a=this.getBaseFence(o,t);if(a)return a}}catch(e){r={error:e}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return null},t.prototype.getBaseScale=function(){for(var e=this.baseCore,t=1;e&&e!==this;){t*=e.getBBox().rscale,e=e.parent}return t},t.prototype.getBaseIc=function(){return this.baseCore.getBBox().ic*this.baseScale},t.prototype.getAdjustedIc=function(){var e=this.baseCore.getBBox();return(e.ic?1.05*e.ic+.05:0)*this.baseScale},t.prototype.isCharBase=function(){var e=this.baseCore;return(e.node.isKind(\"mo\")&&null===e.size||e.node.isKind(\"mi\")||e.node.isKind(\"mn\"))&&1===e.bbox.rscale&&1===Array.from(e.getText()).length},t.prototype.checkLineAccents=function(){if(this.node.isKind(\"munderover\"))if(this.node.isKind(\"mover\"))this.isLineAbove=this.isLineAccent(this.scriptChild);else if(this.node.isKind(\"munder\"))this.isLineBelow=this.isLineAccent(this.scriptChild);else{this.isLineAbove=this.isLineAccent(this.overChild),this.isLineBelow=this.isLineAccent(this.underChild)}},t.prototype.isLineAccent=function(e){var t=e.coreMO().node;return t.isToken&&\"\\u2015\"===t.getText()},t.prototype.getBaseWidth=function(){var e=this.baseChild.getBBox();return e.w*e.rscale-(this.baseRemoveIc?this.baseIc:0)+this.font.params.extra_ic},t.prototype.computeBBox=function(e,t){void 0===t&&(t=!1);var r=this.getBaseWidth(),i=a(this.getOffset(),2),n=i[0],s=i[1];e.append(this.baseChild.getBBox()),e.combine(this.scriptChild.getBBox(),r+n,s),e.w+=this.font.params.scriptspace,e.clean(),this.setChildPWidths(t)},t.prototype.getOffset=function(){return[0,0]},t.prototype.baseCharZero=function(e){var t=!!this.baseCore.node.attributes.get(\"largeop\"),r=this.baseScale;return this.baseIsChar&&!t&&1===r?0:e},t.prototype.getV=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub1);return Math.max(this.baseCharZero(e.d*this.baseScale+r.sub_drop*t.rscale),i,t.h*t.rscale-.8*r.x_height)},t.prototype.getU=function(){var e=this.baseCore.getBBox(),t=this.scriptChild.getBBox(),r=this.font.params,i=this.node.attributes.getList(\"displaystyle\",\"superscriptshift\"),n=this.node.getProperty(\"texprimestyle\")?r.sup3:i.displaystyle?r.sup1:r.sup2,s=this.length2em(i.superscriptshift,n);return Math.max(this.baseCharZero(e.h*this.baseScale-r.sup_drop*t.rscale),s,t.d*t.rscale+1/4*r.x_height)},t.prototype.hasMovableLimits=function(){var e=this.node.attributes.get(\"displaystyle\"),t=this.baseChild.coreMO().node;return!e&&!!t.attributes.get(\"movablelimits\")},t.prototype.getOverKU=function(e,t){var r=this.node.attributes.get(\"accent\"),i=this.font.params,n=t.d*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentOver?s:0,a=this.isLineAbove?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing1,i.big_op_spacing3-Math.max(0,n)))-o;return[c,e.h*e.rscale+c+n]},t.prototype.getUnderKV=function(e,t){var r=this.node.attributes.get(\"accentunder\"),i=this.font.params,n=t.h*t.rscale,s=i.rule_thickness*i.separation_factor,o=this.baseHasAccentUnder?s:0,a=this.isLineBelow?3*i.rule_thickness:s,c=(r?a:Math.max(i.big_op_spacing2,i.big_op_spacing4-n))-o;return[c,-(e.d*e.rscale+c+n)]},t.prototype.getDeltaW=function(e,t){var r,i,n,s;void 0===t&&(t=[0,0,0]);var o=this.node.attributes.get(\"align\"),l=e.map((function(e){return e.w*e.rscale}));l[0]-=this.baseRemoveIc&&!this.baseCore.node.attributes.get(\"largeop\")?this.baseIc:0;var u=Math.max.apply(Math,c([],a(l))),d=[],p=0;try{for(var f=h(l.keys()),b=f.next();!b.done;b=f.next()){var y=b.value;d[y]=(\"center\"===o?(u-l[y])/2:\"right\"===o?u-l[y]:0)+t[y],d[y]<p&&(p=-d[y])}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}if(p)try{for(var g=h(d.keys()),v=g.next();!v.done;v=g.next()){y=v.value;d[y]+=p}}catch(e){n={error:e}}finally{try{v&&!v.done&&(s=g.return)&&s.call(g)}finally{if(n)throw n.error}}return[1,2].map((function(t){return d[t]+=e[t]?e[t].dx*e[0].scale:0})),d},t.prototype.getDelta=function(e){void 0===e&&(e=!1);var t=this.node.attributes.get(\"accent\"),r=this.baseCore.getBBox(),i=r.sk,n=r.ic;return((t&&!e?i:0)+this.font.skewIcFactor*n)*this.baseScale},t.prototype.stretchChildren=function(){var e,t,r,i,n,s,o=[];try{for(var a=h(this.childNodes),c=a.next();!c.done;c=a.next()){(C=c.value).canStretch(2)&&o.push(C)}}catch(t){e={error:t}}finally{try{c&&!c.done&&(t=a.return)&&t.call(a)}finally{if(e)throw e.error}}var l=o.length,u=this.childNodes.length;if(l&&u>1){var d=0,p=l>1&&l===u;try{for(var f=h(this.childNodes),b=f.next();!b.done;b=f.next()){var y=0===(C=b.value).stretch.dir;if(p||y){var g=C.getBBox(y),v=g.w,m=g.rscale;v*m>d&&(d=v*m)}}}catch(e){r={error:e}}finally{try{b&&!b.done&&(i=f.return)&&i.call(f)}finally{if(r)throw r.error}}try{for(var B=h(o),x=B.next();!x.done;x=B.next()){var C;(C=x.value).coreMO().getStretchedVariant([d/C.bbox.rscale])}}catch(e){n={error:e}}finally{try{x&&!x.done&&(s=B.return)&&s.call(B)}finally{if(n)throw n.error}}}},t}(e),t.useIC=!0,t}},\n      624: function _(t,e,i,r,n){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),u=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,n,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(r=o.next()).done;)s.push(r.value)}catch(t){n={error:t}}finally{try{r&&!r.done&&(i=o.return)&&i.call(o)}finally{if(n)throw n.error}}return s};r(),i.CommonMsubMixin=function(t){var e;return e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[0,-this.getV()]},e}(t),e.useIC=!1,e},i.CommonMsupMixin=function(t){return function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.getOffset=function(){return[this.getAdjustedIc()-(this.baseRemoveIc?0:this.baseIc),this.getU()]},e}(t)},i.CommonMsubsupMixin=function(t){var e;return e=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.UVQ=null,e}return s(e,t),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.childNodes[this.node.sub]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.childNodes[this.node.sup]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i=this.baseChild.getBBox(),r=u([this.subChild.getBBox(),this.supChild.getBBox()],2),n=r[0],o=r[1];t.empty(),t.append(i);var s=this.getBaseWidth(),h=this.getAdjustedIc(),c=u(this.getUVQ(),2),a=c[0],l=c[1];t.combine(n,s,l),t.combine(o,s+h,a),t.w+=this.font.params.scriptspace,t.clean(),this.setChildPWidths(e)},e.prototype.getUVQ=function(t,e){void 0===t&&(t=this.subChild.getBBox()),void 0===e&&(e=this.supChild.getBBox());var i=this.baseCore.getBBox();if(this.UVQ)return this.UVQ;var r=this.font.params,n=3*r.rule_thickness,o=this.length2em(this.node.attributes.get(\"subscriptshift\"),r.sub2),s=this.baseCharZero(i.d*this.baseScale+r.sub_drop*t.rscale),h=u([this.getU(),Math.max(s,o)],2),c=h[0],a=h[1],l=c-e.d*e.rscale-(t.h*t.rscale-a);if(l<n){a+=n-l;var p=.8*r.x_height-(c-e.d*e.rscale);p>0&&(c+=p,a-=p)}return c=Math.max(this.length2em(this.node.attributes.get(\"superscriptshift\"),c),c),a=Math.max(this.length2em(this.node.attributes.get(\"subscriptshift\"),a),a),l=c-e.d*e.rscale-(t.h*t.rscale-a),this.UVQ=[c,-a,l],this.UVQ},e}(t),e.useIC=!1,e}},\n      625: function _(t,e,r,n,o){var u,i=this&&this.__extends||(u=function(t,e){return u=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])},u(t,e)},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}u(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__assign||function(){return s=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},s.apply(this,arguments)};n();var p=t(533),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msubsup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,n){var o=this.childNodes;o[0].setInheritedAttributes(t,e,r,n),o[1].setInheritedAttributes(t,!1,r+1,n||1===this.sub),o[2]&&o[2].setInheritedAttributes(t,!1,r+1,n||2===this.sub)},e.defaults=s(s({},p.AbstractMmlBaseNode.defaults),{subscriptshift:\"\",superscriptshift:\"\"}),e}(p.AbstractMmlBaseNode);r.MmlMsubsup=c;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msub\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsub=f;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"msup\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sup\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"sub\",{get:function(){return 2},enumerable:!1,configurable:!0}),e.defaults=s({},c.defaults),e}(c);r.MmlMsup=a},\n      626: function _(t,e,o,i,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),l=this&&this.__read||function(t,e){var o=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!o)return t;var i,r,n=o.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(i=n.next()).done;)s.push(i.value)}catch(t){r={error:t}}finally{try{i&&!i.done&&(o=n.return)&&o.call(n)}finally{if(r)throw r.error}}return s};i();var a=t(621),h=t(627),p=t(627),u=t(627),c=t(628),d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineBelow?0:this.getDelta(!0),u=this.getUnderKV(a,h)[1],c=l(this.getDeltaW([a,h],[0,-p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMunder.prototype.kind,e}(h.CommonMunderMixin(a.SVGmsub));o.SVGmunder=d;var f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.scriptChild],2),r=i[0],n=i[1],s=l([r.getBBox(),n.getBBox()],2),a=s[0],h=s[1];r.toSVG(o),n.toSVG(o);var p=this.isLineAbove?0:this.getDelta(),u=this.getOverKU(a,h)[1],c=l(this.getDeltaW([a,h],[0,p]),2),d=c[0],f=c[1];r.place(d,0),n.place(f,u)}},e.kind=c.MmlMover.prototype.kind,e}(p.CommonMoverMixin(a.SVGmsup));o.SVGmover=f;var v=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(e){if(this.hasMovableLimits())t.prototype.toSVG.call(this,e);else{var o=this.standardSVGnode(e),i=l([this.baseChild,this.overChild,this.underChild],3),r=i[0],n=i[1],s=i[2],a=l([r.getBBox(),n.getBBox(),s.getBBox()],3),h=a[0],p=a[1],u=a[2];r.toSVG(o),s.toSVG(o),n.toSVG(o);var c=this.getDelta(),d=this.getOverKU(h,p)[1],f=this.getUnderKV(h,u)[1],v=l(this.getDeltaW([h,u,p],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),y=v[0],S=v[1],V=v[2];r.place(y,0),s.place(S,f),n.place(V,d)}},e.kind=c.MmlMunderover.prototype.kind,e}(u.CommonMunderoverMixin(a.SVGmsubsup));o.SVGmunderover=v},\n      627: function _(t,e,i,o,r){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,r,n=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){r={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(r)throw r.error}}return s},c=this&&this.__spreadArray||function(t,e){for(var i=0,o=e.length,r=t.length;i<o;i++,r++)t[r]=e[i];return t};o(),i.CommonMunderMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e,i){if(void 0===i&&(i=!1),this.hasMovableLimits())t.prototype.computeBBox.call(this,e,i);else{e.empty();var o=this.baseChild.getBBox(),r=this.scriptChild.getBBox(),n=this.getUnderKV(o,r)[1],s=this.isLineBelow?0:this.getDelta(!0),c=h(this.getDeltaW([o,r],[0,-s]),2),l=c[0],u=c[1];e.combine(o,l,0),e.combine(r,u,n),e.d+=this.font.params.big_op_spacing5,e.clean(),this.setChildPWidths(i)}},e}(t)},i.CommonMoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"scriptChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.baseChild.getBBox(),o=this.scriptChild.getBBox(),r=this.getOverKU(i,o)[1],n=this.isLineAbove?0:this.getDelta(),s=h(this.getDeltaW([i,o],[0,n]),2),c=s[0],l=s[1];e.combine(i,c,0),e.combine(o,l,r),e.h+=this.font.params.big_op_spacing5,e.clean()}},e}(t)},i.CommonMunderoverMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var o=t.apply(this,c([],h(e)))||this;return o.stretchChildren(),o}return s(e,t),Object.defineProperty(e.prototype,\"underChild\",{get:function(){return this.childNodes[this.node.under]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"overChild\",{get:function(){return this.childNodes[this.node.over]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"subChild\",{get:function(){return this.underChild},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"supChild\",{get:function(){return this.overChild},enumerable:!1,configurable:!0}),e.prototype.computeBBox=function(e){if(this.hasMovableLimits())t.prototype.computeBBox.call(this,e);else{e.empty();var i=this.overChild.getBBox(),o=this.baseChild.getBBox(),r=this.underChild.getBBox(),n=this.getOverKU(o,i)[1],s=this.getUnderKV(o,r)[1],c=this.getDelta(),l=h(this.getDeltaW([o,r,i],[0,this.isLineBelow?0:-c,this.isLineAbove?0:c]),3),u=l[0],a=l[1],p=l[2];e.combine(o,u,0),e.combine(i,p,n),e.combine(r,a,s);var f=this.font.params.big_op_spacing5;e.h+=f,e.d+=f,e.clean()}},e}(t)}},\n      628: function _(e,t,r,n,i){var o,u=this&&this.__extends||(o=function(e,t){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},o(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}o(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(e){for(var t,r=1,n=arguments.length;r<n;r++)for(var i in t=arguments[r])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e},c.apply(this,arguments)};n();var a=e(533),l=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munderover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 3},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"base\",{get:function(){return 0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),t.prototype.setChildInheritedAttributes=function(e,t,r,n){var i=this.childNodes;i[0].setInheritedAttributes(e,t,r,n||!!i[this.over]);var o=!(t||!i[0].coreMO().attributes.get(\"movablelimits\")),u=this.constructor.ACCENTS;i[1].setInheritedAttributes(e,!1,this.getScriptlevel(u[1],o,r),n||1===this.under),this.setInheritedAccent(1,u[1],t,r,n,o),i[2]&&(i[2].setInheritedAttributes(e,!1,this.getScriptlevel(u[2],o,r),n||2===this.under),this.setInheritedAccent(2,u[2],t,r,n,o))},t.prototype.getScriptlevel=function(e,t,r){return!t&&this.attributes.get(e)||r++,r},t.prototype.setInheritedAccent=function(e,t,r,n,i,o){var u=this.childNodes[e];if(null==this.attributes.getExplicit(t)&&u.isEmbellished){var c=u.coreMO().attributes.get(\"accent\");this.attributes.setInherited(t,c),c!==this.attributes.getDefault(t)&&u.setInheritedAttributes({},r,this.getScriptlevel(t,o,n),i)}},t.defaults=c(c({},a.AbstractMmlBaseNode.defaults),{accent:!1,accentunder:!1,align:\"center\"}),t.ACCENTS=[\"\",\"accentunder\",\"accent\"],t}(a.AbstractMmlBaseNode);r.MmlMunderover=l;var s=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"munder\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t}(l);r.MmlMunder=s;var p=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return u(t,e),Object.defineProperty(t.prototype,\"kind\",{get:function(){return\"mover\"},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"arity\",{get:function(){return 2},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"over\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"under\",{get:function(){return 2},enumerable:!1,configurable:!0}),t.defaults=c({},l.defaults),t.ACCENTS=[\"\",\"accent\",\"accentunder\"],t}(l);r.MmlMover=p},\n      629: function _(t,r,i,o,e){var n,s=this&&this.__extends||(n=function(t,r){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var i in r)Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i])},n(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,r),t.prototype=null===r?Object.create(r):(i.prototype=r.prototype,new i)}),p=this&&this.__read||function(t,r){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var o,e,n=i.call(t),s=[];try{for(;(void 0===r||r-- >0)&&!(o=n.next()).done;)s.push(o.value)}catch(t){e={error:t}}finally{try{o&&!o.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return s};o();var c=t(621),a=t(630),u=t(631),l=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return s(r,t),r.prototype.toSVG=function(t){var r=this.standardSVGnode(t),i=this.scriptData,o=this.combinePrePost(i.sub,i.psub),e=this.combinePrePost(i.sup,i.psup),n=p(this.getUVQ(o,e),2),s=n[0],c=n[1],a=0;i.numPrescripts&&(a=this.addScripts(.05,s,c,!0,this.firstPrescript,i.numPrescripts));var u=this.baseChild;u.toSVG(r),u.place(a,0),a+=u.getBBox().w,i.numScripts&&this.addScripts(a,s,c,!1,1,i.numScripts)},r.prototype.addScripts=function(t,r,i,o,e,n){var s=this.adaptor,c=s.append(this.element,this.svg(\"g\")),a=s.append(this.element,this.svg(\"g\"));this.place(t,r,c),this.place(t,i,a);for(var u=e+2*n,l=0;e<u;){var h=p([this.childNodes[e++],this.childNodes[e++]],2),f=h[0],d=h[1],y=p([f.getBBox(),d.getBBox()],2),m=y[0],v=y[1],S=p([m.rscale,v.rscale],2),_=S[0],b=S[1],w=Math.max(m.w*_,v.w*b);f.toSVG(a),d.toSVG(c),f.place(l+(o?w-m.w*_:0),0),d.place(l+(o?w-v.w*b:0),0),l+=w}return t+l},r.kind=u.MmlMmultiscripts.prototype.kind,r}(a.CommonMmultiscriptsMixin(c.SVGmsubsup));i.SVGmmultiscripts=l},\n      630: function _(t,s,i,r,e){var n,o=this&&this.__extends||(n=function(t,s){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,s){t.__proto__=s}||function(t,s){for(var i in s)Object.prototype.hasOwnProperty.call(s,i)&&(t[i]=s[i])},n(t,s)},function(t,s){if(\"function\"!=typeof s&&null!==s)throw new TypeError(\"Class extends value \"+String(s)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,s),t.prototype=null===s?Object.create(s):(i.prototype=s.prototype,new i)}),p=this&&this.__read||function(t,s){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var r,e,n=i.call(t),o=[];try{for(;(void 0===s||s-- >0)&&!(r=n.next()).done;)o.push(r.value)}catch(t){e={error:t}}finally{try{r&&!r.done&&(i=n.return)&&i.call(n)}finally{if(e)throw e.error}}return o},u=this&&this.__spreadArray||function(t,s){for(var i=0,r=s.length,e=t.length;i<r;i++,e++)t[e]=s[i];return t},a=this&&this.__values||function(t){var s=\"function\"==typeof Symbol&&Symbol.iterator,i=s&&t[s],r=0;if(i)return i.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(s?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};r();var c=t(577);i.NextScript={base:\"subList\",subList:\"supList\",supList:\"subList\",psubList:\"psupList\",psupList:\"psubList\"},i.ScriptNames=[\"sup\",\"sup\",\"psup\",\"psub\"],i.CommonMmultiscriptsMixin=function(t){return function(t){function s(){for(var s=[],i=0;i<arguments.length;i++)s[i]=arguments[i];var r=t.apply(this,u([],p(s)))||this;return r.scriptData=null,r.firstPrescript=0,r.getScriptData(),r}return o(s,t),s.prototype.combinePrePost=function(t,s){var i=new c.BBox(t);return i.combine(s,0,0),i},s.prototype.computeBBox=function(t,s){void 0===s&&(s=!1);var i=this.font.params.scriptspace,r=this.scriptData,e=this.combinePrePost(r.sub,r.psub),n=this.combinePrePost(r.sup,r.psup),o=p(this.getUVQ(e,n),2),u=o[0],a=o[1];if(t.empty(),r.numPrescripts&&(t.combine(r.psup,i,u),t.combine(r.psub,i,a)),t.append(r.base),r.numScripts){var c=t.w;t.combine(r.sup,c,u),t.combine(r.sub,c,a),t.w+=i}t.clean(),this.setChildPWidths(s)},s.prototype.getScriptData=function(){var t=this.scriptData={base:null,sub:c.BBox.empty(),sup:c.BBox.empty(),psub:c.BBox.empty(),psup:c.BBox.empty(),numPrescripts:0,numScripts:0},s=this.getScriptBBoxLists();this.combineBBoxLists(t.sub,t.sup,s.subList,s.supList),this.combineBBoxLists(t.psub,t.psup,s.psubList,s.psupList),t.base=s.base[0],t.numPrescripts=s.psubList.length,t.numScripts=s.subList.length},s.prototype.getScriptBBoxLists=function(){var t,s,r={base:[],subList:[],supList:[],psubList:[],psupList:[]},e=\"base\";try{for(var n=a(this.childNodes),o=n.next();!o.done;o=n.next()){var p=o.value;p.node.isKind(\"mprescripts\")?e=\"psubList\":(r[e].push(p.getBBox()),e=i.NextScript[e])}}catch(s){t={error:s}}finally{try{o&&!o.done&&(s=n.return)&&s.call(n)}finally{if(t)throw t.error}}return this.firstPrescript=r.subList.length+r.supList.length+2,this.padLists(r.subList,r.supList),this.padLists(r.psubList,r.psupList),r},s.prototype.padLists=function(t,s){t.length>s.length&&s.push(c.BBox.empty())},s.prototype.combineBBoxLists=function(t,s,i,r){for(var e=0;e<i.length;e++){var n=p(this.getScaledWHD(i[e]),3),o=n[0],u=n[1],a=n[2],c=p(this.getScaledWHD(r[e]),3),h=c[0],l=c[1],b=c[2],f=Math.max(o,h);t.w+=f,s.w+=f,u>t.h&&(t.h=u),a>t.d&&(t.d=a),l>s.h&&(s.h=l),b>s.d&&(s.d=b)}},s.prototype.getScaledWHD=function(t){var s=t.w,i=t.h,r=t.d,e=t.rscale;return[s*e,i*e,r*e]},s.prototype.getUVQ=function(s,i){var r;if(!this.UVQ){var e=p([0,0,0],3),n=e[0],o=e[1],u=e[2];0===s.h&&0===s.d?n=this.getU():0===i.h&&0===i.d?n=-this.getV():(n=(r=p(t.prototype.getUVQ.call(this,s,i),3))[0],o=r[1],u=r[2]),this.UVQ=[n,o,u]}return this.UVQ},s}(t)}},\n      631: function _(t,e,r,i,n){var o,s=this&&this.__extends||(o=function(t,e){return o=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])},o(t,e)},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}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,r=1,i=arguments.length;r<i;r++)for(var n in e=arguments[r])Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t},c.apply(this,arguments)};i();var u=t(533),l=t(625),p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mmultiscripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),e.prototype.setChildInheritedAttributes=function(t,e,r,i){this.childNodes[0].setInheritedAttributes(t,e,r,i);for(var n=!1,o=1,s=0;o<this.childNodes.length;o++){var c=this.childNodes[o];if(c.isKind(\"mprescripts\")){if(!n&&(n=!0,o%2==0)){var u=this.factory.create(\"mrow\");this.childNodes.splice(o,0,u),u.parent=this,o++}}else{var l=i||s%2==0;c.setInheritedAttributes(t,!1,r+1,l),s++}}this.childNodes.length%2==(n?1:0)&&(this.appendChild(this.factory.create(\"mrow\")),this.childNodes[this.childNodes.length-1].setInheritedAttributes(t,!1,r+1,i))},e.prototype.verifyChildren=function(e){for(var r=!1,i=e.fixMmultiscripts,n=0;n<this.childNodes.length;n++){var o=this.childNodes[n];o.isKind(\"mprescripts\")&&(r?o.mError(o.kind+\" can only appear once in \"+this.kind,e,!0):(r=!0,n%2!=0||i||this.mError(\"There must be an equal number of prescripts of each type\",e)))}this.childNodes.length%2!=(r?1:0)||i||this.mError(\"There must be an equal number of scripts of each type\",e),t.prototype.verifyChildren.call(this,e)},e.defaults=c({},l.MmlMsubsup.defaults),e}(l.MmlMsubsup);r.MmlMmultiscripts=p;var a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mprescripts\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlMprescripts=a;var h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"none\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 0},enumerable:!1,configurable:!0}),e.prototype.verifyTree=function(e){t.prototype.verifyTree.call(this,e),this.parent&&!this.parent.isKind(\"mmultiscripts\")&&this.mError(this.kind+\" must be a child of mmultiscripts\",e,!0)},e.defaults=c({},u.AbstractMmlNode.defaults),e}(u.AbstractMmlNode);r.MmlNone=h},\n      632: function _(t,e,i,s,a){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),h=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var s,a,n=i.call(t),o=[];try{for(;(void 0===e||e-- >0)&&!(s=n.next()).done;)o.push(s.value)}catch(t){a={error:t}}finally{try{s&&!s.done&&(i=n.return)&&i.call(n)}finally{if(a)throw a.error}}return o},r=this&&this.__spreadArray||function(t,e){for(var i=0,s=e.length,a=t.length;i<s;i++,a++)t[a]=e[i];return t};s();var l=t(574),d=t(633),p=t(635),f=function(t){function e(e,i,s){void 0===s&&(s=null);var a=t.call(this,e,i,s)||this,n={\"data-labels\":!0};return a.isTop&&(n.transform=\"matrix(1 0 0 -1 0 0)\"),a.labels=a.svg(\"g\",n),a}return o(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeRows(e),this.handleColumnLines(e),this.handleRowLines(e),this.handleFrame(e);var i=this.handlePWidth(e);this.handleLabels(e,t,i)},e.prototype.placeRows=function(t){for(var e,i,s,a=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),o=n.H,l=n.D,d=this.getEqualRowHeight(),p=this.getRowHalfSpacing(),f=r(r([this.fLine],h(this.rLines)),[this.fLine]),c=this.getBBox().h-f[0],g=0;g<this.numRows;g++){var u=this.childNodes[g];e=h(this.getRowHD(a,d,o[g],l[g]),2),u.H=e[0],u.D=e[1],i=h([p[g],p[g+1]],2),u.tSpace=i[0],u.bSpace=i[1],s=h([f[g],f[g+1]],2),u.tLine=s[0],u.bLine=s[1],u.toSVG(t),u.place(0,c-p[g]-u.H),c-=p[g]+u.H+u.D+p[g+1]+f[g+1]}},e.prototype.getRowHD=function(t,e,i,s){return t?[(e+i-s)/2,(e-i+s)/2]:[i,s]},e.prototype.handleColor=function(){t.prototype.handleColor.call(this);var e=this.firstChild();e&&this.adaptor.setAttribute(e,\"width\",this.fixed(this.getWidth()))},e.prototype.handleColumnLines=function(t){if(\"none\"!==this.node.attributes.get(\"columnlines\")){var e=this.getColumnAttributes(\"columnlines\");if(e)for(var i=this.getColumnHalfSpacing(),s=this.cLines,a=this.getComputedWidths(),n=this.fLine,o=0;o<e.length;o++)n+=i[o]+a[o]+i[o+1],\"none\"!==e[o]&&this.adaptor.append(t,this.makeVLine(n,e[o],s[o])),n+=s[o]}},e.prototype.handleRowLines=function(t){if(\"none\"!==this.node.attributes.get(\"rowlines\")){var e=this.getRowAttributes(\"rowlines\");if(e)for(var i=this.node.attributes.get(\"equalrows\"),s=this.getTableData(),a=s.H,n=s.D,o=this.getEqualRowHeight(),r=this.getRowHalfSpacing(),l=this.rLines,d=this.getBBox().h-this.fLine,p=0;p<e.length;p++){var f=h(this.getRowHD(i,o,a[p],n[p]),2),c=f[0],g=f[1];d-=r[p]+c+g+r[p+1],\"none\"!==e[p]&&this.adaptor.append(t,this.makeHLine(d,e[p],l[p])),d-=l[p]}}},e.prototype.handleFrame=function(t){if(this.frame&&this.fLine){var e=this.getBBox(),i=e.h,s=e.d,a=e.w,n=this.node.attributes.get(\"frame\");this.adaptor.append(t,this.makeFrame(a,i,s,n))}},e.prototype.handlePWidth=function(t){if(!this.pWidth)return 0;var e=this.getBBox(),i=e.w,s=e.L,a=e.R,n=s+this.pWidth+a,o=this.getAlignShift()[0],h=Math.max(this.isTop?n:0,this.container.getWrapWidth(this.containerI))-s-a,r=i-(this.pWidth>h?h:this.pWidth),l=\"left\"===o?0:\"right\"===o?r:r/2;if(l){var d=this.svg(\"g\",{},this.adaptor.childNodes(t));this.place(l,0,d),this.adaptor.append(t,d)}return l},e.prototype.lineClass=function(t){return\"mjx-\"+t},e.prototype.makeFrame=function(t,e,i,s){var a=this.fLine;return this.svg(\"rect\",this.setLineThickness(a,s,{\"data-frame\":!0,class:this.lineClass(s),width:this.fixed(t-a),height:this.fixed(e+i-a),x:this.fixed(a/2),y:this.fixed(a/2-i)}))},e.prototype.makeVLine=function(t,e,i){var s=this.getBBox(),a=s.h,n=s.d,o=\"dotted\"===e?i/2:0,h=this.fixed(t+i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"v\",class:this.lineClass(e),x1:h,y1:this.fixed(o-n),x2:h,y2:this.fixed(a-o)}))},e.prototype.makeHLine=function(t,e,i){var s=this.getBBox().w,a=\"dotted\"===e?i/2:0,n=this.fixed(t-i/2);return this.svg(\"line\",this.setLineThickness(i,e,{\"data-line\":\"h\",class:this.lineClass(e),x1:this.fixed(a),y1:n,x2:this.fixed(s-a),y2:n}))},e.prototype.setLineThickness=function(t,e,i){return.07!==t&&(i[\"stroke-thickness\"]=this.fixed(t),\"solid\"!==e&&(i[\"stroke-dasharray\"]=(\"dotted\"===e?\"0,\":\"\")+this.fixed(2*t))),i},e.prototype.handleLabels=function(t,e,i){if(this.hasLabels){var s=this.labels,a=this.node.attributes.get(\"side\");this.spaceLabels(),this.isTop?this.topTable(t,s,a):this.subTable(t,s,a,i)}},e.prototype.spaceLabels=function(){for(var t=this.adaptor,e=this.getBBox().h,i=this.getTableData().L,s=this.getRowHalfSpacing(),a=e-this.fLine,n=t.firstChild(this.labels),o=0;o<this.numRows;o++){var h=this.childNodes[o];if(h.node.isKind(\"mlabeledtr\")){var r=h.childNodes[0];a-=s[o]+h.H,h.placeCell(r,{x:0,y:a,w:i,lSpace:0,rSpace:0,lLine:0,rLine:0}),a-=h.D+s[o+1]+this.rLines[o],n=t.next(n)}else a-=s[o]+h.H+h.D+s[o+1]+this.rLines[o]}},e.prototype.topTable=function(t,e,i){var s=this.adaptor,a=this.getBBox(),n=a.h,o=a.d,r=a.w,l=a.L,d=a.R,p=l+(this.pWidth||r)+d,f=this.getTableData().L,c=h(this.getPadAlignShift(i),3),g=c[1],u=c[2]+(\"right\"===g?-p:\"center\"===g?-p/2:0)+l,x=\"matrix(1 0 0 -1 0 0)\",m=\"scale(\"+this.jax.fixed(1e3*this.font.params.x_height/this.metrics.ex,2)+\")\",v=\"translate(0 \"+this.fixed(n)+\") \"+x+\" \"+m,b=this.svg(\"svg\",{\"data-table\":!0,preserveAspectRatio:\"left\"===g?\"xMinYMid\":\"right\"===g?\"xMaxYMid\":\"xMidYMid\",viewBox:[this.fixed(-u),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[this.svg(\"g\",{transform:x},s.childNodes(t))]);e=this.svg(\"svg\",{\"data-labels\":!0,preserveAspectRatio:\"left\"===i?\"xMinYMid\":\"xMaxYMid\",viewBox:[\"left\"===i?0:this.fixed(f),this.fixed(-n),1,this.fixed(n+o)].join(\" \")},[e]),s.append(t,this.svg(\"g\",{transform:v},[b,e])),this.place(-l,0,t)},e.prototype.subTable=function(t,e,i,s){var a=this.adaptor,n=this.getBBox(),o=n.w,h=n.L,r=n.R,l=h+(this.pWidth||o)+r,d=this.getTableData().L,p=this.getAlignShift()[0],f=Math.max(l,this.container.getWrapWidth(this.containerI));this.place(\"left\"===i?(\"left\"===p?0:\"right\"===p?l-f+s:(l-f)/2+s)-h:(\"left\"===p?f:\"right\"===p?l+s:(f+l)/2+s)-h-d,0,e),a.append(t,e)},e.kind=p.MmlMtable.prototype.kind,e.styles={'g[data-mml-node=\"mtable\"] > line[data-line], svg[data-table] > g > line[data-line]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > rect[data-frame], svg[data-table] > g > rect[data-frame]':{\"stroke-width\":\"70px\",fill:\"none\"},'g[data-mml-node=\"mtable\"] > .mjx-dashed, svg[data-table] > g > .mjx-dashed':{\"stroke-dasharray\":\"140\"},'g[data-mml-node=\"mtable\"] > .mjx-dotted, svg[data-table] > g > .mjx-dotted':{\"stroke-linecap\":\"round\",\"stroke-dasharray\":\"0,140\"},'g[data-mml-node=\"mtable\"] > g > svg':{overflow:\"visible\"}},e}(d.CommonMtableMixin(l.SVGWrapper));i.SVGmtable=f},\n      633: function _(t,e,i,n,r){var o,s=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)}),a=this&&this.__read||function(t,e){var i=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!i)return t;var n,r,o=i.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=o.next()).done;)s.push(n.value)}catch(t){r={error:t}}finally{try{n&&!n.done&&(i=o.return)&&i.call(o)}finally{if(r)throw r.error}}return s},h=this&&this.__spreadArray||function(t,e){for(var i=0,n=e.length,r=t.length;i<n;i++,r++)t[r]=e[i];return t},l=this&&this.__values||function(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,i=e&&t[e],n=0;if(i)return i.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.\")};n();var u=t(577),c=t(530),f=t(634);i.CommonMtableMixin=function(t){return function(t){function e(){for(var e=[],i=0;i<arguments.length;i++)e[i]=arguments[i];var n=t.apply(this,h([],a(e)))||this;n.numCols=0,n.numRows=0,n.data=null,n.pwidthCells=[],n.pWidth=0,n.numCols=f.max(n.tableRows.map((function(t){return t.numCells}))),n.numRows=n.childNodes.length,n.hasLabels=n.childNodes.reduce((function(t,e){return t||e.node.isKind(\"mlabeledtr\")}),!1),n.findContainer(),n.isTop=!n.container||n.container.node.isKind(\"math\")&&!n.container.parent,n.isTop&&(n.jax.table=n),n.getPercentageWidth();var r=n.node.attributes;return n.frame=\"none\"!==r.get(\"frame\"),n.fLine=n.frame&&r.get(\"frame\")?.07:0,n.fSpace=n.frame?n.convertLengths(n.getAttributeArray(\"framespacing\")):[0,0],n.cSpace=n.convertLengths(n.getColumnAttributes(\"columnspacing\")),n.rSpace=n.convertLengths(n.getRowAttributes(\"rowspacing\")),n.cLines=n.getColumnAttributes(\"columnlines\").map((function(t){return\"none\"===t?0:.07})),n.rLines=n.getRowAttributes(\"rowlines\").map((function(t){return\"none\"===t?0:.07})),n.cWidths=n.getColumnWidths(),n.stretchRows(),n.stretchColumns(),n}return s(e,t),Object.defineProperty(e.prototype,\"tableRows\",{get:function(){return this.childNodes},enumerable:!1,configurable:!0}),e.prototype.findContainer=function(){for(var t=this,e=t.parent;e&&(e.node.notParent||e.node.isKind(\"mrow\"));)t=e,e=e.parent;this.container=e,this.containerI=t.node.childPosition()},e.prototype.getPercentageWidth=function(){if(this.hasLabels)this.bbox.pwidth=u.BBox.fullWidth;else{var t=this.node.attributes.get(\"width\");c.isPercent(t)&&(this.bbox.pwidth=t)}},e.prototype.stretchRows=function(){for(var t=this.node.attributes.get(\"equalrows\"),e=t?this.getEqualRowHeight():0,i=t?this.getTableData():{H:[0],D:[0]},n=i.H,r=i.D,o=this.tableRows,s=0;s<this.numRows;s++){var a=t?[(e+n[s]-r[s])/2,(e-n[s]+r[s])/2]:null;o[s].stretchChildren(a)}},e.prototype.stretchColumns=function(){for(var t=0;t<this.numCols;t++){var e=\"number\"==typeof this.cWidths[t]?this.cWidths[t]:null;this.stretchColumn(t,e)}},e.prototype.stretchColumn=function(t,e){var i,n,r,o,s,a,h=[];try{for(var u=l(this.tableRows),c=u.next();!c.done;c=u.next()){if(y=c.value.getChild(t))0===(C=y.childNodes[0]).stretch.dir&&C.canStretch(2)&&h.push(C)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(n=u.return)&&n.call(u)}finally{if(i)throw i.error}}var f=h.length,p=this.childNodes.length;if(f&&p>1){if(null===e){e=0;var d=f>1&&f===p;try{for(var g=l(this.tableRows),m=g.next();!m.done;m=g.next()){var y;if(y=m.value.getChild(t)){var v=0===(C=y.childNodes[0]).stretch.dir;if(d||v){var b=C.getBBox(v).w;b>e&&(e=b)}}}}catch(t){r={error:t}}finally{try{m&&!m.done&&(o=g.return)&&o.call(g)}finally{if(r)throw r.error}}}try{for(var w=l(h),x=w.next();!x.done;x=w.next()){var C;(C=x.value).coreMO().getStretchedVariant([e])}}catch(t){s={error:t}}finally{try{x&&!x.done&&(a=w.return)&&a.call(w)}finally{if(s)throw s.error}}}},e.prototype.getTableData=function(){if(this.data)return this.data;for(var t=new Array(this.numRows).fill(0),e=new Array(this.numRows).fill(0),i=new Array(this.numCols).fill(0),n=new Array(this.numRows),r=new Array(this.numRows),o=[0],s=this.tableRows,a=0;a<s.length;a++){for(var h=0,l=s[a],u=l.node.attributes.get(\"rowalign\"),c=0;c<l.numCells;c++){var f=l.getChild(c);h=this.updateHDW(f,c,a,u,t,e,i,h),this.recordPWidthCell(f,c)}n[a]=t[a],r[a]=e[a],l.labeled&&(h=this.updateHDW(l.childNodes[0],0,a,u,t,e,o,h)),this.extendHD(a,t,e,h),this.extendHD(a,n,r,h)}var p=o[0];return this.data={H:t,D:e,W:i,NH:n,ND:r,L:p},this.data},e.prototype.updateHDW=function(t,e,i,n,r,o,s,a){var h=t.getBBox(),l=h.h,u=h.d,c=h.w,f=t.parent.bbox.rscale;1!==t.parent.bbox.rscale&&(l*=f,u*=f,c*=f),this.node.getProperty(\"useHeight\")&&(l<.75&&(l=.75),u<.25&&(u=.25));var p=0;return\"baseline\"!==(n=t.node.attributes.get(\"rowalign\")||n)&&\"axis\"!==n&&(p=l+u,l=u=0),l>r[i]&&(r[i]=l),u>o[i]&&(o[i]=u),p>a&&(a=p),s&&c>s[e]&&(s[e]=c),a},e.prototype.extendHD=function(t,e,i,n){var r=(n-(e[t]+i[t]))/2;r<1e-5||(e[t]+=r,i[t]+=r)},e.prototype.recordPWidthCell=function(t,e){t.childNodes[0]&&t.childNodes[0].getBBox().pwidth&&this.pwidthCells.push([t,e])},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var i,n,r=this.getTableData(),o=r.H,s=r.D;if(this.node.attributes.get(\"equalrows\")){var h=this.getEqualRowHeight();i=f.sum([].concat(this.rLines,this.rSpace))+h*this.numRows}else i=f.sum(o.concat(s,this.rLines,this.rSpace));i+=2*(this.fLine+this.fSpace[1]);var l=this.getComputedWidths();n=f.sum(l.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]);var u=this.node.attributes.get(\"width\");\"auto\"!==u&&(n=Math.max(this.length2em(u,0)+2*this.fLine,n));var p=a(this.getBBoxHD(i),2),d=p[0],g=p[1];t.h=d,t.d=g,t.w=n;var m=a(this.getBBoxLR(),2),y=m[0],v=m[1];t.L=y,t.R=v,c.isPercent(u)||this.setColumnPWidths()},e.prototype.setChildPWidths=function(t,e,i){var n=this.node.attributes.get(\"width\");if(!c.isPercent(n))return!1;this.hasLabels||(this.bbox.pwidth=\"\",this.container.bbox.pwidth=\"\");var r=this.bbox,o=r.w,s=r.L,a=r.R,h=this.node.attributes.get(\"data-width-includes-label\"),l=Math.max(o,this.length2em(n,Math.max(e,s+o+a)))-(h?s+a:0),u=this.node.attributes.get(\"equalcolumns\")?Array(this.numCols).fill(this.percent(1/Math.max(1,this.numCols))):this.getColumnAttributes(\"columnwidth\",0);this.cWidths=this.getColumnWidthsFixed(u,l);var p=this.getComputedWidths();return this.pWidth=f.sum(p.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]),this.isTop&&(this.bbox.w=this.pWidth),this.setColumnPWidths(),this.pWidth!==o&&this.parent.invalidateBBox(),this.pWidth!==o},e.prototype.setColumnPWidths=function(){var t,e,i=this.cWidths;try{for(var n=l(this.pwidthCells),r=n.next();!r.done;r=n.next()){var o=a(r.value,2),s=o[0],h=o[1];s.setChildPWidths(!1,i[h])&&(s.invalidateBBox(),s.getBBox())}}catch(e){t={error:e}}finally{try{r&&!r.done&&(e=n.return)&&e.call(n)}finally{if(t)throw t.error}}},e.prototype.getBBoxHD=function(t){var e=a(this.getAlignmentRow(),2),i=e[0],n=e[1];if(null===n){var r=this.font.params.axis_height,o=t/2;return{top:[0,t],center:[o,o],bottom:[t,0],baseline:[o,o],axis:[o+r,o-r]}[i]||[o,o]}var s=this.getVerticalPosition(n,i);return[s,t-s]},e.prototype.getBBoxLR=function(){if(this.hasLabels){var t=this.node.attributes,e=t.get(\"side\"),i=a(this.getPadAlignShift(e),2),n=i[0],r=i[1],o=this.hasLabels&&!!t.get(\"data-width-includes-label\");return o&&this.frame&&this.fSpace[0]&&(n-=this.fSpace[0]),\"center\"!==r||o?\"left\"===e?[n,0]:[0,n]:[n,n]}return[0,0]},e.prototype.getPadAlignShift=function(t){var e=this.getTableData().L+this.length2em(this.node.attributes.get(\"minlabelspacing\")),i=a(null==this.styles?[\"\",\"\"]:[this.styles.get(\"padding-left\"),this.styles.get(\"padding-right\")],2),n=i[0],r=i[1];(n||r)&&(e=Math.max(e,this.length2em(n||\"0\"),this.length2em(r||\"0\")));var o=a(this.getAlignShift(),2),s=o[0],h=o[1];return s===t&&(h=\"left\"===t?Math.max(e,h)-e:Math.min(-e,h)+e),[e,s,h]},e.prototype.getAlignShift=function(){return this.isTop?t.prototype.getAlignShift.call(this):[this.container.getChildAlign(this.containerI),0]},e.prototype.getWidth=function(){return this.pWidth||this.getBBox().w},e.prototype.getEqualRowHeight=function(){var t=this.getTableData(),e=t.H,i=t.D,n=Array.from(e.keys()).map((function(t){return e[t]+i[t]}));return Math.max.apply(Math,n)},e.prototype.getComputedWidths=function(){var t=this,e=this.getTableData().W,i=Array.from(e.keys()).map((function(i){return\"number\"==typeof t.cWidths[i]?t.cWidths[i]:e[i]}));return this.node.attributes.get(\"equalcolumns\")&&(i=Array(i.length).fill(f.max(i))),i},e.prototype.getColumnWidths=function(){var t=this.node.attributes.get(\"width\");if(this.node.attributes.get(\"equalcolumns\"))return this.getEqualColumns(t);var e=this.getColumnAttributes(\"columnwidth\",0);return\"auto\"===t?this.getColumnWidthsAuto(e):c.isPercent(t)?this.getColumnWidthsPercent(e):this.getColumnWidthsFixed(e,this.length2em(t))},e.prototype.getEqualColumns=function(t){var e,i=Math.max(1,this.numCols);if(\"auto\"===t){var n=this.getTableData().W;e=f.max(n)}else if(c.isPercent(t))e=this.percent(1/i);else{var r=f.sum([].concat(this.cLines,this.cSpace))+2*this.fSpace[0];e=Math.max(0,this.length2em(t)-r)/i}return Array(this.numCols).fill(e)},e.prototype.getColumnWidthsAuto=function(t){var e=this;return t.map((function(t){return\"auto\"===t||\"fit\"===t?null:c.isPercent(t)?t:e.length2em(t)}))},e.prototype.getColumnWidthsPercent=function(t){var e=this,i=t.indexOf(\"fit\")>=0,n=(i?this.getTableData():{W:null}).W;return Array.from(t.keys()).map((function(r){var o=t[r];return\"fit\"===o?null:\"auto\"===o?i?n[r]:null:c.isPercent(o)?o:e.length2em(o)}))},e.prototype.getColumnWidthsFixed=function(t,e){var i=this,n=Array.from(t.keys()),r=n.filter((function(e){return\"fit\"===t[e]})),o=n.filter((function(e){return\"auto\"===t[e]})),s=r.length||o.length,a=(s?this.getTableData():{W:null}).W,h=e-f.sum([].concat(this.cLines,this.cSpace))-2*this.fSpace[0],l=h;n.forEach((function(e){var n=t[e];l-=\"fit\"===n||\"auto\"===n?a[e]:i.length2em(n,h)}));var u=s&&l>0?l/s:0;return n.map((function(e){var n=t[e];return\"fit\"===n?a[e]+u:\"auto\"===n?a[e]+(0===r.length?u:0):i.length2em(n,h)}))},e.prototype.getVerticalPosition=function(t,e){for(var i=this.node.attributes.get(\"equalrows\"),n=this.getTableData(),r=n.H,o=n.D,s=i?this.getEqualRowHeight():0,h=this.getRowHalfSpacing(),l=this.fLine,u=0;u<t;u++)l+=h[u]+(i?s:r[u]+o[u])+h[u+1]+this.rLines[u];var c=a(i?[(s+r[t]-o[t])/2,(s-r[t]+o[t])/2]:[r[t],o[t]],2),f=c[0],p=c[1];return l+={top:0,center:h[t]+(f+p)/2,bottom:h[t]+f+p+h[t+1],baseline:h[t]+f,axis:h[t]+f-.25}[e]||0},e.prototype.getEmHalfSpacing=function(t,e,i){void 0===i&&(i=1);var n=this.em(t*i),r=this.addEm(e,2/i);return r.unshift(n),r.push(n),r},e.prototype.getRowHalfSpacing=function(){var t=this.rSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[1]),t.push(this.fSpace[1]),t},e.prototype.getColumnHalfSpacing=function(){var t=this.cSpace.map((function(t){return t/2}));return t.unshift(this.fSpace[0]),t.push(this.fSpace[0]),t},e.prototype.getAlignmentRow=function(){var t=a(c.split(this.node.attributes.get(\"align\")),2),e=t[0],i=t[1];if(null==i)return[e,null];var n=parseInt(i);return n<0&&(n+=this.numRows+1),[e,n<1||n>this.numRows?null:n-1]},e.prototype.getColumnAttributes=function(t,e){void 0===e&&(e=1);var i=this.numCols-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getRowAttributes=function(t,e){void 0===e&&(e=1);var i=this.numRows-e,n=this.getAttributeArray(t);if(0===n.length)return null;for(;n.length<i;)n.push(n[n.length-1]);return n.length>i&&n.splice(i),n},e.prototype.getAttributeArray=function(t){var e=this.node.attributes.get(t);return e?c.split(e):[this.node.attributes.getDefault(t)]},e.prototype.addEm=function(t,e){var i=this;return void 0===e&&(e=1),t?t.map((function(t){return i.em(t/e)})):null},e.prototype.convertLengths=function(t){var e=this;return t?t.map((function(t){return e.length2em(t)})):null},e}(t)}},\n      634: function _(n,u,r,t,e){t(),r.sum=function(n){return n.reduce((function(n,u){return n+u}),0)},r.max=function(n){return n.reduce((function(n,u){return Math.max(n,u)}),0)}},\n      635: function _(t,e,r,n,i){var o,l=this&&this.__extends||(o=function(t,e){return o=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])},o(t,e)},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}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var i in e=arguments[r])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(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.\")};n();var u=t(533),c=t(530),h=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.properties={useHeight:!0},e.texclass=u.TEXCLASS.ORD,e}return l(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"mtable\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.setInheritedAttributes=function(e,r,n,i){var o,l;try{for(var a=s(u.indentAttributes),c=a.next();!c.done;c=a.next()){var h=c.value;e[h]&&this.attributes.setInherited(h,e[h][1]),void 0!==this.attributes.getExplicit(h)&&delete this.attributes.getAllAttributes()[h]}}catch(t){o={error:t}}finally{try{c&&!c.done&&(l=a.return)&&l.call(a)}finally{if(o)throw o.error}}t.prototype.setInheritedAttributes.call(this,e,r,n,i)},e.prototype.setChildInheritedAttributes=function(t,e,r,n){var i,o,l,a;try{for(var u=s(this.childNodes),h=u.next();!h.done;h=u.next()){(b=h.value).isKind(\"mtr\")||this.replaceChild(this.factory.create(\"mtr\"),b).appendChild(b)}}catch(t){i={error:t}}finally{try{h&&!h.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}r=this.getProperty(\"scriptlevel\")||r,e=!(!this.attributes.getExplicit(\"displaystyle\")&&!this.attributes.getDefault(\"displaystyle\")),t=this.addInheritedAttributes(t,{columnalign:this.attributes.get(\"columnalign\"),rowalign:\"center\"});var f=this.attributes.getExplicit(\"data-cramped\"),p=c.split(this.attributes.get(\"rowalign\"));try{for(var d=s(this.childNodes),y=d.next();!y.done;y=d.next()){var b=y.value;t.rowalign[1]=p.shift()||t.rowalign[1],b.setInheritedAttributes(t,e,r,!!f)}}catch(t){l={error:t}}finally{try{y&&!y.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},e.prototype.verifyChildren=function(e){var r,n;if(!e.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){o.value.isKind(\"mtr\")||this.mError(\"Children of \"+this.kind+\" must be mtr or mlabeledtr\",e)}}catch(t){r={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}t.prototype.verifyChildren.call(this,e)},e.prototype.setTeXclass=function(t){var e,r;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){e={error:t}}finally{try{i&&!i.done&&(r=n.return)&&r.call(n)}finally{if(e)throw e.error}}return this},e.defaults=a(a({},u.AbstractMmlNode.defaults),{align:\"axis\",rowalign:\"baseline\",columnalign:\"center\",groupalign:\"{left}\",alignmentscope:!0,columnwidth:\"auto\",width:\"auto\",rowspacing:\"1ex\",columnspacing:\".8em\",rowlines:\"none\",columnlines:\"none\",frame:\"none\",framespacing:\"0.4em 0.5ex\",equalrows:!1,equalcolumns:!1,displaystyle:!1,side:\"right\",minlabelspacing:\"0.8em\"}),e}(u.AbstractMmlNode);r.MmlMtable=h},\n      636: function _(t,e,r,i,n){var o,l=this&&this.__extends||(o=function(t,e){return o=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])},o(t,e)},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}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),a=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var i,n,o=r.call(t),l=[];try{for(;(void 0===e||e-- >0)&&!(i=o.next()).done;)l.push(i.value)}catch(t){n={error:t}}finally{try{i&&!i.done&&(r=o.return)&&r.call(o)}finally{if(n)throw n.error}}return l},s=this&&this.__spreadArray||function(t,e){for(var r=0,i=e.length,n=t.length;r<i;r++,n++)t[n]=e[r];return t};i();var p=t(574),h=t(637),c=t(637),u=t(638),f=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t);this.placeCells(e),this.placeColor()},e.prototype.placeCells=function(t){for(var e=this.parent.getColumnHalfSpacing(),r=s(s([this.parent.fLine],a(this.parent.cLines)),[this.parent.fLine]),i=this.parent.getComputedWidths(),n=1/this.getBBox().rscale,o=r[0],l=0;l<this.numCells;l++){var p=this.getChild(l);p.toSVG(t),o+=this.placeCell(p,{x:o,y:0,lSpace:e[l]*n,rSpace:e[l+1]*n,w:i[l]*n,lLine:r[l]*n,rLine:r[l+1]*n})}},e.prototype.placeCell=function(t,e){var r=e.x,i=e.y,n=e.lSpace,o=e.w,l=e.rSpace,s=e.lLine,p=e.rLine,h=1/this.getBBox().rscale,c=a([this.H*h,this.D*h],2),u=c[0],f=c[1],d=a([this.tSpace*h,this.bSpace*h],2),y=d[0],S=d[1],b=a(t.placeCell(r+n,i,o,u,f),2),v=b[0],C=b[1],_=n+o+l;return t.placeColor(-(v+n+s/2),-(f+S+C),_+(s+p)/2,u+f+y+S),_+p},e.prototype.placeColor=function(){var t=1/this.getBBox().rscale,e=this.adaptor,r=this.firstChild();if(r&&\"rect\"===e.kind(r)&&e.getAttribute(r,\"data-bgcolor\")){var i=a([this.tLine/2*t,this.bLine/2*t],2),n=i[0],o=i[1],l=a([this.tSpace*t,this.bSpace*t],2),s=l[0],p=l[1],h=a([this.H*t,this.D*t],2),c=h[0],u=h[1];e.setAttribute(r,\"y\",this.fixed(-(u+p+o))),e.setAttribute(r,\"width\",this.fixed(this.parent.getWidth()*t)),e.setAttribute(r,\"height\",this.fixed(n+s+c+u+p+o))}},e.kind=u.MmlMtr.prototype.kind,e}(h.CommonMtrMixin(p.SVGWrapper));r.SVGmtr=f;var d=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return l(e,t),e.prototype.toSVG=function(e){t.prototype.toSVG.call(this,e);var r=this.childNodes[0];r&&r.toSVG(this.parent.labels)},e.kind=u.MmlMlabeledtr.prototype.kind,e}(c.CommonMlabeledtrMixin(f));r.SVGmlabeledtr=d},\n      637: function _(e,t,r,n,o){var i,l=this&&this.__extends||(i=function(e,t){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(e,t){e.__proto__=t}||function(e,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(e[r]=t[r])},i(e,t)},function(e,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=e}i(e,t),e.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)}),u=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n(),r.CommonMtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return 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x=j.getBBox(m),O=x.h,N=x.d;O>p&&(p=O),N>y&&(y=N)}}}catch(e){n={error:e}}finally{try{v&&!v.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}e=[p,y]}try{for(var _=u(c),C=_.next();!C.done;C=_.next()){var j;(j=C.value).coreMO().getStretchedVariant(e)}}catch(e){i={error:e}}finally{try{C&&!C.done&&(l=_.return)&&l.call(_)}finally{if(i)throw i.error}}}},t}(e)},r.CommonMlabeledtrMixin=function(e){return function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return l(t,e),Object.defineProperty(t.prototype,\"numCells\",{get:function(){return Math.max(0,this.childNodes.length-1)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"labeled\",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,\"tableCells\",{get:function(){return this.childNodes.slice(1)},enumerable:!1,configurable:!0}),t.prototype.getChild=function(e){return this.childNodes[e+1]},t.prototype.getChildBBoxes=function(){return this.childNodes.slice(1).map((function(e){return e.getBBox()}))},t}(e)}},\n      638: function _(t,r,e,n,i){var o,l=this&&this.__extends||(o=function(t,r){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},o(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}o(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__assign||function(){return a=Object.assign||function(t){for(var r,e=1,n=arguments.length;e<n;e++)for(var i in r=arguments[e])Object.prototype.hasOwnProperty.call(r,i)&&(t[i]=r[i]);return t},a.apply(this,arguments)},s=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],n=0;if(e)return e.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(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var u=t(533),c=t(534),f=t(530),h=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"linebreakContainer\",{get:function(){return!0},enumerable:!1,configurable:!0}),r.prototype.setChildInheritedAttributes=function(t,r,e,n){var i,o,l,a;try{for(var u=s(this.childNodes),c=u.next();!c.done;c=u.next()){(y=c.value).isKind(\"mtd\")||this.replaceChild(this.factory.create(\"mtd\"),y).appendChild(y)}}catch(t){i={error:t}}finally{try{c&&!c.done&&(o=u.return)&&o.call(u)}finally{if(i)throw i.error}}var h=f.split(this.attributes.get(\"columnalign\"));1===this.arity&&h.unshift(this.parent.attributes.get(\"side\")),t=this.addInheritedAttributes(t,{rowalign:this.attributes.get(\"rowalign\"),columnalign:\"center\"});try{for(var d=s(this.childNodes),p=d.next();!p.done;p=d.next()){var y=p.value;t.columnalign[1]=h.shift()||t.columnalign[1],y.setInheritedAttributes(t,r,e,n)}}catch(t){l={error:t}}finally{try{p&&!p.done&&(a=d.return)&&a.call(d)}finally{if(l)throw l.error}}},r.prototype.verifyChildren=function(r){var e,n;if(!this.parent||this.parent.isKind(\"mtable\")){if(!r.fixMtables)try{for(var i=s(this.childNodes),o=i.next();!o.done;o=i.next()){var l=o.value;if(!l.isKind(\"mtd\"))this.replaceChild(this.factory.create(\"mtr\"),l).mError(\"Children of \"+this.kind+\" must be mtd\",r,!0)}}catch(t){e={error:t}}finally{try{o&&!o.done&&(n=i.return)&&n.call(i)}finally{if(e)throw e.error}}t.prototype.verifyChildren.call(this,r)}else this.mError(this.kind+\" can only be a child of an mtable\",r,!0)},r.prototype.setTeXclass=function(t){var r,e;this.getPrevClass(t);try{for(var n=s(this.childNodes),i=n.next();!i.done;i=n.next()){i.value.setTeXclass(null)}}catch(t){r={error:t}}finally{try{i&&!i.done&&(e=n.return)&&e.call(n)}finally{if(r)throw r.error}}return this},r.defaults=a(a({},u.AbstractMmlNode.defaults),{rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),r}(u.AbstractMmlNode);e.MmlMtr=h;var d=function(t){function r(){return null!==t&&t.apply(this,arguments)||this}return l(r,t),Object.defineProperty(r.prototype,\"kind\",{get:function(){return\"mlabeledtr\"},enumerable:!1,configurable:!0}),Object.defineProperty(r.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),r}(h);e.MmlMlabeledtr=d},\n      639: function _(t,e,i,o,n){var r,s=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])},r(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function i(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(i.prototype=e.prototype,new i)});o();var a=t(574),u=t(640),p=t(641),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.placeCell=function(t,e,i,o,n){var r=this.getBBox(),s=Math.max(r.h,.75),a=Math.max(r.d,.25),u=this.node.attributes.get(\"columnalign\"),p=this.node.attributes.get(\"rowalign\"),c=this.getAlignX(i,r,u),l=this.getAlignY(o,n,s,a,p);return this.place(t+c,e+l),[c,l]},e.prototype.placeColor=function(t,e,i,o){var n=this.adaptor,r=this.firstChild();r&&\"rect\"===n.kind(r)&&n.getAttribute(r,\"data-bgcolor\")&&(n.setAttribute(r,\"x\",this.fixed(t)),n.setAttribute(r,\"y\",this.fixed(e)),n.setAttribute(r,\"width\",this.fixed(i)),n.setAttribute(r,\"height\",this.fixed(o)))},e.kind=p.MmlMtd.prototype.kind,e}(u.CommonMtdMixin(a.SVGWrapper));i.SVGmtd=c},\n      640: function _(t,n,o,e,r){var i,u=this&&this.__extends||(i=function(t,n){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},i(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}i(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});e(),o.CommonMtdMixin=function(t){return function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return u(n,t),Object.defineProperty(n.prototype,\"fixesPWidth\",{get:function(){return!1},enumerable:!1,configurable:!0}),n.prototype.invalidateBBox=function(){this.bboxComputed=!1},n.prototype.getWrapWidth=function(t){var n=this.parent.parent,o=this.parent,e=this.node.childPosition()-(o.labeled?1:0);return\"number\"==typeof n.cWidths[e]?n.cWidths[e]:n.getTableData().W[e]},n.prototype.getChildAlign=function(t){return this.node.attributes.get(\"columnalign\")},n}(t)}},\n      641: function _(t,e,n,r,o){var i,a=this&&this.__extends||(i=function(t,e){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},i(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new 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this.getPrevClass(t),this.childNodes[0].setTeXclass(null),this},e.defaults=s(s({},l.AbstractMmlBaseNode.defaults),{rowspan:1,columnspan:1,rowalign:c.INHERIT,columnalign:c.INHERIT,groupalign:c.INHERIT}),e}(l.AbstractMmlBaseNode);n.MmlMtd=u},\n      642: function _(t,e,o,n,i){var a,s=this&&this.__extends||(a=function(t,e){return a=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},a(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}a(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)});n();var r=t(574),l=t(643),d=t(643),p=t(644),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),e.prototype.toSVG=function(t){var e=this.standardSVGnode(t),o=this.selected,n=o.getBBox(),i=n.h,a=n.d,s=n.w;this.adaptor.append(this.element,this.svg(\"rect\",{width:this.fixed(s),height:this.fixed(i+a),y:this.fixed(-a),fill:\"none\",\"pointer-events\":\"all\"})),o.toSVG(e),this.action(this,this.data)},e.prototype.setEventHandler=function(t,e){this.element.addEventListener(t,e)},e.kind=p.MmlMaction.prototype.kind,e.styles={'[jax=\"SVG\"] mjx-tool':{display:\"inline-block\",position:\"relative\",width:0,height:0},'[jax=\"SVG\"] mjx-tool > mjx-tip':{position:\"absolute\",top:0,left:0},\"mjx-tool > mjx-tip\":{display:\"inline-block\",padding:\".2em\",border:\"1px solid #888\",\"font-size\":\"70%\",\"background-color\":\"#F8F8F8\",color:\"black\",\"box-shadow\":\"2px 2px 5px #AAAAAA\"},'g[data-mml-node=\"maction\"][data-toggle]':{cursor:\"pointer\"},\"mjx-status\":{display:\"block\",position:\"fixed\",left:\"1em\",bottom:\"1em\",\"min-width\":\"25%\",padding:\".2em .4em\",border:\"1px solid #888\",\"font-size\":\"90%\",\"background-color\":\"#F8F8F8\",color:\"black\"}},e.actions=new Map([[\"toggle\",[function(t,e){t.adaptor.setAttribute(t.element,\"data-toggle\",t.node.attributes.get(\"selection\"));var o=t.factory.jax.math,n=t.factory.jax.document,i=t.node;t.setEventHandler(\"click\",(function(t){o.end.node||(o.start.node=o.end.node=o.typesetRoot,o.start.n=o.end.n=0),i.nextToggleSelection(),o.rerender(n),t.stopPropagation()}))},{}]],[\"tooltip\",[function(t,e){var o=t.childNodes[1];if(o){var n=t.firstChild();if(o.node.isKind(\"mtext\")){var i=o.node.getText();t.adaptor.insert(t.svg(\"title\",{},[t.text(i)]),n)}else{var a=t.adaptor,s=t.jax.container,r=t.node.factory.create(\"math\",{},[t.childNodes[1].node]),l=t.html(\"mjx-tool\",{},[t.html(\"mjx-tip\")]),d=a.append(n,t.svg(\"foreignObject\",{style:{display:\"none\"}},[l]));t.jax.processMath(r,a.firstChild(l)),t.childNodes[1].node.parent=t.node,t.setEventHandler(\"mouseover\",(function(o){e.stopTimers(t,e),e.hoverTimer.set(t,setTimeout((function(){a.setStyle(l,\"left\",\"0\"),a.setStyle(l,\"top\",\"0\"),a.append(s,l);var e=a.nodeBBox(l),o=a.nodeBBox(t.element),n=(o.right-e.left)/t.metrics.em+t.dx,i=(o.bottom-e.bottom)/t.metrics.em+t.dy;a.setStyle(l,\"left\",t.px(n)),a.setStyle(l,\"top\",t.px(i))}),e.postDelay)),o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(o){e.stopTimers(t,e);var n=setTimeout((function(){return a.append(d,l)}),e.clearDelay);e.clearTimer.set(t,n),o.stopPropagation()}))}}},d.TooltipData]],[\"statusline\",[function(t,e){var o=t.childNodes[1];if(o&&o.node.isKind(\"mtext\")){var n=t.adaptor,i=o.node.getText();n.setAttribute(t.element,\"data-statusline\",i),t.setEventHandler(\"mouseover\",(function(o){if(null===e.status){var a=n.body(n.document);e.status=n.append(a,t.html(\"mjx-status\",{},[t.text(i)]))}o.stopPropagation()})),t.setEventHandler(\"mouseout\",(function(t){e.status&&(n.remove(e.status),e.status=null),t.stopPropagation()}))}},{status:null}]]]),e}(l.CommonMactionMixin(r.SVGWrapper));o.SVGmaction=c},\n      643: function _(t,e,r,o,n){var i,a=this&&this.__extends||(i=function(t,e){return i=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])},i(t,e)},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}i(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),s=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var o,n,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(r=i.return)&&r.call(i)}finally{if(n)throw n.error}}return a},c=this&&this.__spreadArray||function(t,e){for(var r=0,o=e.length,n=t.length;r<o;r++,n++)t[n]=e[r];return t};o();var l=t(530);r.TooltipData={dx:\".2em\",dy:\".1em\",postDelay:600,clearDelay:100,hoverTimer:new Map,clearTimer:new Map,stopTimers:function(t,e){e.clearTimer.has(t)&&(clearTimeout(e.clearTimer.get(t)),e.clearTimer.delete(t)),e.hoverTimer.has(t)&&(clearTimeout(e.hoverTimer.get(t)),e.hoverTimer.delete(t))}},r.CommonMactionMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var o=t.apply(this,c([],s(e)))||this,n=o.constructor.actions,i=o.node.attributes.get(\"actiontype\"),a=s(n.get(i)||[function(t,e){},{}],2),l=a[0],u=a[1];return o.action=l,o.data=u,o.getParameters(),o}return a(e,t),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.node.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.wrap(this.node.selected)},enumerable:!1,configurable:!0}),e.prototype.getParameters=function(){var t=this.node.attributes.get(\"data-offsets\"),e=s(l.split(t||\"\"),2),o=e[0],n=e[1];this.dx=this.length2em(o||r.TooltipData.dx),this.dy=this.length2em(n||r.TooltipData.dy)},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.updateFrom(this.selected.getBBox()),this.selected.setChildPWidths(e)},e}(t)}},\n      644: function _(t,e,o,r,i){var n,s=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var o in e)Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o])},n(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function o(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(o.prototype=e.prototype,new o)}),c=this&&this.__assign||function(){return c=Object.assign||function(t){for(var e,o=1,r=arguments.length;o<r;o++)for(var i in e=arguments[o])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},c.apply(this,arguments)};r();var l=t(533),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return s(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"maction\"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"arity\",{get:function(){return 1},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"selected\",{get:function(){var t=this.attributes.get(\"selection\"),e=Math.max(1,Math.min(this.childNodes.length,t))-1;return this.childNodes[e]||this.factory.create(\"mrow\")},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isEmbellished\",{get:function(){return this.selected.isEmbellished},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,\"isSpacelike\",{get:function(){return this.selected.isSpacelike},enumerable:!1,configurable:!0}),e.prototype.core=function(){return this.selected.core()},e.prototype.coreMO=function(){return this.selected.coreMO()},e.prototype.verifyAttributes=function(e){(t.prototype.verifyAttributes.call(this,e),\"toggle\"!==this.attributes.get(\"actiontype\")&&void 0!==this.attributes.getExplicit(\"selection\"))&&delete this.attributes.getAllAttributes().selection},e.prototype.setTeXclass=function(t){\"tooltip\"===this.attributes.get(\"actiontype\")&&this.childNodes[1]&&this.childNodes[1].setTeXclass(null);var e=this.selected;return t=e.setTeXclass(t),this.updateTeXclass(e),t},e.prototype.nextToggleSelection=function(){var t=Math.max(1,this.attributes.get(\"selection\")+1);t>this.childNodes.length&&(t=1),this.attributes.set(\"selection\",t)},e.defaults=c(c({},l.AbstractMmlNode.defaults),{actiontype:\"toggle\",selection:1}),e}(l.AbstractMmlNode);o.MmlMaction=u},\n      645: function _(t,r,e,o,n){var i,s=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),a=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 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l=h.value,f=this.notations[l];!f.renderChild&&f.renderer(this,o)}}catch(t){r={error:t}}finally{try{h&&!h.done&&(e=d.return)&&e.call(d)}finally{if(r)throw r.error}}},r.prototype.arrow=function(t,r,e,o,n){void 0===o&&(o=\"\"),void 0===n&&(n=0);var i=this.getBBox(),s=i.w,a=(t-s)/2,h=(i.h-i.d)/2,l=this.thickness,f=l/2,u=d([l*this.arrowhead.x,l*this.arrowhead.y,l*this.arrowhead.dx],3),p=u[0],c=u[1],x=u[2],g=e?this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",p-a,h+f,\"l\",x,c-f,\"l\",-(p+x),-c,\"l\",p+x,-c,\"l\",-x,c-f,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"):this.fill(\"M\",s+a,h,\"l\",-(p+x),c,\"l\",x,f-c,\"L\",-a,h+f,\"l\",0,-l,\"L\",s+a-p,h-f,\"l\",-x,f-c,\"Z\"),v=[];if(n&&v.push(\"X\"===o?\"translate(\"+this.fixed(-n)+\" 0)\":\"translate(0 \"+this.fixed(n)+\")\"),r){var w=this.jax.fixed(180*-r/Math.PI);v.push(\"rotate(\"+w+\" \"+this.fixed(s/2)+\" \"+this.fixed(h)+\")\")}return v.length&&this.adaptor.setAttribute(g,\"transform\",v.join(\" \")),g},r.prototype.line=function(t){var r=d(t,4),e=r[0],o=r[1],n=r[2],i=r[3];return this.svg(\"line\",{x1:this.fixed(e),y1:this.fixed(o),x2:this.fixed(n),y2:this.fixed(i),\"stroke-width\":this.fixed(this.thickness)})},r.prototype.box=function(t,r,e,o){void 0===o&&(o=0);var n=this.thickness,i={x:this.fixed(n/2),y:this.fixed(n/2-e),width:this.fixed(t-n),height:this.fixed(r+e-n),fill:\"none\",\"stroke-width\":this.fixed(n)};return o&&(i.rx=this.fixed(o)),this.svg(\"rect\",i)},r.prototype.ellipse=function(t,r,e){var o=this.thickness;return this.svg(\"ellipse\",{rx:this.fixed((t-o)/2),ry:this.fixed((r+e-o)/2),cx:this.fixed(t/2),cy:this.fixed((r-e)/2),fill:\"none\",\"stroke-width\":this.fixed(o)})},r.prototype.path=function(t){for(var r=this,e=[],o=1;o<arguments.length;o++)e[o-1]=arguments[o];return this.svg(\"path\",{d:e.map((function(t){return\"string\"==typeof t?t:r.fixed(t)})).join(\" 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bottom\"}],[\"roundedbox\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness+t.padding;t.adaptor.append(t.element,t.box(o,n,i,s))},bbox:f.fullBBox}],[\"circle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d;t.adaptor.append(t.element,t.ellipse(o,n,i))},bbox:f.fullBBox}],[\"phasorangle\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.getArgMod(1.75*t.padding,n+i)[0],a=t.thickness/2,d=n+i,h=Math.cos(s);t.adaptor.append(t.element,t.path(\"mitre\",\"M\",o,a-i,\"L\",a+h*a,a-i,\"L\",h*d+a,d-i-a))},bbox:function(t){var r=t.padding/2,e=t.thickness;return[2*r,r,r+e,3*r+e]},border:function(t){return[0,0,t.thickness,0]},remove:\"bottom\"}],f.Arrow(\"up\"),f.Arrow(\"down\"),f.Arrow(\"left\"),f.Arrow(\"right\"),f.Arrow(\"updown\"),f.Arrow(\"leftright\"),f.DiagonalArrow(\"updiagonal\"),f.DiagonalArrow(\"northeast\"),f.DiagonalArrow(\"southeast\"),f.DiagonalArrow(\"northwest\"),f.DiagonalArrow(\"southwest\"),f.DiagonalArrow(\"northeastsouthwest\"),f.DiagonalArrow(\"northwestsoutheast\"),[\"longdiv\",{renderer:function(t,r){var e=t.getBBox(),o=e.w,n=e.h,i=e.d,s=t.thickness/2,a=t.padding;t.adaptor.append(t.element,t.path(\"round\",\"M\",s,s-i,\"a\",a-s/2,(n+i)/2-4*s,0,\"0,1\",0,n+i-2*s,\"L\",o-s,n-s))},bbox:function(t){var r=t.padding,e=t.thickness;return[r+e,r,r,2*r+e/2]}}],[\"radical\",{renderer:function(t,r){t.msqrt.toSVG(r);var e=t.sqrtTRBL()[3];t.place(-e,0,r)},init:function(t){t.msqrt=t.createMsqrt(t.childNodes[0])},bbox:function(t){return t.sqrtTRBL()},renderChild:!0}]]),r}(l.CommonMencloseMixin(h.SVGWrapper));e.SVGmenclose=p},\n      646: function _(t,r,e,o,n){var i,a=this&&this.__extends||(i=function(t,r){return i=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var e in r)Object.prototype.hasOwnProperty.call(r,e)&&(t[e]=r[e])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function e(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(e.prototype=r.prototype,new e)}),s=this&&this.__read||function(t,r){var e=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!e)return t;var o,n,i=e.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(o=i.next()).done;)a.push(o.value)}catch(t){n={error:t}}finally{try{o&&!o.done&&(e=i.return)&&e.call(i)}finally{if(n)throw n.error}}return a},h=this&&this.__spreadArray||function(t,r){for(var e=0,o=r.length,n=t.length;e<o;e++,n++)t[n]=r[e];return t},l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,e=r&&t[r],o=0;if(e)return e.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&o>=t.length&&(t=void 0),{value:t&&t[o++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var d=t(647),c=t(530);e.CommonMencloseMixin=function(t){return function(t){function r(){for(var r=[],e=0;e<arguments.length;e++)r[e]=arguments[e];var o=t.apply(this,h([],s(r)))||this;return o.notations={},o.renderChild=null,o.msqrt=null,o.padding=d.PADDING,o.thickness=d.THICKNESS,o.arrowhead={x:d.ARROWX,y:d.ARROWY,dx:d.ARROWDX},o.TRBL=[0,0,0,0],o.getParameters(),o.getNotations(),o.removeRedundantNotations(),o.initializeNotations(),o.TRBL=o.getBBoxExtenders(),o}return a(r,t),r.prototype.getParameters=function(){var t=this.node.attributes,r=t.get(\"data-padding\");void 0!==r&&(this.padding=this.length2em(r,d.PADDING));var e=t.get(\"data-thickness\");void 0!==e&&(this.thickness=this.length2em(e,d.THICKNESS));var o=t.get(\"data-arrowhead\");if(void 0!==o){var n=s(c.split(o),3),i=n[0],a=n[1],h=n[2];this.arrowhead={x:i?parseFloat(i):d.ARROWX,y:a?parseFloat(a):d.ARROWY,dx:h?parseFloat(h):d.ARROWDX}}},r.prototype.getNotations=function(){var t,r,e=this.constructor.notations;try{for(var o=l(c.split(this.node.attributes.get(\"notation\"))),n=o.next();!n.done;n=o.next()){var i=n.value,a=e.get(i);a&&(this.notations[i]=a,a.renderChild&&(this.renderChild=a.renderer))}}catch(r){t={error:r}}finally{try{n&&!n.done&&(r=o.return)&&r.call(o)}finally{if(t)throw t.error}}},r.prototype.removeRedundantNotations=function(){var t,r,e,o;try{for(var n=l(Object.keys(this.notations)),i=n.next();!i.done;i=n.next()){var a=i.value;if(this.notations[a]){var s=this.notations[a].remove||\"\";try{for(var h=(e=void 0,l(s.split(/ /))),d=h.next();!d.done;d=h.next()){var c=d.value;delete 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t=s([this.padding,this.thickness],2),r=t[0],e=t[1]*(this.arrowhead.x+Math.max(1,this.arrowhead.dx)),o=this.childNodes[0].getBBox(),n=o.h,i=o.d,a=o.w,h=n+i,l=Math.sqrt(h*h+a*a),d=Math.max(r,e*a/l),c=Math.max(r,e*h/l),u=s(this.getArgMod(a+2*d,h+2*c),2);return{a:u[0],W:u[1],x:d,y:c}},r.prototype.arrowAW=function(){var t=this.childNodes[0].getBBox(),r=t.h,e=t.d,o=t.w,n=s(this.TRBL,4),i=n[0],a=n[1],h=n[2],l=n[3];return this.getArgMod(l+o+a,i+r+e+h)},r.prototype.createMsqrt=function(t){var r=this.node.factory.create(\"msqrt\");r.inheritAttributesFrom(this.node),r.childNodes[0]=t.node;var e=this.wrap(r);return e.parent=this,e},r.prototype.sqrtTRBL=function(){var t=this.msqrt.getBBox(),r=this.msqrt.childNodes[0].getBBox();return[t.h-r.h,0,t.d-r.d,t.w-r.w]},r}(t)}},\n      647: function _(r,o,n,t,a){var e=this&&this.__read||function(r,o){var n=\"function\"==typeof Symbol&&r[Symbol.iterator];if(!n)return r;var t,a,e=n.call(r),i=[];try{for(;(void 0===o||o-- 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o},n.arrowDef={up:[-Math.PI/2,!1,!0,\"verticalstrike\"],down:[Math.PI/2,!1,!0,\"verticakstrike\"],right:[0,!1,!1,\"horizontalstrike\"],left:[Math.PI,!1,!1,\"horizontalstrike\"],updown:[Math.PI/2,!0,!0,\"verticalstrike uparrow downarrow\"],leftright:[0,!0,!1,\"horizontalstrike leftarrow rightarrow\"]},n.diagonalArrowDef={updiagonal:[-1,0,!1,\"updiagonalstrike northeastarrow\"],northeast:[-1,0,!1,\"updiagonalstrike updiagonalarrow\"],southeast:[1,0,!1,\"downdiagonalstrike\"],northwest:[1,Math.PI,!1,\"downdiagonalstrike\"],southwest:[-1,Math.PI,!1,\"updiagonalstrike\"],northeastsouthwest:[-1,0,!0,\"updiagonalstrike northeastarrow updiagonalarrow southwestarrow\"],northwestsoutheast:[1,0,!0,\"downdiagonalstrike northwestarrow southeastarrow\"]},n.arrowBBox={up:function(r){return n.arrowBBoxW(r,[n.arrowHead(r),0,r.padding,0])},down:function(r){return n.arrowBBoxW(r,[r.padding,0,n.arrowHead(r),0])},right:function(r){return 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r)Object.prototype.hasOwnProperty.call(r,n)&&(t[n]=r[n])},i(t,r)},function(t,r){if(\"function\"!=typeof r&&null!==r)throw new TypeError(\"Class extends value \"+String(r)+\" is not a constructor or null\");function n(){this.constructor=t}i(t,r),t.prototype=null===r?Object.create(r):(n.prototype=r.prototype,new n)}),l=this&&this.__values||function(t){var r=\"function\"==typeof Symbol&&Symbol.iterator,n=r&&t[r],e=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")},s=this&&this.__read||function(t,r){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var e,o,i=n.call(t),a=[];try{for(;(void 0===r||r-- >0)&&!(e=i.next()).done;)a.push(e.value)}catch(t){o={error:t}}finally{try{e&&!e.done&&(n=i.return)&&n.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__spreadArray||function(t,r){for(var n=0,e=r.length,o=t.length;n<e;n++,o++)t[o]=r[n];return t};e();var f=function(){function t(){this.bits=0}return t.allocate=function(){for(var r,n,e=[],o=0;o<arguments.length;o++)e[o]=arguments[o];try{for(var i=l(e),a=i.next();!a.done;a=i.next()){var s=a.value;if(this.has(s))throw new Error(\"Bit already allocated for \"+s);if(this.next===t.MAXBIT)throw new Error(\"Maximum number of bits already allocated\");this.names.set(s,this.next),this.next<<=1}}catch(t){r={error:t}}finally{try{a&&!a.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}},t.has=function(t){return this.names.has(t)},t.prototype.set=function(t){this.bits|=this.getBit(t)},t.prototype.clear=function(t){this.bits&=~this.getBit(t)},t.prototype.isSet=function(t){return!!(this.bits&this.getBit(t))},t.prototype.reset=function(){this.bits=0},t.prototype.getBit=function(t){var r=this.constructor.names.get(t);if(!r)throw new Error(\"Unknown bit-field name: \"+t);return r},t.MAXBIT=1<<31,t.next=1,t.names=new 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t},s.apply(this,arguments)},l=this&&this.__read||function(t,e){var r=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),a=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)a.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return a},u=this&&this.__values||function(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.\")};n();var h=t(720),c=t(526),d=t(732),p=t(733),f=t(734),y=t(531),m=function(t){function e(e,r,n){var o=this,i=l(c.separateOptions(n,f.HTMLDomStrings.OPTIONS),2),a=i[0],s=i[1];return(o=t.call(this,e,r,a)||this).domStrings=o.options.DomStrings||new f.HTMLDomStrings(s),o.domStrings.adaptor=r,o.styles=[],o}return a(e,t),e.prototype.findPosition=function(t,e,r,n){var o,i,a=this.adaptor;try{for(var s=u(n[t]),h=s.next();!h.done;h=s.next()){var c=h.value,d=l(c,2),p=d[0],f=d[1];if(e<=f&&\"#text\"===a.kind(p))return{node:p,n:Math.max(e,0),delim:r};e-=f}}catch(t){o={error:t}}finally{try{h&&!h.done&&(i=s.return)&&i.call(s)}finally{if(o)throw o.error}}return{node:null,n:0,delim:r}},e.prototype.mathItem=function(t,e,r){var n=t.math,o=this.findPosition(t.n,t.start.n,t.open,r),i=this.findPosition(t.n,t.end.n,t.close,r);return new this.options.MathItem(n,e,t.display,o,i)},e.prototype.findMath=function(t){var e,r,n,o,i,a,s,h,d;if(!this.processed.isSet(\"findMath\")){this.adaptor.document=this.document,t=c.userOptions({elements:this.options.elements||[this.adaptor.body(this.document)]},t);try{for(var p=u(this.adaptor.getElements(t.elements,this.document)),f=p.next();!f.done;f=p.next()){var y=f.value,m=l([null,null],2),v=m[0],S=m[1];try{for(var g=(n=void 0,u(this.inputJax)),x=g.next();!x.done;x=g.next()){var M=x.value,T=new this.options.MathList;if(M.processStrings){null===v&&(v=(i=l(this.domStrings.find(y),2))[0],S=i[1]);try{for(var b=(a=void 0,u(M.findMath(v))),w=b.next();!w.done;w=b.next()){var O=w.value;T.push(this.mathItem(O,M,S))}}catch(t){a={error:t}}finally{try{w&&!w.done&&(s=b.return)&&s.call(b)}finally{if(a)throw a.error}}}else try{for(var D=(h=void 0,u(M.findMath(y))),E=D.next();!E.done;E=D.next()){O=E.value;var _=new this.options.MathItem(O.math,M,O.display,O.start,O.end);T.push(_)}}catch(t){h={error:t}}finally{try{E&&!E.done&&(d=D.return)&&d.call(D)}finally{if(h)throw h.error}}this.math.merge(T)}}catch(t){n={error:t}}finally{try{x&&!x.done&&(o=g.return)&&o.call(g)}finally{if(n)throw n.error}}}}catch(t){e={error:t}}finally{try{f&&!f.done&&(r=p.return)&&r.call(p)}finally{if(e)throw e.error}}this.processed.set(\"findMath\")}return this},e.prototype.updateDocument=function(){return this.processed.isSet(\"updateDocument\")||(this.addPageElements(),this.addStyleSheet(),t.prototype.updateDocument.call(this),this.processed.set(\"updateDocument\")),this},e.prototype.addPageElements=function(){var t=this.adaptor.body(this.document),e=this.documentPageElements();e&&this.adaptor.append(t,e)},e.prototype.addStyleSheet=function(){var t=this.documentStyleSheet(),e=this.adaptor;if(t&&!e.parent(t)){var r=e.head(this.document),n=this.findSheet(r,e.getAttribute(t,\"id\"));n?e.replace(t,n):e.append(r,t)}},e.prototype.findSheet=function(t,e){var r,n;if(e)try{for(var o=u(this.adaptor.tags(t,\"style\")),i=o.next();!i.done;i=o.next()){var a=i.value;if(this.adaptor.getAttribute(a,\"id\")===e)return a}}catch(t){r={error:t}}finally{try{i&&!i.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}return null},e.prototype.removeFromDocument=function(t){var e,r;if(void 0===t&&(t=!1),this.processed.isSet(\"updateDocument\"))try{for(var n=u(this.math),o=n.next();!o.done;o=n.next()){var 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e=this.start.node;if(e===this.end.node)this.end.n&&this.end.n<this.adaptor.value(this.end.node).length&&this.adaptor.split(this.end.node,this.end.n),this.start.n&&(e=this.adaptor.split(this.start.node,this.start.n)),this.adaptor.replace(this.typesetRoot,e);else{for(this.start.n&&(e=this.adaptor.split(e,this.start.n));e!==this.end.node;){var n=this.adaptor.next(e);this.adaptor.remove(e),e=n}this.adaptor.insert(this.typesetRoot,e),this.end.n<this.adaptor.value(e).length&&this.adaptor.split(e,this.end.n),this.adaptor.remove(e)}}else this.adaptor.replace(this.typesetRoot,this.start.node);this.start.node=this.end.node=this.typesetRoot,this.start.n=this.end.n=0,this.state(a.STATE.INSERTED)}},e.prototype.updateStyleSheet=function(t){t.addStyleSheet()},e.prototype.removeFromDocument=function(t){if(void 0===t&&(t=!1),this.state()>=a.STATE.TYPESET){var e=this.adaptor,n=this.start.node,s=e.text(\"\");if(t){var 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i=this.adaptor.getAttribute(t,\"class\")||\"\",n=this.adaptor.kind(t)||\"\",r=this.processHtmlClass.exec(i),e=t;return!this.adaptor.firstChild(t)||this.adaptor.getAttribute(t,\"data-MJX\")||!r&&this.skipHtmlTags.exec(n)?e=this.adaptor.next(t):(this.adaptor.next(t)&&this.stack.push([this.adaptor.next(t),s]),e=this.adaptor.firstChild(t),s=(s||this.ignoreHtmlClass.exec(i))&&!r),[e,s]},t.prototype.handleOther=function(t,s){return this.pushString(),this.adaptor.next(t)},t.prototype.find=function(t){var s,i;this.init();for(var n=this.adaptor.next(t),r=!1,o=this.options.includeHtmlTags;t&&t!==n;){var a=this.adaptor.kind(t);\"#text\"===a?t=this.handleText(t,r):o.hasOwnProperty(a)?t=this.handleTag(t,r):a?(t=(s=e(this.handleContainer(t,r),2))[0],r=s[1]):t=this.handleOther(t,r),!t&&this.stack.length&&(this.pushString(),t=(i=e(this.stack.pop(),2))[0],r=i[1])}this.pushString();var h=[this.strings,this.nodes];return this.init(),h},t.OPTIONS={skipHtmlTags:[\"script\",\"noscript\",\"style\",\"textarea\",\"pre\",\"code\",\"annotation\",\"annotation-xml\"],includeHtmlTags:{br:\"\\n\",wbr:\"\",\"#comment\":\"\"},ignoreHtmlClass:\"mathjax_ignore\",processHtmlClass:\"mathjax_process\"},t}();i.HTMLDomStrings=a},\n      735: function _(e,t,o,x,a){x(),e(553),e(736),e(737),e(741),e(744),e(745),e(746),e(750),e(755),e(757),e(759),e(760),e(764),e(765),e(766),e(770),e(756),e(771),e(774),e(775),e(777),e(783),e(772),e(785),e(786),e(787),e(791),e(792),e(793),e(797),e(799),e(800),e(801),\"undefined\"!=typeof MathJax&&MathJax.loader&&MathJax.loader.preLoad(\"[tex]/action\",\"[tex]/ams\",\"[tex]/amscd\",\"[tex]/bbox\",\"[tex]/boldsymbol\",\"[tex]/braket\",\"[tex]/bussproofs\",\"[tex]/cancel\",\"[tex]/cases\",\"[tex]/centernot\",\"[tex]/color\",\"[tex]/colorv2\",\"[tex]/colortbl\",\"[tex]/empheq\",\"[tex]/enclose\",\"[tex]/extpfeil\",\"[tex]/gensymb\",\"[tex]/html\",\"[tex]/mathtools\",\"[tex]/mhchem\",\"[tex]/newcommand\",\"[tex]/noerrors\",\"[tex]/noundefined\",\"[tex]/physics\",\"[tex]/upgreek\",\"[tex]/unicode\",\"[tex]/verb\",\"[tex]/configmacros\",\"[tex]/tagformat\",\"[tex]/textcomp\",\"[tex]/textmacros\",\"[tex]/setoptions\"),o.AllPackages=[\"base\",\"action\",\"ams\",\"amscd\",\"bbox\",\"boldsymbol\",\"braket\",\"bussproofs\",\"cancel\",\"cases\",\"centernot\",\"color\",\"colortbl\",\"empheq\",\"enclose\",\"extpfeil\",\"gensymb\",\"html\",\"mathtools\",\"mhchem\",\"newcommand\",\"noerrors\",\"noundefined\",\"upgreek\",\"unicode\",\"verb\",\"configmacros\",\"tagformat\",\"textcomp\",\"textmacros\"]},\n      736: function _(t,o,a,n,e){n();var i=t(551),c=t(539),r=t(554),g=t(559);a.ActionMethods={},a.ActionMethods.Macro=g.default.Macro,a.ActionMethods.Toggle=function(t,o){for(var a,n=[];\"\\\\endtoggle\"!==(a=t.GetArgument(o));)n.push(new c.default(a,t.stack.env,t.configuration).mml());t.Push(t.create(\"node\",\"maction\",n,{actiontype:\"toggle\"}))},a.ActionMethods.Mathtip=function(t,o){var a=t.ParseArg(o),n=t.ParseArg(o);t.Push(t.create(\"node\",\"maction\",[a,n],{actiontype:\"tooltip\"}))},new r.CommandMap(\"action-macros\",{toggle:\"Toggle\",mathtip:\"Mathtip\",texttip:[\"Macro\",\"\\\\mathtip{#1}{\\\\text{#2}}\",2]},a.ActionMethods),a.ActionConfiguration=i.Configuration.create(\"action\",{handler:{macro:[\"action-macros\"]}})},\n      737: function _(t,n,o,i,e){var r,a,s=this&&this.__extends||(r=function(t,n){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,n){t.__proto__=n}||function(t,n){for(var o in n)Object.prototype.hasOwnProperty.call(n,o)&&(t[o]=n[o])},r(t,n)},function(t,n){if(\"function\"!=typeof n&&null!==n)throw new TypeError(\"Class extends value \"+String(n)+\" is not a constructor or null\");function o(){this.constructor=t}r(t,n),t.prototype=null===n?Object.create(n):(o.prototype=n.prototype,new o)});i();var l=t(551),m=t(738),p=t(550),u=t(739);t(740);var c=t(554),h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return s(n,t),n}(p.AbstractTags);o.AmsTags=h;o.AmsConfiguration=l.Configuration.create(\"ams\",{handler:{delimiter:[\"AMSsymbols-delimiter\",\"AMSmath-delimiter\"],macro:[\"AMSsymbols-mathchar0mi\",\"AMSsymbols-mathchar0mo\",\"AMSsymbols-delimiter\",\"AMSsymbols-macros\",\"AMSmath-mathchar0mo\",\"AMSmath-macros\",\"AMSmath-delimiter\"],environment:[\"AMSmath-environment\"]},items:(a={},a[m.MultlineItem.prototype.kind]=m.MultlineItem,a[m.FlalignItem.prototype.kind]=m.FlalignItem,a),tags:{ams:h},init:function(t){new c.CommandMap(u.NEW_OPS,{},{}),t.append(l.Configuration.local({handler:{macro:[u.NEW_OPS]},priority:-1}))},config:function(t,n){n.parseOptions.options.multlineWidth&&(n.parseOptions.options.ams.multlineWidth=n.parseOptions.options.multlineWidth),delete n.parseOptions.options.multlineWidth},options:{multlineWidth:\"\",ams:{multlineWidth:\"100%\",multlineIndent:\"1em\"}}})},\n      738: function _(t,e,n,r,i){var o,a=this&&this.__extends||(o=function(t,e){return o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n])},o(t,e)},function(t,e){if(\"function\"!=typeof e&&null!==e)throw new TypeError(\"Class extends value \"+String(e)+\" is not a constructor or null\");function n(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),l=this&&this.__assign||function(){return l=Object.assign||function(t){for(var e,n=1,r=arguments.length;n<r;n++)for(var i in e=arguments[n])Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i]);return t},l.apply(this,arguments)};r();var s=t(556),h=t(540),u=t(536),d=t(541),c=t(558),f=function(t){function e(e){for(var n=[],r=1;r<arguments.length;r++)n[r-1]=arguments[r];var i=t.call(this,e)||this;return i.factory.configuration.tags.start(\"multline\",!0,n[0]),i}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"multline\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.table.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.getProperty(\"shove\"),e=this.create(\"node\",\"mtd\",this.nodes,t?{columnalign:t}:{});this.setProperty(\"shove\",null),this.row.push(e),this.Clear()},e.prototype.EndRow=function(){if(1!==this.row.length)throw new d.default(\"MultlineRowsOneCol\",\"The rows within the %1 environment must have exactly one column\",\"multline\");var t=this.create(\"node\",\"mtr\",this.row);this.table.push(t),this.row=[]},e.prototype.EndTable=function(){if(t.prototype.EndTable.call(this),this.table.length){var e=this.table.length-1,n=-1;u.default.getAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[0])[0],\"columnalign\",c.TexConstant.Align.LEFT),u.default.getAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\")||u.default.setAttribute(u.default.getChildren(this.table[e])[0],\"columnalign\",c.TexConstant.Align.RIGHT);var r=this.factory.configuration.tags.getTag();if(r){n=this.arraydef.side===c.TexConstant.Align.LEFT?0:this.table.length-1;var i=this.table[n],o=this.create(\"node\",\"mlabeledtr\",[r].concat(u.default.getChildren(i)));u.default.copyAttributes(i,o),this.table[n]=o}}this.factory.configuration.tags.end()},e}(s.ArrayItem);n.MultlineItem=f;var p=function(t){function e(e,n,r,i,o){var a=t.call(this,e)||this;return a.name=n,a.numbered=r,a.padded=i,a.center=o,a.factory.configuration.tags.start(n,r,r),a}return a(e,t),Object.defineProperty(e.prototype,\"kind\",{get:function(){return\"flalign\"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){t.prototype.EndEntry.call(this);var e=this.getProperty(\"xalignat\");if(e&&this.row.length>e)throw new d.default(\"XalignOverflow\",\"Extra %1 in row of %2\",\"&\",this.name)},e.prototype.EndRow=function(){for(var e,n=this.row,r=this.getProperty(\"xalignat\");n.length<r;)n.push(this.create(\"node\",\"mtd\"));for(this.row=[],this.padded&&this.row.push(this.create(\"node\",\"mtd\"));e=n.shift();)this.row.push(e),(e=n.shift())&&this.row.push(e),(n.length||this.padded)&&this.row.push(this.create(\"node\",\"mtd\"));this.row.length>this.maxrow&&(this.maxrow=this.row.length),t.prototype.EndRow.call(this);var i=this.table[this.table.length-1];if(this.getProperty(\"zeroWidthLabel\")&&i.isKind(\"mlabeledtr\")){var o=u.default.getChildren(i)[0],a=this.factory.configuration.options.tagSide,s=l({width:0},\"right\"===a?{lspace:\"-1width\"}:{}),h=this.create(\"node\",\"mpadded\",u.default.getChildren(o),s);o.setChildren([h])}},e.prototype.EndTable=function(){(t.prototype.EndTable.call(this),this.center)&&(this.maxrow<=2&&(delete this.arraydef.width,delete this.global.indentalign))},e}(s.EqnArrayItem);n.FlalignItem=p},\n      739: function _(e,t,a,n,r){n();var i=e(540),s=e(536),l=e(558),o=e(539),d=e(541),m=e(555),u=e(559),c=e(533);a.AmsMethods={},a.AmsMethods.AmsEqnArray=function(e,t,a,n,r,s,l){var o=e.GetBrackets(\"\\\\begin{\"+t.getName()+\"}\"),d=u.default.EqnArray(e,t,a,n,r,s,l);return i.default.setArrayAlign(d,o)},a.AmsMethods.AlignAt=function(e,t,n,r){var s,l,o=t.getName(),m=\"\",u=[];if(r||(l=e.GetBrackets(\"\\\\begin{\"+o+\"}\")),(s=e.GetArgument(\"\\\\begin{\"+o+\"}\")).match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+o+\"}\");for(var c=parseInt(s,10);c>0;)m+=\"rl\",u.push(\"0em 0em\"),c--;var f=u.join(\" \");if(r)return a.AmsMethods.EqnArray(e,t,n,r,m,f);var g=a.AmsMethods.EqnArray(e,t,n,r,m,f);return i.default.setArrayAlign(g,l)},a.AmsMethods.Multline=function(e,t,a){e.Push(t),i.default.checkEqnEnv(e);var n=e.itemFactory.create(\"multline\",a,e.stack);return n.arraydef={displaystyle:!0,rowspacing:\".5em\",columnspacing:\"100%\",width:e.options.ams.multlineWidth,side:e.options.tagSide,minlabelspacing:e.options.tagIndent,framespacing:e.options.ams.multlineIndent+\" 0\",frame:\"\",\"data-width-includes-label\":!0},n},a.AmsMethods.XalignAt=function(e,t,n,r){var i=e.GetArgument(\"\\\\begin{\"+t.getName()+\"}\");if(i.match(/[^0-9]/))throw new d.default(\"PositiveIntegerArg\",\"Argument to %1 must me a positive integer\",\"\\\\begin{\"+t.getName()+\"}\");var s=r?\"crl\":\"rlc\",l=r?\"fit auto auto\":\"auto auto fit\",o=a.AmsMethods.FlalignArray(e,t,n,r,!1,s,l,!0);return o.setProperty(\"xalignat\",2*parseInt(i)),o},a.AmsMethods.FlalignArray=function(e,t,a,n,r,s,l,o){void 0===o&&(o=!1),e.Push(t),i.default.checkEqnEnv(e),s=s.split(\"\").join(\" \").replace(/r/g,\"right\").replace(/l/g,\"left\").replace(/c/g,\"center\");var d=e.itemFactory.create(\"flalign\",t.getName(),a,n,r,e.stack);return d.arraydef={width:\"100%\",displaystyle:!0,columnalign:s,columnspacing:\"0em\",columnwidth:l,rowspacing:\"3pt\",side:e.options.tagSide,minlabelspacing:o?\"0\":e.options.tagIndent,\"data-width-includes-label\":!0},d.setProperty(\"zeroWidthLabel\",o),d},a.NEW_OPS=\"ams-declare-ops\",a.AmsMethods.HandleDeclareOp=function(e,t){var n=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",r=i.default.trimSpaces(e.GetArgument(t));\"\\\\\"===r.charAt(0)&&(r=r.substr(1));var s=e.GetArgument(t);s.match(/\\\\text/)||(s=s.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.configuration.handlers.retrieve(a.NEW_OPS).add(r,new m.Macro(r,a.AmsMethods.Macro,[\"\\\\mathop{\\\\rm \"+s+\"}\"+n]))},a.AmsMethods.HandleOperatorName=function(e,t){var a=e.GetStar()?\"\":\"\\\\nolimits\\\\SkipLimits\",n=i.default.trimSpaces(e.GetArgument(t));n.match(/\\\\text/)||(n=n.replace(/\\*/g,\"\\\\text{*}\").replace(/-/g,\"\\\\text{-}\")),e.string=\"\\\\mathop{\\\\rm \"+n+\"}\"+a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.SkipLimits=function(e,t){var a=e.GetNext(),n=e.i;\"\\\\\"===a&&++e.i&&\"limits\"!==e.GetCS()&&(e.i=n)},a.AmsMethods.MultiIntegral=function(e,t,a){var n=e.GetNext();if(\"\\\\\"===n){var r=e.i;n=e.GetArgument(t),e.i=r,\"\\\\limits\"===n&&(a=\"\\\\idotsint\"===t?\"\\\\!\\\\!\\\\mathop{\\\\,\\\\,\"+a+\"}\":\"\\\\!\\\\!\\\\!\\\\mathop{\\\\,\\\\,\\\\,\"+a+\"}\")}e.string=a+\" \"+e.string.slice(e.i),e.i=0},a.AmsMethods.xArrow=function(e,t,a,n,r){var l={width:\"+\"+i.default.Em((n+r)/18),lspace:i.default.Em(n/18)},d=e.GetBrackets(t),m=e.ParseArg(t),u=e.create(\"node\",\"mspace\",[],{depth:\".25em\"}),f=e.create(\"token\",\"mo\",{stretchy:!0,texClass:c.TEXCLASS.REL},String.fromCodePoint(a));f=e.create(\"node\",\"mstyle\",[f],{scriptlevel:0});var g=e.create(\"node\",\"munderover\",[f]),A=e.create(\"node\",\"mpadded\",[m,u],l);if(s.default.setAttribute(A,\"voffset\",\"-.2em\"),s.default.setAttribute(A,\"height\",\"-.2em\"),s.default.setChild(g,g.over,A),d){var h=new o.default(d,e.stack.env,e.configuration).mml(),p=e.create(\"node\",\"mspace\",[],{height:\".75em\"});A=e.create(\"node\",\"mpadded\",[h,p],l),s.default.setAttribute(A,\"voffset\",\".15em\"),s.default.setAttribute(A,\"depth\",\"-.15em\"),s.default.setChild(g,g.under,A)}s.default.setProperty(g,\"subsupOK\",!0),e.Push(g)},a.AmsMethods.HandleShove=function(e,t,a){var n=e.stack.Top();if(\"multline\"!==n.kind)throw new d.default(\"CommandOnlyAllowedInEnv\",\"%1 only allowed in %2 environment\",e.currentCS,\"multline\");if(n.Size())throw new d.default(\"CommandAtTheBeginingOfLine\",\"%1 must come at the beginning of the line\",e.currentCS);n.setProperty(\"shove\",a)},a.AmsMethods.CFrac=function(e,t){var a=i.default.trimSpaces(e.GetBrackets(t,\"\")),n=e.GetArgument(t),r=e.GetArgument(t),m={l:l.TexConstant.Align.LEFT,r:l.TexConstant.Align.RIGHT,\"\":\"\"},u=new o.default(\"\\\\strut\\\\textstyle{\"+n+\"}\",e.stack.env,e.configuration).mml(),c=new o.default(\"\\\\strut\\\\textstyle{\"+r+\"}\",e.stack.env,e.configuration).mml(),f=e.create(\"node\",\"mfrac\",[u,c]);if(null==(a=m[a]))throw new d.default(\"IllegalAlign\",\"Illegal alignment specified in %1\",e.currentCS);a&&s.default.setProperties(f,{numalign:a,denomalign:a}),e.Push(f)},a.AmsMethods.Genfrac=function(e,t,a,n,r,l){null==a&&(a=e.GetDelimiterArg(t)),null==n&&(n=e.GetDelimiterArg(t)),null==r&&(r=e.GetArgument(t)),null==l&&(l=i.default.trimSpaces(e.GetArgument(t)));var o=e.ParseArg(t),m=e.ParseArg(t),u=e.create(\"node\",\"mfrac\",[o,m]);if(\"\"!==r&&s.default.setAttribute(u,\"linethickness\",r),(a||n)&&(s.default.setProperty(u,\"withDelims\",!0),u=i.default.fixedFence(e.configuration,a,u,n)),\"\"!==l){var c=parseInt(l,10),f=[\"D\",\"T\",\"S\",\"SS\"][c];if(null==f)throw new d.default(\"BadMathStyleFor\",\"Bad math style for %1\",e.currentCS);u=e.create(\"node\",\"mstyle\",[u]),\"D\"===f?s.default.setProperties(u,{displaystyle:!0,scriptlevel:0}):s.default.setProperties(u,{displaystyle:!1,scriptlevel:c-1})}e.Push(u)},a.AmsMethods.HandleTag=function(e,t){if(!e.tags.currentTag.taggable&&e.tags.env)throw new d.default(\"CommandNotAllowedInEnv\",\"%1 not allowed in %2 environment\",e.currentCS,e.tags.env);if(e.tags.currentTag.tag)throw new d.default(\"MultipleCommand\",\"Multiple %1\",e.currentCS);var a=e.GetStar(),n=i.default.trimSpaces(e.GetArgument(t));e.tags.tag(n,a)},a.AmsMethods.HandleNoTag=u.default.HandleNoTag,a.AmsMethods.HandleRef=u.default.HandleRef,a.AmsMethods.Macro=u.default.Macro,a.AmsMethods.Accent=u.default.Accent,a.AmsMethods.Tilde=u.default.Tilde,a.AmsMethods.Array=u.default.Array,a.AmsMethods.Spacer=u.default.Spacer,a.AmsMethods.NamedOp=u.default.NamedOp,a.AmsMethods.EqnArray=u.default.EqnArray,a.AmsMethods.Equation=u.default.Equation},\n      740: function _(a,r,t,e,n){e();var l=a(739),i=a(554),o=a(558),s=a(561),m=a(540),c=a(533),h=a(560);new i.CharacterMap(\"AMSmath-mathchar0mo\",s.default.mathchar0mo,{iiiint:[\"\\u2a0c\",{texClass:c.TEXCLASS.OP}]}),new i.CommandMap(\"AMSmath-macros\",{mathring:[\"Accent\",\"02DA\"],nobreakspace:\"Tilde\",negmedspace:[\"Spacer\",h.MATHSPACE.negativemediummathspace],negthickspace:[\"Spacer\",h.MATHSPACE.negativethickmathspace],idotsint:[\"MultiIntegral\",\"\\\\int\\\\cdots\\\\int\"],dddot:[\"Accent\",\"20DB\"],ddddot:[\"Accent\",\"20DC\"],sideset:[\"Macro\",\"\\\\mathop{\\\\mathop{\\\\rlap{\\\\phantom{#3}}}\\\\nolimits#1\\\\!\\\\mathop{#3}\\\\nolimits#2}\",3],boxed:[\"Macro\",\"\\\\fbox{$\\\\displaystyle{#1}$}\",1],tag:\"HandleTag\",notag:\"HandleNoTag\",eqref:[\"HandleRef\",!0],substack:[\"Macro\",\"\\\\begin{subarray}{c}#1\\\\end{subarray}\",1],injlim:[\"NamedOp\",\"inj&thinsp;lim\"],projlim:[\"NamedOp\",\"proj&thinsp;lim\"],varliminf:[\"Macro\",\"\\\\mathop{\\\\underline{\\\\mmlToken{mi}{lim}}}\"],varlimsup:[\"Macro\",\"\\\\mathop{\\\\overline{\\\\mmlToken{mi}{lim}}}\"],varinjlim:[\"Macro\",\"\\\\mathop{\\\\underrightarrow{\\\\mmlToken{mi}{lim}}}\"],varprojlim:[\"Macro\",\"\\\\mathop{\\\\underleftarrow{\\\\mmlToken{mi}{lim}}}\"],DeclareMathOperator:\"HandleDeclareOp\",operatorname:\"HandleOperatorName\",SkipLimits:\"SkipLimits\",genfrac:\"Genfrac\",frac:[\"Genfrac\",\"\",\"\",\"\",\"\"],tfrac:[\"Genfrac\",\"\",\"\",\"\",\"1\"],dfrac:[\"Genfrac\",\"\",\"\",\"\",\"0\"],binom:[\"Genfrac\",\"(\",\")\",\"0\",\"\"],tbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"1\"],dbinom:[\"Genfrac\",\"(\",\")\",\"0\",\"0\"],cfrac:\"CFrac\",shoveleft:[\"HandleShove\",o.TexConstant.Align.LEFT],shoveright:[\"HandleShove\",o.TexConstant.Align.RIGHT],xrightarrow:[\"xArrow\",8594,5,10],xleftarrow:[\"xArrow\",8592,10,5]},l.AmsMethods),new i.EnvironmentMap(\"AMSmath-environment\",s.default.environment,{\"equation*\":[\"Equation\",null,!1],\"eqnarray*\":[\"EqnArray\",null,!1,!0,\"rcl\",m.default.cols(0,h.MATHSPACE.thickmathspace),\".5em\"],align:[\"EqnArray\",null,!0,!0,\"rl\",m.default.cols(0,2)],\"align*\":[\"EqnArray\",null,!1,!0,\"rl\",m.default.cols(0,2)],multline:[\"Multline\",null,!0],\"multline*\":[\"Multline\",null,!1],split:[\"EqnArray\",null,!1,!1,\"rl\",m.default.cols(0)],gather:[\"EqnArray\",null,!0,!0,\"c\"],\"gather*\":[\"EqnArray\",null,!1,!0,\"c\"],alignat:[\"AlignAt\",null,!0,!0],\"alignat*\":[\"AlignAt\",null,!1,!0],alignedat:[\"AlignAt\",null,!1,!1],aligned:[\"AmsEqnArray\",null,null,null,\"rl\",m.default.cols(0,2),\".5em\",\"D\"],gathered:[\"AmsEqnArray\",null,null,null,\"c\",null,\".5em\",\"D\"],xalignat:[\"XalignAt\",null,!0,!0],\"xalignat*\":[\"XalignAt\",null,!1,!0],xxalignat:[\"XalignAt\",null,!1,!1],flalign:[\"FlalignArray\",null,!0,!1,!0,\"rlc\",\"auto auto fit\"],\"flalign*\":[\"FlalignArray\",null,!1,!1,!0,\"rlc\",\"auto auto fit\"],subarray:[\"Array\",null,null,null,null,m.default.cols(0),\"0.1em\",\"S\",1],smallmatrix:[\"Array\",null,null,null,\"c\",m.default.cols(1/3),\".2em\",\"S\",1],matrix:[\"Array\",null,null,null,\"c\"],pmatrix:[\"Array\",null,\"(\",\")\",\"c\"],bmatrix:[\"Array\",null,\"[\",\"]\",\"c\"],Bmatrix:[\"Array\",null,\"\\\\{\",\"\\\\}\",\"c\"],vmatrix:[\"Array\",null,\"\\\\vert\",\"\\\\vert\",\"c\"],Vmatrix:[\"Array\",null,\"\\\\Vert\",\"\\\\Vert\",\"c\"],cases:[\"Array\",null,\"\\\\{\",\".\",\"ll\",null,\".2em\",\"T\"]},l.AmsMethods),new i.DelimiterMap(\"AMSmath-delimiter\",s.default.delimiter,{\"\\\\lvert\":[\"|\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rvert\":[\"|\",{texClass:c.TEXCLASS.CLOSE}],\"\\\\lVert\":[\"\\u2016\",{texClass:c.TEXCLASS.OPEN}],\"\\\\rVert\":[\"\\u2016\",{texClass:c.TEXCLASS.CLOSE}]}),new i.CharacterMap(\"AMSsymbols-mathchar0mi\",s.default.mathchar0mi,{digamma:\"\\u03dd\",varkappa:\"\\u03f0\",varGamma:[\"\\u0393\",{mathvariant:o.TexConstant.Variant.ITALIC}],varDelta:[\"\\u0394\",{mathvariant:o.TexConstant.Variant.ITALIC}],varTheta:[\"\\u0398\",{mathvariant:o.TexConstant.Variant.ITALIC}],varLambda:[\"\\u039b\",{mathvariant:o.TexConstant.Variant.ITALIC}],varXi:[\"\\u039e\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPi:[\"\\u03a0\",{mathvariant:o.TexConstant.Variant.ITALIC}],varSigma:[\"\\u03a3\",{mathvariant:o.TexConstant.Variant.ITALIC}],varUpsilon:[\"\\u03a5\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPhi:[\"\\u03a6\",{mathvariant:o.TexConstant.Variant.ITALIC}],varPsi:[\"\\u03a8\",{mathvariant:o.TexConstant.Variant.ITALIC}],varOmega:[\"\\u03a9\",{mathvariant:o.TexConstant.Variant.ITALIC}],beth:\"\\u2136\",gimel:\"\\u2137\",daleth:\"\\u2138\",backprime:[\"\\u2035\",{variantForm:!0}],hslash:\"\\u210f\",varnothing:[\"\\u2205\",{variantForm:!0}],blacktriangle:\"\\u25b4\",triangledown:[\"\\u25bd\",{variantForm:!0}],blacktriangledown:\"\\u25be\",square:\"\\u25fb\",Box:\"\\u25fb\",blacksquare:\"\\u25fc\",lozenge:\"\\u25ca\",Diamond:\"\\u25ca\",blacklozenge:\"\\u29eb\",circledS:[\"\\u24c8\",{mathvariant:o.TexConstant.Variant.NORMAL}],bigstar:\"\\u2605\",sphericalangle:\"\\u2222\",measuredangle:\"\\u2221\",nexists:\"\\u2204\",complement:\"\\u2201\",mho:\"\\u2127\",eth:[\"\\xf0\",{mathvariant:o.TexConstant.Variant.NORMAL}],Finv:\"\\u2132\",diagup:\"\\u2571\",Game:\"\\u2141\",diagdown:\"\\u2572\",Bbbk:[\"k\",{mathvariant:o.TexConstant.Variant.DOUBLESTRUCK}],yen:\"\\xa5\",circledR:\"\\xae\",checkmark:\"\\u2713\",maltese:\"\\u2720\"}),new i.CharacterMap(\"AMSsymbols-mathchar0mo\",s.default.mathchar0mo,{dotplus:\"\\u2214\",ltimes:\"\\u22c9\",smallsetminus:[\"\\u2216\",{variantForm:!0}],rtimes:\"\\u22ca\",Cap:\"\\u22d2\",doublecap:\"\\u22d2\",leftthreetimes:\"\\u22cb\",Cup:\"\\u22d3\",doublecup:\"\\u22d3\",rightthreetimes:\"\\u22cc\",barwedge:\"\\u22bc\",curlywedge:\"\\u22cf\",veebar:\"\\u22bb\",curlyvee:\"\\u22ce\",doublebarwedge:\"\\u2a5e\",boxminus:\"\\u229f\",circleddash:\"\\u229d\",boxtimes:\"\\u22a0\",circledast:\"\\u229b\",boxdot:\"\\u22a1\",circledcirc:\"\\u229a\",boxplus:\"\\u229e\",centerdot:[\"\\u22c5\",{variantForm:!0}],divideontimes:\"\\u22c7\",intercal:\"\\u22ba\",leqq:\"\\u2266\",geqq:\"\\u2267\",leqslant:\"\\u2a7d\",geqslant:\"\\u2a7e\",eqslantless:\"\\u2a95\",eqslantgtr:\"\\u2a96\",lesssim:\"\\u2272\",gtrsim:\"\\u2273\",lessapprox:\"\\u2a85\",gtrapprox:\"\\u2a86\",approxeq:\"\\u224a\",lessdot:\"\\u22d6\",gtrdot:\"\\u22d7\",lll:\"\\u22d8\",llless:\"\\u22d8\",ggg:\"\\u22d9\",gggtr:\"\\u22d9\",lessgtr:\"\\u2276\",gtrless:\"\\u2277\",lesseqgtr:\"\\u22da\",gtreqless:\"\\u22db\",lesseqqgtr:\"\\u2a8b\",gtreqqless:\"\\u2a8c\",doteqdot:\"\\u2251\",Doteq:\"\\u2251\",eqcirc:\"\\u2256\",risingdotseq:\"\\u2253\",circeq:\"\\u2257\",fallingdotseq:\"\\u2252\",triangleq:\"\\u225c\",backsim:\"\\u223d\",thicksim:[\"\\u223c\",{variantForm:!0}],backsimeq:\"\\u22cd\",thickapprox:[\"\\u2248\",{variantForm:!0}],subseteqq:\"\\u2ac5\",supseteqq:\"\\u2ac6\",Subset:\"\\u22d0\",Supset:\"\\u22d1\",sqsubset:\"\\u228f\",sqsupset:\"\\u2290\",preccurlyeq:\"\\u227c\",succcurlyeq:\"\\u227d\",curlyeqprec:\"\\u22de\",curlyeqsucc:\"\\u22df\",precsim:\"\\u227e\",succsim:\"\\u227f\",precapprox:\"\\u2ab7\",succapprox:\"\\u2ab8\",vartriangleleft:\"\\u22b2\",lhd:\"\\u22b2\",vartriangleright:\"\\u22b3\",rhd:\"\\u22b3\",trianglelefteq:\"\\u22b4\",unlhd:\"\\u22b4\",trianglerighteq:\"\\u22b5\",unrhd:\"\\u22b5\",vDash:[\"\\u22a8\",{variantForm:!0}],Vdash:\"\\u22a9\",Vvdash:\"\\u22aa\",smallsmile:[\"\\u2323\",{variantForm:!0}],shortmid:[\"\\u2223\",{variantForm:!0}],smallfrown:[\"\\u2322\",{variantForm:!0}],shortparallel:[\"\\u2225\",{variantForm:!0}],bumpeq:\"\\u224f\",between:\"\\u226c\",Bumpeq:\"\\u224e\",pitchfork:\"\\u22d4\",varpropto:[\"\\u221d\",{variantForm:!0}],backepsilon:\"\\u220d\",blacktriangleleft:\"\\u25c2\",blacktriangleright:\"\\u25b8\",therefore:\"\\u2234\",because:\"\\u2235\",eqsim:\"\\u2242\",vartriangle:[\"\\u25b3\",{variantForm:!0}],Join:\"\\u22c8\",nless:\"\\u226e\",ngtr:\"\\u226f\",nleq:\"\\u2270\",ngeq:\"\\u2271\",nleqslant:[\"\\u2a87\",{variantForm:!0}],ngeqslant:[\"\\u2a88\",{variantForm:!0}],nleqq:[\"\\u2270\",{variantForm:!0}],ngeqq:[\"\\u2271\",{variantForm:!0}],lneq:\"\\u2a87\",gneq:\"\\u2a88\",lneqq:\"\\u2268\",gneqq:\"\\u2269\",lvertneqq:[\"\\u2268\",{variantForm:!0}],gvertneqq:[\"\\u2269\",{variantForm:!0}],lnsim:\"\\u22e6\",gnsim:\"\\u22e7\",lnapprox:\"\\u2a89\",gnapprox:\"\\u2a8a\",nprec:\"\\u2280\",nsucc:\"\\u2281\",npreceq:[\"\\u22e0\",{variantForm:!0}],nsucceq:[\"\\u22e1\",{variantForm:!0}],precneqq:\"\\u2ab5\",succneqq:\"\\u2ab6\",precnsim:\"\\u22e8\",succnsim:\"\\u22e9\",precnapprox:\"\\u2ab9\",succnapprox:\"\\u2aba\",nsim:\"\\u2241\",ncong:\"\\u2247\",nshortmid:[\"\\u2224\",{variantForm:!0}],nshortparallel:[\"\\u2226\",{variantForm:!0}],nmid:\"\\u2224\",nparallel:\"\\u2226\",nvdash:\"\\u22ac\",nvDash:\"\\u22ad\",nVdash:\"\\u22ae\",nVDash:\"\\u22af\",ntriangleleft:\"\\u22ea\",ntriangleright:\"\\u22eb\",ntrianglelefteq:\"\\u22ec\",ntrianglerighteq:\"\\u22ed\",nsubseteq:\"\\u2288\",nsupseteq:\"\\u2289\",nsubseteqq:[\"\\u2288\",{variantForm:!0}],nsupseteqq:[\"\\u2289\",{variantForm:!0}],subsetneq:\"\\u228a\",supsetneq:\"\\u228b\",varsubsetneq:[\"\\u228a\",{variantForm:!0}],varsupsetneq:[\"\\u228b\",{variantForm:!0}],subsetneqq:\"\\u2acb\",supsetneqq:\"\\u2acc\",varsubsetneqq:[\"\\u2acb\",{variantForm:!0}],varsupsetneqq:[\"\\u2acc\",{variantForm:!0}],leftleftarrows:\"\\u21c7\",rightrightarrows:\"\\u21c9\",leftrightarrows:\"\\u21c6\",rightleftarrows:\"\\u21c4\",Lleftarrow:\"\\u21da\",Rrightarrow:\"\\u21db\",twoheadleftarrow:\"\\u219e\",twoheadrightarrow:\"\\u21a0\",leftarrowtail:\"\\u21a2\",rightarrowtail:\"\\u21a3\",looparrowleft:\"\\u21ab\",looparrowright:\"\\u21ac\",leftrightharpoons:\"\\u21cb\",rightleftharpoons:[\"\\u21cc\",{variantForm:!0}],curvearrowleft:\"\\u21b6\",curvearrowright:\"\\u21b7\",circlearrowleft:\"\\u21ba\",circlearrowright:\"\\u21bb\",Lsh:\"\\u21b0\",Rsh:\"\\u21b1\",upuparrows:\"\\u21c8\",downdownarrows:\"\\u21ca\",upharpoonleft:\"\\u21bf\",upharpoonright:\"\\u21be\",downharpoonleft:\"\\u21c3\",restriction:\"\\u21be\",multimap:\"\\u22b8\",downharpoonright:\"\\u21c2\",leftrightsquigarrow:\"\\u21ad\",rightsquigarrow:\"\\u21dd\",leadsto:\"\\u21dd\",dashrightarrow:\"\\u21e2\",dashleftarrow:\"\\u21e0\",nleftarrow:\"\\u219a\",nrightarrow:\"\\u219b\",nLeftarrow:\"\\u21cd\",nRightarrow:\"\\u21cf\",nleftrightarrow:\"\\u21ae\",nLeftrightarrow:\"\\u21ce\"}),new i.DelimiterMap(\"AMSsymbols-delimiter\",s.default.delimiter,{\"\\\\ulcorner\":\"\\u231c\",\"\\\\urcorner\":\"\\u231d\",\"\\\\llcorner\":\"\\u231e\",\"\\\\lrcorner\":\"\\u231f\"}),new i.CommandMap(\"AMSsymbols-macros\",{implies:[\"Macro\",\"\\\\;\\\\Longrightarrow\\\\;\"],impliedby:[\"Macro\",\"\\\\;\\\\Longleftarrow\\\\;\"]},l.AmsMethods)},\n      741: function _(a,e,o,r,c){r();var n=a(551);a(742),o.AmsCdConfiguration=n.Configuration.create(\"amscd\",{handler:{character:[\"amscd_special\"],macro:[\"amscd_macros\"],environment:[\"amscd_environment\"]},options:{amscd:{colspace:\"5pt\",rowspace:\"5pt\",harrowsize:\"2.75em\",varrowsize:\"1.75em\",hideHorizontalLabels:!1}}})},\n      742: function _(a,n,r,e,i){e();var m=a(554),o=a(561),t=a(743);new m.EnvironmentMap(\"amscd_environment\",o.default.environment,{CD:\"CD\"},t.default),new m.CommandMap(\"amscd_macros\",{minCDarrowwidth:\"minCDarrowwidth\",minCDarrowheight:\"minCDarrowheight\"},t.default),new m.MacroMap(\"amscd_special\",{\"@\":\"arrow\"},t.default)},\n      743: function _(e,t,a,r,n){r();var i=e(539),o=e(553),c=e(533),s=e(536),l={CD:function(e,t){e.Push(t);var a=e.itemFactory.create(\"array\"),r=e.configuration.options.amscd;return a.setProperties({minw:e.stack.env.CD_minw||r.harrowsize,minh:e.stack.env.CD_minh||r.varrowsize}),a.arraydef={columnalign:\"center\",columnspacing:r.colspace,rowspacing:r.rowspace,displaystyle:!0},a},arrow:function(e,t){var a=e.string.charAt(e.i);if(!a.match(/[><VA.|=]/))return o.Other(e,t);e.i++;var r=e.stack.Top();r.isKind(\"array\")&&!r.Size()||(l.cell(e,t),r=e.stack.Top());for(var n,d=r,m=d.table.length%2==1,p=(d.row.length+(m?0:1))%2;p;)l.cell(e,t),p--;var f={minsize:d.getProperty(\"minw\"),stretchy:!0},h={minsize:d.getProperty(\"minh\"),stretchy:!0,symmetric:!0,lspace:0,rspace:0};if(\".\"===a);else if(\"|\"===a)n=e.create(\"token\",\"mo\",h,\"\\u2225\");else if(\"=\"===a)n=e.create(\"token\",\"mo\",f,\"=\");else{var 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function _(t,o,a,e,n){var r=this&&this.__values||function(t){var o=\"function\"==typeof Symbol&&Symbol.iterator,a=o&&t[o],e=0;if(a)return a.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&e>=t.length&&(t=void 0),{value:t&&t[e++],done:!t}}};throw new TypeError(o?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};e();var l=t(551),i=t(536),s=t(558),d=t(554),b=t(549),f={};function u(t,o,a,e){var n=b.NodeFactory.createToken(t,o,a,e);return\"mtext\"!==o&&t.configuration.parser.stack.env.boldsymbol&&(i.default.setProperty(n,\"fixBold\",!0),t.configuration.addNode(\"fixBold\",n)),n}function y(t){var o,a;try{for(var e=r(t.data.getList(\"fixBold\")),n=e.next();!n.done;n=e.next()){var l=n.value;if(i.default.getProperty(l,\"fixBold\")){var 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n={fence:!0,stretchy:!1,symmetric:!0,texClass:a.TEXCLASS.OPEN},i=this.create(\"token\",\"mo\",n,r);n.texClass=a.TEXCLASS.CLOSE;var c=this.create(\"token\",\"mo\",n,o);return this.create(\"node\",\"mrow\",[i,e,c],{open:r,close:o,texClass:a.TEXCLASS.INNER})},e}(s.BaseItem);r.BraketItem=p},\n      748: function _(r,e,a,t,l){t();var n=r(554),g=r(749);new n.CommandMap(\"Braket-macros\",{bra:[\"Macro\",\"{\\\\langle {#1} \\\\vert}\",1],ket:[\"Macro\",\"{\\\\vert {#1} \\\\rangle}\",1],braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!1,1/0],set:[\"Braket\",\"{\",\"}\",!1,1],Bra:[\"Macro\",\"{\\\\left\\\\langle {#1} \\\\right\\\\vert}\",1],Ket:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle}\",1],Braket:[\"Braket\",\"\\u27e8\",\"\\u27e9\",!0,1/0],Set:[\"Braket\",\"{\",\"}\",!0,1],ketbra:[\"Macro\",\"{\\\\vert {#1} \\\\rangle\\\\langle {#2} \\\\vert}\",2],Ketbra:[\"Macro\",\"{\\\\left\\\\vert {#1} \\\\right\\\\rangle\\\\left\\\\langle {#2} \\\\right\\\\vert}\",2],\"|\":\"Bar\"},g.default),new 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0===e&&(e=null),t.toString()+(null===e?\"\":String.fromCharCode(96+e))},e}(m.AmsTags);r.CasesTags=d,r.CasesMethods={NumCases:function(t,e){if(t.stack.env.closing===e.getName()){delete t.stack.env.closing,t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName()));var r=t.stack.Top(),n=r.Last,s=l.default.copyNode(n,t),a=r.getProperty(\"left\");return y.EmpheqUtil.left(n,s,a+\"\\\\empheqlbrace\\\\,\",t,\"numcases-left\"),t.Push(t.itemFactory.create(\"end\").setProperty(\"name\",e.getName())),null}a=t.GetArgument(\"\\\\begin{\"+e.getName()+\"}\");e.setProperty(\"left\",a);var o=p.default.EqnArray(t,e,!0,!0,\"ll\");return o.arraydef.displaystyle=!1,o.arraydef.rowspacing=\".2em\",o.setProperty(\"numCases\",!0),t.Push(e),o},Entry:function(t,e){if(!t.stack.Top().getProperty(\"numCases\"))return p.default.Entry(t,e);t.Push(t.itemFactory.create(\"cell\").setProperties({isEntry:!0,name:e}));for(var r=t.string,n=0,s=t.i,a=r.length;s<a;){var o=r.charAt(s);if(\"{\"===o)n++,s++;else if(\"}\"===o){if(0===n)break;n--,s++}else{if(\"&\"===o&&0===n)throw new f.default(\"ExtraCasesAlignTab\",\"Extra alignment tab in text for numcase environment\");if(\"\\\\\"===o&&0===n){var i=(r.slice(s+1).match(/^[a-z]+|./i)||[])[0];if(\"\\\\\"===i||\"cr\"===i||\"end\"===i||\"label\"===i)break;s+=i.length}else s++}}var u=r.substr(t.i,s-t.i).replace(/^\\s*/,\"\");t.PushAll(l.default.internalMath(t,u,0)),t.i=s}},new c.EnvironmentMap(\"cases-env\",y.EmpheqUtil.environment,{numcases:[\"NumCases\",\"cases\"],subnumcases:[\"NumCases\",\"cases\"]},r.CasesMethods),new c.MacroMap(\"cases-macros\",{\"&\":\"Entry\"},r.CasesMethods),r.CasesConfiguration=u.Configuration.create(\"cases\",{handler:{environment:[\"cases-env\"],character:[\"cases-macros\"]},items:(o={},o[g.prototype.kind]=g,o),tags:{cases:d}})},\n      758: function _(e,t,n,r,i){var l=this&&this.__read||function(e,t){var n=\"function\"==typeof Symbol&&e[Symbol.iterator];if(!n)return e;var r,i,l=n.call(e),o=[];try{for(;(void 0===t||t-- 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o=l.value,d=o.childNodes.length-(o.isKind(\"mlabeledtr\")?1:0);d>r&&(r=d)}}catch(e){t={error:e}}finally{try{l&&!l.done&&(n=i.return)&&n.call(i)}finally{if(t)throw t.error}}return r},cellBlock:function(e,t,n,r){var i,l,o=n.create(\"node\",\"mpadded\",[],{height:0,depth:0,voffset:\"-1height\"}),d=new c.default(e,n.stack.env,n.configuration),s=d.mml();r&&d.configuration.tags.label&&(d.configuration.tags.currentTag.env=r,d.configuration.tags.getTag(!0));try{for(var u=a(s.isInferred?s.childNodes:[s]),h=u.next();!h.done;h=u.next()){var f=h.value;o.appendChild(f)}}catch(e){i={error:e}}finally{try{h&&!h.done&&(l=u.return)&&l.call(u)}finally{if(i)throw i.error}}return o.appendChild(n.create(\"node\",\"mphantom\",[n.create(\"node\",\"mpadded\",[t],{width:0})])),o},topRowTable:function(e,t){var n=d.default.copyNode(e,t);return n.setChildren(n.childNodes.slice(0,1)),n.attributes.set(\"align\",\"baseline 1\"),e.factory.create(\"mphantom\",{},[t.create(\"node\",\"mpadded\",[n],{width:0})])},rowspanCell:function(e,t,n,r,i){e.appendChild(r.create(\"node\",\"mpadded\",[this.cellBlock(t,d.default.copyNode(n,r),r,i),this.topRowTable(n,r)],{height:0,depth:0,voffset:\"height\"}))},left:function(e,t,n,r,i){var l,o,d;void 0===i&&(i=\"\"),e.attributes.set(\"columnalign\",\"right \"+(e.attributes.get(\"columnalign\")||\"\")),e.attributes.set(\"columnspacing\",\"0em \"+(e.attributes.get(\"columnspacing\")||\"\"));try{for(var c=a(e.childNodes.slice(0).reverse()),s=c.next();!s.done;s=c.next()){var u=s.value;d=r.create(\"node\",\"mtd\"),u.childNodes.unshift(d),u.replaceChild(d,d),u.isKind(\"mlabeledtr\")&&(u.childNodes[0]=u.childNodes[1],u.childNodes[1]=d)}}catch(e){l={error:e}}finally{try{s&&!s.done&&(o=c.return)&&o.call(c)}finally{if(l)throw l.error}}this.rowspanCell(d,n,t,r,i)},right:function(e,t,r,i,l){void 0===l&&(l=\"\"),0===e.childNodes.length&&e.appendChild(i.create(\"node\",\"mtr\"));for(var o=n.EmpheqUtil.columnCount(e),a=e.childNodes[0];a.childNodes.length<o;)a.appendChild(i.create(\"node\",\"mtd\"));var d=a.appendChild(i.create(\"node\",\"mtd\"));n.EmpheqUtil.rowspanCell(d,r,t,i,l),e.attributes.set(\"columnalign\",(e.attributes.get(\"columnalign\")||\"\").split(/ /).slice(0,o).join(\" \")+\" left\"),e.attributes.set(\"columnspacing\",(e.attributes.get(\"columnspacing\")||\"\").split(/ /).slice(0,o-1).join(\" \")+\" 0em\")},adjustTable:function(e,t){var n=e.getProperty(\"left\"),r=e.getProperty(\"right\");if(n||r){var i=e.Last,l=d.default.copyNode(i,t);n&&this.left(i,l,n,t),r&&this.right(i,l,r,t)}},allowEnv:{equation:!0,align:!0,gather:!0,flalign:!0,alignat:!0,multline:!0},checkEnv:function(e){return this.allowEnv.hasOwnProperty(e.replace(/\\*$/,\"\"))||!1}}},\n      759: function _(e,t,r,n,a){var o=this&&this.__values||function(e){var t=\"function\"==typeof Symbol&&Symbol.iterator,r=t&&e[t],n=0;if(r)return r.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&n>=e.length&&(e=void 0),{value:e&&e[n++],done:!e}}};throw new TypeError(t?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};n();var i=e(551),c=e(539),d=e(536),l=e(554),u=e(559);function f(e){var t,r,n=e.data;try{for(var a=o(n.getList(\"centerOver\")),i=a.next();!i.done;i=a.next()){var c=i.value,l=d.default.getTexClass(c.childNodes[0].childNodes[0]);null!==l&&d.default.setProperties(c.parent.parent.parent.parent.parent.parent,{texClass:l})}}catch(e){t={error:e}}finally{try{i&&!i.done&&(r=a.return)&&r.call(a)}finally{if(t)throw t.error}}}new l.CommandMap(\"centernot\",{centerOver:\"CenterOver\",centernot:[\"Macro\",\"\\\\centerOver{#1}{{\\u29f8}}\",1]},{CenterOver:function(e,t){var r=\"{\"+e.GetArgument(t)+\"}\",n=e.ParseArg(t),a=new c.default(r,e.stack.env,e.configuration).mml(),o=e.create(\"node\",\"TeXAtom\",[new c.default(r,e.stack.env,e.configuration).mml(),e.create(\"node\",\"mpadded\",[e.create(\"node\",\"mpadded\",[n],{width:0,lspace:\"-.5width\"}),e.create(\"node\",\"mphantom\",[a])],{width:0,lspace:\"-.5width\"})]);e.configuration.addNode(\"centerOver\",a),e.Push(o)},Macro:u.default.Macro}),r.filterCenterOver=f,r.CenternotConfiguration=i.Configuration.create(\"centernot\",{handler:{macro:[\"centernot\"]},postprocessors:[f]})},\n      760: function _(o,r,l,e,n){e();var c=o(554),a=o(551),t=o(761),i=o(762);new c.CommandMap(\"color\",{color:\"Color\",textcolor:\"TextColor\",definecolor:\"DefineColor\",colorbox:\"ColorBox\",fcolorbox:\"FColorBox\"},t.ColorMethods);l.ColorConfiguration=a.Configuration.create(\"color\",{handler:{macro:[\"color\"]},options:{color:{padding:\"5px\",borderWidth:\"2px\"}},config:function(o,r){r.parseOptions.packageData.set(\"color\",{model:new i.ColorModel})}})},\n      761: function _(e,o,t,r,a){r();var n=e(536),l=e(540);function c(e){var o=\"+\"+e,t=e.replace(/^.*?([a-z]*)$/,\"$1\");return{width:\"+\"+2*parseFloat(o)+t,height:o,depth:o,lspace:e}}t.ColorMethods={},t.ColorMethods.Color=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.itemFactory.create(\"style\").setProperties({styles:{mathcolor:a}});e.stack.env.color=a,e.Push(n)},t.ColorMethods.TextColor=function(e,o){var t=e.GetBrackets(o,\"\"),r=e.GetArgument(o),a=e.configuration.packageData.get(\"color\").model.getColor(t,r),n=e.stack.env.color;e.stack.env.color=a;var l=e.ParseArg(o);n?e.stack.env.color=n:delete e.stack.env.color;var c=e.create(\"node\",\"mstyle\",[l],{mathcolor:a});e.Push(c)},t.ColorMethods.DefineColor=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=e.GetArgument(o);e.configuration.packageData.get(\"color\").model.defineColor(r,t,a)},t.ColorMethods.ColorBox=function(e,o){var t=e.GetArgument(o),r=l.default.internalMath(e,e.GetArgument(o)),a=e.configuration.packageData.get(\"color\").model,d=e.create(\"node\",\"mpadded\",r,{mathbackground:a.getColor(\"named\",t)});n.default.setProperties(d,c(e.options.color.padding)),e.Push(d)},t.ColorMethods.FColorBox=function(e,o){var t=e.GetArgument(o),r=e.GetArgument(o),a=l.default.internalMath(e,e.GetArgument(o)),d=e.options.color,g=e.configuration.packageData.get(\"color\").model,s=e.create(\"node\",\"mpadded\",a,{mathbackground:g.getColor(\"named\",r),style:\"border: \"+d.borderWidth+\" solid \"+g.getColor(\"named\",t)});n.default.setProperties(s,c(d.padding)),e.Push(s)}},\n      762: function _(e,r,t,o,n){var l=this&&this.__values||function(e){var r=\"function\"==typeof Symbol&&Symbol.iterator,t=r&&e[r],o=0;if(t)return t.call(e);if(e&&\"number\"==typeof e.length)return{next:function(){return e&&o>=e.length&&(e=void 0),{value:e&&e[o++],done:!e}}};throw new TypeError(r?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")};o();var a=e(541),i=e(763),u=new Map,d=function(){function e(){this.userColors=new Map}return e.prototype.normalizeColor=function(e,r){if(!e||\"named\"===e)return r;if(u.has(e))return u.get(e)(r);throw new a.default(\"UndefinedColorModel\",\"Color model '%1' not defined\",e)},e.prototype.getColor=function(e,r){return e&&\"named\"!==e?this.normalizeColor(e,r):this.getColorByName(r)},e.prototype.getColorByName=function(e){return this.userColors.has(e)?this.userColors.get(e):i.COLORS.has(e)?i.COLORS.get(e):e},e.prototype.defineColor=function(e,r,t){var o=this.normalizeColor(e,t);this.userColors.set(r,o)},e}();t.ColorModel=d,u.set(\"rgb\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"rgb\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^(\\d+(\\.\\d*)?|\\.\\d+)$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var f=parseFloat(d);if(f<0||f>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"rgb\",\"0\",\"1\");var s=Math.floor(255*f).toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"RGB\",(function(e){var r,t,o=e.trim().split(/\\s*,\\s*/),n=\"#\";if(3!==o.length)throw new a.default(\"ModelArg1\",\"Color values for the %1 model require 3 numbers\",\"RGB\");try{for(var i=l(o),u=i.next();!u.done;u=i.next()){var d=u.value;if(!d.match(/^\\d+$/))throw new a.default(\"InvalidNumber\",\"Invalid number\");var f=parseInt(d);if(f>255)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"RGB\",\"0\",\"255\");var s=f.toString(16);s.length<2&&(s=\"0\"+s),n+=s}}catch(e){r={error:e}}finally{try{u&&!u.done&&(t=i.return)&&t.call(i)}finally{if(r)throw r.error}}return n})),u.set(\"gray\",(function(e){if(!e.match(/^\\s*(\\d+(\\.\\d*)?|\\.\\d+)\\s*$/))throw new a.default(\"InvalidDecimalNumber\",\"Invalid decimal number\");var r=parseFloat(e);if(r<0||r>1)throw new a.default(\"ModelArg2\",\"Color values for the %1 model must be between %2 and %3\",\"gray\",\"0\",\"1\");var t=Math.floor(255*r).toString(16);return t.length<2&&(t=\"0\"+t),\"#\"+t+t+t}))},\n      763: function _(e,n,r,l,B){l(),r.COLORS=new Map([[\"Apricot\",\"#FBB982\"],[\"Aquamarine\",\"#00B5BE\"],[\"Bittersweet\",\"#C04F17\"],[\"Black\",\"#221E1F\"],[\"Blue\",\"#2D2F92\"],[\"BlueGreen\",\"#00B3B8\"],[\"BlueViolet\",\"#473992\"],[\"BrickRed\",\"#B6321C\"],[\"Brown\",\"#792500\"],[\"BurntOrange\",\"#F7921D\"],[\"CadetBlue\",\"#74729A\"],[\"CarnationPink\",\"#F282B4\"],[\"Cerulean\",\"#00A2E3\"],[\"CornflowerBlue\",\"#41B0E4\"],[\"Cyan\",\"#00AEEF\"],[\"Dandelion\",\"#FDBC42\"],[\"DarkOrchid\",\"#A4538A\"],[\"Emerald\",\"#00A99D\"],[\"ForestGreen\",\"#009B55\"],[\"Fuchsia\",\"#8C368C\"],[\"Goldenrod\",\"#FFDF42\"],[\"Gray\",\"#949698\"],[\"Green\",\"#00A64F\"],[\"GreenYellow\",\"#DFE674\"],[\"JungleGreen\",\"#00A99A\"],[\"Lavender\",\"#F49EC4\"],[\"LimeGreen\",\"#8DC73E\"],[\"Magenta\",\"#EC008C\"],[\"Mahogany\",\"#A9341F\"],[\"Maroon\",\"#AF3235\"],[\"Melon\",\"#F89E7B\"],[\"MidnightBlue\",\"#006795\"],[\"Mulberry\",\"#A93C93\"],[\"NavyBlue\",\"#006EB8\"],[\"OliveGreen\",\"#3C8031\"],[\"Orange\",\"#F58137\"],[\"OrangeRed\",\"#ED135A\"],[\"Orchid\",\"#AF72B0\"],[\"Peach\",\"#F7965A\"],[\"Periwinkle\",\"#7977B8\"],[\"PineGreen\",\"#008B72\"],[\"Plum\",\"#92268F\"],[\"ProcessBlue\",\"#00B0F0\"],[\"Purple\",\"#99479B\"],[\"RawSienna\",\"#974006\"],[\"Red\",\"#ED1B23\"],[\"RedOrange\",\"#F26035\"],[\"RedViolet\",\"#A1246B\"],[\"Rhodamine\",\"#EF559F\"],[\"RoyalBlue\",\"#0071BC\"],[\"RoyalPurple\",\"#613F99\"],[\"RubineRed\",\"#ED017D\"],[\"Salmon\",\"#F69289\"],[\"SeaGreen\",\"#3FBC9D\"],[\"Sepia\",\"#671800\"],[\"SkyBlue\",\"#46C5DD\"],[\"SpringGreen\",\"#C6DC67\"],[\"Tan\",\"#DA9D76\"],[\"TealBlue\",\"#00AEB3\"],[\"Thistle\",\"#D883B7\"],[\"Turquoise\",\"#00B4CE\"],[\"Violet\",\"#58429B\"],[\"VioletRed\",\"#EF58A0\"],[\"White\",\"#FFFFFF\"],[\"WildStrawberry\",\"#EE2967\"],[\"Yellow\",\"#FFF200\"],[\"YellowGreen\",\"#98CC70\"],[\"YellowOrange\",\"#FAA21A\"]])},\n      764: function _(o,r,e,a,c){a();var l=o(554),n=o(551);e.ColorV2Methods={Color:function(o,r){var e=o.GetArgument(r),a=o.stack.env.color;o.stack.env.color=e;var c=o.ParseArg(r);a?o.stack.env.color=a:delete o.stack.env.color;var l=o.create(\"node\",\"mstyle\",[c],{mathcolor:e});o.Push(l)}},new l.CommandMap(\"colorv2\",{color:\"Color\"},e.ColorV2Methods),e.ColorConfiguration=n.Configuration.create(\"colorv2\",{handler:{macro:[\"colorv2\"]}})},\n      765: function _(o,t,r,e,n){var l,c=this&&this.__extends||(l=function(o,t){return l=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(o,t){o.__proto__=t}||function(o,t){for(var r in t)Object.prototype.hasOwnProperty.call(t,r)&&(o[r]=t[r])},l(o,t)},function(o,t){if(\"function\"!=typeof t&&null!==t)throw new TypeError(\"Class extends value \"+String(t)+\" is not a constructor or null\");function r(){this.constructor=o}l(o,t),o.prototype=null===t?Object.create(t):(r.prototype=t.prototype,new r)});e();var a=o(556),i=o(551),s=o(554),u=o(541),p=function(o){function t(){var t=null!==o&&o.apply(this,arguments)||this;return t.color={cell:\"\",row:\"\",col:[]},t.hasColor=!1,t}return c(t,o),t.prototype.EndEntry=function(){o.prototype.EndEntry.call(this);var t=this.row[this.row.length-1],r=this.color.cell||this.color.row||this.color.col[this.row.length-1];r&&(t.attributes.set(\"mathbackground\",r),this.color.cell=\"\",this.hasColor=!0)},t.prototype.EndRow=function(){o.prototype.EndRow.call(this),this.color.row=\"\"},t.prototype.createMml=function(){var t=o.prototype.createMml.call(this),r=t.isKind(\"mrow\")?t.childNodes[1]:t;return r.isKind(\"menclose\")&&(r=r.childNodes[0].childNodes[0]),this.hasColor&&\"none\"===r.attributes.get(\"frame\")&&r.attributes.set(\"frame\",\"\"),t},t}(a.ArrayItem);r.ColorArrayItem=p,new s.CommandMap(\"colortbl\",{cellcolor:[\"TableColor\",\"cell\"],rowcolor:[\"TableColor\",\"row\"],columncolor:[\"TableColor\",\"col\"]},{TableColor:function(o,t,r){var 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function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n      /* BEGIN panel.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\"], undefined);\n      })(this, function(Bokeh, version) {\n        let define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? 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You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      \"4e90918c0a\": function _(e,s,t,o,i){o();const n=(0,e(\"tslib\").__importStar)(e(\"eed113197d\"));t.Panel=n;(0,e(\"@bokehjs/base\").register_models)(n)},\n      \"eed113197d\": function _(e,a,t,o,c){o();const d=e(\"tslib\");c(\"AcePlot\",e(\"2e12ebdb23\").AcePlot),c(\"Audio\",e(\"33955cfa6f\").Audio),c(\"Card\",e(\"0972f6e77b\").Card),c(\"CommManager\",e(\"f34032fb47\").CommManager),c(\"CustomSelect\",e(\"e258e515be\").CustomSelect),c(\"DataTabulator\",e(\"6e8a14b34f\").DataTabulator),c(\"DatetimePicker\",e(\"6e11b2cfe2\").DatetimePicker),c(\"DeckGLPlot\",e(\"0155f7af4d\").DeckGLPlot),c(\"ECharts\",e(\"9d046c4720\").ECharts),c(\"HTML\",e(\"c424a3bd17\").HTML),c(\"IDOM\",e(\"7d45bd3bc4\").IDOM),c(\"IPyWidget\",e(\"0eae77d68f\").IPyWidget),c(\"JSON\",e(\"0d30bea0c8\").JSON),c(\"JSONEditor\",e(\"be9f51fc39\").JSONEditor),c(\"FileDownload\",e(\"1767172ffa\").FileDownload),c(\"KaTeX\",e(\"7b859fb3cf\").KaTeX),c(\"Location\",e(\"0c52a301f3\").Location),c(\"MathJax\",e(\"0c21036737\").MathJax),c(\"Perspective\",e(\"4ae96bd77b\").Perspective),c(\"Player\",e(\"27b8bb6d20\").Player),c(\"PlotlyPlot\",e(\"42de27e56c\").PlotlyPlot),c(\"Progress\",e(\"979633320f\").Progress),c(\"QuillInput\",e(\"d51a79a0a3\").QuillInput),c(\"ReactiveHTML\",e(\"5fad190ca1\").ReactiveHTML),c(\"SingleSelect\",e(\"ab54efe08a\").SingleSelect),c(\"SpeechToText\",e(\"a96be0bcc9\").SpeechToText),c(\"State\",e(\"bfa46a5f19\").State),c(\"Tabs\",e(\"f693d9aa84\").Tabs),c(\"Terminal\",e(\"3ea011fa55\").Terminal),c(\"TextToSpeech\",e(\"33cd2c254e\").TextToSpeech),c(\"TrendIndicator\",e(\"effe070807\").TrendIndicator),c(\"VegaPlot\",e(\"fea356270f\").VegaPlot),c(\"Video\",e(\"1b46fd56a8\").Video),c(\"VideoStream\",e(\"e3e9b8e495\").VideoStream),(0,d.__exportStar)(e(\"c51f25e2a7\"),t)},\n 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e=this._modelist.getModeForPath(this.model.filename).mode;this.model.language=e.slice(9)}}_update_language(){null!=this.model.language&&this._editor.session.setMode(`ace/mode/${this.model.language}`)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}i.AcePlotView=h,h.__name__=\"AcePlotView\";class _ extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Boolean:i,String:o})=>({code:[o,\"\"],filename:[o],language:[o],theme:[o,\"chrome\"],annotations:[t(e),[]],readonly:[i,!1],print_margin:[i,!1]}))),this.override({height:300,width:300})}}i.AcePlot=_,_.__name__=\"AcePlot\",_.__module__=\"panel.models.ace\",_.init_AcePlot()},\n      \"4c755983eb\": function _(e,i,t,s,h){s();const n=e(\"@bokehjs/core/layout/html\"),_=e(\"@bokehjs/core/layout/types\"),a=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/markup\"),o=e(\"@bokehjs/models/layouts/html_box\");function d(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),null!=i.min_width&&(e.style.minWidth=i.min_width+\"px\"),null!=i.max_width&&(e.style.maxWidth=i.max_width+\"px\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\"),null!=i.min_height&&(e.style.minHeight=i.min_height+\"px\"),null!=i.max_width&&(e.style.maxHeight=i.max_height+\"px\")}t.set_size=d;class m extends n.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),h=this._cache_count.get(i);if(null!=s&&null!=h&&h>=t)return this._cache_count.set(i,h+1),s;const n=new _.Sizeable(e).bounded_to(this.sizing.size),l=(0,a.sized)(this.el,n,(()=>{const e=new _.Sizeable((0,a.content_size)(this.el)),{border:i,padding:t}=(0,a.extents)(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)}));return this._cache.set(i,l),this._cache_count.set(i,0),l}invalidate_cache(){}}t.CachedVariadicBox=m,m.__name__=\"CachedVariadicBox\";class c extends l.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new m(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.markup_el,this.model)}}t.PanelMarkupView=c,c.__name__=\"PanelMarkupView\";class r extends o.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new m(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),d(this.el,this.model)}}t.PanelHTMLBoxView=r,r.__name__=\"PanelHTMLBoxView\"},\n      \"33955cfa6f\": function _(e,t,i,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"4c755983eb\");class u extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume())),this.connect(this.model.properties.muted.change,(()=>this.set_muted())),this.connect(this.model.properties.autoplay.change,(()=>this.set_autoplay()))}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,this.audioEl.muted=this.model.muted,this.audioEl.autoplay=this.model.autoplay,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_muted(){this.audioEl.muted=this.model.muted}set_autoplay(){this.audioEl.autoplay=this.model.autoplay}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=u,u.__name__=\"AudioView\";class a extends l.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=u,this.define((({Any:e,Boolean:t,Int:i,Number:o})=>({loop:[t,!1],paused:[t,!0],muted:[t,!1],autoplay:[t,!1],time:[o,0],throttle:[o,250],value:[e,\"\"],volume:[i]})))}}i.Audio=a,a.__name__=\"Audio\",a.__module__=\"panel.models.widgets\",a.init_Audio()},\n      \"0972f6e77b\": function _(e,l,s,t,o){t();const i=e(\"tslib\"),a=e(\"@bokehjs/models/layouts/column\"),d=e(\"@bokehjs/core/util/bbox\"),c=(0,i.__importStar)(e(\"@bokehjs/core/dom\")),n=e(\"@bokehjs/core/dom\"),h=e(\"@bokehjs/core/layout/grid\"),r=e(\"@bokehjs/core/util/color\");class _ extends a.ColumnView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.collapsed.change,(()=>this._collapse()));const{active_header_background:e,header_background:l,header_color:s,hide_header:t}=this.model.properties;this.on_change([e,l,s,t],(()=>this.render()))}_update_layout(){let e;e=this.model.hide_header?this.child_views.slice(1):this.model.collapsed?this.child_views.slice(0,1):this.child_views;const l=e.map((e=>e.layout));this.layout=new h.Column(l),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}update_position(){if(this.model.collapsible&&!this.model.hide_header){const e=this.child_views[0],l=e.layout.bbox,s=e.layout.inner_bbox;if(0!=l.x1){let t;if(this.model.collapsible){const e=getComputedStyle(this.button_el.children[0]);t=parseFloat(e.width)+parseFloat(e.marginLeft)||0}else t=0;const o=new d.BBox({x0:l.x0,x1:l.x1-t,y0:l.y0,y1:l.y1}),i=new d.BBox({x0:s.x0,x1:s.x1-t,y0:s.y0,y1:s.y1});e.layout.set_geometry(o,i)}}super.update_position()}render(){(0,n.empty)(this.el);const{background:e,button_css_classes:l,header_color:s,header_tag:t,header_css_classes:o}=this.model;this.el.style.backgroundColor=null!=e?(0,r.color2css)(e):\"\",(0,n.classes)(this.el).clear().add(...this.css_classes());let i=this.model.header_background;!this.model.collapsed&&this.model.active_header_background&&(i=this.model.active_header_background);const a=this.child_views[0];let d;if(this.model.collapsible){this.button_el=c.createElement(\"button\",{type:\"button\",class:o});const e=c.createElement(\"div\",{class:l});e.innerHTML=this.model.collapsed?\"\\u25ba\":\"\\u25bc\",this.button_el.appendChild(e),this.button_el.style.backgroundColor=null!=i?i:\"\",a.el.style.backgroundColor=null!=i?i:\"\",this.button_el.appendChild(a.el),this.button_el.onclick=()=>this._toggle_button(),d=this.button_el}else d=c.createElement(t,{class:o}),d.style.backgroundColor=null!=i?i:\"\",d.appendChild(a.el);this.model.hide_header||(d.style.color=null!=s?s:\"\",this.el.appendChild(d),a.render());for(const e of this.child_views.slice(1))this.model.collapsed||this.el.appendChild(e.el),e.render()}_toggle_button(){this.model.collapsed=!this.model.collapsed}_collapse(){this.invalidate_render()}_createElement(){return c.createElement(this.model.tag,{class:this.css_classes()})}}s.CardView=_,_.__name__=\"CardView\";class u extends a.Column{constructor(e){super(e)}static init_Card(){this.prototype.default_view=_,this.define((({Array:e,Boolean:l,Nullable:s,String:t})=>({active_header_background:[s(t),null],button_css_classes:[e(t),[]],collapsed:[l,!0],collapsible:[l,!0],header_background:[s(t),null],header_color:[s(t),null],header_css_classes:[e(t),[]],header_tag:[t,\"div\"],hide_header:[l,!1],tag:[t,\"div\"]})))}}s.Card=u,u.__name__=\"Card\",u.__module__=\"panel.models.layout\",u.init_Card()},\n      \"f34032fb47\": function _(e,t,n,o,i){o();const s=e(\"@bokehjs/document\"),c=e(\"@bokehjs/core/view\"),_=e(\"@bokehjs/model\"),l=e(\"@bokehjs/protocol/message\"),a=e(\"@bokehjs/protocol/receiver\");n.comm_settings={debounce:!0};class h extends c.View{renderTo(){}}n.CommManagerView=h,h.__name__=\"CommManagerView\";class m extends _.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new a.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,(e=>this.msg_handler(e))),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,(e=>this.on_ack(e)))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof s.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.push(e),n.comm_settings.debounce?(!this._blocked||Date.now()>this._timeout)&&(setTimeout((()=>this.process_events()),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout):this.process_events()))}process_events(){if(null==this.document||null==this._client_comm)return;const e=this.document.create_json_patch(this._event_buffer);this._event_buffer=[];const t=l.Message.create(\"PATCH-DOC\",{},e);this._client_comm.send(t)}on_ack(e){const t=e.metadata;this._event_buffer.length?(this._blocked=!0,this._timeout=Date.now()+this.timeout,this.process_events()):this._blocked=!1,\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=h,this.define((({Int:e,String:t})=>({plot_id:[t],comm_id:[t],client_comm_id:[t],timeout:[e,5e3],debounce:[e,50]})))}}n.CommManager=m,m.__name__=\"CommManager\",m.__module__=\"panel.models.comm_manager\",m.init_CommManager()},\n      \"e258e515be\": function _(e,t,s,o,i){var l;o();const d=e(\"@bokehjs/models/widgets/selectbox\");class n extends d.SelectView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled_options.change,(()=>this._update_disabled_options()))}options_el(){let e=super.options_el();return e.forEach((e=>{this.model.disabled_options.includes(e.value)&&e.setAttribute(\"disabled\",\"true\")})),e}_update_disabled_options(){for(const e of this.input_el.options)this.model.disabled_options.includes(e.value)?e.setAttribute(\"disabled\",\"true\"):e.removeAttribute(\"disabled\")}}s.CustomSelectView=n,n.__name__=\"CustomSelectView\";class _ extends d.Select{constructor(e){super(e)}}s.CustomSelect=_,l=_,_.__name__=\"CustomSelect\",_.__module__=\"panel.models.widgets\",l.prototype.default_view=n,l.define((({Array:e,String:t})=>({disabled_options:[e(t),[]]})))},\n      \"6e8a14b34f\": function _(t,e,i,o,s){o();const l=t(\"@bokehjs/core/dom\"),n=t(\"@bokehjs/core/util/types\"),a=t(\"@bokehjs/models/layouts/html_box\"),r=t(\"@bokehjs/core/build_views\"),d=t(\"@bokehjs/core/bokeh_events\"),c=t(\"@bokehjs/core/dom\"),h=t(\"@bokehjs/core/kinds\"),u=t(\"@bokehjs/models/sources/column_data_source\"),m=t(\"@bokehjs/models/widgets/tables\"),_=t(\"99a25e6992\"),f=t(\"f34032fb47\"),g=t(\"7f7d9e0c6b\"),p=t(\"4c755983eb\");class b extends d.ModelEvent{constructor(t,e){super(),this.column=t,this.row=e,this.event_name=\"table-edit\"}_to_json(){return{model:this.origin,column:this.column,row:this.row}}}i.TableEditEvent=b,b.__name__=\"TableEditEvent\";class y extends d.ModelEvent{constructor(t,e){super(),this.column=t,this.row=e,this.event_name=\"cell-click\"}_to_json(){return{model:this.origin,column:this.column,row:this.row}}}function w(t,e,i){for(const o of i)if(o[t]==e)return o;return null}function x(t,e,i,o=0){const s={};if(0==t.length)return s;const l=i[o];for(const a of t){const t=x(a._children,e,i,o+1);for(const e in t)(0,n.isArray)(t[e])?a[e]=t[e].reduce(((t,e)=>t+e),0)/t[e].length:a[e]=t[e];for(const t of e.slice(1)){const e=a[t.field];if(t.field in s){const i=s[t.field];\"min\"===l?s[t.field]=Math.min(e,i):\"max\"===l?s[t.field]=Math.max(e,i):\"sum\"===l?s[t.field]=e+i:\"mean\"===l&&((0,n.isArray)(s[t.field])?s[t.field].push(e):s[t.field]=[i,e])}else s[t.field]=e}}return s}function v(t,e,i,o){const s=[],l=e[0].field;for(const o of t){const t=o[i[0]];let n=w(l,t,s);null==n&&(n={_children:[]},n[l]=t,s.push(n));let a=n;const r={};for(const t of i.slice(1)){a=w(l,o[t],a._children),null==a&&(a={_children:[]},a[l]=o[t],n._children.push(a)),r[t]=n;for(const t of e.slice(1))a[t.field]=o[t];n=a}for(const t of e.slice(1))a[t.field]=o[t.field]}const n=[];for(const t of i)n.push(t in o?o[t]:\"sum\");return x(s,e,n),s}i.CellClickEvent=y,y.__name__=\"CellClickEvent\";const T=function(t,e,i,o){const s=t.getValue(),l={zone:new window.luxon.IANAZone(\"UTC\")};let n;n=\"NaN\"===s||null===s?null:window.luxon.DateTime.fromMillis(s,l).toFormat(\"yyyy-MM-dd\");const a=document.createElement(\"input\");function r(){const t=window.luxon.DateTime.fromFormat(a.value,\"yyyy-MM-dd\",l).toMillis();t!=n?i(t):o()}return a.setAttribute(\"type\",\"date\"),a.style.padding=\"4px\",a.style.width=\"100%\",a.style.boxSizing=\"border-box\",a.value=n,e((()=>{a.focus(),a.style.height=\"100%\"})),a.addEventListener(\"blur\",r),a.addEventListener(\"keydown\",(function(t){13==t.keyCode&&r(),27==t.keyCode&&o()})),a},S=function(t,e,i,o){const s=t.getValue(),l={zone:new window.luxon.IANAZone(\"UTC\")};let n;n=\"NaN\"===s||null===s?null:window.luxon.DateTime.fromMillis(s,l).toFormat(\"yyyy-MM-dd'T'T\");const a=document.createElement(\"input\");function r(){const t=window.luxon.DateTime.fromFormat(a.value,\"yyyy-MM-dd'T'T\",l).toMillis();t!=n?i(t):o()}return a.setAttribute(\"type\",\"datetime-local\"),a.style.padding=\"4px\",a.style.width=\"100%\",a.style.boxSizing=\"border-box\",a.value=n,e((()=>{a.focus(),a.style.height=\"100%\"})),a.addEventListener(\"blur\",r),a.addEventListener(\"keydown\",(function(t){13==t.keyCode&&r(),27==t.keyCode&&o()})),a};class C extends p.PanelHTMLBoxView{constructor(){super(...arguments),this._tabulator_cell_updating=!1,this._updating_page=!0,this._updating_sort=!1,this._relayouting=!1,this._selection_updating=!1,this._lastVerticalScrollbarTopPosition=0,this._applied_styles=!1}connect_signals(){super.connect_signals();const{configuration:t,layout:e,columns:i,theme:o,groupby:s}=this.model.properties;this.on_change([t,e,i,s],(0,_.debounce)((()=>this.invalidate_render()),20,!1)),this.on_change([o],(()=>this.setCSS())),this.connect(this.model.properties.download.change,(()=>{const t=this.model.filename.endsWith(\".json\")?\"json\":\"csv\";this.tabulator.download(t,this.model.filename)})),this.connect(this.model.properties.children.change,(()=>this.renderChildren())),this.connect(this.model.properties.expanded.change,(()=>{for(const t of this.tabulator.rowManager.getRows())t.cells.length>0&&t.cells[0].layoutElement()})),this.connect(this.model.properties.styles.change,(()=>{this._applied_styles&&this.tabulator.redraw(!0),this.setStyles()})),this.connect(this.model.properties.hidden_columns.change,(()=>this.setHidden())),this.connect(this.model.properties.page_size.change,(()=>this.setPageSize())),this.connect(this.model.properties.page.change,(()=>{this._updating_page||this.setPage()})),this.connect(this.model.properties.max_page.change,(()=>this.setMaxPage())),this.connect(this.model.properties.frozen_rows.change,(()=>this.setFrozen())),this.connect(this.model.properties.sorters.change,(()=>this.setSorters())),this.connect(this.model.source.properties.data.change,(()=>this.setData())),this.connect(this.model.source.streaming,(()=>this.addData())),this.connect(this.model.source.patching,(()=>{const t=this.model.source.selected.indices;this.updateOrAddData(),this.tabulator.rowManager.element.scrollTop=this._lastVerticalScrollbarTopPosition,this.model.source.selected.indices=t})),this.connect(this.model.source.selected.change,(()=>this.setSelection())),this.connect(this.model.source.selected.properties.indices.change,(()=>this.setSelection()))}get sorters(){const t=[];this.model.sorters.length&&t.push({column:\"_index\",dir:\"asc\"});for(const e of this.model.sorters.reverse())void 0===e.column&&(e.column=e.field),t.push(e);return t}invalidate_render(){this.tabulator.destroy(),this.tabulator=null,this.render(),this.relayout()}renderComplete(){this._initializing&&(this.setSelection(),this.relayout(),this._initializing=!1,this._lastVerticalScrollbarTopPosition&&(this.tabulator.rowManager.element.scrollTop=this._lastVerticalScrollbarTopPosition))}redraw(){this.tabulator.redraw(!0),this.setStyles()}after_layout(){super.after_layout(),null==this.tabulator||this._relayouting&&!this._initializing||this.redraw()}render(){super.render();if(this.setCSS())return;this._initializing=!0;const t=(0,c.div)({class:\"pnx-tabulator\"});(0,p.set_size)(t,this.model);let e=this.getConfiguration();this.tabulator=new Tabulator(t,e),this.renderChildren(!0),\"remote\"===this.model.pagination&&(this.tabulator.options.pagination=this.model.pagination,this.tabulator.modules.page.mode=\"remote\"),this.setGroupBy(),this.setHidden(),this.model.pagination?(this.setMaxPage(),this.tabulator.setPage(this.model.page),this.setData()):this.setFrozen(),this.el.appendChild(t)}tableInit(t,e){const i=e.modules.ajax;i.sendRequest=()=>t.requestPage(i.params.page,i.params.sorters),e.modules.page._parseRemoteData=()=>{}}relayout(){if(!this._relayouting){if(this._relayouting=!0,this.tabulator.rowManager.adjustTableSize(),this.update_layout(),this.compute_layout(),this.root!==this){this.invalidate_layout();const t=this.root._parent;null!=t&&null!=t.relayout&&t.relayout()}else null!=this._parent&&(null!=this._parent.relayout?this._parent.relayout():this._parent.invalidate_layout());this._relayouting=!1}}requestPage(t,e){return new Promise(((i,o)=>{try{if(null!=t&&null!=e){this._updating_sort=!0;const i=[];for(const t of e)\"_index\"!==t.field&&i.push({field:t.field,dir:t.dir});this.model.sorters=i,this._updating_sort=!1,this._updating_page=!0;try{this.model.page=t||1}finally{this._updating_page=!1}}i([])}catch(t){o(t)}}))}getLayout(){switch(this.model.layout){case\"fit_data\":return\"fitData\";case\"fit_data_fill\":return\"fitDataFill\";case\"fit_data_stretch\":return\"fitDataStretch\";case\"fit_data_table\":return\"fitDataTable\";case\"fit_columns\":return\"fitColumns\"}}getConfiguration(){let t=\"toggle\"===this.model.select_mode||NaN;const e=this;let i=Object.assign(Object.assign({},this.model.configuration),{index:\"_index\",nestedFieldSeparator:!1,movableColumns:!1,selectable:t,columns:this.getColumns(),dataSorting:t=>{const e=[];for(const i of t)\"_index\"!==i.field&&e.push({field:i.field,dir:i.dir});\"remote\"!==this.model.pagination&&(this._updating_sort=!0,this.model.sorters=e,this._updating_sort=!1)},initialSort:this.sorters,layout:this.getLayout(),pagination:this.model.pagination,paginationSize:this.model.page_size,paginationInitialPage:1,tableBuilding:function(){e.tableInit(e,this)},renderComplete:()=>this.renderComplete(),rowSelectionChanged:(t,e)=>this.rowSelectionChanged(t,e),rowClick:(t,e)=>this.rowClicked(t,e),cellEdited:t=>this.cellEdited(t),selectableCheck:t=>{const e=this.model.selectable_rows;return null==e||e.indexOf(t._row.data._index)>=0},tooltips:t=>t.getColumn().getField()+\": \"+t.getValue(),scrollVertical:(0,_.debounce)((()=>{this._lastVerticalScrollbarTopPosition=this.tabulator.rowManager.element.scrollTop,this.setStyles()}),50,!1),rowFormatter:t=>this._render_row(t),dataFiltering:()=>{null!=this.tabulator&&(this.model.filters=this.tabulator.getHeaderFilters())}});\"remote\"===this.model.pagination&&(i.ajaxURL=\"http://panel.pyviz.org\",i.ajaxSorting=!0);const o=this.model.source;let s;return s=null===o||0===o.columns().length?[]:(0,g.transform_cds_to_records)(o,!0),i.dataTree&&(s=v(s,this.model.columns,this.model.indexes,this.model.aggregators)),Object.assign(Object.assign({},i),{data:s})}renderChildren(t=!1){new Promise((async t=>{const e=[];for(const t of this.model.expanded)t in this.model.children&&e.push(this.model.children[t]);await(0,r.build_views)(this._child_views,e,{parent:null}),t(null)})).then((()=>{for(const t of this.model.expanded){const e=this.tabulator.getRow(t);this._render_row(e)}this.model.expanded.length||t||setTimeout((()=>this.relayout()),20)}))}_render_row(t){const e=t._row.data._index;if(this.model.expanded.indexOf(e)<0||!(e in this.model.children))return;const i=this.model.children[e],o=this._child_views.get(i);if(null==o)return;o._parent=this;const s=t.getElement();let l=s.children[s.children.length-1];if(\"bk\"===l.className){if(l.children.length)return}else l=null;if(null==l){const t=getComputedStyle(this.tabulator.element.children[1].children[0]).backgroundColor,e=\"-\"+s.style.paddingLeft;l=(0,c.div)({style:\"background-color: \"+t+\"; margin-left:\"+e})}t.getElement().appendChild(l),o.renderTo(l)}_expand_render(t){const e=t._cell.row.data._index;return\"<i>\"+(this.model.expanded.indexOf(e)<0?\"\\u25ba\":\"\\u25bc\")+\"</i>\"}_update_expand(t){const e=t._cell.row.data._index,i=[...this.model.expanded],o=i.indexOf(e);if(o<0)i.push(e);else{const t=i.splice(o,1)[0];if(t in this.model.children){const e=this.model.children[t],i=this._child_views.get(e);void 0!==i&&null!=i.el&&(0,l.undisplay)(i.el)}}this.model.expanded=i;const s=i.indexOf(e)<0?\"\\u25ba\":\"\\u25bc\";if(t._cell.element.innerText=s,i.indexOf(e)<0)return;let n=!0;for(const t of this.model.expanded)if(!(t in this.model.children)){n=!1;break}n&&this.renderChildren()}getData(){let t=(0,g.transform_cds_to_records)(this.model.source,!0);return this.model.configuration.dataTree&&(t=v(t,this.model.columns,this.model.indexes,this.model.aggregators)),t}getColumns(){var t;const e=null===(t=this.model.configuration)||void 0===t?void 0:t.columns;let i=[];if(i.push({field:\"_index\",frozen:!0}),null!=e)for(const t of e)if(null!=t.columns){const e=[];for(const i of t.columns)e.push(Object.assign({},i));i.push(Object.assign(Object.assign({},t),{columns:e}))}else if(\"expand\"===t.formatter){const t={hozAlign:\"center\",cellClick:(t,e)=>{this._update_expand(e)},formatter:t=>this._expand_render(t),width:40,frozen:!0};i.push(t)}else{const e=Object.assign({},t);\"rowSelection\"===e.formatter&&(e.cellClick=(t,e)=>{e.getRow().toggleSelect()}),i.push(e)}for(const t of this.model.columns){let o=null;if(null!=e)for(const e of i)if(null!=e.columns){for(const i of e.columns)if(t.field===i.field){o=i;break}if(null!=o)break}else if(t.field===e.field){o=e;break}if(null==o&&(o={field:t.field}),null==o.title&&(o.title=t.title),null==o.width&&null!=t.width&&0!=t.width&&(o.width=t.width),null==o.formatter&&null!=t.formatter){const e=t.formatter.type;o.formatter=\"BooleanFormatter\"===e?\"tickCross\":e=>{const i=t.formatter.doFormat(e.getRow(),e,e.getValue(),null,null);if(\"HTMLTemplateFormatter\"===t.formatter.type)return i;const o=(0,c.div)();o.innerHTML=i;const s=o.children[0];return\"function(){return c.convert(arguments)}\"===s.innerHTML?\"\":s}}const s=t.editor,l=s.type;null!=o.editor?\"date\"===o.editor?o.editor=T:\"datetime\"===o.editor&&(o.editor=S):\"StringEditor\"===l?s.completions.length>0?(o.editor=\"autocomplete\",o.editorParams={values:s.completions}):o.editor=\"input\":\"TextEditor\"===l?o.editor=\"textarea\":\"IntEditor\"===l||\"NumberEditor\"===l?(o.editor=\"number\",o.editorParams={step:s.step}):\"CheckboxEditor\"===l?o.editor=\"tickCross\":\"DateEditor\"===l?o.editor=T:\"SelectEditor\"===l?(o.editor=\"select\",o.editorParams={values:s.options}):null!=s&&null!=s.default_view&&(o.editor=(e,i,o,s)=>{this.renderEditor(t,e,i,o,s)}),o.editable=()=>this.model.editable&&null!=s.default_view,o.headerFilter&&\"boolean\"==typeof o.headerFilter&&\"string\"==typeof o.editor&&(o.headerFilter=o.editor,o.headerFilterParams=o.editorParams);for(const t of this.model.sorters)o.field===t.field&&(o.headerSortStartingDir=t.dir);o.cellClick=(e,i)=>{const o=i._cell.row.data._index;this.model.trigger_event(new y(t.field,o))},null==e&&i.push(o)}for(const t in this.model.buttons){const e={formatter:()=>this.model.buttons[t],hozAlign:\"center\",cellClick:(e,i)=>{const o=i._cell.row.data._index;this.model.trigger_event(new y(t,o))}};i.push(e)}return i}renderEditor(t,e,i,o,s){const l=t.editor,n=new l.default_view({column:t,model:l,parent:this,container:e._cell.element});return n.initialize(),n.connect_signals(),i((()=>{n.setValue(e.getValue())})),n.inputEl.addEventListener(\"change\",(()=>{const t=n.serializeValue(),i=e.getValue(),l=n.validate();l.valid||s(l.msg),null!=i&&typeof t!=typeof i?s(\"Mismatching type\"):o(n.serializeValue())})),n.inputEl}setData(){const t=this.getData();null!=this.model.pagination?this.tabulator.rowManager.setData(t,!0,!1):this.tabulator.setData(t),this.postUpdate()}addData(){const t=this.tabulator.rowManager.getRows(),e=t[t.length-1],i=(null==e?void 0:e.data._index)||0;this.setData(),this.postUpdate(),this.model.follow&&e&&this.tabulator.scrollToRow(i,\"top\",!1)}postUpdate(){this.model.pagination||this.setFrozen(),this.setSelection(),null==this.model.height&&null==this.model.pagination&&this.relayout()}updateOrAddData(){if(this._tabulator_cell_updating)return;let t=(0,g.transform_cds_to_records)(this.model.source,!0);this.tabulator.setData(t),this.postUpdate()}setFrozen(){for(const t of this.model.frozen_rows)this.tabulator.getRow(t).freeze()}setGroupBy(){if(0==this.model.groupby.length)return void this.tabulator.setGroupBy(!1);this.tabulator.setGroupBy((t=>{const e=[];for(const i of this.model.groupby){const o=i+\": \"+t[i];e.push(o)}return e.join(\", \")}))}setSorters(){this._updating_sort||this.tabulator.setSort(this.sorters)}setCSS(){let t;t=\"default\"==this.model.theme?\"tabulator\":\"tabulator_\"+this.model.theme;const e=this.model.theme_url+t+\".min.css\";let i=null;const o=document.getElementsByTagName(\"link\"),s=this.model.theme_url.indexOf(\"dist/\"),l=this.model.theme_url.slice(0,s);for(const t of o)if(t.href.indexOf(l)>=0){i=t;break}if(null!=i)return!i.href.endsWith(e)&&(i.href=e,setTimeout((()=>this.render()),100),!0);let n=document.getElementsByTagName(\"head\")[0];const a=document.createElement(\"link\");return a.type=\"text/css\",a.rel=\"stylesheet\",a.media=\"screen\",a.href=e,a.onload=()=>{this.render(),this.relayout()},n.appendChild(a),!0}setStyles(){if(null!=this.tabulator&&0!=this.tabulator.getDataCount()){this._applied_styles=!1;for(const t in this.model.styles.data){const e=this.model.styles.data[t],i=this.tabulator.getRow(t);if(!i)continue;const o=i._row.cells;for(const t in e){const i=e[t],s=o[t];if(null==s||!i.length)continue;const l=s.element;for(const t of i){let e,i;if((0,n.isArray)(t))[e,i]=t;else{if(!t.includes(\":\"))continue;[e,i]=t.split(\":\")}l.style.setProperty(e,i.trimLeft()),this._applied_styles=!0}}}}}setHidden(){for(const t of this.tabulator.getColumns()){const e=t._column;\"_index\"==e.field||this.model.hidden_columns.indexOf(e.field)>-1?t.hide():t.show()}}setMaxPage(){this.tabulator.setMaxPage(this.model.max_page),this.tabulator.modules.page.pagesElement&&this.tabulator.modules.page._setPageButtons()}setPage(){this.tabulator.setPage(Math.min(this.model.max_page,this.model.page))}setPageSize(){this.tabulator.setPageSize(this.model.page_size)}setSelection(){if(null==this.tabulator||this._selection_updating)return;const t=this.model.source.selected.indices,e=this.tabulator.getSelectedData().map((t=>t._index));if(JSON.stringify(t)!=JSON.stringify(e)){this._selection_updating=!0,this.tabulator.deselectRow(),this.tabulator.selectRow(t);for(const e of t){this.tabulator.rowManager.findRow(e)&&this.tabulator.scrollToRow(e,\"center\",!1).catch((()=>{}))}this._selection_updating=!1}}rowClicked(t,e){var i;if(this._selection_updating||this._initializing||\"string\"==typeof this.model.select_mode||!1===this.model.select_mode||this.model.configuration.dataTree||\"\\u25ba\"===(null===(i=t.srcElement)||void 0===i?void 0:i.innerText))return;let o=[];const s=this.model.source.selected,l=e._row.data._index;if(t.ctrlKey||t.metaKey)o=this.model.source.selected.indices;else if(t.shiftKey&&s.indices.length){const t=s.indices[s.indices.length-1];if(l>t)for(let e=t;e<l;e++)o.push(e);else for(let e=t;e>l;e--)o.push(e)}if(o.indexOf(l)<0?o.push(l):o.splice(o.indexOf(l),1),\"number\"==typeof this.model.select_mode)for(;o.length>this.model.select_mode;)o.shift();const n=this._filter_selected(o);this.tabulator.deselectRow(),this.tabulator.selectRow(n),this._selection_updating=!0,s.indices=n,this._selection_updating=!1}_filter_selected(t){const e=[];for(const i of t)(null==this.model.selectable_rows||this.model.selectable_rows.indexOf(i)>=0)&&e.push(i);return e}rowSelectionChanged(t,e){if(this._selection_updating||this._initializing||\"boolean\"==typeof this.model.select_mode||\"number\"==typeof this.model.select_mode||this.model.configuration.dataTree)return;const i=t.map((t=>t._index)),o=this._filter_selected(i);this._selection_updating=i.length===o.length,this.model.source.selected.indices=o,this._selection_updating=!1}cellEdited(t){const e=t._cell.column.field,i=t._cell.row.data._index,o=t._cell.value;this._tabulator_cell_updating=!0,f.comm_settings.debounce=!1;try{this.model.source.patch({[e]:[[i,o]]})}finally{f.comm_settings.debounce=!0,this._tabulator_cell_updating=!1}this.model.trigger_event(new b(e,i)),this.setSorters(),this.tabulator.scrollToRow(i,\"top\",!1)}}i.DataTabulatorView=C,C.__name__=\"DataTabulatorView\",i.TableLayout=(0,h.Enum)(\"fit_data\",\"fit_data_fill\",\"fit_data_stretch\",\"fit_data_table\",\"fit_columns\");class k extends a.HTMLBox{constructor(t){super(t)}static init_DataTabulator(){this.prototype.default_view=C,this.define((({Any:t,Array:e,Boolean:o,Nullable:s,Number:l,Ref:n,String:a})=>({aggregators:[t,{}],buttons:[t,{}],children:[t,{}],configuration:[t,{}],columns:[e(n(m.TableColumn)),[]],download:[o,!1],editable:[o,!0],expanded:[e(l),[]],filename:[a,\"table.csv\"],filters:[e(t),[]],follow:[o,!0],frozen_rows:[e(l),[]],groupby:[e(a),[]],hidden_columns:[e(a),[]],indexes:[e(a),[]],layout:[i.TableLayout,\"fit_data\"],max_page:[l,0],pagination:[s(a),null],page:[l,0],page_size:[l,0],select_mode:[t,!0],selectable_rows:[s(e(l)),null],source:[n(u.ColumnDataSource)],sorters:[e(t),[]],styles:[t,{}],theme:[a,\"simple\"],theme_url:[a,\"https://unpkg.com/tabulator-tables@4.9.3/dist/css/\"]})))}}i.DataTabulator=k,k.__name__=\"DataTabulator\",k.__module__=\"panel.models.tabulator\",k.init_DataTabulator()},\n      \"99a25e6992\": function _(n,l,u,t,e){function o(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}o.debounce=o,l.exports=o},\n      \"7f7d9e0c6b\": function _(n,t,e,o,r){o(),e.transform_cds_to_records=function(n,t=!1,e=0){const o=[],r=n.columns(),l=n.get_length();if(0===r.length||null===l)return[];for(let c=e;c<l;c++){const e={};for(const t of r){let o=n.get_array(t);const r=null==o[0].shape?null:o[0].shape;null!=r&&r.length>1&&\"number\"==typeof r[0]?e[t]=o.slice(c*r[1],c*r[1]+r[1]):e[t]=o[c]}t&&(e._index=c),o.push(e)}return o},e.dict_to_records=function(n,t=!0){for(let e=0;e<n.index.length;e++){const o={};for(const r of n)(t||\"index\"!==r)&&(o[r]=n[r][e])}return[]}},\n      \"6e11b2cfe2\": function _(e,t,i,s,n){s();const o=e(\"tslib\"),l=(0,o.__importDefault)(e(\"50d3473f3f\")),d=e(\"@bokehjs/models/widgets/input_widget\"),a=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/core/enums\"),c=e(\"@bokehjs/core/util/types\"),m=(0,o.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\")),h=(0,o.__importDefault)(e(\"@bokehjs/styles/widgets/flatpickr.css\"));function _(e){const t=[];for(const i of e)if((0,c.isString)(i))t.push(i);else{const[e,s]=i;t.push({from:e,to:s})}return t}class u extends d.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:s,enabled_dates:n,position:o,inline:l,enable_time:d,enable_seconds:a,military_time:r,date_format:c,mode:m}=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(s.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",this.model.disabled_dates)})),this.connect(n.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",this.model.enabled_dates)})),this.connect(o.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)})),this.connect(d.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableTime\",this.model.enable_time)})),this.connect(a.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enableSeconds\",this.model.enable_seconds)})),this.connect(r.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"time_24hr\",this.model.military_time)})),this.connect(m.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"mode\",this.model.mode)})),this.connect(c.change,(()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"dateFormat\",this.model.date_format)}))}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),h.default]}render(){var e,t;null==this._picker&&(super.render(),this.input_el=(0,a.input)({type:\"text\",class:m.input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=(0,l.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:_(this.model.disabled_dates),enable:_(this.model.enabled_dates),enableTime:this.model.enable_time,enableSeconds:this.model.enable_seconds,time_24hr:this.model.military_time,dateFormat:this.model.date_format,mode:this.model.mode,onClose:(e,t,i)=>this._on_close(e,t,i)}))}_on_close(e,t,i){(\"range\"!=this.model.mode||t.includes(\"to\"))&&(this.model.value=t,this.change_input())}}i.DatetimePickerView=u,u.__name__=\"DatetimePickerView\";class p extends d.InputWidget{constructor(e){super(e)}static init_DatetimePicker(){this.prototype.default_view=u,this.define((({Boolean:e,String:t,Array:i,Tuple:s,Or:n,Nullable:o})=>{const l=i(n(t,s(t,t)));return{value:[t],min_date:[o(t),null],max_date:[o(t),null],disabled_dates:[l,[]],enabled_dates:[l,[]],position:[r.CalendarPosition,\"auto\"],inline:[e,!1],enable_time:[e,!0],enable_seconds:[e,!0],military_time:[e,!0],date_format:[t,\"Y-m-d H:i:S\"],mode:[t,\"single\"]}}))}}i.DatetimePicker=p,p.__name__=\"DatetimePicker\",p.__module__=\"panel.models.datetime_picker\",p.init_DatetimePicker()},\n      \"50d3473f3f\": 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<a;t++)for(var i in n=arguments[t])Object.prototype.hasOwnProperty.call(n,i)&&(e[i]=n[i]);return e},e.apply(this,arguments)};function n(){for(var e=0,n=0,t=arguments.length;n<t;n++)e+=arguments[n].length;var a=Array(e),i=0;for(n=0;n<t;n++)for(var o=arguments[n],r=0,l=o.length;r<l;r++,i++)a[i]=o[r];return a}var 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l&&l.getTime()===t.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==t&&r.from&&r.to&&t.getTime()>=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 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d=0;d<w.config.showMonths;d++)for(var s=w.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&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\"),t<n&&m===t?f.classList.add(\"startRange\"):t>n&&m===t&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=t,u=n,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function ie(){!w.isOpen||w.config.static||w.config.inline||ce()}function oe(e){return function(n){var t=w.config[\"_\"+e+\"Date\"]=w.parseDate(n,w.config.dateFormat),a=w.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==t&&(w[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=t.getHours()>0||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&&c<t&&l.top>t,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;n<document.styleSheets.length;n++){var t=document.styleSheets[n];try{t.cssRules}catch(e){continue}e=t;break}return null!=e?e:(a=document.createElement(\"style\"),document.head.appendChild(a),a.sheet);var a}();if(void 0===D)return;var b=window.document.body.offsetWidth,C=Math.max(0,b/2-a/2),M=D.cssRules.length,y=\"{left:\"+l.left+\"px;right:auto;}\";d(w.calendarContainer,\"rightMost\",!1),d(w.calendarContainer,\"centerMost\",!0),D.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+y,M),w.calendarContainer.style.left=C+\"px\",w.calendarContainer.style.right=\"auto\"}else w.calendarContainer.style.left=\"auto\",w.calendarContainer.style.right=p+\"px\";else w.calendarContainer.style.left=f+\"px\",w.calendarContainer.style.right=\"auto\"}}}function de(){w.config.noCalendar||w.isMobile||(K(),De(),J())}function se(){w._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(w.close,0):w.close()}function ue(e){e.preventDefault(),e.stopPropagation();var n=f(g(e),(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==n){var t=n,a=w.latestSelectedDateObj=new Date(t.dateObj.getTime()),i=(a.getMonth()<w.currentMonth||a.getMonth()>w.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]&&a<t.length;a++)t[a](w.selectedDates,w.input.value,w,n);\"onChange\"===e&&(w.input.dispatchEvent(he(\"change\")),w.input.dispatchEvent(he(\"input\")))}}function he(e){var n=document.createEvent(\"Event\");return n.initEvent(e,!0,!0),n}function ve(e){for(var n=0;n<w.selectedDates.length;n++)if(0===M(w.selectedDates[n],e))return\"\"+n;return!1}function De(){w.config.noCalendar||w.isMobile||!w.monthNav||(w.yearElements.forEach((function(e,n){var t=new 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         to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in\n          all copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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     \"9d046c4720\": function _(t,e,s,h,i){h();const r=t(\"@bokehjs/models/layouts/html_box\");class n extends r.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>this._plot()));const{width:t,height:e,renderer:s,theme:h}=this.model.properties;this.on_change([t,e],(()=>this._resize())),this.on_change([h,s],(()=>this.render()))}render(){super.render();const t={width:this.model.width,height:this.model.height,renderer:this.model.renderer};null!=this._chart&&window.echarts.dispose(this._chart),this._chart=window.echarts.init(this.el,this.model.theme,t),this._plot()}after_layout(){super.after_layout(),this._chart.resize()}_plot(){null!=window.echarts&&this._chart.setOption(this.model.data)}_resize(){this._chart.resize({width:this.model.width,height:this.model.height})}}s.EChartsView=n,n.__name__=\"EChartsView\";class a extends r.HTMLBox{constructor(t){super(t)}static init_ECharts(){this.prototype.default_view=n,this.define((({Any:t,String:e})=>({data:[t,{}],theme:[e,\"default\"],renderer:[e,\"canvas\"]})))}}s.ECharts=a,a.__name__=\"ECharts\",a.__module__=\"panel.models.echarts\",a.init_ECharts()},\n      \"c424a3bd17\": function _(e,t,n,s,r){s();const i=e(\"@bokehjs/models/widgets/markup\"),o=e(\"@bokehjs/core/bokeh_events\"),_=e(\"4c755983eb\"),l=e(\"c4ee233e58\");class a extends o.ModelEvent{constructor(e,t){super(),this.node=e,this.data=t,this.event_name=\"dom_event\"}_to_json(){return{model:this.origin,node:this.node,data:this.data}}}function c(e){return(new DOMParser).parseFromString(e,\"text/html\").documentElement.textContent}function d(e){Array.from(e.querySelectorAll(\"script\")).forEach((e=>{const t=document.createElement(\"script\");Array.from(e.attributes).forEach((e=>t.setAttribute(e.name,e.value))),t.appendChild(document.createTextNode(e.innerHTML)),e.parentNode&&e.parentNode.replaceChild(t,e)}))}n.DOMEvent=a,a.__name__=\"DOMEvent\",n.htmlDecode=c,n.runScripts=d;class h extends _.PanelMarkupView{constructor(){super(...arguments),this._event_listeners={}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()}))}render(){super.render();const e=this.process_tex();e?(this.markup_el.innerHTML=e,d(this.markup_el),this._setup_event_listeners()):this.markup_el.innerHTML=\"\"}process_tex(){const e=c(this.model.text)||this.model.text;if(this.model.disable_math||!this.contains_tex(e))return e;const t=this.provider.MathJax.find_tex(e),n=[];let s=0;for(const r of t)n.push(e.slice(s,r.start.n)),n.push(this.provider.MathJax.tex2svg(r.math,{display:r.display}).outerHTML),s=r.end.n;return s<e.length&&n.push(e.slice(s)),n.join(\"\")}contains_tex(e){return!!this.provider.MathJax&&this.provider.MathJax.find_tex(e).length>0}_remove_event_listeners(){for(const e in this._event_listeners){const t=document.getElementById(e);if(null!=t)for(const n in this._event_listeners[e]){const s=this._event_listeners[e][n];t.removeEventListener(n,s)}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}this._event_listeners={}}_setup_event_listeners(){for(const e in this.model.events){const t=document.getElementById(e);if(null!=t)for(const n of this.model.events[e]){const s=t=>{this.model.trigger_event(new a(e,(0,l.serializeEvent)(t)))};t.addEventListener(n,s),e in this._event_listeners||(this._event_listeners[e]={}),this._event_listeners[e][n]=s}else console.warn(`DOM node '${e}' could not be found. Cannot subscribe to DOM events.`)}}}n.HTMLView=h,h.__name__=\"HTMLView\";class u extends i.Markup{constructor(e){super(e)}static init_HTML(){this.prototype.default_view=h,this.define((({Any:e})=>({events:[e,{}]})))}}n.HTML=u,u.__name__=\"HTML\",u.__module__=\"panel.models.markup\",u.init_HTML()},\n      \"c4ee233e58\": function _(e,t,a,r,n){function o(e){let t=null;return e&&(t=function(e){return{boundingClientRect:Object.assign({},e.getBoundingClientRect())}}(e),e.tagName in l&&l[e.tagName].forEach((a=>Object.assign(t,a(e))))),t}r(),a.serializeEvent=\n      /*\n          The MIT License (MIT)\n          \n          Copyright (c) 2019 Ryan S. Morshead\n          \n          Permission is hereby granted, free of charge, to any person obtaining a copy\n          of this software and associated documentation files (the \"Software\"), to deal\n          in the Software without restriction, including without limitation the rights\n          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in all\n          copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n          SOFTWARE.\n          */\n      function(e){const t={};return e.type in d&&Object.assign(t,d[e.type](e)),t.target=o(e.target),t.currentTarget=e.target===e.currentTarget?t.target:o(e.currentTarget),t.relatedTarget=o(e.relatedTarget),t};const i={hasValue:e=>({value:e.value}),hasCurrentTime:e=>({currentTime:e.currentTime}),hasFiles:e=>\"file\"===(null==e?void 0:e.type)?{files:Array.from(e.files).map((e=>({lastModified:e.lastModified,name:e.name,size:e.size,type:e.type})))}:{}};const s={hasValue:[\"BUTTON\",\"INPUT\",\"OPTION\",\"LI\",\"METER\",\"PROGRESS\",\"PARAM\",\"SELECT\",\"TEXTAREA\"],hasCurrentTime:[\"AUDIO\",\"VIDEO\"],hasFiles:[\"INPUT\"]},l={};Object.keys(s).forEach((e=>{s[e].forEach((t=>{(l[t]||(l[t]=[])).push(i[e])}))}));class c{clipboard(e){return{clipboardData:e.clipboardData}}composition(e){return{data:e.data}}keyboard(e){return{altKey:e.altKey,charCode:e.charCode,ctrlKey:e.ctrlKey,key:e.key,keyCode:e.keyCode,locale:e.locale,location:e.location,metaKey:e.metaKey,repeat:e.repeat,shiftKey:e.shiftKey,which:e.which}}mouse(e){return{altKey:e.altKey,button:e.button,buttons:e.buttons,clientX:e.clientX,clientY:e.clientY,ctrlKey:e.ctrlKey,metaKey:e.metaKey,pageX:e.pageX,pageY:e.pageY,screenX:e.screenX,screenY:e.screenY,shiftKey:e.shiftKey}}pointer(e){return Object.assign(Object.assign({},this.mouse(e)),{pointerId:e.pointerId,width:e.width,height:e.height,pressure:e.pressure,tiltX:e.tiltX,tiltY:e.tiltY,pointerType:e.pointerType,isPrimary:e.isPrimary})}selection(){return{selectedText:window.getSelection().toString()}}touch(e){return{altKey:e.altKey,ctrlKey:e.ctrlKey,metaKey:e.metaKey,shiftKey:e.shiftKey}}ui(e){return{detail:e.detail}}wheel(e){return{deltaMode:e.deltaMode,deltaX:e.deltaX,deltaY:e.deltaY,deltaZ:e.deltaZ}}animation(e){return{animationName:e.animationName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime}}transition(e){return{propertyName:e.propertyName,pseudoElement:e.pseudoElement,elapsedTime:e.elapsedTime}}}c.__name__=\"EventTransformCategories\";const u={clipboard:[\"copy\",\"cut\",\"paste\"],composition:[\"compositionend\",\"compositionstart\",\"compositionupdate\"],keyboard:[\"keydown\",\"keypress\",\"keyup\"],mouse:[\"click\",\"contextmenu\",\"doubleclick\",\"drag\",\"dragend\",\"dragenter\",\"dragexit\",\"dragleave\",\"dragover\",\"dragstart\",\"drop\",\"mousedown\",\"mouseenter\",\"mouseleave\",\"mousemove\",\"mouseout\",\"mouseover\",\"mouseup\"],pointer:[\"pointerdown\",\"pointermove\",\"pointerup\",\"pointercancel\",\"gotpointercapture\",\"lostpointercapture\",\"pointerenter\",\"pointerleave\",\"pointerover\",\"pointerout\"],selection:[\"select\"],touch:[\"touchcancel\",\"touchend\",\"touchmove\",\"touchstart\"],ui:[\"scroll\"],wheel:[\"wheel\"],animation:[\"animationstart\",\"animationend\",\"animationiteration\"],transition:[\"transitionend\"]},d={},p=new c;Object.keys(u).forEach((e=>{u[e].forEach((t=>{d[t]=p[e]}))}))},\n      \"7d45bd3bc4\": function _(require,module,exports,__esModule,__esExport){__esModule();const preact_1=require(\"6f11f2ef27\"),hooks_1=require(\"4c02a9b43f\"),preact_2=require(\"b3f51db71c\"),fast_json_patch_1=require(\"cbecfde9cd\"),html_box_1=require(\"@bokehjs/models/layouts/html_box\"),layout_1=require(\"4c755983eb\"),event_to_object_1=require(\"c4ee233e58\"),LayoutConfigContext=(0,preact_1.createContext)({});function mountLayout(e,t,o,n){(0,preact_1.render)(preact_2.html`\n            <${Layout}\n              saveUpdateHook=${t}\n              sendEvent=${o}\n              importSourceUrl=${n}\n            />\n          `,e)}function Layout({saveUpdateHook:e,sendEvent:t,importSourceUrl:o}){const[n,r]=useInplaceJsonPatch({});return(0,hooks_1.useEffect)((()=>e(r)),[r]),n.tagName?preact_2.html`\n            <${LayoutConfigContext.Provider}\n              value=${{sendEvent:t,importSourceUrl:o}}\n            >\n              <${Element} model=${n} />\n            <//>\n          `:preact_2.html`<div />`}function Element({model:e}){return e.importSource?preact_2.html`<${ImportedElement} model=${e} />`:preact_2.html`<${StandardElement} model=${e} />`}function ImportedElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=useLazyModule(e.importSource.source,t.importSourceUrl);if(o){const n=getPathProperty(o,e.tagName),r=elementChildren(e),a=elementAttributes(e,t.sendEvent);return preact_2.html`<${n} ...${a}>${r}<//>`}{const t=e.importSource.fallback;if(!t)return preact_2.html`<div />`;switch(typeof t){case\"object\":return preact_2.html`<${Element} model=${t} />`;case\"string\":return preact_2.html`<div>${t}</div>`;default:return null}}}function StandardElement({model:e}){const t=(0,hooks_1.useContext)(LayoutConfigContext),o=elementChildren(e),n=elementAttributes(e,t.sendEvent);return e.children&&e.children.length?preact_2.html`<${e.tagName} ...${n}>${o}<//>`:preact_2.html`<${e.tagName} ...${n} />`}function elementChildren(e){return e.children?e.children.map((e=>{switch(typeof e){case\"object\":return preact_2.html`<${Element} model=${e} />`;case\"string\":return e;default:return null}})):[]}function elementAttributes(e,t){const o=Object.assign({},e.attributes);return e.eventHandlers&&Object.keys(e.eventHandlers).forEach((n=>{const r=e.eventHandlers[n];o[n]=eventHandler(t,r)})),o}function eventHandler(e,t){return function(){const o=Array.from(arguments).map((e=>\"object\"==typeof e?(t.preventDefault&&e.preventDefault(),t.stopPropagation&&e.stopPropagation(),(0,event_to_object_1.serializeEvent)(e)):e));return new Promise((n=>{const r={data:o,target:t.target};e(r),n(r)}))}}function useLazyModule(source,sourceUrlBase=\"\"){const[module,setModule]=(0,hooks_1.useState)(null);return module||eval(`import('${joinUrl(sourceUrlBase,source)}')`).then(setModule),module}function getPathProperty(e,t){const o=t.split(\".\");let n=e[o.shift()];for(let e=0;e<o.length;e++)n=n[o[e]];return n}function useInplaceJsonPatch(e){const 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layout_1.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.event.change,(()=>{this._update(...this.model.event),setTimeout((()=>{requestAnimationFrame((()=>this.fix_layout()))}))}))}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout(),(0,layout_1.set_size)(this.el,this.model)}initialize(){super.initialize(),mountLayout(this.el,(e=>this._save_update(e)),(e=>this._send(e)),this.model.importSourceUrl)}async lazy_initialize(){await super.lazy_initialize(),await new Promise((e=>{const t=()=>{this._update?e(null):setTimeout(t,100)};t()}))}_save_update(e){this._update=e}async render(){super.render(),this._update(...this.model.event),await new Promise((e=>{const t=()=>{this.el.children.length?(this.fix_layout(),e(null)):setTimeout(t,50)};t()}))}_send(e){this.model.msg=e}}exports.IDOMView=IDOMView,IDOMView.__name__=\"IDOMView\";class IDOM extends html_box_1.HTMLBox{constructor(e){super(e)}static 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c=/(^\\d{1,4}[\\.|\\\\/|-]\\d{1,2}[\\.|\\\\/|-]\\d{1,4})(\\s*(?:0?[1-9]:[0-5]|1(?=[012])\\d:[0-5])\\d\\s*[ap]m)?$/,p=/\\d{2}:\\d{2}:\\d{2} GMT-\\d{4}/,j=/\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}.\\d{3}Z/,h=window.requestAnimationFrame||function(t){return t(),0},u={hoverPreviewEnabled:!1,hoverPreviewArrayCount:100,hoverPreviewFieldCount:5,animateOpen:!0,animateClose:!0,theme:null,useToJSON:!0,sortPropertiesBy:null},g=function(){function t(t,e,r,n){void 0===e&&(e=1),void 0===r&&(r=u),this.json=t,this.open=e,this.config=r,this.key=n,this._isOpen=null,void 0===this.config.hoverPreviewEnabled&&(this.config.hoverPreviewEnabled=u.hoverPreviewEnabled),void 0===this.config.hoverPreviewArrayCount&&(this.config.hoverPreviewArrayCount=u.hoverPreviewArrayCount),void 0===this.config.hoverPreviewFieldCount&&(this.config.hoverPreviewFieldCount=u.hoverPreviewFieldCount),void 0===this.config.useToJSON&&(this.config.useToJSON=u.useToJSON),\"\"===this.key&&(this.key='\"\"')}return 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t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(l(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(l(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(l(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(m).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return 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e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():h(i))};h(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+l(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():h(n))};h(n)}else e&&(e.innerHTML=\"\")},t}();r.default=g},\n      \"be9f51fc39\": function _(e,t,s,o,i){o();const n=e(\"@bokehjs/core/bokeh_events\"),d=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"4c755983eb\");class a extends n.ModelEvent{constructor(e){super(),this.data=e,this.event_name=\"json_edit\"}_to_json(){return{model:this.origin,data:this.data}}}s.JSONEditEvent=a,a.__name__=\"JSONEditEvent\";class m extends 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o.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,(()=>this._update_button_style())),this.connect(this.model.properties.filename.change,(()=>this._update_download())),this.connect(this.model.properties._transfers.change,(()=>this._handle_click())),this.connect(this.model.properties.label.change,(()=>this._update_label())),this.connect(this.model.properties.disabled.change,(()=>this.set_disabled()))}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el),this.input_el=(0,d.input)({type:\"bk_btn, bk_btn_type\"}),this.input_el.addEventListener(\"change\",(()=>this.change_input()))}styles(){return[...super.styles(),a.default]}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],s=new ArrayBuffer(t.length),l=new Uint8Array(s);for(let e=0;e<t.length;e++)l[e]=t.charCodeAt(e);return new Blob([s],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){const e=h[`btn_${this.model.button_type}`];if(this.anchor_el.hasAttribute(\"class\")){const t=this.anchor_el.classList.item(1);t&&this.anchor_el.classList.replace(t,e)}else this.anchor_el.classList.add(h.btn),this.anchor_el.classList.add(e)}set_disabled(){this.model.disabled?this.anchor_el.setAttribute(\"disabled\",\"\"):this.anchor_el.removeAttribute(\"disabled\")}}i.FileDownloadView=r,r.__name__=\"FileDownloadView\";class c extends o.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=r,this.define((({Boolean:e,Int:t,Nullable:i,String:s})=>({auto:[e,!1],clicks:[t,0],data:[i(s),null],label:[s,\"Download\"],filename:[i(s),null],button_type:[_.ButtonType,\"default\"],_transfers:[t,0]}))),this.override({title:\"\"})}}i.FileDownload=c,c.__name__=\"FileDownload\",c.__module__=\"panel.models.widgets\",c.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i,a,n){a();const s=e(\"@bokehjs/models/widgets/markup\"),r=e(\"4c755983eb\");class l extends r.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=l,l.__name__=\"KaTeXView\";class d extends s.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=l}}i.KaTeX=d,d.__name__=\"KaTeX\",d.__module__=\"panel.models.katex\",d.init_KaTeX()},\n      \"0c52a301f3\": function _(e,o,t,i,h){i();const a=e(\"@bokehjs/core/view\"),s=e(\"@bokehjs/model\");class n extends a.View{initialize(){super.initialize(),this.model.pathname=window.location.pathname,this.model.search=window.location.search,this.model.hash=window.location.hash,this.model.href=window.location.href,this.model.hostname=window.location.hostname,this.model.protocol=window.location.protocol,this.model.port=window.location.port,this._hash_listener=()=>{this.model.hash=window.location.hash},window.addEventListener(\"hashchange\",this._hash_listener)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.pathname.change,(()=>this.update(\"pathname\"))),this.connect(this.model.properties.search.change,(()=>this.update(\"search\"))),this.connect(this.model.properties.hash.change,(()=>this.update(\"hash\"))),this.connect(this.model.properties.reload.change,(()=>this.update(\"reload\")))}remove(){super.remove(),window.removeEventListener(\"hashchange\",this._hash_listener)}update(e){this.model.reload&&\"reload\"!==e?(\"pathname\"==e&&(window.location.pathname=this.model.pathname),\"search\"==e&&(window.location.search=this.model.search),\"hash\"==e&&(window.location.hash=this.model.hash)):(window.history.pushState({},\"\",`${this.model.pathname}${this.model.search}${this.model.hash}`),this.model.href=window.location.href,\"reload\"===e&&window.location.reload())}}t.LocationView=n,n.__name__=\"LocationView\";class l extends s.Model{constructor(e){super(e)}static init_Location(){this.prototype.default_view=n,this.define((({Boolean:e,String:o})=>({href:[o,\"\"],hostname:[o,\"\"],pathname:[o,\"\"],protocol:[o,\"\"],port:[o,\"\"],search:[o,\"\"],hash:[o,\"\"],reload:[e,!1]})))}}t.Location=l,l.__name__=\"Location\",l.__module__=\"panel.models.location\",l.init_Location()},\n      \"0c21036737\": function _(e,t,a,i,s){i();const h=e(\"@bokehjs/models/widgets/markup\"),_=e(\"4c755983eb\");class n extends _.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=n,n.__name__=\"MathJaxView\";class u extends h.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=n}}a.MathJax=u,u.__name__=\"MathJax\",u.__module__=\"panel.models.mathjax\",u.init_MathJax()},\n      \"4ae96bd77b\": function _(e,t,s,i,n){i();const l=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/sources/column_data_source\"),c=e(\"4c755983eb\"),a={\"material-dark\":\"Material Dark\",material:\"Material Light\",\"material-dense\":\"Material Light\",\"material-dense-dark\":\"Material Dark\",vaporwave:\"Vaporwave\",solarized:\"Solarized\",\"solarized-dark\":\"Solarized Dark\",monokai:\"Monokai\"},h={datagrid:\"Datagrid\",d3_x_bar:\"X Bar\",d3_y_bar:\"Y Bar\",d3_xy_line:\"X/Y Line\",d3_y_line:\"Y Line\",d3_y_area:\"Y Area\",d3_y_scatter:\"Y Scatter\",d3_xy_scatter:\"X/Y Scatter\",d3_treemap:\"Treemap\",d3_candlestick:\"Candlestick\",d3_sunburst:\"Sunburst\",d3_heatmap:\"Heatmap\",d3_ohlc:\"OHLC\"};function p(e){const t={};return Object.keys(e).forEach((s=>{t[e[s]]=s})),t}const _=p(h),d=p(a);class m extends c.PanelHTMLBoxView{constructor(){super(...arguments),this._updating=!1,this._config_listener=null,this._current_config=null,this._event_listener=null,this._loaded=!1}connect_signals(){super.connect_signals(),this.connect(this.model.source.properties.data.change,(()=>this.setData())),this.connect(this.model.properties.toggle_config.change,(()=>{this.perspective_element.toggleConfig(),this.fix_layout()})),this.connect(this.model.properties.columns.change,(()=>{this.perspective_element.restore({columns:this.model.columns})})),this.connect(this.model.properties.expressions.change,(()=>{this.perspective_element.restore({expressions:this.model.expressions})})),this.connect(this.model.properties.split_by.change,(()=>{this.perspective_element.restore({split_by:this.model.split_by})})),this.connect(this.model.properties.group_by.change,(()=>{this.perspective_element.restore({group_by:this.model.group_by})})),this.connect(this.model.properties.aggregates.change,(()=>{this.perspective_element.restore({aggregates:this.model.aggregates})})),this.connect(this.model.properties.filters.change,(()=>{this.perspective_element.restore({filter:this.model.filters})})),this.connect(this.model.properties.sort.change,(()=>{this.perspective_element.restore({sort:this.model.sort})})),this.connect(this.model.properties.plugin.change,(()=>{this.perspective_element.restore({plugin:h[this.model.plugin]})})),this.connect(this.model.properties.selectable.change,(()=>{this.perspective_element.restore({plugin_config:Object.assign(Object.assign({},this._current_config),{selectable:this.model.selectable})})})),this.connect(this.model.properties.editable.change,(()=>{this.perspective_element.restore({plugin_config:Object.assign(Object.assign({},this._current_config),{editable:this.model.editable})})})),this.connect(this.model.properties.theme.change,(()=>{this.perspective_element.restore({theme:a[this.model.theme]}).catch((()=>{}))})),null!=this.model.document&&(this._event_listener=e=>this.on_event(e),this.model.document.on_change(this._event_listener))}disconnect_signals(){null!=this._config_listener&&this.perspective_element.removeEventListener(\"perspective-config-update\",this._config_listener),this._config_listener=null,null!=this.model.document&&null!=this._event_listener&&this.model.document.remove_on_change(this._event_listener),this._event_listener=null,super.disconnect_signals()}async render(){super.render(),this.worker=window.perspective.worker(),this.table=await this.worker.table(this.model.schema),this.table.update(this.data);const e=(0,o.div)({class:\"pnx-perspective-viewer\",style:{zIndex:0}});(0,c.set_size)(e,this.model),e.innerHTML=\"<perspective-viewer style='height:100%; width:100%;'></perspective-viewer>\",this.perspective_element=e.children[0],this.perspective_element.resetThemes([...Object.values(a)]).catch((()=>{})),(0,c.set_size)(this.perspective_element,this.model),this.el.appendChild(e),this.perspective_element.load(this.table);const t=Object.assign(Object.assign({},this.model.plugin_config),{editable:this.model.editable,selectable:this.model.selectable});this.perspective_element.restore({aggregates:this.model.aggregates,columns:this.model.columns,expressions:this.model.expressions,filter:this.model.filters,split_by:this.model.split_by,group_by:this.model.group_by,plugin:h[this.model.plugin],plugin_config:t,sort:this.model.sort,theme:a[this.model.theme]}).catch((()=>{})),this._config_listener=()=>this.sync_config(),this._current_config=await this.perspective_element.save(),this.model.toggle_config&&this.perspective_element.toggleConfig(),this.perspective_element.addEventListener(\"perspective-config-update\",this._config_listener),this._loaded=!0,this.fix_layout()}fix_layout(){this.update_layout(),this.compute_layout(),this.invalidate_layout()}sync_config(){return this._updating||this.perspective_element.save().then((e=>{this._current_config=e;const t={};for(let s in e){let i=e[s];void 0===i||\"plugin\"==s&&\"debug\"===i||\"settings\"===s||(\"filter\"===s?s=\"filters\":\"plugin\"===s?i=_[i]:\"theme\"===s&&(i=d[i]),t[s]=i)}this._updating=!0,this.model.setv(t),this._updating=!1})),!0}on_event(e){null!=(e=e.hint)&&null!=e.column_source&&e.column_source.id==this.model.source.id&&(void 0!==e.rollover?this.stream(e.data,e.rollover):void 0!==e.patches&&this.patch(e.patches))}get data(){const e={};for(const t of this.model.source.columns())e[t]=this.model.source.get_array(t);return e}stream(e,t){this._loaded&&(null==t?this.table.update(e):this.table.replace(this.data))}patch(e){this.table.replace(this.data)}setData(){this._loaded&&this.table.load(this.data)}}s.PerspectiveView=m,m.__name__=\"PerspectiveView\";class g extends l.HTMLBox{constructor(e){super(e)}static init_Perspective(){this.prototype.default_view=m,this.define((({Any:e,Array:t,Boolean:s,Ref:i,Nullable:n,String:l})=>({aggregates:[e],columns:[t(n(l))],expressions:[n(t(l))],split_by:[n(t(l))],editable:[n(s)],filters:[n(t(e))],group_by:[n(t(l))],plugin:[l],plugin_config:[e],selectable:[n(s)],schema:[e,{}],toggle_config:[s,!0],sort:[n(t(t(l)))],source:[i(r.ColumnDataSource)],theme:[l]})))}}s.Perspective=g,g.__name__=\"Perspective\",g.__module__=\"panel.models.perspective\",g.init_Perspective()},\n      \"27b8bb6d20\": function _(e,t,i,s,o){s();const l=e(\"@bokehjs/core/kinds\"),n=e(\"@bokehjs/core/dom\"),a=e(\"@bokehjs/models/widgets/widget\");function r(e){e.forEach((e=>e.style.borderStyle=\"inset\"))}function d(e){e.forEach((e=>e.style.borderStyle=\"outset\"))}class h extends a.WidgetView{constructor(){super(...arguments),this._changing=!1}connect_signals(){super.connect_signals(),this.connect(this.model.properties.direction.change,(()=>this.set_direction())),this.connect(this.model.properties.value.change,(()=>this.render())),this.connect(this.model.properties.loop_policy.change,(()=>this.set_loop_state(this.model.loop_policy))),this.connect(this.model.properties.disabled.change,(()=>this.toggle_disable())),this.connect(this.model.properties.show_loop_controls.change,(()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.groupEl.removeChild(this.loop_state)}))}toggle_disable(){this.sliderEl.disabled=this.model.disabled;for(const e of this.buttonEl.children){e.disabled=this.model.disabled}for(const e of this.loop_state.children)if(\"input\"==e.tagName){e.disabled=this.model.disabled}}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=(0,n.div)(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=(0,n.div)();this.buttonEl=e,e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",i=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",s=document.createElement(\"button\");s.style.cssText=t,s.appendChild(document.createTextNode(\"\\u2013\")),s.onclick=()=>this.slower(),e.appendChild(s);const o=document.createElement(\"button\");o.style.cssText=i,o.appendChild(document.createTextNode(\"\\u275a\\u25c0\\u25c0\")),o.onclick=()=>this.first_frame(),e.appendChild(o);const l=document.createElement(\"button\");l.style.cssText=i,l.appendChild(document.createTextNode(\"\\u275a\\u25c0\")),l.onclick=()=>this.previous_frame(),e.appendChild(l);const a=document.createElement(\"button\");a.style.cssText=i,a.appendChild(document.createTextNode(\"\\u25c0\")),a.onclick=()=>this.reverse_animation(),e.appendChild(a);const h=document.createElement(\"button\");h.style.cssText=i,h.appendChild(document.createTextNode(\"\\u275a\\u275a\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const c=document.createElement(\"button\");c.style.cssText=i,c.appendChild(document.createTextNode(\"\\u25b6\")),c.onclick=()=>this.play_animation(),e.appendChild(c);const p=document.createElement(\"button\");p.style.cssText=i,p.appendChild(document.createTextNode(\"\\u25b6\\u275a\")),p.onclick=()=>this.next_frame(),e.appendChild(p);const m=document.createElement(\"button\");m.style.cssText=i,m.appendChild(document.createTextNode(\"\\u25b6\\u25b6\\u275a\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{d([h,c]),r([a])},this._toogle_pause=()=>{d([a,c]),r([h])},this._toggle_play=()=>{d([a,h]),r([c])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.toggle_disable(),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var i=e[t];if(i.checked)return i.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,i=0;i<t.length;i++){var s=t[i];s.value==e&&(s.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}set_direction(){this._changing||(0===this.model.direction?this.pause_animation():1===this.model.direction?this.play_animation():-1===this.model.direction&&this.reverse_animation())}pause_animation(){this._toogle_pause(),this._changing=!0,this.model.direction=0,this._changing=!1,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this._changing=!0,this.model.direction=1,this._changing=!1,this.timer||(this.timer=setInterval((()=>this.anim_step_forward()),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this._changing=!0,this.model.direction=-1,this._changing=!1,this.timer||(this.timer=setInterval((()=>this.anim_step_reverse()),this.model.interval))}}i.PlayerView=h,h.__name__=\"PlayerView\",i.LoopPolicy=(0,l.Enum)(\"once\",\"loop\",\"reflect\");class c extends a.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=h,this.define((({Boolean:e,Int:t})=>({direction:[t,0],interval:[t,500],start:[t,0],end:[t,10],step:[t,1],loop_policy:[i.LoopPolicy,\"once\"],value:[t,0],show_loop_controls:[e,!0]}))),this.override({width:400})}}i.Player=c,c.__name__=\"Player\",c.__module__=\"panel.models.widgets\",c.init_Player()},\n      \"42de27e56c\": function _(t,e,o,i,l){i();const s=t(\"@bokehjs/core/dom\"),r=t(\"@bokehjs/core/util/object\"),a=t(\"@bokehjs/core/util/eq\"),n=t(\"@bokehjs/models/layouts/html_box\"),p=t(\"@bokehjs/models/sources/column_data_source\"),_=t(\"99a25e6992\"),h=t(\"990b5dd5c7\"),u=t(\"4c755983eb\"),d=(t,e,o)=>{let i=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const l=t.data;for(let t=0;t<e.points.length;t++){const i=e.points[t];let s={};for(let t in i){const e=i[t];!i.hasOwnProperty(t)||Array.isArray(e)||(0,h.isPlainObject)(e)||(s[t]=e)}null!=i&&(i.hasOwnProperty(\"curveNumber\")&&i.hasOwnProperty(\"pointNumber\")&&l[i.curveNumber].hasOwnProperty(\"customdata\")&&(s.customdata=l[i.curveNumber].customdata[i.pointNumber]),i.hasOwnProperty(\"pointNumbers\")&&(s.pointNumbers=i.pointNumbers)),o[t]=s}i.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(i[t]=e[t]);return e.hasOwnProperty(\"range\")&&(i.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(i.lassoPoints=e.lassoPoints),i};class y extends u.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=(0,_.debounce)((()=>{this._relayouting=!1}),2e3,!1)}initialize(){super.initialize(),this._layout_wrapper=(0,s.div)({style:\"height: 100%; width: 100%;\"})}connect_signals(){super.connect_signals();const{data:t,data_sources:e,layout:o,relayout:i,restyle:l}=this.model.properties;this.on_change([t,e,o],(()=>{const t=this.model._render_count;setTimeout((()=>{this.model._render_count===t&&(this.model._render_count+=1)}),250)})),this.on_change([i],(()=>{null!=this.model.relayout&&(window.Plotly.relayout(this._layout_wrapper,this.model.relayout),this.model.relayout=null)})),this.on_change([l],(()=>{null!=this.model.restyle&&(window.Plotly.restyle(this._layout_wrapper,this.model.restyle.data,this.model.restyle.traces),this.model.restyle=null)})),this.connect(this.model.properties.viewport_update_policy.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties.viewport_update_throttle.change,(()=>{this._updateSetViewportFunction()})),this.connect(this.model.properties._render_count.change,(()=>{this.plot()})),this.connect(this.model.properties.frames.change,(()=>{this.plot(!0)})),this.connect(this.model.properties.viewport.change,(()=>this._updateViewportFromProperty())),this.connect(this.model.properties.visibility.change,(()=>{this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\"}))}async render(){super.render(),this.el.style.visibility=this.model.visibility?\"visible\":\"hidden\",this.el.appendChild(this._layout_wrapper),await this.plot(),window.Plotly.relayout(this._layout_wrapper,this.model.relayout)}_trace_data(){const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));return t}_layout_data(){const t=(0,h.deepCopy)(this.model.layout);if(this._relayouting){const{layout:e}=this._layout_wrapper;Object.keys(e).reduce(((e,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in e&&(t[o].range=e.range)}),{})}return t}_install_callbacks(){this._layout_wrapper.on(\"plotly_relayout\",(t=>{!0!==t._update_from_property&&(this.model.relayout_data=d(this._layout_wrapper,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())})),this._layout_wrapper.on(\"plotly_relayouting\",(()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())})),this._layout_wrapper.on(\"plotly_restyle\",(t=>{this.model.restyle_data=d(this._layout_wrapper,t,\"restyle\"),this._updateViewportProperty()})),this._layout_wrapper.on(\"plotly_click\",(t=>{this.model.click_data=d(this._layout_wrapper,t,\"click\")})),this._layout_wrapper.on(\"plotly_hover\",(t=>{this.model.hover_data=d(this._layout_wrapper,t,\"hover\")})),this._layout_wrapper.on(\"plotly_selected\",(t=>{this.model.selected_data=d(this._layout_wrapper,t,\"selected\")})),this._layout_wrapper.on(\"plotly_clickannotation\",(t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t})),this._layout_wrapper.on(\"plotly_deselect\",(()=>{this.model.selected_data=null})),this._layout_wrapper.on(\"plotly_unhover\",(()=>{this.model.hover_data=null}))}async plot(t=!1){if(!window.Plotly)return;const e=this._trace_data(),o=this._layout_data();if(this._reacting=!0,t){const t={data:e,layout:o,config:this.model.config,frames:this.model.frames};await window.Plotly.newPlot(this._layout_wrapper,t)}else await window.Plotly.react(this._layout_wrapper,e,o,this.model.config),null!=this.model.frames&&await window.Plotly.addFrames(this._layout_wrapper,this.model.frames);var i,l;this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized?(i=this._layout_wrapper,(l=window.getComputedStyle(i).display)&&\"none\"!==l&&window.Plotly.Plots.resize(this._layout_wrapper)):this._install_callbacks(),this._reacting=!1,this._plotInitialized=!0}after_layout(){super.after_layout(),(0,u.set_size)(this.el,this.model),window.Plotly&&this._plotInitialized&&window.Plotly.Plots.resize(this._layout_wrapper)}_get_trace(t,e){const o=(0,r.clone)(this.model.data[t]),i=this.model.data_sources[t];for(const t of i.columns()){let l=i.get_array(t)[0];if(null!=l.shape&&l.shape.length>1){const t=[],e=l.shape;for(let o=0;o<e[0];o++)t.push(l.slice(o*e[1],(o+1)*e[1]));l=t}let s=t.split(\".\"),r=s[s.length-1],a=o;for(let t of s.slice(0,-1))a=a[t];e&&1==s.length?a[r]=[l]:a[r]=l}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this._layout_wrapper._fullLayout;Object.keys(this.model.viewport).reduce(((e,o)=>{if((0,a.isEqual)((0,h.get)(t,o),e))return!0;{let t=(0,h.deepCopy)(this.model.viewport);return t._update_from_property=!0,this._settingViewport=!0,window.Plotly.relayout(this.el,t).then((()=>{this._settingViewport=!1})),!1}}),{})}_updateViewportProperty(){const t=this._layout_wrapper._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let i=o.slice(0,5);\"xaxis\"!==i&&\"yaxis\"!==i||(e[o+\".range\"]=(0,h.deepCopy)(t[o].range))}(0,a.isEqual)(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=(0,h.throttle)((t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}),this.model.viewport_update_throttle)}}o.PlotlyPlotView=y,y.__name__=\"PlotlyPlotView\";class c extends n.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=y,this.define((({Array:t,Any:e,Boolean:o,Ref:i,String:l,Nullable:s,Number:r})=>({data:[t(e),[]],layout:[e,{}],config:[e,{}],frames:[s(t(e)),null],data_sources:[t(i(p.ColumnDataSource)),[]],relayout:[s(e),{}],restyle:[s(e),{}],relayout_data:[e,{}],restyle_data:[t(e),[]],click_data:[e,{}],hover_data:[e,{}],clickannotation_data:[e,{}],selected_data:[e,{}],viewport:[e,{}],viewport_update_policy:[l,\"mouseup\"],viewport_update_throttle:[r,200],visibility:[o,!0],_render_count:[r,0]})))}}o.PlotlyPlot=c,c.__name__=\"PlotlyPlot\",c.__module__=\"panel.models.plotly\",c.init_PlotlyPlot()},\n      \"990b5dd5c7\": function _(t,n,r,e,o){e();r.get=(t,n,r)=>{const e=r=>String.prototype.split.call(n,r).filter(Boolean).reduce(((t,n)=>null!=t?t[n]:t),t),o=e(/[,[\\]]+?/)||e(/[,[\\].]+?/);return void 0===o||o===t?r:o},r.throttle=function(t,n){var r=0;return function(){var e=Number(new Date);e-r>=n&&(t(),r=e)}},r.deepCopy=function t(n){var r;if(null==n||\"object\"!=typeof n)return n;if(n instanceof Array){r=[];for(var e=0,o=n.length;e<o;e++)r[e]=t(n[e]);return r}if(n instanceof Object){const r={};for(const e in n){const o=e;n.hasOwnProperty(o)&&(r[o]=t(n[o]))}return r}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},r.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"979633320f\": function _(e,s,t,i,o){i();const l=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"4c755983eb\");class h extends l.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,(()=>this.setCSS())),this.connect(this.model.properties.bar_color.change,(()=>this.setCSS())),this.connect(this.model.properties.css_classes.change,(()=>this.setCSS())),this.connect(this.model.properties.value.change,(()=>this.setValue())),this.connect(this.model.properties.max.change,(()=>this.setMax()))}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),(0,r.set_size)(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null==this.model.value?this.progressEl.value=0:this.model.value>=0?this.progressEl.value=this.model.value:this.model.value<0&&this.progressEl.removeAttribute(\"value\"),console.log(this.progressEl)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=h,h.__name__=\"ProgressView\";class n extends l.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=h,this.define((({Any:e,Boolean:s,Number:t,String:i})=>({active:[s,!0],bar_color:[i,\"primary\"],style:[e,{}],max:[t,100],value:[e,null]})))}}t.Progress=n,n.__name__=\"Progress\",n.__module__=\"panel.models.widgets\",n.init_Progress()},\n      \"d51a79a0a3\": function _(e,t,i,l,o){l();const s=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"4c755983eb\");class d extends h.PanelHTMLBoxView{initialize(){super.initialize(),this._container=(0,s.div)({})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,(()=>this.quill.enable(!this.model.disabled))),this.connect(this.model.properties.text.change,(()=>{this._editing||(this._editing=!0,this.quill.enable(!1),this.quill.setContents([]),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this.quill.enable(!this.model.disabled),this._editing=!1)}));const{mode:e,toolbar:t,placeholder:i}=this.model.properties;this.on_change([i],(()=>{this.quill.root.setAttribute(\"data-placeholder\",this.model.placeholder)})),this.on_change([e,t],(()=>{this.render(),this._layout_toolbar()}))}_layout_toolbar(){if(null==this._toolbar)this.el.style.removeProperty(\"padding-top\");else{const e=this._toolbar.getBoundingClientRect().height+1;this.el.style.paddingTop=e+\"px\",this._toolbar.style.marginTop=-e+\"px\"}}render(){super.render(),this.el.appendChild(this._container);const e=\"bubble\"===this.model.mode?\"bubble\":\"snow\";this.quill=new window.Quill(this._container,{modules:{toolbar:this.model.toolbar},readOnly:!0,placeholder:this.model.placeholder,theme:e}),this._editor=this.el.querySelector(\".ql-editor\"),this._toolbar=this.el.querySelector(\".ql-toolbar\"),this.quill.clipboard.dangerouslyPasteHTML(this.model.text),this.quill.on(\"text-change\",(()=>{this._editing||(this._editing=!0,this.model.text=this._editor.innerHTML,this._editing=!1)})),this.model.disabled||this.quill.enable(!this.model.disabled)}after_layout(){super.after_layout(),this._layout_toolbar()}}i.QuillInputView=d,d.__name__=\"QuillInputView\";class a extends n.HTMLBox{constructor(e){super(e)}static init_QuillInput(){this.prototype.default_view=d,this.define((({Any:e,String:t})=>({mode:[t,\"toolbar\"],placeholder:[t,\"\"],text:[t,\"\"],toolbar:[e,null]}))),this.override({height:300})}}i.QuillInput=a,a.__name__=\"QuillInput\",a.__module__=\"panel.models.quill\",a.init_QuillInput()},\n      \"5fad190ca1\": function _(e,t,s,n,i){n();const o=e(\"6f11f2ef27\"),l=e(\"4c02a9b43f\"),r=e(\"b3f51db71c\"),c=e(\"@bokehjs/core/build_views\"),a=e(\"@bokehjs/core/util/types\"),d=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"@bokehjs/core/dom\"),_=e(\"@bokehjs/core/util/color\"),u=e(\"7f7d9e0c6b\"),m=e(\"c4ee233e58\"),p=e(\"c424a3bd17\"),f=e(\"4c755983eb\");function v(e,t,s){const n={};for(const e of s)n[`{${e}}`]=\"(.*)\";const i=[];let o=\"^\"+(e.replace(/[-\\/\\\\^$*+?.()|[\\]]/g,\"\\\\$&\")+\"$\");let l,r,c;for(const t in n)if(r=e.indexOf(t),r>-1){for(o=o.replace(t,n[t]),c={index:r,token:t},l=0;l<i.length&&i[l].index<r;l++);l<i.length?i.splice(l,0,c):i.push(c)}o=o.replace(/\\{[^{}]+\\}/g,\".*\");var a=new RegExp(o).exec(t);let d=null;if(a)for(d={},l=0;l<i.length;l++)d[i[l].token.slice(1,-1)]=a[l+1];return d}class g extends f.PanelHTMLBoxView{constructor(){super(...arguments),this._parent=null,this._changing=!1,this._event_listeners={},this._mutation_observers=[],this._script_fns={},this._state={}}initialize(){super.initialize(),this.html=(0,p.htmlDecode)(this.model.html)||this.model.html}_recursive_connect(e,t,s){for(const n in e.properties){let i;i=s.length?`${s}.${n}`:n;const o=e[n];null!=o&&(null!=o.properties&&this._recursive_connect(o,!0,i),this.connect(e.properties[n].change,(()=>{if(t)for(const t in this.model.children)if(this.model.children[t]==n){let s=e[n];return(0,a.isArray)(s)||(s=[s]),this._render_node(t,s),void this.invalidate_layout()}this._changing||(this._update(i),this.invalidate_layout())})))}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,(async()=>{this.html=(0,p.htmlDecode)(this.model.html)||this.model.html,await this.rebuild(),this.invalidate_layout()})),this._recursive_connect(this.model.data,!0,\"\"),this.connect(this.model.properties.events.change,(()=>{this._remove_event_listeners(),this._setup_event_listeners()})),this.connect_scripts()}connect_scripts(){const e=this.model.data.id;for(let t in this.model.scripts){const s=this.model.scripts[t];let n,i=this.model.data;if(t.indexOf(\".\")>=0){const e=t.split(\".\");n=e[e.length-1];for(const t of e.slice(0,-1))i=i[t]}else n=t;for(const o of s){const s=(0,p.htmlDecode)(o)||o,l=this._render_script(s,e);this._script_fns[t]=l;const r=i.properties[n];null!=r&&this.connect(r.change,(()=>{this._changing||this.run_script(t)}))}}}run_script(e,t=!1){const s=this._script_fns[e];if(void 0===s)return void(t||console.log(`Script '${e}' could not be found.`));const n={get_records:(e,t)=>this.get_records(e,t)};for(const e in this._script_fns)n[e]=()=>this.run_script(e);return s(this.model,this.model.data,this._state,this,(e=>this.run_script(e)),n)}get_records(e,t=!0){return(0,u.dict_to_records)(this.model.data[e],t)}disconnect_signals(){super.disconnect_signals(),this._remove_event_listeners(),this._remove_mutation_observers(),this.run_script(\"remove\",!0)}get child_models(){const e=[];for(const t in this.model.children)for(const s of this.model.children[t])\"string\"!=typeof s&&e.push(s);return e}async build_child_views(){await(0,c.build_views)(this._child_views,this.child_models,{parent:null})}compute_layout(){this.root!=this?super.compute_layout():(this.update_position(),this.after_layout(),this.notify_finished())}after_layout(){for(const e of this.child_views)e.after_layout();this.run_script(\"after_layout\",!0),this._has_finished=!0}update_layout(){for(const e of this.child_views)this._align_view(e),e.compute_viewport(),e.update_layout(),e.compute_layout();this.root!=this&&this._update_layout()}_align_view(e){const{align:t}=e.model;let s,n;(0,a.isArray)(t)?[s,n]=t:s=n=t,\"center\"===s?(e.el.style.marginLeft=\"auto\",e.el.style.marginRight=\"auto\"):\"end\"===s&&(e.el.style.marginLeft=\"auto\"),\"center\"===n?(e.el.style.marginTop=\"auto\",e.el.style.marginBottom=\"auto\"):\"end\"===n&&(e.el.style.marginTop=\"auto\")}render(){(0,h.empty)(this.el);const{background:e}=this.model;this.el.style.backgroundColor=null!=e?(0,_.color2css)(e):\"\",(0,h.classes)(this.el).clear().add(...this.css_classes()),this._update(),this._render_children(),this._setup_mutation_observers(),this._setup_event_listeners(),this.run_script(\"render\",!0)}_send_event(e,t,s){let n=(0,m.serializeEvent)(s);n.type=t;for(const e in n)void 0===n[e]&&delete n[e];this.model.trigger_event(new p.DOMEvent(e,n))}_render_child(e,t){const s=this._child_views.get(e);null==s?t.innerHTML=(0,p.htmlDecode)(e)||e:(s._parent=this,s.renderTo(t))}resize_layout(){null!=this._parent&&this._parent.resize_layout(),this.root!=this&&super.resize_layout()}invalidate_layout(){null!=this._parent&&this._parent.invalidate_layout(),this.root!=this&&this.root.has_finished()&&super.invalidate_layout()}update_position(){if(this.root!=this)return void super.update_position();this.el.style.display=this.model.visible?\"block\":\"none\",(0,f.set_size)(this.el,this.model);let{margin:e}=this.model,t=null;if(null==e)this.el.style.margin=\"\";else{if((0,a.isNumber)(e))t={top:e,right:e,bottom:e,left:e};else if(2==e.length){const[s,n]=e;t={top:s,right:n,bottom:s,left:n}}else{const[s,n,i,o]=e;t={top:s,right:n,bottom:i,left:o}}const{top:s,right:n,bottom:i,left:o}=t;this.el.style.padding=`${s}px ${n}px ${i}px ${o}px`}for(const e of this.child_views)e.update_position()}_render_node(e,t){const s=this.model.data.id;if(this.model.looped.indexOf(e)>-1)for(let n=0;n<t.length;n++){let i=document.getElementById(`${e}-${n}-${s}`);null!=i?this._render_child(t[n],i):console.warn(`DOM node '${e}-${n}-${s}' could not be found. Cannot render children.`)}else{let n=document.getElementById(`${e}-${s}`);if(null==n)return void console.warn(`DOM node '${e}-${s}' could not be found. Cannot render children.`);for(const e of t)this._render_child(e,n)}}_render_children(){for(const e in this.model.children){let t=this.model.children[e];\"string\"==typeof t&&(t=this.model.data[t],(0,a.isArray)(t)||(t=[t])),this._render_node(e,t)}}_render_html(e,t={}){let s=e,n=\"\";const i=[];for(const e in this.model.callbacks)for(const t of this.model.callbacks[e]){const[o,l]=t;let r;if(s=s.replaceAll(\"${\"+l+\"}\",\"$--{\"+l+\"}\"),l.startsWith(\"script(\")){const e=l.replace(\"('\",\"_\").replace(\"')\",\"\").replace('(\"',\"_\").replace('\")',\"\").replace(\"-\",\"_\"),t=e.replaceAll(\"script_\",\"\");s=s.replaceAll(l,e),r=`\\n          const ${e} = (event) => {\\n            view._state.event = event\\n            view.run_script(\"${t}\")\\n            delete view._state.event\\n          }\\n          `}else r=`\\n          const ${l} = (event) => {\\n            view._send_event(\"${e}\", \"${o}\", event)\\n          }\\n          `;i.indexOf(l)>-1||(i.push(l),n+=r)}return s=s.replaceAll(\"${model.\",\"$-{model.\").replaceAll(\"${\",\"${data.\").replaceAll(\"$-{model.\",\"${model.\").replaceAll(\"$--{\",\"${\"),new Function(\"view, model, data, state, html, useCallback\",n+\"return html`\"+s+\"`;\")(this,this.model,this.model.data,t,r.html,l.useCallback)}_render_script(e,t){const s=[];for(const n of this.model.nodes){const i=n.replace(\"-\",\"_\");if(-1===e.indexOf(i))continue;const o=`\\n      const ${i} = document.getElementById('${n}-${t}')\\n      if (${i} == null) {\\n        console.warn(\"DOM node '${n}' could not be found. Cannot execute callback.\")\\n        return\\n      }\\n      `;s.push(o)}return s.push(\"\\n    if (state.event !== undefined) {\\n      const event = state.event\\n    }\\n    \"),s.push(e),new Function(\"model, data, state, view, script, self\",s.join(\"\\n\"))}_remove_mutation_observers(){for(const e of this._mutation_observers)e.disconnect();this._mutation_observers=[]}_setup_mutation_observers(){const e=this.model.data.id;for(const t in this.model.attrs){const s=document.getElementById(`${t}-${e}`);if(null==s){console.warn(`DOM node '${t}-${e}' could not be found. Cannot set up MutationObserver.`);continue}const n=new MutationObserver((()=>{this._update_model(s,t)}));n.observe(s,{attributes:!0}),this._mutation_observers.push(n)}}_remove_event_listeners(){const e=this.model.data.id;for(const t in this._event_listeners){const s=document.getElementById(`${t}-${e}`);if(null!=s)for(const e in this._event_listeners[t]){const n=this._event_listeners[t][e];s.removeEventListener(e,n)}}this._event_listeners={}}_setup_event_listeners(){const e=this.model.data.id;for(const t in this.model.events){const s=document.getElementById(`${t}-${e}`);if(null==s){console.warn(`DOM node '${t}-${e}' could not be found. Cannot subscribe to DOM events.`);continue}const n=this.model.events[t];for(const e in n){const i=i=>{this._send_event(t,e,i),t in this.model.attrs&&n[e]&&this._update_model(s,t)};s.addEventListener(e,i),t in this._event_listeners||(this._event_listeners[t]={}),this._event_listeners[t][e]=i}}}_update(e=null){if(null==e||this.html.indexOf(`\\${${e}}`)>-1){const e=this._render_html(this.html);try{this._changing=!0,(0,o.render)(e,this.el)}finally{this._changing=!1}}}_update_model(e,t){if(this._changing)return;const s={};for(const n of this.model.attrs[t]){const[i,o,l]=n;let r=\"children\"===i?e.innerHTML:e[i];if(1===o.length&&`{${o[0]}}`===l)s[o[0]]=r;else if(\"string\"==typeof r)if(r=v(l,r,o),null==r)console.warn(`Could not resolve parameters in ${t} element ${i} attribute value ${r}.`);else for(const e in r)void 0===r[e]?console.warn(`Could not resolve ${e} in ${t} element ${i} attribute value ${r}.`):s[e]=r[e]}try{this._changing=!0,this.model.data.setv(function(e){const t={};for(const s in e){let n=e[s];\"string\"!=typeof n?n=n:\"\"===n||\"NaN\"!==n&&isNaN(Number(n))?\"false\"!==n&&\"true\"!==n||(n=\"true\"===n):n=Number(n),t[s]=n}return t}(s))}catch(e){console.log(\"Could not serialize\",s)}finally{this._changing=!1}}}s.ReactiveHTMLView=g,g.__name__=\"ReactiveHTMLView\";class $ extends d.HTMLBox{constructor(e){super(e)}static init_ReactiveHTML(){this.prototype.default_view=g,this.define((({Array:e,Any:t,String:s})=>({attrs:[t,{}],callbacks:[t,{}],children:[t,{}],data:[t],events:[t,{}],html:[s,\"\"],looped:[e(s),[]],nodes:[e(s),[]],scripts:[t,{}]})))}}s.ReactiveHTML=$,$.__name__=\"ReactiveHTML\",$.__module__=\"panel.models.reactive_html\",$.init_ReactiveHTML()},\n      \"ab54efe08a\": function _(e,t,s,i,n){i();const l=e(\"tslib\"),o=e(\"@bokehjs/core/dom\"),c=e(\"@bokehjs/core/util/types\"),r=e(\"@bokehjs/models/widgets/input_widget\"),d=(0,l.__importStar)(e(\"@bokehjs/styles/widgets/inputs.css\"));class h extends r.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.disabled_options.change,(()=>this.render())),this.connect(this.model.properties.name.change,(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.render())),this.connect(this.model.properties.size.change,(()=>this.render())),this.connect(this.model.properties.disabled.change,(()=>this.render()))}render(){super.render();const e=this.model.options.map((e=>{let t,s;(0,c.isString)(e)?t=s=e:[t,s]=e;let i=this.model.disabled_options.includes(t);return(0,o.option)({value:t,disabled:i},s)}));this.select_el=(0,o.select)({multiple:!1,class:d.input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.style.backgroundImage=\"none\",this.select_el.addEventListener(\"change\",(()=>this.change_input())),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=this.model.value;for(const t of this.el.querySelectorAll(\"option\"))t.value===e&&(t.selected=!0);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\");let t=null;for(const e of this.el.querySelectorAll(\"option\"))if(e.selected){t=e.value;break}this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.SingleSelectView=h,h.__name__=\"SingleSelectView\";class a extends r.InputWidget{constructor(e){super(e)}static init_SingleSelect(){this.prototype.default_view=h,this.define((({Any:e,Array:t,Int:s,String:i})=>({disabled_options:[t(i),[]],options:[t(e),[]],size:[s,4],value:[i,\"\"]})))}}s.SingleSelect=a,a.__name__=\"SingleSelect\",a.__module__=\"panel.models.widgets\",a.init_SingleSelect()},\n      \"a96be0bcc9\": function _(t,e,i,o,n){o();const s=t(\"@bokehjs/models/layouts/html_box\"),r=\"Click to START the speech recognition.\",{webkitSpeechRecognition:h}=window,{webkitSpeechGrammarList:l}=window;class a extends s.HTMLBoxView{initialize(){var t,e;super.initialize(),this.recognition=new h,this.recognition.lang=this.model.lang,this.recognition.continuous=this.model.continuous,this.recognition.interimResults=this.model.interim_results,this.recognition.maxAlternatives=this.model.max_alternatives,this.recognition.serviceURI=this.model.service_uri,this.setGrammars(),this.recognition.onresult=t=>{this.model.results=function(t){const e=[];for(let o of t){let t=[],n={is_final:o.isFinal,alternatives:t};for(let e=0;e<o.length;e++){let n={confidence:(i=o[e].confidence,Math.round(100*(i+Number.EPSILON))/100),transcript:o[e].transcript};t.push(n)}n.alternatives=t,e.push(n)}var i;return e}(t.results)},this.recognition.onerror=t=>{console.log(\"SpeechToText Error\"),console.log(t)},this.recognition.onnomatch=t=>{console.log(\"SpeechToText No Match\"),console.log(t)},this.recognition.onaudiostart=()=>this.model.audio_started=!0,this.recognition.onaudioend=()=>this.model.audio_started=!1,this.recognition.onsoundstart=()=>this.model.sound_started=!0,this.recognition.onsoundend=()=>this.model.sound_started=!1,this.recognition.onspeechstart=()=>this.model.speech_started=!0,this.recognition.onspeechend=()=>this.model.speech_started=!1,this.recognition.onstart=()=>{this.buttonEl.onclick=()=>{this.recognition.stop()},this.buttonEl.innerHTML=this.iconStarted(),this.buttonEl.setAttribute(\"title\",\"Click to STOP the speech recognition.\"),this.model.started=!0},this.recognition.onend=()=>{this.buttonEl.onclick=()=>{this.recognition.start()},this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.setAttribute(\"title\",r),this.model.started=!1},this.buttonEl=(t=`<button class=\"bk bk-btn bk-btn-${this.model.button_type}\" type=\"button\" title=\"${r}\"></button>`,e=document.createElement(\"template\"),t=t.trim(),e.innerHTML=t,e.content.firstChild),this.buttonEl.innerHTML=this.iconNotStarted(),this.buttonEl.onclick=()=>this.recognition.start()}iconStarted(){return\"\"!==this.model.button_started?this.model.button_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic\" viewBox=\"0 0 16 16\">\\n  <path fill-rule=\"evenodd\" d=\"M3.5 6.5A.5.5 0 0 1 4 7v1a4 4 0 0 0 8 0V7a.5.5 0 0 1 1 0v1a5 5 0 0 1-4.5 4.975V15h3a.5.5 0 0 1 0 1h-7a.5.5 0 0 1 0-1h3v-2.025A5 5 0 0 1 3 8V7a.5.5 0 0 1 .5-.5z\"/>\\n  <path fill-rule=\"evenodd\" d=\"M10 8V3a2 2 0 1 0-4 0v5a2 2 0 1 0 4 0zM8 0a3 3 0 0 0-3 3v5a3 3 0 0 0 6 0V3a3 3 0 0 0-3-3z\"/>\\n</svg>'}iconNotStarted(){return\"\"!==this.model.button_not_started?this.model.button_not_started:'<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"22px\" style=\"vertical-align: middle;\" fill=\"currentColor\" class=\"bi bi-mic-mute\" viewBox=\"0 0 16 16\">\\n<path fill-rule=\"evenodd\" d=\"M12.734 9.613A4.995 4.995 0 0 0 13 8V7a.5.5 0 0 0-1 0v1c0 .274-.027.54-.08.799l.814.814zm-2.522 1.72A4 4 0 0 1 4 8V7a.5.5 0 0 0-1 0v1a5 5 0 0 0 4.5 4.975V15h-3a.5.5 0 0 0 0 1h7a.5.5 0 0 0 0-1h-3v-2.025a4.973 4.973 0 0 0 2.43-.923l-.718-.719zM11 7.88V3a3 3 0 0 0-5.842-.963l.845.845A2 2 0 0 1 10 3v3.879l1 1zM8.738 9.86l.748.748A3 3 0 0 1 5 8V6.121l1 1V8a2 2 0 0 0 2.738 1.86zm4.908 3.494l-12-12 .708-.708 12 12-.708.707z\"/>\\n</svg>'}setIcon(){this.model.started?this.buttonEl.innerHTML=this.iconStarted():this.buttonEl.innerHTML=this.iconNotStarted()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.start.change,(()=>{this.model.start=!1,this.recognition.start()})),this.connect(this.model.properties.stop.change,(()=>{this.model.stop=!1,this.recognition.stop()})),this.connect(this.model.properties.abort.change,(()=>{this.model.abort=!1,this.recognition.abort()})),this.connect(this.model.properties.grammars.change,(()=>this.setGrammars())),this.connect(this.model.properties.lang.change,(()=>this.recognition.lang=this.model.lang)),this.connect(this.model.properties.continuous.change,(()=>this.recognition.continuous=this.model.continuous)),this.connect(this.model.properties.interim_results.change,(()=>this.recognition.interimResults=this.model.interim_results)),this.connect(this.model.properties.max_alternatives.change,(()=>this.recognition.maxAlternatives=this.model.max_alternatives)),this.connect(this.model.properties.service_uri.change,(()=>this.recognition.serviceURI=this.model.service_uri)),this.connect(this.model.properties.button_type.change,(()=>this.buttonEl.className=`bk bk-btn bk-btn-${this.model.button_type}`)),this.connect(this.model.properties.button_hide.change,(()=>this.render()));const{button_not_started:t,button_started:e}=this.model.properties;this.on_change([t,e],(()=>this.setIcon()))}setGrammars(){this.recognition.grammars=function(t){if(t){var e=new l;for(let i of t)i.src?e.addFromString(i.src,i.weight):i.uri&&e.addFromURI(i.uri,i.weight);return e}return null}(this.model.grammars)}render(){super.render(),this.model.button_hide||this.el.appendChild(this.buttonEl)}}i.SpeechToTextView=a,a.__name__=\"SpeechToTextView\";class c extends s.HTMLBox{constructor(t){super(t)}static init_SpeechToText(){this.prototype.default_view=a,this.define((({Array:t,Boolean:e,Number:i,String:o})=>({start:[e,!1],stop:[e,!1],abort:[e,!1],grammars:[t(o),[]],lang:[o,\"\"],continuous:[e,!1],interim_results:[e,!1],max_alternatives:[i,1],service_uri:[o],started:[e,!1],audio_started:[e,!1],sound_started:[e,!1],speech_started:[e,!1],button_type:[o,\"light\"],button_hide:[e,!1],button_not_started:[o,\"\"],button_started:[o,\"\"],results:[t(o),[]]})))}}i.SpeechToText=c,c.__name__=\"SpeechToText\",c.__module__=\"panel.models.speech_to_text\",c.init_SpeechToText()},\n      \"bfa46a5f19\": function _(e,t,s,a,i){a();const o=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/core/util/array\"),n=e(\"@bokehjs/model\"),h=e(\"@bokehjs/protocol/receiver\");class _ extends o.View{renderTo(){}}s.StateView=_,_.__name__=\"StateView\";class r extends n.Model{constructor(e){super(e),this._receiver=new h.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let a=this.state;for(const e of this.values)a=a[e];a===t?this.apply_state(s):this._cache[a]&&this.apply_state(this._cache[a])}set_state(e,t){let s=(0,c.copy)(this.values);s[this.widgets[e.id]]=t;let a=this.state;for(const e of s)a=a[e];var i,o,n;this.values=s,this.json?this._cache[a]?this.apply_state(this._cache[a]):(i=a,o=e=>this._receive_json(e,a),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",i,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&o(n.responseText)},n.send(null)):this.apply_state(a)}static init_State(){this.prototype.default_view=_,this.define((({Any:e,Boolean:t})=>({json:[t,!1],state:[e,{}],widgets:[e,{}],values:[e,[]]})))}}s.State=r,r.__name__=\"State\",r.__module__=\"panel.models.state\",r.init_State()},\n      \"f693d9aa84\": function _(e,t,s,i,l){i();const h=e(\"tslib\"),a=e(\"@bokehjs/core/layout\"),o=e(\"@bokehjs/core/dom\"),d=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/models/layouts/tabs\"),r=e(\"@bokehjs/models/layouts/layout_dom\"),n=(0,h.__importStar)(e(\"@bokehjs/styles/tabs.css\")),_=(0,h.__importStar)(e(\"@bokehjs/styles/buttons.css\")),p=(0,h.__importStar)(e(\"@bokehjs/styles/menus.css\"));function b(e){e.style.visibility=\"\",e.style.opacity=\"\"}function u(e){e.style.visibility=\"hidden\",e.style.opacity=\"0\"}class m extends c.TabsView{connect_signals(){super.connect_signals();let e=this;for(;null!=e;)e.model.type.endsWith(\"Tabs\")&&e.connect(e.model.properties.active.change,(()=>this.update_zindex())),e=e.parent||e._parent}get is_visible(){let e=this.parent,t=this;for(;null!=e;){if(e.model.type.endsWith(\"Tabs\")&&e.child_views.indexOf(t)!==e.model.active)return!1;t=e,e=e.parent||e._parent}return!0}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const l=(0,o.size)(s),h=(0,o.children)(i).slice(0,3).map((e=>(0,o.size)(e))),{width:a,height:c}=super._measure(e);if(t){const t=l.width+(0,d.sum)(h.map((e=>e.width)));return{width:e.width!=1/0?e.width:t,height:c}}{const t=l.height+(0,d.sum)(h.map((e=>e.height)));return{width:a,height:e.height!=1/0?e.height:t}}}}(this.header_el);let{width_policy:l,height_policy:h}=this.model;\"auto\"==l&&(l=this._width_policy()),\"auto\"==h&&(h=this._height_policy());const{sizing_mode:c}=this.model;null!=c&&(\"fixed\"==c?l=h=\"fixed\":\"stretch_both\"==c?l=h=\"max\":\"stretch_width\"==c?l=\"max\":\"stretch_height\"==c&&(h=\"max\")),t?this.header.set_sizing({width_policy:l,height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:h});let r=1,n=1;switch(e){case\"above\":r-=1;break;case\"below\":r+=1;break;case\"left\":n-=1;break;case\"right\":n+=1}const _={layout:this.header,row:r,col:n},p=this.child_views.map((e=>({layout:e.layout,row:1,col:1})));this.layout=new a.Grid([_,...p]),this.layout.set_sizing(this.box_sizing())}update_zindex(){const{child_views:e}=this;for(const t of e)null!=t&&null!=t.el&&(t.el.style.zIndex=\"\");if(this.is_visible){const t=e[this.model.active];null!=t&&null!=t.el&&(t.el.style.zIndex=\"1\")}}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",(0,o.position)(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=(0,o.size)(this.scroll_el),i=(0,o.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,o.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.headers_el.style.left=\"0px\",this.wrapper_el.style.maxWidth=\"\",(0,o.undisplay)(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",(0,o.display)(this.scroll_el),this.do_scroll(this.model.active)):(this.headers_el.style.top=\"0px\",this.wrapper_el.style.maxHeight=\"\",(0,o.undisplay)(this.scroll_el))}const{child_views:l}=this;for(const e of l)u(e.el),e.el.style.removeProperty(\"zIndex\");const h=l[this.model.active];null!=h&&b(h.el)}render(){r.LayoutDOMView.prototype.render.call(this);let{active:e}=this.model;const t=this.model.tabs.map(((t,s)=>{const i=(0,o.div)({class:[n.tab,s==e?n.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,o.div)({class:n.close});e.addEventListener(\"click\",(e=>{if(e.target==e.currentTarget){this.model.tabs=(0,d.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(n.disabled),i}));this.headers_el=(0,o.div)({class:[n.headers]},t),this.wrapper_el=(0,o.div)({class:n.headers_wrapper},this.headers_el),this.left_el=(0,o.div)({class:[_.btn,_.btn_default],disabled:\"\"},(0,o.div)({class:[p.caret,n.left]})),this.right_el=(0,o.div)({class:[_.btn,_.btn_default]},(0,o.div)({class:[p.caret,n.right]})),this.left_el.addEventListener(\"click\",(()=>this.do_scroll(\"left\"))),this.right_el.addEventListener(\"click\",(()=>this.do_scroll(\"right\"))),this.scroll_el=(0,o.div)({class:_.btn_group},this.left_el,this.right_el);const s=this.model.tabs_location;this.header_el=(0,o.div)({class:[n.tabs_header,n[s]]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el),this.update_zindex(),-1===e&&this.model.tabs.length&&(this.model.active=0)}on_active_change(){const e=this.model.active,t=(0,o.children)(this.headers_el);for(const e of t)e.classList.remove(n.active);t[e].classList.add(n.active);const{child_views:s}=this;for(const e of s)u(e.el);b(s[e].el)}}s.TabsView=m,m.__name__=\"TabsView\";class y extends c.Tabs{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=m,this.define((({})=>({})))}}s.Tabs=y,y.__name__=\"Tabs\",y.__module__=\"panel.models.tabs\",y.init_Tabs()},\n      \"3ea011fa55\": function _(e,t,i,n,s){n();const r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/core/bokeh_events\"),a=e(\"4c755983eb\");class h extends l.ModelEvent{constructor(e){super(),this.key=e,this.event_name=\"keystroke\"}_to_json(){return{model:this.origin,key:this.key}}}i.KeystrokeEvent=h,h.__name__=\"KeystrokeEvent\";class d extends a.PanelHTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.output.change,this.write),this.connect(this.model.properties._clears.change,this.clear)}render(){super.render(),this.container=(0,o.div)({class:\"terminal-container\"}),(0,a.set_size)(this.container,this.model),this.term=this.getNewTerminal(),this.term.onData((e=>{this.handleOnData(e)})),this.webLinksAddon=this.getNewWebLinksAddon(),this.term.loadAddon(this.webLinksAddon),this.term.open(this.container),this.term.onRender((()=>{this._rendered||this.fit()})),this.write(),this.el.appendChild(this.container)}getNewTerminal(){const e=window;return e.Terminal?new e.Terminal(this.model.options):new e.xtermjs.Terminal(this.model.options)}getNewWebLinksAddon(){return new window.WebLinksAddon.WebLinksAddon}handleOnData(e){this.model.trigger_event(new h(e))}write(){const e=this.model.output;if(null==e||!e.length)return;const t=e.replace(/\\r?\\n/g,\"\\r\\n\");this.term.write(t)}clear(){this.term.clear()}fit(){const e=this.box_sizing(),t=null==e.margin?0:e.margin.top+e.margin.bottom,i=null==e.margin?0:e.margin.left+e.margin.right,n=(this.layout.inner_bbox.width||this.model.width||0)-i,s=(this.layout.inner_bbox.height||this.model.height||0)-t,r=this.term._core._renderService,o=r.dimensions.actualCellWidth||9,l=r.dimensions.actualCellHeight||18;if(null==n||null==s||n<=0||s<=0)return;const a=Math.max(2,Math.floor(n/o)),h=Math.max(1,Math.floor(s/l));this.term.rows===h&&this.term.cols===a||this.term.resize(a,h),this.model.ncols=a,this.model.nrows=h,this._rendered=!0}after_layout(){super.after_layout(),this.fit()}resize_layout(){super.resize_layout(),this.fit()}}i.TerminalView=d,d.__name__=\"TerminalView\";class m extends r.HTMLBox{constructor(e){super(e)}static init_Terminal(){this.prototype.default_view=d,this.define((({Any:e,Int:t,String:i})=>({_clears:[t,0],options:[e,{}],output:[i],ncols:[t],nrows:[t]})))}}i.Terminal=m,m.__name__=\"Terminal\",m.__module__=\"panel.models.terminal\",m.init_Terminal()},\n      \"33cd2c254e\": function _(e,s,i,t,n){t();const h=e(\"@bokehjs/models/layouts/html_box\");function o(e){var s=[];for(let t of e){var i={default:t.default,lang:t.lang,local_service:t.localService,name:t.name,voice_uri:t.voiceURI};s.push(i)}return s}class c extends h.HTMLBoxView{initialize(){super.initialize(),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending,this.model.speaking=speechSynthesis.speaking,this._callback=window.setInterval((function(){!speechSynthesis.paused&&speechSynthesis.speaking&&window.speechSynthesis.resume()}),1e4);const e=()=>{\"undefined\"!=typeof speechSynthesis&&(this.voices=speechSynthesis.getVoices(),this.voices&&(this.model.voices=o(this.voices)))};e(),\"undefined\"!=typeof speechSynthesis&&void 0!==speechSynthesis.onvoiceschanged&&(speechSynthesis.onvoiceschanged=e)}remove(){null!=this._callback&&clearInterval(this._callback),speechSynthesis.cancel(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.speak.change,(()=>{this.speak()})),this.connect(this.model.properties.pause.change,(()=>{this.model.pause=!1,speechSynthesis.pause()})),this.connect(this.model.properties.resume.change,(()=>{this.model.resume=!1,speechSynthesis.resume()})),this.connect(this.model.properties.cancel.change,(()=>{this.model.cancel=!1,speechSynthesis.cancel()}))}speak(){let e=new SpeechSynthesisUtterance(this.model.speak.text);if(e.pitch=this.model.speak.pitch,e.volume=this.model.speak.volume,e.rate=this.model.speak.rate,this.model.voices)for(let s of this.voices)s.name===this.model.speak.voice&&(e.voice=s);e.onpause=()=>this.model.paused=!0,e.onstart=()=>{this.model.speaking=!0,this.model.paused=!1,this.model.pending=speechSynthesis.pending},e.onresume=()=>this.model.paused=!1,e.onend=()=>{this.model.speaking=!1,this.model.paused=!1,this.model.pending=speechSynthesis.pending},speechSynthesis.speak(e),this.model.paused=speechSynthesis.paused,this.model.pending=speechSynthesis.pending}render(){super.render(),this.model.voices||(this.model.voices=o(this.voices)),null!=this.model.speak&&this.model.speak.text&&this.speak()}}i.TextToSpeechView=c,c.__name__=\"TextToSpeechView\";class p extends h.HTMLBox{constructor(e){super(e)}static init_TextToSpeech(){this.prototype.default_view=c,this.define((({Any:e,Array:s,Boolean:i})=>({paused:[i,!1],pending:[i,!1],speaking:[i,!1],voices:[s(e),[]],cancel:[i,!1],pause:[i,!1],resume:[i,!1],speak:[e,{}]})))}}i.TextToSpeech=p,p.__name__=\"TextToSpeech\",p.__module__=\"panel.models.text_to_speech\",p.init_TextToSpeech()},\n      \"effe070807\": function _(t,e,i,l,o){l();const s=t(\"@bokehjs/models/layouts/html_box\"),h=t(\"@bokehjs/core/build_views\"),a=t(\"@bokehjs/models/plots\"),n=t(\"@bokehjs/models/glyphs\"),d=t(\"@bokehjs/core/dom\"),r=t(\"@bokehjs/models/sources/column_data_source\"),c=t(\"@bokehjs/models/formatters\");class p extends s.HTMLBoxView{initialize(){super.initialize(),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%;\"}),this.titleDiv=(0,d.div)({style:\"font-size: 1em; word-wrap: break-word;\"}),this.valueDiv=(0,d.div)({style:\"font-size: 2em\"}),this.value2Div=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.changeDiv=(0,d.div)({style:\"font-size: 1em; opacity: 0.5; display: inline\"}),this.textDiv=(0,d.div)({},this.titleDiv,this.valueDiv,(0,d.div)({},this.changeDiv,this.value2Div)),this.updateTitle(),this.updateValue(),this.updateValue2(),this.updateValueChange(),this.updateTextFontSize(),this.plotDiv=(0,d.div)({}),this.containerDiv=(0,d.div)({style:\"height:100%; width:100%\"},this.textDiv,this.plotDiv),this.updateLayout()}connect_signals(){super.connect_signals();const{pos_color:t,neg_color:e}=this.model.properties;this.on_change([t,e],(()=>this.updateValueChange()));const{plot_color:i,plot_type:l,width:o,height:s,sizing_mode:h}=this.model.properties;this.on_change([i,l,o,s,h],(()=>this.render())),this.connect(this.model.properties.title.change,(()=>this.updateTitle(!0))),this.connect(this.model.properties.value.change,(()=>this.updateValue(!0))),this.connect(this.model.properties.value_change.change,(()=>this.updateValue2(!0))),this.connect(this.model.properties.layout.change,(()=>this.updateLayout()))}async render(){super.render(),this.el.appendChild(this.containerDiv),await this.setPlot()}async setPlot(){this.plot=new a.Plot({background_fill_color:null,border_fill_color:null,outline_line_color:null,min_border:0,sizing_mode:\"stretch_both\",toolbar_location:null});var t=this.model.source;if(\"line\"===this.model.plot_type){var e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:4,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else if(\"step\"===this.model.plot_type){var i=new n.Step({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(i,t)}else if(\"area\"===this.model.plot_type){var l=new n.VArea({x:{field:this.model.plot_x},y1:{field:this.model.plot_y},y2:0,fill_color:this.model.plot_color,fill_alpha:.5});this.plot.add_glyph(l,t);e=new n.Line({x:{field:this.model.plot_x},y:{field:this.model.plot_y},line_width:3,line_color:this.model.plot_color});this.plot.add_glyph(e,t)}else{var o=new n.VBar({x:{field:this.model.plot_x},top:{field:this.model.plot_y},width:.9,line_color:null,fill_color:this.model.plot_color});this.plot.add_glyph(o,t)}const s=await(0,h.build_view)(this.plot);this.plotDiv.innerHTML=\"\",s.renderTo(this.plotDiv)}after_layout(){super.after_layout(),this.updateTextFontSize()}updateTextFontSize(){this.updateTextFontSizeColumn()}updateTextFontSizeColumn(){let t=this.containerDiv.clientWidth,e=this.containerDiv.clientHeight;\"column\"===this.model.layout?e=Math.round(e/2):t=Math.round(t/2);const i=t/this.model.title.length*2,l=t/(2*this._value_format.length)*1.8,o=t/(this._value_change_format.length+1)*2,s=e/6,h=Math.min(i,l,o,s);this.textDiv.style.fontSize=Math.trunc(h)+\"px\",this.textDiv.style.lineHeight=\"1.3\"}updateTitle(t=!1){this.titleDiv.innerText=this.model.title,t&&this.updateTextFontSize()}updateValue(t=!1){this._value_format=this.model.formatter.doFormat([this.model.value],{loc:0})[0],this.valueDiv.innerText=this._value_format,t&&this.updateTextFontSize()}updateValue2(t=!1){this._value_change_format=this.model.change_formatter.doFormat([this.model.value_change],{loc:0})[0],this.value2Div.innerText=this._value_change_format,this.updateValueChange(),t&&this.updateTextFontSize()}updateValueChange(){this.model.value_change>0?(this.changeDiv.innerHTML=\"&#9650;\",this.changeDiv.style.color=this.model.pos_color):this.model.value_change<0?(this.changeDiv.innerHTML=\"&#9660;\",this.changeDiv.style.color=this.model.neg_color):(this.changeDiv.innerHTML=\"&nbsp;\",this.changeDiv.style.color=\"inherit\")}updateLayout(){\"column\"===this.model.layout?(this.containerDiv.style.display=\"block\",this.textDiv.style.height=\"50%\",this.textDiv.style.width=\"100%\",this.plotDiv.style.height=\"50%\",this.plotDiv.style.width=\"100%\"):(this.containerDiv.style.display=\"flex\",this.textDiv.style.height=\"100%\",this.textDiv.style.width=\"\",this.plotDiv.style.height=\"100%\",this.plotDiv.style.width=\"\",this.textDiv.style.flex=\"1\",this.plotDiv.style.flex=\"1\"),this._has_finished&&this.invalidate_layout()}}i.TrendIndicatorView=p,p.__name__=\"TrendIndicatorView\";class _ extends s.HTMLBox{constructor(t){super(t)}static init_TrendIndicator(){this.prototype.default_view=p,this.define((({Number:t,String:e,Ref:i})=>({description:[e,\"\"],formatter:[i(c.TickFormatter),()=>new c.BasicTickFormatter],change_formatter:[i(c.TickFormatter),()=>new c.NumeralTickFormatter],layout:[e,\"column\"],source:[i(r.ColumnDataSource)],plot_x:[e,\"x\"],plot_y:[e,\"y\"],plot_color:[e,\"#428bca\"],plot_type:[e,\"bar\"],pos_color:[e,\"#5cb85c\"],neg_color:[e,\"#d9534f\"],title:[e,\"\"],value:[t,0],value_change:[t,0]})))}}i.TrendIndicator=_,_.__name__=\"TrendIndicator\",_.__module__=\"panel.models.trend\",_.init_TrendIndicator()},\n      \"fea356270f\": function _(t,e,s,o,i){o();const a=t(\"@bokehjs/core/bokeh_events\"),n=t(\"@bokehjs/core/util/types\"),h=t(\"@bokehjs/models/layouts/html_box\"),c=t(\"99a25e6992\");class _ extends a.ModelEvent{constructor(t){super(),this.data=t,this.event_name=\"vega_event\"}_to_json(){return{model:this.origin,data:this.data}}}s.VegaEvent=_,_.__name__=\"VegaEvent\";class d extends h.HTMLBoxView{connect_signals(){super.connect_signals();const{data:t,show_actions:e,theme:s}=this.model.properties;this.on_change([t,e,s],(()=>{this._plot()})),this.connect(this.model.properties.data_sources.change,(()=>this._connect_sources())),this.connect(this.model.properties.events.change,(()=>{for(const t of this.model.events){if(this._callbacks.indexOf(t)>-1)continue;this._callbacks.push(t);const e=(t,e)=>this._dispatch_event(t,e),s=this.model.throttle[t]||20;this.vega_view.addSignalListener(t,(0,c.debounce)(e,s,!1))}})),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_dispatch_event(t,e){if(\"vlPoint\"in e&&null!=e.vlPoint.or){const t=[];for(const s of e.vlPoint.or)t.push(s._vgsid_);e=t}this.model.trigger_event(new _({type:t,value:e}))}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],i=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of i)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._callbacks=[],this._plot()}_plot(){const t=this.model.data;if(null==t||!window.vegaEmbed)return;if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=(0,n.isArray)(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}const e={actions:this.model.show_actions,theme:this.model.theme};window.vegaEmbed(this.el,this.model.data,e).then((t=>{this.vega_view=t.view,this.relayout(),(this.vega_view._viewHeight<=0||this.vega_view._viewWidth<=0)&&window.dispatchEvent(new Event(\"resize\"));const e=(t,e)=>this._dispatch_event(t,e);for(const t of this.model.events){this._callbacks.push(t);const s=this.model.throttle[t]||20;this.vega_view.addSignalListener(t,(0,c.debounce)(e,s,!1))}}))}relayout(){this.update_layout(),this.compute_layout(),this.root!==this?this.invalidate_layout():null!=this._parent&&this._parent.invalidate_layout()}box_sizing(){const t=super.box_sizing();return null!=this.vega_view&&(\"fixed\"===t.height_policy&&(t.height=this.vega_view._viewHeight),\"fixed\"===t.width_policy&&(t.width=this.vega_view._viewWidth)),t}}s.VegaPlotView=d,d.__name__=\"VegaPlotView\";class l extends h.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=d,this.define((({Any:t,Array:e,Boolean:s,String:o})=>({data:[t,{}],data_sources:[t,{}],events:[e(o),[]],show_actions:[s,!1],theme:[o],throttle:[t,{}]})))}}s.VegaPlot=l,l.__name__=\"VegaPlot\",l.__module__=\"panel.models.vega\",l.init_VegaPlot()},\n      \"1b46fd56a8\": function _(e,t,i,o,s){o();const l=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"4c755983eb\");class h extends d.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,(()=>this.set_loop())),this.connect(this.model.properties.paused.change,(()=>this.set_paused())),this.connect(this.model.properties.muted.change,(()=>this.set_muted())),this.connect(this.model.properties.autoplay.change,(()=>this.set_autoplay())),this.connect(this.model.properties.time.change,(()=>this.set_time())),this.connect(this.model.properties.value.change,(()=>this.set_value())),this.connect(this.model.properties.volume.change,(()=>this.set_volume()))}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,this.videoEl.muted=this.model.muted,this.videoEl.autoplay=this.model.autoplay,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_muted(){this.videoEl.muted=this.model.muted}set_autoplay(){this.videoEl.autoplay=this.model.autoplay}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}i.VideoView=h,h.__name__=\"VideoView\";class m extends l.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=h,this.define((({Any:e,Boolean:t,Int:i,Number:o})=>({loop:[t,!1],paused:[t,!0],muted:[t,!1],autoplay:[t,!1],time:[o,0],throttle:[i,250],value:[e,\"\"],volume:[i]})))}}i.Video=m,m.__name__=\"Video\",m.__module__=\"panel.models.widgets\",m.init_Video()},\n      \"e3e9b8e495\": function _(e,t,i,s,o){s();const h=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"4c755983eb\");class a extends l.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,(()=>this.set_timeout())),this.connect(this.model.properties.snapshot.change,(()=>this.snapshot())),this.connect(this.model.properties.paused.change,(()=>this.pause()))}pause(){this.model.paused?(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()):this.videoEl.play(),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),null!=this.model.timeout&&this.model.timeout>0&&(this.timer=setInterval((()=>this.snapshot()),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then((e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()})).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class n extends h.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define((({Any:e,Boolean:t,Int:i,Nullable:s,String:o})=>({format:[o,\"png\"],paused:[t,!1],snapshot:[t,!1],timeout:[s(i),null],value:[e]}))),this.override({height:240,width:320})}}i.VideoStream=n,n.__name__=\"VideoStream\",n.__module__=\"panel.models.widgets\",n.init_VideoStream()},\n      \"c51f25e2a7\": function _(o,V,l,K,T){K(),T(\"VTKJSPlot\",o(\"b6d9199d03\").VTKJSPlot),T(\"VTKVolumePlot\",o(\"7785475bdd\").VTKVolumePlot),T(\"VTKAxes\",o(\"ab478186ba\").VTKAxes),T(\"VTKSynchronizedPlot\",o(\"0a57062475\").VTKSynchronizedPlot)},\n      \"b6d9199d03\": function _(e,t,n,i,s){i();const a=e(\"e13c143c7d\"),r=e(\"993f3118b2\");class _ extends a.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this.invalidate_render()}))}render(){super.render(),this._create_orientation_widget(),this._set_axes()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=r.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=r.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=r.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),i=window.vtk.macro.debounce((()=>setTimeout((()=>{null==this._axes&&this.model.axes&&this._set_axes(),this._set_camera_state(),this._get_camera_state()}),100)),100);n.setUrl(\"index.json\"),n.onReady(i)}})}}n.VTKJSPlotView=_,_.__name__=\"VTKJSPlotView\";class o extends a.AbstractVTKPlot{static init_VTKJSPlot(){this.prototype.default_view=_,this.define((({Boolean:e,Nullable:t,String:n})=>({data:[t(n)],enable_keybindings:[e,!1]})))}}n.VTKJSPlot=o,o.__name__=\"VTKJSPlot\",o.init_VTKJSPlot()},\n      \"e13c143c7d\": function _(e,t,i,n,s){n();const a=e(\"@bokehjs/core/dom\"),r=e(\"@bokehjs/models/layouts/html_box\"),o=e(\"@bokehjs/core/util/object\"),_=e(\"@bokehjs/models/mappers/color_mapper\"),d=e(\"@bokehjs/core/kinds\"),h=e(\"4c755983eb\"),c=e(\"993f3118b2\"),l=e(\"c010237f8b\"),g=e(\"ab478186ba\"),p={padding:\"0px 2px 0px 2px\",maxHeight:\"150px\",height:\"auto\",backgroundColor:\"rgba(255, 255, 255, 0.4)\",borderRadius:\"10px\",margin:\"2px\",boxSizing:\"border-box\",overflow:\"hidden\",overflowY:\"auto\",transition:\"width 0.1s linear\",bottom:\"0px\",position:\"absolute\"},m=(0,d.Enum)(\"LowerLeft\",\"LowerRight\",\"UpperLeft\",\"UpperRight\",\"LowerEdge\",\"RightEdge\",\"LeftEdge\",\"UpperEdge\");class v extends h.PanelHTMLBoxView{initialize(){super.initialize(),this._camera_callbacks=[],this._renderable=!0,this._setting_camera=!1}_add_colorbars(){const e=this.el.querySelector(\".vtk_info\");if(e&&this.el.removeChild(e),this.model.color_mappers.length<1)return;const t=document.createElement(\"div\"),i=\"350px\",n=\"30px\";t.classList.add(\"vtk_info\"),(0,c.applyStyle)(t,p),(0,c.applyStyle)(t,{width:i}),this.el.appendChild(t);const s=[];this.model.color_mappers.forEach((e=>{const i=new l.VTKColorBar(t,e);s.push(i)}));const a=document.createElement(\"div\");(0,c.applyStyle)(a,{textAlign:\"center\",fontSize:\"20px\"}),a.innerText=\"...\",t.addEventListener(\"click\",(()=>{t.style.width===n?(t.removeChild(a),(0,c.applyStyle)(t,{height:\"auto\",width:i}),s.forEach((e=>t.appendChild(e.canvas)))):(s.forEach((e=>t.removeChild(e.canvas))),(0,c.applyStyle)(t,{height:n,width:n}),t.appendChild(a))})),t.click()}_init_annotations_container(){this._annotations_container||(this._annotations_container=document.createElement(\"div\"),this._annotations_container.style.position=\"absolute\",this._annotations_container.style.width=\"100%\",this._annotations_container.style.height=\"100%\",this._annotations_container.style.top=\"0\",this._annotations_container.style.left=\"0\",this._annotations_container.style.pointerEvents=\"none\")}_clean_annotations(){if(this._annotations_container)for(;this._annotations_container.firstElementChild;)this._annotations_container.firstElementChild.remove()}_add_annotations(){this._clean_annotations();const{annotations:e}=this.model;if(null!=e)for(let t of e){const{viewport:e,color:i,fontSize:n,fontFamily:s}=t;m.values.forEach((a=>{const r=t[a];if(r){const t=document.createElement(\"div\");t.textContent=r;const{style:o}=t;o.position=\"absolute\",o.color=`rgb(${i.map((e=>255*e)).join(\",\")})`,o.fontSize=`${n}px`,o.padding=\"5px\",o.fontFamily=s,o.width=\"fit-content\",\"UpperLeft\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*e[0]+\"%\"),\"UpperRight\"==a&&(o.top=100*(1-e[3])+\"%\",o.right=100*(1-e[2])+\"%\"),\"LowerLeft\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*e[0]+\"%\"),\"LowerRight\"==a&&(o.bottom=100*e[1]+\"%\",o.right=100*(1-e[2])+\"%\"),\"UpperEdge\"==a&&(o.top=100*(1-e[3])+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LowerEdge\"==a&&(o.bottom=100*e[1]+\"%\",o.left=100*(e[0]+(e[2]-e[0])/2)+\"%\",o.transform=\"translateX(-50%)\"),\"LeftEdge\"==a&&(o.left=100*e[0]+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),\"RightEdge\"==a&&(o.right=100*(1-e[2])+\"%\",o.top=100*(1-e[3]+(e[3]-e[1])/2)+\"%\",o.transform=\"translateY(-50%)\"),this._annotations_container.appendChild(t)}}))}}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.orientation_widget,(()=>{this._orientation_widget_visibility(this.model.orientation_widget)})),this.on_change(this.model.properties.camera,(()=>this._set_camera_state())),this.on_change(this.model.properties.axes,(()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_render()})),this.on_change(this.model.properties.color_mappers,(()=>this._add_colorbars())),this.on_change(this.model.properties.annotations,(()=>this._add_annotations()))}render(){super.render(),this._vtk_renwin&&this._vtk_container?((0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container)):(this._orientationWidget=null,this._axes=null,this._vtk_container=(0,a.div)(),this.init_vtk_renwin(),this._init_annotations_container(),(0,h.set_size)(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin.getInteractor().onEndAnimation((()=>this._get_camera_state())),this._remove_default_key_binding(),this._bind_key_events(),this.plot(),this._add_colorbars(),this._add_annotations(),this.model.renderer_el=this._vtk_renwin),this.el.appendChild(this._annotations_container)}after_layout(){super.after_layout(),this._renderable&&this._vtk_renwin.resize(),this._vtk_render()}invalidate_render(){this._unsubscribe_camera_cb(),super.invalidate_render()}resize_layout(){this.layout&&super.resize_layout()}remove(){this._unsubscribe_camera_cb(),window.removeEventListener(\"resize\",this._vtk_renwin.resize),null!=this._orientationWidget&&this._orientationWidget.delete(),this._vtk_renwin.getRenderWindow().getInteractor().delete(),this._vtk_renwin.delete(),super.remove()}get _vtk_camera_state(){const e=this._vtk_renwin.getRenderer().getActiveCamera();let t;return e&&(t=(0,o.clone)(e.get()),delete t.classHierarchy,delete t.vtkObject,delete t.vtkCamera,delete t.viewPlaneNormal,delete t.flattenedDepIds,delete t.managedInstanceId,delete t.directionOfProjection),t}get _axes_canvas(){let e=this._vtk_container.querySelector(\".axes-canvas\");return e||(e=(0,a.canvas)({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}}),e.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(e),this._vtk_renwin.setResizeCallback((()=>{if(this._axes_canvas){const e=this._vtk_container.getBoundingClientRect(),t=Math.floor(e.width*window.devicePixelRatio),i=Math.floor(e.height*window.devicePixelRatio);this._axes_canvas.setAttribute(\"width\",t.toFixed()),this._axes_canvas.setAttribute(\"height\",i.toFixed())}}))),e}_bind_key_events(){this.el.addEventListener(\"mouseenter\",(()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))})),this.el.addEventListener(\"mouseleave\",(()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}))}_create_orientation_widget(){const e=c.vtkns.AxesActor.newInstance();this._orientationWidget=c.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()}),this._orientationWidget.setEnabled(!0),this._orientationWidget.setViewportCorner(c.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),this._orientationWidget.setViewportSize(.15),this._orientationWidget.setMinPixelSize(75),this._orientationWidget.setMaxPixelSize(300),this.model.interactive_orientation_widget&&this._make_orientation_widget_interactive(),this._orientation_widget_visibility(this.model.orientation_widget)}_make_orientation_widget_interactive(){this._widgetManager=c.vtkns.WidgetManager.newInstance(),this._widgetManager.setRenderer(this._orientationWidget.getRenderer());const e=this._orientationWidget.getActor(),t=c.vtkns.InteractiveOrientationWidget.newInstance();t.placeWidget(e.getBounds()),t.setBounds(e.getBounds()),t.setPlaceFactor(1);this._widgetManager.addWidget(t).onOrientationChange((({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),s=t.getViewUp(),a=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*a,i[1]+e[1]*a,i[2]+e[2]*a),e[0]&&t.setViewUp((0,c.majorAxis)(s,1,2)),e[1]&&t.setViewUp((0,c.majorAxis)(s,0,2)),e[2]&&t.setViewUp((0,c.majorAxis)(s,0,1)),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._get_camera_state()}))}_delete_axes(){if(this._axes){Object.keys(this._axes).forEach((e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e]))),this._axes=null;const e=this._axes_canvas.getContext(\"2d\");e&&e.clearRect(0,0,this._axes_canvas.clientWidth*window.devicePixelRatio,this._axes_canvas.clientHeight*window.devicePixelRatio)}}_get_camera_state(){this._setting_camera||(this._setting_camera=!0,this.model.camera=this._vtk_camera_state,this._setting_camera=!1)}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),null!=this._widgetManager&&(e?this._widgetManager.enablePicking():this._widgetManager.disablePicking()),this._vtk_render()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}_set_axes(){if(this.model.axes&&this._vtk_renwin.getRenderer()){const{psActor:e,axesActor:t,gridActor:i}=this.model.axes.create_axes(this._axes_canvas);this._axes={psActor:e,axesActor:t,gridActor:i},e&&this._vtk_renwin.getRenderer().addActor(e),t&&this._vtk_renwin.getRenderer().addActor(t),i&&this._vtk_renwin.getRenderer().addActor(i)}}_set_camera_state(){this._setting_camera||void 0===this._vtk_renwin.getRenderer()||(this._setting_camera=!0,this.model.camera&&JSON.stringify(this.model.camera)!=JSON.stringify(this._vtk_camera_state)&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._setting_camera=!1)}_unsubscribe_camera_cb(){this._camera_callbacks.splice(0,this._camera_callbacks.length).map((e=>e.unsubscribe()))}_vtk_render(){this._renderable&&(this._orientationWidget&&this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render())}}i.AbstractVTKView=v,v.__name__=\"AbstractVTKView\";class w extends r.HTMLBox{constructor(e){(0,c.setup_vtkns)(),super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define((({Any:e,Ref:t,Array:i,Boolean:n,Nullable:s})=>({axes:[s(t(g.VTKAxes)),null],camera:[e],color_mappers:[i(t(_.ColorMapper)),[]],orientation_widget:[n,!1],interactive_orientation_widget:[n,!1],annotations:[s(i(e)),null]}))),this.override({height:300,width:300})}}i.AbstractVTKPlot=w,w.__name__=\"AbstractVTKPlot\",w.__module__=\"panel.models.vtk\",w.init_AbstractVTKPlot()},\n      \"993f3118b2\": function _(e,n,t,r,a){r();const o=e(\"@bokehjs/core/util/array\"),i=e(\"@bokehjs/core/kinds\");function s(){if(null!=t.vtkns.Actor)return;const e=window.vtk;t.vtkns.Actor=e.Rendering.Core.vtkActor,t.vtkns.AxesActor=e.Rendering.Core.vtkAxesActor,t.vtkns.Base64=e.Common.Core.vtkBase64,t.vtkns.BoundingBox=e.Common.DataModel.vtkBoundingBox,t.vtkns.Camera=e.Rendering.Core.vtkCamera,t.vtkns.ColorTransferFunction=e.Rendering.Core.vtkColorTransferFunction,t.vtkns.CubeSource=e.Filters.Sources.vtkCubeSource,t.vtkns.DataAccessHelper=e.IO.Core.DataAccessHelper,t.vtkns.DataArray=e.Common.Core.vtkDataArray,t.vtkns.Follower=e.Rendering.Core.vtkFollower,t.vtkns.FullScreenRenderWindow=e.Rendering.Misc.vtkFullScreenRenderWindow,t.vtkns.Glyph3DMapper=e.Rendering.Core.vtkGlyph3DMapper,t.vtkns.HttpSceneLoader=e.IO.Core.vtkHttpSceneLoader,t.vtkns.ImageData=e.Common.DataModel.vtkImageData,t.vtkns.ImageMapper=e.Rendering.Core.vtkImageMapper,t.vtkns.ImageProperty=e.Rendering.Core.vtkImageProperty,t.vtkns.ImageSlice=e.Rendering.Core.vtkImageSlice,t.vtkns.InteractiveOrientationWidget=e.Widgets.Widgets3D.vtkInteractiveOrientationWidget,t.vtkns.InteractorStyleTrackballCamera=e.Interaction.Style.vtkInteractorStyleTrackballCamera,t.vtkns.Light=e.Rendering.Core.vtkLight,t.vtkns.LineSource=e.Filters.Sources.vtkLineSource,t.vtkns.LookupTable=e.Common.Core.vtkLookupTable,t.vtkns.macro=e.macro,t.vtkns.Mapper=e.Rendering.Core.vtkMapper,t.vtkns.OpenGLRenderWindow=e.Rendering.OpenGL.vtkRenderWindow,t.vtkns.OrientationMarkerWidget=e.Interaction.Widgets.vtkOrientationMarkerWidget,t.vtkns.OutlineFilter=e.Filters.General.vtkOutlineFilter,t.vtkns.PiecewiseFunction=e.Common.DataModel.vtkPiecewiseFunction,t.vtkns.PixelSpaceCallbackMapper=e.Rendering.Core.vtkPixelSpaceCallbackMapper,t.vtkns.PlaneSource=e.Filters.Sources.vtkPlaneSource,t.vtkns.PointSource=e.Filters.Sources.vtkPointSource,t.vtkns.PolyData=e.Common.DataModel.vtkPolyData,t.vtkns.Property=e.Rendering.Core.vtkProperty,t.vtkns.Renderer=e.Rendering.Core.vtkRenderer,t.vtkns.RenderWindow=e.Rendering.Core.vtkRenderWindow,t.vtkns.RenderWindowInteractor=e.Rendering.Core.vtkRenderWindowInteractor,t.vtkns.SphereMapper=e.Rendering.Core.vtkSphereMapper,t.vtkns.SynchronizableRenderWindow=e.Rendering.Misc.vtkSynchronizableRenderWindow,t.vtkns.ThirdParty=e.ThirdParty,t.vtkns.Texture=e.Rendering.Core.vtkTexture,t.vtkns.Volume=e.Rendering.Core.vtkVolume,t.vtkns.VolumeController=e.Interaction.UI.vtkVolumeController,t.vtkns.VolumeMapper=e.Rendering.Core.vtkVolumeMapper,t.vtkns.VolumeProperty=e.Rendering.Core.vtkVolumeProperty,t.vtkns.WidgetManager=e.Widgets.Core.vtkWidgetManager;const{vtkObjectManager:n}=t.vtkns.SynchronizableRenderWindow;n.setTypeMapping(\"vtkVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkSmartVolumeMapper\",t.vtkns.VolumeMapper.newInstance,n.oneTimeGenericUpdater),n.setTypeMapping(\"vtkFollower\",t.vtkns.Follower.newInstance,n.genericUpdater),n.setTypeMapping(\"vtkOpenGLGlyph3DMapper\",t.vtkns.Glyph3DMapper.newInstance,n.genericUpdater)}function k(e){const n=Math.min(Math.max(Math.round(e),0),255).toString(16);return 2==n.length?n:\"0\"+n}function c(e,n,t){return\"#\"+k(e)+k(n)+k(t)}function v(e){for(var n=new ArrayBuffer(e.length),t=new Uint8Array(n),r=0,a=e.length;r<a;r++)t[r]=e.charCodeAt(r);return n}t.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},t.vtkns={},t.setup_vtkns=s,window.vtk&&s(),t.Interpolation=(0,i.Enum)(\"fast_linear\",\"linear\",\"nearest\"),t.applyStyle=function(e,n){Object.keys(n).forEach((t=>{e.style[t]=n[t]}))},t.hexToRGB=function(e){return[parseInt(e.slice(1,3),16)/255,parseInt(e.slice(3,5),16)/255,parseInt(e.slice(5,7),16)/255]},t.rgbToHex=c,t.vtkLutToMapper=function(e){const{scale:n,nodes:r}=e.get(\"scale\",\"nodes\");if(n!==t.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const a=r.map((e=>e.x)),i=Math.min(...a),s=Math.max(...a),k=(0,o.linspace)(i,s,255),v=[0,0,0];return{low:i,high:s,palette:k.map((n=>(e.getColor(n,v),c(255*v[0],255*v[1],255*v[2]))))}},t.data2VTKImageData=function(e){const n=t.vtkns.ImageData.newInstance({spacing:e.spacing});n.setDimensions(e.dims),n.setOrigin(null!=e.origin?e.origin:e.dims.map((e=>e/2)));const r=t.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new t.ARRAY_TYPES[e.dtype](v(atob(e.buffer)))});return n.getPointData().setScalars(r),n},t.majorAxis=function(e,n,t){const r=[0,0,0],a=Math.abs(e[n])>Math.abs(e[t])?n:t,o=e[a]>0?1:-1;return r[a]=o,r},t.cartesian_product=function(...e){return e.reduce(((e,n)=>e.flatMap((e=>n.map((n=>[].concat(e,n)))))))}},\n      \"c010237f8b\": function _(t,i,e,s,h){s();const a=t(\"@bokehjs/models/mappers\"),n=t(\"@bokehjs/core/util/array\");class c{constructor(t,i,e={}){this.parent=t,this.mapper=i,this.options=e,e.ticksNum||(e.ticksNum=5),e.fontFamily||(e.fontFamily=\"Arial\"),e.fontSize||(e.fontSize=\"12px\"),e.ticksSize||(e.ticksSize=2),this.canvas=document.createElement(\"canvas\"),this.canvas.style.width=\"100%\",this.parent.appendChild(this.canvas),this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`,this.ctx.lineWidth=e.ticksSize,e.height||(e.height=4*(this.font_height+1)+\"px\"),this.canvas.style.height=e.height,this.draw_colorbar()}get values(){const{min:t,max:i}=this.mapper.metrics;return(0,n.linspace)(t,i,this.options.ticksNum)}get ticks(){return this.values.map((t=>t.toExponential(3)))}get title(){return this.mapper.name?this.mapper.name:\"scalars\"}get font_height(){let t=0;return this.values.forEach((i=>{const{actualBoundingBoxAscent:e,actualBoundingBoxDescent:s}=this.ctx.measureText(`${i}`),h=e+s;t<h&&(t=h)})),t}draw_colorbar(){this.canvas.width=this.canvas.clientWidth,this.canvas.height=this.canvas.clientHeight;const{palette:t}=this.mapper;this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`;const i=this.font_height;this.ctx.save();const e=document.createElement(\"canvas\"),s=t.length;e.width=s,e.height=1;const h=e.getContext(\"2d\"),c=h.getImageData(0,0,s,1),o=new a.LinearColorMapper({palette:t}).rgba_mapper.v_compute((0,n.range)(0,t.length));c.data.set(o),h.putImageData(c,0,0),this.ctx.drawImage(e,0,2*(this.font_height+1)+1,this.canvas.width,this.canvas.height),this.ctx.restore(),this.ctx.save(),this.ctx.textAlign=\"center\",this.ctx.fillText(this.title,this.canvas.width/2,i+1),this.ctx.restore(),this.ctx.save();const r=(0,n.linspace)(0,this.canvas.width,5);r.forEach(((t,e)=>{let s=t;0==e?(s=t+Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"left\"):e==r.length-1?(s=t-Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"right\"):this.ctx.textAlign=\"center\",this.ctx.moveTo(s,2*(i+1)),this.ctx.lineTo(s,2*(i+1)+5),this.ctx.stroke(),this.ctx.fillText(`${this.ticks[e]}`,t,2*(i+1))})),this.ctx.restore()}}e.VTKColorBar=c,c.__name__=\"VTKColorBar\"},\n      \"ab478186ba\": function _(t,i,s,e,n){e();const a=t(\"@bokehjs/model\"),c=t(\"2f3fd5db07\"),r=t(\"993f3118b2\");class h extends a.Model{constructor(t){super(t)}static init_VTKAxes(){this.define((({Any:t,Array:i,Boolean:s,Number:e})=>({origin:[i(e)],xticker:[t],yticker:[t],zticker:[t],digits:[e,1],show_grid:[s,!0],grid_opacity:[e,.1],axes_opacity:[e,1],fontsize:[e,12]})))}get xticks(){return this.xticker?this.xticker.ticks:[]}get yticks(){return this.yticker?this.yticker.ticks:[]}get zticks(){return this.zticker?this.zticker.ticks:[]}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map((t=>t.toFixed(this.digits)))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map((t=>t.toFixed(this.digits)))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map((t=>t.toFixed(this.digits)))}_make_grid_lines(t,i,s){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<i-1;t++){const a=n*i+t+s,c=[5,a,n*i+t+1+s,(n+1)*i+t+1+s,(n+1)*i+t+s,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push((0,r.cartesian_product)(this.xticks,this.yticks,[this.origin[2]])),t.push((0,r.cartesian_product)([this.origin[0]],this.yticks,this.zticks)),t.push((0,r.cartesian_product)(this.xticks,[this.origin[1]],this.zticks));const i=[];let s=0;i.push(this._make_grid_lines(this.xticks.length,this.yticks.length,s)),s+=this.xticks.length*this.yticks.length,i.push(this._make_grid_lines(this.yticks.length,this.zticks.length,s)),s+=this.yticks.length*this.zticks.length,i.push(this._make_grid_lines(this.xticks.length,this.zticks.length,s));const e=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:i.flat(2)}}),n=r.vtkns.Mapper.newInstance(),a=r.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){if(null==this.origin)return{psActor:null,axesActor:null,gridActor:null};const i=[this.xticks,this.yticks,this.zticks].map(((t,i)=>{let s=null;switch(i){case 0:s=(0,r.cartesian_product)(t,[this.origin[1]],[this.origin[2]]);break;case 1:s=(0,r.cartesian_product)([this.origin[0]],t,[this.origin[2]]);break;case 2:s=(0,r.cartesian_product)([this.origin[0]],[this.origin[1]],t)}return s})).flat(2),s=window.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:i},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=r.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(s),e.setUseZValues(!0),e.setCallback(((i,s,n)=>{const a=t.getContext(\"2d\");if(a){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=s.getViewMatrix();c.mat4.transpose(l,l);const o=s.getProjectionMatrix(n,-1,1);c.mat4.transpose(o,o),a.clearRect(0,0,r.width,r.height),i.forEach(((t,i)=>{const s=h.getPoint(i),e=c.vec3.fromValues(s[0],s[1],s[2]);if(c.vec3.transformMat4(e,e,l),e[2]+=.05,c.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let s;a.font=\"30px serif\",a.textAlign=\"center\",a.textBaseline=\"alphabetic\",a.fillText(\".\",t[0],r.height-t[1]+2),a.font=this.fontsize*window.devicePixelRatio+\"px serif\",a.textAlign=\"right\",a.textBaseline=\"top\",s=i<this.xticks.length?this.xlabels[i]:i>=this.xticks.length&&i<this.xticks.length+this.yticks.length?this.ylabels[i-this.xticks.length]:this.zlabels[i-(this.xticks.length+this.yticks.length)],a.fillText(`${s}`,t[0],r.height-t[1])}}))}}));const n=r.vtkns.Actor.newInstance();n.setMapper(e);const a=r.vtkns.Mapper.newInstance();a.setInputData(s);const h=r.vtkns.Actor.newInstance();h.setMapper(a),h.getProperty().setOpacity(this.axes_opacity);return{psActor:n,axesActor:h,gridActor:this._create_grid_axes()}}}s.VTKAxes=h,h.__name__=\"VTKAxes\",h.__module__=\"panel.models.vtk\",h.init_VTKAxes()},\n      \"2f3fd5db07\": function 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t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=e,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,A=n*s-o*e,x=r*c-u*i,d=r*s-o*i,I=u*s-o*c,L=M*m-h*l,N=M*v-f*l,O=M*E-b*l,R=h*v-f*m,p=h*E-b*m,Y=f*E-b*v,y=P*Y-S*p+A*R+x*O-d*N+I*L;return y?(y=1/y,t[0]=(i*Y-c*p+s*R)*y,t[1]=(c*O-e*Y-s*N)*y,t[2]=(e*p-i*O+s*L)*y,t[3]=(u*p-r*Y-o*R)*y,t[4]=(n*Y-u*O+o*N)*y,t[5]=(r*O-n*p-o*L)*y,t[6]=(m*I-v*d+E*x)*y,t[7]=(v*A-l*I-E*S)*y,t[8]=(l*d-m*A+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=i,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],A=a[8];return Math.abs(n-f)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(r-b)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(b))&&Math.abs(u-l)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(l))&&Math.abs(e-m)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=o.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-A)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(A))},n.mul=e,n.sub=i},\n      \"a427635f32\": function _(t,a,n,r,h){r();const o=(0,t(\"tslib\").__importStar)(t(\"68ca94c15c\"));function u(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function M(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],m=a[12],v=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],L=n[3];return t[0]=S*r+I*M+O*c+L*m,t[1]=S*h+I*s+O*f+L*v,t[2]=S*o+I*e+O*b+L*P,t[3]=S*u+I*i+O*l+L*E,S=n[4],I=n[5],O=n[6],L=n[7],t[4]=S*r+I*M+O*c+L*m,t[5]=S*h+I*s+O*f+L*v,t[6]=S*o+I*e+O*b+L*P,t[7]=S*u+I*i+O*l+L*E,S=n[8],I=n[9],O=n[10],L=n[11],t[8]=S*r+I*M+O*c+L*m,t[9]=S*h+I*s+O*f+L*v,t[10]=S*o+I*e+O*b+L*P,t[11]=S*u+I*i+O*l+L*E,S=n[12],I=n[13],O=n[14],L=n[15],t[12]=S*r+I*M+O*c+L*m,t[13]=S*h+I*s+O*f+L*v,t[14]=S*o+I*e+O*b+L*P,t[15]=S*u+I*i+O*l+L*E,t}function s(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,s=h+h,e=o+o,i=r*M,c=r*s,f=r*e,b=h*s,l=h*e,m=o*e,v=u*M,P=u*s,E=u*e;return t[0]=1-(b+m),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+m),t[6]=l+v,t[7]=0,t[8]=f+P,t[9]=l-v,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function e(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],s=a[8],e=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(s,e,i),t}function i(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new o.ARRAY_TYPE(16);return o.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new o.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,r,h,u,M,s,e,i,c,f,b,l,m,v){var P=new o.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=r,P[4]=h,P[5]=u,P[6]=M,P[7]=s,P[8]=e,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=m,P[15]=v,P},n.set=function(t,a,n,r,h,o,u,M,s,e,i,c,f,b,l,m,v){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=s,t[8]=e,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=m,t[15]=v,t},n.identity=u,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15],E=n*M-r*u,S=n*s-h*u,I=n*e-o*u,O=r*s-h*M,L=r*e-o*M,N=h*e-o*s,p=i*m-c*l,R=i*v-f*l,x=i*P-b*l,A=c*v-f*m,y=c*P-b*m,Y=f*P-b*v,g=E*Y-S*y+I*A+O*x-L*R+N*p;return g?(g=1/g,t[0]=(M*Y-s*y+e*A)*g,t[1]=(h*y-r*Y-o*A)*g,t[2]=(m*N-v*L+P*O)*g,t[3]=(f*L-c*N-b*O)*g,t[4]=(s*x-u*Y-e*R)*g,t[5]=(n*Y-h*x+o*R)*g,t[6]=(v*I-l*N-P*S)*g,t[7]=(i*N-f*I+b*S)*g,t[8]=(u*y-M*x+e*p)*g,t[9]=(r*x-n*y-o*p)*g,t[10]=(l*L-m*I+P*E)*g,t[11]=(c*I-i*L-b*E)*g,t[12]=(M*R-u*A-s*p)*g,t[13]=(n*A-r*R+h*p)*g,t[14]=(m*S-l*O-v*E)*g,t[15]=(i*O-c*S+f*E)*g,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],s=a[6],e=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],P=a[15];return t[0]=M*(f*P-b*v)-c*(s*P-e*v)+m*(s*b-e*f),t[1]=-(r*(f*P-b*v)-c*(h*P-o*v)+m*(h*b-o*f)),t[2]=r*(s*P-e*v)-M*(h*P-o*v)+m*(h*e-o*s),t[3]=-(r*(s*b-e*f)-M*(h*b-o*f)+c*(h*e-o*s)),t[4]=-(u*(f*P-b*v)-i*(s*P-e*v)+l*(s*b-e*f)),t[5]=n*(f*P-b*v)-i*(h*P-o*v)+l*(h*b-o*f),t[6]=-(n*(s*P-e*v)-u*(h*P-o*v)+l*(h*e-o*s)),t[7]=n*(s*b-e*f)-u*(h*b-o*f)+i*(h*e-o*s),t[8]=u*(c*P-b*m)-i*(M*P-e*m)+l*(M*b-e*c),t[9]=-(n*(c*P-b*m)-i*(r*P-o*m)+l*(r*b-o*c)),t[10]=n*(M*P-e*m)-u*(r*P-o*m)+l*(r*e-o*M),t[11]=-(n*(M*b-e*c)-u*(r*b-o*c)+i*(r*e-o*M)),t[12]=-(u*(c*v-f*m)-i*(M*v-s*m)+l*(M*f-s*c)),t[13]=n*(c*v-f*m)-i*(r*v-h*m)+l*(r*f-h*c),t[14]=-(n*(M*v-s*m)-u*(r*v-h*m)+l*(r*s-h*M)),t[15]=n*(M*f-s*c)-u*(r*f-h*c)+i*(r*s-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],s=t[7],e=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],m=t[14],v=t[15];return(a*u-n*o)*(c*v-f*m)-(a*M-r*o)*(i*v-f*l)+(a*s-h*o)*(i*m-c*l)+(n*M-r*u)*(e*v-f*b)-(n*s-h*u)*(e*m-c*b)+(r*s-h*M)*(e*l-i*b)},n.multiply=M,n.translate=function(t,a,n){var r,h,o,u,M,s,e,i,c,f,b,l,m=n[0],v=n[1],P=n[2];return a===t?(t[12]=a[0]*m+a[4]*v+a[8]*P+a[12],t[13]=a[1]*m+a[5]*v+a[9]*P+a[13],t[14]=a[2]*m+a[6]*v+a[10]*P+a[14],t[15]=a[3]*m+a[7]*v+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],s=a[5],e=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=s,t[6]=e,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*m+M*v+c*P+a[12],t[13]=h*m+s*v+f*P+a[13],t[14]=o*m+e*v+b*P+a[14],t[15]=u*m+i*v+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,r){var h,u,M,s,e,i,c,f,b,l,m,v,P,E,S,I,O,L,N,p,R,x,A,y,Y=r[0],g=r[1],T=r[2],d=Math.hypot(Y,g,T);return d<o.EPSILON?null:(Y*=d=1/d,g*=d,T*=d,h=Math.sin(n),M=1-(u=Math.cos(n)),s=a[0],e=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],m=a[7],v=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=g*Y*M+T*h,L=T*Y*M-g*h,N=Y*g*M-T*h,p=g*g*M+u,R=T*g*M+Y*h,x=Y*T*M+g*h,A=g*T*M-Y*h,y=T*T*M+u,t[0]=s*I+f*O+v*L,t[1]=e*I+b*O+P*L,t[2]=i*I+l*O+E*L,t[3]=c*I+m*O+S*L,t[4]=s*N+f*p+v*R,t[5]=e*N+b*p+P*R,t[6]=i*N+l*p+E*R,t[7]=c*N+m*p+S*R,t[8]=s*x+f*A+v*y,t[9]=e*x+b*A+P*y,t[10]=i*x+l*A+E*y,t[11]=c*x+m*A+S*y,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],s=a[7],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+e*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=s*h+f*r,t[8]=e*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-s*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-e*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=s*h-f*r,t[8]=o*r+e*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=s*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],s=a[3],e=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+e*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=s*h+f*r,t[4]=e*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-s*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var r,h,u,M=n[0],s=n[1],e=n[2],i=Math.hypot(M,s,e);return i<o.EPSILON?null:(M*=i=1/i,s*=i,e*=i,r=Math.sin(a),u=1-(h=Math.cos(a)),t[0]=M*M*u+h,t[1]=s*M*u+e*r,t[2]=e*M*u-s*r,t[3]=0,t[4]=M*s*u-e*r,t[5]=s*s*u+h,t[6]=e*s*u+M*r,t[7]=0,t[8]=M*e*u+s*r,t[9]=s*e*u-M*r,t[10]=e*e*u+h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=s,n.fromQuat2=function(t,a){var n=new o.ARRAY_TYPE(3),r=-a[0],h=-a[1],u=-a[2],M=a[3],e=a[4],i=a[5],c=a[6],f=a[7],b=r*r+h*h+u*u+M*M;return b>0?(n[0]=2*(e*M+f*r+i*u-c*h)/b,n[1]=2*(i*M+f*h+c*r-e*u)/b,n[2]=2*(c*M+f*u+e*h-i*r)/b):(n[0]=2*(e*M+f*r+i*u-c*h),n[1]=2*(i*M+f*h+c*r-e*u),n[2]=2*(c*M+f*u+e*h-i*r)),s(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=e,n.getRotation=function(t,a){var n=new o.ARRAY_TYPE(3);e(n,a);var r=1/n[0],h=1/n[1],u=1/n[2],M=a[0]*r,s=a[1]*h,i=a[2]*u,c=a[4]*r,f=a[5]*h,b=a[6]*u,l=a[8]*r,m=a[9]*h,v=a[10]*u,P=M+f+v,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-m)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):M>f&&M>v?(E=2*Math.sqrt(1+M-f-v),t[3]=(b-m)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>v?(E=2*Math.sqrt(1+f-M-v),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+m)/E):(E=2*Math.sqrt(1+v-M-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+m)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],s=h+h,e=o+o,i=u+u,c=h*s,f=h*e,b=h*i,l=o*e,m=o*i,v=u*i,P=M*s,E=M*e,S=M*i,I=r[0],O=r[1],L=r[2];return t[0]=(1-(l+v))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+v))*O,t[6]=(m+P)*O,t[7]=0,t[8]=(b+E)*L,t[9]=(m-P)*L,t[10]=(1-(c+l))*L,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],s=a[3],e=o+o,i=u+u,c=M+M,f=o*e,b=o*i,l=o*c,m=u*i,v=u*c,P=M*c,E=s*e,S=s*i,I=s*c,O=r[0],L=r[1],N=r[2],p=h[0],R=h[1],x=h[2],A=(1-(m+P))*O,y=(b+I)*O,Y=(l-S)*O,g=(b-I)*L,T=(1-(f+P))*L,d=(v+E)*L,_=(l+S)*N,q=(v-E)*N,w=(1-(f+m))*N;return t[0]=A,t[1]=y,t[2]=Y,t[3]=0,t[4]=g,t[5]=T,t[6]=d,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+p-(A*p+g*R+_*x),t[13]=n[1]+R-(y*p+T*R+q*x),t[14]=n[2]+x-(Y*p+d*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,s=h+h,e=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*s,m=o*u,v=o*M,P=o*s;return t[0]=1-c-l,t[1]=i+P,t[2]=f-v,t[3]=0,t[4]=i-P,t[5]=1-e-l,t[6]=b+m,t[7]=0,t[8]=f+v,t[9]=b-m,t[10]=1-e-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),s=1/(h-r),e=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*s,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*s,t[10]=(u+o)*e,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*e,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),s=2/(u+M),e=2/(h+o);return t[0]=s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e,t[6]=0,t[7]=0,t[8]=-(u-M)*s*.5,t[9]=(h-o)*e*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),s=1/(r-h),e=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*s,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*e,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*s,t[14]=(u+o)*e,t[15]=1,t},n.lookAt=function(t,a,n,r){var h,M,s,e,i,c,f,b,l,m,v=a[0],P=a[1],E=a[2],S=r[0],I=r[1],O=r[2],L=n[0],N=n[1],p=n[2];return Math.abs(v-L)<o.EPSILON&&Math.abs(P-N)<o.EPSILON&&Math.abs(E-p)<o.EPSILON?u(t):(f=v-L,b=P-N,l=E-p,h=I*(l*=m=1/Math.hypot(f,b,l))-O*(b*=m),M=O*(f*=m)-S*l,s=S*b-I*f,(m=Math.hypot(h,M,s))?(h*=m=1/m,M*=m,s*=m):(h=0,M=0,s=0),e=b*s-l*M,i=l*h-f*s,c=f*M-b*h,(m=Math.hypot(e,i,c))?(e*=m=1/m,i*=m,c*=m):(e=0,i=0,c=0),t[0]=h,t[1]=e,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=s,t[9]=c,t[10]=l,t[11]=0,t[12]=-(h*v+M*P+s*E),t[13]=-(e*v+i*P+c*E),t[14]=-(f*v+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],s=r[1],e=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=s*f-e*c,m=e*i-M*f,v=M*c-s*i;return(b=l*l+m*m+v*v)>0&&(l*=b=1/Math.sqrt(b),m*=b,v*=b),t[0]=l,t[1]=m,t[2]=v,t[3]=0,t[4]=c*v-f*m,t[5]=f*l-i*v,t[6]=i*m-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=i,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],r=t[1],h=t[2],u=t[3],M=t[4],s=t[5],e=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],m=t[12],v=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],L=a[3],N=a[4],p=a[5],R=a[6],x=a[7],A=a[8],y=a[9],Y=a[10],g=a[11],T=a[12],d=a[13],_=a[14],q=a[15];return Math.abs(n-S)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(S))&&Math.abs(r-I)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(I))&&Math.abs(h-O)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(O))&&Math.abs(u-L)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(L))&&Math.abs(M-N)<=o.EPSILON*Math.max(1,Math.abs(M),Math.abs(N))&&Math.abs(s-p)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(p))&&Math.abs(e-R)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(R))&&Math.abs(i-x)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(x))&&Math.abs(c-A)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(A))&&Math.abs(f-y)<=o.EPSILON*Math.max(1,Math.abs(f),Math.abs(y))&&Math.abs(b-Y)<=o.EPSILON*Math.max(1,Math.abs(b),Math.abs(Y))&&Math.abs(l-g)<=o.EPSILON*Math.max(1,Math.abs(l),Math.abs(g))&&Math.abs(m-T)<=o.EPSILON*Math.max(1,Math.abs(m),Math.abs(T))&&Math.abs(v-d)<=o.EPSILON*Math.max(1,Math.abs(v),Math.abs(d))&&Math.abs(P-_)<=o.EPSILON*Math.max(1,Math.abs(P),Math.abs(_))&&Math.abs(E-q)<=o.EPSILON*Math.max(1,Math.abs(E),Math.abs(q))},n.mul=M,n.sub=i},\n 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r=-a[0],e=-a[1],u=-a[2],o=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*o+f*r+c*u-h*e,b=c*o+f*e+h*r-s*u,l=h*o+f*u+s*e-c*r,v=f*o-s*r-c*e-h*u;return i.rotateZ(t,a,n),r=t[0],e=t[1],u=t[2],o=t[3],t[4]=M*o+v*r+b*u-l*e,t[5]=b*o+v*e+l*r-M*u,t[6]=l*o+v*u+M*e-b*r,t[7]=v*o-M*r-b*e-l*u,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<o.EPSILON)return h(t,a);var e=Math.hypot(n[0],n[1],n[2]);r*=.5;var u=Math.sin(r),i=u*n[0]/e,s=u*n[1]/e,c=u*n[2]/e,f=Math.cos(r),M=a[0],b=a[1],l=a[2],v=a[3];t[0]=M*f+v*i+b*c-l*s,t[1]=b*f+v*s+l*i-M*c,t[2]=l*f+v*c+M*s-b*i,t[3]=v*f-M*i-b*s-l*c;var m=a[4],R=a[5],A=a[6],E=a[7];return t[4]=m*f+E*i+R*c-A*s,t[5]=R*f+E*s+A*i-m*c,t[6]=A*f+E*c+m*s-R*i,t[7]=E*f-m*i-R*s-A*c,t},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t},n.multiply=f,n.mul=f,n.scale=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t},n.dot=i.dot,n.lerp=function(t,a,r,e){var u=1-e;return(0,n.dot)(a,r)<0&&(e=-e),t[0]=a[0]*u+r[0]*e,t[1]=a[1]*u+r[1]*e,t[2]=a[2]*u+r[2]*e,t[3]=a[3]*u+r[3]*e,t[4]=a[4]*u+r[4]*e,t[5]=a[5]*u+r[5]*e,t[6]=a[6]*u+r[6]*e,t[7]=a[7]*u+r[7]*e,t},n.invert=function(t,a){var r=(0,n.squaredLength)(a);return t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=i.length,n.len=n.length,n.squaredLength=i.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=(0,n.squaredLength)(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],e=t[2],u=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],b=a[2],l=a[3],v=a[4],m=a[5],R=a[6],A=a[7];return Math.abs(n-f)<=o.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(r-M)<=o.EPSILON*Math.max(1,Math.abs(r),Math.abs(M))&&Math.abs(e-b)<=o.EPSILON*Math.max(1,Math.abs(e),Math.abs(b))&&Math.abs(u-l)<=o.EPSILON*Math.max(1,Math.abs(u),Math.abs(l))&&Math.abs(i-v)<=o.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(s-m)<=o.EPSILON*Math.max(1,Math.abs(s),Math.abs(m))&&Math.abs(c-R)<=o.EPSILON*Math.max(1,Math.abs(c),Math.abs(R))&&Math.abs(h-A)<=o.EPSILON*Math.max(1,Math.abs(h),Math.abs(A))}},\n      \"c56d9ff837\": function _(n,t,r,a,u){a();const e=(0,n(\"tslib\").__importStar)(n(\"68ca94c15c\"));function o(){var n=new e.ARRAY_TYPE(2);return e.ARRAY_TYPE!=Float32Array&&(n[0]=0,n[1]=0),n}function c(n,t,r){return n[0]=t[0]-r[0],n[1]=t[1]-r[1],n}function i(n,t,r){return n[0]=t[0]*r[0],n[1]=t[1]*r[1],n}function f(n,t,r){return n[0]=t[0]/r[0],n[1]=t[1]/r[1],n}function s(n,t){var r=t[0]-n[0],a=t[1]-n[1];return Math.hypot(r,a)}function h(n,t){var r=t[0]-n[0],a=t[1]-n[1];return r*r+a*a}function M(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function l(n){var t=n[0],r=n[1];return t*t+r*r}var v;r.create=o,r.clone=function(n){var t=new e.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new e.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=c,r.multiply=i,r.divide=f,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=s,r.squaredDistance=h,r.length=M,r.squaredLength=l,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*e.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],a=n[1],u=t[0],o=t[1];return Math.abs(r-u)<=e.EPSILON*Math.max(1,Math.abs(r),Math.abs(u))&&Math.abs(a-o)<=e.EPSILON*Math.max(1,Math.abs(a),Math.abs(o))},r.len=M,r.sub=c,r.mul=i,r.div=f,r.dist=s,r.sqrDist=h,r.sqrLen=l,r.forEach=(v=o(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)v[0]=n[o],v[1]=n[o+1],u(v,v,e),n[o]=v[0],n[o+1]=v[1];return n})},\n      \"7785475bdd\": function _(e,t,i,s,n){s();const r=e(\"e13c143c7d\"),o=e(\"993f3118b2\");class a extends r.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,(()=>{this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data),this.invalidate_render()})),this.connect(this.model.properties.colormap.change,(()=>{this.colormap_selector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_selector.dispatchEvent(e)})),this.connect(this.model.properties.shadow.change,(()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)})),this.connect(this.model.properties.sampling.change,(()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)})),this.connect(this.model.properties.edge_gradient.change,(()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)})),this.connect(this.model.properties.rescale.change,(()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.ambient.change,(()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.diffuse.change,(()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular.change,(()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.specular_power.change,(()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_volume.change,(()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.display_slices.change,(()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.slice_i.change,(()=>{void 0!==this.image_actor_i&&(this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_j.change,(()=>{void 0!==this.image_actor_j&&(this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.slice_k.change,(()=>{void 0!==this.image_actor_k&&(this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render())})),this.connect(this.model.properties.render_background.change,(()=>{this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.interpolation.change,(()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()})),this.connect(this.model.properties.controller_expanded.change,(()=>{null!=this._controllerWidget&&this._controllerWidget.setExpanded(this.model.controller_expanded)})),this.connect(this.model.properties.nan_opacity.change,(()=>{const e=this.image_actor_i.getProperty().getScalarOpacity();e.get([\"nodes\"]).nodes[0].y=this.model.nan_opacity,e.modified(),this._vtk_renwin.getRenderWindow().render()}))}render(){this._vtk_renwin=null,this._orientationWidget=null,this._axes=null,super.render(),this._create_orientation_widget(),this._set_axes(),this.model.camera?this._set_camera_state():this._vtk_renwin.getRenderer().resetCamera(),this._get_camera_state()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=o.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){this._controllerWidget=o.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._plot_volume(),this._plot_slices(),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),this.volume,!0),this._controllerWidget.setContainer(this.el),this._controllerWidget.setExpanded(this.model.controller_expanded),this._connect_js_controls(),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...(0,o.hexToRGB)(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._set_camera_state()}get vtk_image_data(){return this._vtk_image_data||(this._vtk_image_data=(0,o.data2VTKImageData)(this.model.data)),this._vtk_image_data}get volume(){return this._vtk_renwin.getRenderer().getVolumes()[0]}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_selector(){return this.el.querySelector(\".js-color-preset\")}_connect_js_controls(){const{el:e}=this._controllerWidget.get(\"el\");if(void 0!==e){e.querySelector(\".js-button\").addEventListener(\"click\",(()=>this.model.controller_expanded=this._controllerWidget.getExpanded()))}this.colormap_selector.addEventListener(\"change\",(()=>{this.model.colormap=this.colormap_selector.value})),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_selector.value,this.shadow_selector.addEventListener(\"change\",(()=>{this.model.shadow=!!Number(this.shadow_selector.value)})),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",(()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)})),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",(()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)})),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_slices(){const e=this._vtk_image_data,t=o.vtkns.ImageSlice.newInstance(),i=o.vtkns.ImageSlice.newInstance(),s=o.vtkns.ImageSlice.newInstance(),n=o.vtkns.ImageMapper.newInstance(),r=o.vtkns.ImageMapper.newInstance(),a=o.vtkns.ImageMapper.newInstance();n.setInputData(e),n.setISlice(this.model.slice_i),t.setMapper(n),r.setInputData(e),r.setJSlice(this.model.slice_j),i.setMapper(r),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=o.vtkns.PiecewiseFunction.newInstance(),d=this.volume.getProperty().getRGBTransferFunction(0),c=this.volume.getMapper().getInputData().getPointData().getScalars().getRange();l.removeAllPoints(),l.addPoint(c[0]-1,this.model.nan_opacity),l.addPoint(c[0],1),l.addPoint(c[1],1);const _=t.getProperty();i.setProperty(_),s.setProperty(_),_.setRGBTransferFunction(d),_.setScalarOpacity(l);const h=this._vtk_renwin.getRenderer();h.addActor(t),h.addActor(i),h.addActor(s)}_plot_volume(){const e=this.vtk_image_data,t=o.vtkns.Volume.newInstance(),i=o.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),n=o.vtkns.ColorTransferFunction.newInstance();n.onModified((()=>this.model.mapper=(0,o.vtkLutToMapper)(n)));const r=o.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map((e=>e*e)).reduce(((e,t)=>e+t),0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,n),t.getProperty().setScalarOpacity(0,r),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,o.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t)}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}_set_slices_visibility(e){this.image_actor_i.setVisibility(e),this.image_actor_j.setVisibility(e),this.image_actor_k.setVisibility(e)}_set_volume_visibility(e){this.volume.setVisibility(e)}}i.VTKVolumePlotView=a,a.__name__=\"VTKVolumePlotView\";class l extends r.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=a,this.define((({Any:e,Array:t,Boolean:i,Int:s,Number:n,String:r,Struct:a})=>({ambient:[n,.2],colormap:[r],data:[e],diffuse:[n,.7],display_slices:[i,!1],display_volume:[i,!0],edge_gradient:[n,.2],interpolation:[o.Interpolation,\"fast_linear\"],mapper:[a({palette:t(r),low:n,high:n})],nan_opacity:[n,1],render_background:[r,\"#52576e\"],rescale:[i,!1],sampling:[n,.4],shadow:[i,!0],slice_i:[s,0],slice_j:[s,0],slice_k:[s,0],specular:[n,.3],specular_power:[n,8],controller_expanded:[i,!0]})))}}i.VTKVolumePlot=l,l.__name__=\"VTKVolumePlot\",l.init_VTKVolumePlot()},\n      \"0a57062475\": function _(e,t,n,s,i){s();const r=e(\"@bokehjs/core/util/object\"),o=e(\"e13c143c7d\"),_=e(\"877619fe71\"),a=e(\"993f3118b2\"),c=\"panel\";class h extends o.AbstractVTKView{initialize(){super.initialize(),this._promises=[],this._renderable=!1,this._arrays={},this._decoded_arrays={},this._pending_arrays={},this.registerArray=(e,t)=>(this._arrays[e]=t,this._pending_arrays[e]&&this._pending_arrays[e].resolve(t),!0),this._synchronizer_context=a.vtkns.SynchronizableRenderWindow.getSynchronizerContext(c)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.arrays.change,(()=>this._decode_arrays())),this.connect(this.model.properties.scene.change,(()=>{if(this.model.rebuild)this._vtk_renwin=null,this.invalidate_render();else{const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>{this._on_scene_ready()}))}))}})),this.connect(this.model.properties.one_time_reset.change,(()=>{this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters()}))}init_vtk_renwin(){this._vtk_renwin=a.vtkns.FullScreenRenderWindowSynchronized.newInstance({rootContainer:this.el,container:this._vtk_container,synchronizerContext:this._synchronizer_context})}plot(){this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters(),this._decode_arrays();const e=(0,r.clone)(this.model.scene);Promise.all(this._promises).then((()=>{this._sync_plot(e,(()=>this._on_scene_ready())).then((()=>{this._set_camera_state(),this._get_camera_state()}))}))}_decode_arrays(){const e=new a.vtkns.ThirdParty.JSZip,t=this.model.arrays,n=this.registerArray,s=this.model.arrays_processed,i=this.model;Object.keys(t).forEach((r=>{this._decoded_arrays[r]||(this._decoded_arrays[r]=!0,this._promises.push(function(r){return e.loadAsync(atob(t[r])).then((e=>e.file(\"data/\"+r))).then((e=>e.async(\"arraybuffer\"))).then((e=>n(r,e))).then((()=>{s.push(r),i.properties.arrays_processed.change.emit()}))}(r)))}))}_on_scene_ready(){this._promises.length>0||(this._renderable=!0,this._camera_callbacks.push(this._vtk_renwin.getRenderer().getActiveCamera().onModified((()=>this._vtk_render()))),this._orientationWidget||this._create_orientation_widget(),this._axes||this._set_axes(),this._vtk_renwin.resize(),this._vtk_render())}_sync_plot(e,t){this._renderable=!1,this._promises=[],this._unsubscribe_camera_cb(),this._synchronizer_context.setFetchArrayFunction((e=>Promise.resolve(this._arrays[e])));const n=this._synchronizer_context.getInstance(this.model.scene.dependencies[0].id);return n&&!this._vtk_renwin.getRenderer()&&this._vtk_renwin.getRenderWindow().addRenderer(n),this._vtk_renwin.getRenderWindow().synchronize(e).then(t)}}n.VTKSynchronizedPlotView=h,h.__name__=\"VTKSynchronizedPlotView\";class d extends 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       "     style='height:25px; border-radius:12px; display: inline-block; float: left; vertical-align: middle'></img>\n",
       "\n",
       "\n",
       "  <img src='data:image/png;base64,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'\n",
       "       style='height:15px; border-radius:12px; display: inline-block; float: left'></img>\n",
       "  \n",
       "\n",
       "\n",
       "\n",
       "\n",
       "</div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import stereo as st\n",
    "from stereo.core.ms_data import MSData\n",
    "from stereo.core.ms_pipeline import slice_generator\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# prepara for input directory\n",
    "data1 = st.io.read_h5ad('./Demo_BatchQC/stereo_olfactory_bulb_ann.h5ad',bin_type='bins', bin_size=1)\n",
    "data2 = st.io.read_h5ad('./Demo_BatchQC/visium_olfactory_bulb_ann.h5ad',bin_type='bins', bin_size=1)\n",
    "\n",
    "# construct MSData object \n",
    "ms_data = MSData(_relationship='continuous', _var_type='intersect')\n",
    "\n",
    "ms_data += data1\n",
    "ms_data += data2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b767acb",
   "metadata": {},
   "source": [
    "After loading data, you need to perform integration first, the parameter `space_between` represents the distance between each adjacent pair, which will be used for z-coordinate of each sample, default to `0`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6f34b7a7-07ca-4734-8ccd-93f2eaeb1a0a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-29T10:12:41.567610Z",
     "iopub.status.busy": "2023-06-29T10:12:41.567309Z",
     "iopub.status.idle": "2023-06-29T10:12:41.754784Z",
     "shell.execute_reply": "2023-06-29T10:12:41.753894Z",
     "shell.execute_reply.started": "2023-06-29T10:12:41.567585Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ms_data: {'0': (1123, 27825), '1': (1184, 32285)}\n",
       "num_slice: 2\n",
       "names: ['0', '1']\n",
       "obs: ['batch']\n",
       "var: []\n",
       "relationship: continuous\n",
       "var_type: intersect to 26760\n",
       "mss: []"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ms_data.integrate()\n",
    "ms_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dc1986d-9dba-42da-b9dc-0008a20da69e",
   "metadata": {},
   "source": [
    "## Clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7fc18c29-b866-47ce-8ac3-7df9808e287d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-29T10:13:52.440332Z",
     "iopub.status.busy": "2023-06-29T10:13:52.436048Z",
     "iopub.status.idle": "2023-06-29T10:13:52.945458Z",
     "shell.execute_reply": "2023-06-29T10:13:52.944129Z",
     "shell.execute_reply.started": "2023-06-29T10:13:52.440268Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2023-06-29 18:13:52][Stereo][31507][MainThread][140518837950272][ms_pipeline][105][INFO]: data_obj(idx=0) in ms_data start to run leiden\n",
      "[2023-06-29 18:13:52][Stereo][31507][MainThread][140518837950272][st_pipeline][37][INFO]: start to run leiden...\n",
      "[2023-06-29 18:13:52][Stereo][31507][MainThread][140518837950272][st_pipeline][40][INFO]: leiden end, consume time 0.4925s.\n"
     ]
    }
   ],
   "source": [
    "# preprocessing\n",
    "ms_data.tl.cal_qc(scope=slice_generator[:],mode='integrate')\n",
    "ms_data.tl.raw_checkpoint()\n",
    "\n",
    "ms_data.tl.normalize_total(scope=slice_generator[:],mode='integrate')\n",
    "ms_data.tl.log1p(scope=slice_generator[:],mode='integrate')\n",
    "ms_data.tl.scale(scope=slice_generator[:],mode='integrate', zero_center=False, max_value=10)\n",
    "\n",
    "# embedding\n",
    "ms_data.tl.pca(scope=slice_generator[:],mode='integrate', use_highly_genes=False, n_pcs=50, res_key='pca')\n",
    "ms_data.tl.neighbors(scope=slice_generator[:],mode='integrate', pca_res_key='pca', res_key='neighbors')\n",
    "ms_data.tl.umap(scope=slice_generator[:],mode='integrate', pca_res_key='pca', neighbors_res_key='neighbors', res_key='umap')\n",
    "\n",
    "# clustering\n",
    "ms_data.tl.leiden(scope=slice_generator[:],mode='integrate', neighbors_res_key='neighbors', res_key='leiden')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "557d5543-bfc3-40cf-9ae8-b38f64686894",
   "metadata": {},
   "source": [
    "## Batch evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9a1e4bb",
   "metadata": {},
   "source": [
    "Evaluate batch effection, and save the output report."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b31108ae-20a6-489a-8cb6-403d8f658e25",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-29T10:13:52.948701Z",
     "iopub.status.busy": "2023-06-29T10:13:52.948020Z",
     "iopub.status.idle": "2023-06-29T10:15:46.361473Z",
     "shell.execute_reply": "2023-06-29T10:15:46.360305Z",
     "shell.execute_reply.started": "2023-06-29T10:13:52.948648Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2023-06-29 18:13:54][Stereo][31507][MainThread][140518837950272][ms_pipeline][95][INFO]: register algorithm batch_qc to <class 'stereo.core.stereo_exp_data.StereoExpData'>-140516686761456\n",
      "[2023-06-29 18:14:11][Stereo][31507][MainThread][140518837950272][classifier][136][INFO]: Model Training Finished!\n",
      "[2023-06-29 18:14:11][Stereo][31507][MainThread][140518837950272][classifier][137][INFO]: Trained checkpoint file has been saved to ./batch_qc\n",
      "[2023-06-29 18:15:46][Stereo][31507][MainThread][140518837950272][batchqc_raw][249][INFO]: 2023-06-29 18:15:46 The 'BatchQC_Report.html' has been saved to ./batch_qc\n"
     ]
    }
   ],
   "source": [
    "ms_data.tl.batch_qc(scope=slice_generator[:],mode='integrate', cluster_res_key='leiden', report_path='./batch_qc', res_key='batch_qc')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "818fd34a-9472-43d6-a424-c1e27fa90a8d",
   "metadata": {},
   "source": [
    "## Display report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f965d8cc-bc61-4682-997d-091d0b7b1ade",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-06-29T10:15:46.363712Z",
     "iopub.status.busy": "2023-06-29T10:15:46.363337Z",
     "iopub.status.idle": "2023-06-29T10:15:46.477565Z",
     "shell.execute_reply": "2023-06-29T10:15:46.475172Z",
     "shell.execute_reply.started": "2023-06-29T10:15:46.363677Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[2023-06-29 18:15:46][Stereo][31507][MainThread][140518837950272][ms_pipeline][102][INFO]: register plot_func show_batch_qc_report to <class 'stereo.core.stereo_exp_data.StereoExpData'>-140516686761456\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<!DOCTYPE html>\n",
       "<html lang=\"en\">\n",
       "<head>\n",
       "    <meta charset=\"UTF-8\"/>\n",
       "    <title>BatchQC-Raw</title>\n",
       "    <style>\n",
       "        .div-title {\n",
       "            width: 100%;\n",
       "            background-color: #EBEBEB;\n",
       "            height: 200px;\n",
       "        }\n",
       "\n",
       "        .div-parent {\n",
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       "\n",
       "        .bold-line {\n",
       "            background-color: #EBEBEB;\n",
       "            height: 5px;\n",
       "            border: None;\n",
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       "\n",
       "        .thin-line {\n",
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       "</head>\n",
       "<body>\n",
       "<div class=\"div-title\">\n",
       "    <h1 class=\"name\" align=\"center\">Batch Effect QC Report</h1>\n",
       "    <h4 class=\"username\" align=\"center\">Report By: root</h4>\n",
       "    <h5 class=\"runtime\" align=\"center\">Report Time: 2023-06-29 18:15:46</h5>\n",
       "</div>\n",
       "<hr class=\"bold-line\"/>\n",
       "<div class=\"div-info\">\n",
       "    <h1>Data Information</h1>\n",
       "    <h2>Basic Describe</h2>\n",
       "    <div>\n",
       "        <h4 class=\"describe\" align=\"left\">\n",
       "            &#183; Number of samples in each Batch and Condition\n",
       "        </h4><table style=\"align: center;border: 2px solid #ddd;text-align: center;border-collapse: collapse;width: 75%;margin: auto\"><tr><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\"></th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Batch0</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Batch1</th></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Condition1</td><td style=\"align: center;border: 2px solid #ddd;\">1123</td><td style=\"align: center;border: 2px solid #ddd;\">0</td></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Condition2</td><td style=\"align: center;border: 2px solid #ddd;\">0</td><td style=\"align: center;border: 2px solid #ddd;\">1184</td></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Total</td><td style=\"align: center;border: 2px solid #ddd;\">1123</td><td style=\"align: center;border: 2px solid #ddd;\">1184</td></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;background-color: #F0F0F0\">Describe Note</td><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;white-space:pre-line;word-wrap:break-word;word-break: break-all;background-color: #F0F0F0\" colspan=\"2\">'condition' is the different control variables designed in the experiment. By default, a batch of data studies the same control variable.</td></tr></table>\n",
       "        <h4 class=\"f-test\" align=\"left\">\n",
       "            &#183; Variation Analysis (F Test) of Each Data\n",
       "        </h4><table style=\"align: center;border: 2px solid #ddd;text-align: center;border-collapse: collapse;width: 75%;margin: auto\"><tr><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\"></th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">N_Batch</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">N_Sample</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">F</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">P Value</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">F Ref (1, 2305)</th></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Score</td><td style=\"align: center;border: 2px solid #ddd;\">2.0000</td><td style=\"align: center;border: 2px solid #ddd;\">2307.0000</td><td style=\"align: center;border: 2px solid #ddd;\">273.6777</td><td style=\"align: center;border: 2px solid #ddd;\">0.0000</td><td style=\"align: center;border: 2px solid #ddd;\">3.8455</td></tr></table>\n",
       "        <h4 class=\"ks-test\" align=\"left\">\n",
       "            &#183; K-S Test of Each Pair Batch\n",
       "        </h4><table style=\"align: center;border: 2px solid #ddd;text-align: center;border-collapse: collapse;width: 75%;margin: auto\"><tr><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\"></th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">N-Samples</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">K-S Stat</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">P-Value</th></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Batch0-1</td><td style=\"align: center;border: 2px solid #ddd;\">2307.0000</td><td style=\"align: center;border: 2px solid #ddd;\">0.1571</td><td style=\"align: center;border: 2px solid #ddd;\">0.0000</td></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;background-color: #F0F0F0\">Describe Note</td><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;white-space:pre-line;word-wrap:break-word;word-break: break-all;background-color: #F0F0F0\" colspan=\"3\">Kolmogorov-smirnov test (K-S Test) checks whether two data distributions are consistent.</td></tr></table>\n",
       "        <h4 class=\"domain-score\" align=\"left\">\n",
       "            &#183; Domain Variance Score\n",
       "        </h4><table style=\"align: center;border: 2px solid #ddd;text-align: center;border-collapse: collapse;width: 75%;margin: auto\"><tr><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\"></th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">N_Batch</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">N_Sample</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Train Size</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Accept Rate</th></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Domain Variance</td><td style=\"align: center;border: 2px solid #ddd;\">2.0000</td><td style=\"align: center;border: 2px solid #ddd;\">2307.0000</td><td style=\"align: center;border: 2px solid #ddd;\">1614.0000</td><td style=\"align: center;border: 2px solid #ddd;\">0.0000</td></tr></table>\n",
       "        <h4 class=\"confound\" align=\"left\">\n",
       "            &#183; Measures of confounding between Batch and Condition\n",
       "        </h4><table style=\"align: center;border: 2px solid #ddd;text-align: center;border-collapse: collapse;width: 75%;margin: auto\"><tr><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\"></th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Pearson Correlation Coefficient</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Cramer'S V Coefficient</th></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Confounding Coefficients</td><td style=\"align: center;border: 2px solid #ddd;\">0.8167</td><td style=\"align: center;border: 2px solid #ddd;\">0.7074</td></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;background-color: #F0F0F0\">Describe Note</td><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;white-space:pre-line;word-wrap:break-word;word-break: break-all;background-color: #F0F0F0\" colspan=\"2\">0=No Confounding, 1=Complete Confounding. The larger the value, the higher the correlation between data batch and experimental conditions.</td></tr></table>\n",
       "        <hr class=\"thin-line\"/>\n",
       "        <div class=\"div-parent\">\n",
       "            <h4 class=\"div-visualization\" align=\"left\">\n",
       "                &#183; Distribution Visualization\n",
       "            </h4>\n",
       "            <div class=\"curve\"/><table style=\"align: center;border: 0px;text-align: center;border-collapse: collapse;table-layout:automatic;width: 100%;margin: auto\"><tr><td style=\"align: center;text-align: center;padding: 15px;\">Kernel Distribution Curve Of Umicount Total</td><td style=\"align: center;text-align: center;padding: 15px;\">Cdf Curve Of Umicount Total</td></tr><tr><td style=\"align: center;text-align: center;padding: 15px;\"><img 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width=\"568\" height=\"320\"/></td></tr></table>\n",
       "            <div class=\"plot\"/><table style=\"align: center;border: 0px;text-align: center;border-collapse: collapse;table-layout:automatic;width: 100%;margin: auto\"><tr><td style=\"align: center;text-align: center;padding: 15px;\">Box-Plot Of Umicount Total</td><td style=\"align: center;text-align: center;padding: 15px;\">Umicount Scatter Plot For Each Spot</td></tr><tr><td style=\"align: center;text-align: center;padding: 15px;\"><img 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cEkyqmsaVPXh50AiIiIiIiIiIiIiIgonVigiIiJKIOnJhjHbrEIrqgzrFC+Kb5czkCV0h3pqRJQonDLwoe9A0YEZ/4Xy1Jdxg34HcoSTkZ1XiJwmduIvht9g6eBalOp3hvVYDVI2ypxr0INURe1bbA7UtffwCsZERER+2BxOVO6pR3VNA1ptA8Pbc8zJKC3OR3lJAczGsZ+ZiIiIIuFYe4/X7ycl+DmQiIiIiIiIiIiIiIjCiYEiIiKiBJJs0Hn9bEKf4jBRizQJ33WuRg9S8ErSj6AXpHBNk4ji2UdDwKDvXed84TOUGOoiO58wsIonsFr3j7BVc2uWLageWohK1xLFYSKP7n7fYS4iIqKJrqGjF2WbatDY2TdmX6ttAOt31GLLoeOoWlGM/MlpUZghERFNdDaNn+f4OZCIiIiIiIiIiIiIiMKFgSIiIqIEkqz3DhSV67YrrkyUK57EYvEgrta9yTAREfl32M9CplQBmTMcAISITidclurfCtlYDVI2bnfeBgNc6EYa6uQ8SBB9thUhYbrQBDN6YUMajo1qm5ES+1UVXJKMY+09sPU7YU4xYHpWOnRiYjwuiIgoNtkcTr9hopEaO/tQtqkG2ypKYGKlIiIiijCzxs9z8fA5kIiIiIiIiIiIiIiI4hMDRURERAlk0OUa/rcICaX6nar636h/BSahP9TTIqJE0SMBx4Z87ztHD+gSJzQyRbCHZJwGKRtlzjVolHMCtjOhD+W67SjV7/SqjNQiZ6J6aBEqXUuQZragMCs9JPMKB5vDico99aiuaUCrbWB4e445GaXF+SgvKYCZi7eJiCgMKvfUBw0TeTR29qFybz0qFhWFeVZERETepmelI8ec7PV5KZhcszGmPwcSEREREREREREREVF8831ZbCIiIopLKUmnssLThSavRelKMExERAG97wRkP/tmRSYoIvs7fhh0yibNfZtlCx5wXoerBtcGDRNZhVZsTboHqw2bx7xu5wpdWG3YjK1J9+B7s8SYrfTT0NGLpRv2YP2O2jGL41ptA1i/oxZLN+xBQ0dvlGZIRESJyiXJqK5pUNWnen8jXFIE31QQEREB0IkCSovzVfUpnWuN2c+BREREREREREREREQU/xgoIiIiSiCnTUoZ/rcZXLRNRCF22Ol7u0UETtNFZApCBNdR7Xadq6nfzYN3Yv7ABjzkWoYepAZsa0IfqgzrkC+2BWyXL7ah7Oj/Ag6bpjmFk83hRNmmmqCVIRo7+1C2qQZ2h5/HERERkQbH2ntUVXoAgBabA3XtPWGaERERkX/lJQWwWgJ/TvSwWlJRPr8gvBMiIiIiIoL7gi21rXYcqO9EbaudF2IhIiIiIiKaQPTBmxAREVG8OGNy2vC/bUgL0JKISKV2F9As+d43yxDZpE8EuGTgWdd8XKN/U3XfbjkdksJrN5TrtgcNE3mIJ+vx2cu/Q++8OzE9Kz1mrlJduac+aJjIo7GzD5V761GxqCjMsyIioonC1q8tqNqtsR8REdF4mI0GVK0oDnpRBqslFVUrimEyRqYaMBERERFNTDaHE5V76lFd0+B1wZYcczJKi/NRXlIAM9+TEhERERERJTRWKCIiIkog/UOu4X8fk/PQImdGcTZElFD8VScC3IGiBKMTAL3gJ0AVRLfCQKcICaX6narGFg89gSXrd+Gie3fiwR1HYItytR+XJKO6pkFVn+r9jby6IRERhYw5Rdv7kAyN/YiIiMYrf3IatlaUYPUVM5FrNnrtyzUbsfqKmdhWUYL8ybxYEBERERGFT0NHL5Zu2IP1O2rHVH9utQ1g/Y5aLN2wBw0dvVGaIREREREREUVCVCoU7d69W1G7Sy65JCTjxJpg50VERKRVS7dj+N8SRFQPLcJqw2bF/e2yESbBEbwhEU0ssgy85ye4Mk0HZCbmdQpschpa5EzkCl2K+7hkARKUVQ6aLjSpGhsApgqdKBSacNR2OtbvqMXmg5/iL/8zN2oLzY6194z5j8ZgWmwO1LX3oCjHFKZZERHRRDI9Kx055mRVv49yzUYUZqWHcVZERESBmY0GVCwqwqoFM1DX3oPuficyUgwojKFqtERERESUuGwOZ9CqmQDQ2NmHsk012FZRwuqZRERERERECSoqgaLLLrsMghD4P0QEQcDQ0NC4x4k1Ss6LiIhIq1abdxio0rUEy3W7kS+2Be3bIGXjBdeXcJvh+XBNj4jiVYML6PZTUSYBqxN5dMGkOpipE2S8kvQjbBy6Go+5roYdqX7bmqHtqn4ZI/p92tWPrzy8Fy99vwR5k/wfSxXJBZyoBRzdgDEDmDITEHU+m9r6tVVI6tbYj4iIaDSdKKC0OB/rd9Qq7lM618rF2kREFBN0osCLLRARERFRxFXuqQ8aJvJo7OxD5d56VCwqCvOsiIiIiIiIKBqieilxWZYDfoVqnFj7IiIiCpfGDu8//NqRijLnGjRI2QH7NUjZKHOuwV9dC2CTU8I5xYBOSFxAQRSTDvsJf+gAnJOYgaJm2YI6OQ+VriVBX0NH0wsSbjM8j61J98AqtPpsI0JCpmDXNLdueFcj6u534ssP7kFDh7aA0jBHN7DrPmD9OcCj84A/X+n+vv4c93ZH95gu5hRt93+Gxn5ERES+lJcUwGpRFqy1WlJRPr8gvBMiIiIiIiIiIopRLklGdU2Dqj7V+xvhkrjeiYiIiIiIKBFFNVAkCILPr1CNE2tfRERE4ZakG/v7plHOwdLBtXjAeR2aZYvXvmbZggec1+H6wZ/gRt3LeD15NcxCf6SmO8YUUdvieiIKoyEZ+MBPoKhID6Qk5vvcvw4tgAQRdqTiRuePMCSr/+iUL7ahyrAO6TgV9jShDxW6Z7Av+Xb8Kel3qsf0BJ1G6+53omxTDewOjZV/OuuAxy4Bdq0F7M3e++zN7u2PXeJuN8L0rHTkmJNVHSrXbERhVrq2eRIRUdi5JBm1rXYcqO9Ebas9LhaLmI0GVK0oDhoqslpSUbWiGCYjg61ERERERERENDEda+9Bq21AVZ8WmwN17T1hmhERERERERFFkz6aB/dVrUdL8CYeqv4wUERERJEwfUo6dn58Ysx2O1LxkGsZHnFdg0KhCRnoRTfSUC/nokR4D9uSf4zJGitlEFGC+3gI8Pf/SrMSdzHuDfqdAARUupbAABf0gqRpnHyxDeW67XjItQxWoRVVhnXIF9s0z6t6aCEkP9eFaOzsQ+XeelQsKlI3qKMbqLoW6KoP3K6r3t3uljcAoxkAoBMFlBbnY/2OWsWHK51rhU7k5yMiolhjczhRuace1TUNXotKcszJKC3OR3lJAcwxHMTJn5yGrRUleHxvPar3N6LF5hjel2s2onSuFeXzCxgmIqKIcEkyjrX3wNbvhDnFgOlZ6XwPTEREREREMcHWr+3CZN0a+xEREREREVFsi2qgiIiIiEKrIEjFBwkijsqnw4Q+3KJ7ATfqt8MkqLsCFRFNMIf9/AeREe4KRQkqRziJ1YbN+IbuNVQPLRjXWKX61/Cka/G4w0QNUjYqXUsCtqne34hVC2aoW6z41sbgYSKPrnpg/0bg0ruGN5WXFGDLoeNo7Ozz3+9zVksqyucXKJ8bERFFRENHL8o21fh8LW+1DWD9jlpsOXQcVSuKkT85LQozVMZsNKBiURFWLZiBuvYedPc7kZFiQCEX8hNRhMR7OJOIiIiIiBKfOUXbZ5IMjf2IiIiIiIgotvm+tHWECIIw5itU48TaFxERUSScVHBlKKvQiu1Jd+E2w/MMExFRYH0ScHTI975zDIA+8d/n5omd+EHSlnGNMVXoxB36f4w7TFTmXIMepAZs12JzoK69B5BcQNuHQONb7u+Sy3cHyQUcrFQ3mQOVXuOZjQZUrSiG1RJ4blZLKqpWFMd2ZQiltxsRUQKxOZx+w0QjNXb2oWxTDeyO2L8arU4UUJRjwpwCC4pyTAwTEVFENHT0YumGPVi/o9YrTAScCmcu3bAHDR29UZohERERERERMD0rHTnmZFV9cs1GFAa5sCURERERERHFp6hdUlyW5Zgah4iIKBHkmAL/8deEPvzF8BucJnZGaEZEFNfeHwIkP/tmxXAoJAZdo9unqV+zbEH10EJUupYEDRMB7tf51DcfAI79DbA3j9gxFZhdDsy7FTBmnNp+ota7nRL2JuDEESD7rOFN+ZPTsLWiBI/vrUf1/ka02BzD+3LNRpTOtaJ8fkHshokc3e5KTQcrld1uREQJpHJPvaIqc4A7VFS5tx4Vi4rCPCsioviiNpy5raIkdt8bExERERFRQtOJAkqL87F+R63iPqVzrbxgCxERERERUYKKSqDoX//6V0yNQ0RElCjOnGoOuL9ctx1W8USEZkNEce+wnwoEkwRgmi6yc4lzkwT1VyG/efBO7JK+CElhYVmr0Ioqwzqc9m8flZDszcCutcC71UDZs4Cl0L3d0a16Xu5+J8dsMhsNqFhUhFULZqCuvQfd/U5kpBhQmJUe2//R2FkHVF0LdNWP3efvdiMiShAuSUZ1TYOqPtX7G7FqwYzYfm0nIoowhjOJiIiIiCielJcUYMuh44o+x1gtqSifXxD+SREREREREVFURCVQdOmll8bUOERERIki0KI+ERJK9TsiOBsiimsdLuAzl+99swyAED+LiGU5utPtk5OQKgyq7tctpysOE5nQhyrDOuSLPsJEI3XVu8Mzt7wBGM3aq+4YJ/ndpRMFFOWYtI0baY5u/2GikUbfbkRECeJYew9abQOq+rTYHKhr74mf13oiojBjOJOIiIiIiOKN2WhA1YrioJVWrZZUVK0oZoVVIiIiIiKiBKZsdRoRERHFBZvDTzURANOFJuQKJyM3GSKKb/6qEwHuQFEciXb2SdbYrxtpituW67YHDxN5dNUD+ze6/z1lJmCaqm5ipjxgSoJcTf2tjcHDRB4jbzciogRh6w/w+z6Abo39iEg5lySjttWOA/WdqG21wyVpfVdJ4TaecCYREREREVG05E9Ow9aKEqy+YiZyzUavfblmI1ZfMRPbKkqQP1n5/1UQERERERFR/IlKhSIiIiIKj65e/xUwzOiN4EyIKK7JMvCen4XCp4nAZF1k5xPHmmQL8oRO1f3a5QzUyXmK2ror0O1Ud4ADlcDFdwKiDphdDuxaq7zvnHJ3v3gnuYCDler6jLzdiIgSgDlFW0g4Q2M/IgrO5nCick89qmsavEIqOeZklBbno7ykAGZeGTqmMJxJRERERETxymw0oGJREVYtmIG69h509zuRkWJAYVY6K6oSERERERFNEKxQRERElEB6HUN+99lUVLqgickli/j5QBm2DM2P9lQo2o67gC4/V0CflRTZucSxBikbvx68QVPfHa4vQlL4cc1dga5L3QHsTcCJI+5/z7sVyCxQ1i+zAJh7q7pjxaoTtYC9WV2fkbcbEVECmJ6Vjhxzsqo+uWYjCrPSwzQjoomtoaMXSzfswfodtWMq3rTaBrB+Ry2WbtiDhg5eMCSWMJxJRERERETxTicKKMoxYU6BBUU5JoaJiIiIiIiIJhAGioiIiBKIC34CAACOyXlokSdFbjIUN1yygMOuAtww+CP8Rb4CJbr/RHtKFG3v+rlStgjgHBY5DaZZtuAB53W4anAtjmCapjH+7rpMcVvNFegcJ93fjRlA2bPBQ0WZBe52RrO7uk/bh0DjW+7vkkvbHKLJ0a2x38mQToOIKJp0ooDS4nxVfUrnWrmohCgMbA4nyjbVoLGzL2C7xs4+lG2qgd3B6jaxguFMIiIiIiIiIiIiIiIiildcDUhERJRAbH3+FxRJEFE9dDlWGzZHcEYUq/pkPd50nYsLdEeQKfRilq4ef9OtwwnZjCmCLdrTo2hyycB//LyWzNADabwmgS/fH1yJ43IWupGGOjlvuLrQMdmIFjlTdQWhjUkPonpoESpdS2BHasC2mivQGSed+relELhlN7D/MeBApbsSj4cpD5hT/nllIhnYdR9wsNK7uo9pKjC73F3tyJihbT6RpnWeI283IqIEUF5SgC2HjgcNMQCA1ZKK8vkF4Z8U0QRUuade0fMQcIeKKvfWo2JRUZhnRUp4wpnrd9Qq7sNwJhEREREREREREREREcUCrgYkIiJKIJ29gwH3V7qWoFGaEqHZUCxzQY9F+n8jU/CubMIwEeHIEODws2+WIaJTiSf/kQtwUD4TR+XTh8NEgCfMuUj1eLlCF1YbNmNr0j2wCq0B27or0GWqO4ApD5gyagGqMQO49C7gjveBlfuBm192f7/jfff2vhPAY5cAu9Z6h4kA98+71rr3d9apm0u0TJnpDkKp4et2IyKKc2ajAVUrimG1BA6wWi2pqFpRDJOR7weIQs0lyaiuaVDVp3p/I1yS/yrFFFnlJQVBX0c9GM4kIiIiIiIiIiIiIiKiWBG3gaIf/OAHuOCCC3x+/eQnP4n29IiIiKKid2Ao4H47UvFt5xq0ynFSPYLCxiT4S4zQhHfYT3WiZAAzWeDUlyFZRJs8ye/+StcSNEjZmsbOF9tQZViHdPi/Wr2m0NKcckDU+d4n6oDsswDrPPd3UQc4uoGqa4Gu+sDjdtW72zniIJwo6txVldQIdLsREcWx/Mlp2FpRgtVXzESu2ei1L9dsxOorZmJbRQnyJ2usikdEAR1r70GrbUBVnxabA3XtPWGaEanFcCYRERERERERERERERHFo7hdEbhr1y78+9//hiAIkGXZ6/vGjRujPT0iIqKoCHR1YhP6UK7bjlL9DuQI3RGcFRHFjX4ZqPUTTDzbABiEyM4nTugFCTfqXsFDrmU+99uRijLnGlQZ1iFfbFM9fr7YhnLddr/jA+7Q0nLdbmXjZxYAc29VN4m3NgYPE3l01QP7N7qrGsW6ebcC71YrOzcttxsRURwxGw2oWFSEVQtmoK69B939TmSkGFCYlQ6dyPcAROFk6/cT6g+iW2M/Cg9POPPxvfWo3t+IFtupC3nkmo0onWtF+fwChomIiIiIiIiIiIiIiIgoZsRtoOjTTz+FIIxdzDBt2jQUFxdHYUZERETRd6J30Od2q9CKvxh+A6t4IsIzIqK48oETcPnZdz4XvQVyo/5lvCLNwRH5dEg+CsE2yjlYOrgWN+m2o1S/E1OFLlXjl+pfwyOua3yODagILWUWAGXPAkaz8oNLLuBgpar54kAlcPGdsV/Nx5jhvj2CVV/ScrsREcUpnSigKMcU7WkQTSjmFG3vtTM09qPwYTiTiIiIiIiIiIiIiIiI4onv1WhxoLv7VGWFkdWJLrrooijOioiIKLpckjRmmwl9+KvhVwwTEVFwh/1c4dwsAPkxHgyJsimCHS8n3419ybejQvcMTOgb08aOVDzkWoabBn+kevypQicKhaaAbTyhpQec16FZtnjta5Yt+JPhm2j8+suApVDdwU/UAvZmdX3sTcCJI+r6RIulELhlN7Dgx4Apz3ufKc+9/ZY31N9uRERERApNz0pHjjlZVZ9csxGFWelhmhGNlyecOafAgqIcE8NEREREREREREREREREFJPitkKRP2effXa0p0BERBQ1TtfYQNEtuhdwmtgZ9mPbpWT8U5qPhbp3VFfeIKIY0CUBjX7KE51nAHxUB6WxcoUurDZsxnLdbpQ516BRzhnTJh39msbOQG/QNp7Q0iOua1AoNCEDvehGGurkPEgDIp6s+hDbKibDZFRxNXtHd/A2Pvud1NYvGowZwKV3uasqnTjinrtxEjClKParLBEREVHc04kCSovzsX5HreI+pXOtDKkQERERERERERERERER0bjEbYWi9HTfV1/MzMyM8EyIiIhihzhqwb8ICTfqX47IsU3iAFpkCy4eeBBdclpEjklEIfSen+pEAHC+ivAJAQDyxTZUGdYh3UelIhu0vUZ2q+gnQcRR+XQclM/EUfl0SJ9/9Gvs7EPl3nrF47gkGR90aVyoapykuotLklHbaseB+k7UttrhkmRtx9ZK1AHZZwHWee7vDBMRERFRhJSXFMBqSVXU1mpJRfn8gvBOiCgORP3zAxERERERERERERERUZyL2wpFGRkZ6OoaW/0gOTk5CrMhIiKKDenJ3r/ai4TjMAmOiB2/VL8Tr0hzkCkEr6JBRDFEloHDfgJFU0Ugi6EKLfLFNtysewkvSXNhRi9sSMMxOQ9t8iQMySL0wtiqcv40yxbUyXkhmVf1/kasWjAj4BXtbQ4nKvfUo7qmAe22fuxLzkSumupzpjx3dR+FRh6v1TYwvD3HnIzS4nyUlxTArKaqEhEREVGcMRsNqFpRjLJNNWjsHBtK97BaUlG1olhdxUmiBMPPD0RERERERERERERERKERt4GiwsJCfPLJJxBGVWLo7eUCZiIimrisk1O8fj5baIjo8acKXfi+bktEj0lEIdAkAR1+wi3nhW8RVrXzMnxd/zr0QuJeRfr7+mewWjj1utgiZ6JOmqoqTAQA1UMLh6sMjVeLzYG69h4U5Zh87m/o6B21kFVE9dAirDZsVnwMafZNEP1U93FJMo6198DW74Q5xQC9KOCmyrd9LpxttQ1g/Y5abDl0HFUripE/mRXwiIiIKHHlT07D1ooSPL63HtX7G9FiO3WBkFyzEaVzrSifX8AwEU1oYz+vnMLPD0REREREREREREREROrEbaBo5syZ2Llz55jtn376aRRmQ0REFBuOtvWM2uK/+kS4/Lf+7Ygfk4jGyV91IgFhDRR9Vf9mQoeJAEA36vxyhS7k6lRU+gEwJIt4wrVYVR8REqYLTV6VkUYGkj5usfsMFNkcTp+L8ypdS7Bctxv5YlvQYzdI2RiaXobpPsb2dRVxnQC4gjwMGjv7ULapBtsqSriAloiIiBKa2WhAxaIirFowA3XtPejudyIjxYDCrPSAFSaJJgJ/n1dG4+cHIiIiIiIiIiIiIiIiZUJziesomDt3rs/tH3zwQYRnQkREFDs+aPYOFH0oW6M0EyKKGy4ZeN9PoKhQB6SH7yNDmjAQvBFBL0i4U/cPmBB40RwAmNCHCt0z2Jd8G15Nvgtbkn+BV5Pvwr7k21Che2Z4jN+8+CHsjrH3e+Weep+L8+xIRZlzDRqk7IDHb5CyUeZcgw87R23v6MXSDXuwfketV5gICB4m8mjs7EPl3npljYmIiIjinE4UUJRjwpwCC4pyTAwTEcH/5xVf+PmBiIiIiIiIiIiIiIgouLgNFF155ZVePwuCAFmW8eabb2JoaChKsyIiIoqu0cuLjsino0c2RmUuRBQnjg0BfX4SHbOSIjsX8utGw6t4I+n7OFuo99vGKrRiW9LdWG3YjFzhpNe+XOEkVhs2Y1vS3bAKrWjudoxZXOeSZFTXNIwZV4SEIuE4snASFc5V+J1zOZpli1ebZtmCB5zX4arBtWiUc7wCS0qvIq5E9f5GuKTErmpFRERERERj+fu8Egg/PxAREREREREREREREQUWt4GinJwczJ8/H7Ls/Z9BdrsdL774YpRmRUREFF1nTEnx+lmCiCeGrvTTmogIwGE/1YkMAM7SR3QqFNgksRf/TPqJz1CRCX34q+FXsIonAo5hFU/gr4ZfIR19YxbXHWvv8aoedKra0e3D1Y6eT/4ZSvWv4W9DC/DVgV9i+cDPcPnA/Zg/sAEPuZahB6kAMBxYckky/r/tHw+HiTzhpNnCxygSjkOEpOo2aLE5UNfeE7whEREREREllNGfV5Tg5wciIiIiIiIiIiIiIqLA4jZQBACrVq3yuf2BBx6I8EyIiIhiQ4rBMGbbRtfV+EyeHIXZEFHMc8jAx36qe55tAJJG1z2jaDMIEv6a9Bukw7vazy26F3Ca2KlojNPETtyie2HM4jpb/6lwmVVoxdakez6vdtTl1T9X6MIdhi3YYHgY7ZiEo/LpkHx8tPzD7jp8ad0OVL3V4DOc9GryXdiXfDsqdM/ABOXVi7r7/YTgiIiIiIgoYdk0fg7g5wciIiIiIiIiIiIiIiL/4jpQdN111+HMM88c/lkQBMiyjD179uDpp5+O4syIiIiio6V77IJsO1LxzcGf4FMpKwozIqKY9qET8JMnwqyxAUWKDZOEXvzB8LvhEI4ICTfqX1Y1xk36VyBCwvufdQ9XKTKnuO9zE/pQZViHfLEt4Bj5YhuqDOvGhJs8egaG0GYfDBpOWm3YjK1Ja2AVWhXNPSOFj01/XJKM2lY7DtR3orbV7lWBioiIiIgonpk1fg7g5wciIiIiIiIiIiIiIiL/4jpQpNfr8eijj0KWTy2S8oSKvve97+HIkSNRnB0REVHkOSXf2xvlHPz34Do84LwOzXJmZCdFRLHrsJ8rNacLwBm6yM6FVLlI98FwCKdIOA6T4FDV3yT0Y4ZwHHc8/S7m/PpV/PS592FJS0KOORnluu1Bw0Qe+WIbynXb/R9HcTipHf80/AS5OBGwXa7ZiMKsdEVzm0hsDice3HEEF927E4vX78Z1G9/E4vW7cdG9O/HgjiPoHfSXHCQiIiIiig/Ts9KRY05W1YefH4iIiIiIiIiIiIiIiAKL60ARACxYsAA//OEPx4SKurq6sHjxYtTW1kZxdkRERJFVMNn/Igk7UvGQaxnmDzyEFYOrIzgrIopJ3RJQ7/K97zwDIAqRnQ+pli+2o8qwFleKNZr6ny00AgC6+pyoeqsBc3+zE6ebk1Cq36lqnFL9axDhO9GqJpw0SezF9uTAlYpK51qh42PTS0NHL5Zu2IP1O2rRahvw2tdqG8D6HbVY+ZdDQcdhdSMiIiIiimU6UUBpcb6qPvz8QEREREREREREREREFJg+2hMIhXvvvRfHjh3DM888A0Fw/+eQIAhoaGjAhRdeiHXr1mHlypVRniUREVH46YTgi38liPiXdAFa5EzkCl0RmBURxaT3/FQnAoBZhsjNg8YlX2zHavGZkIzlkmXYPvsQucnqfjdMFTpRKDThqHy613YRkupw0iShF1WGdbhqcC16kOq1z2pJRfn8AlXjJQqXJONYew9s/U6YUwyYnpUOnSjA5nCibFMNGjv7AvZv7vZfwcrmcKJyTz2qaxq8Akk55mSUFuejvKQAZqOy1wR/8wxIcgEnagFHN2DMAKbMBERWSKOJRdNzh4iIaAIqLynAlkPHg77/BSb25wciIiIiIiIiIiIiIiKlEiJQJAgCnn76aXz3u9/Fn//8Z69Qkd1ux+23347q6mrcc889WLJkCUQx7gszERER+fRBU7eidhJEVA8twmrD5jDPiIhikiwDh/0EirJFIJeL+SeCD+WxV/c2o1fTWBk++k0XmjQFV/PFNpTrtuMh17LhbVZLKqpWFMOkMNiSKEaHfURImC40oSDNiUvOm4GWpGmKFlP609DR6zeQ5KlutOXQcVStKEb+5DTF8/QIGEpydANvbQQOVgL25lPbTVOB2eXAvFvdASMFGMageBXKQB8REdFEYDYaULWiOGiofqJ+fiAiIiIiIiIiIiIiIlIrIQJFACCKIv70pz9hzpw5+OEPf4i+Pvd/JgmCAFmW8eabb+Lqq69Gbm4uSktLcckll+CCCy7AaaedFuWZExERhYZLknHsRL/i9k+4FqNCvwV6BVWNiCjBtEhAu+R7H6sTTQh2OQVH5bGfhWzwHxoJpNtHP63hJAAo1b+GR1zXINucitK5VpTPL5hwiwFHhn1M6EOFbjtK9TvdIa0hAO8ALXImdLpFqHQtgX1URadglFY3auzsQ9mmGmyrKPF5H2gKJXXWAVXXAl31Yw9obwZ2rQXerQbKngUshQHPgWEMirgQVdUKVaCPiIhoosmfnIatFSV4fG89qvc3osV2qhpnrtk4YT8/EBERERERERERERERaRHXgaKbb77Z5/YLLrgAb7zxhlelIll2L5Zubm7G7373O/zud78DAEyZMgVWqxUZGRkwm80wm81hrWAkCAI2bdoUtvGJiGji+rDZBj/xAJ+yhZMMExFNVP6qEwHAeVx0NRE8PrQYEsZ+7jkm56FFzlRVWahZtqBOzhuzXWs4CQCmCp341415OP3MCxK+0oyv6jq9g0PDQQOr0Ioqwzrki21j+uYKXVht2Izlut0oc65Bo5yj+LiVe+oVVzdq7OxD5d56VCwq8tquKZSEPv9hopG66t3tbnkDMJrH7J4oYQxWX4qukbf/JLEfhceqIB56fNxVtUIV6COiU/h6STSxmI0GVCwqwqoFM1DX3oPuficyUgwo5HOfiIiIiIiIiIiIiIhIlbgOFD3++OPDoSFfPCEiAF7tRm5vb29He3t7wHFCRZZlBoqIiChsdte2K25rQh/+R7ctjLMhopglycD7fgJFZ+gAc/jC9RQbXLKA96UCiJDGhIokiKgeWoTVhs2Kx6seWjg8jgDA82lLSzhppPw0J5DAiwEDVdcpnJI+XJnIX5hopHyxDVWGtbhqcB16FFQqkmQZ1TUNquZbvb8RqxbM8FqgqSmUpHsmeJjIo6se2L8RuPQuAO7F4rWtdrzT0IUHXq1FR+9g0GPGaxiD1Zeia/Tt7wn2ib6eiyqqanmEItBHRG58vSSa2HSigKIcU7SnQUREREREREREREREFLcSYrWgLMtjvvy1AdzhopFf/sYI9RcREVE49TiGFLWzCq3YmnQPrte/HuYZEVFMqnMBPX7em87iYsuJQCfIeCz5QbyZfBsqdM+4K8aM8A/XJXDKyj4qOmURT7suHf555CPLE07SzDhJe1+cCp8cqO9EbasdLil2PpM1dPRi6YY9WL+j1mvxM+CurvNmXQcAoFy3PWiYyCNfbMdjht+NuT99+bSzb8xxg2mxOVDX3jP8s0tSH0r621ufQD5YqaoPDlTC1ufA/ds/wqxfvIwvP/gG7nnu/aBhIg9PGCOeBHt8rN9Ri6Ub9qChozdKM0xso29/pcG+4apaDlvAZlqeO9X7G2PqNYwmjlj+XQrw9ZKIiIiIiIiIiIiIiIiIaLziukKRh6/qQv4CPKO3jwwVhRtDRUREFE5DshS0jeIFkUSUuN7zU51ID+BsBoomkhzhJFYbNmO5bjfKnGvQKOcAAL6m2w2DEPx3CgAYBAnf0u3AA67rfe6vdC3Bct3ryBeVV9EDAJjy4LLMwLFWO2z9TphTDJiele5VHcefWK9UYHM4UbapJmh1EhESSvU7VY09X/cBtgr3eN2fvvQMKAshj9bdf+r141h7j+pQUlrPJxCczeoOam/CLev/hjftWer6jeCrulKsUvr4iOfqS7HM1+2vJtg3uqqWL1qeO55AHyswUKTE+u9SgK+XREREREREREREREREREShMGEqFKnpy+pEREQUjwQE/32jakEkESWeQRn40E+g6Cw9kBz7i+0p9PLFNlQZ1iEdfZpCLN/Tv4ACwXdIxI5UlDnvwUkpTdWYb2Z+BRfdvwuL1+/GdRvfxOL1u3HRvTvx4I4jsDlGPYYlF9D2IdD4FppqD+ErD74e05UKKvfUB138DADThSbkCl2qxx95f/qTnqzt2iIZKacWYtv6/byWBGCGttt9sKdTUz+P0dWVYpnSxwcQn9WXYt3o21/LayIOVLpfl/zQ8twBvAN9ROEUL1V/+HpJRERERERERERERERERDR+CREo8lQZiuUvIiKicGvuDnylc00LIokosXzkBPytR57FK7ZPZPliG8p12zWFWPSChOqk3/gNsDTKOfjy4DqclJWFij4TcvCd2jnBFzE7uoFd9wHrzwEenQf8+UrkVS/A3/r+BxW6Z2DyM5/jnT346R83o+/oHncQKcDC/1BzSTKqaxoUtdUavgFO3Z/+TLOkIsecrGrMPJMBhfKnQONbQNuHMCer/3OCDeqCZR7dGvt5jdHrGA6eRfp+V0rN48Ojen8jXFJsXsTEJcmobbXjQH0nalvtMTtPD1+3v6Zgn70JOHHE725zirbftxka+xGpobbqj310yDdCEu31koiIiIiIiIiIiIiIiIgoWrRdlpiIiIhijmMw8MJYrZUOiCiBHPaz6DNNAKbzo8FEV6p/DW8Nnq2pb57QiXLddjzkWuZzfzOm4CuDv0aVYV3ASnmfCTn4puNu9CDVb5vGzj786I/Po9p4H8ST9WP25wpdWG3YjOW63ShzrkGjnAMAMKEP5brtKNXvRK6jC/jL5x3Sc4GzrwbOXAKYTwOmzAREnaLzdkkyjrX3wNbvhDnFgOlZ6dCJ/i8ocay9Z0xQyh+t4RuPUv1reMR1DSSImJphBEYElERBQGlxPtbvqA06jud2+67wOnQb24e3F6VOxv2pF+I3fcvQjXRFc+pNPwOycSoEu++KVr4MySKGoOz+8MUz/y9suQPobR2xYyowuxyYdytgzNA8fiipeXx4eKovFeWYwjQr9WwOJyr31KO6psHrfHLMySgtzkd5SQHMxtgLx/i6/TUH+xwn/e6anpWOHHOyqvs612xEYZay5xnReGip+lOxqCjMsxorUV4viYiIiIiIiIiIiIiIiIiiLa5XDVqtVlb/ISIi+lzvYOCrQ4+n0gERJQC7BNT5CR6eawAChCBoYpgqdMIsKFtE7MvIAIsvjXIOlg6uxU267SjVv4apQuepnaY8vJn5FXyndk7AMBHgDojc1/cziA7/wSTAXaWnyrAOVw2uhUWw+w8z9bQAb//R/QUoCppoDUzY+pVXcjgm56FFztQcBp4qdKLY1IGL5s3H186fjJq9b3jtLy8pwJZDxwMuHLcKradut0HvfUJfB76O7ViW/AqeGFqM37uugz3IffeNeWdA0JUDu9YqPg+9IOEJw324anBt0MdGwPmPfhtkb3bP491qoOxZwFKoauxwUPP4GKlbY79waOjo9VvdxFNlbMuh46haUYz8yeOvPBVKvm5/rcG++l4Dpkmyz4ChTlQe6PMonWsNGFYkCgWtVX9WLZgR8cdnIrxeEhERERERERERERERERHFgrgOFNXX10d7CkRERDHD5ZID7h9vpQMiinPvOwF/LxOzYq9SBEXHYvEAWuVJyBFOqu47VehEodCEo/LpftvYkYqHXMvwiOsa/PMb2TjXIgPGSXBZZuB/79+FHgSvNlCu2x6wytFI+WIbbtW9gKt1byruMxw0OfQEsPjXQPbZXlWLxhOYMKcof65JEFE9tAirDZsV9xntqRvOhK6gCDabbcw+s9GAqhXFfs/FhL6gFaUAd+BnhWE7rtAdwLecPx6uCDWa1ZKK8vkFAG51h3i66hWfR77YFrACli9K54+ueqDqWuCWNwCjWfH44aDm8TFShsZ+oWZzOP0+nkZq7OxD2aYabKsogSmGKhX5uv21BPuaZQsWPtGELHOX34ChkkCfx6nnDlF4xVPVn3h/vSQiIiIiIiIiIiIiIiIiihW+Lx1NREREcacryNWWPQsiiWiCOuznNWKKCEzlxwJyu17/OjLGUdEuUF8REoqE45gtfIzpQhOSc84ErPOA7LNwrKNf0SJmERJK9TtVzelG/SvKw0Qj2T4DNpcDj84D1p8D7LoPtpMdqgITdof38256VjqmmvTDt0ORcBwiJL/jVLqWoEHKVj/3z+mcPQH3509Ow9aKEqy+YiZyzUavfben7VB1u1nFE6gyrEM6xt42VksqqlYUu8Mjxgzghs2AoFM8NuCugBXothpNTfAMXfXA/o2q5hMO07PSkWNOVtUn12xEYVZ6mGakTuWeekUBGcD9HKncWx/eCank6/b3BPvUqB5aCAnicMBw6YY9aOjwfm30BPqslsBVt7yeO0RhFk9Vf+L99ZKIiIiIiIiIiIiIiIiIKFZw5SAREVGCSE0KXHhQy4JIIkoQbS6gxc9C/FkGQBAiOx+KaUZB+8Lgbh/V8EzoQ4XuGexLvh2vJt+FLcm/wKvJd2FG9Txg132Ao1vxIubpQpOqSiEAYBL6VbX36fOqRdLGi4GuTxR1GROYcHRDt/t+vCqs8rod9iXfjgrdMzD5COLYkYr1U+/DcWgMFW27E3CMrU40ktloQMWiIuy9eyFeveMSbL71S3j1+/PxndTXVR/OU0nII9dsxOorZmJbRYl3tSZpCJBdqsb2VMBSQkvwDAcqAUndnEJNJwooLc5X1ad0rhU6Mfqv4S5JRnVNg6o+1fsb4ZICV9iMJH+3v5pgX4OUjUrXEq9t/gKGgQJ9fp87RGEUT1V/4vn1koiIiIiIiIiIiIiIiIgoljBQRERElCAKpwRfbKhmQeSQzLcJRAnDX3UiADiPVQ8oNJrlTNTJeV7brEIrtibdg9WGzWOCQMLnIR08dgkmD36m6Bi56AjZfLWY5PjMbxUeX4YDE511wGOXALvWIn2w3atNrtCF1YbN2Jp0D6xCq9c+qyUVvyq/GlPveht9eRepn/DJBsWVd3SigKIcE+YUWFCka3bfPxpUTNqDzd8txqt3XIK9dy9ExaKisdVVHN2axlZaPWtOWrvq4BnsTcCJI+onJbmAtg+Bxrfc38cZSiovKQhatcbDaklF+fyCcR0vVI619yiqMjZSi82BuvbAVbQizdftb0cqypxrgr6HbpCyUeZcgx6Mvf/8VWTyGegL9NwhCqNYqfrjkmTUttpxoL4Tta12v8HDeH29JCIiIiIiIiIiIiIiIiKKJVwpTERElCC+mJ8ZtI3SBZGfSlPQJmeEampEFE2yDLznJ1CUrwMm8SMBhUY6+nGb7rnhSjsm9KHKsA75Ylvgjl31KHjpWyg0BQ5iWIVW3Gf4Y6imq9noKjyBtNgcqD/eBFRdC3TVBx13ZFjJaklF1YpimIwG6FInIfXbfwMmFaif8IFKQPZTocwfjYEfADD0tmBOegeKckz+K0EYtb3H8FUBazRLqgFPfessTePDcVJF2253ha315wCPzgP+fKX7+/pzhitvaWE2GlC1ojjoIvmRj49YoLTK2GjdGvuFi7/bv1HOwdLBtXjAeR2aZYvXvmbZggec1+GqwbVolHP8jh2oIpNXoC/Qc4cojKJd9cfmcOLBHUdw0b07sXj9bly38U0sXr8bF927Ew/uOALbqCpf8fp6SUREREREREREREREREQUS7h6kIiIKEHsOxpkwfbnjstZ+L5zFf46dBlOyL6vJp0p9CBPVHllfyKKTfUuwOZ7ATNmcWElhY5JcHhV2inXbQ8eJvqc0FWP30zdCwAQIaFIOI7ZwscoEo5DhDQcTsoTO8N5CoqV6l+DCGUhHeOhPwYNE3nki224PW0HVl8xE9sqSpA/eUSAxpgBXPVb9ZO1NwFdDer6aAz8DAsWzJkyEzBNVTVks2wZUwHLl5vmnwFDWvCQtU/GScrajag4hdGVnEZU3kJnnaZp5E9Ow9aKEqy+YiZyzUavfblmo+/HR5SZU7T9PsnQ2C+c/N3+dqTiH2ml2HzxS/jw2lexfOBnuHzgfswf2ICHXMt8ViYaKRYrMhGNFq2qPw0dvVi6YQ/W76gdU+2s1TaA9TtqsXTDHjR0eFeqi8fXSyIiIiIiIiIiIiIiIiKiWKKP9gSIiIgoNF58vz3gfhP6UK7bjlL9TuQKgcNC6YJD1bFdsgC7nIpJYm/wxkQUWYf9VH/QAfiv2FvITfHPU2nHKAyq6je7/Rn8v/Qu/LfzFa/fUy1yJuqkqYrDSaPZZSNMKn+vBTNV6ESh0ISj8ukB24mQkHOkWtXY3015HcI5twNtB93BnikzAVHn3ilovCbIgF1de0/gZ3RYRqlgwRxRB8wudwdvFPrr0AJIQa6JMry4PUlUP39THjClKHg7R7eiilPoqne3u+UNwGhWPo/PmY0GVCwqwqoFM1DX3oPuficyUgwozEqPyeo107PSkWNOHhMECCTXbERhlu9we7QFu/0P1HfioBz4vbcvsVaRiWg0T9Wfsk01aOzs89sulFV/bA5n0OMBQGNnH8o21WBbRYnXcePt9ZKIiIiIiIiIiIiIiIiIKJawQhEREVECaA+yeNMqtGJr0j1YbdgcNEykhU6Q8SvnDRiS+daCKKY4ZeADP4uXz9QDRi6ypPDIF9uQI5xU1Sepvw03D/19zO+pXKELF+k+0DSPBikbTwxdqalvMBkYG6IdXV1pXlob9L2tqsYVepqBjfOBP18JPDoPWH8OsOs+d5Dl45e0TTbZpK69J/CjhdJgzrxbgcwCxcN+2/AaKnTPwATfC869Frdrmf+c8lPBrUDe2qi44hS66oH9G9XNYxSdKKAox4Q5BRYU5ZhidnG8ThRQWpyvqk/pXGvMno+Hv9s/kSoyEY0W6ao/lXvqg4aJPBo7+1C5t97nvnh5vSQiIiIiIiIiIiIiIiIiiiWsUERERJQA7nj6Hb/7TOhDlWGd5soOSt2V9DT0ghTWYxCRSh8PAf6KxMziouaJolXORLI8OOGqyDXJFpQ516BLNuFq3Zsh/z3YjVMLqf1VAewXJo3/QPZmdyWfd6uBQQ33YfpUIDMfQL26fvNudR9TaXjGQ2kwx5gBlD2rrNoPgCnowmrDZnzd8AZKB+5Go5wDwL24vXSuFeXzC7wrZaiZf2YBMPfW4O0kF3CwMni7kQ5UAhffqew2iXPlJQXYcui4omDAcDWpOJVoFZmIRotU1R+XJKO6pkFVn+r9jVi1YAYDQ0REREREREREREREREREIcAyAkRERAngsy7/CzfLddvDHiYCoLoSBRFFwGE/1YlSBGAGry0wEXTKaTgm5U64MBEAGDGIa8S9AIAy5xo0SNkhG7tZtqBOzgMQuApgytDJkB0TXfVAb7v6fmeUAC3vq+/nCfxMsirvozSY42EpBG7ZDSz4MWDKVdTldLRiR9bv8czN5+LVOy7B3rsXomJRkXeYaOT8g1VByixwtzOagx/8RK074KWGvQk4cURdnzhlNhpQtaIYVktqwHZe1aTiVKJWZCIaLdxVf46196gK5gFAi82BuvaekM6DiIiIiIiIiIiIiIiIiGiiYqCIiIgoASTpfP9KFyGhVL8zwrMhopjQKwFHh3zvO0cP6LioeSKwCL24SPdhtKcRFRahB6sNm7E16R4AwNLBtXjAeR2aZcu4x96mvwISxIhVARyX9/4BPPtd722DChdiWwqBW/cA874HCEEq7KgJ5oxkzAAuvQu44CbFXZJsDbig+e/BF7d7BZbyvPeZ8tzbb3nD3U4JR7fiOXr3O6mtXxzKn5yGrRUlWH3FTOSajV77cs1GrL5iJrZVlCB/cpqfEeJHeUlB0PCUR7xXZCIKF1u/n/B7EN0a+1HkuSQZta12/KdJ4+9QIiIiIiIiIiIiIiIiIgorXpaciIgoAZydl46P28ZWn5guNI2plkBEE8T7TkD2s29W/FaFIFIrX2xDlWEdrhpci4dcy/CI6xoUCk149KpsFDS9gKQPtqge03jW5VhtmQnjvt8i3xXDYSJ/nv428I0/+A7SSC53JR5HtzvsM2UmsORe4JK7gF3rgPe2AP0dp9qnZgHF/wPMW6k+TDTymIeeUNfnQCVw8Z2AGCTo5AksXXynu1KQ4yRgnARMKQre19dYWhgnaesXp8xGAyoWFWHVghmoa+9Bd78TGSkGFGalB61u4pJkHGvvga3fCXOKAdMV9IkWT0Wmsk01aOz0Xy00ESoyKRVP9x/FBnOKtudFhsZ+FDk2hxOVe+pRXdOAVtsAclNkrPnCqf29g0PQ+K6BiIiIiIiIiIiIiIiIiEKIgSIiIqIEMOjnAs1mjA0ZEdEEcdjPC4NFBE5XuYieKM7li20o123HQ65lkCDiqHw6mrMuxO/faMajUB8ouuo/q2G86Fa4xB2AKwwTDjdbE1D538D1fwHyvugO1ji6gbc2AgcrAXvzqbamqcDscmDercDCnwApFuDAJqC33b2/rx04+DgAwd1GS+jmRK33MZWwN7kDQtlneW/3FYgSde6v0W3VmjLTfXuomaspzx1emoB0ooCiHJOitqMXnnvkmJNRWpyP8pICmIMFcvzd92Hkqcj0+N56VO9vRIvNMbwv12xE6VwryucXJHyYKCT3H01I07PSkWNO9nrcBJNrNqIwKz2Ms6LxaujoDRq2XPmXQ/h92ZcSomIdERERERERERERERERUTxjoIiIiCgBTDEn+9xuAxfnEE1IJ1xAk+R733kGQGC1AIqcFmkScsWT0Z4GbtDvxCOuayBBRFZ6En7y3Psw2nSA71+hAWXCDuz7/0I/yUiyNwN/WuQOyPzXNcDH24CTjb7b7VoLHHoSgAzYPvPf5t1qoOxZ35WPAnF0azkDd7WhkWMEC0RprTDkIercY+1aq7zPnHJtoZYohGP8CXfVmUALz1ttA1i/oxZbDh1H1Ypi3wvPI3HfBzCeikyJYNz3H01oOlFAaXE+1u+oVdyndK51Qjy34pXN4QwaJgKA5m4HyjbVYFtFScKHLomIiIiIiIiIiIiIiIhiGQNFRERECeDsXLPP7cfkPPTIRqQLDp/7iShB+atOBACzuGCPImun64vocpmxXP8Gpgqdw9ubZQv+OrQAN+h3Ikc4GfZ55ApdKBSacFQ+HTOyTXizrgMi8tAiZyJX6Ar78YelTAb6OyJ3vGDszcD+/wveznY8eJuueqDqWuCWNwCj7/cmPmkNexgnub931rmP21U/ts14w06jzbvVPZavY42WWQDMvVXd+FEOx4wUiaozSheeN3b2+V54Hsn7Pgg1FZkSxbjvPyIA5SUF2HLoeNDHEQBYLakon18Q/kmRZpV76hXdl4D7taFybz0qFk3MSn5EREREREREREREREREsWBCBYrq6urwzjvv4P3330d9fT2am5vR0dGB/v5+DAwMwOVyhX0O559/Pp599tmwH4eIiCaW3sEhn9tFSBAgR3g2yhxyTccFumPRngZR4pFl4D0/gaLTdYBFjOx8aMK7wfAvNEjZ+Obgj6GHCxnoRTfSUCfnQYIIAcAdhi0RmUsm7DhtkhEftbgr4kgQUT20CKsNmyNyfADATS8Ags5dXSfJhJ4/fxXpg+2Ku58UM9EjGXA62sI3x/Hoqgf2bwQuvcv9s5JKO1NmugMzIwM0waRMBqQhoK/Tf6Bk9LxGhJ00V90xZrjDKcGOmVngbqcmWBVD4ZhIVZ0Z18JzR7em+55Ch8EBCgWz0YCqFcVBw2lWSyqqVhQzlBbDXJKM6poGVX2q9zdi1YIZrDpFREREREREREREREREFCUJHyjau3cvqqqqsH37dnz66adj9styZBdZT5kyJaLHIyKiieFk76DXzyb0oVy3Hd/Wv4I0YcBPr+hplKZgpfP7+Lvwa+SLMbogmiheNbqAk37e47I6EUVJvtiGJwz34qrBdTiK0732vS7Nwh2ITKAoO2kARwZdONl3Kohb6VqC5brdkfl9ZMoDss4aDtS4JBnVroX4Lv6ueIhNA4vwuGsJbtJtR6n+Na+qTzHjQCVw4XeAmj8oq7Qj6tzbdq1Vfoz+DmDjfCApHRjsUdanqx6OvY/gMfm68VXdsRQCt+wG9j/mPld704jzywPmlLsrE6kJr8RQOCZSVWfGvfD8rY3KKkUBY4NuNG4MDlAo5U9Ow9aKEjy+tx7V+xvRYjtVYTfXbETpXCvK5xcwTBTjjrX3eP1uVaLF5kBde8+Eq/BGREREREREREREREREFCsSNlD09NNP41e/+hU++OADAMGDQ4IQ3sUMkQ4uERHRxGJMOvUr3Sq0osqwLmaDOk1SJr7l/DFaMAVlzjUxPVeiuHTYT3UiEcA5Cfv2n+JAvtiOxwy/w63O1bAjdXi7DlLE5tA+mISTsvdzxI7UyP0+Onup14/H2nvwUO8VuDLpX4qO3SBlo9K1BD1IxUOuZXjEdQ0KhSZkoBeThB5sSnogXDNXx97kDvvYPvOxz0elHUc3MORwV26SVVYOVhom+pxtzx/xYP+5kOBdrU111R1jhjuccvGdwIkj7opTxknAlCKvwFiwKkieNmlvrsdpMRKOUVJ1RoSE6UITzF29eP6VAXxr6RVjK08FMa6F51mp7rCaGgcq3feXynmSbwwOUKiZjQZULCrCqgUzUNfeg+5+JzJSDChUWkGOos7W7+dzSBDdGvsRERERERERERERERER0fgl3IrCo0eP4n/+53/wxhtveIV4wh0YIiIiiiarxb3o1YS+mA/o6CCjQGjGcTkLjXIOlg6uje0qC0TxZEgG/uNnQV6RHkgVfe8jipD5ug+wVbgHZc41aJRzAAA2BAluhFC60A/4uNbDyN9HN+pfxhTBHp4J1PwB+M+zwMwlwAU3wuYsUBxoapCyUeZcg54RYSwJIo7K7opPoiyhRc5ErtAVnrmr5StMNJKn0s7Xq4Cny5RXmhmnbLkDhULT8O02muqqO6IOyD7La5PN4UTlnvqAVZAADLdpt/VjX/LjgJo/W4QpHBOs6oynCmapfuepx9ohQD4yFcLoylNBjGvh+Yla78pXStibUP/xvzHtzAsYTggBBgcoXHSiwNBZnDKnaKsglaGxHxERERERERERERERERGNX0KtKHzppZcwZ84crzCRIAjDYSJZlqPyRUREFG7HWm0AgHLd9pgOEwFAjngSTybdjzeTb0OF7hkAwEOuZZg/sAF3D5ZHeXZEca52CPBXLGAWF+pRbMgX21BlWId0uCugHJPz0CJnRuTYdjnV/77Pq/58d/DO8E6itx14pwrYdDm+8I+5qNA9gy7ZhKWDa/GA8zo0yxav5s2yBQ84r8NVg2uHQ1i+SBBRPbQovHMPta564ImrIxYm8shAb8D9jZ19qNxbr2nsho5eLN2wB+t31I6p3uKpgnTl+t1Ysn73cJvpQpP6IJi9yV0ZKcQCVZ2xCq3YmnQPVhs2j5mv4Kk89dglQGedomONa+G5o1tT3zuffB0X3bsTD+44ApuDwZbxYHCAiEabnpWOHHOyqj65ZiMKs9LDNCMiIiIiIiIiIiIiIiIiCiZhAkXPPfccvvrVr8Jms0GW5eEg0ehgj2f7yKCRL6PbBWsfqO/IbUREROFwsLELIiSU6ndGeyqK5QgnsdqwGVuT7sHZQj1u0z2Huwz/iPa0iOLbYT+Lo5MBzEy44qQUx/LFNpTrtgOIbBCmC4ErHoiQcI24R/W4LfIk/M65fEwYKBh9f8fw78JMwT4csL184H4sH/gZLh+4H/MHNuAh1zKvykT+VLqWoEHKVj3/qHKcjPghuxVUxare3wiXpO4CITaHE2WbatDY2RewXXO3A03djuGfzUECTn6F4bbzV3VGcRVMT+Uphy3osca18FxhFaTRupE2HOxaumEPGjo03vbE4AARjaETBZQW56vqUzrXyqpxRERERERERERERERERFGUEIGit99+G9/85jcxNDQ0JkgEYEy4R0n1IH+VhpQEjFitiIiIIq2736nt6vYxIF9swz+TfoLVhs2wCD3Rng5R/OqTgCNDvvedYwD0XKhHsaVU/xpESAAiE4TplZNRJ+f53GdCHyp0z2Bf8u34tmGH6rGrhxZhg2s55g9swOPOxar7j6zaJEHEUfl0HJTPxFH5dEgqPrbbkYoy55r4CxVFULNs8fs4GKnF5sBrH7aqChVV7qkPGibyxaYg4OSTcZK2fgH4qzqjqgpmVz2wf2PQZuNaeD5lJmCaqqrv6Pu+sbMPZZtqYGelIk3GHRyQXEDbh0DjW+7vkisMs5xgeJtSDCgvKYDVEjwEDQBWSyrK5xeEd0JEREREREREREREREREFFDcX6a8r68PpaWlGBgY8AoMeYzelp+fj/z8fOTm5uL48ePYt2/fcABp5Pdvf/vbkGUZ3d3d6OrqQmdnJxoaGmC3273GHh0qkmUZer0ey5YtQ0pKypj5nnHGGSG/DSixdHR04KOPPkJHRwfsdjtcLhdMJhMyMjJQVFSEadOmRXuKqiXiORHFGpPRgCStV7ePAQZBivYUiOLff4YAf0+lWb4XiBNF01ShE4VCE47Kpw8HYRRVQNEoBYNIRx9s8K6OYRVax33cVnkSioTj+ETOxRL925rG8FRtesi1TPM8AKBRzsHSwbW4SbcdpfrXMFXoHNd4iaZ6aKHikNZ3qg4ix5yM0uJ8lJcUwGz0/1rqkmRU1zRomtMxOQ8tcqa6YLgpD5hSpOl4gXiqzrTaBoa3aaqCeaASuPhOQNQFbFZeUoAth44rCmJ5LTwXdcDscmDXWsVT8nXfN3b2oXJvPSoWhf62nAg03X+ObuCtjcDBSsDefKqBaar7Pp13q+YKVBMWb1OKIWajAVUrioNW7JuaYcTvy4phCvC7lYiIiIiIiIiIiIiIiIjCL+4DRffffz+OHTs2Jjg08meTyYQf/OAH+NrXvoazzjpruO+mTZuwb98+n+NWVlaO2SZJEt577z3s3bsXW7duxcsvvzwcQBrJ5XLh3XffRVVVFebMmROS86TE1dfXh+effx7btm3Dzp070dLSErC9yWRCSUkJrrrqKixfvhy5ubkRmqlyiXhORLEuI0WPo1qvbk9EieGwnwoLGQJgDbygmyhaMkaEYT1BmO/qXsBN+ldgEvpDeixRkHGHbjN+4bppeJsJfSEJMd2XtAkAcEI2Y4pg0zxOqf41POK6RlVVIl96hVQ85FqGR1zX4DyhDg8a/zqu8QDgM3kyIMs4TfQfUGqSLMgLsD/aGqRsVLqWqOrTahvA+h212HLoOKpWFCN/su/3W8fae7xCOGpIEFE9tAirDZuVd5pTHjSso4Wn6sz6HbXD2zRVwbQ3ASeOANlnBWymdOG51ZKKqhWjFp7PuxV4t9pdESmIQPd99f5GrFow41TlHFJM9f3X9ylQda3v+8ze7A6IvVsNlD0LWArDN/FE0lnH25RiTv7kNGytKMHje+tRvb8RLTbHmDaPfusCTPXzO5WIiIiIiIiIiIiIiIiIImd8q5SirKurCw888IDPMJEsy5BlGVdddRU+/vhj/PSnP/UKE2khiiLOP/98rFy5Ei+++CI+/PBDrFy5Enr9qVyWZy4ff/wxSkpK8Ne/jn/hVryor6/H5s2bcffdd+Pyyy9HZmbmcBUnf18TWVdXF+655x5MmzYNpaWleOqpp4IGbwDAbrfjpZdewm233Yb8/Hx8+9vfxkcffRSBGQeXiOdEFC+6+weHr25PRBNQpwQcd/neN8sATPD3XRS7ukeFYScL3ViufyPkYSKPq/VvQhxRyqtctz2kFZHGEyYCTlVtGq+KRUV49fvz8fdlFlx9bhb+IH4jaJ9GaQr+NPRlNMsWr+3NsgUPOK/DlQP3Ycng/XjAeZ3fNksG743Z9yLHkYMy5xr0IFVT/8bOPpRtqoHd4Tu8aev3E+pUqNK1BA1StrLGmQXA3FvHdbxAyksKYLWcup3MWqtgOk4qauZZeL76ipnINRu99uWajVh9xUxsqygZG+YyZrhDEpkFAcdvkLID3vctNgfq2nsUzZXGOj0zFb//xhdw/YXTMDktyWuf1/2XNuQ/+DJSV727nWN8r6dquSQZta12HKjvRG2rHS5JDt4p2hzdMX2b0sRmNhpQsagIe+9eiFfvuATrrz/fa39aUtxf54yIiIiIiIiIiIiIiIgoIcT1/9w9/vjj6O3tHQ4QAafCRIIg4Gtf+xqeeuop6HThuSL7zJkz8fDDD+Pmm2/Gt771LXz00UdeIZnBwUGUlZWhq6sLK1euDMscouX48eM4cODA8NfBgwdx4sSJaE8rbjz55JP4wQ9+gPb29nGNMzg4iKqqKvz973/HnXfeiZ/97GdITk4O0SzVScRzIoontr4hbVe3J6LE4K86EeAOFBHFoGbZgno5F0XCceSiA18W9+Pr+t3QC1LwzhpNEewoFJpwVD4dIiSU6neG7VhanZHmxNFxZBvOzpTxPWyG7i9PQN/bggsB2Iyn4V9Y57N9s2xB9dBCVLqWoAepWDt0AwqFJmSgF91IQ52c51UxyVP5yF+baL8XscspXoG0ZtmC+oKv499Tv4HGXeMLazV29qFybz0qFhWN2WdOGd9rrR2pKHOuCV4xK7PAHaIxmsd1vEBGV52xaa2CaZyk6pgVi4qwasEM1LX3oLvfiYwUAwqz0gNXDrIUArfsBvY/BhyodFdG+tzox3Yg3eMMhE1ENocTlXvqUV3T4FWda3JaEi4/OxvfLLbivNMnnbr/dm1UVE0KgLvd/o3ApXeFfN6j+TuPHHMySovzUV5SALMxRt9LvRWbtynRSDpRQFGOCTkpMto+jvZsiIiIiIiIiIiIiIiIiGi0uA4UPfnkk14/jwwTzZo1K6xhopEuuOACvPPOO/jud7+Lqqoqr+o7kiTh+9//PqxWK5YuXRr2uYRDa2sr3n77ba8AUWtra7SnFZcGBgbwve99D5WVlSEdd3BwEOvWrcPOnTvx7LPPIi8vL6TjB5KI50QUj5yfB2srXUuwXLc7pNUWiCjGyTLwnp+F0HkiMCX874eJtGiWJmF/8ipMFuwRPW7G59VWpgtNyBW6InpsJS6ZVYRX9w1p6jtvUjeqDPfCsKchYLs1zhVoGRB8BoYkiDgqn+6z3+S0JHT0DgZso+q9iHGS4io2SjRI2bh68NfIFk56hZ2ym1Px0vXn4K+HT6Kxs29cx6je34hVC2aMCblMz0pHjjnZK5CgVqOcg6WDa3GTbjtK9a9hqtB5aqcpD5hT7q5MFMYwkYenatDje+vxt7cMaBnMVPd8MeUBU8YGr4LxLDxXxZjhDklcfCfqP/437nzydZ+P7UAyxhkIm2gaOnqHA2ejdfQO4u8HjuPNuk5UrSh2V5aSXMBBlX8zOFAJXHwnIIbvfUyg82i1DWD9jlpsOXT81HnEkhi9TYmIiIiIiIiIiIiIiIiIKL4oW1kRg5qamvDuu+96hYg8RFHEn/70p4iEiTySk5PxxBNP4MYbbxyulgS4Q04ulws33HADjh8/HrH5hNKVV16Jq6++Gr/4xS+wbds2hok06u/vx5VXXhny4M1INTU1uPDCC3Hs2LGwHWOkRDwnoniVY3JX8vJc3b5Byo7yjIgoYj5zAZ1+KrqwOhHFKFkGLtDVRTxMBADdn1dbMX8eLIolkmkqWgynQxegIIsvuWYj7l6Qh2rjfTDYAoeJAOB23bP4WJ6Go/LpigMXAFD2pXzkmANXD1X8XiSzALjxn+7vSoiBr4fSIGWjzLkGNqTjqHw6DspnDp9fi82BE/YBVK0ohtUSuFJNMC02B+rax5aQ0okCSovzxzU24L79HnItw/yBDbh84H78Y9afgJX7gTved4dmgoSJXJKM2lY7DtR3orbVDpckB2wfiKdq0BtrroCh+GZ1neeURz60IOow7cwLcNw0S9VjO9dsRGFWepgnlzhsDqffEM5IjZ19KNtUA7vDCZyoBezN6g5kbwJOHBnHTAPTdB6xJAZvUyIiIiIiIiIiIiIiIiIiij9xGyh6/fXXx2zzBIu+/OUvY/bs2VGYFfDHP/4RxcXFY7b39PTg9ttvj8KMKBY4nU5ce+21Ph+3odbU1IRFixaFPcCWiOdEFM+cI7IEnqvbP+C8Ds2yJXqTIqLIeNfPAlcBwLkMFFFsElQGZkKlWbagTnZXvrQhxqpNAHindwqefP0DuBRkQHLNyXj4m1/Eq3dcgr13L8Stya9APFmv6Dh5YifKddtVzc1qScWKkjMUhWZGvhfpSRoVLDLlAQt+DNzyBjD1fKDs2eChoswC4DuvAQt+jMHUXK9dzbIFDzivw1WDa9Eo5/gdorvfOVx1Z/UVM5FrNgY9j0BjeYwM8Fwyc8q4A0seEkQMZs7Ekv++Bsg+K2g4x+Zw4sEdR3DRvTuxeP1uXLfxTSxevxsX3bsTD+44Ats4whA6UcDkRd9XHv7KLHBXUooCLcGu0rnWMRWnyL/KPfWKK301dvahcm894OjWdrAQVjAbTdN5xJIYvE2JiIiIiIiIiIiIiIiIiCj+xG2g6NChQ373rVixIoIz8abX6/H44497VUfyVFH65z//if3790dtbhQ9P/zhD/Hyyy8HbZeamoqysjJs3rwZdXV16O3thcPhwGeffYbt27fjzjvvRE6O/0VyHg0NDVi+fDmczvBdQTcRz4konqUnef9K91zd/uKB3+OEHPhK9kQUx1wy8J8h3/tm6IG0uH27TxQWu1yzMF1ogggJx+Q8tMiZ0Z6Sl9nSe9iadA+sQvCqsJIMHGvvRU6GETpIwEF1VUNL9a9BhJ/qZqNYLamoWlEMk9GA8pICRaEZO1LxfMa3IP/ve+4KOze/7LvSjqUQuGW3O2RkyvMeZHT46NK7UF+2H5cP3I/lAz/D5QP3Y/7ABjzkWoYeBJ5T74D7tdJTdWfv3QvxxzJtFyLJSDH4DPBc++g+9A4OISMlcJhzaoYReRmBA00jb/NgGjp6sXTDHqzfUYtW24DXvlbbANbvqMXSDXvQ0DGOqlzGDOXhr7Jng1ZSCielj1HAfTuXzy8I74QSiEuSUV0TvAraSNX7G+FK0vh4ME7S1i8IzecxjopfIWfM0NhvUkinQURERERERERERERERERE8S1uVxh+8MEHw/8WRlzeOikpCVdddVU0pjTsrLPOQllZGWR57EKDDRs2RGFGFE3//Oc/8eCDDwZtd8MNN+Do0aN48sknsXz5cpxxxhlITU1FcnIy8vLycOWVV+K3v/0tPvnkE/zyl7+EXq8POF5NTQ3uvvvuUJ2Gl0Q8J6J4N3rxqMcZQgumCLYIz4aIIuboENDvZ3HrLFYnosTXJE1S1f6b+l14Nfku7Eu+HT9MeQGbhy4Jz8TGIV9sQ5VhHdIRuHJGm/1UUKTp6LuAvVnVcaYKnSgUmoZ/XnbBaUhPHvt+PC1Zh6WzpiIzLQmAO5BTtaI4YGBDhIRLJp3A018GTD2fAFOKAOs8/5V2jBnukNEd7wcOHwGYnpMBu2k6Dspn4qh8OiSFf9b4yXPvwz6iSo9OFLDw7BzkmJMV9feY/Pnt4C/A09EziO5+JzJSDMhKT/Lal2s2YvUVM/HKHZdg+x2X+KyU5GmzraIE+ZODV9GyOZwo21QTtNJKY2cfyjbVeN0GqikNf1kKtR8jBJQ8RgF1oa2oklxA24dA41vu75IralM51t7j93OHPy02h7synGmquoOZ8tyvHWGg+Tzae8IyH02mzIyp25SIiIiIiIiIiIiIiIiIiOJT4NX7Mez48eNeP3vCO+eee27QUIISQ0ND4xpn1apVqKw8dYVoT5WiZ555Bv39/UhJSRn3HGNZQUEBZs6ciVdeeSXaU4mq3t5erFy5MmAbQRDw0EMPYdWqVYrGTElJwU9/+lNcdtllWLp0KWw2/0GB3//+9/jWt76FL37xi6rmHUginhNRIrAN+F4casY4rkRPRLHvsJ+F4UkAzozbt/pEijTLFnx58F7crnsGN+lfhl5QXjkiV+jC9+S/41NdFj6TLDhN7AzjTNXLF9twj/4pbHFdAhvScEzO8xucaezsw6+3fIhHNRwnY8T7hDePdaBnYGzFs94BFx7ddQxbDzejakUx8ienIX9yGrZWlODxvfWo3t+IFpsDAGBCH25P24FS3U6kO9qBLZ8PYpoKzC4H5t0auKqGqHOHjgLQiQJKi/OxfketqnP9tKsflXvrUbHo1GJ6LWN19A5iye/fgMvHBURG6u53YlpmCp5beRGGJBkZKQYUZqVDJ566IErFoiKsWjADde09wyGk0W2CqdxTHzRM5NHY2TfmNlDNE/66+E7gxBHAcdJd8WRKke+wmBqSCzhRCzi63ceZMlPzmP4eo4A7tFU614ry+QWxHSZydANvbXRXHxsZGFT6fAoDW7+2QFr3gOSe8661yjvNKR//Y8oPzeehsV9YiLqYuk2JiIiIiIiIiIiIiIiIiCg+xe0qw5aWFq/KRIA7xDB79uyQjD84ODiuQNEFF1yAadOmjQk+DQ4OYteuXfjyl7883inGjGnTpmHOnDmYPXs25syZgzlz5mDy5Mmor6/HGWecEe3pRdVvfvMbfPbZZwHb/O53v1McvBnp4osvxosvvoiFCxdicHDQZxtJknD77bdjz549qsf3JxHPiSgR9A9IY7aZ0Iev6PZFYTZEFBEOGfh47OJ/AMB/GQCD8gXpRPGoemghupGOJ6UrcaV8ANOEE6rHmCa24zN5MhqlKbCK6vuHU6n+XyjV/wsA0CJnonpoESpdS2CHu+qKCAnThSaY0YtBu90dJFSpG+4KODpBQHO3I2BbT4WbbRUlMBkNMBsNXoEYR+tRnLnjRiTZGoDRBVTsze5F7+9WA2XPjruCTXlJAbYcOq44SONRvb8RqxbM8ArsaBkrWJjI49Oufuw+ciJggEcnCijKMSk+ttc8JBnVNQ2q+vi6DTQdGyKOyafBJmXDLBswHSI0xxTCFJwZ/RjVGtqKis46oOpaoKt+7L4QP5/UMKdoC2BlpBjc9+O71b7PabTMAmDurZqOpcS4zmOcXJKMY+09sPU7YU4xYPp4Ho8xdJsSEREREREREREREREREVF8ittAUV+f78U+OTk5isfQ6fwvd7Hb7UhNTVU9r5Hmz5+Pv/3tb2OCT7t3747bQFFeXt5waGj27Nm48MILkZWVFe1pxaSOjg48+OCDAdtcd911+N///V/Nx5g/fz7uv//+gGPs3bsXL7/8Mq688krNx/FIxHMiShSpo9a2WYVWVBnWIV9si86EiCj8PnCOXbTvMSuGKy4QhUCTbMETrsUwoQ9VhnWYNo4w0GlCBx4e+ioGXAbcoN+BXOFk6CYaIrlCF1YbNmO5bjdudf4vrhAPoVS/E7lC13AblyxAp6JKU7NsQZ2c93lfZf18VbjRiQKKMiTgbzcBtiDhlq56d0jiljcAo1nxXEczGw345VfPwU2Vb6vq12JzoK69xyvAY04S8bdrMvDrLR/iiE0XsBqUFuMK8ASp2HOsvQettgEA3gGzQFWtfN0GatgcTlTuqUd1TcPwsQEgx5yM0uJ8lJcUwKym6k8EgjPjCW1FhaPb/20yUoieT2pMz0pHjjnZ674PJtdsRGFWOiAK7vsx2LllFrjbhfGcxnUeGoX8uQO4Xxdi5Dal6AppUI2IiIiIiIiIiIiIiIiIJpS4DRQ5HL6vnpyRofyqtcnJyX732Ww2VeEkX2bOnOlz+4cffjiucSPt9ttvR05ODubMmYPc3NxoTyduPPzww36DbwBgMpnw8MMPj/s4FRUVqKqqwsGDB/22uf/++0MSvknEcyJKFD1DpyoUeRZXM0xElOAOO31vNwtAgeY6EURxIU/oxCvJP0KdNDUkv+++pn8d3x68G28Nno0ZwnH82vC4qnBOpOSLbfhn0k9gEMZWJlQ73+qhhZAgQicALhVdfQZk3tqorEIG4G63fyNw6V1qpjtGerK2P2d093/+2jmiKk6evRmPAkCy72pQ46EpwKOwYo+t3wkT+lCu2z4mYBboPIZvA5UaOnpRtqnGZzWnVtsA1u+oxZZDx1G1ohj5k9OUnWeMBmfCKkhQLBrPJ6V0ooDS4nys31GruE/pXOup1wtLIXDLbmD/Y8CBSsDedKqhKQ+YU+6uohPm+3nc56FSyJ87I8XIbUrREZagGhERERERERERERERERFNKHEbKEpOTkZ/f/+Y7enpyq8WGihQ1NraiqKiIr/7lZgyZcqYbbIs48iRI+MaN9JWrFgR7SnEnaGhITz66KMB2/zgBz8Yd2gNAARBwP33349Fixb5bfPaa6/h/fffx7nnnqv5OIl4TkSJwiXJaLcPDf9crtvOMBFRojspAQ1+yhOdawAEXpGcEl+u0IVcXVfwhgrkCCfxcvLdwz8PyiJ0iL1AEQCfYSK1miQLKl1LMDktCR29g0Hbe1W/saehrnU2iqZOcu+UXO7gixoHKoGL7/QOUahkTtG2QDojxRCwKs7IalBlzjVolAN/vlFSGUhVgEdFxZ7Jg73YmnSPz/d9gc4jQ8NtZ3M4/QYiRmrs7EPZphpsqyiBKdgi9hgOzoSFkqBYUnpUnk9qlJcUYMuh40EfCwBgtaSifH6B90Zjhvt+vPhO4MQRwHESME4CphRF7ByAEJyHQmF57owWI7cpRVZYg2pERERERERERERERERENGGIwZvEJpPJ99V9A1VPGW3y5Ml+93322Weq5zRaUlKS18/C5ws7Ozo6xj02xbZXXnkFbW3+F/OnpKRg1apVITvewoUL8cUvfjFgm6eeempcx0jEcyJKFP/5rHv43yIklOp3RnE2RBQR7wVYnH4+r0JONF5JKkI7aqr7xIo1Q99BD1Lxg8W+q+p6mNCHCt0z2Jd8O15Nvgtbkn+BV5PvQvam2XDsWOsOSJyo9Q5HKGFvci96H4fpWenIMfu/SIgvuWYjCk0uRVVx8sU2VBnWIR2+/8bg77bZl3w7KnTPwDSin+IAj5qKPU9+FQUvlgYNkY8+j1yzEYVZyi/E4lG5p15R8AJwByMq99YHbqQ1iCb5CdPGus464LFL3IGw0c8XT1DssUuAY69F5fmkhtloQNWKYlgtgSt4WS2pqFpR7D8cI+qA7LMA6zz39wgHX0J2HkGE/LkTSJRvU4octUE1u0NbZToiIiIiIiIiIiIiIiIiSnxxGygym80+t588eVLxGL4qCHkcO3ZM7ZTG6O7u9rm9p6dn3GNTbAsWdFm2bFnAQJsW3/nOdwLur66uhixrX+2YiOdElCiePtg4/O/pQhNyhdBUayCiGCXLwGE/iwJzRSCbi0eJIkkXowXBXLL/iTXLk5FrNuIL1ky/baxCK7Ym3YPVhs1j3ltkDJ2Acc99cD56MdD2obYJOk5q6/c5nSigtDhfVZ/SuVboah5TXBUnX2xDuW77mO2BbhtPZaCtSffAKrSqC/CoqdhzshHCycbg7eB9HqVzrdCJ6h60LklGdU2Dqj7V+xvhkgJ8VotSEC0q1ATF/nmbxmOc1NZPo/zJadhaUYLVV8xErtnotS/XbMTqK2ZiW0VJzFdFCfd5hOW5Q4QIB9WIiIiIiIiIiIiIiIiIKKHFbaAoMzPTZ5DAX4jHF6vV6nff4cOHNc1rpNbWVp/bnU5eFTKRSZKEF198MWCbb3zjGyE/7te+9jXo9Xq/+xsbGzU/rhPxnIgSyTuNpxaymtEbxZkQUUQ0S8AJP9VTzmN1IiJy0wkybh68E8sHfob/GbxzzP7SuVbMzDH5rPJjQh+qDOuCVr8x2BogbfuBtgkaJ2nrN0J5SUHQ6iIeVksqyr80TXVVnFL9axBx6jVX6W3jqQx002yLsgCPloo9KpTqX0NBZjLK5xd4H7PtQ6DxLfd3P9V/jrX3oNU2oOp4LTYH6toDXEzFofxvN979TmrrF01qgmL2Fm3HCMHzSS2z0YCKRUXYe/dCvHrHJdh865fw6h2XYO/dC1GxqEhzRZ9okGVAkr3fW0myBFkGxhPtCctzRyOXJKO21Y4D9Z2obbUztBTHGFQjIiIiIiIiIiIiIiIiolCK20BRUVGRz+0nTpxQPIbJZEJOTg4AQBCE4e+yLKOmpmbcc3z77bd9bp80adK4x6bYdeDAgYCVspKTk7Fo0aKQH3fKlCkoLi4O2ObVV1/VNHYinhNRIunoObVIzYbYvgo4EYWAv+pEAhgoIiIv3XI6DspnolHO8dp+mjkJK2Y6oDu+H7edM+QVmAGAct32oIEZD7G/Q/3ETHnAFN+f6dUwGw2oWlEcNFRktaSiakUxTD2fqK6KM1XoRKHQNPyzmtsmX2xDuX5shSOftFTsUWGq0InqZZPdIQ9HN7DrPmD9OcCj84A/X+n+vv4c9/ZRYR9bv7aLonQH6mfM0DRmNIIz46IlKCao+1NdGyzY8C5gc0Tn4jU6UUBRjglzCiwoyjGproAVTQ0dvVi6YQ/W76hFm33Qa1+bfRDrd9Ri6YY9aOhQd9EGT3inpk7D6yOCPHdUsjmceHDHEVx0704sXr8b1218E4vX78ZF9+7EgzuORO1xQ9rFUlCNiIiIiIiIiIiIiIiIiOJf3AaKzjrrrDHbZFnGe++9p2qc8847b7jS0ciKRw0NDaitrdU8P7vdjrfffns4qDTS5MmTNY9LsW/nzp0B98+fPx8pKSlhOfYVV1wRcP+OHTs0jZuI50SUSESc+l1zTM7DCdkcxdkQUVhJMvC+n4WfZ+gAU9y+vSeiMOj2EzT+k/hrpG0qAf58JcreuR4HjKvwfd0WmNAHERJK9YHf/4/bnHJA1IVkqPzJaXj+tvn4xoXTkGIYO2Zasg5LZ01FZlqS5qo4GZ9XgNRy2yT/+0m/lX+8aK3Yo0Je8gDQWQc8dgmwa+3YAJO92b39sUvc7T5nTtEWVs0I1G/KTMA0Vd2AI4NoCqsrRZ2WoJjspwqhH1XOhfjdzmOagi+hEo/Vb2wOJ8o21aCxsy9gu8bOPpRtqoFdQfBmdHjnJ8//R9PcAj53VBgZmBodQGm1DWgOTFF0hSXkSUREREREREREREREREQTVtyuOBwdKPIEdz766CMMDQ0pHmfu3Ll+9z311FPaJgegsrISDocDALwCS4IgIDs7W/O4FPuCVbeaP39+2I590UUXBdzvr2pWMIl4TkSJxDRiwZkEETtcF0RxNkQUVseGgF4/i3RnsToREZ3SLFtQJ+f53Kfr967sa0E37jBswRvJ38di4W3kCl3hm5ioB2YuCclQnsX7V/zudfzt7U/R7xwbKukdcOHRXe6wRZMjSdNxPMGs6UKT+tvG3gScOBK8ndaKPWoIeqDqWqCrPnC7rnp3O4cNADA9Kx055mRVh0pP1iPLFKCPqANml6saE3PKgcEeZdWVYiVwpDUopjBs1SBlo9Llfj6pCb6ESjxXv6ncUx80TOTR2NmHyr31AdsECu+okWs2ojArXXN/j3AEpuJWrLwehEhYQp5ERERERERERERERERENGHFbaBo1qxZw/8eWVnI6XTigw8+UDzOZZddNmabIAiQZRmPPPIIurrUL6Tq6OjAvffe67M6EQBceOGFqsek+HHo0KGA+y+4IHwL/efMmRNwf2dnJxobG1WPm4jnRJRIzpnqXZHor64FUZoJEYXdYT+LPQ0AzuYiQSI6pXpoISSIWP/187HpG2Mr/PoySejFw0kPhXdi0hDwdNlwWEWrkYv3T/QMBm3f2NmH0mc7IaXnqjpOm5wxHMwyQ1sVD1dfV/DqLVoq9qhhygOOvho8TOTRVQ/s3wgA0IkCSovzVR2uZ2AIX3l4b+DKJ/NuBTILlA2YWeAOogWrrrSxBHjp7uCBozAZU6knSWPl0K88HPS2aZCyUeZcgx6kDm9TEnwJlXiufuOSZFTXNKjqU72/0W/lJaXhHSVK51qhE33/PVGNUAem4pKjW1kAMc5oCXmGKqhGRERERERERERERERERIknbgNFRUVFmDrVvdhmdHBn7969ise59NJLkZGRMTzOyHBSV1cXbrjhBlXzGhoawo033oiWlhYA3mEnjwULuNA7USkJt4wMw4WaxWLBaaedFrDNO++8o2rMRDwnokSTYfQOEbwnT0e7rHHxIhHFrgEZ+MhPJc6zDEDS+BefElFs8/Hx0idP1ZJcsxFf+cJpmHb8BcXH0AuSxtmp0FUPvPWo5ooRWhfv13cNoMbyVVV9kuQhpMJdfdj2eaUitW546qPg1Vu0VOxRY/aNwKEn1PU5UDl8v5SXFMBqSQ3SwVvQyifGDKDs2eChoswC4OtPuoNowQJRJxuB/f/nP3D02CVAZ53CM1DOX6Wekk2foicpS91gpjxg+gLglt2QLrsHbbB47W6WLXjAeR2uGlyLRjlnTPdAwZdQUVP95oY/7o+56jfH2ntUVxFqsTlQ197jc5+a8E4gVksqyucXjHucUAem4lJnXfAAYpheD8JNS8gzVEE1SlxjArGJ9HpAREREREREREREREREAcVtoAhwB3N8BXaee+45xWPo9Xpcf/31XuPIsjwcLnr55Zfx9a9/HSdPngw6Vnt7O6666iq8+OKLXuGkkYGnpKQkXHLJJYrnR/HlyJEjAfcbDAbk56v7T3+1ZsyYEXB/sDmqbR+P50SUaGrb7F4/SxBRNbQ4SrMhorD50An4yRNhFqsTESW6k1Iabh78ARqk7IDtmiQLbnT+CD1IdS8ghgR88FxkJqmC/Pp9mitGjGfx/o+bSyAbJyluP0nsRbluOwDgmJw3JtwRTLNsQY19itc2v9Vb1FTsmWR1fymRWQBMXzR2UX0w9ibghPuzltloQNWKYk2hooCVTyyFwC27gQU/dgdpRjLlubff8gbw8Xbl1ZUC6aoHqq4dd4WskQJV6mm2D+EPvZeqG3BOuTtgZszA0bNXYp5jAy4fuB/LB36Gywfux/yBDXjItcyrMtFIgYIvoaLmOXj8ZD/Wv1ob1vmoZevXFnDq9tFPS3jHl4wUA/7vWxfAZBz/e7pQB6bijqPb/TwP9poRhteDSFET8gxVUI0Sk79ArM/wMxERERERERERERERESWkuA8UjeQJ8bz++uuw2ZT/Z/DKlSvHbBsZKtqyZQvOOecc/OxnP8N7772HoaEhr3YHDx7ET37yExQVFWHHjh0+j+EZ78Ybb0R6erriuVF8+eSTTwLuP+OMM6DT6cI6h2Dhm2BzVNs+Hs+JKNGc6B0cs63StSTogmMiijOH/SzmSheAwvD+LiaiyJHksRUEemQj/uK6HB8nn4uvDK7FA87r0Cz7DrbkiZ34W9Kv8VPTCyifbQFO1AK97eGetmqCPKoSksKKEeNdvP+JXYBLUPeaWap/DSIk5GWmIWnuzar6Vg8thOTnTy+NnX34+sY38U5jl7sSgJqKPd9+3v2lpG3Zs4CsvAKUF8fJ4X/mT07D87fNR1qyutsvaOUTYwZw6V3AHe8DK/cDN7/s/n7H++7tSWnAwUpt8/elqx7YvzEkQymp1KPqfXlmATD31lPj9zshQcRR+XQclM/EUfl0v4+nkXwFX0JFy3PwiX0NONk39jNLtJhTtIV2Mnz00xLe8aW734nv/eWQd8hQo1AGpuLSWxuVBxBD+HoQSUpDnlZLKqpWFIckqEaJJ1Ag1m/4mYiIiIiIiIiIiIiIiBJOXAeKFi9e7FX9x8PpdOLFF19UPM6sWbNw7bXXDod+PEaGipqbm/HrX/8aX/jCF2A0GpGVlYXc3FwkJSWhuLgY69atg81m8+oDeFcn0ul0+NGPfjSOM6ZYV19fH3B/Xl5ewP2hEOwYasM3iXhORInGJUljttmRijLnGoaKiBKFTQI+8bMY/FwDII59T0xECqgMlgCAJAP9srYQ35Ac+CO4UxYhCmODF+mCA7cZnseeST/HC/9zNjanl+Kbgz9Gk59QUa7QhRXOv8L0xEKg7UNNc42aIBUjxrt4f7rQBH1/h6o+U4VOLJvWh6dvmQfb+f+Dz4QcRf0apGxUupYEbNNqH8C1j+47VQkgdVrAij3SZffg6LKXcMA2CbXOLLi+83rw6j6WQndoR4tR1Zza7QPoHVAXTlJc+UTUAdlnAdZ57u/i58+zE7XqqysFc6ASkDSGrEZQUqlH8ftyT/jLaB7eFMrgS6hoeQ66ZDmmqhRNz0pHjjlZVZ9csxGFWWMvEKQ2vCNCQpFwHLOFj1EkHIeIU5/lGjv7ULapBvZxVgSJxcdNxEgu9QHEEL0eRFr+5DRsrSjB6itmItds9NqXazZi9RUzsa2iBPmT06I0Q4plSgKxQOhel4iIiIiIiIiIiIiIiCh26aM9gfGYNm0avvSlL2Hfvn1jgkWPPPIIvvGNbyge67e//S1eeeUV9PX1eQWCRoaMRm7r6Bi7AGl0Ow/PGLfffjvOOOMM5SdIcaepqSng/tzc3LDPIdgxgs1Rbft4PCeiRJOVnoyj7f1jtjfKOfjK4K+xJ7kCJsERhZkRUci8F2AB16wEWPxJFGnJGcAN/wD+XQ0cegJAgOopn+uXDUiGE6IApEDbwuP/G7oagzCgVP8apgqdw9tb5Uwky4OYJAa+Arx4sh7WbTfg5Zufh/zn25Ax0BmwPbrqIb/yE01zjSpPxYhL7xqzq7l77HseNczQdpX9T45/hq8/9hZckgyD425UGdYhX2zz275BykaZcw16ELh6hIenEsCWQ8dRtaIY+ZfeBVx8J3DiCOA4iR4xHX/+UI+n9h1H6/Z3hvvlmJNRWnwtyr9XAXNPvbuikHESMKXoVCAHAKbMBExT1QVzTHnucUaISuUTR7f2vv7Ym9y3bfZZmodQU6mnUc7B0sG1uC1tB76buhuCfcRnWFMeMPtGYPoioKcNGBpw31+ibjj4oibA4y/4EipaHwMvHG7G/7v6HOhiIAStEwWUFudj/Q7lIafSuVafc1ca3jGhD+W67SjV70Su0DW8vUXORPXQIlS6lsCOVDR29qFybz0qFhUFGC2wWHzcRIyWAGIIXg+ixWw0oGJREVYtmIG69h509zuRkWJAYVZ6TDzXKHYpCcR6hOJ1iYiIiIiIiIiIiIiIiGJXXFcoAoDrr7/e62dPGGjfvn14++23FY9zxhln4Pe//73PykIjtwX6Gtl25BiCIOCiiy7C/fffr+0kKW74CpqNlJ0d/kohOTmBr5YdbI5q28fjORElGlH0/+s8WzjJMBFRIjjsZ/Fulgjkxv1beqLIG+gG/lYKHHocSsJEQ7KIFME5rmJgDVIWHnNdjYdcyzB/YAMWD9yH/x1cie8PrsTLQ7ODhomGddXD/Hw5MgaUheoF22fol5O0TxyAXTYGbxRqPipGNHT04keb3xvXsElpmZr6dSMNx7v60dztGA6HPOC8Ds2jqkQ1yxY84LwOVw2uRaOsrJLRSF6VAD6v2NOQdh7+u7odv9t5bExAwBNEWvrwm2jQTRtb3cdD1AGzy9VNZk75mHGiUvlEa3WlYBwnx9VdbaUeO1KxrvcrOFr6JrByP3Dzy8CKncAF3wYOPg5suhz485XAo/OA9ecAu+6DbtCG0uJ8VfPyF3wJFa2Pgc7eQWWVqiKkvKQAVouywJ/Vkory+QU+9ympdmQVWrE16R6sNmz2ChMB7opyqw2bsTXpHliFVgBA9f5GuKTgv5tGc0kyalvteKexC4v/S93FX8L9uIkYrQHEcb4eRJtOFFCUY8KcAguKckyJcV9S2KgJxHpofV0iIiIiIiIiIiIiIiKi2Bf3qw+vv/566HQ6yLI8/AW4gz1qAzwrVqzA3Xff7TdUNHL8kXztGxkwys/Px9NPPw2dTjemLyWWzs7AVwg3m81hn0OwYwSbo9r28XhORInGOjnF7z6tV+EnohjS4gLaJN/7ZhkAgQsGiTTpO6G4qV7w8xxU4SdDN6MHqTChD7fpnsOTSffi90mP4sGkR/Ftww51gzUdUtVcwvheJ3phxGFXwbjGUM1TMeJzNocTN/7pTZjsRzFb+BhFwnGIUH+/XDTvS+5KPSo0yxbUyXkQIaFIOI7ZwsfIFTrxiOsazB/YgMsH7sfygZ/h8oH7MX9gAx5yLVNcmcgXTyUAwH3eZZtqglYR8Aoi+TPvViCzQNkkMguAubeO2awkPDHauCufeKorhZpx0ri6a67WNCC5Q1/p2cAzK4DX7x1bUcXeDOxaCzx2CW4+Rw5J8CVUpmelIzNVW6hoXJWqQsxsNKBqRXHQ29ZqSUXVimKYjL7P2VPtyB8T+oJWNAOAfLENVYZ1SEcfWmwOVeErm8OJB3ccwUX37sTi9btx3cY3UfVWA3QK3yNG4nETMVoDiON8PSCKJ2oDsQDGvi5JLqDtQ6DxLfd3SVv1TiIiIiIiIiIiIiIiIoo+fbQnMF7Z2dn417/+hd7esQumtQR41q5di4yMDPz4xz+GLMs+KxX5ChV5jG4/e/ZsPPfcc5g6NQyLXyjmdHV1BdxvMpnCPodgx+jr68PAwACSk5UtAkvEc1Kqra0N7e3tqvocPXrU6+eenh7YbLZQTovi1OjfU75+b2k12N+P3BTfv5v0QgZsSaeF7FhEFHnJH7Qi2Uc4UBaAnjnTIPtZ4EpEscUgmvBFnMA6/R+RJ3YCSIVtHKETVZK8F1j3JqmrMpoKoABO2BDh9xRdJwCjDRjswbvbHsOfpZcxJePUe+sTshnbXPPwnKsEvQheRWlqhhHXfSEbNuEW4O0/Kp7G80MLcIdhJ67SvYUpgu/jf/b5beO+Zcd/Bf+XDtXhgqnJ2H3kBAb7e5HrPz8+bLC/F3/Z/RFumOcv3CAAy/4KvFAB2AJUuDLnAVdvAAYBDI79LLPsHAue/beyClkAcOOcbPT22BW39+kL6u6zYFwpWdAl5wLj+KyWLA/4fQ8erJ/tRBPw9HeBfidgDPC86ncCz67EH5f/AXe/UIfmbv+VR6dmGLFu2X9BHuyHbbBf9bwkWcannX3oGRhCerIe0yypEP0EUq6bNQUvvKv8MeCRLA/E1OfjTAPw95vPx3OHPsO295pxomdweN+U9CRcdd5UXHPBaUgzuALO++tfmIxd7yf7vH9u0O1Fpt6g6PUzE8AtSXvxlOtynOg6iRwFj6+mk/1Y88x7aO52QABGvVYE7z/ex03MSZ4KTP4C0KvibzlpWcA4Xw8ouHD+TYTU6ejq1vT760TXSeTo7MC7fwc+eM77eZaWBfzXNcD51wNJ4wgRExERhQHfhxAREVE08b0IERERRQvfh8SvSBT6GE2QA6VjJrB9+/bh1ltvxfvvvw/AOygUjCzLSE5Oxg9/+EP89Kc/hcEwMRd51tfX44wzzgjYJtEefl/4whfw7rvv+t3/8MMPY9WqVWGdw/vvv4/zzjsvYJuTJ08iI0PZVVsT8ZyU+vnPf45f/OIX4xpjw4YNsFqtIZoRERFNOC4XFn/nO0jxUY2v/bzzsO9Xv4rCpIiIiIiIiIiIiIiIiIiIiIiIiIgolL761a9G/JhixI84SixdmXSkiy66CIcPH8Y//vEPfPnLX4Zer4csy0G/rFYr7rnnHtTV1eGXv/zlhA0TTVSDg4MB9+v14S8KpuQYweappm08nhMREVG8yHr/fZ9hIgA4fumlEZ4NERERERERERERERERERERERERESWK8CcBgpg6dSqWL1+Om266CQsXLoz2dMZYvnw5li9fjv7+fuzfvx8ffPABGhoaYLfbMTg4iJSUFGRlZWH69Om48MILMXPmzGhPmaIoEcM3iXhORERE8eL0Xbt8bnclJaHpoosiOxkiIiIiIiIiIiIiIiIiIiIiIiIiShhRDxT19/fjqaeewlNPPQWr1YqbbroJN954IwoKCqI9NS8pKSm47LLLcNlll0V7KhTDJEkKuF+n04V9DkqO4XK5FI+XiOek1MqVK/G1r31NVZ+jR4/immuuGf65uLgYZ599dohnRvGot7cXNTU1wz8XFxcjLS0tJGP/v+cO461PTvrcN1XowDr9H5En+q5wQkQxbFCCaW+tz13SWUZc3PCrCE+IiLQ6KadhktAbteP3nv1N1GDW8M/nHP0/ZDsbozafoMx5wHWPA3+/AehtV9ytS05H6eCPkS2c1PT+54Rsxs+d38ZR+XQAwF+S1mKKoK2q8gnZjG2ueXjOVYJeGDWNMVoaHLhGtwdX6d7ymtfoY/3x27ORPzk07zNHaujoxXeePKi6X1jmI0t4Ydeb2PnuUfQgFcflLEgQh2+j/9btR5bQPdy8Xc7Ai665eNZVAgHAI4bfK3t8mPOAr1cBSf7n33SyH2ueeQ/N3Q6/baZmGLFu2XnIm5QCNB8Gnv2umrN1u/YPwNRZwdsp9Je3GvDkmw2K29/4pXzcMC/fa5vqc49Vgz3A098GbE3B2/p4TPS2N0B6/naYBttCMp3+5X9BSs6MgG1i6vkYYzyPbSWvB30w+nxsU+iF828ipF7v4BBW/uVQwNdvj9PMSfiz7tcQ+k4oP0BaFvDt5wFBHMcsiYiIQoPvQ4iIiCia+F6EiIiIooXvQ0iNqAeKPGRZRkNDA375y1/iV7/6FS699FLcfPPNWL58OYzG0Cy+IQq3YJV0hoaGwj4HJccwGAyKx0vEc1IqOzsb2dnZ4xojPT0dZrM5RDOiRJKWlhayx0Z+zmQ890H3mO0m9OH3Sb9GvhSahW1EFGHvOYFB2ecuwzlOGByfRXhCRKRVtN8NDjX+C7CeCiJkOxthjtHXkE+Rg82FP0BJfQMu7Pi3qr5mAM/Lq6CHhEmS+gCXGZ/hfOdB7Hblo0g4jkL5Q9VjjBzrdnyIr0jbUOZcg0Y5R/NYAGAVWvFnwzrky23AqI9HI4+1Ovnn+K/8XOhEYVzH82Wgcwgt/erH7UMSWvoF2PqdMKcYMD0rfdzzc0kyNvzHgNa+wlF7UvAArsB6LEKh0IQM9KIbaaiT8yDBvai5QvcMzpLfU3Ygx2fAf6qAS+/y28RsNuOJWy14fG89qvc3osV2anF2rtmI0rlWlM8vgMn4+WdWx2T3uGplTgFC9PnBJcl44kArWlXcn08caMN3Lz/X675Tfe6xatf/AW1vK2s76jHR2NQM3V+W4zS5NSRTGUqbCvP08wEx8IVVtD4fB4TkhP4bhfdjO/jrAeD7sU3hF8q/iZB6ZgC/L/sSyjbVoLGzz287qyUVD12VgYzqd9UdwPEZMNACZJ81vokSERGFAd+HEBERUTTxvQgRERFFC9+HUCAxEygSBPd/2sqyDFmWsWvXLuzatQurVq3C9ddfj5tuuglf+tKXojxLosCSkpIC7o9E+MbpdAZtE2yeatrG4zkRJZp9n/i+unq5bjvyRYaJiOLW4UHf21MFYHrMvI2Pay1yJnKFrmhPgyjs9L0t0Z7CsCFZxFNDC7FYfwhThVPvYZplC6qHFqLStQQ9h1zY885+bElWP/4UwT6u+ZXqX8MjrmtgRmgqSuWLbagyrMPVg79GjnASZvTChjQcG7WgPRAT+lBlWBf0fV2+2IY/634D3eDVgDH0fwg0p2gLhaz8y0F09J76TJdjTkZpcT7KSwpg1hg0Odbeg1bbgN/9EsThSlMjiZBQqt+p7mAHKoGL7wwY8DAbDahYVIRVC2agrr0H3f1OZKQYUOgrPDVlJmCaCtiblc/BlAdMKVI37wCC3X6+tNgcqGvvQVGOyWu7qnOPRZILOFiprs/njwnboIRXK3+BFSEKEwGAvvjmoGEiQPvzMUNjv3jh67Ht7/XAw99jmyjR5U9Ow9aKkuCh0Db11dAAAI6ToZkoERERERERERERERERhVXMrESUZRmCIHgFiwDAZrPhT3/6E/70pz9h5syZuPnmm1FWVobc3NxoTpfIp2BVcgYH/SwMDqFQh28S8ZyIEo2vxYCaFksSUezokYBjLt/7zjUAujhYoBvDPMGF3dIsPJ/8/6I9HaIJRS9IuEx3GCsHK2AV2iBAxgdyPo7Kp3sFbGyITqntqUInrhb3oRehq5ScL7Zhb3IFTMKphbotciaqhxah0rUEdqQG7K8mJJ7h+AzYvzFgRR2tpmelI8ecrDqIMjJMBLjfu67fUYsth46jakUx8ienwSXJONbeo7iKka0/+GdEn+cgNKkPktqbgBNHFFVZ0IlC8FCCqANmlwO71iqfw5xyRSETpbTeft0B+ik691h0olZduAsYfkw8/i7w9cHtQKjelmUWAHNvVdRUy/Mx12xEYVa6xsnFh3A8tokSmaJQqDFD2+DGSSGbJxEREREREREREREREYVPzASKgFMhopHBopHbP/74Y9x999348Y9/jMWLF+Pmm2/G1VdfHTTwQBQp6emBF2b09PSEfQ52e+ArcguCgNTUwAvWRkrEcyJKNAYfaws1LZaMkh7ZiPQRC2yJCMD7TkD2s28W3/uqIcvAIakQf3UtQhKG0AoLXpfOxxD0yIQNsgwIzGcRRVS+2IZnk38+/LOvcM0xOS9qVcQeTHoUAOCSBegEfy/G6phGvdfJFbqw2rAZy3W7UeZcg0Y5x2e/kFXUkVzu4ISj270weMpM1QEVnSigtDgf63fUqpuPH42dfbjhj/vxlS/kYcuh417BiGBVjLRWZ9FceSrUVRbm3Qq8Ww101QdvqyJkohSr24zg6NbUzdXXhX37P0RFqF6jMguAsmcVVxfT8nwsnWuNj6pR48DHdnBqA5w0MQQMhcZAZT0iIiIiIiIiIiIiIiIKn5gKFHl4AkSA73DR0NAQXnrpJbz00kuwWCz41re+hZtuugnnn39+NKZLNMxisQTcb7PZwj6HYMfIyMiATqd84VginhNRokn3kSjSvFgywk7KafjL0OW4zfB8tKdCFFsO+7lK+mQRyBN97yOfBAGYravDbF3d8DZPeCEXHQwTEcUAX+EaCSKqhxZhtWFz1OYVqjBRIPliG6qT78USx2/Q46NS0bgr6ji6gbc2AgcrvRcCm6a6q+TMu1VV5YHykgJsOXQcjZ196ubkx/GT/Xh017Ex231VMRpJa7UkzZWvQl1lwZjhDo9UXRs4VKQyZKLU/8/evcc3VR/+43+dk6QNbZNegN7EtisUdU63KQMURAHRTvEGzLnOTiJTmM5OcXNT9/nu89lng+nvw5gwHbhpcJXqNtBtguK4yBAUEHDeJ5eurdgr9JK0JW2Sc35/HNImze2cNGnS9vV8PPbA5tzeJzk5Kez9ymvUtduECtRF2Lzx2ZkkOLvageRBjs2UrzRQTVvm+zqrCAFqeT8WZKXAMqNokINNfKPu2tbA5nDCurcGVQdrNQU4EwWDUHGUAM16REREREREREREREREFDsJMxvRExwSBszok2W573/e63keO336NNasWYNLLrkEl1xyCX7729+itbU1HqdAhLFjx4Zc3t7eHvMxhDtGuDFqXX84nhPRSJOTMcbvsYgnSw6xXujxjPvrcMkJ8ysJUfy1uIEGKfCyiw2s04kCT3jhVv3ueA+FKOG1ykP3O0Wh2IxKw0qY0YkS4STelSaiXg79BQcjwQQ0waLbFnDZoBp1WquB9bOUCcADWwXsDcrj62cp66lkNhpQuWQqCrIib4gVIaFEOIlLhU9RIpyEiCCfeVBajMqfOQi7wzdo62ln0eqEnI8WQds1ZU/Khi2tSPOxwsoqBpbuAWY/qoRKvJnylceXvqmsF2WRPH/Dst3G0QHsfgxYfSHw1HTg2WuVP1dfqDzu6Ohv3tDClI9TyQWR/53rtheAO18H7jkAPPAhcOVD/WEiNWM+S+37sSArBZVLpsKUwGGRaBk117ZGtae7MH/NXqzecdQvbOUJcM5fsxe1pxPvi0lsDiee2HEMl/9qJ65ZvQeL1r2Na1bvweW/2okndhyDzRHkixgouqYvU0KuasSgWY+IiIiIiIiIiIiIiIhiJ+6zdx955BFMmDAhYGhooEDreIeL/vWvf+EHP/gB8vPzceutt+K1117zaTsiirVx48aFXN7Y2BjzMYQ7htbwzUg8J6KRJsds9HvshJyPRjlj6AejUbbQgSnip9ALwSeSEo06wdqJAOCikT8RdCjph6B9hGi4+7vr8iE9XqHYjH3JFdie/BAqkx9DvtA6KoLH5UlvBAzWRBxYEPTh228AZXnlLYBDffNs4dhUbKmYieXzJiN3wO+h49KSgm5nQjcqdC/hreT7sD35IWxO/h9sT34IbyXfhwrdSzAhcMtKXWs3rPv8z8Mys0hTsCnblIz7550P84y7VG8DAE93zcL8374dm4n2xnQlTPLAh0q4JFjIJAa0PH/Dst1GbaCuvVZp3tBiigXmVOPZv3NlatrUmZoLTL4WKJiutIh5N3hEEAIM9X7MNRuxfN5kbK2Y6dfyNZKN+GtbI5vDifJnDoZtsgoW4Iyn4RyEGnE8zXrhQkUxatYjIiIiIiIiIiIiIiKi2In7rJxf/OIXqKmpwT/+8Q9861vfgtFo7AsIaW0t8izr7e3F5s2bMX/+fJx77rl45JFHcPTo0SE/Nxp9CgoKQi5vamqK+RjCHaOwUNs3tY7EcyIaacab/ANFEkS87vpaHEaj3f8Z1sV7CESJQ5aBD4JM4ivQAZlx//WdiEaRWikbv3Z/Q/OE+cEyCQ6fnz3BY7cc3waJWB4/Wz6NGRltfo9HEliAKR84vj18mMijrQY4oO33MbPRgIq5Jdj3kznY/sAsbFp2GbY/MAtPll0ScP0CoQlbkh7BcsMm5Aq+5+lpjduS9AgKhMB/96s6UAe35BsCVdvOkmNKxnOWr+Hth+eiYm4Jkmfeq7ploVbKhtVdGvuJ9qJOCZcECpnEyIhut3F0aAvUffXbmps3Jo5Pw3jzGFS55moamu5rdwZ+fbWO2SsEGOz9uO8nc1Axt2R4vXZRMKKv7QhY99aEDRN5BAtwxsNwDkKNWHFs1iMiIiIiIiIiIiIiIqLYSYgZiYIg4Oqrr8bGjRvR2NiI9evX47LLLgvaSOTNO1wUqLWovr4ejz32GC644ALMmDEDzz77LDo7O+NxmjQKFBUVhVxeW1sb8zHU1NSEXP6FL3xB0/5G4jkRjTR5ARqKAGCHFHhCZ6JJF87EewhEiaPWDXQEac25eGRPdiSixFInjUO582HYkKZ5wnys6AQZrjiGinSCjDt7H8TCnp9hg/OaqO9/3YIi/OJyHa5J+w9KhJMQIUGCiL/rr9W2o0vvAI48p22bQ1ZAcvf/LLmB5k+Auv3Kn97LvOhEASU5JkwpykJJjgmZqf4NRSZ0o9KwEoVic8ghFIrNqDSsRFqApqJGmwPVLf7/lqOmnWXHg1fiyvOyoRPPXjsqWxZqpWyUOx9GJ5RQQiJNtI+WEdtus3+dtkDdv6o0N2/oRAFlUwthdZeiVspWdagO4zkQp38vOmMOEAIc+H7su+ZHoRF7bWvklmRUHdT273aBApzxMFyDUCNeHJv1iIiIiIiIiIiIiIiIKDb08R7AQCaTCXfddRfuuusuHDt2DFarFc8//zxOnjwJwL+NyFugxiLvx/fv34/9+/ejoqICixYtwuLFi3HVVVcNwVnRaBEu2NLQ0ICuri6kpsZuwsLx48dDLtcavhmJ50Q00qQmB/44b8TYIR4JEQ3a+0G+WVsH4IsMFBElqiY5E24A+YJ/w8xw9Tf3DNTJOQAAq7sUC3V7wgZChoJeiO8k5w45DYfl83DUfS5m6/4V1eck9a8W3N59CrcDQDLQm5ID+4W3I+PSCuDpTYDkCr8TUQ+cOx3YvVLbwe31wKljgDlPCTYctgL2hv7lpjzgUgswfZkymTiIiePTkGNORpOtp+8xi26b6uepUGyGRbcNa90L/JZ1nAn8GelpZ7l39iRUt3Si44wT6WMMKB6fFjxQkVUM913/xB9W/Rg3uv6BPKG1b1GDnIUq1xxY3aV9YSKPqgN1uHf2pJER1JDcwKmjMDs6UHFROu698kpUnz6j7vlLZJJbuX61OGQFrnhQad44sF752V7fv9yUD0yxANOW+UyWt8wswuYjJ1He9nDY0NznQg7S7/hr4Mn2gxnzELRZDVcR3RtGmBMtnT73YzU8Ac6SHFOMRhVepEGoEXN/Hg48zXrDmFuScaKlE7YzTpjHGDBxFN0biIiIiIiIiIiIiIiIvCVcoMhbSUkJVqxYgV/+8pfYsWMHnn32Wfztb3+Dw+EAgIChoYH/HSiA1N3djcrKSlRWVqKoqAiLFy/GHXfcgYKCgqE4LRrBSkpKkJSUhN7e3qDrfPrpp7jkkti0hsiyjGPHjoVc58ILL9S0z5F4TkQjTVtX4MmV3XISZBkQOB+CaHhwysDHQQJFk/XAGL6ZiRLV8665OCHl4anktfEeStQs0r+J1e5vQIIIO1JQ7gw/Yd4pizAI0hCOUrtGOQN7dJdjYek86F59QPP2HVC+SKH/OVmBQrElOoPrPuXzY1J3E8a+swr44Bl1YSJAWe+jzZEdv/lj4IVvBm5JsTcAu1cA751tcskq7ls0cELubV8rwBM7lb/DiZBQpt+paRhl+l140n0zpAGl2uljQgdrPe0sap2w67Cy60Y8hvkoFuqRji50IBXVcr7fsT0SYaL9oDk6AobGdKY8lPSFxobx+Z066huGU8MTqMs+X2nYuOJB5WdHO2DMAMaVBAzumI0GVC6ZivJngPmtK7BYtw1l+l1+AbWtSdfimjv/G2l5ubEZM4Wk9d4wktiCBDHDCRbgHCrDNQhFw4PN4YR1bw2qDtb6XGc55mSUTS2EZWYRzEZ+mQcREREREREREREREY0egWdIJBhBEDBv3jy88MILaGxsxO9+9ztMnz4dsiz7tRIJA2ZNe9aRZdlnHc9j//nPf/Df//3fKC4u7juGJ7BEpFVSUlLYcMu7774bs+MfO3YMdrs96HJBEPDlL39Z0z5H4jkRjTQ7/93o91iB0IStyY8yTEQ0nBx1AcHmzV3ECU1EiapWyobVXYpjODfeQ4mqPKEVxUJ/Q0ednIP5vSuwyrkIDXKWz7oNchZWORfhht5folbKHuqhatIjJ+G3Z+ah+twFSuuOBq7UPLgyJvb9XCfn4AfO70d7iP4c7drW//S1yI7zj0cDh4m8tdUAlbcADhtsDiee2HEMl/9qJ65ZvQeL1r2Na1bvwQsH6/rCPxOFeuRqbO4aeO0BQK7ZiOLxaZr2E45nor0EEcflCTgsn4fj8oSgYSKPeE+0H5TWamD9LCUcNjDA4gmNrZ+lrDdcOToi3K69/789zRsF05U/Q7QAFY5NxZaKmbhr3lfwl9QyzOhZg6t7HsfCnp/hNsMT2HTFa/jmg2tRECxMFK0xEwVgDhPEDCZcgDPWhmsQihJf7ekuzF+zF6t3HPULrTXZerB6x1HMX7MXtae74jRCIiIiIiIiIiIiIiKioZfQDUWBmM1mLF26FEuXLsXRo0dhtVpRWVmJ+nplskmgRiKPgeEj78dlWcauXbuwa9cumM1m3HbbbbBYLJg6deoQnRmNFJdccknIgM3hw4exZMmSmBz78OHDIZdPnDgRZrNZ835H4jkRjSTt3b4NYiZ0o9KwEhkCJ0AQDSvvB5kAZwRQMux+bScaFdrlVNzh/DHyhFZkoBOnZDPGCbZ4Dytq0uH7u4QdKVjrXoAn3TcHbXSZ36u0dNyt3wqTcCYeww6pUGxGpWElTtvnApdalACFSvqpd+Lv067Ehn01qDpQh0abAyZ0x3C0EepqAVLG+TUehZRkAmz14dcDgLYatL+xBjd+MAMnWzsxUajHBKELNqTihJyPZrsyQVcvCjDLkf0+OvDaK5tWAJ0Y3aT8cJ1oHzFHhxIGUxsaW/omYByGf9c2pke4XUbEhzQbDaiYW4J7Z09CdUsnOs44kT7GgOLxaequ2ziMmUaHiePTkGNO1tT2E4sAp1aj7v5MQ8LmcKL8mYOoaw39u1tdazfKnzmIrRUzYWJTERERERERERERERERjQLDoqEomMmTJ2PlypWoq6vDa6+9hltvvRXJyckBG4m8ebcWAfBrLero6MDTTz+Nyy67DBdeeCFWrVqFpqameJwiDUMzZ84MuXz37t0xO/Ybb7wRcnm4sUW63XA8J6KRRK/z/Zyz6LahUGyO02iIKCJdEnDcFXjZhQZAz7oxokTTLqXgT64r8WLSL7A9+SH8JfnnIypMBCgBokBCNbrYkYIn3TfDkcDfX1IoNsP83h/wbv430WsuVLdRZhEwbVlfcGDfT+Zg950F+EPmczEda8Qml2rcQA6/ihfngT/glo5KvJV8H7YnP4TNyf+D7ckP4a3k+1ChewkmdMMlyegUUjWOQ9GB/u0KslJgmVEU0X5C8Uy01yIRJtpHbP+68GEij7Ya4MC6WI4mMMkNNH8C1O1X/pTc2vcxbrLm9jGY8oFxJdqPNYBOFFCSY8KUoiyU5JjUh+DiOGYa2XSigLKpKj/nzopFgFOrUXd/piFh3VsTNkzkUdfaDeu+mtgOiIiIiIiIiIiIiIiIKEEM60CRhyiKuPbaa/Hiiy+ioaEBTz31FKZOnRowNBQsXDRwHc/jn3zyCR566CGce+65uPHGG/HXv/4VbncEExpo1Lj66qtDLv/kk0/w+eefx+TYO3bsCLl83rx5Ee13JJ4T0Uhybmb/hEsREsr0O+M4GiKKyEcuQAqy7GJ+KzJRovlcykSXMAZLDa8iV2iL6bHc2nIeURbZwS8STmC8YI/yWKIr9cPnsfDZD3B1y/04iZzQK2cWAeUv+7S16HptKHrtdiR3N8Z2oJE6+pr69hLzOUBvp6bdj0cbHjBs9rv+c4U2LDdswpakR1AgNOGYlI9GOVPTvhvkLFTL+QCUMFHlkqkxaQgYrhPtIyK5gcNWbdscskYW6ImEowPY/Riw+kLgqenAs9cqf66+UHnc0aF+X6JOaR/TYopF2S5ehuOYadiwzCxCQVbggPBAsQpwajWq7s80JNySjKqDtZq2qTpQB7cU11/EiYiIiIiIiIiIiIiIhsSICBR5S09Px7Jly7B//358/PHH+NGPfoS8vLyAwSFvwVqLPMtcLhe2bt2KhQsXIj8/Hw8++CA++OCDoT05GhYmTJiA888/P+Q6L730UtSPe+TIEfznP/8JulwQhLDBoGBG4jkRjSROqT+FMFGoj/nEZiKKgfedgR/PFIBzOVmUKFG0yOnY5JoJUQDOEU4PyTF1cZwba8KZkMu/cm46REEJNJcIJ3Gp8CnOE0/iB+l7h2iEkcsTWlEs1KNOzsHXHb/EKuciNAtjfVcy5QOzHwWWvglkFfsu09L2Eg/dpwFHOyCGaYrKLAKu+UXUD18oNqPSsBIpcGCza5ambatccyBBRPoYA/5093QUjo2s5UgNNRPtPdf3dem1WDLZMXQhm2g6dRSwN2jbxl4PnDoWm/F4a60G1s8Cdq/wH6O9QXl8/SxlPbUNRtOXKde2Gmfbx+JuOI6ZhgWz0YDKJVPD3utiGeCMxHAMQlHiOtHSiSZbj6ZtGm0OVLdoC1wTERERERERERERERENRyMuUOTt/PPPx2OPPYa6ujq8+uqr+MY3voGkpKS+4FC41qKB63gea2lpwW9+8xt85StfwZQpU/DUU0+hvb09PidJCekb3/hGyOVVVVVRP2a4fV555ZXIzs6OeP8j8ZyIRoodH/R/M74ZXXEcCRFF5LQb+DzIhNiLDIDAb9omSgRuGRgvdGCRfi/yRkl4twOBgxwiJFyW1ozN8xw4NmMXPs5Yju3JD2Fz8v/g9aSHMKcndm2J7VL0wiXpZ39vsiMFa90LMP3MEyg3rkX37VuBew4AD3wIXPmQTzMRgMjaXuJFcilNRaZc38dN+cBVDwMLnwHcvTE5dKHYjPv1m3GDbp/qbWqlbFjdpQCAjjNO/OXwyZiMzcNsNOB3t1+C9DH+E+hN6EaF7iW8lXwftic/hKd6HkbqMzMja82JIbck42iTHYdqWnG0yR64TSHSsTraBzW28PvvACpvCR/Oa6sBnp4N/PoCdQ1GxnSlVSxcQCdA+1jcDMcx07BRODYVWypmYvm8ycg1G32W5ZqNWD5vMrZWzIxpgFOr4RqEosRkOxPkCzzC6IhwOyIiIiIiIiIiIiIiouEkzFfVjgyiKKK0tBSlpaVob29HVVUVnnvuObzzzjsA/BuLPC1F3v8dbJ0jR47g3XffxQ9/+EPcdNNNWLx4Ma655hq/kBKNLt/+9rfxv//7v0GX79+/H4cOHcKUKVOicryuri48++yzYcc0GCPxnIhGiu7+giK4R3ZWmGhkCtZOBAAXc2IcUaKIZ1NQPDTIWaiW830eM6EbFt02lOl3ItfVBpzN//v1qMnSwEeiolbKxjLn/Vhn+A0KxeZB7y9FcABe2QsJIt5sH4una7Jx/9WTg28YSdtLPDnagekPA1+8+WxrkQ44tgM4vAHYvTKmh16sex16Qd318Jk0HuXOh9GJ/snjVQfqcO/sSdCJsXkD1p7uwveeP+I3YbhAaEKlYWXg68zTmvNelRLsGNheNURsDiese2tQdbDWp3Uhx5yMsqmFsMwsgtkzwd6YHtlBjBlBF7klGSdaOmE744R5jAETx6dpf520NH0FCjeFei2yioGle4AD64FDVqVxycOUD0yxKC0/iRTMieKYA70+AAb/mtGwZTYaUDG3BPfOnoTqlk50nHEifYwBxQl8HXiCUBv21aDqQB0abY6+ZblmI8qmFcAyo4hhIgrLHCA4rEagwDEREREREREREREREdFIMyoCRd4yMjJwzz334J577sEnn3wCq9WK559/Ho2NSruDd3AoULAo0DqyLMPhcODPf/4z/vznPyM/Px933HEHFi9ejEmTJg3h2VGiOO+883D55ZfjrbfeCrrOL3/5S7z88stROd66devQ1hb8W9JTU1OxaNGiQR1jJJ4T0Uiw5cBnff9dIDThCcNv4zgaItJMloMHis7RAWP9pukTEQ2J191T8FXhGGxIxQk5HxOEluABixhrlDOw0XU1rO5SdCIF5c6HozKWX+ifxfW9K30CLACwZucxyDKw5Iov9AcyvHW3Duq4kXLLAnRCgPYZNQ4/B8z6EdBeq64RJkrUhokA4K/uy1En5/g81mhzoLqlEyU5pmgPDTaHE+XPHERda7fP4yZ0q7u+2mqU53Lpm0MeSqk93RVw7ADQZOvB6h1HsfnISVQumao0joybDJjytAXhTPnAuBK/hzUFmUKJZtNXsNfCmK60jF3xIHDqmBJKMmYo5yUm6O9YgxxzsNcnNVnZtqunvxVT82s2FCS3Etp0dCjPxbjJiftaDVM6UYjJPTVWhmMQihLPxPFpyDEn+9wXw8k1G1F8NoxJREREREREREREREQ0ko3qGoMLLrgAjz/+OE6ePIktW7Zg0aJFSEpK6gsJeYJDA9uGPMsHruN57PPPP8fKlStx3nnnYdasWdiwYQO6urridJYULw8++GDI5X/961/xxhtvDPo4LS0tIZuDAOC73/0uMjIyBn2skXhORMPd919+H4D3xMeWOI+IiDT5zA20B5kcznYiIooTlyxgsf4f2Jz8P9ie/BDeTv4+/p7007iEiQCgV9bjb9KMvuBPnZyD+b0rsMq5CA1yVsT7LRRbYNFt83tckoEndh7D/DV7UXva6+/yjg5g92PAX+6I+JiDoRNkHHJPQoscQduMvR74/N0hDRNptUj/JkT4B5AGtgepJrmB5k+Auv3Kn5LbZ7F1b03AQI5Ft039td5WAxxYF9n4IhQsCDVQXWs3yp85CLvDqQQyLrVoO9AUi1+Qo/Z0F+av2YvVO476Tcr2BJn83jfBRLvpK9RrIeqA7POBgunKn8MhoBLBmEO9Pl09bp8wERDBaxZLnvvr6guBp6YDz16r/Ln6QuVxR0d8x0dx5wlCTSnKQkmOiWEi0kQnCiibWqhpm7JpBbzOiIiIiIiIiIiIiIhoVBjVgSIPURRx3XXX4c9//jPq6+uxdu1aXHrppX0BIQBhw0UD1/E8vm/fPixZsgS5ubm48847sWfPniE/P/Ll/ToF+t/ixYujcpybb74Z5513Xsh1LBYL2tvbIz6GLMuwWCzo6Ag+scJgMGD58uURH8PbSDwnopFC08RHIkocwdqJRABfGnVlokSUIPQDWnByhHZkCPGbbF4gnkKlYSXS0B+gsCMFa90LMKNnDa7ueRzlPT9GfQThojL9roAhFmBAIKO1Glg/C9i9AuiKIMAtRCfA8BWxGj/svTuyjY9sSNgwEQDkCa0oFur9Hk8fozFgqyKY4JZkVB2s9dtUhIQy/U5txztk9QsrxVKwIJQ3ERJKhJMY3/Yu/vaPncr4pi8DMovUHSSzCJi2zOehiIJMocQiIDLEr0UiUfv6BKL6NQPglmQcbbLjUE0rjjbZ4ZYibE3z5n1/HRgyszcoj6+fpaxHRBQhy8wiFGSlhF8RQEFWCiwzimI7IEp4MfnMIyIiIiIiIiIiIiJKQAwUDZCZmYl7770X77zzDj744AMsX74cOTk5AYND3rxbi7zX8TzW1dWFDRs2YM6cOUN+ThQfoiji//7v/0KuU1tbiwULFuDMmTMRHeNHP/oRtm7dGnKd+++/HwUFBRHtf6CReE5EI0FEEx+JKP5cMvBRkImbk/RACn9VJyLyKBSbA7cJQcRxeQLelL+Mn/TepXm/wUIsHnWt3dj4zw8H3+wz835g9qNAWm7k+wCgFyTcrNsX2cZH/Z8/tRrkLPzauRBNckbE+1AjHb7BtVyzEcXj09TvQGUwoe74h34NLgAwUahHrtCmbdD2euDUMW3bRChYEMrDhG5U6F7CW8n3YXvyQ9ic/D+4/cg3Ia++ENi/Drj1j+FDRZlFQPnLgNHs87CaIJNHXWs3rPtqQq9kjKBpK5whfC0SjZbXJ5Bwr5nN4cQTO47h8l/txDWr92DRurdxzeo9uPxXO/HEjmOwqQgjBeToUHd/batR1nPYIjsOEY16ZqMBlUumhg0VFWSloHLJVJiMbAwerWL2mUdERERERERERERElKA4SzGECy+8EP/3f/+Hzz77DK+88goWLlwIg8HQFxIK11oUaB1P4IhGh/nz5+P6668Puc4bb7yBa665Bg0NDSHX89bT04O7774bq1atCrleXl4e/uu//kv1ftUYiedENJwJiHDiIxHF3zEX4Aiy7GJOXoqWF51XxHsIRBQlodqEAKALxoj2OzDEMpB4cN3gwkSZRcCM+4ErHwIuXRz5fs6apfsAjVqDPSnjI2pW+kHvPbi653HM6FmDNe6F2Oi6WvM+tOhAqs/PZdMKoBOFIGsPoCGYkPdKmU/jlYc5zLUQ/NjtkW2n0YmWzoBBKAAoEJqwJekRLDds8vu7geAJU/35O0qoaPajgCnfdwemfOXxpW8CWcU+i8IFmQKpOlAX+pv8x02GNMiAXUCDeS0kN9D8CVC3X/lzmLQdRfL6BBLsNas93YX5a/Zi9Y6jftdfk60Hq3ccxfw1e1F7OoL3z34N99e2GuDAOu3HICI6q3BsKrZUzMTyeZORa/b9vTHXbMTyeZOxtWImCsemBtkDjXQx/cwjIiIiIiIiIiIiIkpQ+ngPYDjQ6XS4/vrrcf3116O1tRUbN27Ec889hyNHjgBAyMCQd2PRcLZnzx4cPXpU0zanT58Ou84f/vAHzWO58sorUVJSonm7eHn66afxla98BS0twSdv7d27F1/60pfw05/+FN/97ndhMpkCrudyufC3v/0Njz76KD799NOQxxVFERs2bAi6r8EYiedENFxlp+ph7ub/iU00LH0Q5FttkwFM5q/p0XKr/s14D4FGObcM6Ib3XwcThqdN6Lg8IeByGyKb/DkwxOJNhIQbXa8rKe5IeLe9SG7gyHMR7qjfWMGODc5rsNjwD/Ubnfd14N0/aj7WSXm8z/NtdZdioW4PCsXmsNvKgg6CrD6Q0SBnoVruD7kUZKXAMqNI/WA1BBOM9jpYdNuw1r3A5/FIryEYMyLbTiPbmcC/O5jQjUrDyvCvS1uNEipa+iZwxYNKm4+jXRn/uBJA1AXcLFSQKZhGmwPVLZ0oyQny93dRhwNZN+GyzvWa9htWJK+Fo0O5fg5bfZutTHnApRZg+rLYNCpFSSSvTyCBXjObw4nyZw6GbT+qa+1G+TMHsbVipvpWD8mtPOdaHLIq126Qa5WIKByz0YCKuSW4d/YkVLd0ouOME+ljDCgen6Y+xEwjUkw/84iIiIiIiIiIiIiIEhhnKmqUlZWF++67D/fddx8+/PBDWK1WbNy4Ec3N4SfTDGfPPvssnntu8BOfBrrrrrs0b2O1WodVoCg/Px+VlZW47rrrIEnBv027tbUVy5cvx6OPPorZs2fjq1/9KnJycqDT6dDa2ooPPvgAb7zxRsgQj7dHHnkE11xzTbROw8dIPCei4aq1ywWzwG9OJRp2zsjAUVfgZV80AAZOZIoWzgmjeGtDGsahM97DGDFCtQmdkPPRKGdqam4cGGIZKOImyJTxwLS7gWnLlDARAJw66htWGISd0lcxW/qXqmAPMouAS74TUaBoYNjKjhSUOx8OH17JLIIw+evAgd+pPlaVaw6ks0XaBVkpqFwyNabBhHLDLjzpvrnvmEBk1xBM+UoYZwiYxwR+Piy6bequBaC/5eXKh4Ds81VtEizIFE5HiO3ckoxHG2bAKr2sfuzhRPJatFYHb7byNDu9V6UEAwc0NyWKSF+fQAa+Zta9NWEnVnvUtXbDuq8GFXNVvgaR3BPt9UoQTuW1S0QUjE4UgodeaVSK6WceEREREREREREREVECY6BoEL70pS9h1apVePzxx1FZWYmKigp0dSmTmwY2FdHodu211+L3v/89vvvd74a9Ns6cOYNXX30Vr776asTHs1gs+PnPfx7x9mqMxHMiGm56XRKciHDiIxHF10dOIFhpw8X8hluikWScwDBRNIVqE5Igoso1F8sNm1TvzzvEEog5RIAppMnXAtOW9oeJAKUFJUoaMFZ1sAflLwMZhUrbiobJ+8HCVnVyDub3rsBi3TbcnfpPmHq9viDClA9MsShBKsjA0ddUtQbVStmwukuRazaibFoBLDOKtH3jewTBhGz4N15Fcg1himXI2lImjk9DjjnZp41GhIQy/U5tO9LY8hIsyBROeojtTrR0otquR7mg4jpWS+tr4egIHiby1lajrLf0Td/3dIKI9PUJxPs1c0syqg7W9v0sQsJEoR5mdMGGVJyQ8/3un1UH6nDv7EnqWj4ivSc62iPbjoiIKIiBn3lqaPrMIyIiIiIiIiIiIiJKYAwUDYIkSXjttdewYcMGbNmyBb29vQAYJqLA7rzzTrjdbtxzzz1wuYI0EkTBkiVL8PTTT0MQYv9/ZI3EcyIaTnb9uwlAhBMfiSi+PgjyTfLpAlA4NJOSiYiGm3BtQgBgdZdioW6PqnCCJ8QSii1EgCmkfz0P1O4Fvr0JkFzKxPnu05HtawDP8yBB7Av2lCe9gWzZa//ewR5PAOJSi9K2olKosJUdKVjrXoDN8jfx5vfOha6nAzBmKO0w3oGO8pfDBjZ6zYWwXf0cXs6ZhOLxaZFNyowwmDDZ7MbxAZtquYaQWXQ2PDU0dKKAsqmFWL3jaN9jEbVoaWx5CRRkCifXbETx+LSgyz2tOt4BtTL9LuQJrX3rNMoZMMKJDEFFsC+S12L/OlWBNwDKei9+G7jtecCYru04MRbJ6xPIwNfsREsnmmw9MKEbFt02lOl3+lxrjXImqlxzYXWXwo4U5TGbA9UtnepaPyJ9Ho0ZkW1HREQUhOczTwtNn3lERERERERERERERAks+NfwUlAfffQRfvSjH2HChAm48cYb8dJLL6GnpweyLDNMRCHddddd2L59O7Kzs6O+b4PBgDVr1uAPf/gDRHHo3toj8ZyIhot3P+ufzGV1l6JWiv77kIhioE0C6oLUE11kABigJSIKKFybEKAEXcqdD4f9vahWyka582F0np0EH4ynCTIibTXAk9OAp6YDz14LvFgGCIP/e43382BHCv6WfjvO3PMv4J4DwJ2vK38+8CFw5UO+bSrTlymhCxXUhK0AoN7uRDUmAAXTlXDKwHaYrGJg6R5g9qNKyMmbKR+Y/SiS7tmLiy7+KkpyTJF/w3uEwYSfLroMBVm+14Daa6iv/WmIG2ssM4t8xhxxi5aGlhdPkEmLsmkFIV9P71YdT0BtRs8aXN3zOBb2/AxX9zyOy3t+ixt7fxGb10JyA4et6tcHgJo9wLorgNZqbdvFWCSvTyADXzPbGScKhCZsSXoEyw2b/IJruUIblhs2YUvSIygQmvoe7zgTJDg/0LjJSnOaFqZ8JbhIREQURTa1n10DqP7MIyIiIiIiIiIiIiJKYJyhr1JbWxuefPJJfO1rX8PFF1+MX//612hsbOwLEQmCwPYUUuWqq67CJ598grvvvjtqIZnZs2fjvffew3333ReV/Wk1Es+JaDh4t7Z/QpfqiY9EFH/vh5hwcrEh+DIiolFMbcAF6G88WeVchAY5y2dZg5yFVc5FuL53BerknLD78jRBRkweECCVpcj3Bd/nIddsxPJ5k7G1YiYKx5uVQE+wYA+ghG7KXw4bKlIbtvIIO5HSmK6Emx74MHzoKVIRBhPyJ16MLRUzsXzeZOSajX2L6uQc3Jm8Cm8XLoM0cL9ng1BY+qYSmBpiZqMBv1pwEfRngx8Rt2hpbHkZGGQKpSArBZYZRSHX8bTqeJMg4rg8AYfl83BcngAJYsj386Bei1NHAXuDtm0AoL1Wad1y2LRvG0NaXp9AAr1mGeIZVBpWhm3rKhSbUWlYiTR0AwDSx6j8fVbUKc1pWkyxBL6/ERERDYJZ7WfXAKo/84iIiIiIiIiIiIiIEpg+3gNIZJIk4dVXX8Vzzz2HLVu2oLe316eBaGCAKFA7EUNGFEhWVhbWr1+PH/7wh3jiiSdQWVkJm03bZBSDwYDrr78eP/jBD3DVVVfFZqAajMRzIkp0LpfvBFXPZLvFum0o0+9CntAap5ERUVCyDHwQZOJ1ngiM5wTJwZBlFjwRjURaAy5Af+PJk+6bUSzUIx1d6EAqquV85KSn4GfzJuPX24+iocMRdl9WdykW6vaEnVQfa3JmEeSvP48NSecgfYwBxePTtDf6eBqDDqwHDlkBe33fImdqLta0z4TVXarpudYUHsg+X9t41fIEE3avUL/N2WCC2ahDxdwS3Dt7EqpbOtFxxun1/N4ISCuAU8eURh9jhtKOEsdAg83hxE9e+gAuSfk3KE+L1sD2mJAiaHkxGw2oXDIV5c8cRF1rd9D1CrJSULlkKkzG0NeFp1Vn9Y6jYY/t/X6ekdGG/+/6c5Gbkze418LREdl2gNI+dmCdEohLEGpfn0CCvWbFJyohqrzvFYrNsOi24S+pZSgen6b+4NOXAe9VKc9pOJlFwLRl6vdNRESkkifo3GTrUb1Nrtmo7TOPiIiIiIiIiIiIiChBMVAUwEcffQSr1YqNGzeiuVn5P86DBYnUhIg861xwwQWwWDR+82aC2LBhAzZs2BDvYURFoNcsXkpKSvDb3/4Wq1evxptvvoldu3bhww8/xL///W+cPn0adrsdbrcbJpMJ6enpmDRpEi688ELMnDkT11xzDczmKHyTc5SNxHMiSlSizr8RzDPZ7o/ua7DB8Ct8VVcdh5ERUVD1EnA6SDsF24kGxSUL0AuJ83seJQ63LEDndW2ckQ1IhhNacxgUe24Z0Hm9Lg1yFqpcczQHXLx5Gk888tKNePHu6Sgcm4prv5SLDftqsGFfDVq7e4Puw9MEqaapI2aMGRBurURR3kUoGvS+zjYGXfGgT1BGzJqEPz++G53DdSLlIIMJOlFASY7Jf91YBqEiYN1b4xMY8bRoLTdsUr2PU+eXoaauA+YxBkzUEEwrHJuKLRUzsWFfDaoO1KHR1h/IyzUbUTatAJYZRWHDRB6WmUXYfOSkqgCMThCw7KoSLLtyour9h2RMH9z2h6zKeyiB2nJCvT5pyco/AXf2uPoeC/maSW6IRzZoOn6ZfheSpv5IW9DR05xWeUvo925mkbJeNBrNiIiIBtASdPYom1agPdxPRERERERERERERJSAGCg6q62tDRs3bsSGDRvw7rvvAtAWIgq2jtlsxm233QaLxYJp06bFYug0AhgMBsyZMwdz5syJ91CiZiSeE1GiMSUFnrxWIDTFd8IrEQX3XpAJ6wKALzFQFCmnLMIgBAlqUUKqlbJhFHqRI7TH/Fi/c92ANOEMbtDtx1jBjjGC0hLWJSdDgIwUIXiQhIaWJ0zUKGfiR713Y598EST4B6gjlZasx2s/uAIZKUkAlEaPirklmPfFHHz9iTdDbutpgnxE/zy+pd8dtTENDLwF5WgH/lwOLH0zehPqBwRldMDwnkg5CoIJbklG1cFav8e1tGidRA5K3zwfnW++DQDIMSejbGohLDOLYFYR1PG8bwI3Omm7FtS26uSak1F11/TohtfGTQZMeYC9IbLt7fVKIC+BwmZA6NcHgPrX7NRRzc9NntCKO893hV9xoBDNaTDlK21i05YN6j3rlmScaOmE7YxTc5COiIhGBy1B54KsFFhmFMV+UEREREREREREREREQ2BUB4okScKrr76KDRs2YOvWrejt7Q0aIgLUtxEJgoA5c+bAYrFg4cKFMBqNsTkBIiIa1Wpaz/g9ZkI3w0REicotAx8FmWQ5UQekRW/S/GjhlgV8Lo9DgdgyZMeUZETcbDMwONAkp2OM3Auz6H8/H8lq5WyUOx/GzeI+TY0akfhcysJNurdxboBrJFVQWlhs0phR9xokulyhDb8wWHF974qIm4kCuXtWcV+YyNvkHBNyzMloCtPMY0cKnnVfF9VAkaowkUdbDXBgndIuFCPDfiLlEAQT4ulES2fA61Rti1atlI1y50983ldNth6s3nEUm4+cROWSqSgcm6pqLEEbnTTybtV5fn8tmu3+5yfJwCvvNagOPaki6oBLLcDuFZHvw9EenbHEQLDXR/Vr5uiI6LipUmdE2wVrTsO4kkG1QNkcTlj31qDqYK3Pe0drkC4uJLcS7HJ0KM/PuMkJ1YhFRDTSqA06F2SloHLJ1Og0JhIRERERERERERERJYBRGSj66KOPYLVasXHjRjQ3KxMtotFGVFRUhDvuuAOLFy9GYWFhLIZORETUxx2gjMOi28YwEVGiOuECuoNMHL/Yf4L7SCTLgBDFL4PXCTIKhKELEwGRh4mA/uCAp33lEvE4HjBsjtLIEp89aTz+JF+N39jnohMp2C5dgvvkl2LWLlUnjYNOkHFumGtkMGGidikVGWJXxNtTcIViMyy6bVjrXuDzuAgJE4V6mNEFG1JxQs5X1WLkHX5xSzKONtnx7wYbAOD8PDO+9bUC/GbnsbD7OSHno1HORK7Qpv2kouGQVZlwH6NJ5SNiImWMggmJwHbGGXSZp0VrsW4byvS7kCe09i1rRhYqnXNgdZcGDenVtXaj/JmD2Foxc8hfV7PRgJu+ko9Nh08GXN5sjyz0FNb0ZcB7VaEbrUIxZkRnHInImB7hdhmDO+6A5rTBqD3dFfReFmmQbkg4OoD964DDVt+WKFOeEoKbvizy14eIiELyDjpXHahDo83RtyzXbETZtAJYZhQl5u/AREREREREREREREQRGjWBora2NmzcuBEbNmzAu+++CyA6IaIxY8ZgwYIFsFgsmDNnTiyGTkREFFDSgPmQIiSU6XfGZzBEFN77QSYBJwE4f2T/Wu6SRegFSXOYqFNORpoQujFkOPK0rxiF3iE5Xoc8BulC/Bp4ftB7Dz6Si9AsF8DWo4SHTOjGOsNvYhImapCzUOWag2Q48X3D36K+f49aKRtLnQ9gvWF1woZ5z8gGjBGCBxASXZl+F5503wwJIkzohkW3DWX6nT5hnkY5Ey+65+IZVynsQYISuWYjNli+BhnA49v+jeferkFXj9tnnZQkHcxGPWyOIE1yZ0kQUeWaG/N2raDs9UpIJkoT7gMZMRMpoxhMSBTmMaGfcztSsNa9AE+6b0axUI90dKEDqahWGbyra+2GdV8NKuaWRGvIqtgczrAhNiAGoSdjOlD+MlB5i/ZQkSlfCamNVOMmKwEW70BLOAn0nMTtmhqs1urg16O9QWnUeq9KuW6ziod8eEREo4HZaEDF3BLcO3sSqls60XHGifQxBhSPT4NuMN8wQkRERERERERERESUoEb0zEVJkvDqq69iw4YN2Lp1K3p7e4OGiIDAQaJg60ybNg0WiwW33XYbzGZzDEZPREQU2gW5aTh+qn+C+EShPn7flk9EoTlk4NMgk9QvMACGkTcpxSUL2Oqehqnip8gTtd+bPpfHIg2hJ4EOZ0MZQIlnmKhBzsIr0uXKRPae/vBQLBr1/uSahd+756NazgcAvJV8X1T3761RykC582GclMfjB857cbtuO76uewepCRaAG85hIgDIE1pRLNSjFwZUGlYGvGZyhTbcr98ES9rbuNP9KA7bM/zWabQ58I31b6PXKcHeE/he3N2rBIx0AuAOUibnYXWXYqFuT/yCZLbPlaCM5AZOHVXaLIzpSgAgSg08nEgZQgyf93Amjk9DjjkZTbbQ9xoJIo7LEwAozXpaoptVB+pw7+xJql9ntyTjREsnbGecMI8xYGIE14h1b03Y4IdH1ENPWcXA0j3Ai7cDNXtUb/b5pG+iq6U7ovMdFkSd0oaze4X6baZY+t4L0bguBiOu11SkHB3qwm1tNcp6S98EjPw3aSKiWNGJAkpyTPEeBhERERERERERERFRzI3IQNFHH30Eq9WKjRs3orlZmeATjTainJwclJeXw2Kx4IILLojF0ImIiFTLyUgF0NL3c4nwWfwGQ0ShfeIEgpVeXJwA34YeA3pBxk36/RFtK8lAOjpHZDvRaFPlmuPXihGrRr05uvfwsOtuSBBRIpyMacj2fuf3cLO4z68th6IvD6fxC4M1bHgn3fE5XjQ/hlLhlzhh829iOd2prhHMLQNmox5Ggw7N9sD3IDtSUO58OGjIKeb+di/wxZuAj//m2x5iylMCANOXKUGXKOBESi+ODmD/OuCwNTbPu4qgkk4UUDa1EKt3HFW/2zABuYEabQ5Ut3SGfd1tDiese2tQdbDWJ+CUY05G2dRCWGYWwayi8cUtyag6WKtpjFpDT2EZ04HbngfWXQG0hx9LrZSN69++EJ1v79F8vsPK9GVKG46a9qbMImDasqhdF4ORENdUJPavU9+U1VYDHFgHXPlQLEdERERERERERERERERERKPAiAkUtba2YuPGjXjuuefw7rvvAhhciMiznsFgwPXXXw+LxYLrrrsOOt3QfOssERFROMn6/s8kE7rxU/3GOI6GiEJ6P0hLiEkAivj75UCiAKQh9mGiOmkc9ktfxALdXugFLf0Nvtyy0mpCvmqlbFjdpX6Px6pRb7zQgWKhHsflCTCjK+r792iW0/GY4Q8oFFvCr0yDNld3RHVox2CrxXXOv2ItFgzqmDaHC3fO/AKuvygPHWec+Ky1Gw/8+T2fderkHMzvXYHFum0o0+9CntDat8wli6ruKbXSeBgFJ3KEdm0DtDcoE8kDPb57hRIAKH9ZaV4ZrDi28SSU1urgzSGDfd41BpUsM4uw+chJVe0ratqMAuk4E7rdrPZ0F8qfORhwDE22HqzecRSbj5xE5ZKpKBybGnJfJ1o6NY9RbehJE2M68J2/hm2IqZWyUe58GJ1IAaD9fKMtpk1AxnTlmg7XmpNZBJS/jNouHcqf2RuV62IwEuaa0kJyK/cALQ5ZgSseHJ33ZCIiIiIiIiIiIiIiIiKKmmEdKJIkCVu3bsWGDRuwdetWOJ3OoCEiIHCQKNg6X/rSl2CxWFBeXo5x48bFYPRERESD897J9r7/tui2IV9sDb4yEcVPhwTUuAMv+5JBSc/QkGqQM/GCaw7+KV0MPSS86J6NG8W3cLN+LzKEM5r3xzCRv4ETrr3FMuyTfnbfNsRuonKS7EK22BGz/VO/BjkTpbpDmrYp0+/Ck+6b/ZqxtHrhQB3um1MCnSjAPCZwm4YdKVjrXoAn3TejWKhHOrrQgVS4oMNzhsdCBqE875GbxX1Ybtg0qLH6aatRAgBL3wSM5sj2ESzkkjIWuHABMPtRICUzKsNNeI6O8IEKILLnPYKgktloQOWSqUEDPR4FWSn4+U0XYrH1HXVj8ZIe5JoHlGaicMcGgLrWbpQ/cxBbK2bCFKCRxhOEOVh9WvP4gPChp4hkFQNL9wAH1ithDXt936IGOQtVrjmwuksDfraFO99oG7ImoBDPCUz5wBSL0kyEMShfEzhM5G0onidbhNdGTK4ptU4d9b3XqmGvB04dA7LPj82YiIiIiIiIiIiIiIiIiGhUGJaBog8//BBWqxVVVVVoblYm6AymjcizTkZGBr71rW/BYrFgypQpsRg6ERFR1LR19wIAREgo0++M82iIKKgPQkxO/HLsJ5ySvwPu81Gm34Xlwua+xxrlTPzdNRPfMWyP48hGBqvrGqxy3RpwwjUQ27BPx9l9n5Dz0ShnRr0JqV1ORYYYu0AU+XrdNQWLNb4n84RWFAv1qJbzMVGohxldsCEVJ+R8TSGjJntPX1vFxPFpIZteJIg4Lk/weezO5FXYPuMT4LAVotck8YGhBKu7FAt1e1S3MKnWVqO0GF35kPZtQ4Vcuk8D7/weOPQM8LW7gDmP+rTnBBPTFpVY278ufJjIQ8vzPoigUuHYVGypmIkN+2pQdaAOjTZH3+q5ZiPKphXAMqMIKUl6zS1FuWYjisenBV1u3Vujqh0JUMIj1n01qJhb0vdYsCCMVqFCT4NiTFdevyseBE4dw5/3foCn32lFtYp7SKDzjYVoNkSpMuA5gaMdMGYA40r62nGsO44N6rqIpmAh0HBidk2p4YgwqOxoj+owKLEN689SIiIiIiIiIiIiIiIiSljDJlDU2tqKjRs3YsOGDfjXv/4FYHAhIs96oiji6quvhsViwS233ILk5OToD56IiCgGnE4XAGCiUB/1CdNEFCWyDLwfJFCULQI5uqEdDwEAbta/7fdYrtCG7xi2wyWL0AtSHEY1tNyyAJ0Q+O9Ng7XFfVnQMBEQu7BPg5yFajkfgBLwqHLNjWrzS62UjRTBEX5FiopaKRs7pUuwGNpDft/VvYqrdO/5XGONciaqXHNhdZfCHuL69OZpq9CJAsqmFmL1jqOqx3DT9AsgXnUjMOuHOP7JETxStRetUopfKMGOFJQ7H8aLhv+NftvkIasSABA1fNaoDbnIEnBwPfDei8DiV4C8LwdcbWB4RISEiUI9ilKdmHXRJNw07yqYU4zqxzfUJLfS0qSF2ud9kEEls9GAirkluHf2JFS3dKLjjBPpYwwoHjDBXOu1WzatIOgEdbcko+pgrep9AUDVgTrcO3sSdKIQMgijRbjQU1SIOrjHnYdV/z6JJlndPQPwPd9YiFZDVEREXcA2nMFeF9EWLgQayJBcU6GoCGYG3i4jqsOgxDRkjWREREREREREREREREQ0Kqn/et44kCQJr7zyChYuXIj8/Hzcf//9ePfddyHLMmRZhiAIff8D0Pf4QIHW+cIXvoCf//znqKmpweuvv47bbruNYSIiIhpWunvdAAAz2JRAlLAaJaAlSDjlYk76SkSJGCb6TBqPPzhL0SBnRm2ff3bPitq+BuoY0EAkQkKJcBKXCp/icpPSwlLlmhv141a55vgENazuUjRG4TlrkLOwyrkIFc7vY7xgG/T+KLxaKRvlzofRiLERbX+bfrdfYC1XaMNywyZsSXoEBUKTqv14t1VYZhahIEtdqKAgKwWWGUXKD6IOWxsycNA9GcflCQEbTurkHPzYeZeqfWtir1faRLTQEnIBgJ4O4PdzgIb3/RbVnu7C/DV7sXrHUXTb2lChewlvJd+H7ckP4feuR1H+7jfR8/9dgPbX/jdgO4dbknG0yY5DNa042mSHW4pNCDKkU0cBr4YpVdQ875EGlSS338M6UUBJjglTirJQkmPyC2hEfO0GcKKlU3OrUKPNgeqWTtVBGDVChZ6iaTDnGyuRNETFWqI9T54QqBZDdU0FNW4yYMrTto0pX2mJohHN+7N04PvM00g2f81e1J7mvwsRERERERERERERERFRZBKyoejDDz+E1WpFVVUVmpuVCWeDaSPyrJOSkoJFixbBYrHgyiuvjMXQiYiIhoxer3zruW3AxG0iSiDB2okA4CIGiig0tyzgCdcCPOv+OgQASXDjOwbtbS2B3KA7gHYpFRlidCcfercEmdANi24byvQ7+8MdTqDFmIU/Oa9Ah5SCdHHwE8sBoE4aB6u71OcxO1LwUO/d+GPyY5r3d2fvg+iQ09CB1L5GmUuFT6MyVuo3sCmrQc5ClWsOrO5SdCIFIqSot1kVis2oNKzE9b0rQjZp5ZiSfdoqzEYDKpdMDRuIKMhKQeWSqX2NIGqbOyINT4XlaO/7T7ck40RLJ2xnnDCPMWDigCabiEIuACC5gOduAO7/ADCaAfi2qBQITag0rESh2Oy36Xi5FTjwf5A+3QTxOy8DWcWqmhhSk/ShzyVaAgSd1G3XHnr5YIJKARpiQon02g3EdibE7zUhdJxx4tUPGqMSJgoXeoqmwZxvLCRaE5BHoj1PgBKk23zkpKprbiivqaBEHXCpBdi9Qv02UyzaGuho2IlrIxkRERERERERERERERGNGgkTKGptbcXGjRuxYcMG/Otf/wIwuBCR93qXX345LBYLvvnNbyItLS3QpkRERMNOUVYKak6fwQk5P+qTbYkoCiQZ+CDIRMkv6ABzQpeFjnouWYx7W5FOkPGqNA1Zgj3oZPxIpQkOQACcsghDFM/T0xIUMkCAVnzf8De45ehNbv6H9LWA4ZC98kVokjOQI7Sr3leDnIXd0lf9mmQY4I0+7zBRi2zGi67Z2HA2TAQAEkRUueZiuWFTVI9bKDbDotuGte4FQdf59vRCvwn4malJmH9xHp57uwZdPb5NMWnJetxxWSGWXTXRZzKv2uaOmP0+Z8xQFdAxGw2RhVw8HO3A/qeAq34CoL9FxYRuVfcvsb0GqLwFdbe+jtsrPwk4edrTxPDsvv/AoBNwqrM3+LlEizE9wu0yQi+PVVApiMKxqdhSMRMb9tWg6kAdGm2OvmW5ZiPKphXAMqMo7ER085jIntu0ZL3mIEwgakJP0RTp+aZHuF04g2kCKskxxWRMQOI9T0B0g3RDZvoy4L0qdS1xmUXAtGWxHhHFWSSNZBVz2VpFRERERERERERERERE2sR9FuMrr7yChQsXIj8/H/fffz/effddyLIMWZYhCELf/wD0PT5QoHVyc3Px4x//GP/+97+xd+9eLFmyhGEiIiIaUb6Yr0xwlCBik2tWnEdDRH6q3UBX4CA8Lk6ASYsUkl6QsNE1B3Z5TFzHcQ5O4UXD/0Y1TOTNIEhRC/bUStmwuktVBwi8wySDdb3uAET4B6MkiNjoulrTvl53XRrwcU/gg2JjvGDDA4bN2JL0CAqEpr7Ht5tvgZRRFPXjlel3BbxmAGBC5hi/tora012Yv2Yvntp9wi9MBACdPS688n4DWrt6fR73bu4QIaFEOIlLhU9RIpz0Ob4EEZuj/fucKR+1Qj7mr9mL1TuO+gURPAGd+Wv2ovZ0V+QhF493/gBIbp8WFYtum/r7V1sN/vHsf4edPN1xxukTJgICnEu0jJsMmPK0bWPKB8aFmdAdq6BSCGajARVzS7DvJ3Ow/YFZ2LTsMmx/YBb2/WQOKuaWqApUTByfhhxzsqbj5pqNkAHNQZiB+1g+bzK2VsxE4dihC3dGer7e7WbRlIhNQEDiPU8eniDd8nmTkWs2+h0/HtdUSMZ0oPxlJSwUSmaRst7ZRjgamSJtJHNL0fv9moiIiIiIiIiIiIiIiEaHuDcU3XTTTRAEYVBtRJ51kpKScMMNN8BisaC0tBSiGPe8FBERUcycbFcmWxYITbhJ91acR0NEft4PMnlTD+ACBoqGg7niEZiEM4Pf0S1PA8km4MVvad70qaTfIFXoDb/iIEQj2FMrZaPc+TA6kYIK3UsxC0AFkye0oliox3F5gt8yq7sUC3V7VI9psWE7SvWHUOWaC6u7FPYYt+UA0W+KGs4KxWZUGlbi+t4VyMoah3VLpkIUXgYqb1HX2qBSsGsmL92Ijd+d5hOusDmcYVsuAKUdoPyZg9haMbNve/MYA0zohkW3DWX6nT4NRI1yZt91linYcYNuX9TODwAcX/kOyq2HVY/7tW+NG1wPV1cLcOoYTsjnoMnWAxESyvQ7Ne3i+t7XsQLX+zWEqRXoNRgUUQdcagF2r1C/zRSLsl0onqCSlkYoNUElFXSiEHFbjU4UUDa1EKt3HFW9Tdm0AnT1uCI63i9uuhDTiseieHyaX2PYUIj0fGM11kRsAgIS73ny5gnS3Tt7EqpbOtFxxon0MYa4XVNhZRUDS/cAB9YDh6yAvb5/mSlfub9MW8Yw0SiQqI1kRERERERERERERERENPIkTOLGu43I0zI0MEwUrLHoy1/+Mn7zm9+gvr4ef/nLX3DdddcxTERERCNed4+7rwXiXLEl3sMhIm+9MvDvIIGi8/VAcgJOYBwhgnwfQURyxfbB78SUD1y0CJh8LaS0XM2bxzpMNFiNciZWORfh+t4VqJNzIgoQRMtU4RO/1hcAsCMF5c6HUStlq95XrtCG5YZNfm05Vneppv2E0yBnYZVzEW7o/WVU9ztU6qRxWOu8CQ1yls/jTXIm9rm/GHGjU6HYjN+fd6i/OcIzwXr2o8p7ypspH7jkOxEdJx39TTZpyXrcO3si/vHALL+2CuvemrChHI+61m5Y99X0/TxR14LXjI9iuWGTT5gI6L/O/pH0I2w2/D8UiKciOo+AkkywOks1jfvZTw3a23gGcrT3tahMFOr9zjkcT9BrMAa+BoM2fVn4xhCPzCJlsn84nqCSFmqCSkPAMrMIBVkpqtYtyEqBZUZRxEGYacVjUZJjimvwI5LzjZVEbQICEut5CsQTpJtSlBX3ayosYzpw5UPAAx8C9xwA7nxd+fOBD5XHGSYaFRK1kYyIiIiIiIiIiIiIiIhGnrg3FHnT0kaUlZWFsrIy3HnnnfjKV74yFMMjIiJKKHkZRlh024a8BYKIVPjECQSby3Ux24liSRCAZjkd2UJHvIei8JoAfiDrJlzWuT7OA4quKtccrHUv6Ps5kgBBtKxIsgLwbX3xtAvVyTmY37sCi3XbUKbfhTyhVdU+C8VmVCX/CqWOX6ITKX3hpErDykF9/p6STSjr/SmOy+f0NbEEG1+TnIlkuRcZYlew3fVxyQL0GhqnWpCBSudcfEv/hs8xm+V0JMmukMf0tFLVyTlY7f4GioV6pKMLHUhFtZwPCSJESJgknMSFwn/wM0MlMgR14RYAuKz170CSVyuMZ4L1FQ8Cp44B3acBR4fyuKMdOPJH1fv2+F7pJbCbJuGCPHPQCeZuSUbVwVpN+606UId7Z0+CrtcG3cZbMAFNIdfPE6P/npFFHf54WNs1uvHg57j3ssUQ/7ky8gMbM2CWz7YzIfw1G0h6hNt563sNohEaMKYD5SpasjKLlPW8J/tLbuDU0f5rddzk/lDQ9GVwHtkIgy389eU0F8KgJqg0BMxGAyqXTA3b2lWQlYLKJVNhMhqQkqRHjjlZU9vGUAVhwonkfGMl0ZuAEuV5GjFEHZB9frxHQXGSqI1kRERERERERERERERENPIkTKAoUBvRwOWiKOLaa6+FxWLBTTfdhKSkpKEcIhERUULJSdVjUZxaIIgojPeDpIlSBWBiwvwKHpIkA4n85e2hZAsdsMtGmARHfAfi1VThlmQ82jADVunlERUE/Zb+DfzWfUtfKCbSAEE0eVpfFur29AVeAKWpaK17AZ5034z/p38Oi/XbVe1vAprwPeN2/H+OmwBEHk7yNk6wQ4LQ97wNHN/AcM4EoSVsiKlWysYO6RIs0W9TPY4/Oq/GWvcC/NZ9i98xU+EIeI4NchaqXHNgdZei82xgS4KI4/IEn32b0A2LbhvKk3ZhvKz9OYK9XgkOjSvxDWSk5QIf/w04bAXsDf3rCyIgS8H3N5ApH1dfcUXYxpcTLZ2aQhAA0GhzoLqlEyWfrAsdQIkhwdGO1J4aABPCrdqn0ebAfyaWY+L7L0Q2blM+MK4EEyEix5wMmz01/DYBdCCy7bz1vQY5pkHvC0B/S9aB9cAhq3J9epjylfDotGX9YSJHB7B/nf91aspTmommL4MNKbi79yd4TPpZ2Pf2j3t/gt9jDEwhAkpuScaJlk7YzjhhHmPAxPFpMQuSFI5NxZaKmdiwrwZVB+rQaOv/vM01G1E2rQCWGUV9oZFEDsKoofV8Y8kyswibj5xU1T421E1AifQ8EQ13nkay4RjEJCIiIiIiIiIiIiIiouEl4WYzBmojKikpweLFi3HHHXcgPz8/XkMjIiJKKHXH34tbCwQRhWCXgP+4Ay/7kmHYpHSGyTATlpRRBNGrqeJESyeq7XqUC4Nvt0kkeUIrioX6vjCJLQpBgGgpFJtRaViJ63tX9AVfPEp1hzTta4G8HatwQ18AyDv8c4P4Fp5Iekrz+IK1sAQK53iHmMoNu5CNwAEfAcDV4hFV15d9zARYHaVBj9kFI7ZJU7G/94swC52wyalog6mvfSiUAqGp/zpXX5jkb++vgf/sGRAc0gFygHusljAR4NMeFortTLC6udA6uhxKmCSOImn6aZPGKC07f7wJaK/TtvHZ51QHoGxqIZ7YcQaNcqam31cb5CxUy/7/7iNCwkShHmZ0wYZUnFBxHXZE+NoFNbAly9EOGDOU0Jv3tdRaHbzNyN4A7F4BvFeFl4p/g/3t6ZiPwAFFn/d2L/BR1aOY3vZ3v4CS48vfgdX1dWw4ctpn4nmOORllUwthmVkEcwwCHGajARVzS3Dv7EmobulExxkn0scYUBwkyJTIQRg1tJ5vLMeRyE1AifI8JbKhDP/R8DXcg5hEREREREREREREREQ0fCRMoMgTJPKEiNLS0vCNb3wDd955J2bMmBHPoRERESUkqas93kMgokA+cAafQH8xv5F9qMSznahdSsXmkiexJKu47zFPKMEnGKLfjmyhI17DjJqiFCeOn80tnJDz0Ywsn8BLOLIMCDGa+1goNsOi24a17gV9j00U6jUHcgcGpzwkiPhYLopobFpbWLxDTG/ckY8Dn1Tj6Xda/QI+5c7wobV6KQun5v4anS+3+C3zNAuV6Xf6PE+NciaqXHNhdZfCPiCgNXD7quRfYQKiEJp7/0/+jwUKE2nl1R4WjnlM6Pt2sKDL+J5a3+BHHETS9JM+xqC08SzbC+z4H+DQM+o2HPCcesIjVR1zsdywSfXxq1xzfK7nwVyP6WMM/hP3x46BrvVYwIYf1UQdkH1+4GWOjuBhIm9tNbj68FL8H34ZtJ2sRs7FF4RGzBLew0+TNiK/LsB91d4A497HcJ1kxQvOhwHk9C1qsvVg9Y6j2HzkJCqXTEXh2NgEPnWioKoJKtGDMGqpPd9YGg5NQInwPCUam8MJ694aVB2sHdLwHw2hEC1ykRjuQUwiIiIiIiIiIiIiIiIaHhImUOQJEl1xxRWwWCy49dZbkZISfJISERHRaJeUlgl0xnsUROTn/SCNCONEIC90mwKNDBliF1xHKuH++oy+bwn3DiXYkYIN7lIs0v0TGAFfIt6jN+GXN38Jsiwjx2xEVtNSYM9K1dvHKkzkUabfhSfdN/eFFMwRtLYAwdteTsj5mltY3LKA68UDeNadFTKcE4gEES1jvoDS6y7Gb4/vhTRgkql3aG1g44nHw7of4aFxEzE2tR2nu/rvWT7NQgPkCm1YbtiEhbo9KHc+jDq5P7iQY0pG6ZdyMfeCbFx4bB3GvtOk6ZyGVGaR0sBztj0snInj05BjTvaZ/A2EDrq8opuHCfbLojlqzRrkLNRAW8NzrtmI4vFpyg/GdGD+r4Gv3g48dyPQaw++YYDn1BMeWfaHLizs2qOqNavdeE5faxYQ+fUIANmmZGx5vwEvvlOHJltP3+t1+4CGL5jygEstwPRlyjkP1v514cNEZ01Ak0/g0dMUFuzaCiVUI1tdazfKnzmIrRUz4x7SGQ5BmOGCTUDDS+3prqBhuqEK/1EMOTqU+/9hq1+L3GA+Y0ZKEJOIiIiIiIiIiIiIiIgSW0IEis455xx85zvfgcViwcSJE+M9HCIiomEh6wsXorFB2wRmIoqxJjfQJAVedrEh9skJDdyyAJ0QrEqJButG1z9Q3dSBkrwMAP6hBItuGwpF/3aY4aZBzsK+jiy8+dcP+x4rNl2Al4znIMPxeRxH1m9gu5AtgtYWIHjbiwQRVS5tLSw6QcYDhs1YoHszYBginLRkvd8kU09TTgY6kS50Yr90Af7ROwUyBEwQnbjJa/sGhw7f+v1+n32a0B222QjwDS4IRjP+e/4X8cVz0jE5xwQdJOCVKk3nEjOCCMhe9+O0POCLNwCTSwFXj9IioKI1QCcKKJtaiNU7jvY9Fi7ocpf0Z+DVP0flNCJV5ZoDl6wtxFo2rcA/iHDOJcDyj4D9vwPe+QPQ5XXfMuUDUyxKM1GAgFbh2FT86QfX4uUdT2PuoaWYgBBBs8wi6G79C7IqP0dna3dE16N3kKbHJeGJnccAhH69YG8Adq8A3qtSQlFezXKaSW5lMrkGAwOPIccaRqBGNo+61m5Y99WgYm6J5v1GG4Mw0cUmoMRnczjDBkKAxAr/kQat1cGb6aLwGcMgJhEREREREREREREREcVa3ANF27Ztw7x58yAk0ORKIiKi4cDmgOYJzEQUY8HaiQDgosSZ5LXT+WXMNbwX72HEnNM4FgbH6bgcO09oxYdNnwJ50wD4hhJESCjT74zLuKKtyjWnbyK8R7VdjxuFH6IyaSUKBe2T4oNpkdNh1X0DD0l/0Lytd7tQJI1CDXIWquXgbS9WdykW6tS1sHgL1SoSSlePS9l+bCq23H0x3t+0EpM/+wuyhXa/dZvkDPxZvAVAQch9KiE3dePvCy44FuDBTe8DAHLMyfj+hS6Ue38zfzzJEnDbC4A+Gfj0NeDfW4CDTyv/AzS1BlhmFmHzkZOo0xB0iad6OQtWd2n4Fb0UZKXAMqMo8EJjOnDVT4BZPwJOHQMc7YAxAxhXEjaUZTYacMf82XDPOYjTb6yF6aPnkdTd2L+CVyjJZDSjcsk5KH/mIG7ueEn79Xg2SKMXBXScUT6PVb9ebTXKhPClb6pur/Jz6qhvM4UK3oHHaFxbAwNK3qoO1OHe2ZMSJrTDIAyNFta9NWHDRB6JFP4jFRwdwcNE3gb5GcMgJhEREREREREREREREcWStq+rjYFrrrmGYSIiIqII9DolWN2lqJWy4z0UIgIASQY+CBIoKtQBGXH/1bvPaAgTAcBLnRfF9fj7PzoBm6P/mrDMLEJBVgomCvVRa5eT4lgyVStlBw0t1Mk5mN+zAquci9AgZ/ks09qa4jFe6MD3bpoV0bbe7UKeRiEtAgWnvNmRgnLnwxF9JnvCEFo8ufsEjjbZ4T5VDfNzczDz5O8DhokAIEdoxx36f4TcXyQhtzL9LojobwBqsvXgr/s/1rSPmHM5gK3LgXd+7x/08LQGrJ+ltAuE4GmDKshK0RS8igeXLKKs91FNAbWCrBRULpna127glmQcbbLjUE2rcp15bjSiDsg+HyiYrvypouHJQ5eSgbHX/xeSfvgxcM8B4M7XlT8f+BC48qG+CdaFY1Ox5fuX4e7Uf6o/afRfj+ljDHB53Rg1vV5tNcCBdZqO68PREdFmnsBjNK4tT0ApkEabA9UtnYPaP9GIIbmB5k+Auv3Kn5I7JodxSzKqDtZq2qbqQF3/fZcS2/514cNEHoP9jEF/EHNKURZKckwMExEREREREREREREREVFUJM6sRiIiItIkSS8MagIzEUVZrRuwB5n8d3HitBPFQoeUgmY5I97D8LPT/RU4IwyvRMOLH9oxf81e1J7uAiQ3zLbj+PPXgVmmwJO9IxGveYS1UjbKnQ+HDC3YkYK17gWY0bMGV/c8joU9P8MG1zzoBSnoNuH88O+1cKXmatomULuQlkBua1K+qraXOjkH83tXYH/B3YCg7bobGM4JZ9e/m7Fw9TY0/LZU/UTWECIJuQUKLti8glsJ4bUfq28NcNhCrhZp0GWo/c51A2rkvIDLBt4vcs1GLJ83GVsrZqJwbCpsDiee2HEMl/9qJ65ZvQeL1r2Na1bvweW/2okndhzzCUgGEzSM1DeI/lCSe9x5ONrS7beuufM/SOtt0XTeeUIr/vtyA5L0/ScZURvcIWvkwYIwTVfBdCA1qs11eQjezOdpbqJRYohCM8OKowPY/Riw+kLgqenAs9cqf66+UHk8wmBgMCdaOtFk69G0DcN/w4TkBg5btW0zmM8YIiIiIiIiIiIiIiIiohjRx3sAREREFBnn2UmXngnM9+lewnf1r8ZtcjnRqPd+kEm6OgBfHLmBIpcs4ibn/6JOzsFi8TX8v6SN8R4SAKBRzsCjhioYBhFeGQxPiCW19RR2rHsQluQ3IHY2IhfAf8VlRNHzgusq/NJ1u+oGFAkijssTIELCk7o1gzr2ie5krO2ZiQf0m1RvE6hdyBPIrTSsDNkI0pZ8DhbYfqj6XNMzx+Kied8Bnnla9fiA/nBOtZyPiUI9zOhCJ8YAANJwBjak4oSc73MeFt02TECTpuMEYz7bkKJV+oDtTsj5aJQzo9bANTgC0KWxmebKh0KuZu78D6Ax6DKUaqVsrHffEHS5JAN/+M6lyEhJQvoYA4rHp/W1G9Se7kL5MwdR19rtt12TrQerdxzF5iMnUblkKgrH+gfHbA4nrHtrUHWw1mfyfI45GWVTC2GZWQTz2QakcOt+t+h0RNG0qwqS8P/eOtP3c0RtcPZ64NQxJfSk1bjJgCnPvw0rhGZhbN/7Plrvm8cMv8dtzv9CnZzjtyx9zMj9fYS8ODqU5pTDVt/r0ZQHXGoBpi+LOAA3rLVWKwHSQEFTT2vde1VA+ctAVnFUDmmLMMTH8N8wcOqopvs9gMF9xhARERERERERERERERHFCANFREREw1Tdqf5JvJmCHdfqDjFMRBQvThn4OMjEv/P0gHHkvjn1ggQ93JAg4k35ywASI1B0QsrHDN3HcTt+lWsOJggtSmDF2QxEaV5op2xEmuCIzs4i9Iz7OtUBG2+DnTDvCWk96yrFAnFPyCCQR62UHbRdyBPIXazbhjL9LuQJrX3LelJyUemcjd90zNV0rl+ekIHTp1siCkN8V/cqrtK9F/Q5apQzUeWaC6u7FF0wDqrNRGlD0gEATOjGjeJbEe2nY8CZShBR5ZqL5Qb1ga/YCdIYF8whK3DFg0qDjuRWJgo7OpRJ9+MmK49HubkimtS0hgFARkoSphRl+TxmcziDhom81bV2o/yZg9haMRMmY38wRUsYCUDYdQ9nnMIfQ44kMKUhqz9QFGlQDo72yLYTdUpYY/cK1ZskTb0TEz5Ig7ktwrEGkC+2otKwEtf3rvC5HnLNRhSPT4vacShBxSE0Myw4OoI/L948rXVL3wSM5kEf1hxhiI/hv2Eg0t8JIv2MISIiIiIiIiIiIiIiIooRMfwqRERElIgcTjcAZSJwuIYFIoqxT11Ab5BlF4/8CYGZ6AQAVJ9tJ4m3Wmk8zhc/i+Pxs/EX95VRvTd3y0lY3PsgjOgJv3IMeUI9WoiQUCKcxNeETwZ1bE/TkKddqFbKDrm+moCFHSlY616AGT1rcHXP4yiXf47aW3fhWvlJ/MJ+g+bg1NYPGrDkT8c0beNxm353yMBVrtCG5YZN2JL0CGaK7w8qnDVBUFp2CoQmbEl6BHcYtmveh0sW0Sxn+D1udZeGfW0Skr0e+PxdYPdjwOoLgaemA89eq/y5+kLlcSF6/4TiMo6Nyn4a5Cysci7C9b0rAjbSDBRokrp1b03YMJFHXWs3rPtq+n7WEkb69h8O4Nt/OBB23b3tWWgRskKu48eUj6Sc83weskUU7QNgzIhsO0BpfsksUrduZhEyZldgS8VM3HLZFyM/ZgCFYjMsum0+j5VNK+hrpKIRSmtoxmEbilElhv3rwj8vHp7WuiiYOD4NOeZkTdsw/DdMRNryNZjPGCIiIiIiIiIiIiIiIqIYYKCIiIhomHI4JQCARbeNYSKieHs/SP3MGAGYNPJLQZ9KWo0K3UtIgQOv6K+N61ja5VSYhG6MFexxOb4nxHKr7p9RvTenCL1YbVgHvaCxdSXKPKEeNUzoRoXuJbyVfB+2Jz+EFUnWiI87sGnI0y60yrkInUm+4RW1AQtP0OlS4VNMFOpRi3PwP99fgr/Wm1HTFnlw60SMg3WFYjMe1z89qH2koXvQgWS9IOEO3T/8Hlcb+IIxA0gdsI4pX2kJyiiIaEyD9ufblfYOe4Pv455Wj01LohYqeirvl3Bc8RPlnLWaejfci7fhNsNvMKNnDda6F6gKvwWapO52ufD2/jdxqfApSoSTZ9urQqs6UAe3pNyL1IaRREgY034MOe3/CnkcERImCvXY6bw47D59TLFgYk66z8T9iN6LpnxgXIm2bbwZ05Xml3ChoswiZT2jGWajAbfPnwfZlBf5cQMo0+/qe54LslJgmRFmTDT8xSk0k/AkN3BY4+8gh6zKdoOkEwWUTS3UtA3Df8PEuMmA1vv2YD9jiIiIiIiIiIiIiIiIiGJg5M9uJCIiGqF6JQkiJJTpd8Z7KESjW6cEHHcFXvYlPaAb+RMCxwt2LDdswkLdHnx25Tp8tusNnIumIR+HWxaQIXTF/DgvuK7CVbr3kSe09j3WIGehyjUHVncpumGMyb05cwjOLZSBoZ5QCoSmqDU01UrjAzYNedqFnutZhElCPYSeDnQgFdVyfl/oyRNOMKMLNqTihJyPVDhg0W1DmX6nT8uP3TAeqR9+F3/dfwEG81dlCSKqXHOx3LAp4n2Ekyu2D2r7TqREJZBcpt+FJ903+4XMPIGvxbptKE96A9ny6f6FpnxgigWYtgxISgVOHQMc7UrAaFwJIOqAr94etmXDJYvQC/2hFLcsQDfYwN3AINFAHXWD2/9ZDXIWfvNJGjY1TUel5V4U9nwK/Ol2wN4YfuPMImDOf0FnNOOyaeOwf8dR1cf1maTu6AD2r4P8zjN40dUEnM3hNMqZqHLNhdVdCnuQkFKjzYHqlk4Uj09D1cHakMc0oTvg+23gcYKtp4oxA/hKWd/E/dVnn5OI3otTLMo1OBhZxcDSPcCB9UoowV7fv8z7+jea+x8XdRAutSjBtSjJE1pRLNSjN3MyKpdMhck48hsTR7VIQzNXPDj4az7RnToa/v4+kL1e+XzKPn/Qh7fMLMLmIydVhS8Z/htGRB2g9b4djc8YIiIiIiIiIiIiIiIioihjoIiIiGiYsnU7MVGo1z7pkoii6yMnEGwO+8Wja/JuodgM097v49s9P4DV8PigQw9aDTpMoNIz7uvwqOu7KBbqkY4uvxBLiXByxN2bPc1LgVpQBoZ2muWMqIWJ9rm/iKXO5SHbV2w9Eo4gF0Bu32PBwgktcjoMsgsZon84y+RsAf65EhukbJQLD4dsNwrH6i7FQt2emDYIDiZA87k8LiqhN09g4bg8wW+ZJ/D15Jmb8fPLk3D7V9J9Q0MegSZrnw1knNq5Bs6DzwYM7z3nvgbZQjvS0YUMoRPPJK0a9PkMFU/TV11rN8qth7G1YiZMltfChqi8W23ckoxZk8eh6mAtmmzhG7V8Jqm3Vvcda+A/CuUKbX0B0XJn//tg4Pu8o8uBE0DIY4cKFnof58fOu/CY4feRv18c7cCG64Hyl/0m7mt6L2YWKUGfaDCmA1c+pIQ1AoXmApm+DHivSn3DjAp3XpKBG26YyTDRaBDn0ExCc3REuF17VA5vNhpQuWQqyp85GDJUVJCVwvDfcKPlvh3NzxgiIiIiIiIiIiIiIiKiKGKgiIiIaJgyGfUwd8W3rYKIALzvDPx4lgicM/q+gTqrtx5Xi0ewzPkA/pr8s3gPJ+oa5Yy+8FCgEAUAmDFy7s3ezUsDQz3BQjudshFpgmPQx66VssOGiQIJFWIYL3QAYUrDCsVmVBpW4vreFZqP7WFHCsqdD0ctWBXIYAJ0E4RTUQu9ZcKOEuGkTwuUd2ORBBG//VCPb82f1t+Oo4YxHTUX3otb3/xK0PCeTU4DAFyKT6NyLkNhYNNXXWs3rPtqUDG3RFWrjQ1jYN1xTHWQCBgwSd3RET64hP73wTd7f4pbdXv83ueuzavQVFIGEy4M2GRkQreq679QbEZl0koYvNqmItJWA1TeAvPSN30m7qt+L3qFtaJK1KkPaxjTlTGoeH3UKrvyywDDCaNDnEMzCc2YHuF2GVEbQuHYVGypmIkN+2pQdaAOjbb+35NyzUaUTSuAZUYRw0TDjdr7dqw+Y4iIiIiIiIiIiIiIiIiigIEiIiKiYeqrhVn41+nUeA8jYbllQKdh3jJRRE65gfogk6AvNgDC6LwIy/S78LueG9EoZ464ph4jnJggtIRsr7Fh+N6ba6Xx+KnrTnTLRr/whrdQoZ1ohYmCNSKFojbEEE6h2Iw7da/hNWla0KBMOHVyDub3rsBi3TaU6Xf5tOzY5THQwY0UoXdQ44z0PZaK4A0JWv0u6QmME2w+Y6pyzYXVXdoXNGm0OVDd0omSHJOmfZvHGEKG9zyGy3su2HVddaAO986eBJ13q03Lv4HGDwAIQM6FQPYFqG1zoPyZvSEbLrwFnKS+f53qsEqh2IxtyQ8jQ/APSeq7mnDOv1ZjS1K2T5ORh0W3TfX7cNBhIo+2GuDAOhRe+ZDPxP06W/97sdywC9nofy96h7USYqL32XaugMEyQQRkDc+VKV9pRKLRIQFCMwlr3GTAlKetwSkG7x+z0YCKuSW4d/YkVLd0ouOME+ljDCgen6YtcEuJJdR9O9E+Y4iIiIiIiIiIiIiIiIgCYKCIiIhomHr461/ElMOfjcgJ+9Gw3X0JSvVH4j0MGumCtRMBwEWj9xvG84RWFAmNqHLNxXLDpngPJ6oyhK6w7TUn5PxheW+2Oq/BKvetYUM80QrtBNIim1Hpmodn3V+PqB1IS4ghnB/oX8JyYXPfz4GCMuHYkYK17gV40n0zioV6TMZn+GnSRuR7hYsG4zfOW/A9/RbN59wVYfNSIN5hIgDIFdqw3LAJC3V7fIImHWdC3C+DmDg+DTnm5LBNPIN6z2kNaUQgVNMXMCBw5ehQQj+HrT6T36W0XOzomY02+1xAxeuXY05G1V3TUDw+rf9Bya3sV4NAYSJvgRq9REgo0+/UdJyoOWQFrngwyMT9UowdOwZoPa60shgzlMCAmGBtgt7BslPH+sf60cvAP3+lfj9TLIl3bhQ7CRKaSUiiDrjUAuxeoX6bGL5/dKKgOWBLCS7YfTsRP2OIiIiIiIiIiIiIiIiIBlD/9cpERESUUKpbOiFBRJVrbryHkpCu1jFMRDEmy8EDRefqgKzR/at2OrpgdZeiVsqO91CirlBshkW3LeAyERImCvXY7f7yEI9q8LZIl6kK8UQztDPQeMGGMv0u3KnbBpPGFp1ohxh0guzzsycosyXpERQITX3HLBFO4lLhU5QIJyEicDBFgogmOQs/NvwpamEiAPhV0rMwCr3Y7z4f3TAGXsmQhp6Ly30e+kwej0Y5M2rjCMQTNEk7+zqmj9EestSJAsqmFoZdL7Lfh862QcQwTNQoZ+LGnp9jRs8arHUvCPn+6jjjBFqrgXVXKJPeB4QCxM5GLHG+4HP9hdJk68Fi6zuwO7w+p04d1RY2UGngPXGiUB+/QKW9XpnMDQCSG7pT/0ZJz0eYktKEkvEp0On1QPb5QMF05c9Enugt6nzHetk9QGaRum0zi5RGDBo9PKEZLUZT6Gz6Mr5/KPYG3rdHy/uLiIiIiIiIiIiIiIiIhrXRPcuRiIhoGPvtG0cBANulS+CU+ZE+kF6I9whoxKtzAx1y4GUXj952Io8OpMKOFJQ7Hw4bKnINw3tYmX6XT3jEhG5U6F7CW8n3YXvyQ7hNv1v1vtqllIR4DjqQGnadoWgeCRTcUWOoQgyFYjOeN/wSP9T9qe/13pz8P9ie/BDeSr4PFbqXAoahYhXEyhHaMV33b6TAEXgFZyfEE76v2VAFkj1Bk1yz0bcpJxDJDTR/AtTtV/6U3AAAy8wiFGSFD7pZ3aX4XMhRNzBBByDI/VuFZjk97H2tVsrGrb3/D+/LkyCp+KeXsa5m4OnZQHttyPUGBrVCqWvthnVfTf8Djo6w20TK+55oRuhWo5iznQR2PwasvhB4ajrw7LXKn6svVB6P4fMQU8Z0oPzl8KGIzCJlPaN5KEZFiYShmeD4/iEiIiIiIiIiIiIiIiIiCij+s9aIiIgoIkebO2FCN9YZfgODELtv1yeiIIK1E4kAvqgf0qEkmgY5C9VyPgCgTs7B/N4VWOVchAY5y2+9Vc5FmNnzRMDlbjlxk4F5QiuKhXoAQIHQhC1Jj2C5YZPmQEutlI3N0izoo3gft8lBmmpC8H7NQhnK5hEtwQlgaEMMBeIpfN/wN7/nIlgYaiiCWKEYuur9HhuqBrEy/S58e+o50IlB3s+OjpDhDzO6UblkathQUWbWOHWTxY0ZgOyO6Fw8Kl3z+u5rztRcn2WyKR/rdbfh+t4VqJPVBZwuNbWjaNO1gKNd1fqhWtIGqjpQB7d0NjxlTFe1TSS874k2FeHEmPr7fQFbnmBvUB5fP0tpgxqOsoqBpXuA2Y8CpgH3bFO+8vjSN5X1VHBLMo422XGophVHm+z91woNTwzNhBbl9w8RERERERERERERERER0Ugwumc6EhERDWN6UYxZ2wERheGSgY+CBIom64GU0Z3br3LN8WnksCMFa90L8KT7ZhQL9UhHF+wYAwFAGs7AJJzBk+6bfZZ3IBU1ci5KxQP4bdKT8TuZENLRBRO6UWlYqfle3CBnoco1B8+5r8E/kn8ctTHVStlY5rwfLxh+iQxRfcBm4GsWzFA3j3iCE2vdC8KuG/cQgxdPGOr63hXohhHXi28PWRBLLU+DmJbrt0U2Y7xg03ScPKEVd57vCrywtRqovAVoqwkwwLPhj/eqUFj+MrZUzMSGfTWoOlCHRlt/G1Ou2YiyaQWwzCiCyWhQJosfWA8csgJ2ryCVKR+49A7g0LOaxj9QrZQNq7sUnWfva1cu/BWmpJ1WwkDGDAjjSuDYVY3OHUdV7c+Ebjyr+yUElWEijzL9Ljzpvjns+7bR5kB1SydKckzAuMmAKc8/aBMlS7+WhVX/NuKELR+NcmZ8rnlBB9j8A3Q+2mqU627pm8MzUGFMB658CLjiQeDUsb5rD+NKAFGnahc2hxPWvTWoOliLJltP3+M55mSUTS2EZWYRzEa2LQ5LntBMsPvgFIvSTDQcr/1oiML7h4iIiIiIiIiIiIiIiIhoJGGgiIiIaJi6rDgdZR/Er+2AaFQ76gJ6giy7aHRPwHXKIv7svjLgMgkimuQsXKc7iDL9Tp/J5o1yJqpcc2F1l+I4JvQ9/qp0GVrk5zFe6Ij52LXqQKrmYOcLrqvwjPs6VMv5kCCiRDgZlUn3noCSJ+jwLeej+HvST1U12HkCEmrEI7SjNjhxQo5jiCGAQrEZ6w2/xmTxpOYQzlDxNIgt1m1DmX4X8oTWvmUNchZecM3GbunLMMCNDqQiE534S/LPNR/n9KlmfOJqhXmMARPHpyltRY6O4GEib2fDH+alb6JibgnunT0J1S2d6DjjRPoYA4o9+/PwTBafcT9wfIcSnjHlAZOuBlpPALtXah6/R62UjXLnw+hEf1tSeqoRyD7fZz3LzCJsPnISda3h27XuN+1EuuNzzWPxNAIdlyeEXbfjzNkArKgDLrUoQa0Y+MbMi7Dg5vNQ3dIJ99uLgX+tjslxQlLbPtVWAxxYp1wrw5Wo87v21Kg93YXyZw4GvD6bbD1YveMoNh85icolU1E4NnGCmqQBQzPhRfj+ISIiIiIiIiIiIiIiIiIaaRgoIiIiGqYuSWlJmEnTRKPO+0HaiYxQGopGMYMg4VbdPwM2yhQITUHbUHKFNiw3bMJC3R6UOx9GnZwDQAkhVbrmYblhU8zHrkWDnIUaORdlem3Bzqt07+NR13f7wjGDbfxplDJwt3M5PpSLfQI3n8hFuLH3F3gh6ZfIEIIfI1BAIpR4hHbUBickiKhyzU2oa2WG7uPB7aD0V8C2n0RnMEEEahDrQGpf6M1biXAyomPc+adjOC6fAdDfgLIUf4ExXJjIwyv8oRMFpW0nGEcHsH8dcNjq28TjCRVF4JRswnOua/sCex65ZiOKx6f5rW82GlC5ZGrQ0IZHUWYy7hDfAIJ8pISTrvL+kT7GK+g6fRnwXlX4IJdWpnxgXEn/61P6AFD7srrjiHpACtJipYWgUx8oApT2liseHFUBC5vDGfa6BIC61m6UP3MQWytmKs1fNDwxNENERERERERERERERERERGGE/opnIiIiSlg9Xe3xHgLR6NQtAceCTHz+ogHQC4GXjSJl+l0Q4duMY0J30DCRt0KxGZWGlUhD/2Rnq7sUn0njYzLWSFW55uALQqPmYE2e0IpJXqGMwTT+1ErZuNX5M7wvTwrY3vOJXIQrep7Ar50L0SKn+yxrkLOwyrkI1/euQJ2cAxESSoSTuFT4FCXCSb/Xz8MT2hlqaoMTVncpaqXsGI9miJjygdyLh+xwEkQclyfgsHwejssTAl5TzoyJcKXmatpvg5yFajm/7+cmWw+e2PFv2Pf9XtsAD1kBKUxYpLUaWD9LaeDxDhMBys/vVmo75lllvT/FWvcCv+Bd2bQC33YkL4VjU7GlYiaWz5uMXLPRZ1mu2Yjl8yZja1kO9F2NEY0JUFrSwvELPRnTgfKXgcyiiI8b0BSLbzBH7XEyi4DbXwq/nhgmrGs+R1uYCADs9Up7SziSG2j+BKjbr/wZ7jpMYNa9NaqaswAlVGTdVxPbAREREREREREREREREREREVFcje6vTyciIhrG6jr5MU4UFx+5ECRrAVzMb/EHAjfKWHTbwoaJPArFZlh02/pajjIFO0REZwK3lJYLsTPyCfwAUCeNg9VdivOEzyLa/oWkX/a1nTgzJsIhZ8PoUPfcAIBbFvCEawGedX89bLOQHSlY416I37pvCdg+Y0I3KnQvoUy/0ycc1Shnoso1F1Z3KewDjvEX9yzcp38JBiHYG6GfLANCFDJ2aoITgHK+5c6HVYXXEt4F84GOyK6xwUgfY0CSTkBLZ2/fY7lmI8qmFcAyowj6/XcqgR2Vqlxz/MJJE4V6jJdbtQ3ME/4I1rbh6AAqb4l6806DnIXj8jl+jxdkpcAyoyjktmajARVzS3Dv7EmobulExxkn0scYUDw+TQki1e0f1Li8g1oAIELCRKEeZnTBhlSckPMDh54yCoEFvweOVAKfvgZ0t/QvSzIBvXZNY5EyiiBOW+a/IKsYWLoHOLBeCYTZ6/uXmfKVENK0ZYDRHH69L5cpzUrBlp9zKfC8fzNeWI72EMtCtF1dalHanozpwbdPMG5JRtXBWk3bVB2ow72zJwEATrR0wnbGCfMYAyZ6rmEiIiIiIiIiIiIiIiIiIiIa1jgTmYiIaJg6aBuLRjlTczsGEQ3S+87Aj2cIQIEu8LJRyLtRRoSEMv1OTduX6XfhSffNSIUDlYaVOEfUGD4I4i8Tf4VvZh3zn5SuwT+kr6EbRkyOMFA0VrBjuWETvpn0JvCNl9H5STmM76xSvf0TrgVY416o6Zie9hlvBUJT0OBNrtCG5YZNWKjbg3Lnw6iTc/qWfUO3R1WYCIhOmChQcCKUOjkH83tXYLFuG8r0u5An9F87LkMa9M7OwQ8q1gQdcPDpIT9s+hgDtv3gCmSbjYEDMIASonivSlVwp1bKhtVd6ve4WWXjlJ9Q4Y/966IeJgICB6IKslJQuWQqTEZ1IVKdKKAkx+S/YBBhFO9xmdANi26bXzCwRciCWb4LcNyrHCtYQCZ1PDC5FPhKObDpDk2BIpcs4jtnfoSVXToUGgOsYEwHrnwIuOJBJRDmaAeMGcC4Ev9Go3DrhVre/InqMfuOLyPw463VwQNq9gYlVPdeldLClFUc2bGH2ImWTjTZejRt02hz4H/+/hFe/7jRZ9scczLKphbCMrMIZpXvAyIiIiIiIiIiIiIiIiIiIko8YvhViIiIKNG4JRnvN3SjyjU33kMhGl1aJeBkkKaciwzRSU+MEC6vv2pMFOo1hx89LUdamo3CaZCz8MTHqXBf8SPggQ+Bew4Ai19VJtNr8E3dbrydfC9WJj07qPGcIzfhnFfKkHm5BSeRE34DKAGNZ91f13QcERJKhJO4VPgUJcJJiJBgQreqFp9CsRmVhpVIQ3ffvrSGwwaryjUHIiRcLR5CmbgdV4uHoIcr5DZ2pGCtewFm9KzB1T2P457klWgu342bdL9DraTt9Y4LOTqNXFp1nHHiL4dP9gVgphRloSTH5NtEYkxXQhSZRSH3VStlo9z5cMAWLZvKxik/wcIfklsJyUTZSeT4BKJyzUYsnzcZWytmonBshOfgbdxkpe1Go1ZDHv4oKfeBAqEJW5IewXLDJr/77Hi5Fcl7HwOeugw48QawfpYShPEOEwFAVwvwbiWw2eK/LAy9IKHZ1oXyZw7C7ggSuAWU0E/2+UDBdOVPMVQAVx7wp4r9RPJcmvKVQNJAatuu2mqU9Rw2bceNE9uZEK9PCH/cX+sXRGqy9WD1jqOYv2Yvak9HGBAkIiIiIiIiIiIiIiIiIiKiuGNDERER0TD0SYMycdHqLsVC3Z6oTbYnojDe7w2+7GJ+Q7+3NYYn+5ptIm0jyURnVMMrVa45qO9xorqlU2kLyT5fabXoatG0H5NwBiacic6g2mqge/8F7Lh0PWa/c3fI+3mogEbAcQZpLWmUM1Et5an+7CgUm2HRbcNa94KIwmGDcVIai5nih7hfvxk6oT9cIMkC3pO+gO87K/A5soNu72lmOt4BtO3swUftOpQLj+Dvhp8iQ+Qk+ECqDtTh3tmTfENEA2UVA0v3AAfW+7V9NchZqHLNgdVdGvRaPSHna29ZDBb+AIBTRzUHYcLKLELet1/Gy+7xgZuaokHUAZdalJCPWsYMZN39KnYbJ+B3246g/P0HcC7CvJdtnwOVN4fft+1z9ePwko4uHG7thnVfDSrmBnmNwgnWnmTKU56j6ctCNzpF8lxOsQQONmlpu2qrAQ6sU9qTEpx5TPR/T6lr7Ub5MwextWKm6sYuIiIiIiIiIiIiIiIiIiIiShxsKCIiIhqGdnysTLS0IwXlzodRKwWfTE1EUSLLwPtBvt0/XwTGhWpbGH28m20ibSMxC11RC6/UStl9TSMd3i0Njo6o7H9QDlmxYO5lWJa6Gquci9AgZ/ksbpCzsMq5CNf3rkCdrK7JKFRrSa7Qhst1H2saYpl+F0RIEYfDItEoZyBXaMM03b99wkQAIAoyvqqrxt7k+/G4fh1MZxuUQjnwn9MAgDo5B1/vXYl2Wdt12SyMxVrnTfhsODQcDeCW1YdgGm0OVLd0hl/RmK6EKDxtX3e+jg9v/gdm9KzBWveCkME3CaL2lsVg4Q8g8vfxV7+jBJW8mfKB2Y8CS9+Eblxx8KamaJm+LGzbUx9jBvC9t4CsYmSmJOGRrH/iXDRFf0wadZy9x1cdqINbCtAqFE5rdfD2JHuD8vj6Wcp6oUxfBimjSN0xM4uAacv8H4+k7eqQVdkuwU0cn4Ycc3LU91t3NkxGREREREREREREREREREREww8DRURERMPQnqOn+v67Ts7Bkt4HNU0WJqIInHQDbUEmSl+cNLRjGSY8zTaeNhItGuQs2GR1TTzhDGz2SUv2KmoN1XgxVOz1MHfWYN13Z+Nv6bdjRs8aXN3zOBb2/AxX9zyuKqDhzYRuVBpWRrW9Lk9oRbFQH3E4TIsGOQtPO6/DWNigF6SQ6woCcKt+D7Yl/QgFQuhghXfOoQHjcGPvL8IGcuvlLNzTcx8W6VZj+pknsMr9TXzb+UhCBXkb5Cysdd6El3RfhywEDtwMDGSF4xO6C0fUKW1fBdORlPdFSCr/mcHqLlX/PAYLf3hE+j6+7F6fQBTuOaD8fOVDgNEc2T61MqYD5S+HDxVlFgF3vwGkn6P8HEnwJQYa5CxUy0ooS3UYzZujA6i8JXwjUFuNsp7DFnSV2i49yhw/DntdOc2FynMe6DWOpO3KXg+cOqZtmzjQiQLKphbGZN8Rh8mIiIiIiIiIiIiIiIiIiIgorhgoIiIiGoYcvb7fgv5zw3OaJwsTkUbB2okEAF/SB15GWKx/HSXCSbzgmqNpu82uKzBf3D+oYwdr9vnOswfwxI5jsDmcwLjJgClvUMeJCkc7CsemYkvFTNw/73x0mibhsHwejssTVAc0PCy6bVENE3mkowsn5HyckmMTtGiUMnBjz88xo2cNviTWwBAmTOTtHLENLyT9Amkqmoo8TsrjUeG8Fy+4rkKL7BtI8Vw71/Q8jlfly3CoK6fvdaiTczC/dwVWORehSWNQLpp+0HtPX+DsafcNuNR5GIKsriUlBY6Qy9PHGCIak5YGFNUti5lFfuEPtyTjaJMdh2pacbTJDndWieb3sWzKx1F3Lg7VdeCofA7cE6YpwahgLUixlFUMLN2jNCMFaUxy370HR53j+8+5+VPtwZcYqHLN8blHaQqjAcD+deHDRB5tNcCBdQEX2RxOlD9zEPvb0/ven8Ha3m5wroQ95dzAx4i07crRHtl2Q8wyswgFWdEJ63qLKExGREREREREREREREREREREcceZj0RERMNQdkYyPm5SJu3p4cI08eM4j4hohHPLwEeuwMsm6YFU5vSDGSvY8XryT9AkZ6BdTkWG0BV2m8/lsbhRtw8F4qmw6w7klgVscs9ClXsOPpAnBgzjNNt7sXrHUWw7/CleuPhdZIRovBgyxgwAgNloQMXcEpRfVoh5q/6JU129mnYjQkKZfmcMBgh0IBUSROxwX4Lb9Lujuu9GKQO3On+GOjnn7OfaJ5r3cY5wGkt1r2CV+5sh1zOhGxbdNpTpdyJXaOt7vEU2Y6f7ErzgnoMP5OKQQa4uGLFNmooJ7hZ8U/9PzWONhpPyeByXJwDQHiK7RbcXqzAv4LJcsxHF49PC7sMtyTjR0gnbGSfMYwyYOD6trwFl9Y6jqsbhCWct1m1DmX4X8oTWvmWu1Dzop96pNBOdDRPZHE5Y99ag6mAtmmw9fevmmJPxm9wbcZl9varjAsDT3bOw8ol9Pvsom1oIy8wimI2RBaoCCfY8+TGmK81IVzyotN042gFjBmxpRbC+9RmqVr/jc87z0v6D30dtlJGplbJhdZf6PKYpjBZJy9Ihq/IcDQh+WffWoK5VCRTakYK17gV40n0zioV6pKMLHUhFtZyvvK/bAOu+GlTMLfHff6RtV2fv4RGR3EozkqNDOf64yTELtpmNBlQumYryZw72PV/RojlMRkSJbQjvTUREREREREREREREREQUPwwUERERDUOzS3Kx+9PTAICrxH9BF2BeKhFF0TEXcCZIC9jF0Zt4PpLlCO0AAKcshmyeaZIzoJddOEeMrCVCJ8j4pv6fmC5+gnLnwz7NRN4KhCas61qJjAPRb/LRzJQPjPOd2P7Ht2o1h4kAYKJQ7xOSiZYGOQvVstKc8oJ7dtQDRXc7l/e9VsrnWmSte4v1/8Bq9zcChoFEAZiAJlQaVgYM34wXbLhNvxuXiR8HvHZESLhIOIFv6d7A1bojGCfEN4jWgdS+cWkNkV2nO4DVmBvweSqbVhA48HJWqFBP2dRCLJpyDjYfOak6rBAs/OEaMxGvTLsSprPhntrTXUFDEE22Htxt+xq2jfkrzpGbwh6zVsrGWsfVfvtYveMoNh85icolU1E4NlXV+IMJ9zx95/JCtNh7/INGok5pSvKc82/fDnjONV0GQF0ZVERkcz4EW33Q5bVSNsqdD6MT/W03asNofU4d1d6yZK9XAldnnyNACW1VHaz1W1WC2Be6G6jqQB3unT3J/1r3tNZpGVeAe7gqjg6loemw1fd4pjzgUgswfVnkAacQPG14G/bVoOpAHRpt/Y1luWYjrrkwB3982//5DCfSZrO4YFCCKLg43ZuIiIiIiIiIiIiIiIiIKD4YKCIiIhqG6jv6J5bm4HQcR0I0SnwQ5Fv3kwCcx1+ptTAIEtqlFOgFCWmCw295jtAORCEkWSg2o9KwEtf3rvCZ8A4oDTWVhhUoFFsGf6BomGLxmcgcbHK8GiXCZ9EalY8q15y+8MkH8kS0yGaMj1KgpkHOxIdycd/P2Yg8EGUSzmCS8DmOyuf6Lbuq0Iif1QcOE3kbeO14Go3K9f+I2jkPlifgZUI3fqj7k+YQ2XihA7PFd9Eup8GGVJw429xSkJUCy4yioNuFC/V4Ajm/WnARfvLSB5oaUPzCH209fS0yNoczbKOKHSn4luMneMH4q5ChokBBGG91rd0of+YgtlbM7AszaaXmeVqz8xjccn9wbmBDUrhzPiHno1HOjEmAEKZ8CMvC1dbGAAEAAElEQVT24e0XH0NR7Z99mqMa5CxUuebA6i71ew7DhdH8OCILjqLhX2cbnJQgyImWbp/QlhqNNgeqWzpRkmPyXSDqlAnzu1eo39mAe7gqrdVA5S1AW43/MnuDcvz3qoDyl4GsYv91BsnThnfv7EmobulExxkn0scY+gJhr3/UqOk51RwmixcGJYhCi/O9iYiIiIiIiIiIiIiIiIiGnv/XERMREVHCW//mf/r+O9IWByJSySEDn7oCL/uiATCwIkyrDLE7YJgo2grFZlh023weM6Eb6w2/TpwwUWYRMG2Zz0MnWjo1T44HlHP7qX5jlAbWr1bKhtVd2vezBBGVrmuitv80nMH3dX+FCUpwohmZg9rfBYJ/GEsvCvj/JuwLGyby8Fw7BUITtiQ9guWGTQkTJgKUgNcEoQVbkh7BHYbtEe3jmaRV2Jz8P9ie/BDeSr4P/2V6Bc/ffn7QEI2aUA+gBHJ+8tIHePHuaVg+bzJyzcaIxgcoLTJuSYZ1b42qcFKdnIPSM7/E24XLlNYYL/akbKxyLsL1vSuCNpd5n4N1X01EY1b7PHmHiYD+oNH8NXtRe7or7DlLEFHlmhvRGMOaYgFSsnBh2S/wrZTf4+qex7Gw52e4uudxzOhZg7XuBX5honBhtIAiDW68vBR49lrgqenA6guR+vaqvvuHFh1ngoSFpy9T7s1qBLiHh+XoCD5h31tbjbKeI3b3Hp0ooCTHhClFWSjJMUEnCtCJAsqmFmraj+YwWTy0VgPrZymBiIENVJ6gxPpZynpEo1EC3ZuIiIiIiIiIiIiIiIiIaOgwUERERDTM/VsqiPcQiEa2j5yAO8iyiyNrr6ChU6bfBRESAJwNhzyMy3Ufx3lUClnQAZNLAfgGC2zBJrmHYdFtQ77YGn5FDYK1uVjdpaiVsqNyDJPgwHLDJmxJegQFQhN2S1+BW47uxHRJciP5/T9q2ubb+h2oNIRvNBpqtVI2/uK+MqpjyxXasMT5Agr+Uhp0Mr3aUA+gBHI2Hf4cFXNLsO8nc7D9gVlYfeuXNY+r0ebAsSZ7wMYuERJKhJO4VPgUJcLJvve5HSl4oOEauH/wAXDPAeDO1+H+3n5cI/82YBAmGE+YSSstz1Mgnoak5w/UhD9WFN+HfbwCMmajAc999zL0Zk7GYfk8HJcn9DWVeSvISkHlkqnaG53GTVaaYQbD3oBz/rW67/6hRfqYIOM1pivtG+FCRZlFynpGs6bjYv+68BP2PdpqgAPrtO0/Ciwzi1CQpe69ElGYbKgxKEEU3jC4NxERERERERERERERERFR9DFQRERENMz84PldPj+3QeMkRiLS5oMg4Q6zABTphnYspFme0IpioR55OIW/G3465M1EdskItxz4r12C7AYOrEPPkzPxwfvv4miTHW5JhjnYJPcQREgo0++MaIz73F9Ek5wRcJlR6MXN4j6/9g87UlDufDiqYYZCsRmVhpUwohcHpAsi3s8lwjG/8U4U6pHWq+21zxXaEzJMVO58GLfq/hmbsQWZTO+W5IChnlA8gRxPA8q5KsMJA33SYPNp7DKhGxW6l/BW8n3YnvyQT8tShe4lmNCNRpsD1afPANnnAwXTcQIT0GAP0jQXRKPNgeqWTk3bRPI8BVLX2o0We2/Y9aL+PgwQkCkcm4otFTMDtk3lmo1YPm8ytlbMROHYVO3HE3XApZZBDvrsOM/eP9JUNhXlmo0oHp8WfIWsYmDpHmD2o35tVzDlK48vfVNZTwvJDRy2atvmkFXZbgiZjQZULpkaNlQUcZhsqDEoQRTaMLk3EREREREREREREREREVH06eM9gHj4+OOP8e677+KDDz7AyZMn8fnnn8Nms+HMmTPo6emBLCvfQiwIAk6cOBHn0RIREfn624dnfH4+IeejRU7HeKEjTiMiGsHaJaA2yES5iwyAoK5FpV1ORYbQFcWBkRaT8RlWJD8bldegUcpArtgedr0GORObXLNws+4tmITQQZZkex3Mm27F9b0rkGrOxG1fK0C2KRnN9p6Q23mbKNQjV2hTvb73OE/I+ZiGTwIuzxHasdywCQt1e1DufBh1ck7fsjo5B/N7V2CxbhvK9LuQJ/S3IzXIWdjsugIygMX6f8AknAmwd3+FYjOW6V7BR1IRLhM/VvsW83GHYTuu0r3nM14zhvf7r0HOQpVrDqzuUnTDGHF4TBXPZPorH+p76P2T7T6hHjU8gZySHBMARBSUA4Azvf334AKhKWgzU67Q5nOtdng1fUXa+tWhcbsTLZ2an6fB8rwPl+pewb1JW5SgYjiCDvBez5QPTLEozUQB2nbMRgMq5pbg3tmTUN3SiY4zTqSPMaB4fBp04iDbxKYvA96rUh/2CKFQbIZFtw1r3QvCrls2rSD82I3pyvvgigeBU8cARztgzADGlShhqEicOgrYG7RtY69Xjp99fmTHjJAnTLZhXw2qDtSh0eboW5ZrNqJsWgEsM4oSP0wUaVDiigcjf52JhpthdG8iIiIiIiIiIiIiIiIiougaFYEiSZKwZcsW/OlPf8KOHTtw6tQpv3U8ISJvgsbZa+3t7WhtbQ24LCsrCxkZGZr2R0REpIYEEZWueVhu2BTvoRCNPO+HmEx+sfoJtH9zX4479NujMCCKxE+TNkYt0LXUuRyzxPcDBGgysc39Nex0X4JGZKFazsf3dX/FuSobkfomwtsW4Imdx5CuMXwRaWDGABe+o9+hanyVhpW4vncFOtHfWGFHCta6F+BJ980oFuqRji50IBXVcj4kiBAh4Rv6f8IEdYEiAPie/hXoBCmi8wk2XhsiaE+JMrcsQCf4/70zmFOyGd/r/QHaYOp7PgGgRDgZUXhME6/J9LWnu7Ds+cMR7cY7kDNxfBpyzMmaAzdr3jgOQGkmChYm8uZ57V260r7HIg0zaX0fRhpcGiw7UvB/7m9i/jeXo+jVbwG2+uArZxYB396khCw0BmQ8bVNRZUxXWpEqb4lKqKhMvwtPum/ue78EUpCVAsuMIvU7FXXRmzDviPALABzt0Tm+RtEOk7klGSdaOmE744R5jAEToxFKC4dBCaLwhtm9iYiIiIiIiIiIiIiIiIiiZ0QHirq6urB27VqsWbMGTU1NAAIHhzy8A0Sh1gvm/fffx+zZswMuu/baa/Hqq69q3icREZEaVncpFur2hJ1kS0QayDLwQZDJ4bkikK3uW+trpWyscn0DC3RvwiQ4wm9AUWWXxyBfCBz616pBzsIHcjHec08KGqDxECFpbpHxngjfccYJvSjAJan7e0mkgZlxgl31uqHaPySIOC5P8HtcaU5q1zSmwYaJPLzHe0LOR6OcGfsgThC1UjZOyWZcqjuueptPpQl4R77A7/EhaVs6O5neZp6I8mcORty64x3I0YkCyqYWYvWOo5r20djhgE4ALOI21b/nFIrNkE5UAuf+GEBkYaZcsxHF49M0jTXS4FI05JqNOHfyl4Gi/cCB9UoozO4VLErLA754AzC5FJBcwLjJidO+klUMLN0TeNwa5QmtKBbqcVyeABESJgr1MKMLNqTihJyPCVlpqFwyNX6tOsb0CLfLiOowtBpsmMzmcMK6twZVB2vRYjvT97oYUjNw+bTLsfiKiTDH6jVhUIIovGF6byIiIiIiIiIiIiIiIiKiwRuxgaLnn38eDz74IE6dOuUTDtLaOqTFrFmzcPnll2Pfvn1+y7Zv346Ghgbk5eXF7PhERDR62ZGCcufD2GhYoboNg4jCaJCAU0GCDSrbiWqlbJQ7H4YNaXjOdS2+b/hbFAdI6mj/ooBgqlxz+kJDwQI0HkqQRlt4xXsiPAC4JBkC1J3BUAVm1LR/eBuS8EsI3uOtcs0d8ja/BjkLVa45eM59DbYnP6Rp24liA0RIfs/1kLUtOdphfb8Gda3dmjcVIWFa2ikUn/kQaM7oC69YZhZh85GTmvcpy9oDeuLhDcCsHwKiLqIwU9m0As3NKZG2MEVD33iN6cCVDykNU6eOAbbPgU9fA/69BTj4tPI/ADDlAZdagOnLIp9IHk0Dx+1oB9pqgZfv1ryr718yBs3//jtudL3uc0/sTBoPwyV3Ijn1kigOXKNxk5XnXktjjilfaZEapmpPd6H8mYNoaz0Fi24bypJ39r8uLqBxbyb+crAU8yw/Q0F+DP7NjEEJovBG4b2JiIiIiIiIiIiIiIiIiBTqZoENI3a7HTfffDPuuOMOtLS0QJZlCILQ9z9AaR8K9b/BWL58OQD4HVOSJGzcuHFwJ0dERATAEGJuqxzFifNEo957QdqJBABfCh0oapCzsMq5CNf3rkCdnAMAWO++AZ9LWVEeJIVSL2VFrRWqVsqG1V2qev1IgzTpA7ZTe1f3BGZizRN6UmvIwi9BeI/X6i5FrZStartaaTya5IyIj/uC6ypc3fM4ZvSswVr3AuQI7cjR2NSUK7QFfK494bFYcyeno+pgraZtTOhGhe4lvJV8H15w3Q/dhlLgqenA6guB3Y/BjG5ULpmKczPHaNpvJAE9T8uSh2VmEQqyUlRtWpCVAsuMIm3HQ38LUzToNGSZAo5X1AH6JGDrcuCd3/tPErc3ALtXAOtnAa3Vgx5v1Ig6IPt8oGA6kHdxRLu4+bOVuNv9ot81k9bbguS9j8X3nEWdEuTSYoolcdqkNLI5nCh/5iDQ9h9sSXoEyw2b/F6XXKENS5wvQPf7K9HZoK3BrI/kBpo/Aer2K39K7v5lnqCEFgxK0GgzXO5Nod7rRERERERERERERERERBSRERUoqqmpwde+9jW88sorPkEiAH6BIe/ATzRbi2666Sace+65fo/LsowNGzZE7ThERDR6GQLM2TGhG5WGlSgQTw39gIhGIrcMfBgkUFSsA0yBf41uk1PxSK8FFb33Yps0Fd0w9i2zIwXfcv4X6qRxsRgxDVAvZeEXrm9HZV+epqlOqAsjAJEHaToGEcDREpgZjIGhp1BOyPk4JZtjOJrwPOP1tPmFe46U1/sRbHRdHdHxaqVs/NJ1O47LE/rahaIVMAOGKDxmyscJKU9T006B0BQ0MOAdXikUmvDEt76qaTgRN1052vv3YTSgcsnUsKGigqwUVC6ZCpNRXRPdQFqCS6G4VaYJJ2SOCTxeRwdQeQvQVhN6B201ynoOWyTD1MQtyTjaZMehmlYcbbLDLYU5yUiCIIIOsIUJPQ7hOQc0fRmQWaRu3cwiYNqyWI4mpqx7a9DWegqVhpUoFJtDrnuO3AT3czdre10cHcDux5TQ4lPTgWev9QkxwtExfIISRPGWyPcmNe91IvLHEB4REREREREREREREakwYgJF//nPf3DVVVfh6NGjfWEiAEFDRN7LBttK5E0URZSXl/ft03ssn3zyCY4fPx61YxER0eiUY072e8yi2xZ2kh4RaVDtArqD/I54cfBJ5plCF1YkWfGX5P/F9uSH8FbyfajQvQQTugEAdXIOvtX7U9hkbe0co51b1vYFAHZ5DEp7f4Vjsn/QX4tGOdOvaUqtSFpkGuQsVMv5AZeJkFAinMSlwqcoEU5ChOS3jtrATKOUoWlcA2kJPUkQscN9yaCON1je462TczC/dwVWORehQfZtDDslm7DBOQ839P4CdXJORAGtYOGzaAfMYh4em2KBrcf/GgvGE2wO+7tIhEGOiJuujBk+PxaOTcWWiplYPm8ycs1Gn2W5ZiOWz5uMrRUzUTg28mCf2uBSOGre8wBw01fyA493/7rwYSKPthrgwLqIxxqOzeHEEzuO4fJf7cQ1q/fg/2fvzuOjqu/9j7/OTCYZksxkAbKJSRoMuFTbigIKYgEXqrghrTU2aqQK1cpVbG217e/W1iLtrVKlWqzVqNF0EbSLtlQBKYIsIq1LXVBiEjEBAiGZyTLJZOb8/jhMmElmOedksn+ej8d9UGbmzPnOdmbwft7nvXD1Ni5YuZmzV2zgwfUf4fJECPCaCYKoOgdl+/kxR2VPg9IXYg/uZxRqt7MPbijTLJ9fpXJnjaF/p6R5PsO//Tf6dtBYpbVNbVoeu4FrKAclhBgqhuqxychnXQihkRCeEEIIIYQQQgghhBBCCCEMGBGBIrfbzUUXXURtbW13YChckCg4QJSdnc20adO46KKLmDp1avft4uEb3/hGxOvWr18fl30IIYQYvU7OSwv5uwU/JQkbBmk1QoxQb0cYbrYBJ+pvrchRjrDMtoYXE+/mFKWKe6zlvJJ0J06lPT7rHAVq/Fk82XWhoW1+23UxLlJNhXpAC9xc2vETzu5YxSrfAkPNRKlJCWQ7kky1yFR2zelutAlw0MZS6/O8nnQrryTdydqke8KG1QKiBWbq1Uzu9y5ksfd2Q+sK5lMVbHTFDDkE+71vtun99VW4kJabZFb5FjCvYwVPdp3PYdUBwDjFzfW2V3g56XsstT4PoCugBXBQTYsaPjPzXuxKyaUrfWLY6wLhsX0YC7rpcnSY3jlG/7HOULD5SDX5Hz1taEmmPsuOPBhX3OvM7M5EC0vnFrP1+3N45fZZrFlyFq/cPout35/D0rnFppuJgkULLllj/HeHNMXYZ37tm5/1bvppa4TXHzK26F3l/XLW+prDrcx/aAsr1+/p1Xh1wNXByvV7mP/QFmoOR2ihMhIEUQw2yvTTY46mu6XJlc7HV/wd/5fv1t6rwRx5MPsHsPg1yCwa0PXF096GFhpc7Yb/neJ744nYr4vRBi6UoRmU6A/SRiH6IrMIFm/WjkFD4dg0BNv2hBjyJIQnhBBCCCGEEEIIIYQQQgiDEgZ7AfFwww038OGHH4Y0DwUEgkQAZ555JjfeeCNf/vKXOeGEE7pv8/jjj7Nz5864refEE09k8uTJ7Nmzp1dIaf369SxZImc6FUIIYV7h+FTg2NDuRKWOHOXI4C0I2OPL5QRLPZb4ZHOFGFwdKnzQFf66k2yQaPyNXmA5yIuJPyRO+fUBo6oM6prd6hgu6bwXFQvnWXfrCizU+LMo980D6A71LLOt0b1PX1Iatyn38XZTWuwbh9HS0cWaJWdhtSg8symdmv9uNrzugHzlQMTWl0BY7UrrZkq9d4WEWAKBmYd9l1Ok1JFGK82kUKXm4ceCBT/71QxT3x1WReUfSXd3/32/mkFl11zKffNwRwhevaNOpEF1Ml4Z+CHPcCEtMPbczu9czvXWdZQkbCRXaey+XYOaxnrfl/i9bw7vqkUh+0lJtJKSlMBBtxag8GPhrwkXcpPvD7rXnjD1Bv467Vye3FpN5Y5a9rs8x9botLNw2jmknn4pbzx0GWeq7+q+32hcpOK+pJLj7E4mJqpkO5N6hUB6MhNsHvtBJbmOqdS7IxxrezDz/PHFq2HzL+HN8tBhSkcuTCnDOn0JxdnmPud6OO02ls4t5pbZJ1DV0EJzu5e0MTbGO5J4eltN2Nf0qhO8LHj3bkOf+f0uD1UNLRRna8E4GqvgyYuhs8XYgt11cOgjyDox6s18fpW9DS242r04x9iYOD4Va4QfgC6Pl9LHd1Lb2Bb2+oDaxjZKH9/JS0tn9g50BRozYg2UO48D12dR99OLzsccDy6Pl/It1VTurAn5TGU7p3DNmZdxw0ldpPpbtFatccVaO9Mw52r3mvp3iq11f+zXxUwD17l3akGJHY9qYTJ33bHbOPLgjDKtmUhPmMjvg0N7tLCDPQ3GTRr818zTrD0vEY55TF+irVWIWOxp2uflnDu0z6KnafCOTWY/62LoGYrHzZHIaAhv8WvDO0QrhBBCCCGEEEIIIYQQQoi4GPaBor/85S+sXbu2V5go+O+nnXYaDzzwAHPmzBmwdX3lK18JCTkFgk2bNm0asDUIIYQYmaobQs/g7iTCGd0HULGlftgFJYSI6H0vRJpxP818c8Vw/IwE1jxYwSKH0k6W0sTH6gRKvXdFDIAE1PizKPXeFdIoVO6bx5VWfaEe7OlYv/U6v03K4smt1Ty5tZrGtk7D627p6OKMwkzuuGwqN31yDz9v+1/D63bQFvPxghZWq7Ddx8Wdy7u3t+BnolKHk1ZcpPBvtTgk7GImaBVJtGBT8P4qui6Iy/6MCBfSAnPPbbSAVjitnT5unFXExafmdgdJihwz8K7ehs1VE3PtXmcBtmlLIoZSisan0trZxZOv7eUq/2cQh89nkz+FCzvvI2nNQV5aOgmH3UbJ1AJWrt8TdTszgQHFXcfNp8OPXte/zZFTb4Ca7foGi53HwTvPQVNt7+sCZ2Z/q1ILqvRzy4LVohwL+xwV9jV1+PD+5hzsJj7zze1HW/UCQ6Suuij3EIWnKeJVkQMxSZRMLaBsZiHOHmGg8i3VMcNEAbWNbZRvrWbp3OLeVwYaM6IFQY6bAs8s0LWvEFEec7zUHG6NGKw64OrggQ17WfPvZCoWTaVgbEq/r2egOMfYzP87Jdrr4vdpoRkjdpVr4Yi+BiWGaminsSryAPkAH/PECGKxDkjgMqK+fNYlqDJ0DNXj5kglITwhhBBCCCGEEEIIIYQQQpgQfvppmPD7/XznO9/p/ntwmEhVVVRVZdGiRWzfvn1Aw0QAs2fP7rUugCNHjvD+++8P6FqEEEKMLDU9hhFdDP7g4XAMSggR0dve8JenKvC50TmcNpif8bSjw8i1ajbzO5fzQNdC3IlZoTdy5HHozO9wcefyXoEWN8mUeu+ixt9jm54yCuGmVyHtuO4Qx7M3TjO35jHaUH1KYgI3XjaXaxP+j/u9C6lXM0NuV69mcr93Ydh1l1nX6QtBoQUMyqzrcNDGUuvzvJ50K68k3cnapHt4JelOXk+6laXW53Fw7Puj3DePuh7r6YtAyCGV0O8oC36KlX382z+ROn/89hdLuJBWgJnnFrRg1MfqBN5UJ/OxOiFimCjgDzs/pWh8KmcUZlKc7aDVksJNHf9Dkz/693aNP4vSzu/jZox2gd+H9dAHFHf8lzOSD1A8Ppl9R9qY/9AW/rbxX2THoaWwxj+eS733coCx7Gts4S8vb4Da7Sya7KEwIynqtmYDAwtOTmFCxhjdt//bh60cuOz3NNmPi37D9HxACR8mChY4M7tn4Juz4FjQKPD+sO58FLs7xpqPCn5fwrFjjqEh0nDs6WEvrjncyvyHtrBy/Z5ejVUHXB2sXL+H+Q9toebwsfeCz69SuTN2eC5Y5Y5afH41/JWBIMjt78LNO+CGf2p/3v6udrkzz9C+jt1vurntdDLa0uT2RPgNMgxNHJ+KLSXd3MbRXpdDe0KH0vUItFEFBIIS+dO1P/WEDxqr4NFZWjin5/4DoZ1HZ2m3G0hG2ygG6ZgnhGHx+KyLwTVUj5sjldkQnt/XP+sRQgghhBBCCCGEEEIIIcSwMawbiv7whz+wd+/e7gARHAsTKYrC7bffzi9/+ctBWdv06dMjXvf+++9z0kknDeBqhBBCjCRNLaGDnHvVPParGYbbAYQQYbj88EmEgZrP28Ai6bmB1hwUmnSTzENdC/i163JmpB/h/y4+npzsXBhXTAYWUt7aQEuPYXc4Fka63rqOkoSN5CqN3depjjyUM8pg2hKwO0O2m5TtINuZ1GuAPpocp51xjiR+se4DntpWTWuHD7CxCv0NNxb8lCRs0L1PgNKEV1gYoYkpXIuQm2RKOn/A+sTvkqD4De0rkkDIYZVvAQ7aKLOuoyRhQ8j3U5dqibq/z/yZKIpKns7vtJ73V69mUtk1h3LfvLBhIjPPbUnCRh72XR4zQNTTfpeHqoaW7naa51/Zwo/bV5BuiRzAaVJTWOK9jfeb0nj2X++yJOnlXmd096fmsL5jNkfcc5mk9K2lMPj5UoCl1ue112z3EdgNqcD6lByecszmV+65uMM8p2aDzSnOcZx/ko/y16t7XdezZWuvmse+I+1c8NQ+/O33hP0s16uZvJR4IQsnjiX9zV/rW8RQOTO7iQHQwPsyy5lM0fhUXG0eLK8/RqrZNTjytJaWHowGYl5aOhOH3cbehhZDx07o/ZkJK1JjxrhJWtuBkeFzxQqW/v3PYoGWpnDv6Z7HlKgtTQPM51fZ29CCq92Lc4yNieNTsRr8DWS1KJw97Wz2bzH475QI78VunmZD6zi2XZO57QL7NBLaWfxar98U/UbaKMRINRifdRE/Q/m4OVL1JYQ3mG1kQgghhBBCCCGEEEIIIYQYdMM6UPT444+H/D04THTZZZcNWpgIYPz48eTl5VFfX4/S45TuH3zwwSCtSgghxEjQ2hF65nI/Fiq75rLMtmaQViTECPJOlGaAL9gGbh0CALc6hgY1vdflfiy81jSWr/0DXlo6EYfFihUomVrAyvV7wt8XyazyhYZ65n5pEjcv/ErEZgKrRYl6n+FcdGoOFz34GvXNnrDr/lidAMC4lESu/UIu6949wH5X6G0nKnWGQ6JZSjPEmPUOtAhd3LmcFpKpVnNZ3XUJ37b9xdC+oilJ2Mjf/GfxlO3nYcNNgfBPtCCQAvyPdQ3XJ7wcNXxU48/iOu/3SMAXM6QVYOa5zVUa+aL9ILs9OYa2A/hwv5vibAe+tibOe3MxE2I0I6Urray2/YrF3tuZv+124ECv21ha9rOI33Ne4gZ+1HW94TUBrPQuoLYzEZeaTBMOxinNkV+zVm1/C9M3U9Z1N7tbMkKuNxVsduThyzyBv7+7KfTiCEG0/WoGlV1zKW+fF/az3EwKDWo613f9E8ebDxt6LthVDufcoa+hpL+YGADNVRopUuq4dNoc9h1p40ePreHpzgbzazijLOxzEAjE6BEciHG1m2vaaTa5HRYrTCnT2g70Un3w7JX9M8Ts9+E7+CF7t/2dexK2c6F1V/j3tG9eSFCvckctt8w+wXB4J15cHi/lW6qp3FkTEgjLdiZRMrWAspmFOO36fw9df85Ents5j0Xe3+tfRIT3Yjd7mv77Ctku3dx2MHRDO2bbKAb7mCdGNr9P+17zNGuf13GTzL3fBuOzLuJnqB43RzIJ4QkhhBBCCCGEEEIIIYQQwiRjp1geQg4cOMC//vWv7rBOcGgnJSWF1atXD9bSuk2ePLm7OSmYBIqEEEL0RVfvrxbKffOo8WcN/GKEGElUFd6OMMg83gLZw/anc7/zqf0z+OxQ2vlr4g/JV3qHKuDY8HpA2cxCJmSMiXqfgVDPm+pkKj9Jxt0ZvZ2nbGYh+Zm9W1nCmZAxhnXv7g8bJurpUGsn698/yLrbzmHd/5xDZvKxAW0nfWudiSbQIhTwqO+SuH5/5CqNVCb+LGwwJViC4qdOzeQbHd/nvI5fMKPjIVb5FtBCMm6Sudd3LVM6VlPedQGH1dC2kq6UXH5nu5qLO5dTreZ2v55Vah4TlTqmKB9SrOzDQu/X1uxze1Fx9PdVJD/7+/u4PV6OvPoQE8KEg8IpsBzkD7Z7Y96+wHKQnyaUcyBM6C6W0oRXeDzxfp5L+imvJN3J+sTvxnzN0jyfsdbxf9w4dRwW/BQr+5iifMhEpY7fd80xtoAzyth7uD0ksJCvHODFxLtZZlvTK5wUaNl6MfHu7uNB8Ge5Ext/Tfwht9vWYiXMD6VoAmdmH0wmB0AnOX0snDKB0sd30tp82Pz+Mwq1lrYefH6Vyp01hu6qckctPr+Kc4y5EG6aye0AmL5EeyxGBIaY48XTDJt+DitPwbr6LB7y/ZTrEl7R9Z6GYy1Ng6HmcCvzH9rCyvV7erVLHXB1sHL9HuY/tIWaw/qPo067jfPL/pfPlGx9G0R4L4YItFEZEav1KBqzoR1/hMbLeOpLG4UQ8RZ0/OOR6fDEhdqfK0/RLu80eGwb6M+6iJ+hfNwcySSEJ4QQQgghhBBCCCGEEEIIk4btVOSrr76K368NiAVCO4F2ottuu42srMEfqv7c5z4X9vKqqqoBXokQQoiRxB9mTtZNMqXeuyRUJERfHPDDwQjhktNsoAxOW8BwYFVUFnXe3iv4EQ+BVp1UwjdkBIbXfX6V/c0eTjtO/yDVviPtIYGkcJx2GxWLpsYMFeVnJnP+SdnU6QgTBe//6W01nJjr5Lqzj/3bwUWK7vswoyRhY3fYpj++P/KURt23+5LlYz5WJ4RtFWomlXu6rufMjt9wXscvuLLjf3nm9D+RcMd/+dodq7jp/C+S47TjoI2l1ud5PelWXkm6k7VJ9/BK0p28nnQrS63P4wh675h9br92zqlkO5MMb1ff7OHJLXtx/vcZQ9ulW/QN7BdYGvjYn2d4XeMUd8jfozVBBVOOVHNn00/YMWZpyHNdkrCBJlXnc3s0MBDcYOOgjQrbfTFDTeGOB3q3jWqwz8xucgD0hwvP4rld+6htbDN/3HAeB6UvhG3o2dvQ0itYEksgEDNxfKrhz0yO007R+FRD24Swp8E1a0Ax2IQRryHmxip4dJbWkqQz5BHuPW26pakPXB4vpY/vjNlGVdvYRunjO3F79K8xPy8X500v0mw/LvoNMwojvhdDBNqojIjVehTNUA7tSBuFGCqiHf/c9drlf7rW2H0O9GddxM9QPm6OZBLCE0IIIYQQQgghhBBCCCGEScM2ULR169aI133zm98cwJVElpOT0+syVVVpamoa+MUIIYQYMey28F/ftWo2l3bey1Nd54cNHQkhYojUTgRwah8aE0aJJtXJn30z+uW+e7bqBNvv8nDP3/7L2Ss2cMHKzfz93f2G7jsQSIq6/7EpvLh0JsvOn0SO0x5yXY7TzrLzJ/HXb8/gpXfqDO07eP/BTUh71Tz2qxmG70uvXKWRSyyvd7f41KrZzO9czv3ehdSrmf2233CCw02RBDfR/PrdBHxYcNptLJ1bzNabPsebWT+N2mrzz6Q7KVS0oUYzz21XSi7OCSdTMrXA2IM76vXt20hs09dOZMZES92ABopttVsYr4aGxrKVJtKVVrxq9P/E0Oks4J3ZT7KnWSElKaH78jLrOt2BoJ7HAyPbRjTYZ2Y3MQDqd+SS/blTuxuETB03Eh3wra2QWRT2apfJYEtzuxerRTH8mSmZlo/VouDzq+w54GZXdSN7DrhjHqND+LtANRgOiscQs6cZKq7QGo8M6vme7m5p8vvg4PtQu137sx+bG8q3VMcMEwX0bAfUw5E7ibTbtuH/8t14U3r8tzJHHsz+ASx+LeJ7sRcjbVR6Wo+iGcqhHWmjEEOB3uOfy/jv5AH9rIv4GcrHzZFMQnhCCCGEEEIIIYQQQgghhDApIfZNhqYPPvig+38rQWeLnzx5Mvn5+YOxpF7Gjh0b8ndFUVBVFbfbHWELIYQQIrakBCsQOlDooI0y6zpKEjb0GqgWQujgV+GdCIPThVZIG7Y5/AHThYXzLbv67f5LEjbysO/ysE02T2+rMX2/gTaN4uwI7Up+Hxzag9PTzNJT07jl3HOpOtxOc7uXtDE2isanYrUo7Dng5qC7s0/7r1g0tbshorJrLstsa0w/rlgeTHxE27+aQWXXXMp981jlW8DDvsspUupIoxU3Y3g68ef9+r2SqzRSpNTxsTqh13UW/ExU6nDSiosULTAR/Hp5mrE+ewVWV/TXP09pZH3id1nddQmP+i4x/NwmTL0BLFbKZhby2GtVtHR0GXqMna1HwHi5kW45ShOlnd/jXlt534M1fWRT/DSTjDUxmdTOQ92XuxOzqPTNYdXB82iprAPqyHIkkpJkpb3DS0nCBkP7CRwPtP9tbNtehsKZ2QMDoJuW69/kjBvYc7i9u0HIj8X4cWPGUhgTOYTkHGMuTBsIxJTNLGTt7n26gir5mcksnHIcD67/iMqdNSHNSNnOJEqmFlA2sxCnPcaaBmuIeftqU2GigMB7OsuZTJHDB5t+Dm+WhzY8OHK198n0JeaDJD35ffgOfsi72zdSrNjYq+aF/Z7tqXJHLbfMPgGrxUB7oz0Ny5e/h2XWd7QAl6dJC7aMK9Y+A4EAladZe3zjJkUecranaW1GsUIMeluPYqzb3Hbp5vepVyCMaKQJZCgc88TI0sfjX1QD+VkX8TOUj5sj3fQl8Falvs+khPCEEEIIIYQQQgghhBBCCHHUsA0UffLJJyFBIlVVURSFc845ZxBXFcput4e9XAJFQggh+iJtjI0617Gh9XzlABW2+wZ9iFiIYe0TH7REaEA4TdqJYqlXM/my5W3yLYdi39ikaMGTvmoO18LhadYGJHsMdFsduRR3D3QfCyGZbfII3n+gCenJrdW8sO1Sruzc3O/H9kCLz5XWzZR676JWzQ55jvs72ASQRmvI3yOFZAPhp5bmUyDbYWiANUHx823bX7jEuo0l3tu40q/zuQ0atEtJTMBqIlvoIsX4Rga1YWd+53JW2x5ghvW9ft9fNGm0Qc4X4Pw/sr/JzXdf+pStTRm9QgqBAF6xUmc4tJarNHKqspc2xvQ98DZUzsxuYgDUtT/0uFPum8eVVp3vbUcOFM3WQhwRHv/E8alkO5NCwj2x5DjtFI1PBcBpt4UEJSPJz0xmxYJT+fpvd4S93QFXByvX72Ht7n1ULJpKwdgon6nBGGL2+7Tvij4IfMeVnjYJ62Pnhn8fuOu10NlbldrgvN42n3CCvuOs7noeA0gKDZm6SY64ecwwbjQWK2SdGHYthgJUmUWweDPseBR2lWtNU93b5mmf7WlL+h4wGMqhHRNhxCFzzBMjQxyOfzEN1Gd9iPH5VfY2tOBq9+IcY2Pi0ZMYDAtD+bg50kkITwghhBBCCCGEEEIIIYQQJgzbU603NjaGvTw7O3uAVxKZ1Rr+/0Hf0tIywCsRQggxkiRYjoUeHLRJmEiIeHg7QhgkAThZAkWx/L5rNlcnbOz3/fQMnsTtfnu2cDRWwaOztAHdnoNwgYHuR2dptzvKbJNHz/077TaWzi1m/d2Xsv/SSvYR/d83Nf7xNKh9b6oosBykwnYfqYQO85f75lHjz9J1H3X+TFP7bg4K3OQrB3gx8W6W2db0CooEwk+nvHip1m5hYoC1wHKQctsvWO69OubjOpJ0HO6vPdc9aLe3oYXmdmPtRAB71Ty6Uvr336nNpNCKnYkWA4Ob/al2G/4/lXLbS/W81qQ19xYr+5iifEixsg8L/u6bOk1+rh9N/BXFyqd9W+dQOjN7YAA0ozD67YIGQHsed9wkU+q9S99n1r0fHj8PVp6iteGEafaxWhRKphbofwxAybT8kIHnQFBy2fmTyHGGnnQlx2ln2fmT+MNN0/j+8+/EbDKqbWyj9PGduD09vrMDzTa127X/7cg1tOY+DzEf2mNsaDqCLzhaKP34ttihsiPV2qCwx2VuR1G+4wLH2RcT7yZfORD1bsKGceO4lkjftyHsaXDunXD7u3DzDrjhn9qft7+rXR6PQelAaMeIgQztTF8S+7gRMJSOeWJkiNPxL6aB+KwPES6PlwfXf8TZKzZwwcrNLFy9jQtWbubsFRt4cP1HuHp+Bw5FQ/24OdIFQnizf6D9xgnmyNMuX/xa34LJQgghhBBCCCGEEEIIIYQYUYZtoKitLfygyVAKFDU39x7IgchBIyGEEEIPd+exQFGZdZ2EiYToq04V3o8wmDU5AZKGyZmgB0mNP4t/+U/re0uIDs390PQS3KYBaEP1sc7oDL0GuieOTyXLkdj3/R9ltShMO+NMnLdtY0PuN6lXQ8M69Wom93sXcnHnfVR0nW94v+EUWA5SZl0XcpnegEKNP4sS7w/Yr2YY2me9mkmVqg266Q3JJrpq4OlLTQ+w5liaeDTpQexKJ1t9J3Ogx5oDz+05zfdwccVn1BzWAi9mW6jSU+xYzrjB1LZ6BJ7DiSaafvqTxV3H/7XdzfKEx3gj6Vu8knQna5Pu4ZWkO3k96VaWWp/HQZvpBqcc5Qg/THjW/AKNnpk9OLRy8H3t7/FmcAA00CAUrFbNZn7ncu73Lux13AgrRmijbGYh+ZmRm2qC5WcmUzajsNflgaDk1u/P4ZXbZ7FmyVm8cvsstn5/DkvnFvPcrs9ihokCahvbKN9arf3F06yFoVaeAo9MhycuhNUzoMNgK3Rfh5jDhLHM+N/JtViaqvXd+Eg17FhtfCc6v+MihUyD9Qrj9tNadAWoAq1H+dO1P+M9lD6UQzs6w4iqtFGI/hCn459u/f1ZH2Q1h1uZ/9AWVq7f06sdMNDWN/+hLd2/TYe0oXzcHA1GUQhPCCGEEEIIIYQQQgghhBB9N2wDRaqqhr3c7/eHvXwwRGpRSk7WN4wjhBBChJNo1b6+LfgpSdgwyKsRYgT4oAsi5QROG1rtRK7PfWWwlxCixp9FqfcuEuj/3+DBwZNYLPgjtqH01LNNw7/tN7GHmwOCBrqtFoVrphXq2y7K/ntypo/lyzf+kgWJqzmv4xdc2fG/nNfxC2Z0PMQq3wJaSDbUIhRzPQkbez1f0QIKB8jkYa7i4s7lVKu5VHbNNbS/yq45+I/+s9RQSNZVZ2g/4WQrTcywvodHTaC083thn9vgRhSzLVSXnJaL5axv6R6qNBqwCTyHZpt++tPxliOUJLzKWCU04BHcguLFajiIFpBnacSt2mPfMJhigS/fpf/M7OFCK49Mj9rs0ycGBkAjNQi5SWaVbwEzOh7iso579D2/EUIbTruNikVTY4aK8jOTqVg0FYc98ufEalEoznZwRmEmxdkOrBYFn1+lcmdN7PUFqdxRi+9QlGabTgOt0PEYYrb3vSXOn5qL85N1sW8YbFe58WDb9tW6v+PChUwDIoVh+2stpgNU8WKiQWxABYUR/T0augIh2bktP+XB3b7h0W4iho84HP+ExuXxUvr4TvNtfUPNUD9ujhYjPIQnhBBCCCGEEEIIIYQQQoj4GLaBopSU8ENWkUI8gyHSWhwOxwCvRAghxEiSl64Nzg61JgIhhq23O8NfnqzAxISBXUssZ36TZjX+LT2x9Mzy+1SFrb6TuarzR9Sq2aYbRowIDp70FAgQnaO8xT3Wcl5P+nbENpRgKYlWzikeh8+v4vJ4eeiVDzj0r0eNLSxooLtsZiE5PdpCopmQMSZsm0dPVovC16cV8bE6gTfVyXysTgh5LvS2COmRqzRSpPQO6wQHFK62PcjWWc9Sc9VGxv3wI+bfupLMzHEAhsJNNf4syn3zgMENyRZYGrg3oZwP1eN7PbdwrBElXBtMLFZF4fbzJ+FLdPLJV57B48iPevvPlGyu6viBqedwID6H8VZgOchTtp+zpmtWH+7FYIvcud+DL39f3+BqY5TQSoxmn5hiNR7pHACN1iDkx8K5lnf0/16MENooGJvCi0tnsuz8SeQ4QwNcOU47y86fxEtLZ1Iw1vh7cG9DS68WhlhaXY34nr5cfxglkngNMY+bBD1CHEZZTr4EWvYb28hdB4c+0n97vw/eLDe0i3AhU4gdhu2PtZgKUPWBz6+y54CbXdWN7Dngxpf+OUMNYgPOnkbN529hTtevwwaQq9zW4dVuIoaHOBz/hKZ8S7W5tr6hzGDzotCn1/eTP/yJ94QQQgghhBBCCCGEEEIIIfQaYhOS+jkcDpqbe58J+PDhw4OwmvA++OCDkL+rqoqiKBx//PGDtCIhhBAjQWeXNkg3FJsIhBh2WvxQFWE49fM2sPZhWDbOfMnjcf/pWxynDNxn36dqT4HS42mwKiozrO/xR+WnlHrvYq+ax341o99CjsGhiRynnQtOyebpbTU4aKPMuo6ShA1R9x1oQ7nSuplS713UqtkAtHb6uOKR1xmbmkiXTyXL8wlLkwyeoCAw0J11IgBKzycrAqtF4belU6K2eQQrm1nI2t37Ig4aBlqErreuoyRhI7mK+RMt/N/8fP586HjWvbufA+5jg/45Tjsl0/Ipm1EYsu6CsQm8uHQmT26tpnJHLaXuu6iw3Re1bSjQbtWCFoQY7JBsoIljlW9B2Osrd9Ryy+wTKJlawMr1e3Tf79VTj+ep12uo3FnDAVcHDv4f11vXUWrbSBZBr5Ejj20Zl3LjnjNoORoQM/oc9vfnsL8UWA6CT3s8uhuqgjiUdurUTPL0vOczCmH6zfru2NOsNfbECq0Emn0Wv6YvmOJp1ppZ3iwPDSk5cmFKGUxfYqjxIdAgFK7VwFRQb1c5nHNHrwCT025j6dxibpl9AlUNLTS3e0kbY6NofGqfgiWuduMNC2XWdSS6DLQaJTmgI6gly5EHZ5RpzUTxaESwWLXXbtNyc9tnFMKkebDzt8a39TTpv+2hPb2DcTEEQqYfqxO6L8vPTNYVho33Wnp+3/YXl8dL+Zbq7uN2QLYziZKpBZTNvB3nOXdoa/E0gT0dxhUPeutDd7vJkQ5gQsTbBdpNXlo6U/dvkP7g86vsbWjB1a41AE7s47FEDJK+Hv8EgOm2vltmnzD0PzeB5sUheNwcbmJ/PxXiHMTjuhBCCCGEEEIIIYQQQgghhq9hGyjKz8/n008/7TWw9+677w7SikJ1dnayc+fOsAOFBQUFg7AiIYQQI8UnDdqw6HBsIhBiyHnHC5FO6Hva0BrGaW1r47gBDBKqauw8VYHlIBW2+7i4czmVXXNZZlsT93V0qRbW+05HAX537RRmn6iFgd599z+s7LjHUAChwHKQvyb+kHkdK9jP2O7LD7doLVUnmA1rHR3oLt9STX2zR9cmPr/K+vcPcnKevuBAtNBAgJtk1qSWcP41v2D9f3bx0Vuv8RPfKl33H+xLxZ/jSzNO5P9dcoru4EDPsEFj8xxSP6og84NKFPexxiN/ai6bHBfzv/tn8WnnsX+OFiR7YeCKJ8IqSdjIw77LwzZh7Xd5qGpoiRnsCpbjTGLTngb2HWnvvizQ9PSw73KKlDomOX38cOFZZH/uVG77xSZa0IYDowXE6tVMKrvmUO6b1x0mAq2NJh6fQz+WkEaSejWTfZY8zlT779/aVya8xtWdP+CVjF9gaztgePt7O6/he7Y/Rj8eGG2j2b5afwNOoNnn3Duj366xKnJIKdB4tPtJuOBnkHWS1vygY9g20CAUCPXtd2nHIVNBvRihDatFoTg7fq3LzjE2LPiZqNThpBUXKexV86I20hkOSdlS4YZ/aqGi/hpinr4E3qo03poUeF92GWtp6mZP139bT++T8uiRFvTbIz8zmYpFU/seRDG5FkMBKhNqDrdG/J494Opg5fo9rN29j4pFUyno52CTUWbaTZbOLe7nVfUmA/EjkNnjn+hmpq0v8Ns0nt/J/SrQvChMMfT9ZKIxUgghhBBCCCGEEEIIIYQQo9uwDRQVFRWxdevW7r8rioKqquzYsYOuri4SEgb3ob3xxht0dHR0rys4WHTKKacM4sqEEEIMd16/ln7Yq+bhVu04FH3D60KIMN6O0Iww1gJ54YeZB4MnwYmzyzUg+zqoppGBG5vij31jjjW7lPvm8VXrvzje0mBqvz5Vwar0TnclKH4W2dZxoe3f5Gat0wItnmaesC4n3USbSbrSyrrE73Op997upqIA00FNe/qAnFk8UmgAjrUHnXdSFkue2U1tYxcWpnFz0jOGAgUtiVmkjjs2YKz2+DOW7rBBtgMm/Qi+cnfI2cgt44qZY7Fyrl8NDSupn4PVupd5jPM4cH1mYsPewjVxBGtu91Kc7YgZ7AKYkD4Gv6qGhImC+bHwsTqBj5vh3ReaePDr7l6DpD3DR2m00kwKVVHCFuW+eVxp3Wyq6QfgMyWbazx3koAvZH8pePhn4p3kWcw3X0WTqzSSk5qA5evPwBPnG95+D8d3B7DCtT8ZbqPx+7QGISMiNPt009t45KqDNWXa/zbQWhSuQSi76T/wZ2MPQ1trk4mNzOynmRPe+w3b7Y+GvGb71Qwqu+ZS7puHOyg0ByZDUi31oFghf3o8Vh2ePU0LBul5jaH3+9Lv015vI609jjwtHGVkjSY0kxKxoc40k2sxFKAyqLvhJ0YoZ6g0/AQbLu0mMhA/Quk9/jnzBmxJw42Ztj7QfpuKkW84fz8JIYQQQgghhBBCCCGEEGJ4GLaBoi996UtUVFQAhAR2PB4Pr7/+OrNmzRrM5fH8889HvG7q1KkDuBIhhBAjzYQ0G4datcGRgRv/EmIEOuiD/RFCM6fZIEzT5GDwpB5Pa4sLu4Ft/CoYmQ9tUJ3c3HkbdqWDVbZVusNEAdckrOdh3+W87JvCIss6Q9sGhAsTBZvAAXj2Clj8GmxfTbrHfIgk3dJKhW05F3feF9LwslfNY7+aYWxYPTUXxhUP2JnFw4UGAu1BrZ1dzH9oS/ewmZnGmmd9c/iax8fTr1fFpz0gwtnIA8Ejn19lb0ML/24bzxdTskloNdBO48iDa/8Kz14Zt7Pip0VpAUsboz1mPcEuj9fHI5v26tpnbWMbf3jj04jXB8JHerhJptR7FxW2+6KHipTQQJLfkcsTni/zK/fckM9E8P2WeH/A+sTvkmDw+KDXlSelYJ0wxXCool7N7A5ZBQJYr16XR0GK13wbzaE9xoIdELPZx1DjUfd9Hm0teqtSG9bOLIq5SUiD0MFcY/sL6MfQRrejbU2WI9Vk9bgqRznCMtsarrRuptR7V0j402m2qW8gQlKZRbB4M+x4VAuYBbWzkZoLJ18Ck+ZpQcie70uLVQuPbVquf39nlBl7b4+bZPjz1Zmcw28WX0VRdlp8gycm1mI4QGXQcGn4CWc4tJvIQPwIF+34FwhQnlIKW3cO3hqHMOcYc+/1NJPbieFlOH8/CSGEEEIIIYQQQgghhBBieBi2gaIZM2ZEvO6RRx4Z1ECRy+Xid7/7XXfIKbidyGazMW3atMFamhBCiBHAhzY4OFGpI1XaiYQwL1I7EWiBokHWpVr4TdclTJ16DdM2fs3QtkZnfiu6zmePOoF/JH6fdEXfsFKwHKWJc5S3uDhhh+FtDTlSDdsfgTef7PNdFVgaKLOuY5VvQfdlZgI4dLph8y9pzbvK1DrMnlk8JDRwVLhhMyONNTX+LFZ5zuPpX20i2f0JE2jFqaSw92hYI57tAS6Pl/It1SGhpaXWc4w992eUwbgT8C18Gp6aj7Wz7y1ezRFaqnKcdorGp2otIof24PQ0s/TUNG4591yqDreHBLsAzl6xwdB+179nIEgVQ62a3d3WU5KwkVwlTKvQDetAbelujnr4Pz7++uoWJiuf4uLYax6sWs3l0a5LuMX2l7itNdhFU08yFaqo7JoTslY/FhrGfI6C/MzQGx597fA0a20K4yZFbxMyI1JoxUzjUbAj1Vrzw+LX9LcswZAMbQC625oKLAepsN3HxZ3Lu4NuKWljwczP34EISYH23jr3Tq2tKqidTVewbfoSLTymJ3iWUai1Gxlh4vOVOG0RxbnpxvbTT2sxHKAyYLg0/EQyHNpNZCB+FIh1/HMNTNvqcDRxfCrZziRDwcDu36ZiRBvu309CCCGEEEIIIYQQQgghhBgeLLFvMjSdfvrpjB07FiAkuKOqKmvXrqW6unrQ1vab3/wGt9sNaO1JgT8VRWH27Nmkpsr/s08IIYR57V1dAORxaJBXIsQwpqrwToQhynwrpA/uz2SXOobLOn/CsynXkZpk7j72+9N13/amhJfYmXQzeeGCBzr9KvERY80+JrVuedR4c0gEJQkbsRDatlLum0eNv2dfRhSdLbBpOae8eCn5ivFQSLzOLB5p2CzQWBPrMdX4s1jivY0brOtY23ETryTdydqke3gl6U5eT7qVpdbncaANAgfaA9wec4PINYdbmf/QFlau3xMyOGnouc8oxPXFb/Kbdf+m/rGvxiVMFGi6Cef6KZlYN/8CVp4Cj0yHJy6ER6ZjffDzFO+6hzO6/k2xsg8rflNNEYdbO0kb0/fzfVjwU6zsY5LyKev8Uzmn41ec1/ELbuv8VugNk5xak07WSfj/+2euen1+1Nc8YLXvEj71j+/zOnvqSsklJe8k7S/Tl2hhCR1q/FmU++b1ujzkc+Vphk0/7/XasfIU7fJw4SF7molHQeTQipnGo56OVMOO1ca2CYQ2jOjH0EY3A21NBZaDlFm15rv8zGR+uugKLSRlhNmQlN8HB9+H2u3an36f/m0D7Wz507U/9Tyn9jStiSrW+z+jULudkXBZgIHPl6nQ0jBdS18afoaCod5uYnYg3ueP3l4phigzx79RzmpRKJlaYGibkmn5EhgZBYb795MQQgghhBBCCCGEEEIIIYaHYRsoslqtXHHFFSGBnQC/38+3vvWtSJv2qw8//JB77703pJUo2Fe/+tUBXpEQQoiRJjDLuMC6eXAXIsRwVuMDV4QhxSHQTuRU2nnE9hDfOs1CinOsqftIVLw0qcm6bpuqeEhSukztJyBDae3T9nqldJkPPfWUqzRSpNSFXKY3gNNToquGyqQVpBL+7PuBoMcU5UOKlX1Y8Mf1zOLRhs0CjTX3exdSr4a2ttSrmdzvXcgS722stv2KZbY1vYJhOcoRltnW8GLi3d2hqUB7gFEuj5fSx3eGbSnQ+9x/pmTz5qwnmP/oW7S/9msmEJ92n55NNwHT05u56f3rtSaNnqEQdz288Rg8s6A7pJKy7f5eQRw9mtvNfwYdtLHU+jyvJ90aEgzakvQ/XGTZSY0aJoDRWAWPzsLyr/vIIvRzFe41B+01usZ7N5+p5o5LkSRMveHYwLHOUEWNP4tS7120YQ/5bOU5jjVFBR5jxNdu03Lt+saq0OsCzT5GRAmttLoOG7uvSHaVGwu1eJqhywOKzmHu/g6QgKm2plLbRu44byIvLZ1JwXhn/ENSPYNDbUeMh9DiJbMIFm+G2T/Q3lPBHHna5Ytf025nxkCElobhWoZDw080gXYTIway3UQG4oWIrWxmIfmZ+v7tlp+ZTNmMwv5dkBgShvv3kxBCCCGEEEIIIYQQQgghhoe+nwJ5EC1atIjf/e533X8PtACpqsrLL7/MihUr+P73vz9g62lvb+erX/0qra2t3esIDhalp6dz9dVXD9h6hBBCjExFY8dQfbiVc61vD/ZShBi+3oowYGMFTh78QBForQzXvns9/rM2c5DMXgP/sWQOUMBnuEuj9/MUCOBcb13HTQkv4VDadd3XBA5QZl3HKt+C7ssctHGD9R+UJrzCOOVYi85+NYPqnK9h7TzDfBtKkOBhMwt+Jip1OGnFRQp71TzcJLPKt4CHfZdTpNSRRivNpFCl5pGChxcT76bAcjDqPgosB6mw3cfFnctpIZnKHbXcMvsEQ2dHL99SHTZMFBD83JckbCQ3qDWrXs2ksmsO5b55eJ47gN/voyRpg+59RxOp6eakDJUK2wosTTqbFdz1HPeflbyYqIVdatXsuKwvmnzlABW2+8K+foFg0EW2D/mQ7x67orMFnr0iZktMz9cctNdoXsfP+eeZu8nbUwEd7r49gHAhlkCoYsejuLc+hqPz2GMLvA+e883ia9bNlCRsCAnBtSjjsW6+Eb5YAhWxHyNHqqHiCnw3bWavy4Kr3YtzjI0TTr8ey7/u0/84ooRWnv9vC6X67ykydx0c+khrfIilsUrf4w8YiAAJmGpryqKRW08D7Ee/n6cvgbcq9T22aCEpTzNsewR2PQ6tDccuV6yghgluBUJob1Vqz5XZUE8s9jQ490445w7t9fY0ae1X44qNNX34fdrz7WnW7nPcJG37oM8Xu8q191WAI097L09b0v/vBRgyaxnqDT+xBNpNVq7fo3ubgWw3kYF4IWJz2m1ULJoaMXgfkJ+ZTMWiqTjsQ+P4I/rXcP9+EkIIIYQQQgghhBBCCCHE8DCsA0XTpk1j1qxZbN68uTvAA3T/7x/96EdkZGSwePHifl+L1+vl6quv5t133w1ZCxwLOn3zm99kzJgx/b4WIYQQI1tuZgoTlbdJV4y3HwghAK8K70cYUJyUAGMGZrhSD8XThPWxWXyYeR5ZjWsGezlDxiHVGRLO6YtmUsJe7iaZh32Xc03CBhzoCxQBlNpe5WHf5fixcJJSze8Tf0Z6mHBXjnKEnNpH4dF/xmUw3TnGhoM2yqzregUs9qsZVHbNpdw3DzfJfKxOCNm2zLouZpgooMBysDs0td/l4aMDbiwWpTuEMXF8asQBZZ9fpXJn7GBOtPAToIWl1E/JsLh7tSmZEWi6CQRmAFKTErhpVhGL1eewbdEZJgoSLogTL2ljbCRaFRpaOnHQFjFMFCzP0siHwRe89UfdQZPg1zzATTKtM++GK+6Fhg9g/7vaFemF8Oeb9IdY0vMjh1iOhirUM5dS+tCfaGs+1P0+mKA08MfEe8M+7tTOBi30sf0RLYihx5FqfvfLO7mv9dLui4ocJ/G8/TjSPZ/F3j5KaMXnV3nkXYXz1Yy4vF91PSZPs/4wkWKFmbfDjP8ZmACJ2Xaf4McdaLaJ9RijhaTq34KnLg3/fIYLEwU7GkJj8Wv9+5xZrPrCYz15mmH7aq0JKji85cjV2p2mL4lfaCkehsBaAg0/Rlp0BrLhR4+ymYWs3b0vahAhYKDbTWQgXgh9Csam8OLSmTy5tZrKHbXsd3m6r8tx2imZlk/ZjEIJE40iI+H7SQghhBBCCCGEEEIIIYQQQ9+wDhQB/PSnP+Xcc8/t/ntwqMjn83HzzTdTU1PDT3/6U6zW/hlE+PTTT7n66qvZtm1bSCNR8P/OyMjgrrvu6pf9CyGEGF3GO+w4wzRqCCF02tMFkeZxThuCw1meJs7y/ZMu1UKC4h/s1QwJL/mmcl3C+j7fT72a2R1SCWeiUmc4AJDFYaY5DtPU0spfE3+ILdZrFqfB9InWBv5h/wETONDrukBLzZXWzb1acyz4KUkw1vJTkrCxOzR11W+3hzQIZDuTKJlaQNnMQpw9hh33NrQYGobzY+kOPzlo49vWP/cKS/XFQTWNiq7zKffNCwn95KbZ+cf/nEO63QornzZ9/+GCOEYFt00lpmRw9vSzuH7mRJITE/jrfz7jk7X/qzsMFuK9Pxu6efBrDkGDihYFsk/R/i+g9AV4cj64YgRxkpxw1bMxw3TOZDv33nhl9xn79YaodIeJjrq062V+zvzux1jlTuBS5Tv83r6C49Ten6tuMZp99ja0UO/uotI6l2W2OARD7emhfw/XQrN9tf5Ql+qDhKSBCROB+Ua2no9bT7PN1BvBvR9qt4c29NS/BY/NAX+X6YfBkWrYsVoLwgwl0ZqpwjUsmQ0t9YdBXMtQb/jRYyi3m8hAvBD6Oe02ls4t5pbZJ1DV0EJzu5e0MTaKooT2xcg1Er6fhBBCCCGEEEIIIYQQQggx9FkGewF9dc4553Ddddd1twAFBP6uqio///nPOfXUU/n73/8e1323trZy33338fnPf55t27Z1h5nCtRPdc889pKenx3X/QgghRqe89DG4IjRqCCF0eDtCO9EYBYqHZt4+weuWMFGQ9b4p1Piz+nw/lV1zusMD4ZgNb+ZwmOeT74sdJgo4Us2hDQ/i86uxbxuOpxnrs1eEDRMFC7TmpHJs0NhMaCpXaaRI0Yb3g8NEAAdcHaxcv4cLV26mqqEl5DpXe4TPXgz5ygFeTLybZbY1cQsTAbSriSFhIgt+ZqUf4oX5FtJb9sLB90PbPUwoSdiIBWOfXQt+vqh8xIqE3/KG/WZeSbqTtUn38Puu27j1rctxbH8Aa6eLU3JTDYfBurU2GLp58GsOMQYVk8fqaxXpcMGfSsETu20scMb+ZedP4taU9eZCVDH0fIwAtWo289p/xu9sV+N35IZu4MiD2T/QwoBRQlGB9325b17fj1uOPK21BbQA0aafw8pT4JHp8MSF2p8PnAyvP2TsfneVa8GkgTBuEv7UHEOb+B25xx53sECzze3vws074IZ/an9+ayuoKjxyVuhzs/IUWH8PPHVJ38JEAQP5vOmht5kqEGTV8dnrN36fdoyt3a79OQSex7KZheRn6muUG+iGH72Cj5U5TnvIdTlOO8vOn8RLS2dSMHZg/y0ZGIg3QgbixWhntSgUZzs4ozCT4myHfB5GsZHw/SSEEEIIIYQQQgghhBBCiKFtaE5MGrRy5Uo2b95MdXV1d4goIPD3Dz74gEsuuYSTTjqJq666ioULF3LSSScZ3ldTUxNbt27lL3/5C3/6059wu90hrUg9/7eiKJx//vnccsst8XmwQgghRr2URCt71Tz2qxlxHawWYlRo9cPHEYaIT0kAqwxqDQf1jKXUe5e+lpII6vyZlPvmRb2N2fDmF9tfZ0yC29A23p1PMPM/U/n6tKKw7T5RGWgj6dmaYzY0lRZju/pmD+c/8C8WnzuRJV+eiNNuwznGeBuC7jYaEwosDZRZ1/Gkbx63pqynxLqBVE8DrD16gzFj+7yPQEgl0LQUjYM2yqzrKE14hfFKc/gbBTWMTJz3S6wD+Dsg8JrHHFTcvhqaavXdqYGWF6fdxtLZRaj/+RcY+3jpFu597SaZe92X0D7tNm49Da35yJ6uBVx0BKcC73s3yX0+bnFGmbbPaC00LfuN36+7Dg59NDDtMBYrOzIv46yWR3VvsiPzMs6K9lwHN9s0VsFjsyM39Gx5wNh6oxnI500PI81Ug9Ww5GnW1vlmeWhg05ELU8pg+hLDLVY+v8rehhZc7V6cY2xMNNniMZQbfowYqu0mZTMLWbt7X9TnNkAG4vtHvD4rQoiBNVK+n4QQQgghhBBCCCGEEEIIMXSNiEBReno6zz//PDNnzqStra07zBMc7gGtLei9997jxz/+MT/+8Y8ZM2YMJ554YkizUU/XXnstHo+HgwcPUl1dzaefftp9Xbj7D/47QH5+Pk8//XR8H7AQQohR7WcvfYAfC5Vdc1lmWzPYyxFiePlvFxHLQk6TwZvhoF7NpErNw4+F+Z3LuTvhGa5O2GT4fu7tuqa7mSaSg2o6bSSRTIfu+z2kpnKpdZvh9eQqjaS0VLNyfRdrd++jYtFUfQ0Cfp82mG1AScJGHvZdjh+L6dBUs47tfCo8smkvL75dT8WiqUwcn0quI4HUlmqctOIihb1HX8tIyqzr+iVMFHCrYxO3Ju4k0VULPQsy2g/HZR+Lz8zk/g/s7Hd5It4mXzlgLGhypBrri9+Oy/r0aiYl5qCiq82D5fXHSDVyx7vK4Zw79LUaHdqD0sfWqGiiva+f3fkZN8+ZY3j4euL4VLKdSRxwdVCrZjO/cznXW9dRkrCRXKVR/x1lFMK0JfpbaIzyNMX3/iLw+VV+UD+Dcv8Lut7vNf4sflA3k1f8auznvr+em6j7bBq4fUVj4rvA0GcvHqIF4YLCkpS+ELX1K8Dl8VK+pZrKnTUccB37ns52JlEytYBrzy6gwd1hKDwRaPh5cms1lTtqQ47bOU47JdPyKZtROCyGtQPtJkOFDMQPnlifFcNBdiHEgBtJ309CCCGEEEIIIYQQQgghhBh6RkSgCOALX/gCf/3rX5k/fz4ejyekLSjQFNQzaNTW1sbu3bt7BYKC/3z22We79xHcfAShwaFw4aKxY8eybt06srKy+uMhCyGEGIXaO33sa2oHoNw3j6sSXuU4JT4Dz0KMCm93hr88Q4EJAzRQK/qksmtOdwDFTTJP+C4yFSjaox4f9fp85QDP2pYbChMBjFNaDK8lINCOUtvYRunjO3lp6czYQ2GH9oS2POgQ3JpjpvEuEOrSq7axjSW/e5U/T3mbV5QnSE1q6L5uv5pBZddcyn3zcPcIeFnwU5KwQfd+zEj0HILIOZ+4OKkon/KzTqLmcCtLntnd63rTLUxuE000ASnjwfOZ7psfJJPL5p5L6dlFHHR3sKu6sdeAfs3hVn702Bqe7myIcW89GGl58URoboqDWO/r/S4PVQ0thgf0rRaFkqkFrFy/B9COW6t8C3jYdzlFSh2T+JQfJj5LXrRwUUahFrKwO2HTz/snMGNPj/99hrG3oYUqdwKlSuy2php/FqXeu6jttOh77o009MTLAD1vMZn4LhjQhiW9Ya8j1drtFr+mvd8jqDncGjGYcsDVwcr1e3how0f4gv47XqTwRLjWlqHY8DMSyED8wNPzWTEUZBdCDJqh2kAnhBBCCCGEEEIIIYQQQojhb8QEigBmz57Niy++yMKFC2lqagoJ94RrD+p5XTjB14VrMgp3vaqq5Obm8o9//IPJkyebf0BCCCFED398ozb0AlUFmRsQQp9DPvgsQj3RaTaI0lophoYafxblvnkhl/VHICYQ8DjeYjAY0UfB7Si1jW2Ub61m6dzi6BuZDFgEwktmGu+CQ1165CsHWN16H0lbDpLU47oc5QjLbGu40rpZCw6o2d3XTVTqDL2uQ1G9msmlfziIn0NkORJJSbLS2hFahdSnFibFAmqk2rUoTr4cXvuP7ps7Zt6EHysX/mpz2HaDhWccR+njOxnffJheL7IeelteEg11Hxmi533d3O41dd9lMwtZu3tfyEC3HwsfqxP4mAm81vGF8K1Fjjw4o0xrJrI7zbXQ6OHIg3ExjjVx4jr6HEZra6pXM6nsmkO5b153k1zM576/nptoBvB5i8ls2G6gGpaMhL2OVMOO1XDunWGvdnm8MVtugJAwEfQOT2SkJMZsbRlKDT8jxbAeiPf7tPCepxnsaTBu0sA1fJmg97NiKMguhBh0Q62BTgghhBBCCCGEEEIIIYQQw9+IChSBFiravn07l19+Oe+//353MxH0Dg/1vC6ccAGkaLdTVZUvfOEL/PnPf6agoKDPj0cIIYQI9tmR9u7/XWZdx3GWKGezF0KEeifKMPKpMjynh09VsCqRw/j9qdY/jlLvXd3D5QH9EYjpU8DDpAY1rVfIqXJHLbfMPiH6gK09zdT+gsNL5b55XGndrOsxhwt1RaO3fafAcpAK231c3Lm8+zV2Hg09DWfB77WD7t4NaRb8lCa8bH4HZsJEAF+4Ct59UteAv9dZwBVvnsYHR/b0ui4woP/E1k9obveSpJhsN4jV8uJp1gIJ/RQY0fu+Thtj7rvCabdRsWhqxMHuQGvR35xXU7lgLHlJHdpzMq44dFjdTAuNHmeUDdhQvDPoOezZ1pRGK82kUKXm9TpGx3zu++u5iWYAn7eYFP0hzxAD0bBkJuy1qxzOuSPs81u+pTpmQCKa2sY2vv7b7VgtCvuC/m0VIK0tA2NYDcQHfwcFH2ccuTClDKYvMf17rD8Z+azoDrILIYQQQgghhBBCCCGEEEIIIUYckxMHQ1txcTH//ve/ufPOO7FYLCHtRMEBoUDAKFZDUaTbBe5PURRUVUVRFG6//XZ27NghYSIhhBD9Itupnfbfgp+ShA2DvBohhhFVhbcjBIomWGHsEBkIHuKsisoNnXdQ2vE96vyZA7LPLtXC77zzuKhzRUh7TbBy3zxq/Fm67s+XXsiXvnpXxOsH6/ha0XVerwH6/S4PVQ0t0TccN0kbaDWgZ0OTm2RKvXfFfA5r/FlhQ13RGAlnFVgOclPiyziStM+ji+E9xK0npHKqspfxiqtvOzL4+gNa00/pC5BRGPVm/vRCSju/zwcxiqIC7TGBxjBDYrW8NFbBo7Ng03JzgZEYgQm97+scp52i8eYbkgrGpvDi0pksO38SOU57yHV5Dhv3nm3l71fayUuzw4QzIevE3mEKsy000WQUag1IA2Ti+NTu37MBgbamN9XJfKxO6HUs1PXc98dzE80AP289+fwqew642VXdyJ4DbvwfrTd+JwPVsGQm7OWug0Mf9brY51ep3FnT5yXVN3vChomCBVpb3B5zzWSDred7xOcfnED4sBftO8hdr13+6CztdkOImc9K5Y5aeZ8IIYQQQgghhBBCCCGEEEIIMQqNuIaigMTERFasWMENN9zAj370I9asWdMd+tHbOtRTz+2Ctz3vvPO4//77OfXUU/u+eCGEECKCrFRtAHOiUkeOEmO6VwhxzKc+aIrwm0/aiQxpVlN5U53M170/4k+2e8ixNPXLftpsGbzoO4t72y7HhTZIblUUfGF+uwcCMbGacGr8WbxceD9fSo8chhqM42uTmsITvq+EvS4Q1IjIYtXOjr9pue79hWtoqlWzmd+5nOut6yhJ2EiucqwBr17NpLJrDk/5LiBbaWKK8iEuUtgbpkXEgp+JSh1OWmlhDCUJxobcv6qs5/eJC3F3HAunGHk93OoYHEr0IfGBUKdmcp33ezFDKldbX+37zi79Nfz9juhtQ8683pdlFsHizbDjUa0NxF137DpHHpxRxqPt57N9U13vbSMw0xgWteXF0wwVV+hqUgoroxCufwn+U9nrMboTs/ht6yzKffN0heRKpuVHbQvz+VX2NrTgavfiHGNj4vjUXrd32m0snVvMLbNPoKqhhZbmw+R/9DSZH1Si7K6H3UdvGKn1It4NGBmFWrDM7ozv/UZhtSiUTC1g5frejVeRxHrugYFtBxmE5y3A5fFSvqWayp01HHB1ANpxd7v9MfTFaoNMuW5gGpbMhr08Tb0u2tvQ0v24B8JwbG0J9x4B7cQUJVMLKJtZiNMuv3110fsddKRau93i1wbluBCOmc9KIMg+bJqjhBBCCCGEEEIIIYQQQgghhBBxMWIDRQGTJk3ij3/8I3v37uWxxx7jmWeeoa7u2BBRuIBRNMHho5SUFK688kpuvfVWpkyZEtd1CyGEEOG8f9ANgJPWQV6JEMNMpHYiC/D5Ef+TuJcafxa/6bqEFYmPG962+WhrTK2azRLv7fw56X/jsqYW23iU0rWk0A72dJLHFXMlFr7U0EJzu5e0MTasFoXry9+gtrGt1/Z6AjHlvnm07+jkt5Mjh3QG+vjqVS1c3fmDiIGGtDE6hn6nL4G3KnWFLqK15rhJZpVvAQ/7LqdIqSONVppJoUFN5zrry7yc9L2QcM9+NYPKrrnd91dmXUdJwoY+BbJylUZSWqqBCabCKd4p30R9rwIlzCD6QMpTGvlD4r3dz487zOtrwc951t1htjbAkQcTZ8cMBnFKKWzd2Xt7exqceyecc4fWBuJp0hp9xhXjw8KTK4y3dZX75nGldbO+ZqpYLS/bV/ctTFT6AqRNCPsY1dRC/vLrbbSEOZ70lJ+ZTNmMwrDXmRnet1oUim0N8I8Ig+qB1ou3KrXHkFmkXT5uktYu1RmjuSxkZ4mQPDa0WSPwvpi2ZFCG38tmFrJ2976wx/Keoj33IQJtbWZarPQa5Oet5nArpY/v7PW8TVTqyKIxwlZRnHBenFYWg9mwV5h2MVeskG0/qNxRyy2zT4gdahsCIr1HAA64Oli5fg9rd++jYtFUCsYO7xbAAWHkO+hINexYrX3fDAFmPysxg+xCCCGEEEIIIYQQQgghhBBCiBFn1ExPTpw4kRUrVrBixQp2797NunXr2LFjB//+97/Zt2+frvuw2+184QtfYNq0aZx33nmcf/75JCUl9fPKhRBCiGPqmrTWBRcyACaEbl0q/DfCcFxxAiRbwl83QpV3XcD9XV+jDTt3qM8xXnHp3rZezaRKPdZ08rY60XCDTCSpM2+C/C+EXGaFXmdJf3HpTJ7cWs3qf+2lrdMXcl0rdtb5p7K982ScSgsuNYUjOKgKbtJRVX7wwjtkOZI46O595vaBPL42+VP4uveHfKAWhL0+x2mnaHxq7Duyp2mhgxhn0a/xZ1HqvStmG4sfCx+rEwDIVw7w18Qfhg2H5ChHWGZbw1UJr4KqcpzFxEB7GGlBoS4j4ZROZwGZ590BH/4hLuvoq8Dzc6V1M6Xeu6hVs0Oun6jUMc7A5y+sQLtPlGAQFiu4YuzHYoWsE0Mu2nvAbaoJRG9jWKezgMRoLS9+H7xZbnj/pObCmTf0Dn30eIxOoGLR1IjD9wH5mclULJqKI0yjh+nh/T60XvhVMPStlZAE//M2NFb1fl8MEqfd1ufnvhcTbW1R2dOh9M9gGzMknjeXxxvx+TIdhPV39XFVOpkJeznytOe7B6eekG2cDZfWlmjvkWC1jW2UPr6Tl5bO1PfZGq1MfAf5dz2B5Zw7BvX4GmD2s6IryC6EEEIIIYQQQgghhBBCCCGEGFFGTaAo2Omnn87pp5/e/fe2tjY+/fRT6urqcLvdtLe34/V6SUpKIjk5mbFjx5Kfn09ubq6hNiMhhBAi3pKs2gjpXjUvbkP8Qox4H3WBJ8J1p46uobl6NYOfdl2LHwsO2rDhi71RkMquOceCOWCqQSYse3r0lpIgTruNpXOLufasAubcv4nGVi8O2sK24wQ36AQ3xOx3dXBW0diwgaKBOL42qGlUdJ3HE76vRA33lEzL19+IkFkUsaWmMzmHVc0zKffNixkmCuagLWYoBOA45TDE8Z9JzUGhLr3hlH1kk3vtn6FlP7Q2xG8xcVBgOUiF7T4u7lwe8vz3uQ3Lmdf7cxMmGGRWX5pAojeGZfCadTpXzv8mdHVoQ9vhhq8P7THXNlO6FrJP0XXTgrEp3SHFyh217Hcd+7LIcdopmZZP2YzCsEP3fRreN9l60fLZe6R6DbQTAXS4tTBRnN4X8dKX5z4iA21ttf5x/MU3g6sSt5ClHj52RfJ4mPpNmH7zoLQQRVK+pTrie810EDZMA1C/MBP2CoQle5g4PpVsZ5KpsGNfDIfWlmjvkZ5qG9so31rN0rm9Q1viKBPfQRZ3PXV73yav+Ev9tCj9zHxWdAfZhRBCCCGEEEIIIYQQQgghhBAjyqgMFPWUnJzM5MmTmTx58mAvRQghhIgqJVH76vZjYU3XLL5t+8sgr0iIYeDtCEOgScDk0fVzuLJrbncg6Fv2l0k3EGho8qdQ7pvX63IjDTIRWRMh0dhAdHpyIg987Yv8vydfjBg2idYQs7ehhfzM5F7Dt3ELSfXQoKZxc+f/cITU0MakCPIzkymbUWhsJxFaaqp9Oax6cCsAFvxMVOpw0oqLFPZGWUuZdV3fXlcTerZgQaxwSiaVXXNImfVtlowrgtrtA7pevQosBymzrmOVb0H3ZX1pw1IVK8q1f+3XwENfm0DcJLPKt4CHfZdTpNSRy2HmWv7NvISdfM3/D6j8h3ZDR64WNpi+RHsPB3iaze24w23o5oGQ4i2zT6CqoYXmdi9pY2wUjU+NGugzPbxvpnlpVzmccwd/f+MDvmZsS42nycxW/c7scx/R0ba2pt/OJ93zWcSbBdraatVsVrZ/lZ+cncg3vph2rIUItDDBwfe0+xw3aVAbR3x+lcqdNRGvNxWEjdAA1G8MhL3IKIwYMrZaFEqmFrBy/Z64Li+Wod7aEus90pMFP9u2beGWiYewJqcP+nt8SDL5HXTvmm38/PbPD3r7k5nPiqEguxBCCCGEEEIIIYQQQgghhBBixBhdE5RCCCHEMFecq50xOF85wGXW1wd5NUIMA+0q7OkKf93JNkgYPUNz+/3pfKJmc6byPsnOsSzseMXQ9p1KAm3Ye12ut0EmqtaDWgAmSoOGz6+yt6EFV7sX5xgbE8encs7xiVQmrWAC0fcbriHmoLuDp8rO5Ed/+W+vUEBcQlI9PN11Pm+o+hpC8jOTqVg01fwwao+Wmol+lfxkL5d3/E13i5MFPyUJG8ztvw96tmAF9AynpNFKMylUqXmMd45h9UmF+Pwq1uBAyhBTkrCRh32Xdz++vrRhHfnSzWT2cxggXk0gfix0YuNeW3n4z5S7XmsueasSSl/Q2rYgNFxkhN7WFb9PC414msGehnXcJIqzHbo2NTq8D1C5o5ZbZp+A1UzzkrsOX8Menn/PbS5QNFBNNCZZLYru5z4WX/rnWOC7j4u9f40YQAxua/Nj4dfvJnD1/GlYO12w+Zda4Cv4NYoUehsgextaon4OTQVhIzQA9ZujYS8qrogeKsoo1G4XJSxZNrOQtbv36Q709dVwaG2J9R4JCGl07DoCTwauGNz3+JBk8nnY47IOmfYnI58VU0F2IYQQQgghhBBCCCGEEEIIIcSIIIEiIYQQYhhpaffhoI0K230cb2kY7OUIMfT91wv+CNedNrTPNh9vOZYmfp34sPYXE/mALKWZIqWOj9UJva4LbpC5LuGfjFOMNYQAERs0XB4v5VuqqdxZEzIsm+1M4lc5L3MWB3TdfaAh5mHf5d0NPWPbxvLit8/iyW2fUrmjlv0uD6CFV5Yl/ZgnrD8jLUrLhV41/qyw7U495TjtlEzLp2xGYVzPbG9t+oS/Jt5Nur/3Y4nU4jRRqTMVdOmLcM9Tbpqd+mZP99/9WHq9Bw+4OrjikdfJdiZxzZkT+HZqDpaW/QOyZiNylcaQz5DZNqwafxaHT7yRzP5YZBAz7QZpY2w0t4e2wgV+t8QM6B2p1sIGi1/TwgTjJmlD7kbCN3paVzzNsH11n0Ijeof3g+13eahqaKG4w1zrxWf19exsGc/+JGMhNG9KDra+hs96hK+GcpvJ3oYWqtwJrCJ8ADFcYHG/y8OnH79L4T++ET7sEin0NkBc7RGaFoMYCsJGaQDqV5lFsHgz7HhUa91y1x27zpGnhZymLYnZvOa026hYNJXSx3cOSKjI3eHl1xs/pmxmIc5Bbp2JRM97JF85EPlYPMjv8SHJxHdQoGWxO0A6yG0/ej8rfQ6yCyGEEEIIIYQQQgghhBBCCCGGNQkUCSGEEMNIVUMLZdZ1cW3NEGJEezvCgGWaAgVDcxh6KEujNezl4x1JzDwhj2c+uIqXPWfwz6TvG77vFksqPc//X3O4NeIQZIOrnc91/AkMzGrelPAS1ySsJ0dp0i74C+DIZemUMm65bTFVbivN7V7SxtgoGjsGa/0k+PfT8OE/oDUoxJk8Dj6/AL54DTx3XdS2hRp/FqXeu7rbMMLJdiTxaOkUTp2QHv/hU08zVFxBeoxgVM8WJ2eE17q/hHuecpx2/v4/51CxrSYk8BXJAVcHD2zYS4pjNov4fX8v2ZSenyGjbVif+sdT6r2Lx9P6O06kMdJucHzGGP64+CzWvLkv5PUy9LvlSDXsWA3n3qkFVqaUaUPuesVqXWmsityQYmCgXs/wfjjN7V5INtd64SIFP+2GQ2gHJ13NcWbDP3EIXw204NcmXAAxHAdt5PytBNy10W/YM/Q2QJxjYg/5624L1NEA1K/sadrn+5w7tGZCT5PWoDWu2FBIrWBsCi8uncmTW6t7fT9YFQWfqkbcdkL6GPyqSl1z9O+UgNYOHyvX72Ht7n1ULJpKwdgU3escKLHeI6aDnaOZie+gQMtid4A0Ts1rfRHts9JfQXYhhBBCCCGEEEIIIYQQQgghxPAigSIhhBBiGHG1e7gtYcNgL0OI4eGIHz71hb/uVBsog3vW8HC6VIUEJfIQ7GBrJnSIdnxqIqVnFXYPIr5f7+LiBzvYrxpr0KhXM7n62f089c3PdQ/qujzeqGdUN9Og41DacdAeeuHREIH1rUqKS1+AtLGw/ZHeA/TJ42DyV2DKdZB3+rHB5yhtC7Wf+xqX7TqVJnVMxDUlWBRWXvVFvpifYeix6LZ9ddTAU7BAi9Mq3wJcDMzAdL2aSWXXHMp983qFrq6cchwZyYksnVvMLbNP4O19TSypeJMD7ujNML9yz2XemI0cp+prrzKz5n92TeF62yuGt+35GdIbAuhSLTzpu5BfdV0JSU7GO5IM79sMI00g7V4fz+3aR9nMQm6ZfQJVDS00t3r44trbMZRP21WuhQ0sVi2w8lalvvdwrNaVo+G6mPelY6BeT8AjnLQxNtPNS4nZk4FDhkJoNf4suk6/ydRa4xW+GmhmXpsy6zrsscJEAUeqObThQTK+8sMBax+ZOD6VbGdSzFas4LbAUttGsmg8dqWBBqABYbFC1ol9ugun3db9/VDV0NIdCB7vSOLpMEHU4PBEY2un4Yaj2sY2Sh/fyUtLZw658EWs94jpYOdoN30Jnjef0XV86Nmy2LOtbzBF+qwUjU8d9BYlIYQQQgghhBBCCCGEEEIIIcTgswz2AoQQQgih30m2/YYH6IUYtSK1EwGcNrQGQQE+82vBiqGqXs2kSs0Lucxus4ac1XxStoPxzjFUds01dN+VXXOoPtJB6eM7cXu01618S3XUQd+4N+gcqYYn58PqmdqgfM9h/7ZD8O8KWPtNaKo5dnmgbeH2d+HmHXDDP+HmHbi+9W++8fGXafJHDhMBdPlVvv/8O92PO678Pi0YZUBJwkbSaOEiyw58avyHTOvVDC7oWMGVHf/LeR2/YEbHQ6zyLaANO8XKPqYoH1Ks7MOCP2Q7q0Vh855DMcNEoIV0rvZ8n2b7cVFv16Ua++ewqljwlf2TBYmr+YnvOvarxkJg4T5DcCwEcL93IfVqaPPQIdVBufcCTu9Yzb1dpbSQTEtHF5f+eis1hwemRSrQbrDs/EmMS02MeLtDLZ2sXL+H+Q9tYd+RNoqzHZyReoiEVoPBLned1lwC2uer9AUtLBRNpNYVvw8Ovg+122HDT3WH67oH6iMIDO8bkeO0UzQ+9VjrhRFnlDExO41sZ1J3CK3GnxV1kxp/FsuSfkzhcbnG9gXGw1cel/F99BOjr40FP9+wbTS0D+/OJ5h538s8uP4jXP1x7O7BalEomVqg67ZuklnlW8AfZ/4j5DuJ29/VvquGQpgozqwWRTveFGZSnO0g/WgQdev35/DK7bNYs+QsXrl9Flu/P4elc4tx2G0hx7XUJP3nWqptbKN8a3X/PRiTor1HLPgpMXpCil3l2vFztLOnUX9Jpa7jbc+WxTSTwdP+1POzImEiIYQQQgghhBBCCCGEEEIIIQRIoEgIIYQYVk7upwILIUYcVY0cKMq1wHjrwK4nCr8Kv/Zeylc6V3BBwu7BXk5ElV1z8Pf458OnR9pDBmsDA63lvnkxhy8Dgs/oHhjU9flVKnfWRN2uXxp0XJ9BU4yz0EcaoA+0LeRPh6wTKX/9U93NB/02oHxoj7EWFCBXaeQfid/ndttarP3QllXZNZc9aj5vqpP5WJ1ACh6WWp/n9aRbeSXpTtYm3cMrSXfyetKtpO1cia+tCQCfX+WZHdW691OrZrPAtwL/l+/WmjmCdCbncL93Iau7LjG0dkX1Y63ezNenFeHHYio41/MzFBAIAczoeIjzOn7RHbia2vEb7vFdj4vU0Md3tCmjX4JoYTjtNq6fUUhyYuzB+5C1eZrN7dDTdOx/ZxZpTWCzf9DrtcSRp12++LXQlhxPM2z6Oaw8BR6ZDk9cCG88ZmwNUQbqjQQ8Akqm5R8b3p6+JHZIKuBo81LwPqOF0OrVTO73LuTizuWcO32quYFxA81mscJXugQHvw6+36cgg9HXZqJSF9rko0Ou0khKS3V3gG4gwn1lMwvJz0yOfUMgPzOZ62dODPlO6m7VG0WsFoWi8ak4x9hobveyt6EFn//Y95rTbuOW2SeQnGjsP41W7qgNuZ+hItJ7xEyjY0iwc5TLP+HzlCX9MubxtlbN7r68O0AqhBBCCCGEEEIIIYQQQgghhBDDgP7TcAohhBBi0BXkmTjLvBCj0Wc+aPSHv26ItRP9qutKHvJdSbGyb8g2kAWHfnqq3FHLLbNP6B5aL5tZyNrd+yg9chcVtvsosByMer89z+j+zPYazj85mwOu6E00e9U89qsZg/OcBQboz70z7NV6AlE99Xwe48JkmCPPYmy4Xq+e76N85UDE90iOcoSbfH+gc/U2rNf/mdcaUmlwdxra3163lb0n3UzxrO/AoY/wtR3h0/ZE/t02jlXPvUsaLSxJ+BsJSoRjRRidOx7nnK/dwJo3x1B+ZB5XWjdHfY8HRPsMBaQdHXr/WJ2gay2BINrSucW6bt9XsVrDgnWv7dQ0czuzp/f4+9EmsHPu0IbcPU3abcYV9w5KNFbpa9eJJTBQn3Vi2KsDxzo9z0l+ZjJlMwqPXRBoXoq1zh7NS8H7DITQHvZdTpFSRxqtNJNClZqHH0vvfeplotmMXeXaa2M0tOJp1sJLb5aHhh8duVqL0/Ql2nNlkJHXptjpg9jFZ72kHW3JCwToXlo6s7utrz847TYqFk2l9PGdUR9XfmYyFYum9utahgOXx0v5lmoqd9aE/J7IdiZRMrWAspmFOO029ja0cNDgd8t+l4eqhhaKsx3xXnafRHqPmG50DA52jmJWi8Jl005m5fqEiMfbnkICpEIIIYQQQgghhBBCCCGEEEIIMcRJQ5EQQggxjHjST2C/KjVFQsQUqZ1IAT4/dIZsP/Nn8oTvK0AfBj77WbjQT4AFPw73x9S9/Wp3q0RgoJWMz+lq0Ag+ozvAIXc7n324mynKhxQr+7AQPuzhx8Lvu+bE74EaFaW9ZG9DS8xAVE+BAeW4MjGIb0a9monLPybqbXq+jxy0xQycASS6avA/fQU/WbPd1Nqa2724PF4qtlWz5Jk3ufHpXdzx3NsAZClNhsJEAIlt+7nz0bW0e30odiel3rtitnFF+wwF5Gcm8+LSmaQkGQtkDFRThtmQnC+zWAuHGOHI04JC4fRoAusVYPE0xydM1H1/TRGvChzr8jOTseCnWNkX9rgVMeBhonkpeJ8Bfix8rE7obv0KhIlMh0pMNJuZajNprIJHZ8Gm5b33567XLn90lnY7g8I9T+HkZybzwyunG75/gOaglrx+a5nroWBsCi8uncmy8yeR47SHXJfjtLPs/Em8tHQmBWP7ocFvGKk53Mr8h7awcv2eXt/FB1wdIc1SrnZzLW/NJrfrb+HeI6YbHXsGO0exQPtTuONtT6bDnEIIIYQQQgghhBBCCCGEEEIIMUikoUgIIYQYRt7f38KnXXNZZlsz2EsRYujyqfDfrvDXTUyA1CGUqVeOnb3c9MBnP2lQnaz3nc4ffLPZp44Puc5BG2XWdZQkbNAagv4cuEJrlSiYvoQXl87k3hffY9WuZF1ndA+5z01HOC9Ju3y/mkFl11zKffNwB4VRArcdNFHaS4bMgPK4SdprYjQcoJNPVXjSdyHnW3bhtLRHvF2TmsIS720h4bEy6zpdzT4AlqZqLvb+hVUsMLQ+B22Me3MlHe8+Q6naSClA0rH31L/9Ew3dX0AarXzcojVaqPbjuMSznOus6yhJ2EiucqzdqV7NpLJrDuW+eTHDRBWLptLe6aO1I3xILZKBasowHZI73E7xlDItHKLXGWXGm24Ctq+OX5gIYg7UF6R08fLp2+ja+QSpnQ3dl+9XM/hrwoX4py7hmnM/HznYY6R5KbDPo4GBJ7dWU7mjlv0uT/d1OU47JdPyKZtRaL6hxmSzmaE2E73BryPV2u0Wv9bd0qSX7ucp0WL4OFmvZlKlhobA+qVlLgyn3cbSucXcMvsEqhpaaG73kjbGRtH4VGlEQWsmitXiBMeapR78+hdN7SdtzNAJp/fU6z3S6qFr7f0ktB7QfyfRgp2jkDSECSGEGM18fpW9DS242r04x9iYKL87hRBCCCGEEEIIIYQQYsSRQJEQQggxjLxT18wLvnlclfAqxymHB3s5QgxNH3dBW4TGjtOG1oDfccphvpPwJ/7mO4sWxtCgOhivuAd1Te2qDT8Wxisurk7YxNUJm0JCPRmKO3KzTKBV4q1KnKUvcN5J2fxp177uM7qHY8HPTOUdfpH4Wy2c1EOOcoRltjVcad1MqfcuAF3NNgMiwgC90+SgcdwHlC1WMBrmMMCqqHzFspM8S2PU26Urray2/YqLO5fTgtbmYjQMVpKwkYd9l4dtAwgnXzlAZdIKJrzTe4A68J6q69GcpVdwM4nb08X41AxWtSzQFZwLlpmSyPVnF3aHP3ZVR38eI65nAJoy+hSSm74E3qrUF/TJKIRpS6LeJOJAm98Hb5abWmdYsQbqG6ug4grsYR5XjnKEm3x/gA+2w5kvgL2o9/bBAs1LOvVrqMRss5mRNhMjwa8j1bBjtRa8Mkj382TwOFnZNafXZ3ugwn0BVosyYPsaTsq3VMcMEwXUNrbxrz0NZDuTDAUmc5x2isanml3igDn2HnHAmYsGLtg5QvV7mFMIIYQYYlweL+VbqqncWRPyWynbmUTJ1ALKZhbilO89IYQQQgghhBBCCCGEGBFGRaCoq6uLN998k7feeosPPviATz/9lIMHD9Lc3ExHRwednZ2oaoSh0zhTFIW9e/cOyL6EEEKMPA3uo/8PXFUFORmkEOG9E2HwPRE4cej9/L0+4WWuT3gZAL86+B/sMUrv5y8QwPiq9V9Y8HFcjABJoFUi88K/YMHPRKUOJ624SGHv0ZBFoGXomoT1ZCtNMddVYDnIM7afoaBwvKUh5u0HRIQB+onjU4fOgLKRMIcJscJEAQWWg5RZ17HKt4CJSl3Y8Fg0uUojRUpdxGBaMAdtVNjuYwLRQ2d5SiNdqoUExa97HeGaSRpatNc5WnAunMpvTuPE3GOtK0MmiBZGn9Zmd0DpC7EbaTIKtdtFaKKJNdC2aLKH1Hi2cUUbqB+Ahh09+iVUYqbZzEibiZng165yrcXJZMAh5vNk4DhZ48+i3Dcv7HUDEe4Tkfn8KpU7awxt84edn/L1M/N5cMNHurcpmZY//M7KH+dg52glDWFCCCFGi5rDrRGb+Q64Oli5fg9rd++jYtFUCsYOrbZtIYQQQgghhBBCCCGEEMYNvYnKOPF4PPzxj3/kueee49VXX8Xj8fS6zUCFiIIpivw/mIUQQpjnsNsos66LPcwvxGjlUeGDrvDXnWQD29D+LWZRBv73qRGGgjxHqjn5XzfxetKekPDIfjWDl3zTON+yi3zLIUP7N3r7fqVYwRL+n1NWi0LJ1AJWrt+j++76bUDZnqYrzFGnZpKn9O93S6BlyEmrqe3TdG5XZl2nu8HKSJgIwjeTACiKlvXVK8dp7xVwGFJBtB76vLbMIli8GXY8qoVD3HXHbujI08I705ZEDN3oGWj78I0aHjH0qKKINVBvsGHn0IYHqT7lltBGpaHI74NDe+CE8+DfFfq3M9JmcvB9Y2El0N4vhz4y1OJkiM7jZI0/i1LvXbSQHPb6gQj3icj2NrQYOkaB1iz15cnjeeHfn+lqNsrPTKZsRqHJFQ4ine/xWMFOoZGGMCGEGKICv2U9zdp337hJ0rhngsvjjfhvr2C1jW2UPr6Tl5bOlIY+IYQQQgghhBBCCCGEGOZGXKCovb2dX/ziF6xatYojR7TBxWjBoYEM+AxGgEkIIcTIkmZXKEnYMNjLEGLoes8LvgjXnSYDDgMtuX4HyT1+bucoR1iUsG5wFhRPqg+evTJi80jZzELW7t43NAaUo4Q5VEceG1Mv4vZPpvJy0vcMNwcZEWgZcmHuDMbNOraz4Df8Pam3pShaM4nRf+qFC5D1NYjm86vsbWjB1e6Ne3DFalG45swJ/G3jv3q1jelZG6AN9Z17p9Y0c+gj8DRpLV/jiqMO+ukdaPvIZYUkgw8snFgD9SYadrw7n+Brr30RP5buRqWymYU4h8rgnadZC0m9WW487KO3zSSwjx2PmloiniZz2+kVdJxUd5WjBB0n69VMKrvmUO6bFzFMNFDhvoHSn8eT/uIy2RDl86tULJoa8ziTn5lMxaKpw3dgto/BTjFAZBheCCGMi/Rb1pELU8q0pj572uCtb5gp31Kt679jgBYqKt9azdK5OttKhRBCCCGEEEIIIYQQQgxJIypQtHHjRq6//no+++yzkPCOtAIJIYQYKbI6avt12FuIYe+dCMOkDgUKZRhPRJGeT1dXFwktdbFvG3CkGnas1kISPTjttqE1oBwhzKGMK+bMTj/pD22hsnkuy2xr+nUZabTyb7WY/WqGoe+zejWTKjUv5u0mKnWGvycTFD91/kzyorT/xWomMSJagMxMEM3l8VK+pZrKnTUh7RzBwZU+OTqg9+23nmBp0v7ui/erGVR2zaXcNw93j+clakjOYjXUNKN3oG2vmmf4fRXMm5KDbeqi2AP1h/YYDt0EwnQfqxO6G5XW7t5HxaKpFIw1F7CLm8aq2K0lkehtM+nLPgLs6ea3DSNsYObocVI55w4qXlzPn7f9l2ZSqIoRnoN+bJkbYHqOJ0MmCNeD02RDVNoYGwVjU3hx6Uye3FpN5Y5a9ruOtZznOO2UTMunbEbh8A0TBZgMdooBIMPwQghhTrTfme562LQc3qrUfrNmFg348oYbn1+lcmeNoW0qd9Ryy+wTRsRvYSGEEEIIIYQQQgghhBitRkygaOXKlXz3u9/F79fOLN0zRDTY7UASahJCCBEPanvzYC9BiKGr2Q/VEeqJTrWBDDeIMFRHHodPLOGDwhIefOF1fq8u1dVW021XuTaYG2YQV8+A8rVnFXDQ3cGu6saBaYEIE+Zw2q1ULJrKkt+1cmXrZgosB2Pfj/M4cH1mePfNpODHQmWXsfBSZdecmAP9AE5aDa8J4Mfea5ls2cfS9C3YWo+FZvQ0kxgRK0BmNIjW2NoZ8bbBwZXffv1kcwsOGtDr+eznKEdYZlvDldbNlHrvolbN1vUYjTAy0GbmfVXuvYAX/WdhS83k2du/AQkR/hNJcGOEyVBMWo/3Zm1jG6WP7+SlpTMHL6TgaTYX9DHSZmJ2H8FSsrTAQxzoDcxcdsEcHvsgcWi0zA2QmsOtuo4nQyIIF8bE8alkO5NCXtdYgpulnHYbS+cWc8vsE6hqaKG53UvaGBtFw6CdyTCDwU7Rz2QYXgghzNH7O/NItXa7CO3C4pi9DS2GfksB7Hd5qGpooTjb0U+rEkIIIYQQQgghhBBCCNHfRkSg6IEHHuA73/kOEBrciRQiknCPEEKI4arBmzTYSxBi6Ho7QjsRwGnD/Izyol+sm/QT7vnkROpf64LXPqBYaSMhyUCYCMBdp53lP8JgbqQB5fGOJJ56vYYLf7V5SLRAFIxN4Y//cyEvrP8tc3ctZgIHIt5WzShEuWYtPDXfUFNLcMtQuW8eV1r1hZf86YW80rEAdBTPpKSNBU/s2/X048SnuTXxXm67/VF8hz9iyWMb+KTVpquZRA8jDRd6mzJUYP5DW2IGHmob27jr+Xe4/nPHLvOrKnsOuEPbWXoOzOsc0CuwHKTCdh9lSQ9w+fQT49riETzQZsHPRKUOJ624SGFvmNfGyPuqxp/F/b6v0UIyy6ZPwhouTBSpMcKEZnoHMGob2yjfWs3SufEJyxi2fbWxoM+XroWzbjHWZmJ0H+H4OqGztc8DoEYDM0OqZa6fuTzemI8VhkgQLgKrRaFkagEr1+/RvU24ZimrRZGBWDFwZBheCCHMM/I7M0q7sDjG1R7lv6tF0WxyOyGEEEIIIYQQQgghhBBDw7APFK1fv54777wzapAoXIBosBuLhBBCCDM+4Tj2qxnkKDqmqoUYTVQ1cqAo2wLZOgefxajyy3fs1Ktd3X83226DpynmTYIHlGsOt3Lpr7fGHGr/yWWnkJqUMDDNRWjhp29c9GU+/vxG3tv2Gwqr/0Ryx7FgRqCt56WWy7jsPyqLv3At9i0/133/wS1DbpIp9d5Fhe2+6OGPjEIspS/wqJqta7D/p2VXwNP3GQ5/5CmNPGH9GdauSyD7JD4/PYFXDAylR5KZkkjlN6dRnO0w9Prpacp4cP1HutpTAOqbQ1NW1/xuB/9tOHbMDBtkMzCgV2A5yPoZ72H58iW6bq+Xq92LgzbKrOsoSdgQ8vtnv5pBZddcyn3zcB9tjwq8r/459gHGtHwa8X5r/FmUeu+iheTI7TLRGiMMCg7T9VS5o5ZbZp8w8A0ofp8WlDLi4/Vwya/0h4nM7CMcT1OfB0DNBGb0hvuGWrDGjPIt1bqPJ4MehIuibGYha3fvG1XNUmKYk2F4IYQwx8zvzCjtwkLjHGPud22aye2EEEIIIYQQQgghhBBCDA3DOlDU3t7OjTfeiN/v7w4NRQoTBV+elpbG5MmTSUtLw+FwkJqaKq1FQgghhoVkeyKVXXNZZlsz2EsRYmjZ74dDEZplpJ1IhBFuwL+FMebuLEl/k4GRofbry9/o/nt/Nxe5PF7Kt1RTubPmaCPM2ViYTpFSRxqtNJNyrK3HDSvX7+HvaadSmZjH2M66mPdf48+i3Dcv5LJaNZv5ncu53rqOkoSN5CqNx6505MEZZTBtCdidFID+wf4pZbBpueHnIM3zWfegrpGh9GgaWzuxWhTTYZFITRk+v0rlzhrT6zrc0gkcW1OvdpYMu+EBPcubT8Ks78R1QG9s52e8mHh32NBZjnKEZbY1XGndTKn3LmrVbEB7X9V97Z+M/W85nTufIEs93L1NIBRX7pvXHSYK2y6jtzFCp+AwXU/7XR6qGloGrBHF51fZ29BCZ91/+bzR1qUYjWy9HNrT52anbmYHQP0+OLSHdVveJelIIxZit44FB2b0hPuGOzPHk0ELwsXgtNtGVbOUGOZkGF7EcvQ7DE8z2NNg3CR57YUIMPM70+hv2VFo4vhUsp1JIS3KseQ47RSNT+3HVQkhhBBCCCGEEEIIIYTob8M6UPSb3/yGmpoaFEWJGiRKTEzkK1/5CldffTXTp08nPz9/MJYrhBBC9FnhuFTKffO40ro5eqODEKPNWxHaiQBOlWHRkeIzxuP3w/GWhj7fV7QBf8MMlJ8aaYEI1ivwMTbF8H1EUnO4NezwtR8LH6sTIm73YbOFK5TvxmwZCm6D6clNMqt8C3jYdzkz0o/wfxcfT874LECFzhZwfQaJKWCx9hrsb2zrxNXuxWm3kZGSSHLi0X/eTl8Cb1WaC4McHdTVO5SuR3N7lOOTUUcHSz+rq8fp3kuDjnCEEYF2ln9cPY6UwR7Q8zRT+I9voMT4vVNgOUiF7T4u7lxOC8nkOO0UTsjDmv9DXOd+h2fW/4vNb39EVautOxSX47RzU7R2GSONETGEC9P1FNf3SARNbZ088MoeXnyrjsY2L1OUD1mbZOKOdDSyHbtts4kdRGD0/eVp1l7HN8vBXc/XgK8lhW+2CqdnYCZSuG8k2NvQYmhoFAY+CGfEaGqWEsOcDMOLSHp8h3Vz5GrB+elLtICREKOZ2d+ZRn7LjkJWi0LJ1AJWGmjrLZmWP+RC5kIIIYQQQgghhBBCCCGMGdaBooceeihss1BwmOiaa67hl7/8JdnZ2QO9PCGEECLuHtrwMZDMI95LWJH4OFKwJwTgV+HdCMPYRVZwxG/YXsBn6liyaSRBMZCiiYMORz5XH7odIGaAJZZIA/6ptJu7w063rpv1tVUGjgU+Xlo6My7D0HobkyKuJ0rLUM82mEgsCiydO5lFZ4zF8Z/fwcuhw5Odydm4TvkGGbOXYk1Op7Wzi7+/sz+oTUkT0uJU+gLexy/C1mp+UDfaULoRaWPiMLTeY7A0H3jFQDjCiNrGNv7+xgd81dQ6m+KyBgC2r0bRGeopsBykzLqOVb4FIQNtzmQ737j0Qq6ef4H+dhkzjRERRAvTBYvLeyQCl8fLypf38PS2anxBh20XJkOJ9nQDt43zsLPe91djVcSGqUjNVj0N5cBMvLlMBtoGIghn1mholhIjgNlh+G2/hgt/JoGSkSrKdxjueq2F861KKH0BMosGfHnDhrQ7jXxmj4FGfsuOUkbaevMzkymbUdj/ixoocuwQQgghhBBCCCGEEEKMUsM2ULRt2zZqa2tD2ol6thJVVlayYMGCwVymEEIIEXdnKO9LmEiIYFU+aI0Qbjmt/88+36VCwij5PNb4s/iRt4xLrVtZmLBlQPa5X83g2a65NB//TWobtLBKpADLQTWNRLpIV1oj3l+0Af/+HrA30wIRTm1jG+Vbq1k6t7jP92W2MSlYcMtQkVJHGq00k9LdBhPL0rnF3HZ6Ajw1J+zwZGLbAca9cT/73niG5z+/ij99bGNfU+/wV3CL02++cTpPeG/kfn5i/AEFhRaCh9I/OuDm6se2c6RN/xB9jtNO0fhU42sIFodwhFHPv9diLlAUrwE9E6GekoSN/M15ddiBNkPtMmYaI3rQG6aDOL1HIqg53Mo1j+0I+3nZq+axX80gRzmi/w4deTDOwHFn3CStTaGPz2c3Pe8vT3PkQewgPZutwhnKgZl4cpoMtPVnEC5eRnKzlBgBzA7D/7sCql+TQMlIpPM7jCPV2u0WvwZ250CsbPiQdqfRw8zvTKO/ZUcpvW29+ZnJVCyaOjJaH+XYIYQQQgghhBBCCCGEGOWGbaBo48aNYS9XVRVFUXjmmWckTCSEEGJEmfv9l3DQxjOJKyRMJESwtzvDX24DTur/wYbRECZqVFN535/PCZY6nk76+YDss8HvYFnXzWz1n4ofC+P2tHRfFy3AkoInbNgIRx6fnXAVF287JeLweH8P2JttgQinckctt8w+oU9NC/FoTArmx8LH6gRD2+RnJrPojLERw0TBJnCAy97+Nr/tXA5RQhq1jW1c9eh2cjtTIcnQcjRhQgtWi8KJuU6uP/tzrFy/R/ddBbflgPac721owdXuxTnGxsRYbRlxDEcYsaNlHF1js0loPaB/o3gO6JkI9eQqjVQuGNv3gTaTjRH/03kz+9TxhsJ00Ps9Ei+B9rFwYSLQPq+VXXNZZluj/07PKDN2hm6LVRvA27Rc/zaRpOZqg/MH349+xvDtq2MPYh8V3GwVznAIzMTDxPGpZDuTDAVe+zMIJ8So0ZfQpQRKRiYD32EcqYYdq+HcO/tzRcOLtDuNLmZ+Zxr9LTuKRWvrzXHaKZmWT9mMwpERJpJjhxBCCCGEEEIIIYQQQgzfQNHOnTtD/h5oKlIUhcsvv5yFCxcO0sqEEEKI/rEXuM36d+zK6DhbuhC6dKjwflf4605MgMRRkPYZAB5szLC+N6D7XOa9mdfUL3T/vbHFw5nJB/G3N+Mihb1HB/aDAywW/OQojbzuP4WXO89gbEoiFd84GWtyBowrprWhjZZtmyPus78H7M22QISz3+WhqqGlT80L8WpMMqv7jMb/+XXcAgABLR1d7CX+AbGymYWs3b1PV6tTfmZyd1uOy+OlfEs1lTtrQp7zbGcSJVMLKJtZiDPcMFYcwxFG+LGwZ8JCTv7wYf0bxXNAz2SoJy+pb+9nn1/l09YECk1s+1+10FSgLlyjUjzoaR8r983jSutmCiwHY99hRiFMWxJ6md+nhb+iBXymL9EG8PQOSEfizIMHT+t9xvDTr4MT5oLqh8RU2PWEobstSdjIw77LewXARlNgxmpRKJla0KewpBDChL6GLiVQMrKYaGdkVzmcc4cEJEDanUYrI78zw/2WFVEFt/VWNbTQ3O4lbYyNolgnxRhO5NghhBBCCCGEEEIIIYQQwDAOFO3duxclQj3Dz372swFejRBCCNH/LPi5LuGfg70MIYaWD7wQIU/EaYkDupSRqku1kGckkAGQ6IBOd5/2W89YABy0UWZdR0nCBnL8R7obZ/arGVR2zaXcNw/g2G2C1tpiGY+1+kZt0Mhi1dXC0OcB+yjMtEBE09zHxqN4NiYZMS41kWvPKtTOaJxoMTw8GSkA0FM8AmLhGoUqFk2l9PGdUcMa3WEpu42aw60Rb3/A1cHK9XtYu3sfFYumUjA2JegBGB8s1fvc6HHVW1/iH/ZsJqCjpSjeA3r2NHPbdbTEvk0YwYGvBlc7rycZC6LVq5lUqXmG9hn8Hok3ve1jbpIp9d5Fhe2+6Me8jELtjNyB4TlPsxZ2e7O8d8BnSpl2zA28hvY0bVs9g3rR1L0Z5gHUw79WaP9nUq7SSJFS1ysMNtoCM2bDkkKIPupr6FICJSOHiXZG3HVw6CPIOrF/1jScSLvT6KT3d2bP37LCEKtF6dOJTIY0OXYIIYQQQgghhBBCCCEEQBymjAZJff2x/wdbcLCouLiYE0+U/yeaEEKIkWeiUkeG0jrYyxBiaHk7QiAiRYEiGayLhwTFr//Gp18LS16HpL61OgSG8/OVA7yYeDfLbGt6DffnKEdYZlvDuqTvsS7xzrC3Se1s0M76vvocaKzqbmGIJjBgX+PPir5IE0NJevZvRFofG4/i2ZhkxMMlp7N0brEWpDAxPBkIAOjxnG8WXlXfP3v9SgJ88RpAC5g8uP4jzl6xgQtWbmbh6m1csHIzZ6/YwJ//Xcfvb5rGsvMnkeO0h9xHjtPOsvMn8dLSmRSMTcHl8cYMHwHUNrZR+vhO3J6gY1qcnpv8zGTSk42/1m6SKen4fr98FmIaN0kLpxj19zvA4zK0Sc3hVuY/tIWV6/dwwNXRHUQzorJrju4QV8/3SH8w0j5Wq2Yzv3M593sXUq9mhl7pyIPZP9DOxJ1ZpF3WWAWPztKOrT3fn+567fJHZ2m3C8gsgsWbtftKHt+HR9Y/0gj9fT0aAzNOu42KRVPJz0yOerv+DMIJMSoFhuEzCs1tHwiUiOHPZDsjnqa4LmNYMtvu5Pf1z3rEwAr+nenoEfAP91tWiAA5dgghhBBCCCGEEEIIIUS3YdtQ1NoaOvChqiqKojB79uxBWpEQQgjRv5xImEiIEG4/VEX4f+R/3gYjoFnApyq0YyNV6RyU/XepFmOBoo/Ww9TFxs+u3UNl1xxS8MRuzQCOUw5DrJe6qQZ+OxuWbNXVwhAYsL81ZT3XJb5KUntQQ4sjT2uxmbbEVIDCSAuEBT8TlTqctOIihb1qXndoIcdpp2h834Jb8W5M0iszJag9zOTwZM8AQCRftW7GpvM9bFG74D/PUnXyzVzzux3UN3t63aZno9Ats0+gqqGF5nYvaWNsFI1PDWk1Kd9Sreu1Bi1UVL61mqVzi7UL+vjc5DjtlEzLp2xGIRWbP4D2qhhbhlnT0c/C9dZ1lCa+SpZ6+NiVffwsRGWxak03m5Yb287gWaMjBb6MNJXV+LO6m9KiufeyU5hWNLbXe6Q/GG0fc5PMKt8CHvZdTpFSR/lVxRyflwfjikNbLzzN+pqGjlRrt1v82rH3hj1Ne11m3AYrT4bWBkNr7E/NHAt2jebATMHYFF5cOpMnt1ZTuaOW/a5jx8Dg48lofG5E34Vr/BtNLWBRBYbhX/4h7H7a+PYSKBkZzLYz2tPjuoxhSdqdROB35jl3aK+rp0n7bPT8LStEMDl2CCGEEEIIIYQQQgghRLdhGyhSVTXs5bm5Js5iLOKuo6ODPXv2sG/fPtxuN21tbSQnJ+NwOJgwYQKTJ08mMTEx9h0JIYTolpTigK7BXoUQQ8g7UQamvzAyhl2tiorPb4kdmOkHXQmpJHS1GNvIXQcH/tun/QaG82+wrtM1zK+bpwlWz8B506tULJoaszUmI3McFy56gKQMe1yHkgItENH276CNMus6ShI2hLQu7VczqOyaS7lvHiXTJvV5EDfQmLRy/Z4+3Y8RvYJQJocngwMAkVjwU5KwwdD9urf+lgvXnRSz1SjQKPTS0pkUZzvC3sbnV6ncWWNo/5U7arll9gnaa2vyubnnqhkk5Z4cEly54vTj2LnVeKAIgsIm7Zfzk7MT+cYX0wZmQG/6EvjPs1og0IhdT2jDhDrWFinwFWgqixVqbPKnsMR7Gy1Eb3UBmFY0NuJ7Jd7Mto/5sdDiOIG802YDfm3IztOsvRfHTYLtq2OHiQIihbsSEuHMG42HxfpJoBFPAjMap93G0rnFMcOSQujl8ngp31JN5c6akABztjOJkqkFlM0sxDmKP3Pd7Gkw/WZzgSIJlIwMgXZGI8PtjqPh39FO2p1EgMUqQQ+hnxw7hBBCCCGEEEIIIYQQotuwDRSlpaVx+PDhXpePHz9+EFYjALZv386f//xn/vGPf/Df//4Xny9CYwBgtVo55ZRTuOiii7jsssuYPn36AK5UCCGGpyr/BA6rDsYq7sFeihBDw9sRAkXjLJATPQwwnKRZerekmGG0bahDtZr8x0L44L8eNf4sSr130YbdcBBEF08TVFxBweLXorYwfH3q8Zw7aTwN7g46uvxMHD85roPU0Vog8pUDEUMMOcoRltnWcFXia6Sd/GJc1mKkMSkezp08nr0NLceaCUwMTwYCALFMVOpCAll6ODobKKCOj5kQ87a9GoV62NvQYrj9ab/LQ1VDixY8MTlY+vnTzugVpklJ7Ps//f1Y+PW7CVw9f9rABAvsaXDx/fDsQmPbuevhH9+DuT+KGsqKFfiqVbNZ4r2N3yf+jHQlfCNWuqWV1bZfUeq9i1o1O+J99QrS+X29wzpxDGdNHDuG6akH8LY29Wo3i+X6KZlYN/8C3iwPfe+l5kCnwZDprvLw4a7pS+CtSv3hpH7kP/06/jn9yxKY6cFqUQYsACdGrprDrRED1D0b/wrGxg4Kj3gSKBndzLQznlEWv98P/fzbpF9Ju5MQwgw5dgghhBBCCCGEEEIIIUS3YRsoGjt2bNhAUVvbwAzCiWP+8Ic/8H//93/s3r1b9zY+n4+3336bt99+mxUrVjBlyhS++93vctVVV/XjSgfG5s2b2bNn4M7ybsTpp5/O6aefbnr7J598krKysjiuyJjjjjuOffv2Ddr+hRhsXsXCi77pXJfwymAvRYjBd8AHByKEY06zgSJDwcFc6hicSruhbVJ85s7W2pJxEiSOJ7WzQfc2PlXhwa4FPOH7Ci0kU6zsMxwE0e1oa4bz3Dt7tTBYLQqbPmzg9ztr+dX6j7o36Y+z6IdrgfC4j/C552/nODV6M9Nx6gH401dh8Wtgd/Z5HXoam4LlOO1cdGoOL793gH1HjL2v/vjGp/zxjU9Dn1ODw5OVXXN0hSOchA+BxJJmYLuQRqEeXO1RWtSiaA5sZ7HSdPI1pO/4pf6NdQ6WjktNZH+7Fwt+Jip1OGnVFTwJCTwNhCST+3njMfj4FSh9ATKLwt4kVuDLQRurbb+KGCYKKLAcpMJ2Hxd3Lo/YVFQyLV97j3iatZafnmEdR642RDx9ifnBNui+f+ub5fyhqx6StIuD283cUdqUpqc3c9P7d0NTde8rW/YbX4+7Tmt463mmeHua9tpUXDG4oaKMQo67cBnYJTgjRLy5PF5dvy2CG/9GczsYMPiBEjH4jARuMwph2pK+77O/f5sMBAnjCSHMkGOHEEIIIYQQQgghhBBCdBu2gaKTTjqJDz/8EKXHsOjBg9GH70T8fPDBByxevJjNmzf3+b7efPNNvv71r7N69WpWr17N5MmT47DCwfHEE0/w1FNPDfYywvrf//3fPgWKhBCDK9Fq4YGur3KNdYOhlhEhRqRI7USgBYpECKNhIrM6xmQz//cNfLX1bG6x/UX3druPv44/HbyUlqNNPWaDILoFtWYEWhgG6yz6IS0Qmx4D9YC+DY8Gozj3TvM7P3om8gJPM3+/ehzlH9p4dudnYRubvjxpPF1+lbQxtu4mj9vOn8STW6up2FZNQ0unoV0HP6fPfONa8nUOT9b4syj3zdO1DxfmXqdmA9tFC9g4x5g7FqUd3c7l8XL1219itT8rbGNVT/70Qiw6B0ufKT2Fug0Pk/lBZUh4T0/w5MP97oELFPVlgPVItRZYiRC8ixX4KrOu0/W8gxYqKrOuY5VvQa/r8jOTKZtRCI1VkQM07nptgPytyqghqKii3H+g3exK6+aIbUqT0/1UJK7A0hS5tckUT1P4yzOLYPFm2PGodkx21x27zpEHJ82Hnb+N71qCZRRqz3UfQ5lilBvOjR79rHxLte6gcqzGv1FlMAIlYujQG7iN13dYf/82GSgSxhNCmCHHDiGEEEIIIYQQQgghhOgW+7TOQ9QXvvCFsJfv32/irLnCsOeff54zzzwzLmGiYJs2beKMM87ghRdeiOv9CiHESKCofppJ5amuCwZ7KUIMLr8K70QYBC+wQtqw/Yk77D3VcS7VRzpQDW536vEZXHXm8YxNseGgjUutr/fL+roFWjOOMnoWfbfHXPNMVH6fdmZwI3aVa9sZ5WmGTT+HlafAI9PhiQtJfXwmt751Oa+f9QYbbv4ia5acxbr/OYfysjOZecI4kpMS+FJ+BsXZju42nkDL0va7z+OFm8/mqjOPZ1xKoqGl1Da28Y1nPqDla8/hTy+Metsafxal3rsitsD0tFfNY7+aYWg99WomVWqeoW2aIwRTJo5PJduZZOi+cpx2isanAtow9vtHFEq9d1Hjz4q6XY0/i4cn/EL3YKllzXWc/OHDvZrAAsGTFxPvJl8JH2772d/f75/PQDiBs0abFQjehREt8GXBT0nCBkO7KknYiIXQwHd+ZjIVi6bioE1fG08gBOVxGdo3TZ/Cb2fHvP9Am1Iqx451VkXhhhmF/PWMd7C54hwmArCnR7kuTQtF3v4u3LwDbvin9uft78K8FX177SNx5MHsH2hBs6E8HC2GtjDfozwyXfv7pp9r149iPr9K5U5jx5PKHbX4/EZ/QY5AgUBJRmH020kocuQKBG5n/0D7zgoWz+8wT3P//jYZaNOXxP7cBEgYTwgRIMcOIYQQQgghhBBCCCGEAIZxoOiiiy4K+buiKKiqGveAi+jt4YcfZuHChbS0tPTL/be0tHDllVfyyCOP9Mv9j2YWy7D9yAshgLZObWj8V76F1PnTB3cxQgymah+4IwwcSjvRoHqx/fNY8LMwwdhvctf2p1m14UNS2vbxYuLdXJfwSj+tMEhQa4aZs+jH3aE92pnAjegRjNKlsQoenaWdhbfn/tz1WP51H597/iLefectrivfyVcefI2Fq7dxwcrNTP3Zer635i3+XXskZOjXalH4Un4GP7/yNHb84DxeuX0WV50xQfeSahvbeOI9BcuSzTRN+y4HlbEh19ermdzvXcjFncupVbOZkDGGK74UO/Tjx0Jl11zd6wCo7JqD3+A/k9MiBFOsFoWSqQWG7qtkWj5WixIyjF2rZjO/czn3exdSr2aG3D74ufnVmz6a2nQ2Rbnqol4dLnjSvc9mT/98BsIJnDW6LyIE76IFviYqdb3CVrHkKo0UKdrzmuO0s+z8Sby0dKbWaLZ9tb62CYgaggqrsQpWz4zcBNRDoE0pMzmR684q4M0fncf/+0oxSbsf179PvRx5ME5H44jFClknQv507U+LNT6vPWihpCWvh4aVzr1ThvCFeTG+R9m0XLu+sWpw1jcE7G1o4YCrw9A2gcY/wcAFSsTQFS1wG6/vsP78bTIYJIwnhDBDjh1CCCGEEEIIIYQQQggBQMJgL8CsM888kwkTJvDZZ5+FXF5bW8v777/PSSedNEgrG9meeuopbr31VlS1f88aqqoq3/72t0lNTeXaa6/t132NJl/+8pcHewlCiD7QQoHaQKyqWAd3MUIMprcjNGNYgZMlUDSYbPhMDeJnqYc5VdnLQ7aHKbAc7KfV9XC0NcPsWfRvmX1Cd1NPXJhtM9AZIujeh44zkVuaqpn9xk38snM5BLUBHW7t5I+79vHHXfsYm5rItdMLKZtZiNN+7HNntSgUjU9l054GQw8j8Jymf+WHuM79Ds+s/xeb3/6IqlYbVWoefizkOO3cNC2fshmFJCcm8PrewzEHlst987jSulnX+6rGn0W5b56hdQc3CoVTNrOQtbv36Qqs5WcmUzajEOg9jO0mmVW+BTzsu5wipY40Wmkmpfu5AUBVWfnKHu657POGHkMkgeDJKt+CXtf1y2cgkulL4K1K/UOvPQWCd1knhlxstShc9Plcyl/vfb9OWk3t6teXfw5r4VkUjU899tyYbR875w4tVBONpxmevtzYcQBYmr6F225/FGtXK2xfCW88Bm2HjK1RjzPKYj+GaPr62gOccQPknGJ+eyGCGW30WPzaqBw8dUVo7oslUuPfqBQIlJxzh/Yd5mnSfruOK+7bcVUML4HAbbz152+TwRQI4+14VFuvOyhA78jTfpdMWzIqj8tCiCjk2CGEEEIIIYQQQgghhBDDt6EI4Nvf/nbYYEtFRcUgrGbk27lzJzfeeKOuMNHZZ5/Nr3/9a3bv3k1jYyNer5fGxkZ27drFQw89xLRp02Leh6qq3HjjjbzxxhvxWP6oV1xczKxZswZ7GUKIPkhO0gY3yqzrOE45PMirEaL/+dQwg+peFd6PMGw4OQHsAzDcLiJqJsX0IP7V1lcHLkwU1JoxZM6ib08zuV26/tsaOBN5IEwSyeGWTlau38P8h7ZQczj0Ne/rc+pMtvONSy/kN3ffwm9uK+FPS2bwyu2z2Pr9OSydW4zDbtPd/uMmmVLvXdT4s6LersafRan3LlqCAlR6BBqFInHabVQsmkp+pna/FvwUK/uYonxIsbIPC35ACxNVLJqK42g4K9Iwth8LH6sTeFOdzMfqhF5tSn97uz6kPaqvShI2dq8x2IA2Seg9a3Q0YQI3Lo+XV94/EPbmLlJM7ebEz+VTnO0IfU/0Z/vY9tXQZCwQCWBr3Y/1k03HWlZajQUAdcko1Abv+qKvr320Nfh9cPB9qN2u/RmmxUqIXkZao0c/cUZo7oslUuPfqBauwU2IvhqoZtTBMBDtTkKIkUeOHUIIIYQQQgghhBBCiFFu2DYUAXzrW9/i//7v/2hsbARAURRUVeWhhx7i29/+Nnl5eYO8wpHD5XLx9a9/Ha83+tlCi4uL+c1vfsPcuXN7XZeRkcGUKVOYMmUKt956Ky+//DI333wze/fujXh/nZ2dXHXVVfznP//B6ZT/aN8XN9xwQ7/vY8WKFYwdO7bf7j8lxdxgnxAjxWdNnVjwU5KwYbCXIsSAcKvJpCs9wikfdEFnhA1OkyHEaBrUNMYrJltwdKhXM6lS85io1MW+cRjnWXeb2q4jJQ+r101Cp1v/RkGtGUPmLPrjJoEj19hwX1AwKiYTZyIvSdjIw77Le4VWgtU2tlH6+E5eWjozZhgmEgt+Jip1+Kq3gXK89lxYrFgtCsXZju7b+fwqew64cbV7cY6xce3ZBbraf2rVbOZ3Lud66zpKEjaSqzR2X1evZlLZNYdy3zzDYaLgRqFoCsam8OJNp/He8z+nqPY5sji2/4NkUpX/VU5Z8D0c6cd+65odxm5s7aSqoSXkeeuLXKWRIqWOj9UJva4b0CaJwFmjN94LO39rfPswwbvyLdXsO9Ie9uZ71Tz2qxnG2tYifR77q33MTLtAsL9+2/gwsV4ZhVoQKB6Dd9HOGG5mDZ5mLRTyZnno43fkwpQyrRXJbMCzv/h92vC3p1lb29FjpBhgI7XRox9MHJ9KtjPJULg4VuOfECKOBqIZdbD1V7uTEGJkk2OHEEIIIYQQQgghhBBilBrWgSKHw8EDDzzAddddh6IcOwNwe3s7y5Yt4w9/+MMgrm5k+X//7//xySefRL3Neeedx5o1a0hL0zd8c8EFF7Br1y4WLFjAq6++GvF2n3zyCT/+8Y954IEHDK15sDz55JM8+eSTA7rPxYsX89vfRh6ss1qtXHfddf2+jquuuorCwsJ+348Qo1F7pw8VOEGpMzbcKsQwlm5pxatasClB7RhvRxhgH6PACcP6p22/q+g6j5KEjf12DKnsmoMfi6lB/AbVyXjFZXif5d4LuP/w13DQxjr7XaTpaUfq0VgxZM6ib7Fqw+ybluvfJigYFZOJM5FHC5MEq21so3xrNUvnamEKvc+pgzbKrOsoSdigvV/+EbgidLDf5fFSvqWayp01IcPJ2c4kLjo1l1f+e4B9TeGDIQFuklnlW8DDvsspUupIo5VmUqhS86IGpiLp2SgUVWMVzoormB6m1SKLRrJqH4Wn/qmFHzKLAG0YOyPZxpE246GdeAd9In2uBrxJwp4G81bAe3+Flv36twsT9PH5VSp3Rm728WOhsmsuy2xr9O8n0uexv9rHzLQLBOtrmCjRAUmpPUI5edrzMG1J9DCR0YBM4Izh59yhtSN4mkBJgL3r4c2nQkNG0dbQWAUVV4RvmHHXa8fftypDPouDKt7hJwkm9U1fGj1G2WBqoEVw5fo9ureJ1fg3qOSzI0aagWhGFUIIIYQQQgghhBBCCCGEEMPGsJ+6LC0t5a9//Str165FUZTulqLnnnuOiRMn8rOf/Wywlzjsvffeezz88MNRb3PWWWfxl7/8heRkY2f1Tk9P529/+xtz5sxh586dEW+3atUqbrzxRk466SRD9z8atLW1xQzPXXTRReTm5g7QioQQ/eHprVqo06lnWF6IEcSm+HGrdhyKB1r8sLcr/A0/nwDWITqEOATU+LN4wvcVQDE2IK+TmlHISy2XgdvcIP563+lcnbDJ8H5f9J9FC8m0kMwlHfdSYbuPAsvByBuEaawYUmfRn75EG2YPN+zeU49gVEwmz0SuK6QFVO6o5ZbZJ2C1KLqe03zlQOTXK2iw/7NLKrl6zcGwLUQHXB2Ub61mQsYYbphRyN/f2c9+l6f7+rEpiRxuDa0082OJGZCKxqooLPlyEUvOnagvTORpjhxgCHakWrvd4tfA7sRqUZh/Wh4V2yOHXiIJG/RR/b0v06mZ3i2hg9YkYbHCGTf0OXi3t6El5me+3DePK62box9TAqJ9HvurfcxsuwCAYunTewKAGUtDAz72dG3N0Ybs+xqQ6XnG8OPPgFnf1bcGk59F3eIdOIhn+Gk4tjINRaOh0SOOymYW6moRBP2NfwNOPjtipOrvZlQhhBBCCCGEEEIIIYQQQggxrBg/FfMQ9PTTT3P66aejqipAd6hoxYoV3HPPPd2XC3PuueceuroiDO8CmZmZ/PGPfzQcJgpISUnhT3/6E+np6RFv09XVxU9+8hNT9z/SPffcc7hc0c/ov2jRogFajRCiv7z0rjbo4Qoz1CvESOdQjgYE3vVCpJ91pw1wU8YA6lKj/2T3xri+xp9FqfcuWkjmOd+smLc3qsl+HC1fe47Lph0Lfpf75lHjz9K1fY0/iz/4Zpvad3DQoVbNZn7ncu73LuSgMjb0ho48mP0DbUC8x+B14Cz6RvTbWfTtadpweEZh9NuFCUbpum8TwoVJwtnv8lDV0ALEfk4dtMUOf0H3YH9j46GoN9t3pJ317x9k3W3n8Mrts1iz5CxeuX0Wj3zjdF1r1ys3zc4ry2bx3QtP1BcmAm0QWU9ADLTb7Vjd/ddlF0zCqhh7n/UK+niaYdPP4enLDN1PQL2aSZWa1+vyQW2SmL4k9mckIELQx6WjxclNMqXeu2Ify2J9HgPtY0boaR/ryxB7X8NEgec1EPDJn679GW3NjVXw6CwtCNNzgDkQkHl0lnY7I/SuoQ+fxagCn7GVp8Aj0+GJC7U/V56iXW4mhGI0/OSJ8t8D+ut5H42k0cMQp91GxaKp5GdG/2+Fhhr/BpJ8dsRI1l+/TYQQQgghhBBCCCGEEEIIIcSwNCICRWPGjOHll1/mzDPP7BUq+slPfsKcOXPYt2/fIK9yeKqqqmLt2rVRb3Pvvfdy/PHH92k/BQUF3HPPPVFv89xzz1FdXd2n/YxETzzxRNTrs7OzufjiiwdoNUKI/nKkRWtY2KvmsV/NGOTVCDFI3o4wAJ5pgeNG7nDT6q5LuN+7kHo1M+TyejWT+70LOafjV1Gvv7hzObVqNgBftW7GpvRxkLzH/c9suoeLKz7jvJOzuodG9Q7i7yObUu9dvKNOpEE1NqgbLujgJplVvgVMb3+QZ07/E9zwT7h5B9z+Lpx7Z8SB/7KZhTEHXgP6/Sz6mUWweLMWgHL0CHJECUbFFDgTuQGRwiSRvPtZMz6/9u+xaM9pmXWdvtYX4Dj1AGXWdTFvV9vYxtPbaijOdnBGYSbF2Q4ykhN1rz2a1KQElp0/iZdvn2Wslcfvo+uN6L/Ve9lVrjWdABnJiVx7dh/CbsHD0K0NxtZxVGXXHPw9/rPBoDdJxCF45wzX4hRGcFCx5zHW0OcxDiGoXkx8pgFw5BjfJpiZQGM8AzJmdHXCG48Z2ybosxhRfwUO4hV+GuznfaQx85kb5Y0eBWNTeHHpTJadP4kcpz3kuhynnWXnT+KlpTMpGDvETpohnx0xGvTHbxMhhBBCCCGEEEIIIYQQQggxLI2IQBFoLTkbN25k/vz5vUJF//rXvyguLmbRokW88847g7zS4eXhhx/G54s8RFNcXMxNN90Ul33dfPPNFBVFHsTy+Xw8/PDDcdnXSPHxxx+zefPmqLe57rrrSEhI+P/s3Xl8VPWhPv7nzGSZLDNZCEmImIRAcEFtFRoiBCwgLpW6t7XRqJF7hUpNBXtd++vyvb2obS0K6oVrIUpsWq1LrWCxAkUMShBQEEEDxCRCQhJIyGSbZDJzfn8cJmSSWc45c2bN8369fEXmbJ/McmYGPs95AjQiIvKX+FjpLdsOHf4yMDfIoyEKglYb0OQmCHNJNKCwxSNc1NvTsdr2fayy3YyZfStxZd/v8OKk/8VV/b/DzL6VWGW7GSeQ5rT8lr5f4cq+s8u7IIU6dLCjOGqLJuMqH7jKaf8NbT34ySt7sfqOywZDJJ4m4g8kjAPmPI53Cl9Fg5iBBFgQLbpvxHTFVdDBwQ4dnjsQBdv46d5bMxCCV9E3JEkBqKUHpECUzGCURyquRO7pPnZl6Wv7MOPJLXh282EAcHmfqnkeFkdthQ7eg3CV1Q2DgSYAmDg2ERmmWEXHGm5ckgFVD89B2bx8xY971/GDiOo+oeyAnY3AycODf1w6fzLGp8TJ2tQp6CN3MrQH9fZ0lNuuGXGMkGiS8DF4p+S54Qgq3hKzBraf7FT3evRH+5iadgFDMnD9c8q2cYgfqz7Q6K92IG8c7UF/vEB5qG7Ya9Hlvv0ROLDbgD3lckcpcRd+Ctb9HqnY6KGKyRCNsnn52PHIXKcWwR2PzFX13hoQfO3QaODPZlQiIiIiIiIiIiIiIiIKK2GdMmhoaBhx26pVq5Cbm4vnnnsOgiAMhor6+vrw0ksv4aWXXkJeXh5mzpyJGTNmIDs7GykpKUhNTUVsrG+TzeTKzs4OyHF8ZbPZ8Je//MXjOkuXLoVer83kiKioKJSVleGBBx5wu05lZSWeeuop6HQRk4Xzibd2IgC45557AjASIvK3i85JwlctPQCAD+yXYCk8t8cRRRx37USAFCiKQPX2dJRYHx0MBNmhQ5dxEormfQf/c+DDEevbocMRcbzb/U0UGpEptGsytmv0u/HfA3c63dbQ1oPNh1qwoawIL+2oQ2V1A06YgVW2m/G87UYUGE/hlgsS8L2CC5CQdQGg0+N2ixV/2X8aN3a8iWRdt+zjnxYTRgQdhjthtqC2tQv5GUZZ+3RcRf/s2C2DyzJNBhRPz0bpzNzATnzV6aVAlFJ2G3CyRprwbkiSWhV0eulK5PsqZU2SdRUmkaPZ3IcVm2vwxt5jqFhYMOI+VfM8HCe0IU9o9Pj8BkY+5nqdgOKCHKzYXON2Gx3smCg0woRumJGAo2LWYIjKEZ5JVtl09O4nX+KHaja0nB78X5MhGn/+j+koWbsLDW09bjcZEfRRMhnaheHnn4QYPW6ZOh5XXpCOvgE7bHbxbBNSsDiCd7MelIIfltNSYCYt3+sEfjnPjeFuK5wAfYYPTSOOEFT1GikA0tl4dpkxSwoeTF+sbMKugtc0DMnATz6SGoqM40Y26niSMBZYehCIUvFaUBuQmfWgb0GMtlqfQ3VDX4sjqAkcXPGQ93VP1ih7bICz4aeh7xfBut8jnZLXHBs9nOh1guzPZEHF1w6NJv74bEJERERERERERERERERhJ6wDRbm5uRA8XI1+aFPR0D8fPXoUtbW1qKio8P8ghxEEAQMDyq6+Hixbt25FU5P7iSwGgwF33HGHpse866678NBDD6G/v9/l8sbGRmzbtg1z57Kdw2az4eWXX/a4TlFREc4777wAjYiI/GlypgmAdE7Wy2hpIIooogh87iZQdK4eSImsoHGTmIrKgbkot10zOJnfoXh6Nrr71H2WNEF+YMcbdwGPyuoGLJkzCWXz8rFkziTUtnaho9eKpLho5I1NHBFAMBmiUVE6FfEv3AOIkK0fUeiBwet6Hb1nnjfuAjbDOK6iL2fsIcnSIU1y31PuPCHdOE5qVShcLF1h3Msk++FhEjUa2npQsnYXNpYVOd2ntrqPgX8q31+SzOfv4GN+RmlRLt7Ye2xEGMeIHpTqN6E4aotTwOmEmIJ/RF0Ne8Fi3H7FRaoDZDa7iDcPdqoLFBmSB//XbLHi7582otfq+nWfbozFHYU5zmE3NZOhz3B1/kmMjUJcjB6vfPw1Pt65AyZ0IzohGTOmz8DdsybCFOx2CZXBO3fPDVec2p984UMIyu3+ZLymkZwD3Pl3IOkc6c9TS4Fty+Ufp+BedWEiQLuAjBIaNHQBcHotOvE1cODpPcnSoW6sw8NPwbjfRwO5rzk2eoSP4a9Hu42vHRpdtP5sQkRERERERERERERERGEnrANFwNmQkLd1HG1FSrYb7d555x2Py6+77joYjdpeXTQ5ORnXXnst3n77bY/jYqAI2LRpExobGz2uw3YiosjRNSRAYEZCEEdCFAQNNqDDzWe3CGonOikaUdz/CxwRzxlsSBnKMaG9qcPiYmvvtD53uAp4DG2IkXsl+hzxOCC2KTp2utAhq7EmRdcLbHvKc8DGkDRiu5C4ir7MENQgT20cnU1SeGBfpTTB2cOVyE9feDsW7b8UDRqUWTW09aB8Rx3K5uWfvU+Fc1Xtq0Pm8zcpzvmcYDJEo2JhgVPDT7bQjIroJ5CjaxmxfabQjnttfwW+3Al85y3AkKdqvEdbu7CrayxOxKYoamSyJmQiOk1qwak/1e21mSg2Socbvp3lHHxSEyQAcE//g9hmv9Tp/BOlEyD0mfHjgU0ojh0SvhoATlSl4G+7rsH80l8hO2uc4uMFm6vnhisj2p+0oLZ9zBU17QKBbFnRKiCjhI8NXQCk+y7NTSOV2rBO417gyFbF70myDA8/BeN+Hy3Y6BEZ3IWw48eo3N9pTYZFFDRafjYhIiIiIiIiIiIiIiKisBL2gSJ3DUXDA0ND/zw8XBQo4RZi2rx5s8fl1113nV+Oe91113kMFL3//vt+OW64Wbt2rcflRqMRP/yhqmuiE1EI+rTh9OD/HxWzcEJUNkGZKKztc9NOpAcwJXICRS8PXI0a0XXYYlySYXBCe3xMFDJMsWg29ynav9bnDncBj+ENMV6pnPTsrbFmqvE08t76nryATaq60IhfyGkZGj7hXG4bR3udtN6iD91eiTxZp8dfr+jHzKe2orvP5vOv42itGmx4Spss/S4KJuM3iamoFbO8rpdpMiBvbOKIMFZO2mRsKCvCSzvq8PbOQ1jX5zpM5GTofaViUri51wo7dKgcmIdl0a/L3q5l8o9xjk4Ps8XqNegCAN+09w42QQ0GXlS+pjrERKcwUUKsHmP6G1ER4z58tdD6Fxx/cSu67t2AxHGTVR03mHLGJAw+NyqrG3DCfDawmWkyoHh6tnP7U6hS2i4QyJYVrQIycvnQ0OVkWqn7EKfasM6rdwCdJ0bePvQ96fbXFZ8jXYafAn2/jzZs9AhvnkLYPafU7ZOvHSIiIiIiIiIiIiIiIiIKUyMvfR6GRFEc8Z/S9f39X7hpamrCoUOHPK5z5ZVX+uXY8+fP97j8iy++wIkTLibhjCKtra3YsGGDx3V+9KMfISGBLSZEkaJ/4OykbscEZaJRYUAEDroJqORHAXG+hcQHxND4OGwVBbxvn+p2+VO3XIycMdL7ul4noLggx+P+dLAjXziGqcJXyBeOQQe7pucOTwGP4Q0xntjsIuq61V3jwFNjjRE9WKf/HwhyAzYWs6oxaK6tFlgzW5pYPnwyuWPC+ZrZ0npDKWnjaK8DqldL/++4Enl24dkrkrccgrmmCln99dDB7stvA+Bsa9UgnV4KRilQOTDXZWvXcHdPTYV++++AFVOAFwqBdVdLP1dMgWnnH1E2Mx3vzzjoPUzkMPS+csFmF1HT3InddW2oae6EzX72e5/pzOvgZdtVaBRTZR2u3p4Oy2X3AgDKq+q8hokcHE1Qg1QGCYa/pnR9nW6bnIY6R2zGwMs34sg3jS7vi1BnMkSjbF4+djwyF+8vnY3XF1+O95fOxo5H5qJsXn7oh4mGGv6a9hRscLSszHlcCqQMZcySbl/0oe+BS0eIUAlP7UDeqGzocuKtlUltWMdVmGio9jrgz7cC3ypWtl9X4Sd/3O92G9ByCGjYKf20+x46DXtKXnMUGuSGsJXw5ZxFRERERERERERERERERBRkYd9QRP6xa9cuj8vPPfdcnHuu6yvo+yo3Nxfjxo1DU5P7SUCffPIJvv/97/vl+OFg/fr1sFo9X/1/4cKFARoNEQVC7LB37Pftl+F+8U1EC75P9iYKaTUDgLsinkvUT/JuElPx3sBU3B0dGs2H0YKINdErcF3/cnQh3mmZDnbk2BqAhlppEnPaZJQW5eKNvcdGBA6M6EGpfhOKo7Y4NRGdEFNQOTAPf7PNxi367fIDFW64C3gMNsR4YbZYUV5Vh8pd9Wg19+KjWGXNSd4aax4wbkGS5bi8nTlCI1c8JPv4fqGmZchgUtfGsbtcalVwTHwe1oqUDeD92LPPm3LbNegc9rxUYkRrVeFiqYlDxmTe40IGym3XeF2vMLkD9x56DDjtYp9nwlj9e16BYO1RdlWN4fcVnJ+/Q5vCMkyxKC7IQWlRLiYabXgs4W1cP/AvWc/tens6lsb8Cv8TlYjq2lNY/7GL38MDpyYoDVqgdAJQqtsk+1yRbDmOtav/P6yy3QzA+b4whUkgR68TkJ9h9Mu+bXYRR1u7YO61whQXjYljE8+2dgVTIFpWHCHCbcvlb+OpHcgbte1BDnJamVS8xmRrrwOEM+OQE3hwF37S8n5X05xHFKqUhLDl8uWcRUREREREREREREREREQUZKFxSXYfCYIQ8v+Fm71793pcftlll/n1+NOmTfO4/NNPP/Xr8UPdunXrPC6/8MILUVhYGKDREFEgDNjPvpcY0YPV0c8wTESjw343AVoDpIYiFe7pfxAz+1biHfsM9ePygxxdC0r1mwb/bEQPyvRvYqehDDmvzhvRtvLKHedjfHLc4PrZQjM2xDyGZdGvjwgwZArtWBb9Ov4a81s8bP1P1NvTVY+z3p7uNuBRPD3b6yT5+lPdWLCyCis216DZ3KeqOclTY01uSizuivm3ov1hd7m8pgV/tjOobRlS08bR2SiFBwCPrUiO582GmMeQLTQrO8YQI1qrDEnShP2UXM8bnpnYn5qa5nG1C1JEVMQ8CZ2rMNEQMZ0NiLac9DpeJ0PvK4x8/g7VbO7Dis01uPeZv8G+ejbutb3qNUzUJKbiaeutuK5/Ob6ypuHaZz/Ej/5vJ0519ysaplMTlBYtUKIdxVFbFO2jOGrrYKuV475YsLIK9ae6Fe0nkpgtVjy7+TBmPLkFV63YjltXf4yrVmzHjCe34NnNh2G2eL5IRMD4u2WlcLH317uDt3Ygb9QGWxLGym9lUvEaU+SzvwC3vyH7HOk2/KTF/a62OY8oFKkJYXvj6zmLiIiIiIiIiIiIiIiIiCjIwj5QJIpi2PwXTj777DOPyy+55BK/Ht/b/kdzoGjnzp04ePCgx3XYTkQUeYa+jZTq5TcGEIW1HjtweMD1sinRQJTy0HaTmIpt9kthhw5mJPg4QO05JuQPDQelo815pTMTeLP/dg3+edd43DMzF0lCLyqin/B6bsjRteCp6Bfx0+j/RtNlyyAah7X8CJ4nkdfb01FifXREixIAZKfGo3RmrsftzRYrStbuGtGsVG67RnbIyZ6ci4TZP0WmyeB0e6bJgGXzJ2NjcQaiuk/I2tegYaGRESwdwLangBVTpFDXkHAXtj3leyOG2pYhu039sS2nZbci5ehaUBH9BBLR43E9V3QCsHF/02BwwmYXUdPcid3mZBy56V3Yv/sYMPx5aMwanNh/Tt4UbCgrwrL5k90+5n+fuh/R5nrFY5PNchqA++ev09DRg6d6fiVrPI32VFzd9yRW2W5GF+LR3edbQO3A8Q7Y7Gc+MCgIEgwPCWYYYzFRaFTUGgYA44Q25AmNTrc1tPWgZO0udIZKcCaA5ITPRk3gSmGI0GM7kDeO9iAl4scCSw9KbU1yj60krKNUZyNgHwAWbZfOhR7OkR7DT77e70qb8yxmz+sRBZuaELYnWpyziIiIiIiIiIiIiIiIiIiCTN1l3UNEebnGV5WkQTU1NR6X5+fn+/X4kyZN8rj88GEPEz4jnLd2oujoaJSUlARoNO61t7ejtrYWx44dQ2dnJ6xWK+Li4hAfH4/09HSce+65GDduHHS6sM81EgVEakIsAEAH5Y0BRGHriwHAXRHXJdFuFng2tIXjqJiFE2KK4knz/jROaMPFwlGsjH7ee3CwvQ7G136AXy76EP9leBtxO+QFDXN0LaiYdgTJ1/4KsP9CCtJYTgOGZCAxA/jkRSms0nk2GNAijEFF/xyU265xGyaqWFgAo8Hz41JeVecyjNGJeJRYH/UeikrJha7kLSxOzcN/zhdR29qFjl4rkuKikTc2UWpHatgp634Y4UxoZIS2WvcTqh3tDPsqpQml3lot3PGlZUhtG4chWVErkqNBa5XtZkWHsYvAM1sO4/W9xzD/ggy8e6DJKVyRYZqK279zA+65YACJ9i5pXGn5Tg0pJkM0yublY8mcSSMfc9iBFesVjUkpW2wS9HD//B1KSeg3S9eGu/T/UnyfurP0tX14ctOXKC7IQWlRLkwlb3kNAwwPCWanxuP/3TAFq17ar2oMSRgZjmlo60H5jjqUzfPvd8hQIid8BpwNXG0sK/J6/gx1NruIo61dMPdaYYqLxkTHOdkhNU8KyFSvGfEeA2MWMK1UavnwdWK+oz1o23L520y/F4iKUXYcR1jHW+DGOE5dgMFyWmqLuuIhYNaDzu/Vw86RHvlyv6tpzrviIXnrEwWD2hB23Big99TZP2t5ziIiIiIiIiIiIiIiIiIiCrKwDhTdddddwR5CRBJFEXV1dR7X8Rb48ZW3/XsbX6Tq6enBX//6V4/rXH/99Rg7dmyARuTstddew/79+7Fjxw5Zj1FCQgK+/e1vo7CwENdeey1mzZqFmBiFE7mIRgnhTKpCTWMAUdja76bRIlkAzpU5kXaI4S0cduhQOTAPy6JfVztCv/ix/t/yW8ja64CdLyBuv7JARfLBPwNXPypNSE4/33mhi8nLhsRcRH/8DRKrG9BltgyummkyoHh6Nkpn5nqdDG+zi6jc5b61pUHMwIL+5bhbvwnFUVsxThjSzORi4qZeJyA/wzhyR74EbIZT2s6w6MMRE0u9TrJ3HEcNy2lg/HeUT1g3ZkmTzBW2IhVHbcXzthsHQ3lKHGvvRflHdSNubzb34Y9bjuL1T6VQWs4Y981hLh/zFo3bBoZpElNx858a8MMCPf6yq8HjumpCv77cp644mm/e2HtMuj8dQYL9G53Wa0MSXrRePhgSHPpajo+JwuqEZMBNQZwnHW6a3yqrG7BkzqSRz32t2W1SQM/SIZ0L0ibLD15oSE74zCHcA1dmixXlVXWo3FU/LCwYezbc5nh/MCSdfY9p/RI48TkAAciYAqRfoN1jVbhYCnrKCcOk5ErvLWrICetMnAv8aZ7yfQ99T3L1Xq1oX0nKg0lqm/NmPRiU1xyRLGo/I979jtTiqSbUR0REREREREREREREREQU4sI6UET+0dzcDIvF4nGdrKwsv47B2/67u7vR0tKC9PR0v44j1Pztb39DZ2enx3UWLlwYoNGM9PDDDytav7u7Gzt27MCOHTvw9NNPIyUlBXfddRfuu+8+v7dgEYWbljMTNE0urvxPFJFO2YBjNtfLLokGBGWT0q2iDg9b/3NEu0657Rrcot8uP8ATAFfq9yrb4JM/Ad2tyrZxtNu4m6A8bPKyCXDfECMzIHC0tctpsrnLYSEeq2w343nbjcgTGpGEbvzxziuQc9635U/cTJusPGCTOE6aHDqcD+0MiifZq9FeL2172V3AB0/K325aKdB2VHEQZ5zQhjyhEUfE8QoH6p3qpha1YSyZKgfmoqlvAM9u8d6Qqib066/71On+vOIh4Nv3Ats+GFyevOhdXN8fhSvcvJZnTJ+BE1XKGtyaxFTUiq6/x50wW1Db2uU6BKgFS4f0et1T7vy8No6T2moKF6t/nSnkLTzpSsACVxqrP9XttolpRLjNERYMxGMltz0oJVdaz5eGEW9hHbtNXejT1XuSr5QEk3xpzvMl/ETkT2o+IxqzgLHnM0BERERERERERERERERERBFLm8sgU0RpbGz0uk5mZqZfxyBn/3LGGWnWrl3rcfn48eNx9dVXB2g02mtvb8czzzyDCy64AP/xH/8xKh9jInf6B6RghdnNlf+JIs7nbtqJAClQpFC0YMdT0S8iEc6TnjsRjxLro/jGHpx2v+FOwoQ0waxsI6VhIoePn1McxnA0xEzLTUV+hlHR5Hdzr4fHdBg7dDgijsce8Ty0xk0YnMRps4uoae7E7ro21DR3wmYXR26s00uT0pXo7wS2/8H5/lDbzmC3of5UNxasrMKKzTUjQlSOSfYLVlah/tSZkKhjgqtSb90LvFAojdNVw5IrjjYOlUGcJD8GWxvaerB621FlG/kxJDK81cwbtaFff92njuYbAIDg/NVfp9d7fC3fPWsiNsbI/90BKXzlqWmpQ8E5QJG2WmDNbGDb8pGTxDubpNvXzJbWCwA54cnhHIGrcGK2WN2GiYZyhNs6LdbAPlaO9qA5j0uBgKGMWdLtiz6U1tOCI6yTXSj9dIQP1LwnTSsNfnjBl+Y8olAVrq9HIiIiIiIiIiIiIiIiIiI/YqCIRjh16pTH5SaTCbGxsX4dQ3x8PBITEz2u422ckebw4cP48MMPPa5z9913Q6cL/5e1zWbD2rVrMWXKFFRUVAR7OEQhoXdAmjR/VMzCCTElyKMh8jNRBPa7mXh+jg4Yo25SX46uBT+Peg1Tha+QLxyDDnYAQIOYge/1P4E/DVzrcTJ8ICR/+4bAHezTioBOsjfFKQ+CAUBSXDTMFiue3XwYM57cgqtWbMetqz/GVSu2Y8aTW/Ds5sMwW4Y9XwoXS8EZufq7Rk5kV9nO0NV4SPkkezUTXIfqapYmceu8FNAObeNQGcTp8HOwdfUHtcqCFSrCWC1iEurtnptO6+3pKLE+OqLVzBO1oV9/3qeV1Q2ug3demAzRmF/6KxwXMmStLyd8laTyHOCRpcN7Cw0gLa+4CbAoDGyqoCQ8OZTfAld+Ul5V5/U859DQ1oM/f3Ag8I+Voz1o6QHgvmrgnvekn0sPSLf70kykhJL3JEfoM9jUhjXlhluJgiUcX49ERERERERERERERERERH4U/skD0lxbW5vH5SZTYCbdeDuOt3FGmnXr1nlcLggCSkt9mIgagk6fPo0777wTS5YswcDAQLCHQxRUAzYp+GCHDpUD84I8GiI/O2YD2t1MgL84xqdd3x31L7wR+xu8H/sQPoq9H2X6N2FEDzoRj/WmRWhe9AVej/oeTopGn46jRkfsOET1d6rbOD5N3XbtdcBLC4DednXbKzBxbCIyTMpC6ZkmA/Q6QVnbDyBNhC55S1moCHCeyK6yneHdXYcUTbIfbJBRGoJyxT4gTeY2Dmv7dNXGoSKI0ySmolbM8r6iD2yiiNv/VC0FreRQEcaqGJiPBf3L8bT1VjSJqU7LmsRUPG29Fdf1L0eDKC9M46Am9Ovv+/SE2YLf/OMLdPcr/yydnTUOpns3oMNwjsf15ISvMk0G5I31fMEIVXau9h5QcWivg2XH89qPYRhfwpPhwmYXUbmrXtE2ul3KHitUr1Y8LvcHd9MeFChy35OGhj6DTU1znjELSMv3z3iItBKOr0ciIiIiIiIiIiIiIiIiIj9ioIhGaG/3PKHUaAzMBFtvxxlNgSKbzYb169d7XGfOnDnIy8sL0IgC64UXXsAtt9zCUBGNaomGs60T79svg1XkWzhFMHftRDoAF3lpYFEgU2jHsujXsSHmMUw1tqNiYQFe+6IbP++6AwV9/4uF/cs0O5Y3jRgDYwyAg39Xt4MJs9Uf3HwcWHERsO0p1SEaOfQ6AcUFOV7X08GOfOEYpgpf4d7z+3DPup3K2n4cUvOARdulIE2Mgs+vjonsKtsZ3jykoF0HQxpk1IaghrOclgI23to4VARxKgfmBqTFq6nDcjZoJYeCMJajSacT8Vhluxkz+1biyr7f4Za+X+HKvt9hZt9KrLLdrKiZyEFN6DcQ9+n6nfW475W9qrY1jpuMpAc+hv27j8Ga4BxUUxK+Kp6eDb1OUDUGt+w2YE+5ok3MVS+ivtW/LUVqw5N+CVz5ydHWrhEBT090sOP6gfeUHWR3ufQYR4qh70nGYSFCV6HPYFPTnDetNPBhLSI1wu31SERERERERERERERERETkR9rNyKSIYbFYPC5PSEgIyDgSEz1PqPI2zkjyz3/+E42NjR7XWbhwYYBGM5LBYMCMGTNwySWX4OKLL8aUKVOQlpYGk8mEpKQk9Pf3o62tDadOnUJdXR22b9+O7du347PPPoPdbpd1jH/84x8oKSlBZWUlBEHjyYhutLS0oLW1VdE2R44ccfpzV1cXzGb/Tlqk8NDd3e3xz96cmyCiJU5EAixYFfNn9Arj0KvlAIlCxYCIxC8Ou5xeb52ciN4x52p+yBQAz8WuRZx9Lv6172tkxokABBzCpaiNuQBpgv/O462iCe/bpuLKqH3osrYBXppA3DpaDcSdC4jy3ldd2vkycPB94PsrgaTx6vfjwQ+/PQbbDsSiqWPk57gEWHCjvgrX6Xeevc9rgO+KJmxMLMTfbUXohsHtvvt7u/HK9i9xe+HQ0JIAfPteYP9GoFvBe/r+jcAlC4Ex31a03UBcGhpOjznzHJLJ2ouD9SeQMyYBiEoDbv8nsP814Iu3lI15qM//CVy6GDCcmSTb5eY956IS6TE3e/6cCQCN9lRsFK5FJhT8bj7412df485p6dDJ+twnADf/Bf1/vx8x3U1u12q0p+LRgf9Eoj4OiYO/h4AunANHDCwdAHz4HTfiWnwv+itk6bxf/CCQ96m1z/lTg7LPIQJw2U+ASxeht70e6OtEjy4eP91wEsfN/UgEhtyfI41LMuAH3xqj/WfitlrAqlN03jQA+E3FP/CLO7+HhBj//XXIXdMysP5j+Q0+d01LR3eXyoa6IDjV3qHoPJcjtCA+Jh5mJUE9K4CGA0DqBOUDDFmCdG7+9r3AmdcSYo1ASg4g6IB+AP0h9N1RwXsETFnAlBKA330pbITZ6zEC+Pp3IkRERERq8XMIERERBRM/ixAREVGw8HNI+DKZTN5X0pggimJgZoRR2Pjd736Hhx9+2O3ywsJCfPzxx34fR2FhIaqrq90u/93vfof/+q//8vs4QsHNN9+Mt956y+3y5ORkNDU1wWBwP8lWCy+99BJKS6WrFKelpeGWW27Bddddh3nz5iE+XvlV3L/++ms8/fTTWLduHXp75UUjnnzySY/PTy39+te/xm9+8xuf9rFy5UpkZ2drNCIiosiXWV2N6U884XLZJz//ORqLigI8IiIiIiIiIiIiIiIiIiIiIiIiIiIi/7rhhhsCfkxXF3+nUa6/v9/j8qiowBRbeTuOt3FGipaWFmzYsMHjOrfffrvfw0QAIAgCZs6ciVdeeQXHjh3D6tWr8f3vf19VmAgAJkyYgOeeew51dXW49tprZW3z+OOPY+/evaqOR0REoe/cbdtc3m6Nj8eJ73wnsIMhIiIiIiIiIiIiIiIiIiIiIiIiIopQDBTRCHa73eNyvV4fkHF4O47NZgvIOIKtoqICVqvV4zoLFy4MyFhuv/12VFVV4fbbb0dsbKxm+01PT8fGjRuxfPly6HSeT0s2mw1LliwBy9WIiCJPdFcXMj75xOWyxssvh13D9x4iIiIiIiIiIiIiIiIiIiIiIiIiotEsMFUzFFa8NQMNDAwEZBzejhMdHR2QcQTbunXrPC6/9NJLcemllwZkLP5spxIEAY8++igyMzNxzz33eFx3586d+Mc//uH3Wrf77rsPP/jBDxRtc+TIEdx4442Dfy4oKMAFF1yg8cgoHHV3d2PXrl2Dfy4oKEBCQoLs7St31qOh+i08Ev1XfwyPKCRE72qH3s37f9qEw5hz6FG/j8GMBLw1MBN/txWhG2fb/y4U6vBMzAs+7fukaMJGWyHeshWh58y+LxS+xjMx/+vTfgNFNGZBuH4lGsUxePTNz9HUYXG77rgkA564+WJkJccB/V3AvleBg38HulvPrpQwFjj/+8CBN4G+07LH0SomoaT/UdjdXBvhxTunImfMkPOraAfW3+B8bG8SxgJ3vg0IZ47R3wXsfw344q2Rv8OUm4BLfgTESMd8ZWc91n9cL/tQd12eg9sLc9yvoMX4A6C7fwB/33scGz9vwsmus02iOgGwa5ADd3pOeRnHfa/s9fj8HLrPF+64DLtrW/HKpiokoAfdiMc34li3z6+h1twxFRPGyn8vd6g/1Y3/XL9H8Xa+SDOI+M/zz144wulzSH8X8NqdgLnR+45MWbD/YD2+6RLQ1TeAxNgonJsaD50gOK3W3T+At848H051yWuWlfsYO/lkLfDJi7JXf3ngKvzZdiUAYMWPvoUpWUnyj+UDuyjim7Yej/dZuFH6Wnvxwn2I2btW/gEK7gWmef5eSBSSFJ5T8cOKwc8QRJHM178TISKiIOs4BrxT5vkzjikL+P5KIGl84MZFJAM/hxAREVEw8bMIERERBQs/h5ASozZQZLfbUVNTg2PHjuH48eMwm83o7e1FX1+fU/PJL3/5yyCOMjhiYmI8Lg9UoMhbK4+3cUaCnTt34uDBgx7XCVQ7UaCUlpbi0KFD+P3vf+9xvT/84Q9+DxSlp6cjPT3dp30kJibCZDJpNCKKJAkJCYqeG3VmOxIsTTDZjvtxVERBtqfb9e0mAQlZ7YDltN+HYAJwP2pwvX0jSqyPokHMgA52JAl6RNlaES/Imxjvyp+shXjONg8ThUacg26YkYDjiILJHiava8tx2N/4MR7oW44v2wHA/WT4E719uPevB/FuyTlIfO0HQHudy/1hx2eKh2HCccT3NeGIOHKCSqbJgAtzMqHXDRvbxd8Dti2Xf5DL7waSkp2OirkPAN+9Hzh5WHouGpKBtHxA59yqecfs8/HXz06ioa3H62GyU+Nxx+zzYTR4Ccr7PH7/MwH4yVWpuPfKi1B1uBUPvbEfzeY+zfbveE5tLCvyeH+ZADxTcjlK1u7y+Bhkp8bjj7eeB3HHSkz/9CV8H+1njyWmoHJgHspt16AT8W73ERuv7L3coa9tACd6gxsmcfocsu1/gRbX7XAjWI5jzerf4Inu6wdvyjDForggB6VFuTAZolF/qhsl6/YMuf/l/a5yH2MnM+9B/75yxJi9h/jq7elY0z8TXWfGk5aSDJPJKO84GkhOCkx4KVCUvNaeKSlAWsJ3gEPrXb8fDJeSC8y4BzDwexSFIYXnVHxRAVzxkH/HRBSClP6dCBERKWOzizja2gVzrxWmuGhMHJs48u9K5LJ0AG/+2Ptnectxab1FH/KzPIU0fg4hIiKiYOJnESIiIgoWfg4hT0ZNoMhms2Hr1q3417/+hQ8++AAHDhxAX5/3CW6jMVDkrfmnv1/9RFolGCgC1q71fAVng8GA22+/PUCjCZzf/va3+Mc//oGvvvrK7TpVVVX4+uuvMWHChACOjCh47JbTWKj/Z7CHQeQ/p+1Ag831soujgQA3OeToWvDn6OV42zYDt0ZtR6bQ7n0jL/4z6l0UR2112tcJMQWdogFGwXvDQyjQna7DfOub+BI3e123ve0kbC8vkSaUaCwJrsNnxdOzodcJIyfOFCyCfl+lrInsx4UM2CbfiWxXC3V6IP18j9ubDNGoWFgga5J9xcICecGJwsWAzPEjJReYvtj7en7S3T+A/+/tLzQNEzk0tPWgfEcdyuble1wvZ0wCNpQV4aUddaisbsAJ89nXV6bJgFsuOwdJlmOI/tN3kYXmEdtnCu1YFv06btFvHwwWutLVp+5CC6a4EGpatduAPeWKNrl+4F94CgsGW5yazX1YsbkGb+w9hv+94zL85JW9sgJ1rsh9jAcZkqC/8+849tw1GO/isXSot6ejxPoous4ExDJNBuSNTVQ1RjrL22uteHo2Smfmnj3PlbwFVNzk+VyWkiutxwmIoctuA07WSBNLDUlA2uQR4dpRS8U5FbvLgVkPhtd9yOcAERFRyDJbrCivqkPlrnqn7+XDLwShyM7V8v4+ApDWq17NwDQRERERERERERFRGIn4QNE333yDlStXoqKiAq2trQDg1EDkiaBw4uqmTZuwfLnrK4dfd911ePjhhxXtL1gSEz1PrOrq6grIODo7Oz0u9zbOcNfd3Y1XX33V4zo333wzkpOTAzOgAIqJicHy5ctxyy23eFzv9ddfx3/9138FaFREwXWl+e/I0vkeaCAKWfs9BIkvCc7k+3N1rfip7m3N9mcUemFEr9NtWgSVAq04aiuet904GCZwp1S/CUl+CBMBQAdGVvBmp8bj1qnj8ezmwy4nziy88Glcd/o+nCN6Cx08AlQcwsayMfJbUoZRPMneG0NS2EzEL6+qUx0mkaOyugFL5kzyemVlkyEaZfPysWTOJNS2dqGj14qkuGjodQKWrNuG1d1LMV7X4nEfOboWVEQ/gev6lw8GUYbqVhkoGmuMhV4QYJP5vdSvTtYAnU2KNhkntCFPaBzREtbQ1oPiF6vR0ev5whDeyH2MHfRpeXin8FX0fPgciqO2YpzQNrisSUxF5cBclNuucXoMHeFD8p2711qeqyugp+YBi7YD1WukEEVn49llxixgWqkUiGSYKDRZOqTJpHvKnc8bxnHA1FIp/GqIrCYuxVScU9HZKLUfegkshwQ+B4iIiEJa/alutxc3GXohiIqFBcgZM/LvVVwaLYFpIiIiIiIiIiIiolEsYgNF7e3tePzxx7Fu3TpYrdYRISJvYSG5oaOhvvvd76K0tBQtLc4T00RRxKFDh/Dggw8iKir07/LU1FSPy81mc0DG4e043sYZ7v72t795DVUtXLgwQKMJvBtvvBG5ubmoq6tzu86///1vBopodLDbMOP0O8EeBZH/iKL7QFGmDkjnBARVBD0guml98oG7MMFQOthRHLVF82MDUkCgVsxyui07NR5P3nwxbvu/nW4nzizfCazC/+Bu/SbvoQOlLSkuKJpkL0cYTMS32UVU7qr36zFOmC2obe1CfoZR1vp6nTC4rtlixYKVVbjR/BZyoj2HiRxydC0o1W/CKtvIVq5f/P0A3v3ZLMXBs/Uf1YdGmMjSAXz8vKpN3bWE+RomApQ/xgBw+3cvwoL9d+D5thuRJzQiCd3oQAJqxawR4cfs1HjMyk/D7ro2qcFM7WuSnAx9rXlkSJKuVj7rQSlEYTkNGJKBtHxOOAxlbbXuQ62dTcC25VKTXslb0vvVaGXpULndaU2H4Rd8DhAREYU0s8XqtSkZkC4EUbJ2FzaWFcn7LhvpgWkiIiIiIiIiIiIiisxA0VtvvYWf/OQnaG1tHQwGuQoQuQsNKW0mcjAYDLj//vvxi1/8AoIgQBTFwX21tbXhnXfewU033aRq34E0ZswYj8tPnz4dkHF0dHieiOFtnOFu7dq1HpdPmDABc+bMCdBoAk+n0+HWW2/FH/7wB7fr7Ny5M4AjIgqikzVI7G8N9iiI/KfRDpyyu14WpHaiUGQTBegFBSGEogeAKMPI8IkGCoRDEAAcdTFZHwAmCo1+a1+qHJg7eExH28+tU8e7DRMN1Yl4rLLdjOdt3kMHSltS3JE9yV6OEJ+If7S1y6kZyl/UhlbKq+pwrK0LxbHKwm7uWrm+ae9VHDwLROjKlXFJBmBoCKjjGPDmjz03XnngqiVMS0ofY5MhGhULC1CydheOtLkPOybFRaO7fwA3vfDR4G0ZplgUF+SgtCgXJpWtZKSCTs8JhuHC0uG9IQ+QllfcBCz6cPS2TKlt5zEkazoMn9lt0uRhS4f0OyVm8jlAFKqGv17TJofE9wIiCjwlbcENSi6iEsmBaSIiIiIiIiIiIiICABez/8LcI488gltvvRUtLS2DgR5HqEcURaf//OHee+9FbGwsgJHBpJdfftkvx9RaWlqax+V9fX1+DxW1tbWhv7/f4zqRHCiqqalBVVWVx3VKS0tVh9/ChbfAVHt7O5qbmwM0GqIgUvsPt0Thwl07kQDgotE3uXtAdP6IflI0otx6FWb1rcBxIUPeTlJygZkPSOGTpQeA+6qBW8sBU5a3LWVZHlOO92Mfwkex96NM/yaMcJ60YnLTXuIrMSUXNy7+b7y++HK8v3Q2djwyF2Xz8vG33cdkT5wBADt0OCKOxx7xPBwRx7sMRTlaUkKSYyJ+dqH0M0QmDZo1aKeRIylO+XnBEeRRE3ZztHK5UlndAJtd/ndLtaErKRDk3viUONwzMxeZJuf1Mk0GLJs/GS/ccZnzBu+UqQ4TuWoJ05qaxzhnTAI2lBVh2fzJI+6HsYkxSIqLRkevFae6nL9nNpv7sGJzDRasrEL9Kf+cu4jC2s7V8s8X7XVA9Wp/jia0pU0GjOOUbWPMkoLBocDSAWx7ClgxBXihEFh3tfTzmYv4HCAKNe5eryumSLfz75GIRhU1F66Q/V02UgLTRERERERERERERORWxDQUiaKIe+65B+vXr3dqBnIsAzw3D2kVMEpLS8ONN96IV199dfB4jraif/7znzCbzTCZQvsqndnZ2V7XaW5uRnJyst/GICckImec4WrdunUel+t0Otx9992BGUwQXXbZZV7XqaurQ0aGzMnVROFK7T/cEoUDmwgccBNCyNMDxojLv3sVJdjRKKbiof57cQKpg+052anxwK1vAe8Ue57UmZILlLx19srwjvBJ+vnApHlA9Rqg+v+AHt+bzzKFdiyLfh236LejxPooGkTpPdnsj/aSlFwIt7+OifYOwNIACEkAJsNm1/mt8UVtE85QNruIo61dMPdaYYqLxsSxiT63HoUqk4oQiFKZJgPyxiYq3s4R5BkvqAuMJLkJyTmCZ3JbqNSGrp685WLs+6YDldUNOGG2DN7uaOkqnZkLoyEaj193IWpbu9DRa0VSXDTyzjzfzGbzsIGoby0b2hLmD2ofY0BqKiqbl48lcyYN3g96nYCyv3yK1q5ej9s2tPWgZO0ubCwrgpFNRUQSuw3YU65sm93lUpNeiIRdA0qnB6aWAtuWy99mWmlo3Fdtte5biPoVBqxH83OAKBA8vV47m6Rz0L5K6Tthal7Ah0dEgafmwhWyv8s6AtOdTfJ3HkqBaSIiIiIiIiIiIiLyKmICRUuWLBlsABraSDT0z0Nv86eSkhK8+uqrg8dzHH9gYAD//ve/ccMNN/h9DL5ITEzEmDFjcOrUKbfr1NfX47zzzvPbGOrq6jwuT09PR0KCHyaqhgCbzYb169d7XOeqq67CueeeG6ARBU9mZiYMBgMsFovbdVpaWgI4IqIgSZuMrqgUJA4oa1QgCgtHB4AeN5/PLokJ7FhCSJbQhkt1R7DKdjNSE2Jw94zcwcAAFm2XQkG7y4HOIaEAY5Y0KXX64rNhouEMSVJrUc5M4KXvaTbeHF0LKqKfwHX9y9GFeBwVs3BCTFHcBONS/Fhg6p2ACODl7ztPYjGOQ/v5xegxXwAg3vdjDaOmJcXBbLGivKoOlbvqnSb2ZJhiUVyQg9KiXJgiLLQwcWwi0o2xaOmUP5EpRq9Dv80ue/3i6dmqAlmOII/asFuHh+2UBM+6+gZUHT8rKQ5XTE53CsoMDQw56HWC7HCTGvX2dJTbrvHb/gH1j/FQQ++HZzcfxjftnsNEDg1tPSjfUYeyeZz8RgQAOFmjbPIoIH02OXlYCjKPRoWLpYn8chp9UnKlz23BZulwH05QY7Q/B4j8Se7rtb1OWm/Rh+6/GxJRxFB74QpZ32XDOTBNRERERERERERERLJExCXfX3zxRaxevRqCIAy2AQ0PEzn+PGPGDDz22GPYtGkTDh06hJaWFqxevdppXV9dddVVg+09w/e5efNmTY7hbxMmTPC4/PDhw349/pEjRzwu9za+cPbuu++iqcnzhJ2FCxcGaDTB563Rq6enJ0AjIQoinR77M28J9iiI/ONzN5MXogGcHzHZd1XuinoP5wkNqLxnGsrm5Z9tzHCEgpYeAO6rBu55T/q59IB0u6cJY3Yb0HII3S1faz7eHF0LSvWbpMNAh8qBeb7vNGEscPdG4MAbQNXTIyc1dzYh7ZOnsSHmMWQL3hsulfClJaX+VDcWrKzCis01I64S3Gzuw4rNNViwsgr1p9S15YSqY+096BuQHw4CoChMlJ0aj9KZuQpHJXG0JznCbko0iVJTmDtyg2dmixX/398PKDo24PxcdARlpuWmIj/DGNC2q3p7Okqsj6LLD+E9B18eY1dsdlFxg1lldQNsdv9fiIQoLFg6VG53WtNhhBVDktQKkpLreb3hjZLBtHO1dmEih9H8HCDyJyWv1/Y6oHq1P0dDRCFCbVuw7IuoFC72/tnGIVQC00REREREREREREQkW9gHihoaGrBs2TKXrUSO23Q6He644w7s378fVVVV+O1vf4urrroK5513HtLS0qDXa3ulrKioKMyfP9+pDckRdNqyZYumx/KXKVOmeFz+1Vdf+fX43vbvbXzhbN26dR6Xp6Wl4frrrw/QaIIvJsZzO4XVqu7qe0Th5h9xN+C0GJnNbDSK9YnAl27aOi6IBmICN1E+FKUJnXgv9hGc99fLgW1PjZzUq9NLV37PLpR+err6q6VD2seKKcALhUh4d4lfxlwctRU6SAGRcts1qLen+7bDy+4E/vJDr5PmHA1JidAuaKy6CcdiRcnaXWho8zyWhrYelKzdhU5LZHyWcfzeStp6lMhOjUfFwoKzwTqFJo5NRIYpVlXYrXJgLuxuvjorCZ6VV9XJbsoZSovGHl/9ZeC7uK5/ORrEDL8dw9fH2JWjrV0jQn3enDBbUNvapdkYiMKaIUnldsmaDiPspOZJjZJzHpcaJIcyZkm3L/pQWi/Y7DZgT7n2+x3tzwEif1Dzet1dLm1HRBHN8X1XCUUXUQnHwDQRERERERERERERyRb2gaIHHngA3d3Slb1dtRJlZmZi69atWL9+fUBDKPPnzx/8/6HBoq+++gotLS0BG4dal112mcfln376qV+Pv3fvXo/LL730Ur8eP1haWlqwYcMGj+uUlJR4DdlEkt5ez5Mu4+LiAjQSouDqizLix/2PwyqO7oAFRZiDVsBNngiXaDehPNwJnU3AtuXAmtlAW63yHbTVSttuWz6y4Udj44Q25AmNAIBOxKPE+qj6UFFKLiBC9hW4hzYk+UpWS8qZtic07JR+npmoV15V5zVM5NDQ1oPyHXW+DTZEKPm9lZoxcQw2lhUhZ4z6YK1eJ6C4IAeAsrBbvT0d5bZr3C6XG/ZR05QDaN/Yo9a7ibf4rZko02TAsvmTfX6MXTGrDLj5KxjnkptzCVFISJsMGMcp28aYBaTl+2c84cSXRslAOlmj/edDPgfI30bre6ea12tnI3DysH/GQ0QhY+j3XbkUX7ginALTRERERERERERERKRIVLAH4IvPP/8cb7/99mCACDjbBCQIAi655BK8//77GDt2bMDHNmPGDLfLPv/8c8ybp+yq2IHmLVD02WefwWazad7uBAADAwPYt2+fx3UiNVC0fv16DAy4m1ktWbhwYYBGE3z9/f1ob2/3uE5iosyr6BGFuQyTAXsQhw4YkQZzsIdDpI3P3UzYThSACdp/xgh77XVAxU3SBA25k1AtHdI2MkM5WkhC9+D/N4gZWNC/HHfrN6E4aivGCW3ydpKSC9z+BvDyAkXHLo7aiudtN7ptk5HDa0uKpQPYuVq6OvjQCX3GcbBfdjferr4ASr5mVVY3YMmcSUFvoPGF2rCMXLWt3YiP8f2ra2lRLt7YewwNbUCJ9VFURD+BHJ37iz3U29NRYn3UbZBGSdhHTVMOAPz3DVM0bexRxZiF3955I0rK92gSGvv+JZm4e+YEiCKQFBeNvLGJfnv+m2J1yBeOwYRumJGAo2KWrPNDUlwA7nMP5xJMLQUKF6tvh6GIZrOLONraBXOvFaa4aEz042sIOr30fNy2XP4200o9tyaONo5GyVA1vAFTC3wOkL+M9vdOta9Xy2lNh0FEoens913v39lUX7jCEZie9aAUVrSclloJ0/L53k9EREREREREREQUxsI6UPTss88OhoccPx3GjRuHjRs3BiVMBAAXXHABEhIS0NPT4zQuAPjyyy9DPlA0bdo0GAwGWCwWl8u7urqwZ88eFBQUaH7sXbt2oafH/T96GAwGTJ06VfPjhoJ169Z5XD59+vSANm0FW21tLex2u8d1zjnnnACNhii4Zp8Tgx9HP4E0gWEiihBmO/C1mytJXxwNhHG4whVRBAQtfqX2OqB6tTSBQ46dqwMaJgKADjg3jHQiHqtsN+N5243IExqRhG4MQIcrdPvx46h/O4WMrAmZiC5YCExfDJiPK74Ct6Mh6Yg43u0645PjcMOlWXhjz3GcMJ/9rJtpMqB4ejZKZ+a6D3C01boPaHU2QffBEyi3p6NEeBQNYoasMZ8wW1Db2oX8DKOs9UOR2rCMXFrdRyZDNCoWFqBk7S40tLkPu7UgFX/XX4WVlis9hok8Bs+GUduUkxAbAl/Zp5UiZ6wJG8qK8NKOOlRWNzi9dpR6Z/8J7KprR3FBDkqLcv0ThDgz4Th/Tznejz17HjkhpqByYB7Kbdeg081jm2kyIG+sny9a4OVcgm3LgX2VQMlbvMI3DTJbrCivqkPlrnqnc26GKXbw9WTyRwCxcLH0fJTzeSIlV3oPp/ChdfiCzwHyF753qn+9GpI1HQYRhSbn77vu/31N6XdZl0I9ME1EREREREREREREioTA7CR1rFYr3nzzzRFhHUew6JVXXglq0EAQBJx33nnYu3evy0BRqDMYDJg5cya2bNnidp3333/fL4GizZs3e1w+a9YsGAwGzY8bbB9//DEOHTrkcZ3R1E4EANXV1V7Xyc3N9f9AiELA2C/LPbYoEIWd/R4m118S5DYOPxAEoN4+Fjm6Vt93trtcuhqst6u/2m3S1bsDqElMRa2Y5Xo40DkFffbZ8vGc7abBkFF0Yir+vPQOIOrMV5SWg6rGMLQhaTjHxJmcMQlYNv881LZ2oaPXKq8lRWbbU46uBRXRT+C6/uVuwyjDdagMm4QKtWEZJbS6j3LGJDgFY1aZz4bd8hKsmH1JPm648grcptPD4iI8Iyt45oJJZeON35pyTFmA5bj39YZMDDcZolE2Lx9L5kxCbWsXDhzvwNLXPDfLutNs7sOKzTV4Y++xwdekZoZMOB7+is4U2rEs+nXcot+OEqvr4F/x9Gz/NobJbY5T00pHEav+VLfbyaF+fT0B0gT2kre8P29TcqX1+HwNL2mTpXYXhSFul/gcIH/he6dEzevVmCU1hxDRqDD8+64W32WJiIiIiIiIiIiIKPKFbaCoqqoKp0+fdmoncvy8+uqr8d3vfjfYQ0R+fj727t074vaampogjEa5+fPnewwUvfnmm3j88cc1P+7rr7/ucflVV12l+TFDwdq1az0uT0hIwG233Rag0YSGjRs3elyel5eHxEQ/Xz2cKBTYbRh/9NVgj4JIO6LoPlCUrgMydIEdT4AYhAGcjhmH5H4fJ2x2NgKNe4Hx3/G83skabSaHKvC2fj7skP/4DQ0ZLSucDH3UkK8nKq/AfdPlU3D8QJTXiTN6naCs8UZB21OOrgWl+k1YZbtZ1vp+C40EiNqwjBJa3kfDgzHuQmVy1pFr4thEZJhiFTU5+bUp5/srYX/jx9CdrnO7ij05FzoXE8Mdr528sYl4ctOXPrVTNbT1oGTtLmwsK9JmUpuPwb/s1HiUzsz1fRyeKGmOU9pKRxHJbLF6vdI84IfX01CpecCi7UD1GinY3Nl4dpkxC5hWKoUPI3ECf6TT6YGppVK7i1yxRqCv8+yf+Rwgf+N7p0TN63VaqfcLURBRRJH7fZeIiIiIiIiIiIiIyCFsZ2t++OGHbpc99thjARyJe1lZI6/OLooiWlrCo2Hi1ltv9bh87969+OqrrzQ95oEDB/D555+7XS4IgtdxhaPu7m689tprHtf5wQ9+AKNRwaTXMNfW1uY1UDRjxowAjYYoyE7WIK4vPN47iGRptgOtdtfLLomW6nwiUIbQjvu77sRxYWQjhmKv3iG1cLhgs4uoae7El19/4/txlEjJhVjwE1WbupzE77gCtxLGLNyx4ErseGQu3l86G68vvhzvL52NHY/MRdm8fPUTrFW0PRVHbYUObp7nQ/g1NBIgE8cmYqwx1m/799d95AjGTMtNRX6G0eXkKjnryD1WcUGOom382ZTTKI7BdX3/g6ett6JJTHVa1iSm4mnrrfhe33LUu2jwcVDzO7nS0NaD8h11Pu8HgKrgn4OjwcwfV+t2nJd317Zi4BPPF5IYYXe5dA6iUau8qs5rmMhB09fTcIYkaYL+0gPAfdXAPe9JP5cekG5nkCR8FS6W2oXkSMkFfvY5nwMUOGpaVyP5vVPp6/VM0yQRjT5afZclIiIiIiIiIiIiosgXtoGizz77bPD/hSGTTpOTkzFz5swgjGik9PR0pz87xtnZ2elq9ZAzceJEFBYWelxn1apVmh5z5cqVHpfPmDEDubm5mh4zFLz22mtenxcLFy4M0GhCw7PPPoueHs+Tpq6++uoAjYYoyCwdwR4Bkbb2uWknAoCLw7upxZse0YBrev8Hf4r+MexKwzJDdZ6QWjgs5sGbzBYrnt18GDOe3IKrVmzH/X//WoMRy5SSC5S8hdu/exGyU+O9rj6U20n8jitwK3HmCtyaT5xR0fY0TmhDntDodT1/hkYCRa8TkJVk8Nv+I+E+Mlus6BuwQS8zMOnvppxH3/wch9oFrLLdjJl9K3Fl3+9wS9+vcGXf7zCzbyVW2W7Gl+1Aydpd6LS4P2eXFuUqfs27UlndAJtd9G0nKoN/WcZoLJs/GRvLipAzJsG3MQwz/Lz86ItvIqq7WdlOOhuBk4flrWu3AS2HgIad0s9InUw9itjsIip31SvaRpPXkyc6PZB+PpBdKP1k80X4MyQBJW95Dymc+byH+BQ+Byhw1LSuKnnvDDdKX68M+hEREREREREREREREZEXYRsoqq11viK7KIoQBAFz5851ChgFU0KC68lI4RIoAoB77rnH4/Ly8nI0NSn8R103jh07hoqKCo/r3H333ZocK9SsW7fO4/LzzjsPRUVFARpN8NXW1uL3v/+9x3ViY2Nxww03BGhEREFmSAr2CIi0YxeBA24mp0/QA6aw/XgqSwcS0Il4/Lbz+3j+W38HFn8ExI9Rt7P2OqB6NQCg/lQ3FqysworNNWg29wEAjopZOCGmaDPwM2yi8+fsJjEVa/S3wXbvdiA1DyZDNCoWFsgKGIxNjPE+iT9UrsCtMtiZhG6Py/0dGgkUm11E/SnPv6takXAfOV6fL2w7CpvofZK/P5tyHJo6LIP/b4cOR8Tx2COehyPieNiH/DWBt7YTJa95T06YLaht7fJpH2qDfx/+x7m+NZi54eq8bPJyTnDLctrL8g5g21PAiinAC4XAuqulnyumSLcznB62jrZ2DT5/5NLk9USjT2oesGg7MOdxwDiscd2YJd2+6ENpPaJAUvse5u29M5zx9UpEREThhhdAISKKXDzHExERERFFhKhgD0CtpqYml8GhCRMmBGE0rsXGxrq8PZwCRSUlJfjFL36BlpYWl8t7enrwyCOP4OWXX/b5WA8//DAsFovb5RkZGSgpKfH5OKGmpqYGVVVVHtfxFuyKJBaLBT/60Y/Q29vrcb3bbrsNRqMxQKMiCrK0yRATx0Ho0ibASRRUX9uALjcT6i+J7HaiJjEVteLZCV9/3nUc982dC33BImDbcnU73V0O83fKULJ2FxranJv97NChcmAelkW/7suwnTw7cDPetU9HErrRgQTUilmw9+kw16xDfpy0Ts6YBGwoK8JLO+pQWd2AE+azn+/SEmIw78IM/Pg75+Li8cneW2ccV+CuuEkKULljHAd87w9AjLbtIk7jUKED7scTiNBIoBxt7cLp3gHN9xsJ95HZYnX5+nRFLwj4yRU5+MkUOxK6PwdsSUDa5KA3P1RWN2DJnEluX6+eXvNKdPR6aK+TQ+WEY32f9mEbd4+72cM5wSNDsvtlbbXuz5GdTdL7y75K6VzKicVhx6zydeHz64lGJ0MScMVDwKwHpXYXy2np/JOWH/T3IhrF1F5gxdN7ZyTg65WIiIjCgaUD2LlaapQeehEY4zipmb5wMS+oR0QUrniOJyIiIiKKKGF7CfjubtdX9k1PTw/wSNzr6XE9aWxgQPvJdv5iMBjws5/9zOM669evx1tvveXTcV577TVUVlZ6XOeBBx5wG9KSq66uDoIgePzv17/+tU/HUMpbO1FUVBTuvPPOAI3GNW+BJ61YLBbccsst2L17t8f1BEHAww8/HJAxEYUEnR5fjr8l2KMg0sZ+NxNcowBcEL6hATkqB+Y6NX8MNggoaeEZrrMRb2/+wG1Yodx2Dert2nw+rrenY53tWpdNJsMnLpsM0Sibl48dj8zF+0tn4/XFl+P9pbNR/fiVeOqWS/Dt7BTvYSIHT1fgFs7cn51NwJ9v9V8bR9pk6R9BFLAbx+GGeVcg02Rwuj3TZPDezBRm1E54T46LxgNX5kf0fVReVScrTGRED5bo3sDivTcgYW1RSDXMyGk7Gfqaf/HOqaqOkxTn43tACE04dve4q2qOM2ZJk4NdsXR4D1wC0vKKmwCLWdmxKehMKl8XPr+eaHTT6YH082EbPx014jnY3dCBmuZO2OzeW/aINKfic7jH985Ic+b1iuxC6SfDRERERBQq2mqBNbOlC50Mb5R2XABlzWxpPSIiCi88xxMRERERRZywbSjq6+tzeXsoNZa0tbW5vD0uLi7AI/HNAw88gNWrV+Obb75xu85dd92Fc845BwUFBYr3v3PnTixcuNDjOjk5OV6DTeHIZrNh/fr1Hte57rrrkJmZGaARubZgwQJMnToVjz/+OObOneuXYxw+fBg/+MEPsG/fPq/r3nvvvbjgggv8Mg6iUPVM51w8JZYjWXAdqCUKC/0icMhN8OD8KCBWZsAkDNXb01Fuu2bE7R29ViAjVWqOKP/eyL94l2H7/sMAXLd0diIeJdZHURH9BHJ0rhsnAcAq6hAt2D2Ov8T6KLoQ73K5u4nLep2A/AwNPp8PvQL30a3AP34KdJ4AxGFj9lcbh04vXVFNQZOUbto9uP+K83Hf3PNQ29qFjl4rkuKikTc2UX6YKkyo/X1u+HYWHrhyMu6fmx+R95HNLqJyV73X9bKF5rOv0f5hC0OkYUZu24leJ2Du+RnIMMWi2ez6O7srmSYD8sYmqh2exDHhWMl51A8Tjj097qqa46aVup8cvHO19zCRQ3sdUL1aOpdS2Jg4NjE4ryca1cwWK8qr6lC5q97puZdhikVxQQ5Ki3JhCuP2QAozKj6He3zvJCIiIiL/U3oBlEUfAgZTIEZGRES+4jmeiIiIiCgihW1DkbtQTnt7e4BH4p67scTHu56IGari4+Pxxz/+0eM6nZ2duOqqq7BhwwZF+3777bdx9dVXo6vL8xWvn3766bALYsnx7rvvoqnJ84Q3b2GrQNm6dSvmzZuHb3/723j++efdBuaU6u3txapVqzB16lRZYaKsrCw88cQTmhybKFzY7CI+rLfACk6IoTD3pRVwNyf9ksielJgg9OIe/SYY4dxYMRjESc0Dflihat9fd3u+7xrEDCzoX46nrbeiSUx1WtYkpuJp662Y1feMx+XX9S9Hg5jhcv8Bnbjc3wW8+3MpTOSJP9o4lDRJpeQC0xcDOBuqmpabivwMY0QEZYb74KtWxdvoBQFL50+W/j8C7yObXcSWQ81eQwBG9HgN/AEIesOMkrYTvU5AcUGOov0XT8/2/XF3TDhWwg8Tjo+2dnl83BU1xw05l4xgtwF7ypUNbne5tB2FjaC9nmjUqj/VjQUrq7Bic82Ic1mzuQ8rNtdgwcoq1J/ihS4ogFR+DiciIiKiIFFzARQiIgoPPMcTEREREUWksA0UJSQkuLz91KlTAR6Je8ePH3f6syiKABD0thk1br31VhQXF3tcp6OjA9dffz1uv/12fPnllx7XPXjwIG677TbceOONMJs9T4q7/fbbccsttygeczhYu3atx+Xjxo3D9773vQCNRp59+/bhpz/9KTIzMzFv3jz88Y9/xCeffAKrVd5VywHAbrdj3759+PWvf43s7GyUlZWhs7PT63YxMTF4/fXXkZKS4suvQBR2apo7cY7tGMYKwZlETKSZ/W7eK+IFIC9sizNlSRM6sSz6dWyIeQzZQjMAF0Gccy6T2jUU6I/PRK2Y5XW9TsRjle1mzOxbiSv7fodb+n6FK/t+h5l9K7HKdjNOIM3jcnfNRECAJy4H8x8qDElSQ4y3yYwpudJ6Mq+4ZrOLqGnuxO66NtQ0d8JmF30eaiDZ7CL+8kmD4u1KLs9GcnyMH0YUXGaLFc9uPowZT27BvRV7vK5fqt/kPUzkEKR/fFMTGiwtykV2qrwLaWSnxqN0Zq6KkbkQAhOOzV7anBzNcV5DRd7OJSdrlLfadTYCJw8r24aCLmivJxp1zBYrStbuQkNbj8f1Gtp6ULJ2Fzot8v8eiMgnfvocTkRERER+wAugEBFFLp7jiYiIiIgiVtjO3MzMzERzczMEwXny4jfffBOkEY300UcfjRifIAjIzs4O0oh8s2bNGuzZswdfffWV23VEUURlZSUqKytx6aWXYsaMGZgwYQISExPR2dmJr7/+Gjt27JDVRAMA559/PlavjswrVjQ3N2Pjxo0e17nrrrug14dmI4nVasXWrVuxdetWAEBsbCwmT56M8847D+eccw4yMjKQmJiI2NhY9Pb2oq2tDW1tbairq0NVVRVOnz6t6Hh6vR4vv/wyLr/8cj/8NkSh7csmM0zgFaApzHXagVo3f2F8UTSgHx1X0s/RtaAi+glc178cxdMnOwdxHO0a25bL3p95yh2wfyj/GgF26HBEHK96+XABnbis9h8qZj2oXQNJah6waDtQvUbad2fj2WXGLKntZPpiWZMYzRYryqvqULmr3qkBIMMUi+KCHJQW5cJkUNbcZbOLONraBXOvFaa4aEwcm+j3sJe3NhZ3bvz2OX4YTXDVn+qWNRHbQQc7iqO2KDuI1s9pGdSEBk2GaFQsLPB6f2SnxqNiYQGMCp/rbjkmHFfc5Dl86McJxyYZbU6O5ri79ZtQHLUV44Qh7a9yzyWWDnUDtJxWtx0FTdBeTzTqlFfVyX4Pa2jrQfmOOpTNy/fzqIjO0PBzOBERERH5kS8XQEk/3z9jIiIibfAcT0REREQUscI2UDRhwgSnUIogCBBFEVVVVUEc1VlHjhwZDDyJougULJo8eXIQR6ZeYmIi3nvvPcyaNUtWcOvTTz/Fp59+qvp42dnZeO+995CYqOxq2OFi/fr1GBgY8LjOPffcE6DR+K6vrw+ff/45Pv/8c833bTAY8PLLL+OHP/yh5vsmChdmuG7mIwobB6yAu+KVb42uia85uhY8YNyCH828ceTCwsXAvkp5LTwpuUiZW4aMfZ+oCnT4KuATl0PlHyoMScAVD0mhjpOHpcn5hmQgLV92yMNT8KTZ3IcVm2vwxt5jqFhYgJwx3s///ggnyeWtjcWdgTBrYvJGbqvDUBOFRmQK7coOpNFzelySASd6vZ83fAkN5oxJwIayIry0ow6V1Q04YbYMLss0GVA8PRulM3O1P4cEecLxxLGJyDDFej0vO5rjnrfdiALjKfz59vOgj0+Rfy4xJKkboCFZ3XYUVEF7PdGoYbOLqNxVr2ibyuoGLJkzKXBNlUQafA4nIiIiIj/jBVCIiCIXz/FERERERBErbANF559/dgLV0MBOU1MTamtrkZeXF6yhAQA2b97sdtm0adMCOBJt5eTkYOvWrbjmmmtw9OhRvx1n0qRJ2LRpU9i2Ocmxbt06j8tnz56N/Hxe6TU7OxtvvPFGWL9uiHy19LV90CEL7WICUgQ2FVGY2u8mdDBGB4yT37ATKe6O2YaomJG/ty3GhIZrX8G4d4ph6Gxwv4Mz7Rr6uCQUF+RgxeYa/w12CB3sKEhsxS0XGvG972QjIcUQkOMCCL1/qNDpVYU65AZPGtp6ULJ2FzaWFXmcIK51OEkpOW0sriSp3C5UKWl1cFDdPqjBc/qJmy/GvX896Pe2E5MhGmXz8rFkziTUtnaho9eKpLho5Pm7PSuIE471OkHRedkOHWYUzoQ+V+F3v7TJgHGcsqClMUu6DygsBe31RKOCmsbBE2YLalu7kJ9h9NOoiNxQ+TmciIiIiAKAF0AhIopcPMcTEREREUWssJ29OXPmTLfLKisrAzgS15577jmnVqKhpk+fHuDRaGvSpEn45JNPcPXVV/tl/9dccw0++eQTTJw40S/7DwUfffQRvvzyS4/rLFy4MECjCU16vR5lZWU4cOAAw0REABJgQTwC30BCpIkWG3DC7nrZJdGAm89MWrHrYvy6fzWiupukSe5nmC1WPLv5MGY8uQVz1jXgO62/xNPWW9GCVOcNjVnAnMeBRR9KLRwASotykZ0a79fxGtGDx+LfxqGUB/HXgaX4wf7/QMLaImDFFGDbU+rDPkpEyD9UKAmeNLT1oHxHndvlSsNJnRZ1bUKeONpYlMg0GZA3NnJaSNW0OgA+tA9q8JzOSo7DhrIiLJs/GZkm52BgpsmAZfMnY2NZkWYhNL1OQH6GEdNyU5GfYfR/+MFuA1oOAcc+ASAC478jTTwOUHuBkvOy6hYonR6YWqpsm2mlbHCIAAF/PdGooLZxsEPldkREREREFKEcF0BRghdAISIKDzzHExERERFFrLANFM2YMQN6vTQRxhHcEQQBoihi1apV6OsL3qTrd999FwcPHgRwtj1JFEUAUrNSbm5u0MamlZSUFGzatAkvvfQS0tPTNdlneno6Xn75Zfzzn/9EcnKyJvsMVd7aiUwmE2699dYAjca7+fPnw2QyBeRY0dHRuPPOO3Hw4EE8++yzMBp5pVsa3XIf2QgAuEf/T8QKA0EeDZFK7tqJAClQ5Gc6e7/fj6HKmZaR+lPdWLCyCis21wxeGb4T8VhluxmFlpW4su93uC/2CTTevg1YekBq3TCcfV82GaJRsbDAb6GiyxLbUZX8K9xrfxWxvc3OCzubgG3LgTWzgbZavxx/UCD/ocIRRmjYKf2025TvwwU1wZPK6gbY7KLLZVqGk9RytLEoUTw9W/sJ8H56zORQ0+oAAEfFLJwQUxRt0yKMQWdiruJjueJoO9nxyFy8v3Q2Xl98Od5fOhs7HpmLsnn5PjUTBY2lQwo5rpgCvFAIrLta+hnI8CPkn5d9boEqXCw11smRkgtMX6zuOEQU8dg4SEREREREmuAFUIiIIhfP8UREREREEStsA0UpKSmYO3fuYFDH8RMATp48iWeeeSYo4+rv78cvfvELl8sEQcBNN90U4BH511133YXa2lo8//zzuOCCC1Tt48ILL8Tzzz+Pr7/+GnfeeafGIww93d3dePXVVz2uc9tttyE+3r9NA0r87W9/Q1tbG6qrq/Hkk09iwYIFOOecczTbf0xMDK644gqsXLkSjY2NePnllzF58mTN9k8U7nSwoyTq/WAPg0gdUQQ+dxMoytYDyWH7cdR3hmSvDTN26HBEHI93O3Jw21un0dnvuukpZ0yCx7aRy/PGqBqiET34a/xTSLIc97xiex1QcRNgMas6jiyB+IcKP4cR1ARPTpgtqG3tGnG71uEkXwSkjcWdEAiQqG11sEOHf0Qpa32t6J+D8o+/UXU8dyKm7aStVgo3blsuhR2HCmT48Qxv52VNWqAMSUDJW95DRSm50nqGwFwkgojCDxsHiYiIiIhIM7wAChFR5OI5noiIiIgoIkUFewC++PGPf4z333eeYO1oA/rlL3+JuXPn4jvf+U5Ax7Rs2TJ89tlng+NwtCc5xlZaqnASZBhISEjAfffdh/vuuw81NTXYtGkT9u7diy+++ALHjx9HZ2cnenp6EB8fD6PRiPHjx+PCCy/EZZddhmuvvRb5+YGrt83NzXUKnwVDQkICOjs7gzoGNfR6PQoKClBQUICHH34YAHDq1Cl8+umnOHjwIBoaGvDNN9/gm2++QUtLC7q7u9HT04Oenh6IoojY2FjExcUhLS0NWVlZyMnJwUUXXYRvfetbuPzyy5GQ4MNEOA8ISAABAABJREFUOqIIN1FoRJrgx0n6RP5UZwPMbt57A9BOFLLONOeUb61V1DBz7/o9WHPnVJhctFmYDNEom5OHJVOsaDxxAh1iPGIzz0deRhK6+wcw/+kP0NypLMxSqt+EGHODvJXb64Dq1VKDkr8ULoZ1758RbfYepLGachCt5B8q2mqlUFR73chljjDCvkppUn5qnvz9DqE2eNLhYjtfwkn5Gdo2QDraWDyF4wAN2liG0/gxs9lFHG3tgrnXClNcNCaOTZQVrlHb6vCnO6didvYMHPvDvzEezV7Xr7eno9x2DRKrG7BkzqTwDf74g6XD/XNhKEf4cdGHAQnXOFqglsyZhNrWLnT0WpEUF408mc8tWVLzgEXbgeo1wO5yoLPx7DJjlhSsnL6YYSIi8sjROLhic43sbfzSOEhEREREROHPcQEUb39XwwugEBGFH57jiYiIiIgiUlgHioqLi/H444/jxIkTTgEeQRBgtVrxwx/+EB988AGys7MDMp7169fjhRdeGByLg2NcV199NSZOnBiQsQTL5MmT2SwziowZMwZXXnklrrzyymAPhSiimdAd7CEQqbffTYBCD2BKaAeKTolGjBH8FAKeVgobdIobZj6uPYXrnv0Qr/zHdOdWC0sHsHM1sKcc+s4mnAvgXAAwjgOmlsJUuBhP3XoJ7i7/RPaxdLCjOGqLovFhdzkw60FlrUAKmBGPe/sfwVP2XyFH1+J2vXp7Oh7ufwQvIg6yojMBCiOoDZ4kudhOy3CSFhxtLC/tqENldQNOmC2DyzJNBhRPz0bpzNwRYSK1IR4lj1n/SzdC/5MPoY9LcrmK2WJFeVUdKnfVO4W0MkyxKC7IQWlRrssQn4Oj1UFJwCstMQZzzs/A0dYu/EffI6iIfsLrc7rE+ii6EI8uPwXDwtrO1d6fCw6BCD8O42iB8htDkvT7zHoQOHkYsJwGDMlAWr7fzsdEFHlKi3Lxxt5jssLumjcOEhFFKrsNOFkjfX8xJAFpk/n5jIiIRgdeAIWIKHLxHE9EREREFHHCOlAUExODn//853jwwQcHm4CGhorq6+tx+eWXY+PGjfj2t7/t17E899xzWLp0qVMj0XC/+tWv/DoGIiKKTGawwYvClFUEDroJL0yOAgyhfUXz/+h/EJ2Ixzicwi367bgx6mNtdpySC0xfrKphBgC+ae9Fydpd2FhWJIUzZLa0zLr9LaQbY9Eis6VootCITKFd2eA6G6XJ7OnnK9tOpvKqOuw8nYQFWI679ZtQHLUV44S2weVNYioqB+ai3HYNuvrjUb6jDmXzZLRhBiiMoCZ4kmkyIG9s4ojbtQwnaUVJG4uvIR4lj1mMuR5r/vAQLJf/fMR+6091u21Wajb3YcXmGryx9xgqFhY4h/iGUNPqYLWJ6OkfgLnXigYxAwv6ZTynET94u7+CYWHJbgP2lCvbxs/hx6DR6f12/g0rnLhLpErQGgeJiCLRkIt+oLPp7O1nLvqBwsXS5xQiIqJIxgugEBFFLp7jiYiIiIgiii7YA/DV/fffjwsuuAAAnEJFjj83NTWhqKgIv/3tb2GxWNzuR626ujrceOON+NnPfgabzTbi+I6A02233YaCggLNj09ERJFt0phYHBWzcEJMCfZQiJT7agDod7PsktCfgPhM9PNIQwd+G12uWZjouJCB49+vBAwm1Q0zANDQ1oPyHXWKWlr0f74JpVPHyD6G6nY0y2l123lhs4uDjU6diMcq282Y2bcSV/b9Drf0/QpX9v0OM/tWYpXt5sHgRWV1A2x20dNu1YcR7DbFv4MjeKJE8fRsl409jnCSEu7CSVpztLFMy01FfoZxxPjrT3VjwcoqrNhcMyJc5QjxLFhZhfpTbp6DKh6z6wf+hWc3f+m0X7PF6nXSNCC93krW7kKnxf1rtrQoV1FYq6PXivIddYPBMLnPaQd/BsPCzska50macjjCjxRZLB3AtqeAFVOAFwqBdVdLP1dMkW63dAR7hEQhz9E4uGz+ZGSaDE7LMk0GLJs/GRvLityGbImICNJFP9bMli7uMfxzquOiH2tmS+sRERGNBo4LoGQXSj850ZyIKHLwHE9EREREFBHCPlAUFRWFF198EXq99KXEVaiop6cHv/rVr3DeeefhD3/4AxoaGnw+7kcffYTS0lJccMEFeOeddwaDQ0OP65Ceno5nnnnG52MSEdHo0zsA2KFD5cC8YA+FSLn9bibfxwlAfugXZeboWlER8wRydC0+7+uEmIKnrbfi6t7/wY9fb0Gnxaq6YcahsroB9o//V1GzTmn0JmSnxntfF0BCkvzwkRNDsrrtvHDV6GSHDkfE8dgjnocj4njYh329OWG2oLa1y/OOAxxGKC3Klf0YZKfGo3RmrstlWoaTAkmTEI+Kx2yc0IY8odFpv+VVdV7HMXQ85Tvq3C5PiIlCtF7ZfVtZ3YDcMQlOwTBvz2kgcMEwd2x2ETXNndhd14aa5k7voT1/UxsS8VP4kYKEE3eJNONoHNzxyFy8v3Q2Xl98Od5fOhs7HpmLsnn5bCYiIvJEwUU/UHETYDEHYlRERERERERERERERERuhf5MThlmzJiBp556Cg8++KBTkMcR8nEEfb755hs8/PDDePjhhzFt2jRMnToVF154IQ4fdj8Z8N///jd6e3vR0tKCuro67Nu3Dx9//DFaW1sHjwE4B4iGhpr0ej1eeukljB071h+/OhERRTidIL3P/M02G2VRbyBKCPKkXSK5uu3AkQHXy6ZEAQon3gdLtGBXtd0JMQX/z3o7WsUUtMOIWjFrMBjQdSaYsGTOJGSYYkeEZORqMffAvnudoisEGD5bj4rSJSgp3+MxSJGdGo//Lr0JWP+EsuCGMQtIy1cwIvnUNjp1eNsuwGEEkyEaFQsLvIZqslPjUbGwwOOk3dKiXLyx95isUIyncJI/2OwijrZ2wdwrhecmjk2EXieoCvGUzRv2nFL5mCWdad1qaOvB2qqv8efqekXbv7KzHkvmTHIZyjra2oWTXe4q2Vw7Ybag/lQ3igtysGJzjeztvndxZlCCYeYzIazKXfVO560MUyyKC3JQWpQLUzAmmRuSVG6XrOkwKIiUTtxd9CFgMAViZERhzdE4SERECuxcreiiH6heDVzxkD9HRERERERERERERERE5FFEBIoAYOnSpTh69CheeOEFp0DP0FCR4zYA+OSTT7B7926nfTiWDf155ZVXjjiWYzkwshFp6DqCIOCZZ57B1VdfrcWvSEREo9CpM5OTb9dvYZiIwsuBAcDdU/aSyL6qeb09HSXWR9EgZrhdp7K6AUvmTFIcJBhqotCIqO5mZRt1NiJHbMSGsiK8tKMOldUNOGG2DC7ONBlQPD0bpTNzpSDL1FKp1UGuaaWATq9sTDKpbXRK8rZdEMIIOWMS5D8GHmgZTtKKp9DJj7+TjT/vUhbicbxWnAI0Kh+zDiQM/v8rO+sVB4BaOvtQ29rlcnK1L4G30qJc/G33Nzh2ulfWNv862Iyl8ycHtCGi/lS32+dZs7kPKzbX4I29x1CxsAA5YxJc7EFbToG12HHIN46DECLhRwoCTtwlIiKiUGC3AXvKlW2zuxyY9aDfvkcTERERERERERERERF5EzGBIgB47rnnYLPZsGbNGqdmoqEtQsPDRt64WmdoG9HwdYYu+81vfoMlS5ao+l2IiIgAYMAO6GDHXVHvBXsoRMrsdzNRP0UAxkfuRJly61V42vZDdCHe43onzBbUtnYpapgZznSmbUUxy2mY0qNRNi8fS66YgGOHP0OvuQ1xplSMz/829FFDviIULgb2VcqbqJ2SC0xfrG5MMkwcm6i40SnTZEDe2ETPK6VNBozjFDUxtQhj0CtkIUf2FiOZDGcegzmTUNvahY5eK5LiopF3pslHLq3CSVrwFjp5Zov7Zlh3HK8VpxCPisesSUxFrZg1+GelYSKHtm7X26kNvH3T1gNTXDTmXZiOlz+SF7Y61t7rurnJT8wWq9fQGiA1P5Ws3YWNZUXOzze7DThZI7XIGJKkx0/lhEl3gbXHEmbjXrwqf0d+DD9SgPlz4q6Gz10iIiIaBU7WKGv4BYDORuDkYSD9fP+MiYiIiIiIiIiIiIiIyIuIChQBwP/+7/9i4sSJeOSRRwZbgoCRASJPoaChhq/nbv2hx9Hr9Xj++edx7733qv49iIiIAEAnAPnCMRgFi/eViULFSRvQaHe97JJowM3nq0iwwX651zCRQ0evFfkZRlkNM67EJKQAAyoGaUiWJkfvXA39nnLkDJ3wZBwntRIVLpYmTxuSgJK3gIqbPIeKUnKl9QwmFQOSR68TFDc6FU/P9h7O0ekVNzFV9M/B2+V7RgYnVNDrBJeNN0poFU7yhdzQiRodw9t/VDxmlQNzYYfO57F0Wlw3EakJvAHA0tf2AZDe75Vw2dzkJ+VVdbIf14a2nrNhpzPnGewpd55YOfw8I4fdhsYj+/DbN3bisFmPVjELGPJ4ruqej6tj/o0cXYv3ffk5/EgB5o+Ju1o+d4mIwg3DlETqWTpUbnda02EQEREREREREREREREp4fuMqhD085//HFu2bEFubq7LdiLgbMDIW1PR8PVcBZOGholyc3Oxfft2homIiEgTSQYdLhDkNRYQhYz9rifcAwAuiQncOIKgAwmy100602iSMyYB//jpTHxrvLLJyTMKL5cmNythzAJ0UcCa2VIYY/gk7M4m6fY1s4G2Wum21Dxg0XZgzuPS9sP3N+dxYNGH0np+VlqUi+xUeYGt7NR4lM7MlbfjwsVSyECGens6ym3XDAYnQokjnDQtNxX5GcaAhYkAZaETpZJctf+oeMy0YHTTROQIvKll916e68TR3ORvNruIyl3KPodUVjfAdrJW2XnGHUsHsO0p2P94IbIq5+CFvkfxfuxD+Cj2fpTp34QR0nOuE/EosT6Kenu65/0FIPwYVuw2oOUQ0LBT+mm3+bxLm11ETXMndte1oaa5EzalT26ltJ6426bRc5eIKNycec/FiinAC4XAuqulnyumSLerPd8SjSZqA8eGZE2HQUREREREREREREREpEREBooA4IorrsCBAwfw2GOPISEhYUSwyF3zkBzD9yGKIqKjo/Hggw9i3759uPzyyzX5HYiIiPrtOgjw80RMIi2JIvC5m0DReD2QGrEfP9EkpqJWzPK+IoBMkwF5YxNhtljx7ObDuPqZ7dh3TP4kvezUeNxdNFFqSlDi2z8G/nyL57YhQFpecRNgMUt/NiQBVzwELD0A3FcN3POe9HPpAen2AE3ONxmiUbGwwGuoKDs1HhULC+S3BxmSYLv9LRxDhsfV6u3pKLE+OthCVVnd4P/J8mFATehELsdrZQRHe5aXUNHwx8xhTIK6cGNje6/bkISSwJsWRjQ3+cHR1i7FrUvd5jbY1t+o/Dwz3JBgh67rhNOiTKEdy6Jfx4aYx5AtNAMAGsQMLOhfjqett6IrZliwKMDhx5Dnh0njjvezGU9uwVUrtuPW1R/jqhXbMePJLXh282GY3bR7+UzLibuWDu+NfID35y4RUbhhmJJIG2mT1V30Iy3fP+MhIiIiIiIiIiIiIiKSIXJndAKIi4vDb3/7W9TW1uIXv/gFsrKynBqGhgaDlPwHnG0uSkhIwJIlS3Do0CH8/ve/h9FoDOavTEREESYmSoduxAV7GETyfWMDTrsJWFwiM9wRpioH5sIu8+N18fRsHGvvwfXPfoANW7ZifOd+5AvHoIPd67ZOYRkFLS1IyQVEeJ8o7dBeB1Svdr5NpwfSzweyC6WfOr28fWkoZ0wCNpQVYdn8ycg0GZyWZZoMWDZ/MjaWFSFnjPy2KAA4ahuLay3/g6ett6JJTHVa1iSm4mnrrbiufzkaxLOho0C1xIQ6NaETuYqnZ49oWhpsQDEn48hN78L+3cfQOSxA4u4xcxhQGQRb+to+tyEJuYE3rbhsbtKYWUVoqVS/CTFmmQEzV+cZQHawI0fXgoroJ5A4pKlole1mXCU+D9tPdgYt/BjS/DBpvP5UNxasrMKKzTUjzgXN5j6s2FyDBSurUH+qW4vfwJmvE3eHtjRt+W/f3iOJiMIRw5RE2tHplV/0Y1ppUL5XExEREREREREREREROUQFewCBkJaWhv/3//4ffv3rX2Pz5s3YsGEDNm3ahCNHjqjaX1JSEubNm4ebbroJ119/PUNERETkNxPSEtDexfcZCiP73Ew+1wGYErkfPe3JuXi/72ag3fu62anx+MGF8fjofxfiDWsVxsR2Di47IaagcmAeym3XoHNYo0qmyYDi6dkonZl7tnnH0dLibRJgSi5w++vAy99X9ovtLgdmPRhyE5xMhmiUzcvHkjmTUNvahY5eK5LiopE3NnFE+EQuc691MIzwvO1G5AmNSEI3OpCAWjHLbVgsEC0xWrPZRRxt7YK51wpTXDQm+nC/AepCJ3Jkp8ajdGbu2eNYrCivqkPlrnqn0EKGaSpuvXQB9n22G73mU14fsyid4PPj5ghJvLH3GCoWFgwG2ByBt5d21KGyugEnzBafjuOO2+YmjZkUhpZ0sKM4aouyg7g6z+xcLTvYkaNrQal+E1bZbh68rbHTilqMR372BcrGEumUThpf9KHXEJbZYkXJ2l1oaOvxuF5DWw9K1u7CxrIi+e1xcjgm7m5bLn+baaVAf5f0PNtTPjJYJVeIvkcSESmi4D13MEx5xUP+HBFReCtcDOyrlPe6SskFpi/294iIiIiIiIiIiIiIiIg8itxZnS7odDpcddVVuOqqqwAA7e3t+PTTT/Hll1/im2++QWNjIzo7O9Hb2wur1YrY2FjEx8djzJgxyM7ORl5eHi699FKcd955Qf5NiIhotCicmIqNdf6fMEykiQEROOhmkn5+FBAfpuWYgh4Qbe6Xp+RCV/IW1ogZXidVX5Ai4tX8DUhcsw63wA4My3BkCu1YFv06btFvR4n10cFmlbsuz8Evvz/FdegjNQ9YtB2oXiNNbu5sPLvMmCVNnJ6+GDAfVz5purMROHlYaiMKQXqdgPwMbUKXQ4MTduhwRBwvazvNWmLsNuBkjTTh35AktW5oPEndfSAnFsUFOSgtyoVJxUR/paETOZyauCA1oLh7fTWb+/D8B3UYlzQegmk8Gjvch3iS4qI1DYG5CkkMD7wdON6Bpa/t0+yYgOvmJn+YODYRGaZY2Q1UE4VGZAoykpVDDT/P2G1SyEOB4qiteN52o1OILBzDfn7nh0nj5VV1XsNEDg1tPSjfUYeyefnyxiCX0om7k6+RWpjk3hfuhPh7JBGRVyrecxmmJPJCyUU/St5igyYREREREREREREREQXdqAoUDZeSkoK5c+di7ty5wR4KERGRS0eaO3FUzEKbmIhUoSvYwyHy7PAA4G4e/yXaBw4CJiYRuLQY+OJt92Edgwk5gNtmkkyTAT+5RIeSw2XQ7WvwesgcXQsqop/Adf3L0YV4vPdFM375/SnuNzAkSZO+Zz0oTW62nAYMyUBa/tnJfi0HVf36sJxWt12YURqcADRqibF0uG7JMI6TWjcKF0uPr4+8BXJcte3INXFsIsYkRONUt/IAh04A7OLZP7tq4pLbgNLUYcH45DgsmTMRb+w5PuI1eFvBufhzdb3iMXrjLiThCLxpHWwZ3tzkT3qdgOKCHKzYXCNrfRO61R1o6HnmZI3i8OM4oQ15QqNTEFCzsF+k8MOkcZtdROUuZa+pyuoGLJkzSdtAnJKJuz9cD7xW4nuYyGGUvEcSUYRS8Z6rWZiyrRZIvJjBJIpMci/6wTARERERERERERERERGFgFEdKCIiIgp1ta09sEOH4/Y0pOoZKKIQt9/NpPlYAJPD+GNnXwfw1T+Bn3wEdDW7DuucMbyZpKPXiqS4aOQZbdC/eAXQ4T1M5JCja0GpfhNW2W7GCbMFta1d3tt4dHr3k/vUhlIMyeq2CzNKgxOABi0xbbXuJ8B3NgHblkutGyVvSZPSAFVNRnIDOa7aduTQ6wTMuyATr+3+RvY2DnYR+NOdU5EcHyO9VsYmjrhPlTSgHDvdi9goPXY8Mtf5NTg2EUdbu/DM5sOKxyiHp5CElg1Ow5ubAqG0KBdv7D0m6zFISBrjPljqydDzjKVDxQ6ApCFhJk3CfpHGD5PGj7Z2KQphApD/fqaU3Im7O/9XuzARMGreI4koQql8z1UcprR0AJ+sA5B39ra/FgPRdk0D9EQhRc5FP4iIiIiIiIiIiIiIiEJAGM/sJCIiinw2UYQOdmTpTgV7KESe9diBmgHXy6ZEA1HeQxfNYjIyhNPajksr7XXArjXAdx+RtbqjmWTQtqdUTWAujtqK5203wg6d7y0naZOl1hsFE8oHEsYhKi1/xO02u4ijrV0w91phiovGRBchkHCkJDjhc0uMpcN7mwYgLa+4CbhrI/DZn1U1GSkJ5Lhr2/HmtoJzVQWKACA5PgbTclNdLvOlAWV4YMGscVPQUJ5CEmrar+Q0NwWKyRCNioUFLkNpOtgxUWiECd1ISBqD/y69HnjlCWXBFWOWNLHSQeWE4g6cbdbyOewXifwwaVzta0rr1q5B3ibuqmlp8mT4c5eIKNwE4oIDjgB9rxW44AnnZe4C9ESRxNNFP4iIiIiIiIiIiIiIiEIAA0VEREQhLDkhGhOFRowROoM9FCLPDg4AdjfLLvE8+V0Ugf8buA5GoQfFUf/Wfmxa+eApabCX36ds8p0PE5jHCW3IExpxRByPJF9bTnR6KXiybbnsTV7q/y5+1G+H0SBdQdlssaK8qg6Vu+qdwhEZplgUF+SgtCgXpgCHHbTkKTgxlCYtMTtXyw+ZtdcBq2e6ntjvZSKmL4EcJYGMb41PRnJcFE73ugkWeuDpua1lA4qWTUGuuAtJqGm/KpuXj+suHufUsBTMgEzOmARsKCvCSzvqUFndgG5zG0r1m1ActQWZQru0kgVSmGjMJGWBommlzldpVxF+bBJTUStmAdAg7Bep1E4aj3XfJKT2NfWPzxoxOdPov/cLdxN31bQ0eTL8uUtEFG5UvOcqClMODdAbznG/niNAv+hDwGCSPxYiIiIiIiIiIiIiIiIi8pku2AMgIiIi96IgwITuYA+DyLv9btoGkgQg2/NkW0EAumHAXP1n2o9LS6Id+OBJYM1s6UrbQ9ltQMshoGGn9NNuO7vMxwnMSehGpsmAvLGJqvcxqHAxTnuazDdEvT0dz3TOQ/mOOunPp7qxYGUVVmyuGRHwaDb3YcXmGixYWYX6U8E/Z9nsImqaO7G7rg01zZ2wDa168cIRnFg2fzIyTQanZZkmA5bNn4yNZUXIGZPgZg8yqAmZeWgJAXB2IqbF7HSzL4EcJfQ6AXfNmKBoGwBen9taNqA4moLk0MGOfOEYpgpfIV84Bp3bxORZnoJRpUW5yE6Nl3Xs7NR4LCyagPwMI6blpiI/wxgSbTsmQzTK5uVjx70TsCf9v7Es+vWzYSKHziag7kNAJ/PaJSm5wPTFzrc5wo8KVA7MhR06bcJ+kcoxaVypipullj0XDUdKXlNDrd9ZH5z3C7UtTa64eu4SRTJPn3UpfKl4z1UUplQaoK9erWwsREREREREREREREREROQzNhQRERGFMGNcDFrgw6R1okBotwPfuJlUeHG0lBjyoiTqfYwVzF7XCwlDr6ANUZoot6fcOTRkHCdNzitc7PME5g4koHh6tiaBAluMCffYHsMK+2+Qo2txu169PR0l1kfRhXhUVjfgzstzvLb2AEBDWw9K1u7CxrKioEzo16pByRGcWDJnEmpbu7RvidG6JcPBMRHziocGb9IykOPNwlkT8NJHdYq29fbcVtuA4ircI6cpyIiekc07AE6IKagcmIdy2zXoxMhgkLdgVEDbr/zJ0gH9n2+C3uyl9co+IIWK7B4aq1JypVYtV00EhYul1i0Zk5Dr7enYGH8jlhVORunM3NC974JNRUsdAKDrhNsWNDXtWw5Beb9Q29I0nKfnLlGksXR4/6yr1WuLgkPBe66iMKWaAP3ucmDWg2x/IyIiIiIiIiIiIiIiIgogNhQRERGFsLGJsTgqZuGEmBLsoRC5566dCAC+JW+ScNiEiRza64BtT0htRduWjwyHdDZJt6+ZDfR1qj5Mk5iKgeSJKJ2Z69NwHY62dmFvZwoW9C/H09Zb0SSmjjje09ZbcV3/cjSIGQCktpo/vl/jNUzk0NDWM9hqFEj+aFDS6wT/tMRo2ZIx3O5yp9YALQM53pgM0aj8z+mIknk/ZafGe31uq2lA8RTu8dQUlC00Y0PMYy6bdzKFdiyLfh0bYh5DttA8Yls5ob+AtF/5m5KmAfsAMGE2YMxyvt2YBcx5XAplDgmnODEkSYGNlFyPh7AYsyHe8Sbef3QByublM0zkTeFir/epW25a0JS0bw0X8PcLtS1NDnKeu0SRpK1W3mfd4c2dFF5kvucqDlOqCdB3NgInDyvbhoiIiIiIiIiIiIiIiIh8woYiIiKiEJaWGAs7dKgcmIdl0a8HezhEI4mi+0BRlg5Ii+CrS1evAUQ3zUwO7XXAuz8HEjOArpEhBG82xlyNl//jcs0myTvaajoRj1W2m/G87UbkCY1IQjc6kIBaMQt2F9cc2LCvUdFxKqsbsGTOJO0COF6YLVZNG5RsdhFHW7tg7rXCFBeNiVo1Ezn480r+jomY6ecDOBvIGR6y8sRb244nU7KS8PZPZ6L4xWqPTUVym3jUNKB4Cve4awoyogcV0U94bO4CgBxdCyqin8B1/cvRdaapSE4waujx/dp+5U9qmgZOHgF+tk+abG45DRiSgbR8ec0DqXnAou3SuXZ3ufTcdjBmAdNKYZi+GLlsiZHPMWm84ib5wbChXLSgyW3fcieg7xdqWpoK7gUuukXZc5coElg65J0rhjZ38nwcvmS852L6YmWPsdoAveW0uu2IiIiIiIiIiIiIiIiISBUGioiIiEKYo+XhA9tFuD/qTUQL9iCPiGiY4zagzc3z8mJlIZh2MQEpgvz2mKDzFiZyaK8DcmcrDhR1GM7Bj36yHMYk7dpKhrfV2KHDEXG81+3aejy0ULlwwmxBbWsX8jOMirZTG+Qpr6pT3KBUNi9/xDKzxYryqjpU7qp3CuBkmGJRXJCD0qJcmLQIdzlaMpRetV2uIRMxtQ7kyDElKwkfPjwH66q+xis763Gyq39wWabJgOLp2SidmSs7KFdalIs39h6T9RjLCfc4moJe2lGHyuoGnDBbUKrf5DVMNLi9rgWl+k1YZbtZdjBqOEf7VVhR2zTQVjsYcFPMkCSFV2Y9KAXllIaSaCSnSePrlD+mu8ulx2PI/e94Tf3hva+w/uN6RbtT+36hWuFiYF+lvEBVSi4w9/9jSIKCw26TzruWDulcmDY5sOc9JY10LsKGFIa0fs9VG6A3JKvbjoiIiIiIiIiIiIiIiIhUYaCIiIgohCUlROMGoQrPxLwAIcSLC2iUctdOJEBxoMiEMAoTKXWqBkjOAU7Lm2gtJo1H0l3vAEmpmg5DTVtNanwM2nr6va84jKd2muF8CfLY7CIqdymbwO6qEaP+VLfbho1mcx9WbK7BG3uPoWJhAXLG+BjyUtOSocSwiZhaB3LkMBmi8cCVk3H/3Hyfm3jkNqAoCfc4NQU1dyCnYimgoFylJHorYub8F+4umqhZg1jIC2bTgE6vPpREIzkmjZ/3PWD1TGXbDmtBczAZonH9t7IUB4oAZe8XPpPb0pSSK63HMBEFmqVDCvPsKXcO/BnHSZ8dChf7t+kQUNdI5yJsSGFKq/dcNQF6Y5YUYNJCsEN5RERERERERERERERERGFCF+wBEBERkXvHvtzDMBGFLpsIHBhwvWxSFJCg7KOmPpKf550ngOueliYoyyAI/vmY7mirUWLBt8apOlZSnLyQRf2pbixYWYUVm2tGBJ0cQZ4FK6tQf8p14Oxoa5eigBRwthHDwWyxeg2rAFK7UcnaXei0aDD5vXCx7OeDIi4mYjoCOdmp8R43Vdu244mjiWdabiryM4yqm48cDSjL5k9GpsngtCzTZMCy+ZOxsaxIcdhLrxOQr29CTI+yBrF0tOH+SzB6wkQAmwYiUX+X93VccRMSG96CJ5fc9wvNOFqa5jwunTOHMmZJty/6UFqPKJDaaoE1s6XA8fAQRmeTdPua2dJ6/qS2ke7kYf+MJ9LYbUDLIaBhp/TTLrP1NNw4AvRKTCv1PfRj6QC2PQWsmAK8UAisu1r6uWKKdLvagDQRERERERERERERERFRhBqVDUVz584NyHG+9a1vYcWKFQE5FhERRaa76h9hmIhC15EBoFd0vUxhO9GoEGsE7toArC7y3thxukFqT1j0oebtCErbapbNn4z3vjihKLSTaTIgb2yi1/WGB3l0sGOi0AgTumFGAo6KWbBDNxjk2VhWNCLAYVbZbDG0EaO8qk7W/QFIoaLyHXUom+fj1dPltmQYkpU1vLiZiOkI5Ly0ow6V1Q04YbYMLss0GVA8PRulM3NDOiDj1CrkY+uRE5UTS080NyFzNLXmBLtpIJIFq0VB45CYmhY8ue8XmnO0NM16UApBWE5Lv1daPhssKDgsHd4/EwDScn98Rhx6HvI2Bne0aKSLZKHQPhVohYuBfZXynlMpucD0xb4dr63W/evIEcrbVyl9BmdolIiIiIiIiIiIiIiIiAhACAaKvvzyS9jtdrfLo6KiMHnyZJ+OsW3bNgh+np0tiiI++OADXHXVVbj22mv9eiwiIopQ/b3IFFuCPQoi9/a7CXLEADg/5D5mBp8hGfisUv5ky/Y6oHq1NOFZQ462Gm+NPI62muT4GBQX5GDF5hrZx5iQloDu/gGYvIRTHEEeI3pQqt+E4qgtyBTaB5efEFNQOTAP5bZr0NAGl0EeXxsxbHYRlbvqFW1bWd2AJXMm+RZiAc62ZFSvAXaXS1f3dzBmSeGgbxUDL1+nyURMvwVyAszReqQZlZN3/2vjN3gh3xrSISxNOZoGti2Xv40WTQORLNiTyzUOiTla8JS8XxRPzw7u+UenB0ZTMJBC187V8oM8Wn5GdHceUoONdO6N1qDL0AC9p4sApORK6/kSkgt2KI+IiIiIiIiIiIiIiIgoTOmCPYCh3nvvPUyZMgUXX3yx2//effddzY4niqLf/nPs/6c//Sn6+uRfnZeIiGjQp+sRPtO7adSxiMBXA66XXRgNRPPZ68SYJU0O3FOubLvd5dIV4zXmaKtZNn8yMk0Gp2WZJgOWzZ+MjWVFyBmTAEBqNcpOjZe9/49rT2HByirUn+p2u44jyJMtNGNDzGNYFv26U5gIADKFdiyLfh3vxT6E7wkf4+OPq2AbcH7eORoxlBjaiHG0tUtRmwYAnDBbUNvapWgbtxwtGUsPAPdVA/e8J/1cekC6PXm8NMEyJdfzfhRMxHQEcqblpiI/wxhWYSK/cIQqFGgSU7HjdArKd9T5Z0yhqnCx9+eigxZNA5GsrRZYM1uaRD58Er9jcvma2dJ6atltQMshoGGn9HP4+4kjJKaEl5CYkveL7NR4lM7MVXZ8Clk2u4ia5k7srmtDTXMnbHY3LZY0kt0WnM+Ins5DSrGRzj2lQReLORCjChxHgL7g3pHLjFnAnMelcI+vQSo1oTwiIiIiIiIiIiIiIiIiCp2GIlEU8fDDDw+GcVwpLi7GAw88oNkxA9FSVFdXh9WrV+NnP/uZX49FREQR6PQ3wR4BkXsHrYC7OYwXj5K2DiWmlQJtR5VP1uxsBE4e9kt7gpK2GrmtRkM1tPWgZO0ubCwrctngcrS1Cz3mdrwW8wRydJ7b2LKENrwQuwoYAAZWPAF8Z+Fgc4evjRhmT1dL96BD5XZueWrJkNNkNH2x6qus2+wijrZ2wdxrhSkuGhPDrLHIZyqadyoH5sIOnXZtVeFiaNOAp0m7WjQNRDJ/tygoaT4qXCy1YmjQggYob8EbNQ1fEcxssaK8qg6Vu+qdAroZplgUF+SgtCjXa2PhqHeyJvCfEeWeh+TSspHObpPuE0uHdK5KmxzebXfBap8KJYYkYNo9wL//ffa22/4CZF+kzWOrNpQ368Hwfm4RERERERERERERERERaSBkAkV/+9vfsH//frchn/z8fPzpT3/S9Jiewku+EgQBgiBAFEU8+eSTuPfeexEXF+e34xERUQRKPjfYIyByb7+bMIVRAHI5KcuJYwJ2y0F121tOazmaERxtNd44Wo0Wrd+Dj2tPydp3Q1sPynfUoWzeyCvWm3utKNVv8homGi6qu1kKfuyrlAILqXkoLcrFG3uPyQo7DW/EMMWpm+ScpHI71RxNRrMelCYQW04DhmSpDUDlREhOApfY7CK+zrsDmbsqkNjjPcxbb09Hue0aAGfbquS8hiKGnwNuo4I/J5e31boPCTiaj4acP/0REnO8X7y0ow6V1Q04YbYMLss0GVA8PRulM3MZJooA9ae63YbHms19WLG5Bm/sPYaKhQWDrYfkgqVD5Xan1R9TyXnIG60a6ZSEIcMFgy7upU7Q7ncMRiiPiIiIiIiIiIiIiIiIKEKETKDo97///eD/i6I4GCwSRRF6vR4vvfQSDAZDsIan2NDfoaWlBX/6059w//33B3lUREQUVi69E+I/H8Io6TygcHLaDtS7qSe6OBoYLU0dcgydgK12AqQhWcsR+SQhJgq1J7sUbeOuwcUUq0Nx1Bb1gxnS3GEymFQ3Ykwcm4gMU6xToMabTJMBeWMT1Y/dF56ajBSIpEngahuWhgeqsoVlqIj23JhVb09HifVRdCF+8DbN26rCgR8CbkNFdGuWPyeXq20+8kNITEkLHoUns8Uqq7nQW2MhIfCfEdWch9zRqpFOaRgyXDDoEhjBCOURERERERERERERERERRYiQCBR9+OGH2LNnz2Cjj4MjlPPAAw+gsLDQ7+Nw146k1NDfwfE7Pf/88wwUERGRMjFxOBmVibEDJ4I9EiJnn3uYPH8JJ4oCcD0BO22ydIV1JZMKjVnSBP0QcbS1S1HwBnDf4DJRaIReaPdtQEOaO3LGJGDDTy/HPzZvw/b9R/B1dzSOilmwQ+exEUOvE1BckIMVm2tkH7Z4enZYT4iPlEngshqWYnTSZF5LhzRhO20yoNO7DFQ1iBlY0L8cd+s3oThqK8YJbYPLmsRUVA7MRbntGqcwERCEtqpQolHAzWFUtGb5c3K5L81HfgqJyW3Bo/BTXlUnqxkQ8NxYSAj8Z0Q15yFXx9eqkU5tGDIcMOgSGBFw4QYiIiIiIiIiIiIiIiKiYAmJQNHatWud/jw02JOWloZf/vKXARnH0CCQLxwhoqEtRYcPH8bWrVsxd+5cTY5BRESjw5ZLn8WPdv0IGmVeiXwnisB+N4GiDB2Q4XszRdiLHwv8bB8QFeN8u04PTC2VrrAu17RSTdo+tGJW2cTiqsFF32/2dTiS3eXAd/4T2PV/MO0pxx2dTbgDAGKB/vgMdE65A8lzyqCPT3a7i9KiXLyx95isidHZqfEonZmrzdiDJFiTwLVsnfHWsPSnzZ8hsfpp3BXzb0R1DwnmGsfB8q07sXjPJWhoH3nsTsRjle1mPG+7EXlCI5LQjQ4koPZMOG24oLZVRZhIas3yyF+Ty7VqPtI4JEaRyWYXUbmrXtE27hoLCYH/jKj2PHTT/wEpOZo20gHwLQwZ6hh0CYwIuHADEZGm7DaXF9YgIiIiIiIiIiIiInIl6IGi7u5uvPHGGyPagRxhnF/+8pcwGv13NVtH+EcQBJSWlmLWrFk+7W/Tpk149dVXR7QtAcDLL7/MQBERESkz9gI80H8fnol5gaEiCg1NduCk3fWyMG0nEkVo+/rqaQXaal1PyC5cDOyrlDdpMiVXuup7CDGpbGJx2eCidoLlcJ2NwOqZgPn4iEUxPc0Y88nTwJE3gJK3gNQ8l7swGaJRsbDAa2tPdmo8KhYWjGzrCaPJOsGYBO6tdeauGTlo6eyTHTTy1rCULTSjIvoJ5FhbgOFZts4mGKqewmp7OkqER9EgZrg9jjDspyvh3lYVKiKlNUsWf00u92fzEdEwWjYW0hmB/Iyo9jw07lvany+0CkOGKgZdAiMCLtxARKQJS4cU1N1T7vzeYxwnnScLF2v3dzFEREREREREREREFDGCHijauHEjuru7nYI9DuPGjcOiRYsCNpYZM2bgrrvu8mkf1157Lf7xj3/AYrEM/i6O3+2dd97BwMAAoqKCfrcTEVGYaOu24h1xBn6JCoxBZ7CHQ+S+nUgAcHHoTe62iQL0gucWSkEABkQdogQ3QSkVGhob0dKTPjIcYUiSgi0VN3meMJqSK61nMGk2Ji1MHJuIDFOsoknEbhtc1EywdMdFmMhJe510ny/60O19mjMmARvKivDSjjpUVjfghNkyuCzTZEDx9GyUzsx1DjGEwWSd4a1ANrsY0EngclpnVm6pgW3Iy9QRNCotyoXJRWjEU8OSET1SmEjX4nFcOboWVEQ/gev6l6ML8U7bl+o3oThqCzKF9sHbT4gpqByYh3LbNeg8s34ktFWFCn+2ZmnZjKUJf00u91fzEQVNyD13h9CysZDOCORnxFAKuUR6GJJBl8AJ8ws3EBH5rK3W/eeIzibpvWhfpceLrRARERERERERERHR6BT0ZMuGDRtG3OYIFi1ZsiTswjfp6em499578eyzz44ISXV0dGDLli24+uqrgzxKIiIKF+mmWBTp9mOMwDARhQC7CBxwMxF0gh4w6gI7Hi9OiwlIFrplratlmAgA7nn1MI6IvQBchCNS84BF24HqNdIV1jsbz25ozJImEU5fHHJhIgDQ6wQUF+RgxeYa2du4bXBRM8HSF+11QPVq4IqH3K5iMkSjbF4+lsyZhNrWLnT0WpEUF408V5O4Q3yyjrtWoNR4dcE/NZPA5bbO2IZl/hxBozf2HkPFwgLkjEk4u66XhqVS/SavYSKHHF0LSvWbsMp2M4AhzUYuts8U2rEs+nXcot+OEuujQMoE121VQRTs8IHa4/urNctbM5a7wJrf+Wtyub+ajyjgQva5O4SmjYV0VqA+I4ZSyGU0hCEZdAmMML9wAxGRTywd3s9/gKyLrRARERERERERERHR6BPUtI4oivjnP//p1OTjEBsbi8WLw/MfUJctW4Znn33W5bL333+fgSIiIpLtwlSgKOr/gj0MIsnRAaDbTdvPJaE1QbTeno54weJ9RT9oElNRK2YN/tllOMKQJAVbZj0oXWHdclqa1J2WH/JXJC8tysUbe4/JahPx2uCiZIKlFnaXS/e5l/tYrxM8t/GE+GQdT61AbT3q2iHUTAJX0jrjSkNbD0rW7sLGsqLB4M7R1i63DUs62FEctUXRMYqjtuJ5241IgEV2s9E7SX+AblEVjEkJHtcNFDnhg2Af31P4wdNj6o631iw5zViuAmsB44/J5aHUOEKqhfxz9wxNGwvJWaA+I4ZKyGU0hCEZdAmcML5wAxGRT3aulv/3KjIutkJEREREREREREREo0tQLyN/8OBBnDp1CoAULnL8FAQBV111FVJSUoI5PNXOPfdcTJ061amdCJB+t+3btwdxZEREFG7GflGOTN3pYA+DSPK5myBCNIAL/BcoEt1kmNzpFmOxwz4FYwWzfwbkReXAXNhdfMx2hCM6LUPuR50eSD8fyC6UfoZ4mAiQWnwqFhYgOzXe43rZqfFeG1zMiMdLec/gGDK0HqZrnY3S5FxfqZmsEyByW4GUUDMJXE3rjCsNbT0o31E3+Gezh6akiUIjMoV2RfsfJ7QhT2hU1GyUZDkO42d/UnQcf6k/1Y0FK6uwYnPNiIn9jvDBgpVVaDzdG9Tj159y3xbn6TH1xF1rltzXgMtzcqA4Jpen5HpeT8nkckfjiBL+ahwhVcLiuXuGo7FQCbeNheSavz8j+uM8pIYjDKlEOIYhHUGXOY9L4x/KmCXdvujDoLRaRhxHKG/pAeC+auCe96SfSw9ItzNMRESRxm4D9pQr22Z3ubQdERERERERERERERGCHCj6+OOP3S774Q9/GMCRaO+GG25w+rMjWPTZZ5+hu9v9ZCoiIqJBdhuSDr4S7FEQSfpE4NCA62XnRwMx/psgKijcdYLQh+Kof/tnMF7U29NRbrvG7fLh4QjN2W1AyyGgYaf0008TRHLGJGBDWRGWzZ+MTJPBaVmmyYBl8ydjY1mRx/YERxDh1zt6cK3lf/C09VY0ial+Ga8Ty2nftg/xyTq+tgK5omYSuJrWGXcqqxtgs0vJQpOHpiQT1H3PSkGX4majUJiApSR88Oibnwf1+J7CD54eU0/ctWYpeQ34/ZzsiT8mlxcu9h4OcPBn4wipEjbP3TNKi3K9hosdvDYWUnCEQshlNIUhGXQJrDC8cAMRkSona5S1lALaXWyFiIiIiIiIiIiIiCJCVDAPvmvXrsH/H9rko9PpsGDBgmAMSTPf+9738Mtf/hIAnJqKbDYbDhw4gOnTpwdzeEREFA5O1iCmpznYoyCSHLICbvJEuMR/7UThpN6ejhLro+iC+8m1Otjx8cdVWDLxJPTxydJV2bWY3GbpkFpz9pQ7TyQxjpMmaRYuliYxashkiEbZvHwsmTMJta1d6Oi1IikuGnljE72GT4YHEToRj1W2m/G87UbkCY2YLHyDX0T9GVm6Nrf7aLSnelzuliFZ+TZD+TJZJ/18347thVatQEOpnQSutnXGlRNmC2pbu5CfYcTEsYnIMMW6DCuZ4T7A5olJ6FbcbBSox9QTJeGDpg5LUI/vCD+UzRvZKOHpMXXHXWuWmtdAZXUDlsyZFJzmFMfk8lkPSs8ny2npHJWWr+69wdE4UnGT5xY1fzeOkGJh99zF2cZCb8FCOY2FFERan4fUKFwM7KuU1/4YCWFIR9CFiIhIC5YOldud1nQYRERERERERERERBS+gtpQdPDgQac/i6J01emLLroIJlN4T2y56KKLoNdL//AuDLus/hdffBGMIRERUbhR+w/CRP7wuZtwQIIA5I3uqz3bRAF/tN6C6/qXo0HMcLmOET0o07+Jj2Lvx18GHoD+pWuAFwqBFVOAbU95f717ah5qqwXWzAa2LR8ZdOlskm5fM1tazw/0OgH5GUZMy01FfoZR1sRmd0EEO3Q4Io7Hu/bLcXX/71y2FjWJqXjaeiuu6X8SJ8QUZYM1ZkkTZH0RwpN1tGwFAnybBK62dcadjjMBJb1OQHFBjst1jopZip8TTWIqzKK8ho0RhjymNruImuZO7K5rQ01z52Cjkr/4Izzm7+MPbZoaytNj6o671iw1rwFHYC2otGxRCIXGEVIsXJ+7WjQWUogIZpuLIwzprWGNYcjAC1D7KRER+UDtxWN8vdgKEREREREREREREUWMoDYUHTp0aETYRhAEzJo1K0gj0k5MTAwmTJiAo0ePjlg2PEhFRETkksZtIkSqme1ArZvJYxdHA0G6Mn6o0Asi3rVPd9tMlC00oyL6CeToWkYudAR+9lVKEySHT/D21jz07WLvTRSAtLziJmkSeZAnYcoNIgxtLfpO4kmM0feixqxHrZgF+5nrIlQOzMOy6NflH3xaqe8TZEN4so7aVqDU+Bi09fQP/jnTZEDx9GyUzsxV3SihpnXGk6QhAaXSoly8sffYiFCaHTrFz4nKgbk4DaO6QRmSYbZYUV5Vh8pd9U6/a4YpFsUFOSgtyoXJD60cWofHAnH8oU1Tw7l7TF1x15pls4v44ri6wF+Hho1aISEUGkdIEbXnb788d+02qY3P0iE9l7y0KfrSWEi+sdlFHG3tgrnXClNcNCaG833uCENWrwF2l0tNgA7GLOkz3PTFQf8cO2oEof2UiIhUSpssnZ+VNClrcbEVIiIiIiIiIiIiIooYQQsUnT59Gu3t7RAEAaIoOgWLpkyZEqxhaeqCCy7AkSNHRoSmGhoagjQiIiIKJ/3Jk9AmpiBTaA/2UGi0c9dOBACXaD9RPhwlodvl7Ub0uA8TDeUq8NNW6z4s5Agi7XxBfvNNex1QvVqaZB5ESoMIduhQ3ZU+4nYd7PjAfjGKxS3yzpMpudJEVF+F8GQdta1Alf85HXqdoOkkcEfrzIrNNT7tB5ACTnljEwf/bDJEo2JhAUrW7hoRQCm3XYNb9Nu9v+YA9BmzUd56DXpgwAmF77ctSMWR0yl45KUqlyGYZnMfVmyuwRt7j6FiYYHm7RxqwwfBPr678IOnx3QoV61Z7kJdSiRp3KgVEHJCH47GEQp5as/fmj53fQwQOBoLyf+CFWb1O4YhQ4Oc7yDuLoZARESBp9NLn9W2LZe/jRYXWyEiIiIiIiIiIiKiiKEL1oGbm5vdLps4cWIAR+I/ubm5Lm9valIw+ZCIiEatrTUnUTkwL9jDIHIfKBqrAzKD9nEypHTAdVigVL9JVrABwNnADyBN6pXTPCQ3TOSwu1yahB5EvgYhjOhBmf5NfBR7P96O/ZX8MFHJW9pc1d4xWUeJAE3WcbQCKZFpMiA/w4j8DCOm5aYiP8OoWbtBaVEuslNdN3cpUTw9e8SYcsYkYENZEZbNn4zE2LPXyehEPEqsj6LePjKE5iQlF1F3vY3o+KTBZiMlKqxzcedLe7w26jS09aBk7S50WrQJANnsImqaO/GNjCYff/JH+GHoY5ppMjgtyzQZsGz+ZGwsK3IKZ9Wf6saClVVYsblGdZhoeGAt5Fk6gG1PASumAC8UAuuuln6umCLdblHX0kTBpfb8rdlzt60WWDNbmog6PDDrCBCsmS2tR0Hl6bznCLMuWFmF+lOuw+5hwRGGzC6UfnLCc+DI/Q7iuBiCxRyIURERkTeFi6W/95BDq4utEBEREREREREREVHECMlA0YQJEwIyhuHNQVpLTHSe2OFoY2KgiIiI5Pii0YyXbVdhQGRgg4Ko2QY0210vuyQa8PPnKa30iP67SnuTmIpaMWvE7TrYURy1RdnOHIGfnau9T+RTo7NRuuJ7EKkNIgBAttCMDTGPYVn06/KCRMYsYM7jUvOTlldQD9HJOo5WICVchXW04mid8SVUlJ0aj9KZuW73v2TOJCTEOk80bhAzsKB/OZ623oomMdVpWZOYijX622C7dzv0aXlYcIn02i23XeM9hHRGvT0d5bZrMGAXZa3f0NaD8h11stZ1x2yx4tnNhzHjyS24asV2LH1tn0/785W/wg8mQzTK5uVjxyNz8f7S2Xh98eV4f+ls7HhkLsrm5Y9oJvLWaCTH4GvAbgNaDgENO6WfQQ5fusTQR8QK6vmbAYKwIfe8p3WYlUYRJd9Bhl4MgYiIgsuQJF1ExdvfU2h5sRUiIiIiIiIiIiIiihhBm6Hc3u5+AmBSUlIAR+I/wwNFDmYzJ18QEZF3cdF6pAunESW4CXMQBcI+DxMRL/ZfSEdLNlFAvOC/CZWVA3Nhd/GxeqLQKC/0MlRnI9D6JbCnXKPRuaC01UhjaoIIgNRMVBH9hKzGpxP2ZBy87i1g6QHgioe0nywTwpN1lLQCeQrraMVT64zeSyAxOzUeFQsLnEIkwx1t7XLZTNOJeKyy3YyZfStxZd/vcEvfr3Bl3+8ws28lnui+HodPC6hp7sTc88dCJ8hvNqq3p6PE+ii6oCwkVVndAJvMANKIY2rQwqM1f4cf9DrBa2tWeVWdz2Gi7NR4lE5NDY/GnzAKfTiatHbXtaGmuVP1c3+0Cdr5mwGCsKHkvKdFmJVGGbtN+XeQEGg/JSKiM1LzgEXbpYuqGIdd9MZfF1shIiIiIiIiIiIioogQFawDWywWt8sSEhL8euzJkye7bCdKTk7W9DjuAkWefnciIiKHoklp+Phfp4I9DBrN7CJwwE0QJ1cPJIVHe5Ze8N9EZkdTiSsmdKvb6YnPRzZPaMmQ7L99y+AIIqzYXKNou1L9JllhIgDI1J1GdMsOQDdXzRDlcUzWqV4jTabsbDy7zJgFTCuVmokCfOVfRyuQtwYDOWEdLcdUNi8fS+ZMQm1rFzp6rUiKi0aaMRYVH9ejsroBJ8xnvyNlmgwonp6N0pm5Xsdn7vUcFrRDhyPi+BG3//jFnWjvcd7W0Wx0t34TiqO2YpzQNrisSUxF5cBclNuuURwmAoATZgtqW7uQn2FUtJ1WLTzjkgyA2nOSG6VFuXhj7zFZY9M6vGazi6jcVe/zfn4/NxHGl+e6DlM4Gn/2VUrBwGBPvFMT+rjiIX+OaASzxYryqjpU7qp3Cr9lmGJRXJCD0qJcmAJwzglXQTl/qw0QzHoQ0Om9r0uaUXPeq6xuwJI5k/zWREgR5mSN8u8gjvbT9PP9M6ZQYrdJ95GlQ7q4QNpkngeJKPQYkqTvALMelM7PltPS3wGl5fOcRURERERERERERERuBS1Q1Nfn/srKBoPB7TItfPnll37dv4O734OBIiIikkMEcKV+b7CHQaNZnQ3odBPGuYQTgu3JuXjY8jC6+l2HC/5/9u49rq368B//KwmBcEmAAIVihYyWeqmXrXa0WqyrtdXNbvM6NxxT7LR89COfT9vPnNPfZx/d9q3uylqna+c6dDh0m7Vu2k1n67peZmFttbWtk1oErBRKgZJwCYTk/P44hnLJSc455HKSvJ6Phw8k5/YmHE4Cfb/Oyw61IfkQTvo054sTSSJMSRDh3MxkuFwulLm2KzqG9d91wOcfCu2kGY1O1vG2Aj2zp3lKYZ1g87bOjOUraFSUkyZ78rMlWd3XMDFM5OVtNnrSfQOKdG1IRz96kYomId9nE5kSvQHCT74Eq4XnsZsuxPtv753SfiaKZHhNqplKCTMGcOk/7gIcrf5X9Db+rNwV9oDgqCgIfbR09UueCx32IVRva8TmAydQu6IEhVmhvYlMNAv79ZsBgqih5rqnNsxKcUptI1+E209Dztkrhnr314y/XpqnA5dVAAsqxd8JiIi0RG/gezUiIiIiIiIiIiIiki1igSJ/nE4nkpOTIz2MKZMKDvlqRyIiIpron8c6cLPhX5EeBsWzQxKT3xMAXBDHgSKdAZh/D/Sfewg/7DdITqA+LuSjXchEnq5H/r7N+UDunCAOdoJ5FZq4K63SIMLO3buQ97aC5xGALpwTnjU4WUeqFUhJWCdcfAWN5JqZk4ZcS9KUwyUTSTUbTUW6wvCT2yOgdm+z6uONDR8Iw4N4X/WepMkJP3zj8kKccgxhX3M3LMlGzAzCORiomUqOCsNrMAUKE3lFqPFnlMZDH3KbtFq7B1C+qQFbq0rDHmiMJmG9fjNAEDXUXvfUhFkpTqkNxUS4/TSkupvEUHE0NBkSERERERERERERERERqRSxQFFKiu87uQPAwMBATASKBgcHfT4eC18bERGFXrL9OKbpzkR6GBSvXALwnsQExPMSAJM2Agl9BdcgqfMdGAdPjz7mFnQw6CSalYJBcAPv/xX43EN+J9Nb00w4ZL0Read+I3/f8yqAaReId7xWOnk8kEwbML8yuPucAiUtDDfNSQPeVnEQTnieUlgnktweAcc7+2AfdE0KoUxc9rXPFuDn249FeMT+5VlMKMpJU7TNwRNncLpvWPGxqr9yKS46J31c+MA+7Pt3U7Umfg/uWzxrUvghx5yEZ//Zgmt/vnNc4CvXkoSykkJUlNpgURkqUdtM5aWHB183vqlsozA3/oyj8dCHkiat1u4B1OxpRtWSyLflaV1Yrt8MEEQNtdc9pWFWimPZs5X/DqKR9tOQcPZKh4nG0kKTIREREREREREREREREdEUaDJQ1N3djaysrDCOJjS6urp8Ps5AERERyTHbwrtJUwT9ewSQmsd+iXYmJqYt/3/YZ8/AL3+zEbnogUHnxveNvw39gce0VYxtEjh04gyeb/gI299rx+m+YazpuwKvJr6KQv2pwPv0Bn70BuCyCvGO13KZMvxPHM+0iXfO1tgkN7ktDKkWlb8bcMJz1LE7XajZ3Yy6hpZJIZSb54qNQZsPnBi3LMeciPRko6ZbGMrmFyhuFnmh4SNVxzrXmiI7hOAvuOWLv++PNyRUnGtGS1c/vvSLPT5DJh32IVRva8TmAydQu6IEhVmpir/GqTZTzdS1YRq6lW0UztaziTQc+nB7BNQ1tCjapq6+FfctnqW5trS4xABB1FBz3VMTZqU4puZ3EI20n4bE3g2Bw0RekW4yJCIiIiIiIiIiIiIiIpqCiAWKzGbpCU4tLS0oLo7+yQmtra0+H/f3tRMREXmdk6RukixRUBySmJifogNmRuwt5HhpecCRLfj0vhpsSuwI//EntFWc6BnAf73wzrgJ9A6koNz1HdQaH/MbKhIybdCNDfwsqAQO1smbxJZpA+7YKq6/r0ac9O5lzhcn+s2v1FyYaKyALQxRPuFZaWgjXrV09aN8U4NkCOWpHcd9btfpENOPCXodRjwhbCdTqcCagoqFNkXbuD0Ctr/Xrup4ctoo+odHULPtmN9g0MT2oEDfH29I6Jdfn4v/eO5AwMaa1u4BlG9qwNaqUpgVNhUZ9DqUlRSielujou28ii1uQM3brEi1nmn4Gni8s09xsKvd7kRTZ19UtqfFHAYIooaa656aMCvFOaW/g2io/TSoPG5gf42ybSLZZEhEREREREREREREREQ0BfpIHXjGjBmSy1palN3dVquam5vHfS4IAnQ6nd+vnYiIyKvPwEmWFCF9HuD4iO9lcxIAg0YmJo44gX88joT+CISJgLNtFRBbO6Qm2rcKuVg+vBY/dd2Ck4J13LJOIR0/c92MJX3fx7oDbtidnwS5TOlio1Cmzf8YvM1DGTPEO2KvOgzcWw/c9br4cdVh8XENh4lk8U54VkIDE57tThfWbTuGKx7fjmXVO3HLhrewrHonrnh8O9ZtO3b2+01+f4bkGvEISE82Ypo5adzj1tTEqQ5PtQJrCmpXlCgOzBzv7ENXv/LzIzstUVYbxb3PHUD1tsZJQRBvMGj5+t1o6eoffVzu96e1ewBlT9fL/j62dg+gZk+zrHUnqii1ocAq3XwspcCagv/v5gWqjhmx1jMNXwPtKpvBtNwoFncWVAZ+v+EVywGCKKDkuqcmzEqk+HeQaP8dQ8rpRmUhXmDc74ZERERERERERERERERE0SSigSKdTpyM6v3odeDAgUgMKajcbjfefffdSV8bABQWFkZgREREFG16RkyRHgLFq8MuQKrk49LITcwfR58QuaaIsQa6gFPv4bW/vIyknkbo4fG5mgMpeMZ9HV4YWYxO4ezEuxxdL8oS3sTygT/h19veGT+J31oErNwJLH5YbJoYy5wvPr5yl7iel94ATDsfKFggfoylO2RH2YTnlq5+LF+/W1FoI57V7G6eUpjIq3fQhbL5BXhj1SK8WHk53li1CL/75vwgjFBaWlICcieEmPIsJqxeOhtbq0pRmJWqeJ9qQxpLLsiV1UZxstfpd7m3PcjxSehNyfdHaVCkrr4VbhXNUhaTEbUrSmRPrh/7PcmfdanY+KNEpFvPNHoNtMhoxPJFTpMWhQkDBFFD7nVPbZiVCIC630FijbNX5XZngjoMIiIiIiIiIiIiIiIionBIiNSBjUYjpk+fjpMnx9/tTxAENDQ0RGhUwXP48GEMDAxAp9ONNhN52Wy2yA2MiIiiRv+QREMMUagdkpgMbtUD+RHLo48aSUhFwohGQhh/vAPo78RXAHwlCWgXMlE3sgQ17uvgwNnJngW6DtQaH0Oh/tSkXeTperDa+CJuNuxEec93UL4J2FpVKk4CNaWLDUNXrhHveO08IzZkZBfHVlhIDu+E59obgZ5m6fU0MOFZSZtL+aaGs9/vOOX2CKhrCF5L7QsNH+H+q4tHgzVuj4BcS9KkYFew9A2N4MXKy2HQ69A76EJ6shFFOWmygj1S1IY0vvbZc1UfcyJve9B9i2cF9fszUbvdiabOPhTnKm9mLMxKxatVpXhmTzPq6lvRbj8blMqzmHDtnFwsuWAapqcnT/6eXFYB7Fgr/2CRbj3T6DVwZk6a4p+vPItJVpMWhZE3QFC/EdhXIzZteJnzxfN/fmXwziuPW2wAcfaK53b27Ph7X6NSoOte2fwCVCy0xfX7CgqCeP8dxJSucruMoA6DiIiIiIiIiIiIiIiIKBwiFigCgE9/+tNoa2sb11QkCAIOHjyIrq4uZGVlRXJ4U/LGG29ILrv00kvDOBIiIopW/Q6Vd8UlmopON3DSd8sOLjECPtoXwy4hCdBKoKi/c9yn48JBru+gVciFGQOoNa5Fob5TYieiQv0p1Bofw/Xda1GzpxlVS8Y0YXibh+JduCc8q6SkzcUb2hj3/Y4wt0fA8c4+2AddsCQbMXOK4ZhAjnf2BTXsMzGgYtDrUFZSiOptjUE7xkR9QyOYZ7MGbX9qQhrZaYm4eEZG0MYAiO1BSy/MDVkYy0tpq9FYFpMRVUuKcd/iWWjq7JsU6vKez2+39ow/nxdUAgfr/IdzvDTQegZAk9dANT9fZfMLQnpNIZXCESBw9gJ7NwD7awDHmBsMmaeLIb8Fleon8seRQNc9oqCJ199BsmeL1yXHycDrekW6yZCIiIiIiIiIiIiIiIhIpYgGiubPn4+//OUvADCuxcftduNPf/oT7rrrrkgOb0peeuklyWUlJSVhHAkREUWrlPTgTUwmkk2qnQgQA0UR1gULspzdkR5GQN5w0G3D/4ufGX8ZMEw0drsKw2uoq7fivsWzOCnUF43fMV1N205dfasmvt92pws1u5tR19AyLkCSa0lCWUkhKkptsISg8cA+hTCJlIkBlYpSGzYfOCE76KVUuspGISlqQhrfuNwW9HOo3e7EI386HNR9+hKM58+g141rOZJ1Pmuw8ScgDV4Dlfx8FVhTULHQFvpBkXqhChB0N0n/vDlOio1hB+vEnzdrUfCPH4MmXveIKEj0huhrMiQiIiIiIiIiIiIiIiJSSR/Jg8+fP19yWW1tbRhHElzHjh1DfX39uOYlr/z8fOTn50dqaEREFEUGLbMwICRGehgUTwQBeFdiYv+5BiAzom8dAQAncxdHegiyFepP4bXEb+MKw1FF25UlvIlT9gE0dfaFaGQxwjvhuWCB+FEjE/jUtO14G3UiqaWrH8vX70b1tsZJ4++wD6F6WyOWr9+Nlq7gt4NZghzGASYHVCwmI2pXlKDAmuJ3u3Mzk5Gdpuy1N89iQlFOmuIxBlJRags4Xq9QhjTqm3tCsl+vUDx/ss9nIVds/Fn8sNgsMJY5X3x85S5thhs0dA2U+/NVYE1B7YoSmEMQTCSNc/YGDu8B4vLaGwGnPRyjIiKStqBSDBXLoZUmQyIiIiIiIiIiIiIiIiIVIjor9Morr0RycjIAMXTjbSkSBAE7d+7EO++8E8nhqbZu3ToIggAA4z7qdDpce+21kRwaERFFkX+83wGA7SQURi1uoFfwvUwD7UQj0KPo8i9HehiKZOiVt6FM13WjSNc2qWElZnncwKn3gNa94kePO9IjmhK1bTuR/H7bnS6Ub2oI2C7S2j2A8k0NcDiDO9aZOWnItSQFbX9SAZXCrFS8WlWK1UtnI89imrTN6qWz8Zf/uhLlC2yKjlc2vyAk7VLxEtII9vOn+HxGitj4s+owcG89cNfr4sdVh8XHtdJMpHFyfr62VpWiMCs1QiOkiNq7IXCYyKunGajfEMrREBEFZkoXG9MChYq01mRIREREREREREREREREpFBCJA+enJyMa6+9Fi+//PK4Fh+vRx55BC+//HL4BzYFH330EWpqanx+PQBw0003hXlEREQUtU43IkWnrOWCaEoOSYQEDADmRH6iegI8SNjxKJCWC/R1THl/fxn5LD5r+DdydI4gjC640tE/qWEl5jh7xQnG+2sAx8mzj5unA5dViHcFN6VHbnwqqW3bieT3u2Z3c8DwhVdr9wBq9jSjaklx0I5v0OtQVlKI6m2NQdmfv4CKxWRE1ZJi3Ld4Fpo6+9A76EJ6shFFOWmj21SU2rD5wAlZz0kom4GAsyGNZ/Y0o66+Fe125+iyPIsJZfMLULHQFjBM5BEkwqIhkp5slBWSC8Xzp/p89jb+kGpyfr4oDnnc4mu9EvtqgCvXaKZ9kIjilLVIbDKs3yhelxxtZ5eZ84F5FWIzEcNEJMXjBk43ir/7mtKB7Nl8bSMiIiIiIiIiIiIiIs2JaKAIEAM2Y0NDY1uKXnnlFbz22mu47rrrIjdAhVatWoXBwcFxjUteFosFS5cujeDoiIgommQbnYFXIgqWEQE4KjH5uzgBSNbIROAzLYBtUVACRV9I+Bc8gka+rgmMaVafDSsxo7sJqL3Rd1uB4ySwYy1wsE6827e1KOzDmwpv206HXX4gVKpRJxzcHgF1DS2Ktqmrb8V9i2cFNSCgJMTjj9yAikGvQ3Gu2ecybzNQoJabcDUDBSOk8dEUn1clCqwp2PD1uah87kDYnz+tnM/xzt/PF8Wh043jg8NyONqA08cY8iOiyDOli42FV64Rr0vOM4ApA8guZjCEpMXozTOIiIiIiIiIiIiIiCg26SM9gFtuuQVZWVkAMC584w3k3H333Th9+nSkhqfIc889h5deeml07F7eYNEdd9wBozHG7zRPRERBUzB9eqSHQPHk/RFAKv9wicbev5w6CmTagrIrvS68rR1ynBSsWDh/QexObnf2SoeJxuppFtdz2sMxqqDxtu0o4a9RJ9SOd/YpCj8BQLvdiabOvqCOwxviKbCmqN5HMAMq3mag1UtnI89iGrcsz2LC6qWzsbWqFIVZqVM+llzekMY8mxXFuWZF50zf0EgIR3aW93twYX56RJ4/rZzPccHjBk69B7TuFT963JEeEWmVs1fldmeCOgwioinxNhkWLBA/MkxEUrqbgI2LxJtkTAzUem+esXGRuB4REREREREREREREZEGRLyhyGQy4Z577sFjjz02Giga2+zT1taG2267Da+//joSEiI+XEnvvPMOKisrJ4WivPR6PaqqqiIxNCIiilLJ51yA9rczkafrifRQKB4ckmgnMkFsKNKSgdPA8mrgjf8NHEqJQlsTr8WdpTMjPYzQ2btB/vetpxmo3yDeFTyKKGnbkduoEyr2QYmf/QB6VW7njzfE88yeZtTVt6LdfrapL89iws2XnQMA2Lz/40nLyuYXoGKhLahtN8FoBtKKtKQEnArh/n19DyLx/GnpfI5ZvOM+KaX2fDBlBHUYREREIaf05hkrdwEmSzhGRkREREREREREREREJEkTs0Pvv/9+rFu3DoODg6PtPt5QkSAI2LFjB26++WZs3rxZk6GiQ4cOYdmyZRgYGJBsJ7rxxhtRVFQUwVESEVG0+dbmo6gyLMFq44uRHgrFugEP8IFEe8UcI5CgwYnzH7wB+x1v4g9PPozrh1/HdF13pEcUFB/rcrHsrkeCGorQFI9bnISuxL4a4Mo1UXUXcG/bTvmmBr+homA26qhlSVZ37HSV2wUiJ4Syeul5YQ34eJuBotm51hSE4h7oP/jyHMwvyvL7PQjn86e18znmdDdJT5L13nH/YB1QvgWw8u8fkeD2CDje2Qf7oAuWZCNmaiEAmT1bDJxNbGnwx5wPZBeHbkxEREShEAc3zyAiIiIiIiIiIiIiotijj/QAACAvLw/f+ta3xgVxAIwLFb366qu47rrrcPr06QiN0re//e1vuPrqq3H69OlxYaKx7URJSUn44Q9/GKkhEhFRFKtxX4ePPDmRHgbFusMjgEdi2SUanWT9/l/xzL868QPHF7FwaD2WDf0QPUJK6I+bUSBOig2B3qR8pN/zKgqm54kPeNzAqfeA1r3iR487JMcNq9ONyiYUA4CjDTh9LDTjCSFv287qpbORZzGNW5ZnMWH10tnYWlWKwqzUCI1QNDMnDbmWJEXb5FlMKMpJC9GIRN4QyjybFcW55nET4v0tI9/0utA8R/OLsjT1PdDq+RwTlN5x32kPx6joE3anC+u2HcMVj2/HsuqduGXDW1hWvRNXPL4d67Ydg90ZwRYuvUFsr1JiXkXgIHEsvk8iIqLopfbmGXz9IiIiIiIiIiIiIiKiCNNM3c+3v/1t/OY3v8GJEyfGBXPGhor+/ve/Y+7cufjNb36Da665JqLjHR4exve//308/vjjcLvd4wJEXt6xr1q1Cp/61KciMEoiIopWtge3AgAcSEG560G8mbgGGpmrS7HokMQk0wwdcK5GW2H6O/HPhrcATIMHegjQIVMn3QQTFJk2sXXB44HwZAl0QvAm/ggJJqTfuw1IP0ectL13gzgZaWz4xjxdnJC7oBIwpQft2GHl7FW53ZmgDiNc5LTtRJpBr0NZSSGqtzXK3qZsfoFmxk+RozqI43GL4UJnr3gty54dtAYyns8hxDvua1ZLV79kI16HfQjV2xqx+cAJ1K4oiVyIdUGl2F4l5xzKtAHzK6WXx/L7JCIiil5TuXnGtPNDMyYiIiIiIiIiIiIiIiIZNNFQBAAmkwk1NTWjwZyxAZ2xoaITJ07g2muvxVe/+lV88MEHERnrli1bMGfOHKxdu3ZcmGhsO5F3zBdddBG++93vRmScREQUG5LgYpiIQqfLDXwsEYy5xAiEqNUiGFx9PaP/b0F/yI4zYsoCFj8M3L0DGBkCBk7jzHlfCeoxdCNO4J3fAd1NwMZFwI61kycjOU6Kj29cJK4XLOG8w7/aCb6mjKAOw8vtEdDY4cC+5m40djjg9giBN1JB6406FaU2FFjlNXwVWFNQsdAW2gFRVFAcxHH2Ajt+CFTPAZ5aAPzmWvFj9RzxcbWBwwl4PocA77ivWXanSzJMNFZr9wDKNzXAEammIlO6GMrOtPlfzxveNll8L4/E+yQiIiI54uzmGUREREREREREREREFDs0EygCgKuvvhoPPfTQaDBnLG9AxxvW+eMf/4gLLrgAX/nKV7B9+3af2wRTT08PfvWrX2HOnDm45ZZbcPz48dExeccHjA9CpaSk4Pe//z2SkpJCOjYiIoptF+haIz0EimVS7USAGCjSsBSdc/T/7QjdHfcTyl4ABAH45eWjk+Az//08RoQgv5X+1yag9sbAd+/vaRbXc9qndrwwTe4fJ3u22CCghDkfyC4O6jDsThfWbTuGKx7fjmXVO3HLhrewrHonrnh8O9ZtOwZ7pCZcR4jFZETtipKAIYwCawpqV5TAbNL2tYECu+PyQuRZTKq3T9DrcM0F0+RvEMYQAM/nEJjKHfcppGp2NwcME3m1dg+gZk9zaAfkj7UIWLlTDGmb88cvM+eLj6/cJa7ni7M3vO+TiIiIlNDYzTOIiIiIiIiIiIiIiIjkSoj0ACZ65JFH8Pbbb2Pr1q2j4SGviaEit9uNzZs3Y/PmzZg2bRq+/OUvY/HixbjqqquQl5c35bEcPHgQO3bswN/+9jds374dLpfLZ3Bo4mOCIMBgMKCmpgbnn3/+lMdBRETxTQfe3Z1CRBCAdyWCE+cYgCxDeMej0A8SNuH64cfRhxQcF/LRJZiRpXME9yCp04CXvgmcaZm0KEHnCe6x+trlr9vTDNRvAK56QN2xupukJ+V6J/cfrBNbAqQm9qqhNwCXVYj7l2tehbhdkLR09Uu2OXTYh1C9rRGbD5xA7YoSFGaFLqimNYVZqXi1qhTP7GlGXX0r2u1nA3t5FhPK5hegYqFNG+ELj1sMODh7xYl72bODeo7Eg9sXFOKeay5CU2cfegddMOh1+EdjJ377Vgu6+4cDbj/iEVD53AFsrSoNfE4oDQGs3CXdTiJTVJ3P0YB33Nckt0dAXcPk9yf+1NW34r7FsyLXlGdKF9+7XLlGDJw5z4gTqbOLA1/H924IfB3xmur7JCIiIqW8N89QEsIOwc0ziIiIiIiIiIiIKLzcHgHHO/tgH3TBkmzEzJy0yP1bHBGRSpoLFOn1erz44ou49tprsXPnTp+hIgCTmoE6Ojrw9NNP4+mnnwYATJs2DRdeeCHOO+88TJ8+HXl5ecjKyoLJZEJSUhISEhIwNDSEoaEhDAwMoKOjAx0dHfjoo49w9OhR/Pvf/8bg4OCk4/o69lje0NNTTz2FW265JcjPDhERxaM+JEd6CBSrTriBHomWR423EwFAof40Nhp/hkrXajiQgldHFuAO4xvBPYh7GOg/FXC1EUE/LmAUknDTRPtqxAm5SoMUEZjcP86CSjGsJGdScKYNmF8ZtEPbnS7JMNFYrd0DKN/UIC8sEUMsJiOqlhTjvsWzRoMm6clGFGnlD17OXnFC+f6a8RP1zNPFoNqCSvV3Bo9DBr0Oxbnm0c8/U5AJCMDPt8trlfG2nVQtCTAJMkIhAM2fz9GEd9zXpOOdfeiwDynapt3uRFNn37if/YjQG4BpCm7A43GL134l1L5PIiIiUkMDN88gIiIiIiIiIiKi8LE7XajZ3Yy6hpZx/2aXa0lCWUkhKkptsMTRfBMiim6aCxQBQFJSEl555RV86Utfwj/+8Q+fAZ6xbUVjH/Pq6OjAqVOnsGPHDsXH9xUUkjrO2GWCIECv12PdunW4++67FR+XiIjI65JzzDj0sRhGOCMEcSI/0VgHJdqJ9AAu0uTbxEkWGo7iVd1DKHd9Bz9z34rbE7YHrznIlCG7XSFB50HNyDK86r4cvUiFAR68nvRgcMYhxdEm3t1fyYRcIPJ3+Deli81HgUJNmTZxvSCGmWp2NwcME3nJDkvEoIlBE02IUKtWPN1NyO0R8Py/WhVtE7DtRAMhAKXnczx9z2XjHfc1yT4o8T4ugF6V20XU6UZl5x+g/n0SERGRWhG8eQYRERERERERERGFT0tXv+TNbDvsQ6je1ojNB06gdkUJCrNSIzBCIiJl9JEegBSz2Yy//e1vKC8vn9RK5CUIwuh/3uVj/xu7XMl/vvY19nhjjV2WkpKCl156Cffdd19InxsiIooDY15vkqHszuNEsowIwBGJCaWzEoAUzb5NnKRQfwq1xsfghh7PupcFZ6eZNsCg7E4h1xn24W2hGB8IM9AuWNEnmIIzFn9kBp5GqZ3c73Er2yYQaxGwciew+GFx0vlY5nzx8ZW7gh4MqWtoUbRNXX0r3B6JFi8KH6WtWk67/H173MCp94DWveLHT851u9OFdduO4YrHt2NZ9U7csuEtLKveiSse3451247B7ozCCfkBTKXtRNJUQgAyuT0CGjsc2NfcjcYOh+qf2Xj8nsvmveO+ErzjfshZktXd0Sxd5XYR5exVud2ZoA6DiIjIL+/NMzJt/tcLwc0ziIiIiIiIiIiIKDzsTpdkmGis1u4BlG9qgCOe/52ZiKKGpm89bzQa8eyzz2Lu3Ll46KGH4HQ6fbYV+fp8YnuRGr6aisbuf+x6F110EZ577jlccsklUzomERERAAwMixOazRjA940KJ/8TyfHBCOCUWHZJ9E00LdSfQoXhNfx85BYs0+/HufpOeRvq9IAwptHInC9Ogp55NfDrJYrGMF3XjSJdG4ZhRK3xMaTppJ7gIDJlKFtfS3f4N6WLzUdXrhH37zwjfj3ZxSGZhD6VsITm2npilcctnqPOXvH8yJ4tnguhaNVy9or73V8z/mfCPB1nLrwdXzv0GbzXM/n3yVi+m1BI2k5CGAI4MzCMn73RiFcPtqF74OwY1FTI8w5SMvCO+5ozMycNuZYkRa9teRYTinLSQjiqEDGlq9wuI6jDICIiCsh784z6jeLNORxtZ5d5/94wv5JhIiIiIiIiIiIioihVs7s5YJjIq7V7ADV7mlG1pDjEoyIimhpNB4q8/uu//gvXXXcd7rzzTtTX109qDfLFXxhoKiYGiQwGA/7nf/4Hjz76KBITE0NyTCIiij/e15sKw2so1J+K8GgoJh2SmACeBGB2VLxFnKTc+CaedN+A210Podb4mP+fHfN04Eu/AD61COhuOhtmsRYB3ceBln+qGsN0dOEHxhrlP7cZhcCIE+jrkL+NOV8M3yihxTv86w2Kw0puj4DjnX2wD7pgSTZiZk4aDHr/NxMISViCgsNPuAdz71DXqnXlGulgWneTdOOR4yQy6n+CDZ5pKNd9B61Crs9deO8mtLWqFGaZoRWtC0nbSQhCAHanC9V/a8Rv32qG28ev/UoDQErvIBVL33NFvHfcD9QWxjvuh41Br0NZSSGqtzXK3uYLF+cFfL3UpOzZ4muCklC0mvdJREREwRDmm2cQERERERERERFReLg9AuoaWhRtU1ffivsWz4rOf6Mjorihj/QA5DrvvPPw1ltv4fnnn8esWbMgCAIEQRgNFwWjkUjKxP17w0q33norjhw5gscee4xhIiIiCqpPZadCDw/KErZHeigUiwYFoHHE97ILjYAxOn+JnYZu/P2OfPxs5Q0Y+eYOeD73kDiZdCxzPrD4YeC+BqD4GiAhUQyzTLsAOPonYN0lwFMLgK2rVY1hif5t5WGiTBvwjZeBeSuUbTevQvlkpCi/w7/d6cK6bcdwxePbsax6J27Z8BaWVe/EFY9vx7ptx2D3UxUdkrAETV13E7BxEbBj7eSJ4o6TwD8eVxa0A862avni7A0ciIDYelZrfAxpkA6ZeO8mFCu8bSdKBGw78YYAlPATAmjp6scXfr4LNf/0HSYaS26FvJo7SMUt7x33Fz8s/fq6cpe4HoVFRakNMzKSZa//t6MdAX8mNElvAC6rULaNmvdJREREweS9eUbBAvEjX5eIiIiIiIiIiIii2vHOPnTYhxRt0253oqmzL0QjIiIKjqgJFHnddtttOHr0KGpra1FaWjoaLPKGfCYGjJSGjKS29x4jJSUF3/zmN3HgwAH8/ve/x+zZs4P+NRIREV18bjpm6tqQp+uJ9FAoFh11AW6JZZdEd3iiMNWFeTYrZhacA/3nvg2sOgzcWw/c9br4cdVh8U7BY5sT/AUaFBDM0/H19HeUbZRoBu7ZIU6+XlAphovkyLQB8yuVHQsI+uT+cGrp6sfy9btRva1x0h9ovI0ky9fvRktXv8/tQxKWIPU8buCjfwE1XwgY7lFFqlVr7wbZxyvUn0KF4TW/69TVt8LtUd+O6/YIaOxwYF9zNxo7HFPa11R5206UKJtf4P9OSkEMAXibhE6cGZS9q0ABILV3kIrk9ynivHfcl/P6SiFnMRmxdI7vJjVfTvQMRm8oLhzvk4iIiIiIiIiIiIiIiIgk2AfV3bivV+V2REThEnWBIgAwGAy4/fbbsXPnThw5cgT/+7//i7lz5wLApIAR4DskJPWf19j9pKSk4Etf+hJ+/etfo62tDb/61a9w6aWXhv3rJiKi+NHY0QcLfE+KJ5qyQxK/qFp0QGGU3zF3YpNOoDsCy2wrkUN3wReRMKCwnWjYATg+aV8xpQPlWwJPls20ieupmbQdpXf49wYJArWI+GskCUlYgpRz9gI7fghUzwE2XTOlEJ9fvlq1PG5gf42i3ZQlvAk9PJLL1d5NaCptW6FUUWpDgTVF1roF1hRULLQFXjFIIQAlTUJj+QsA8Q5SU8A77muC2yPgL+8qu45GbSguHO+TYoHHDZx6D2jdK370SN1FgIiIiIiIiIiIiIiIiJSwJKu7SXO6yu2IiMIlIdIDmKoLLrgAjz76KB599FG0t7dj165d2L9/Pw4cOIAjR46go6MDHo/0BLCJkpKSYLPZcOmll2Lu3Ln47Gc/i4ULFyIxMTGEXwUREdF4J7oH0IfUSA+DYlGPB2iVmFh4sRFQ2O6oKWqadBS0lfiVaQNmXwc0/Er5tmObVKxFwMqdQP1GYF8N4Gg7u8ycL4Z75ldObZLsgkrgYJ28r1sjd/hXEiTwNpJULZl8LlSU2rD5wAlZ+5IdliD5upuCFuDzy5wPt3UWjnc4YB90wZJsxMycNBhONyoOME3XdaNI14YPhBmS6yi9m1BLV79kQM7btrX5wAnUrihBYVZ43wtYTEbUrigJGOArsKagdkUJzCYZf/j0hgACfe/9hADUNAl5eQNAxbnmSct4BymKdlMJxfn6mdC8cLxPilbOXvF97f6a8a915ulimHxBpXg9JiIiIiIiIiIiIiIiIlVm5qQh15Kk6N/n8iwmFOWkhXBURERTF/WBorHy8vJw66234tZbbx19bGRkBG1tbWhra4Pdbsfg4CAGBwcxMjKCpKQkJCcnIzk5GVlZWZgxYways7Mj+BUQERGJHM4RNAn5OC1YkK2zR3o4FEve9TMJ+lJt3RFjSDAgSafgrupKm3RUtJX45J0EP6JsQu+oiU0qpnTgqgeAK9cAp4+JgSNThhiWCkYDRBAm94eTmiBBXX0r7ls8a1K7UEjCEiRPENvAAnkr80v47x/tGPdHvFxLEtac34OvqNhfeoDGQCV3E1LatrW1qjTs52FhViperSrFM3uaUVffina7c3RZnsWEsvkFqFhoUzauKYYA1IQmxpIKAPEOUhTt4jIUF+r3SdHIX2DXcRLYsVYMk5dvEa/HREREREREREREREREpJhBr0NZSSGqtzXK3qZsfsGkuStERFoTU4EiXxISElBQUICCgoJID4WIiEi2HHMSPugcwDb3XHw1YUekh0OxQhCAQxITSKfrgRxtTcJM0rnRJliRr+sOvLKaJh0VbSXjTJwE73GLd4FXsk9/rUp6AzDtfPXj8yeK7vAf7PaFkIQlKLBgtYEF4IYeKxvnwo7x50yHfQhP/6sbX0lSvs9eP42BSu8mFKy2rVCzmIyoWlKM+xbPQlNnH3oHXUhPNqIoJ039HzunEAJQG5rwkgoA8Q5SFO3iOhQXyvdJ0URuYLenWVxv5S5NvL8jIiIiIiIiIiIiIiKKRhWlNmw+cELWv/sXWFNQsdAW+kEREU1RzAeKiIiIolFqojix9nn3YgaKKHjaPECXx/eyi7U5sfRJ4514KOmPSO3/SHoltU06zl51g7r+Z0DhwsmT4PUG4LIK8S7wciltVQoid6IFx8//D9jPrUD2UCvOTR6GISVTc3f4D0X7QkjCEiQtWG1gMhjgwTTdGdiFyYGP40I+2oVM5Ol6ZO/vpGBFk5AvuVzJ3YSC2bYVLga9zmcwb0pUhADUhiYA/wEg3kGKoh1DcaQosNvTDNRvEMOdREREREREREREREREpJjFZETtihKUb2rwGyoqsKagdkUJb2ZLRFFBH+kBEBER0WS6T+apNgvT4RYiOxaKIVLtRDpoNlBU35+HWzyPY+jKB8XmnLHM+cDih8U7rVuLlO/clK5uUIULxcnwvkI3CyrFgJMcalqVgsDudGHdtmO44vHtWFa9E7f8qgGfe7YdV9T1Y90hA+zDEqGzCAll+4I3LDHPZkVxrpkhgVCZahuYQuno9/m4B3rUjSxRtK+6kavhkfi1WendhKbSthXvvKEJNQIFgCpKbSiwpsjaF+8gRVrjDcUpwVBcDFET2N1XI25HREREREREREREREREqhRmpeLVqlKsXjobeRbTuGV5FhNWL52NrVWlKMxKjdAIiYiUYUMRERGRBp3pHwEA3Gl4HQbO96NgcAvAYYlA0UwDkKa9nLm3GcTTo8NG3IKqVQ8Ap48BzjOAKWPqTTrZswHzdGVBB3O+eFwppnSxLan2Rv93i1fbqjRFLV39kndJ6bAPoXpbIzYfOIHaFSWa+cMG2xdigNo2MJV6IX3u1rivw82GnSjUnwq4nxbPNNS4r/O5LNecpPhuQqFo21LLIwho7HDAPuiCJdmImRpv51LTJATICwDxDlIU7SpKbdh84ITf89eLobgYoyaw62gT308rbIojIiIiIiIiIiIiIiKisywmI6qWFOO+xbPQ1NmH3kEX0pONKNL4v70TEfmivZmjREREhO6BYejhQXnCG5EeCsWK4yPAgETd1cWJ4R2LTGObQerqW+GGXpz8WLBAuiFICb0BuKxC2TbzKgIf11oErNwpticFu1XJD7dHDAjsa+5GY4cDbs/477fd6Qo4YR4AWrsHUL6pAQ5n8EMMarB9IQaobQNTwRtElOJACspd30GLZ5rf/bR4pqHc9R30wXdzzcbyyxSH7kLZtqXU7b+uFxvKNryFZdU7ccXj27Fu2zHYNfJz74uSJiEAmJGZLDsAxDtIUTTzhuIC/XwwFBeD1AZ2nWeCOgwiIiIiIiIiIiIiIqJ4ZdDrUJxrxjybFcW5Zs5VIaKoxIYiIiIijXF7BBw/PYBiXRuydfZID4dixSGJSeJGAOdr7y3hxGaQdrsTTZ19KM41B/dACyqBg3X+24S8Mm3A/Ep5+zWlA1c9AFy5JritSj7YnS7U7G5GXUPLuBafXEsSykoKUVFqg8VkRM3uZlntBYAYKqrZ04yqJX7amMKI7QtRTk0bmEpjg4heengwU9cGC/phRyqOC/lYPrwWr11+BPkf/B46R9vouicFK+pGrkaN+zrJMFGexYSLZ2QoHpuW2ra6+oYBnP1DplYbysaS2yRk0OlwxxWFWLV0tqLgBO8gRdHMG4p7Zk8z6upb0W53ji7Ls5hQNr8AFQttDBPFGrWBXVNGUIdBRERERERERERERERERETRS3uzR4mIiOJcY4cDAGBBf4RHQjHDKQDvj/hedqERSAzVRGk9AI/iraSaQXoHQ9CcYUoHyrcAtTf6DxVl2sT1TBZl+9cbxDalEGnp6pecXD82IPBMxWdR19CiaN919a24b/EsTUyklxskYPuCRnnbwHasVbTZScGKF0euxA2Gf+JcfWfA9ScGEc0YQIXhNZQlbEeermf08XYhE3UjS+D8zPeg++L/ovbVbXj5rSPoRSqahPxJgaSJ1DZgedu2qrc1yt4mWG1b/cMSrwETeBvKtlaVavLnyF9owpqSiC9eOh2rls5GRor65j3vHaSIog1DcXFITWDXnC8G3ImIiIiIiIiIiIiIiIiIiMBAERERkea809oNALgG+yI8EooZ77kAqbnkFwdxwnhqDnD7S8DIAKBLAP79CrD3KcA9LHsXe9wXYqVrtc9mkPTkEE1utxYBK3cC9RuBfTXAmLYSmPOBeRViM5HSMJHHDZxuBJy9YnApe3ZQ24nsTlfAgA0gBgRu/3W9olYUIIStUCqxfSHKKWgDa/dk4B7XahwWiuCBHn/0fA61xsdQqD8luc0J5KLc9eDotaNA1yG5TZ6uB6uNL0LYsg8o34IvL7saT/87UVYDlkEHOF1u2J0uWFSca5Fq29py4GOcI3NdrTWUTcTQBJF/DMXFETWB3XkVQW/LJCIiIiIiIiIiIiIiIiKi6MVAERERkcb87WgHLkUjKhO3RnooFCsOSTT7mHXAp4I4obC/E0hIBExpgRt/fGjx5EiGifIsJhTlpAVpoD6Y0oGrHgCuXAOcPgY4zwCmDPEO7konXTp7gb0bgP014+8Yb54uTvpcUAl3ogXHO/tgH3TBkmzETBUT4Wt2N8sKJQDAyV5n4JV8CEkr1BQwSBDFZLaBeRvKWoXc0cdahVwsH16LOw2v4Z7UnTAPnw0JCeZ86OZV4JXBpWjdIYYBzRgIGEACAF1PM1B7Iywrd8lqwAIAtwA8teM4Xj10ErUrSlCYlRr4ax8jEm1bbo+Are+exD2z5G+jpYYyKQxNEBFBUWAXmTYxJE8Ub0J8owciIiIiIiIiIiIiIiKiaMZAERERkcZ02IdQl/gj6LQ7h5eiSa8HaHb7XnaREQj2ZHH7CWDrGhVhIjFE4A0T6eHBTF0bLOiHHan4UslV4ZnYrjcA085Xv313k3RgwnES2LEWZ/Y+i7vcD+GAI3N0Ua4lCWUlhagotclqPXF7BNQ1tKgfp0wha4WaIgYJopSfNrCTghV1I1ejxn2dz1ChAyn4beJt+IPnVpiHWpCOfvQiFf1GG77qKsItC87B84fOoLV7ABWG1wKGiUb1NAP1G1B41QN4taoUG/9xHBt2NMEtCH43a+0eQPmmBmytKlUc+gl329bxzj509clvigO011CmhtsjTDm4GXU4YTp8+FyTVsgM7CLTJq6ntHGTKJrJuNEDTOmRGx8RERERERERERERERGRBjBQREREpDEWoR/pOnmtI0QBveunYeaSEIRF3n9NUZjIISTjVyPXj4YIzBDDAGUJ25Gn6xldz/NOHpBwV0gnfcmdfD5uvSQ9ZuraYBi2Azo9sPmbwBn/QZ8M58eo9jyK67F2NDjRYR9C9bZGbD5wQlbryfHOPnTYh9R/sTKEvBWK4pOPNrC2oSSUvdSF5h7pczpBr0PvoAu9ADow4+wCx8joz853l1+Ae5/bh7KE7crGtK8GuHINLCYjEg2GgGEir9buAdTsaUbVkmJlx0N427bsKpvGtNZQJpfd6ULN7mbUNbSMu04qDW5GFU6YDh8+16RFfgK7MOcD8yrEZiKGiSieyLjRAw7WiUE7a1HYh0dERERERERERERERESkFQwUERERacwdwstsJ6LgEATgkMSE8Gl6IC+4d9IfSc1DwnuvKNpmUJeMJ903wAM9CnQdqDU+5rNZRN/XHrJJX3Inn49db8DeMxp8MowJPslVqD+FCsNreMJ907jH5baeqA0IKFE2vyD22zwocsa0geUD+PN/uXw29kwzJ2FoxBMw3NLaPYA1fzyEQuHjcWFEWRxtcHc2AjnnK27+qqtvxX2LZ6n+WQlH25ZFZdOYVhvK/Gnp6kf5pga0dk8OZisNbkYNTpgOHz7XpGU+ArswZQDZxWzPovjj7A3c2gWIy2tvBFbuYuCOiIiIiIiIiIiIiIiI4pY+0gMgIiKi8QoSTkd6CBQr2j1Ap8f3sjHtRBJrKPYn52eAvnZF20xDN753RSJmmt2oNa71GSYaxzvpy2lXP9AxWrr6sXz9blRva5zU+OOdfL58/W7884PTo+slOVrxauJDWG18UXlwYYyyhDeh9/Hse1tP/FEbEJBreroJFQttIT0G0Vjexp49D16NN1YtwouVl+ONVYvwtZIC2U05vYMuWNCv6viVT2/HI38+orj5q93uRFNnn6pjhsvMnDRkpSUq2iYaG8rsTpdkmGgsb3DT4YzOBqZxlE6YDtJrZ1zic03RwhvYLVggfmSYiOLR3g3yW3N7moH6DaEcDREREREREREREREREZGmMVBERESkMYlZvKM5BYlUOxEAXHw2kKK3XRmUwy0e2aVqu69fmIA38n+FQn2nvA0kJn25PQIaOxzY19yNxg4H3B7B726UTD7/xm/E9cwYkGxRUmq6rhtFujafy+rqW/2Of2ZOGnItSVMegxT2ElGkeBt75tmsKMpJwwv/alW0vR3qWmc+7Deidq+ydiIvuYGnSDHodbj+4umKtonGhrKa3c0Br+decoKbUYETpsOHzzURUXTwuIH9Ncq22VcjbkdEREREREREREREREQUhxgoIiIi0hjHZVUQ/OcgiALzCMBhiUnunzIAljFvAz//EyDTNuVDWnUqWzr+/J/QtygMI42Z9GV3urBu2zFc8fh2LKveiVs2vIVl1TtxxePbsW7bMdglWiiUTD4f+STcU2F4LShhIq90iTaVQK0nBr0OZSWFQRvHRG29ztiYbE9R7Xhnn+LGoONCPtqFTEXbnBSsaBLyFW0zVnqIG8OC4ca558het8CaEnUNZW6PgLoGZYGwQMFNzeOE6fDhc01EFD1ONwKOk8q2cbQBp4+FZjxEREREREREREREREREGsdAERERkcbsPjGIXiEl0sOgaNfkBvokJkpfMmHy++E/AuVbghIqUkxnAOy+W3r8+mTSV0tXP5av343qbY2Tggcd9iFUb2vE8vW70dI1PrijZvK5Hh6UJWxXPlY/ev20qfhrPbE7XRgaccOgC12DiOYm23vcwKn3gNa94kdO1I55dhXNPx7oUTeyRNE2dSNXw6PyV+M8iwlFOWmqtg2n1MQEWesVWFNQu6IEZpP2Q1JjqQmfBQpuah4nTIcPn2sioujh7FW53ZmgDoOIiIiIiIiIiIiIiIgoWjBQREREpDFH2+y4c/hbbCmiqXlXYiJ+AoALJkwUr98IZBQCK3cCix8G0vJCPrxRgvpQSL/9NMo3NQRsGWrtHkD5pgY4xjQVqZl8PlPXhjxdj6qx+hKoFUWq9cQbonpqx3G4Q3ih0Mxke2cvsOOHQPUc4KkFwG+uFT9WzxEfVztpkDTPorL5p8Z9HVo802St2+KZhhr3daqOAwBl8wtg0Icu2KeKjPBddlriuM/zLCasXjobW6tKUZglHXTUKjXhM8B/cFPzOGE6fPhc00QMORNplyld5XYZQR0GERERERERERERERERUbSQd5tiIiIiChuHcwT9ulSEsHiEYt2wALwnMUn6/AQgacLJNewATv0byJsDXPUAcOUa4PjfMbLlP5AwcCp049QZphQoeuloP1q7R3wu08ODmbo2WNAPO1JxvDsfNXuaUbWkGIC6yecW9AdeSQF/rShSrSd2p0tWiCpYIj7ZvrsJqL0R6GmevMxxEtixFjhYJzZsWYvCPjwKrZk5aci1JCkO/zmQgnLXd1BrfAyFeulrWItnGspd30Ef1LUCFlhTULHQpmrbkHD2Ans3APtrxrepmKcDn14J4OzPyHPfnI9Opx69gy6kJxtRlJOmvWCUAmrDZ1LBzajACdPhw+eavPxdZy+rABZUqj9fiCg4smeLP5NKmuXM+UB2cejGRERERERERERERERERKRhbCgiIiLSmJREXdCDCxRn3nMBUjmQSyQmT3ccPvv/egNQfA30n7k96EMbZcmfUphIMOfjqXcnP27GAKoML+GfSffjjaQHsDnpUbyR9AD+mXQ/TP/8CdwDZ8TDq5hEbkfwWjsCtaJItZ7U7G4OW5gIiPBke2evdJhorJ5mcT2nPRyjojAy6HUoKylUtI33nG0VcrF8eC1+6roFJwXruHVOClb81HULrh9ei1YhV9XYCqwpqF1RArNJI4GU7iZg4yIxZDdxAq3jJPCvp8c9pNfpUJxrxjybFcW55qgOEwFnw2dKSAU3o4Z3wrQSnDCtDp9rAgJfZ3esFZd3N0VmfEQk0hvEgJ8S8yrE7YiIiCjquD0CGjsc2NfcjcYOB9ye0LW5ExERERERERERxSo2FBEREWlMgkEf1OACxaF3JdJEqTpgpsy3fx439IdemPpYkrOAwa6zn5vzxQlb51wGPHeT6t12nV+Gk7vGtxMV6DokG0nydD24x/0Chje8BcOdL2NmzqcUN58cF/LRLmQiT9ejetxA4FYUqdYTt0dAXUPLlI6tRMQn2+/dEDhM5NXTDNRvEBu2KKZUlNqw+cAJWUG6AmsKNnx9LiqfO4DW7gE4kIIn3DfhSfcNKNK1IR396EUqmoR8yXawse64vBCvH+lAu905+liexYSy+QWoWGjTTphIbvguhnnDZ9XbGmVvIxXcjBreCdM71srfJo4nTLs9Ao539sE+6IIl2YiZSlq5+FyT0pDzyl2AyRKOkRGRLwsqxRZTOe+NMm3A/MpQj4iIiIiCzO50oWZ3M+oaWsb9fTfXkoSykkJUlNpg0crfbYiIiIiIiIiIiDSOgSIiIiKNae914riQjz7BhDSdM/AGRGM5PECTRPPPRUZAavJs3kXjPz/dOPnu62rc+QqgMwDOM4ApQ7xbv94AnHpP/T4zbWgt/gaw62yrkhkDkmGisRLtLUDtjTCs3KV48rkHetSNLMFq44uqhj2SOh3PDH8OP3cs8Rsmkmo9Od7ZpygANVXBnGyveCK3xw3sr1F2kH01wJVrOIE7xlhMRtSuKEH5pga/oSKDToclF0zDDGsKXq0qxTN7mlFX34p2uxMe6PGBMEPRcfMsJnz3i3Pw3S/OQVNnH3oHXUhPNqJISQghXJSE72KY0vCZr+Bm1OGE6YCCNsmMz3V8Y8iZKLqY0oHyLYGDgJk2cT0GAImIiKJKS1e/5N+JOuxDqN7WiM0HTqB2RQkKs3jjNiIiIiIiIiIiokAYKCIiItIYp8sDANBBiPBIKCoddkHy1LlEYsJskhnIOX/8Y87eqY/FnC/u11fAI3s2YJ6uPLSUUQiUb0Gayzru4QrDawHDRKM+mehZUbpK9uTzBL0OIx4BNe7rcLNhp7xjZdqAmzcBnhHAlIGE7GJ8ZdiDgTFBBy85rSf2QYnmqRAI1mR71RO51QTaHG3A6WPAtPMDr0tRpTArFa9WleLnbzTi2X+2wC1Mvsi5BQE1e5qx/b1TqF1Rgqolxbhv8azRMNCf32nDb/fKb/gaG6grzjUH7WsJOjXhOwA4/QGQdmlMBfDkhs/8BTejDidM+xXUSWZ8ruMXQ85E0claBKzcCdRvFH8mHW1nl3lbc+dX8npNREQUZexOV8Df+wGgtXsA5ZsasLWqNEwjIyIiIiIiIiIiil4MFBEREWlMriUJIx1tSNWFr4mEYsghidBJth6Yrve9rOSeyRMeTelTH8u8CumJlHoDcFkFsGOt/P19ahFw2+8AkwUzPQJyLUnosA9BDw/KErYrG9u+GliuXCN78vnjN12MB196F63dQLnrO4HbkLwTiq1F4x62mAyTgg5yW08syeomv99xeSFeP9IxLsDkT7Am209pIrfaQJvzjLrtSPM8HgF/PdzuM0w01tgJI2aTcTQMNDvPjB2NnbHXXqO2Te4PXweMHvE6vKAyONd8DfCGz55RGdyMSpww7ZOaSWYBzws+1/GJIWei6GVKF9vCrlwj/kxObM0lIiKiqFOzu1nW33YA8fe9mj3NuPOzuSEeFRERERERERERUXRjoIiIiEhjls2Zjs3H/hnpYVA0OuUG2j2+l11iBHQ+AiuWGXBf8V84fvIMhtv/DYtuAOfk5cGQPUtdg5BXpk2cVOvPgkrgYJ3/O/2P3d8nYSIAMOh1KCspRPW2RszUtSFP16NsfJ9M9Cycdn7AyeffuLwQpxxD+P4Nc7D9vVN4/XASljvW4k7DayhLeBPTdd1n9ytzQrFBr1PcejIzJ200RCVXnsWE735xDr77xTmjAaYEvQ47GjvxQsNHIZtsP+WJ3GrDDaYMddtFAbdHwPHOPtgHXbAkGzFTRggtFnhbrn616zj6h9yytvFOGKlaUjz6WMy210ylTc5xUgx1HqzzGYCMVhaTUXVwM2pFcMK0Vq9NaiaZjb1mSOLk9PjDkDNR9NMbGPAjIiKKAW6PgLoG+e3TAFBX34pvzJsWohERERERERERERHFBgaKiIiINObSGRmoQWrgFYkmkmonAoCLJ0+O96QX4PlPPYb+n3wLXxr527hQzoAxE4mZM5CgJlDkbefxBmo8bvHu7s5ecSJu9mxxUpcpXVyv9kb/oaKJ+/tERakNmw+cgKWnX/kYgdGJnlKTz7PNSfjtP1tw7c93jgvx5FqScOPlF2De+Vehz5IIt/4kDEO96iYUSz03PowNUclVNr9gdGL32ADTpwsycf/VxSGbbD/lidzZs5UH2sz54vMfY7yBmrqGlknnYVlJISpKbbBES/hFIX8tV4HU1bfivsWzxp3TMdleE4xmoZ5m8Tq8cldMNauoCW5GvTBOmNbytUntJLOJ1wy/ODk9fjDkTERERESkCcc7+xTdaAkA2u1OfKTi70pERERERERERETxhIEiIiIijdHrdTgu5OO0YEa2zhHp4VC0EATgXYlAUaEByNCf/dw8HWcu/DpWvZOPRw6sQqH+FDBh/myKqwc4pbD1JyUbOP8LwNw7gIxCMSSzdwOwv2Z8MMQ8HbisQmwoshYBK3cC9RuBfTVic9Doev7bfryNI//7dCvgnLQ4sAkTPcdOPm/p6seXf7HHZ5Chwz6E377Vgh3vd6J2RQkMWRcoP7ac58bHBFZviEpOwKLAmoKKhTbJ5aGabB+Uidx6g/g87FgrfyfzKmKuHcJfoKbDPoTqbY3YfOAEaleUoDArtoKocluupLTbnWjq7Jt0jsdCe824Rpik6Sg2T4dObZucV08zUL9BbF4hCkDr1ya1k8x8XTOIGHImIiIiItIG+6Cfm2n50Tc0EuSREBERERERERERxRZ94FWIiIgonOyDLqTCiTRVCQmKW81uwC74XnbJmIYASz7sd+3C1w59Go8MPiaGiaYqMQ1IzgQGTgMHfgv8egnw0/OAn18iBkImTsB0nBQf37gI6G4SgzNXPQCsOgzcWw/c9br4cdVh8XE/jRmFWan4RdVt6EvMUTZmPxM95QYZWrsHUL6pAQ6nwn/M7m4Sv3Y5z80E3hBVgTXF7yEKrCmoXVESkaaVxg6H6onc4yyoFNup5Mi0icGzGBLy81DjlLRcSen1M9HEG6ibZ7OiONccFWEiu9OFdduO4YrHt2NZ9U7csuEtLFu3B08PLArOAfbViK1pRH5Ew7VJ7SQzf9cMimPekLMSMRhyJiIiIiKKNEuyur9zpiXx/qpERERERERERET+MFBERESkMT0Dw7jL8FeYdJzUSAockjhfDAAuHPOPrfY2HNnyEyy1b5l6mCg1R2z5Ge4DBie0GfV3As4z/rfvaQZqbwScdvFzvQGYdj5QsED8KHMipiXFhLQr7lY2dj8TPZUEGVq7B1Czp1n+cZ294tfcE2Cbic/NGIVZqXi1qhSrl85GnsU0blmexYTVS2dja1Vp2FshvGGH25/eq2r7SRO5TelA+ZbAoaJMm7ien+BZNArpeahxalqufElXOdFEi1q6+rF8/W5Ub2ucFNh7on8pWjzTpn4QRxtw+tjU90MxLRquTWonmcXSNYOCLM5DzkREREREWjAzJw25liRF2+RZTDg3wI2ZiIiIiIiIiIiI4h0DRURERBrT5xxCecIbkR4GRROXAByVCBSdlwCYxjdvzGp9AWUJ26d+3JHhwKGhQHqagfoNUx9LkCZ6qgky1NW3wu2RaIeaaO+GwGEiLz/PjcVkRNWSYux58Gq8sWoRXqy8HG+sWoQ9D16NqiXFYW8mGht26B5QF4b0OZHbWgSs3AksflhslRrLnC8+vnKXuF4MCfl5qHHHO/sUt1xNlGcxoSgnLUgjiqxAjTAOpKDc9Z3ghIqmek2nmBYt1ya1k8wUXzM8buDUe0DrXvEjG75iV5yHnImIiIiItMCg16GspFDRNmXzC6DXab+VmoiIiIiIiIiIKJLY8U1ERKQxFseHyNZNbiUhkvT+CDAsseySySGNHJwBgvHvqEO9QdgJgH01wJVrfDcGedzA6Uax2ceUDmTP9r2ed6JnoPafABM91QQZ2u1ONHX2oTjX7H9FjxvYX6No336fG4j/kB7wuCEWKOwgh9+J3KZ04KoHxOfh9DEx8GDKALKLZbdYRZuQnodRwD6xrUqFsvkFMOhjY8KInEaYViEXy4fX4k7Da1iZuhNpwyob6EwZ6rajuBAt1ybvJLPqbY2yt1F0zXD2igHh/TWA4+TZx83TgcsqxJCzKV3hqEnzvCHn+o3i+zNH29ll5nyx/XJ+JcNEREREREQhVFFqw+YDJ2T9HbLAmoKKhTYIw4NhGBkREREREREREVH0YqCIiIhIYyxQPymf4tQhicn3yTpgVhS83XO0iUGRaecDEBsQPjzRhuQDTyP3WB0S+jvOrutvsm4QJnqqDTL0ytnudOP4icdyTHhutEhO2CEQWRO59QZNPw/BFNLzMApYfLVVKeCdMBILlDTCOJCCJ9w3YbNwG3atzIeh9kvAQJf8g5nzxaAekYRoujapmWQmS3eTdHjZcRLYsRY4WCeGl2OsPY8QlyFnIiIiIiItsZiMqF1REvDmRgXWFNSuKIHZZISdgSIiIiIiIiIiIiK/omCGKRERUXxJTMuI9BAomvR7gA9GfC+bkwAYoqShw3kGdqcLNbub8Y/6elQPPYpz9D4aNgJN1p3iRE+1QYZ0Ods5VTY6Oc+o2y4MlIQdpMRS+CNYQnoeRoGZOWnItSQpbkIBxk8YiQVqGmHaHC406QtRXLJSvF7KNa+CE+LJr2i6NqmZZBaQszdwEyIgLq+9EVi5i201sSqOQs5ERERERFpTmJWKV6tK8cyeZtTVt6Ld7hxdlmcxoWx+ASoW2mLmb0NEREREREREREShxkARERGRxrw7lItPCWnI1PVFeigUDQ67AEFi2aXR84+mbUNJ+Or63ejpPo1XEx9Foa8w0Vg9zcCvFgP/sQdInzF5ucqJnmqCDHkWE4py0gKvOLFRSS5ThrrtwkBN2GGsWAt/BEtIz8MoYNDrUFZSiOptjbK30QGoWGjDqqWzY+p8mlIjzIJKMXwZKPwAAJk2scGNyI9ouzYFfZLZ3g3yfp4Acb36DWLImYiIiIiIiILKYjKiakkx7ls8C02dfegddCE92YiinLTALehEREREREREREQ0jj7SAyAiIqLxEkYGkQh1E4gpDh2SOFeseuCc6Gia8Jino+ylLrR2D6DC8FrgMJGX8wzwy4VAd1PQxuINMihRNr9A3j9UZ88GzNOVDcicL7YraZTasIM1JRGrl87G1qpSFGalBnlU0S8Y56HbI6Cxw4F9zd1o7HDA7ZFKHmpTRakNBdYU2esLALa9J/PaEUWm1AhjSheb3DJt/lfOtMF9+xY09uqi9nyh8Ajpa2SIeCeZ7XnwaryxahFerLwcb6xahD0PXo2qJcXyw0QeN7C/RtnB99WI2xEREWmFxw2ceg9o3St+5OsUERFFOYNeh+JcM+bZrCjONTNMREREREREREREpAIbioiIiDTmwtbfIVWnvvGD4shpN9Dm8b3sYiOgi45/QK3P/DKaG4eghwdlCduVbew8A/z2BqByN2CyyNrE7RFwvLMP9kEXLMlGzJxw58qKUhs2HziB1u6BgPsqsKagYqFN3lj1BuCyCmDHWnnrA8C8CnE7jVIbdqi7ez7Ony7v+xURHjdwuhFw9oqhjOzZYf8+qD0P7U4XanY3o66hZVyLSK4lCWUlhagotcESBQ0+FpMRtStK8KVf7BHbdmRo7R5AzZ5mVC3RbghPqSk3wliLgLv/Dvx9HTAyYUVzPpyf/gZqXNfhmV81ocP+3uiiaDtfKHxC9hoZYt5JZqqdbgQcJ5Vt42gDTh9T1ZhIREQUVM5esWlvf8341zPzdPF31AWV6ht1iYiIiIiIiIiIiIiIKKoxUERERKQlHjcubPtjpEdB0UKqnQgALomOCeBCpg0Pn1wIAJipa0Oerkf5Ts60APUbgKse8Lua3KCFN8hQvqnB74TpAmsKaleUyG83AMSJWgfrgJ7mwOtm2oD5lfL3HQFqww5TmtQdShqaaKfmPGzp6pdcv8M+hOptjdh84ARqV5RERTPUjMwUJBsETNOdgAX9sCMVx4V8ePwU7dbVt+K+xbNi5o603kaY6m2NsrcZbYQZez679MAFc8+udNEtaP30Pfh63TG0drdN2kc0ni+xJFDwNZJC+hqpZc5eldudCeowiIiIFOtuAmpv9P07qOOkeMOLg3Vis6W1KOzDIyIiIiIiIiIiIiIioshioIiIiEhLTjciyXk60qOgaCAIwLsSgaIZBsAqPeFeM0wZaFmyAU3PdQMALOhXv699NcCVayRbZJQGLQqzUvFqVSme3X0c/9z7Fob7e0bDDNMsKSibX4CKhTblE6VN6eJELakJXV6ZNnE9ma1LkTKlsIPWaHCinfc8fGZPM+rqW9Fud44uy7OYxp2Hdqcr4AR/QGzxKd/UgK1Vpdqe6O/sRc/2dXjZ9RvkJZ0NGrYLmagbWYIa93VwIGXSZu12J5o6+7QbWlNBVSPMxPPZdM74FQ+/CMP+FwDngwByJfcXNedLjIiWhrGx16bf7W1Bh2PMWM1JuH1BobrXSC1TGyY1ZQR1GERERIo4ewP/7gmIy2tvBFbu0vzvoERERERERERERERERBRcDBQRERFpyUB3pEdA0aLVDZwRfC/TUDuRWwAMUtkR5xnkvfZNFOjWoFXIhR1TaMBwtAGnjwHTzp+0SFXQAgOw7N2A+w/W4P6Rk0CSuM5Iai708+6C/vJ5gJyJ0h43cLpRnMhlSgeyZ4thlJU7gfqNYhDKMaYdxJwPzKsQm4miZCKXqrCD1mh4op3FZETVkmLct3gWmjr70DvoQnqyEUUTGktqdjfL+h4A4rles6cZVUuKQzXsqfkkDJPd0wxMuH7k6Xqw2vgibjbsRLnrO2gVJodhegf9tLdpla9rxScBScWNMBiQdT6fI3Sg1vgYrh9eiz4f4SwvzZ8vMSIaG8YEAZN+RqETH5d4hxK9smeLbXVj2+sCMecD2fy5ISKiCNq7QV47LiCuJ6P5l4iIiIiIiIiIiIiIiGJLFNy6noiIKI44z0R6BBQtDklMmNcDmBOczLhL8N32I5fHX5joE6a+E3je+H2kYQDHhXy0C5nqDyjx86M0aPHStt3AxkViI82EicMJ/R3Q/+MxcXl3k5+x9AI7fghUzwGeWgD85lrxY/Uc8XFAnKi16jBwbz1w1+vix1WHxcejJEwEnA07FFilAwnAmLCDFhsr1Ey0CzODXofiXDPm2awozjWPCxO5PQLqGloU7a+uvhVujwan/MsMdxXqT6HW+BjSMPlnOz1Zg+eYlEDXCmcvgLONMKuXzkaexTRuF3kWE1YvnY2tVaVi0ETB+VyoP4UKw2sB19Ps+RIkbo+Axg4H9jV3o7HDEfavVWnw1eGMbGiupasfy9fvRvW2xnFNSsDZ8NPy9bvR0jWF5kGt0RuAyyqUbTOvQrI5kYiIKOQ8bmB/jbJt9tWI2xEREREREREREREREVHcYEMRERGRliSaIz0CigYjAnBEYjJxcQKQEpzM+Asji7DIcASF+lOqttcHCBN5naPvxkrDK/ip+zbUjSzBauOLqo4HU8akh9weAS/UN6FYdwIW9MOOVBwX8uGRyNWbMYAl+1YB6PB/LH9NNZ+0q/ic0O84KQaVDtYB5VvEtiIfrUrRxht2eGZPM+rqW9Fud44uy7OYUDa/ABULbdoME6mdaHflGs1MFD/e2TdpUn8g7XYnmjr7UJyrsdcdFWGYJ9w3jT6WnZaI7v5hNHY4MHNCi5PmKLxWyGqrUnE+lyW8iSfdN0heFwENny9TZHe6ULO7GXUNLeN+hnItSSgrKURFqQ2WMFy3oqlhTFXrnxav/WosqBR/JuVcozJtYtsgERFRpJxuVNasB/ht/iUiIiIiIiIiIiIiIqLYxEARERGRlgw7Ij0CigaNI4BUduCS4E3a/bKxAfcM/Td+aHxacajII8gPFAHAnQl/Q7X7VtS4r8PNhp3KQ0zmfCB7wuRqZy96tq/DluHfIC+pZ/ThdiETdSNLUOO+Dg6Mb9WpMLyGGYHCRF7eppqrHhh3TDntKn4DSVFKVthBi2Jgop19UF1bSa/K7UImCGGY033DuO1XewGEPxSiyBSuFd62Kp9UnM/Tdd0o0rXhA2GG3/U0d75MUUtXv2Qwxtuys/nACdSuKBGbn0JEbcPYfYtnReTaGk3hp6AzpYsBv0A/u5k2cb0YeX0nIqIo9UnTpfLtzgR1GERERERERERERERERKRtwbl9PREREQWHj4YVokkOSUzqNgGYHby8uAX9+KHxaXxt+GE4BJOibZXOcTbrBjFLdwIOpKDc9R2cERRO3p5XMb4tprsJ2LgI2f/6KfJ0PeNWzdP1YLXxRbya+BAKdGfDQ3p4UJawXdlx99WIIQgvBe0q6GkGXn8YOPXe+H1EOW/YYZ7NiuJcs7bDREBMTLSzJKsLy6Sr3C5kphCG8cUbClm+fjdauvqDMcLgUXqtqN8gb12V53M6Aj8/mjtfpkBpy47DGbow1VQaxsJNbfjJ7RFCNKIIsBYBK3cCix8Ww8xjmfPFx1fuEtcjIiKKJFO6yu0ygjoMIiIiIiIiIiIiIiIi0jYGioiIiLQkxRrpEZDWDXiAYyO+l11oBBKCG94o1J/CPQlbYdY5g7pfX0rT2gEArUIuPj/0GM54ZIaKMm3A/Mqzn8ts/ijUn0Kt8TGkQZxQPlPXNil8FJC3qQZQ1a6Ct38LPLUAqJ4D7Pih+nALqRcDE+1m5qQh15KkaJs8iwlFOWkhGpFKIQrDhCMUooiaa8XE8KIUledzL/xfbzV5vkyBmpadUImmhrFoCj+FlCldbCdcdRi4tx6463Xx46rD4uNsJiIiIi3Ing2YpyvbxlfzLxEREREREREREREREcU0BoqIiIi0xDoTAl+eyZ8jI4BHYtkloWmP+HLC3pDsd6L/ufY8rLlmJi5PO4V8XReqRu5Diyfb/0aZNqB8y/jJuwqaPwr1p1BheA2A2MikirepRkW7yijHSWDHWmDjIrFdicInBibaGfQ6lJUUKtqmbH6B9tqjQhSGAUIfClFEzbVibHjRHxXn80nBiiYh3+86mjxfVNJay040NYxFU/gpLPQGYNr5QMEC8ePYpkQiIqJI0xuAyyqUbTOx+ZeIiIiIiIiIiIiIiIhiHmcsExERaUn3cegk0yJEAA5JTMrN0AEFoZn4kwl7SPY7UUr7ftx/8AY8P/Lf2Jz0KH6b+COck6aHx3YlkJY3fmVzPrD4YWDlLsBadPZxFc0fZQlvQg8P7DJCCT55m2qC0S7U0yy2KznD85wTYmaiXUWpDQXWFFnrFlhTULHQFtoBqRGiMIxXKEMhiqi9VnjDi/6oOJ/rRq6Gx8+fBjR7vqiktZadaGoYi6bwExEREQFYUCnehEOOic2/REREREREREREREREFBcYKCIiItKSYAQSKHZ1e4ATbt/LLjYCuhC2RyRnhW7fAAAdsO/Xk1o7EgZOQd+8CzCagNs3A3e9DtxbD6w6DFz1wPhmIkBV88d0XTeKdG04LuSjU2dVNuyxTTUq21Um6WkG6jcEZ18kTwxMtLOYjKhdURIwVFRgTUHtihKYTRqc4B+CMMxYoQyFKKL2WuENLwai4Hz+WJeLGvd1kss1fb6opLWWnWhqGIum8BMRERFBfN9ZviXwe0Nfzb9EREREREREREREREQUFxgoIiIi0pJgBRIoNkm1EwHAJSGe7H3RTaHdPwK0hvQ0A39ZA0y7EJh2vnQ7jMpQXjr6McOaBmPJXco2vOyOs2NR0a4iaV+N2LY0gdsjoLHDgX3N3WjscGijbSUWxMhEu8KsVLxaVYrVS2cjz2IatyzPYsLqpbOxtaoUhVkq27jCQUEYpsUzzW8YxpdQhUIUUXOtGBte/ITk9UDB+Wy551Xcs/TT0Xu+qKDFlp1oaRiLpvATEdE4Hjdw6j2gda/40cf7bKKYZS0CVu4UG37NE5o9pZp/iYiIiIiIiIiIiIiIKG4kRHoAFJuGhobQ2NiIEydOwOFwYGBgACkpKTCbzZgxYwbOO+88JCYmRnqYFCbt7e1obGxET08P7HY7AMBisSAzMxOzZ89GXl5ehEdIpCHZszGQNA0pQ6ciPRLSGkEADg37XpavB7IlAjbBYM4HFj8EHPsbcKYldMcJxNvcc9UD0uuoDOXdePkcfHlZKcyYCzS+KB5Ljn2/AaATQxCmdLFdZcdaVWMYx9EGnD4mhqcA2J0u1OxuRl1DCzrsQ6Or5VqSUFZSiIpSGywx1CASEd6JdvUbxUCXo+3sMnM+MK9CbCbSaJjIy2IyompJMe5bPAtNnX3oHXQhPdmIopy06JjU7w3D1N7o9+ewxTMN5a7voA/yQhheoQyFyOZtYlJyrZhXMRpelHU9mHg+T8xRldwDXHEXzCYLqqYjes8XFbwtO2Ofu0BC3bLjbRgr39SA1u4ByfW00BhVUWrD5gMn/I7TK5LhJyIiAOLNBvZuAPbXjG8xNU8XX4u97+GJYp0pXfw9+so14u+ZzjNi+2V2sfTNOoiIiIiIiIiIiIiIiCguMFBEQbN37168/PLL+Otf/4ojR47A7Za+26fBYMCcOXPwhS98AV/+8pexYMGCMI6UQu3MmTPYvHkz/vKXv+Dvf/87enp6/K5vtVrxuc99Dtdffz1uuukmZGRkhGegRFqkN+Bw3g0oaflVpEdCWvOxG+iRaKMJdTvRvAogxQpc/1Pgd7cEddeCTg+d4JG/wb4acRKU1KQnb/PH2AmDgcaQmoOvX5IG2D8Qt5cRZhjV1yGGAg7WidstqBT/X24gyR/nGQBAS1e/5CTzDvsQqrc1YvOBE6hdURJzTSJhF0MT7Qx6HYpzzZEehjp+wl0nBSvqRq5Gjfs6xWGiUIdCFFFyrci0iWE2KL0ejDmfWw8DB8cca95d48JxUX2+KORt2ane1ih7m3C07Hgbxp7Z04y6+la0252jy/IsJpTNL0DFQltEw0RAdIWfiELB7RFwvLMP9kEXLMlGzIzhAGbU626Sfk/vODn+PTybWShe6A2jN60gIiIiIiIiIiIiIiIiAhgooiB44YUX8OMf/xgHDhyQvY3b7cahQ4dw6NAhPP7447jsssvwrW99C7fddlsIRxpejzzyCB599NGIHX/hwoXYvXt3WI954sQJPPbYY3j22WfR398ve7vu7m689NJLeOmll1BVVYU777wTDz74IGbMmBHC0RJp17rGTPwuKdKjIM05OLFe4hM6ABeFcLKuZcboRHYkqZts/vzI5/A5w0FM150NmJ4UMvG6+7O4M+FvynY2oblnkuE+IGuWokCRrr8TeOYL4ifeu5Xf8Spw8Hlg3ybA0R54Jz3N4oTFlbuUBZL8MWXA7nQFnLQNAK3dAyjf1ICtVaWcvB0MnGgXeWPCXc3vv4M1v/0HepGKJiEfHuhV7TIcoRDZZDYxIdMmrmeyqL8e6A2A9VMA/Bwnzmi1ZSdaGsaiJfxEFExsi4wyzl5578fHvofXeAslEREREREREREREREREVEoqJuJRQTg3//+N6666ip87WtfUxQm8mX//v346le/isWLF+P9998P0ggpXDweD37605/iggsuwFNPPaUoTDRRf38/nnzySVxwwQX42c9+Bo9HQWsFUQywPbgVXze8GelhkNa4BeDIiO9lsxKAVAVv6W7aBMy9E2ISSY4xrUimdPnHGWOT+wtYOPQErhn6EW4e+j9cM/QjLBx6Aq+4L1e1P29zzyTdTcDGRUDzLnX7Bc7erfzZ5cDFt3zyXMnU0wzUbzjbrrL4YcCcr24c5nwguxg1u5tlTXgHxBBBzZ5mdccj0iq9AaeTP4X9wnn4QJihOkwUzlCIbP6uFeZ88fGVu0ZbE3g9CB5vy06B1X/LVaRadryNUfNsVhTnmjUVJvLyhp/2PHg13li1CC9WXo43Vi3CngevRtWSYoaJKKa0dPVj+frdqN7WOC5MBJxth1u+fjdautT/LYSCbO8G+eF+73t4IiIiIiIiIiIiIiIiIqI4xEARqfLSSy/hs5/9LHbu3BnU/e7YsQPz5s3Dli1bgrpfCp3e3l4sX74c//M//4O+vr6g7bevrw9r1qzBl770JfT29gZtv0Rap4cHlxuORnoYpDUfjACDgu9llyicsPvXB4Du4xgXFPLH/vHZCXbZs8UGHwU6BQuMGMFndMegA/C2UDwaCrAjVdG+RpkyJj8m9y7kcvU0A7+9Adhfo2y7fTWAx322XWXVYeDeeuAz5cr2M68CbuhR19CiaLO6+la4PTK/t0RRwpI8tWBCpEIhsky8Vtz1uvhx1WHx8U/aEtwegdeDIPO27KxeOht5FtO4ZXkWE1YvnY2tVaUozFL5WhUnoiH8RDQVStvhHE6JVlEKH49b/Xt4IiIiIiIiIiIiIiIiIqI4kxDpAVD0efLJJ3H//fdDEEIzOa2vrw8333wzfvGLX+Dee+8NyTEoODo7O/G5z30OR4+GLvywdetWLFy4EDt27EB2dnbIjkOkBbYHt6JY14YMHe9sTRMckpiYmAjgPIVv5wa7lDf41P8KWPjfQEIicFmF2OAjU47Ojr8mPTT6ebuQibqRJahxX4fjQj7ahUzk6Xrkj+WT5p5JlNyFXK4zyibvAwAcbcDpY8C088XP9Qbx/6/9f+LzLmeMmTZgfiWOd/ZNugt+IO12J5o6+1Cca1Y8dCKtmpmThlxLkuKfh5y0RJRfbkPFQps2w0Rjea8VEng9CA1vy859i2ehqbMPvYMupCcbUZSTxmAMEQFQ1w5XtcTHe1UKn9ONYuuoEhPfwxMRERERERERERERERERxQk2FJEizz77bEjDRF6CIOA///M/8dvf/jakxyH1ent7ce2114Y0TOR15MgRLFu2jE1FFBcsYJiIJnAKwPsjvpddaASMYZjwPNAJVF8I7Pgh8OkyMfCiUp6uB6uNL+LVxIcwQ9eJupElynYwr0KceD+WmruQh5LzzOTHTOlA+ZbAz12mTVzPZIF9UN0d7ntVbkekVQa9DmUlhYq3u/6S6ahaUqz9MJEMvB6EFlt2iMgXtsNFKafKvx35eg9PRERERERERERERERERBTjGCgi2RoaGnD33XfLChNdccUV+MUvfoEDBw6gu7sbLpcL3d3d2LdvH9avX4/58+cH3IcgCLj77rvxr3/9KxjDpyC788478fbbbwdcLyMjA//xH/+BV155BR999BEGBwcxMDCA1tZW/PnPf8bKlSuRnp4ecD9vv/02KioqgjF0Ik3rQ3Kkh0Bac9QFuCWWXRLGSfL9nWIz0bPLgS+un1KoCAAK9adQa3wMf3BfhRbPNHkbfdLcM4mau5CHkinD9+PWImDlTmDxw2LT0ljmfPHxlbvE9QBYktV9f9NVbkekZXdcUQiDwoxH7VutODMwHJoBhVksXw/cHgGNHQ7sa+5GY4eDE/GJSDOm0g5HEWQK/Dcm39tlBHUYRERERERERERERERERETRICHSA6DoYLfb8dWvfhUul/87XBcXF+OXv/wlliyZ3DaQmZmJyy67DJdddhnuv/9+/O1vf8O9996L48ePS+5veHgYt912G9555x1YLJYpfx1a8vTTT4d0/3l5eSHb9/r16/Hyyy/7XUen0+G//uu/8H//93/IyMiYtPzcc8/Fueeeiy9+8Yt47LHH8H//93944okn/O5zy5YteOKJJ3D//fdPYfRERFHmkMRrr0UH2Ay+l4VSTzPwShVw51bgnTqg4Wmg/5SqXRXqT+FWwz+wOukRvJj2I+h6mqVXNucBX/gJkJg6eZnau5CHgjkfyC6WXm5KB656ALhyDXD6mHgndFOGuM2E5qWZOWnItSQpmsiaZzGhKCdN3diJNOyUYwhuhTkTtyCg+o1GPPrli0IzqDCKxeuB3elCze5m1DW0jPu6ci1JKCspREWpDZYYaJciCR63GAh29oqvjdmzJzcQEkUY2+GiVPZswDxd2Q0HAr2HJyIiIiIiIiIiIiIiIiKKUQwUkSzf/e538eGHH/pd55prrsGLL74oq20GAJYtW4Z9+/bhpptuwt///nfJ9T788EM88sgj+NnPfqZozFr3zW9+M9JDUOXjjz/GQw895HedxMREvPDCC7jxxhtl7TMzMxPr16/HokWLUFZW5je49tBDD+Hmm29Gfn6+5DpE0SwNg5EeAmnJGQ/QIlFPdJER0Cms6wiWnmYxTHTp14B//mJKuypLeBOJ878FXelOoH4jsK8GcLSdXUGnBwQP4GgHfneLODnwsgpgQeXZu4+rvQt5KMyrkDchWm8App3vdxWDXoeykkJUb2uUffiy+QUw6CN0XhCFkNpJ3a8cOonvfnFOwJ8Lt0fA8c4+2AddsCQbMTMnTVM/S7F2PWjp6kf5pga0dg9MWtZhH0L1tkZsPnACtStKUJjlI0hK0cvZC+zdAOyvGT/Z39frO7T/s0mxLZbb4WKa3iBeT3aslb+N3PfwREREREREREREREREREQxRh/pAZD2HT16FE8++aTfdS6//HL86U9/kh0m8srIyMArr7yCkpISv+s98cQTeO+99xTtm0LjW9/6Fvr7+yWX63Q6PP/887LDRGPdcsst+N3vfud3nb6+PnzrW99SvG+iaLD0/BzYwUmzNMa7fibQXxrhiYoNTwO/XAgMTa0daLquG3edP3K2uWfVYeD2zeLEYkAME43lOClODty4COhuEh/z3oU8FNLygEybvHUzbcD8yqAevqLUhgJriqx1C6wpqFhoC+rxibRC7aTu7v5hNHX2SS63O11Yt+0Yrnh8O5ZV78QtG97CsuqduOLx7Vi37RjsTu20TMTK9cDudEmGicZq7R5A+aYGOCL9PfC4gVPvAa17xY8eiaAvBdbdJL5+71g7uTlkwut7NP1sUuzytsMpofV2uLixoDKi7+GJiIiIiIiIiIiIiIiIiKIFA0UU0KOPPoqRkRHJ5VarFb///e+RkiJvcttEqamp+MMf/oCMjAzJdUZGRvC9731P1f4peI4ePYoXXnjB7zpr1qzBTTfdpPoYt956K/77v//b7zrPP/88/v3vf6s+BpFWzZyWhuNCPk4LlkgPhbRAEIBDEpNl8/TANPEO2iNChN7O9Z+acpjIK9UzZrL/cB/wlzWTJxpP1NMM1N4IOO1n70IeCp9dAZRvCTwhMdMmrmcK7s+vxWRE7YqSgCGCAmsKaleUwGziHfEjze0R0NjhwL7mbjR2OOD2CJEekiZM9XmZmZOGzBR153evRLtRS1c/lq/fjeptjeiwD41b5m3JWb5+N1q6pMP04RQr14Oa3c0Bw0Rerd0DqNnTHNoBSXH2Ajt+CFTPAZ5aAPzmWvFj9RzxcWdwXgPjhrNXfN3uafa/Xk8zXM/cgK+s+1vU/GxS7PK2wymh5Xa4uGJKj+h7eCIiIiIiIiIiIiIiIiKiaMFAEfnV1NSEzZs3+13nBz/4Ac4999wpHaewsBCPPvqo33X++Mc/orm5eUrHoan58Y9/DEGQnvxZWFiI73//+1M+zv/7f/8PM2bMkFwuCAJ+/OMfT/k4RFpz+GM7PNCjdmRppIdCWnDSA5z2+FzkuNiM/xz6T1wz9CNcNrQBP3Xdgi7BHOYBBpEpQ/zocQPbvx94srFXTzNQv0H8fyV3IdcnyFvPe7dyaxGwciew+GHAnD9+HXO++PjKXeJ6IVCYlYpXq0qxeuls5FlM45blWUxYvXQ2tlaVojBLQw1ncdjowTYN34L1vBj0Oiy/JD/wij6k+2g3mmpLTqSCY1F5PRjD7RFQ19CiaJu6+tbwB/MUNOmQTHs3yH59N9pbsNT+kt91NNNgRTEvVtrhwkJr7/8i/B6eiIiIiIiIiIiIiIiIiCgayJxNSfHqySefhNstPQGguLgY99xzT1COde+992LdunVoavI9KcvtduPJJ59kkCRCurq6UFdX53ed733vezCZTH7XkSMlJQWPPvooVqxYIbnOc889hx//+MewWq1TPh6RVvR+MiHyr+55+O+EzdDxxtbxTaqdSAeYL3bj54lPYcPIF7HR/UU84b4Jf/PMw+tJD4Z3jMFgzgfScsW2h32/AfralW2/rwa4cs3Zu5AHaj/ItAFfXA+8UhV4vbF3KzelA1c9IB7r9DHAeUYMQmUXiw1JIWYxGVG1pBj3LZ6Fps4+9A66kJ5sRFFOmrbugu/sFSeN768ZPwnfPF1skVpQKT6XMaalq18ynOJt09h84ARqV5RoNugRCsF+XlYvmy2GS/wE3CfKs5hQlJM26XE1LTlVS4phd7pQs7sZdQ0t45pTci1JKCspREWpDZYQNwNFzfXAh+OdfZMaZwJptzvR1NmH4twwBWcVNOmg9kZxMjqbLfzzuMXXBQXKEt7Ek+4b4PFzH5yxP5tEoeJthwsUQtV6O1xIafn9X4TfwxMRERERERERERERERERaR0bikiS2+3G888/73edVatWwWAIzj/AJyQkoKqqyu86dXV18Hh8tzVQaP3+97/H8PCw5PJzzjkHX/va14J2vNtvvx25ubmSy4eHh/HHP/4xaMcj0gJLkng9/ZHxaYaJ4p1HAA5LBIqKDIBZjwSdB/9p/BNeTXwIBboOHBNmoF3IVHQYBXPyQ2fODcDTnxPbHpSGiQDA0SZODgTk34W86Cr1dyvXG4Bp5wMFC8SPYZ6IaNDrUJxrxjybFcW5Zm2FB+K00WOqTTexKhTPS2ZKIr5xRaGicZTNL5j0c6K2Jaepsw/L1+9G9bbGSaEYb0Bq+frdaOnqV7RvtTR9PZBgH1R3/veq3E4VBU0645rySNrpxsmvCwFM13WjSNcWcL2INFhR3In2driQipb3fxF+D09EREREREREREREREREpFUMFJGkN998EydPSk/6MZlM+PrXvx7UY95xxx1ITEyUXN7W1oYdO3YE9Zgkz+9+9zu/y++8804YjcG7E29SUhLuuOOOKY2JKNrkZ5qQgBFcov8w0kOhSDs+AvRLTI69ePy1tlB/CrXGx5ACJ+pGlig6jE4HOISpN8upllEA/PtV+RO3pTjPnP1/713IVx0G7q0H7npd/LjqsPj4xMahQOuRPEobPZz2cIwqLNQ03cSDUD0vq5bOxozMZFnrFlhTULHQNulxtS05t/+6nsGxKbIkq/t9IV3ldoqpaNLBvhpxO5Lm7FW1WToCh/O8DVZEoeZth9vz4NV4Y9UivFh5Od5YtQh7HrwaVUuK47eZKE7f/xERERERERERERERERERxQoGikjSK6+84nf59ddfD7PZHNRjZmRk4POf/7zfdQKNi4Kvq6sLb731lt91vvrVrwb9uIEaj/bs2YPu7u6gH5coUo519ONz+neg1/Eu63HvkMREdCOACyZPVizUn8L/GH6Pg54ijCg+fSLUaJFpA877AnCmdcq7cielT35Q7l3Iebfy4IjTRg+1TTex3qYRyufFYjLid9+cjwJrit/1CqwpqF1R4nOCt9qWnJO9TlnrxVNwTKmZOWnItSQp2ibPYkJRTlqIRjSBiiadcU155JvJx+u0DL2Q1/YS1gYrinvR2A4XMnH6/k/zPG7g1HtA617xI0OvREREREREREREREREROQHA0Ukadu2bX6XX3/99SE5bqD9vvHGGyE5Lknbvn07BEF6gmdBQQEuuuiioB/305/+NM455xzJ5R6PB2+++WbQj0sUKcdP9WEaeiI9DIq0IQH494jvZRcYgUTfkxbvNL6BZ5N+hASFcxrNukHYPfLaPoJhGAnwfO4h4O4dwNE/TXl/JwUr/nwiBY0djsiGNOJ54l4cN3qobbqJ9TaNUD8vhVmpeLWqFKuXzkaeZXzLWp7FhNVLZ2NrVSkKsyaHEexOF/70TpuisakRD8ExNQx6HcpKChVtUza/IHwT9lU26YxryqPJsmcD5umKNjkpWNEk5MtaN2wNVkR0Vhy//9MsZy+w44dA9RzgqQXAb64VP1bPER9X+xpHRERERERERERERERERDEtIdIDIG06efIk3nvvPb/rXHPNNSE59tKlS/0uP3LkCNrb25GXlxeS49Nk27dv97s8VOeCd9/PPvus5PJt27bhlltuCdnxicJpaMSDU8iM9DAo0t5zARJ5Ilwcmgmzbl34MubDxnQkLvofdS0QPtSNXI0n/ngYAJBrSUJZSSEqSm2w+GglCQlnr3h39v01478e83TgsgpgQaXqZoaoMZVGj2nnh2ZMYaK26SbW2zTC8bxYTEZULSnGfYtnoamzD72DLqQnG1GUkyYZPmnp6kf5pga0dg+oGp8S3oBUcW5wG11jQUWpDZsPnJD1fSiwpqBioS30g/JSe702ZQR1GDFHbxBfE3eslb1J3cjV8Mi4B05YG6yI6Kw4fv+nSd1NQO2NvhujHCfF6+/BOqB8C2AtCvvwiIiIiIiIiIiIiIiIiEi72FBEPjU0NPhdfu655+Lcc88NybFtNhumT/d/9+J//etfITk2+RbofFi4cGHIjn3FFVf4Xc5zgWJJWqIOOzyfBgsN4twhiQn1aTqgyBCSQ2bq+kOyX1/SXF3iRMIg3CG7xTMNNe7rRj/vsA+helsjlq/fjZYueV+T2yOgscOBfc3dyluOupuAjYvECXoTJ1R6J+5tXCSuF8viuNHDorIVI9bbNML5vBj0OhTnmjHPZkVxrlkyTGR3usIWJvKKdHBs7PVt4jXRI0zh2jdFFpMRtStKUGBN8btegTUFtStKYA5XQBRQ1aQDcz6QXRya8cSSBZVApk3WqhNf3/0Ja4MVEZ0Vx+//NMfZKx0mGqunWVzPaQ/HqIiIiIiIiIiIiIiIiIgoSrChiHw6cOCA3+Vz584N6fHnzZuHV155RXL522+/jS9+8YshHQOJhoeHceTIEb/rhPJ8mDdvnt/lhw8fhsvlgtEY2xNzKT4UZptx8MQZjECPRHgiPRyKBLsH+NDte9lFRiAEE2bPCCnI0KmdYK8HVJyr/fbTSLVkqTymqMUzDeWu76APkyekt3YPoHxTA7ZWlUpORLc7XajZ3Yy6hhZ02IcAAHp4UJLWiZsuNOMLnz0faedcKLYq+KJ04t7KXYDJouArjCJx3OgxMycNuZak0XNIjnho09Di81Kzu1l1mCjHnIROh/yvxStSwTFf17e8ZAHf+fTZdW7/dT2OdJ4NPIW74a0wKxWvVpXimT3NqKtvRbvdObosz2JC2fwCVCy0hTdMBKhq0sG8CunXCjrLlC42YwR47fRk2PBt57fRN+w/cAZEoMGKiM6K4/d/mrN3Q+DfSbx6moH6DcBVD4RyREREREREREREREREREQURdhQRD698847fpdfcsklIT1+oP2//fbbIT0+nXXkyBG4XNJ3VzcYDLjwwgtDdvyLLroIer30pWp4eBhHjx4N2fGJwunMwBBm6tqQqGOYKG6966fN4pLQTKpWHyYC1ISJAKDyxSa06M5R3gIB4KSQiZ+6bsH1w2vRKuRKrtfaPYCaPc0+l7V09WP5+t2o3taIDvsQzBhAleEl/DPpfrwwsgpfOfRNpG0qxchPLwR2/ND3HdjVTNyLVXHc6GHQ61BWUqhom3ho09Da8+L2CKhraFG9fYJehxxzoqJtIhUcm3h9k9LVNzzuczUNb1NlMRlRtaQYex68Gm+sWoQXKy/HG6sWYc+DV6NqSXH4w0ReCpp0kGkD5leGcjSxxVoErNwJLH5YfB0Yy5wPLH4Y+spd+OHdX9ZmgxURnRXH7/80xeMG9tco22ZfjbgdERERERERERERERERERHYUEQSGhsb/S4vLg7tBIBZs2b5XX7s2LGQHj/cTp06hQ8//BBtbW3o6+uD2+1GcnIyUlJSMH36dMyYMQN5eXkRGVugc6GwsBCJicomWCqRmJiIc889Fy0t0pNAjx07hksvvTRkYyAKl67+ERQjPJN4SaMOSQSKcvRAnkZz4MlWYLBb9uonBSv2nMlEec1+vDH3G0ja/UPZ29a4luH77m/AIzMTX1ffivsWzxoXUrA7XSjf1DDaVFKg60Ct8TEU6k9N2j6hv11sqThYJ7YqWIvEBWon7l25JjZbLOK80aOi1IbNB07Iar+JpzYNLT0vxzv7FLUlTXSy14nLi7LQ6eiSvc1UAlJuj4DjnX2wD7pgSTZiZk6arH1NvL6pIafhLdgMeh2Kc81hOZYsMpt0kGkT14vV9rlQMaWLzRhXrgFOHwOcZ8TGkuzi0deFQhO02WBFRGfF+fs/zTjdCDhOKtvG0SZef6edH5oxEREREREREREREREREVFUYaCIJhEEAc3NzX7XCRT4mapA+w80vmiwceNGvPHGG3jrrbfQ1tYWcP2MjAzMnTsXV1xxBb7whS9g/vz5fpt7guXDDz/0uzzU54L3GP4CRYHGSBQtzCYD7MOpkR4GRUq7Gzgl0fhziRHQabTRxPop4GP5gaK6kavhgV5sEHJ/HpWZv5fV9NPimYafur8iO0wEAO12J5o6+85OVPe48afXtyOn5yiSdKk4JWRIhonG6WkWJ5av3CVOHOfEvckWVIrBKzmtTTHW6GExGVG7oiRgkCPW2jQChV609LzYB/20v8l0vLMP52Ym46OewYDrqg1I2Z0u1OxuRl1Dy7gAVK4lCWUlhagotcHi53mq2d08pTCRl7fhrWpJHLdIeJt06jeKgVDHmN/XzPnipPj5lQwTTYXe4Pc10dtgdd/iWWjq7EPvoAvpyUYUyQzYEVEYxPH7P83w1aQqa7szQR0GEREREREREREREREREUUvBopoko6ODjidTr/r5Ofnh3QMgfbf39+PU6dOYdq0aSEdRyhVViqbSHHmzBm8+eabePPNN/GDH/wA+fn5WLFiBSorK0P6/QgU3gr1uSDnGAwUUay49sI8DL/1MgRBu9kRCiGpdiIAuFjDAYQzH4kTBGWGgmrc141+/sz+btx9zxYYfue/BaLFMw3lru+gDymKh9c76BIn2u3dAGF/DcodJ1GeJC7rE0xI0/l/zzOqpxmo3yC2KnDi3mRx3uhRmJUaN20aSkIvWnleLMlT3/8pxxCerfgs/vdPR0ISkGrp6pcMX3XYh1C9rRGbD5xA7YoSFGZNDh+7PQLqGqQD+Er5aniLOzKadCj0NNdgRURnxfn7P00wpavcLiOowyAiIiIiIiIiIiIiIiKi6MVAEU0ipy0nLy8vpGOQs/+2traoDhRNVVtbG77//e/jxz/+Mf7zP/8TDz/8MDIyMkJyHH9CfS7IOYacc5YoGlx7cT4+u/85honikUcADksEimwGID30jXSq9Z8CbtiM4VdWI9EuPZndVyio3e5EkzsHxRItEII5H78aWIQnnNeoChMBQPbwx8DGrwM9zZj4oyU7TOS1r0acWM6Je77FeaNHPLRpqAm9aOF5mZmThlxL0rgAlBqpSQkhCUjZna6ATU6A2BxUvqkBW6tKJx3jeGfflL++sSY1vMWzAE06RERxLc7f/0Vc9mzAPF1Ze6o5XwzHEhERERERERERERERERGBgSLyoaury+9yi8WCpKSkkI4hJSUFaWlp6Ovrk1wn0DjjhdPpxE9+8hM8//zz+PWvf43rrrsu8EYKBHqewxHqys3N9buc5wLFikNHD6EkNuack1IfugGH4HvZJVHQaJKUhiPL/4w3n/0+yhLexHRd9+iik4IVdSNXo8Z9nc9QUO+gC8i1+myBOObOw2Pr9qge1kyzG4V//bqs9iRZHG3i+DhxTxobPWK2TWOqoZdIPi8GvQ5lJYWo3tY4pf2kJxtDEpCq2d0c8Hn1au0eQM2eZlQt+eR64nEDpxvhaf4IxboTOC7kw4PghFB7B/005xEREXnx/V/k6A3AZRXAjrXyt5lXwe8LEREREREREREREREREY1ioIgm6e7u9rvcYgnPXUUtFovfQFGgccabjz/+GF/4whfwgx/8AA899FDQ9quF8yHQMXguUKxY9s5qthPFq3clJm0nALgwCgJFpgykJmXhCfdNeNJ9A4p0bUhHP3qRiqYAk9vTk8d8fRNaIOzNU7u+/7/pu6FrbZ7SPiZxnuHEPTnY6BFzphR60YCKUhs2Hzgh+2uYKM9iQlFO2ujnwQpIuT0C6hqk2918qatvxX2X58DQsBHYXwM4TuJ8AG8kAe1CJupGlqDGfR0cKpvdvMZdn4mIiALh+7/IWFAJHKyTdxOFTJvYGEVERERERERERERERERE9Ing3LqYYkpPT4/f5WZzeO4sHug4DJFMJggCHn74Ydx3331B26cWzgeeCxQvLCNs24pLwwJwVCJQdF4CkKTxlFnadCC7GDNz0pBrSYIHenwgzMB+4Tx8IMzwGyaaOEF/IssUJrPbMpNQ0v0n1dtLMmWIHxdUihPy5ODEPYpyakMvbo9E81oEWExG1K4oQYFVXcimbH6B3wYit0dAY4cD+5q70djhkP21H+/sQ4d9SNFYEh0tcG9YJIYaJzSl5el6sNr4Il5NfAgFug5F+x23nwDXZyIiItIIUzpQviXw7yaZNnE9U3huFEVERERERERERERERERE0YENRTSJ0+n0uzw1NTUs40hL8z+BLdA4tcpsNqO0tBQXX3wxLr74Ypx//vmwWq1IT0+HxWLB4OAgurq60N3djWPHjmHnzp34xz/+gaNHj8o+xlNPPQWz2YzHH398yuPVwvkQqXPh1KlT6OzsVLTNBx98MO7zvr4+2O32YA6LolR/f7/fzwHgZMpsGDxt4RoSaUTCv3uR4nL4XDYwLw8jpvAEeVWbew/QJ57Pd8zLxW/fOhs60MODc3WdSMUA+pGCj4SccQGjO+ZNQ3/fmK9d8Ih31h7qA5LSMC29EHNyjOjqG1Y0pOnpJvxkiRl9Ww2A6ZwpfXnjpOYASXmA3Q5AB9z0PPBKFWD383NryQe+uB4YBjDM1wOKTi1d/dC5nMhLVrCRaxBHW9pRmBWe3x3kyDQCv7/rUrx84GO8cugkuvvlXVump5tw66VZPt/T9Q+PYMuBj7H13ZPjrlVZaYm4/uLpuHHuOUhNlP61u6unF3nJ8oNXqXDiSeNv4BwegdPP9S0TwK88v8G9rv/GAEzINo0/xsTPJ5p0fSYiIiLtSsgGbv8rcOgPwJEtQP+Yv2Wl5gBzbgQuuQ1ISP3kd5nwk/M3ESIiIqJQ4PsQIiIiiiS+FyEiIqJI4fuQ6GWxhP8GgTpBELRz22jShB/96Ef49re/Lbl8wYIFeOutt0I+jgULFqC+vl5y+Y9+9CN861vfCvk41HrkkUfw6KOPAgDOPfdc3HzzzVi+fDkWLVoEo1F548K7776LH/3oR3jhhRcwMjIia5sXXngBt912m+JjjZWSkoLBwUHJ5a+99hquvfbaKR0jkNdeew2f//znJZenpKSE5MVu7PdQrfXr16OgoCBIIyKiWLTge99D7oEDkx4fSk/H65s2QUhg/puIiIiIiIiIiIiIiIiIiIiIiIiIKJZ9+ctfDvsx9YFXoXgzPOz/Tt0JYZrYHOg4gcYZaXq9Htdddx3+9Kc/4cMPP0R1dTWWLFmiKkwEABdffDFqa2vx/vvvo6SkRNY2d999Nz7++GNVx/PSwvkQ7ecCEZGUpJ4eTHvnHZ/LPi4tZZiIiIiIiIiIiIiIiIiIiIiIiIiIiIhCgoEimsTj8fhdbjAYwjKOQMdxu91hGYdaDz30EP7617/iS1/6UlCfs6KiIuzatQtVVVUB13U4HFi9evWUjqeF8yHazwUiIinn7NoFncR19qPPfS68gyEiIiIiIiIiIiIiIiIiIiIiIiIiorjB297TJIHaYEZGRsIyjkDHUdv0Ey6hbO5JTEzEunXrkJmZiUcffdTvun/4wx/w0EMP4dJLL1V1rISEBLhcLsnl4TgfInUu3Hvvvbj11lsVbfPBBx/ghhtuGP28pKQEF1xwQZBHRtGov78fDQ0No5+XlJQgNTV13Drfe+ZlfHfg8XAPjSIo9bUPfT7uzk7EZ1ybgPd0YR5RmOkTAY/8lrl3827EY11X4XTf2W2y0xJx/cXTccPcc5CaOOG191+bgH89LXv/noQU6EcGzj6QmgPMuRG45DYgMVV6w3ASPEBPMzDUBySlAZk2QBfD9wgY7gMO/h44+jLQ33n28dQc4MIbgEtvAxLTIjU6TWs7M4jvvPQuTvY6JdeZnm7CYzddjPyM5ID7e25vC377Vovs499xeSFuX1Aoe/1o4hEE3P7renT1yb9+Zacl4rlvzodeN/m63j88gnufO+D3ewUAF+o+xM8Tf6l4vB+W/gwjWcU40Xh49LF5n/0suod06BsaQVpSAs61pvgcm5YE+5wmIo3iaz9RTJLzNxEiopCJt7+lENE4fB9CREREkcT3IkRERBQpfB9CSjBQRJMkJib6XR6uQJG/EAsQeJzx4JFHHsHRo0fxxz/+0e96P/nJT1BbW6vqGImJiREPFEXqXJg2bRqmTZs2pX2kpaXBYrEEaUQUS1JTUyedG58xtcHS/XGERkRh1+kG2nxPijZcrINlqC3MA9K+hW3P4k8PPIqmrkH0DrqQnmxEUU4aDHqJSfAL7wIOPyNOGgkk0wbc8wbg6ACcZwBTBpBdDOjD08wYkLMX2LsB2F8DOE6efdw8HbisAlhQCZjSIze+UOhuAn53o+/vn/NjYNc74ve3fAtgLQrz4LTN7nThnhf2o7V7CIB0SKR9cAj3vHAUW6tKYTb5D2h/fdH5eOGd02jtHvC7HgAUWFPw9UXnB9xntGrscOBIpwv+ntuJ2gdd6HTqUZxrnrTMAuDn5ZejfFOD3+d3doYFFqfy9wmXzrbBbsrBicazj5nT0nBOfvS8Rw3FOU1EGsTXfqK44etvIkREQRePf0shooD4PoSIiIgiie9FiIiIKFL4PoT84S24aJJAbS/Dw/LvxD0VDBTJs2HDBmRlZfldZ/Pmzejv71e1fy2cDzwXKF5MM5siPQQKp0N+rm0XcxK0T8MOGE6/j+JcM+bZrCjONUuHiQBxUkj5FjEs5E+mTVwvOROYdj5QsED8GOQwkdsjoLHDgX3N3WjscMDtEeRt2N0EbFwE7Fg7fgIMIH6+Y624vLspqOONKGcvUCsxoXisnmZxPac9HKOKGjW7m2UFfwCgtXsANXuaA65nMRlRu6IEBdYUv+sVWFNQu6IkpsMc9kH/702l9PrZrjArFa9WlWL10tnIs4x/P5BnMWH10tl4suo2ceKbEuZ8MRwpg+prVBiE4pwmIo3haz8REREFUzz+LYWIiIiIiIiIiIiISAU2FNEkaWlpfpf39fWFZRwOh8Pv8kDjjBdWqxUPPfQQ1qxZI7nO4OAg/vKXv+DWW29VvP+0tDScOXNGcnk4zgeeCxQv3hdmYGmkB0HhIQjAuxITywsMQGZwMt92IRkW3WBQ9qUZHYeBvDny17cWASt3AvUbgX01gGNM85M5H5hXAcyvBEyhuwOD3elCze5m1DW0oMM+NPp4riUJZSWFqCi1wSIVvlA6uXblrpB+LWGzd4O8ZilAXK9+A3DVA6EcUdRwewTUNbQo2qauvhX3LZ7lP6CHs6GXZ/Y0o66+Fe32sy1reRYTyuYXoGKhTRNhIrdHwPHOPtgHXbAkGzHTX5uZQpZkdV9feoDtLCYjqpYU477Fs9DU2ee7ie2yCnHim1zzKgKGI6d0jQqDUJ7TRKQhfO0nIiKiYInXv6UQEREREREREREREanAQBFNYrVa/S6328NzF9hAxwk0znhyzz334Lvf/a7fFqK///3vqgJFVqsVJ06ckFwejvOB5wLFC3vvmUgPgcKlxQ30SjQ/XBK8Sdtrhlfif43PoUB/Omj7jEqmdHHC6ZVrgNPHAOcZwJQhtnYEuYVoopaufpRvavDZrNFhH0L1tkZsPnACtStKUJiVOnkH8Ti51uMG9tco22Zfjfj9DfH3U2t8hWaOd/aNC4XI0W53oqmzD8W55oDrygq9RFA4wjEzc9KQa0lS9DznWUwoypEXgjfoddLfiwWVwME6edeFTJsYmPRjyteoMAj1OU1EGsDXfiIiIgqmePxbChERERERERERERGRSsG5/T3FlKysLL/L/bXVBFNvb6/f5YHGGU/S0tLw+c9/3u86b731lqp9a+F8CHQMngsUK77QtyXSQ6BwOSTRTmQAcGHwAkUfIh9fdz2Mjz0xFLzMu0j9tnoDMO18oGCB+DHEE1DtTpfkRP2xWrsHUL6pAQ7nhPNC7eRaj1vhSDXmdCPgOKlsG0ebGBaLE3anC+u2HcMVj2/HsuqduGXDW1hWvRNXPL4dm3Y1qdpn76DEdUmCN/Qyz2ZFca5ZE2Gilq5+LF+/G9XbGicFULzhmOXrd6OlSzqEL4dBr0NZSaGibcrmFwTnOTKlA+VbxLCQP5k2cT0/d9me8jUqTOwKz00vpec0EUUQX/uJiIgoWOL1bylERERERERERERERCoxUESTZGdn+10+NDQU8hBJd3c3hoeH/a7DEMl4ixcv9rv8/fffV7XfQOdDe3u7qv0qEegYPBcoJnjcOM95MNKjoHBwCcBRiUnOsxOA5OBMyncIyWgS8tEq5OK64R/hCdeX4RCSJ69oTAXOux4wT/e/w0wbkJoTlLGplmQGcs6P7BgUqNndHHCivldr9wBq9jSPfzBCk2vdHgGNHQ7sa+5GY4cDbo9Em1aoOP2HyqW3OxPUYWhVoNDM7/dJN0v6k54cvDBjJIQ7HFNRakOBNUXWugYd4HS5YQ9WIMdaBKzcCSx+GDDnj19mzhcfX7lLXM+PKV+jwsSi8tyM9nOaKK7wtZ+IiIiChUFlIiIiIiIiIiIiIiJFEiI9ANKegoKCgOt0dHQgIyMjZGPo6OgIuI6cccaTuXPn+l0+ODiIjo4O5ObmKtpvoOdZzvdqqgIdo7BQ2R3iiTTpdCOS3Y5Ij4LCoXEEGJJYdkloJj/3w4Q/exZi5/ClyNA5kIUzWDG9BcWDh4CB08D7WwEAbmMqAB0Mrr6zG5vzgXkVwPxKYO8vgR1rQzJGWUruCXmrULC4PQLqGloUbVNX34r7Fs8622IS5sm1dqcLNbubUdfQMi6okmtJQllJISpKbbCYwjBB35SucruMoA5Di+SGZpTKs5hQlJMW1H2Gm5pwTNWSYtXHs5iMqF1RIuv74RaAp3Ycx6uHTqJ2RQkKs1JVH3eUKR246gHgyjXixDfnGfFnILtY1nXSIwThGhUmM3PSkGtJmhSg8ycWzmmiuMLXfiIiIgoWBpWJiIiIiIiIiIiIiBRhoIgmSUtLQ1ZWFrq6uiTXaWlpwXnnnReyMTQ3N/tdPm3aNKSmBmEiXgyx2WwB1zl16pTiQFGg/ba0KJuIqEag8+FTn/pUyMdAFHJq/7Gbos8hiYYKE4BZwXtrZtYN4mLdcVylfxdlCduRp+sZXeaGHoYuz6RtDK5+AECbx4pfGO/EBZcuwJevuQqWFJO4woJK4GAd0NM8tcGZMpRP1LCcAyz876kdN4yOd/YpmvwOAO12J5o6+1CcaxYfCOPk2paufslgRId9CNXbGrH5wInghSH8yZ4tNmYpuaOwOV8MUsQ4JaEZJcrmF4Q9JBJMQQnwqVCYlYpXq0qx8R/HsWFHE9yC/zYvbzvS1qpSpCQm4HhnH+yDLliSjZiZk6ZuLHoDME15c9tH3QNTv0aFiUGvQ1lJIaq3NcreJtrPaaK4w9d+IiIiChYGlYmIiIiIiIiIiIiIFNFHegCkTYECGseOHQvp8T/44AO/yxkgmSw9PfA/lA0MKJ+AGulzAeD5QHFC7T92U3Tp9wAfjPheNscIJAR38vOmxJ9itfHFcWEiADBgcphorHx9N1a6nsMP/2nH8l+8hZYuMWgEUzpQvgXItPk/cEYBsOBecaLnWOZ8YPHDQOWewPuYyD0sNiQFM3zncQOn3gNa94ofPW7/Q/AIaOxwYF9zNxo7HHB7pMMD9kGJ4FgAvWO3806uVULF5Fq5rTfeMITDqe5rk01vAC6rULbNvIqoaa9SS01oRo4CawoqFtqCvt9wmkqAb6osJiMSDYaAYSKv1u4B3PPb/bji8e1YVr0Tt2x4C8uqd+KKx7dj3bZjsIf65+sTfUMSr0UB9Kq8tk1VRakNBdYUWevGwjlNFHf42k9ERETBEqa/pRARERERERERERERxQo2FJFPc+bMwb59+ySXv//++yE9fqD9z5kzJ6THj0aJiYkB13G5lE8ADPRcnz59Gt3d3bBarYr3LYd3//7wfKCYkGGDAID30o9xR0YgmeW51Bj0w2Xr7Kq3LdSfQoXhNTzRfdNoo4bZZASsRcDKnUD9RmBfDeBoO7uROV+c3Dm/EjBZgGU/AE4fE9uITBni5AzvxM/yLUDtjfLbjvo7gR1rxYak8i3iONRy9gJ7NwD7a8bfCd88XZzMuqByXMjP7nShZncz6hpaxoUWci1JKCspREWpDRbT+O+fJVnd9zN97HbeybU71srfgYrJtUpab1q7B1CzpxlVS0I70cb+6W/C8Y9NOEfoCLjux7pcWD79TYS3MyX81IRmAimwpqB2RYn4sx3FphLgc3uEKTUFyQl66eHBTF0bLOiHHamob/LAM+HeHuFuAktLUvenALXbTZXFZETtipKA4cdYOaeJ4pKSJsxMm/h+k4iIiGiiMP0thYiIiIiIiIiIiIgoVrChiHyaO3eu3+Vvv/12SI9/4MABv8s/85nPhPT40WhwcDDgOsnJyYr3a7PZkJmZ6XedUJ4Pgc6FrKwsnHvuuSE7PlHYNL3JMFE8OCQx6T1TB8zQ3sSFsoQ3oYdnNEQyypQOXPUAsOowcG89cNfr4sdVh8XHTRZxPb0BmHY+ULBA/Dh2coY3mLT44clNRv70NItBJKfKsFR3E7BxkTixZGyYCBA/37FWXN7dBABo6erH8vW7Ub2tcVKYwxsAWL5+99kWp0/MzElDriVJ0dDyLCYU5aSNf3BBpfw2JxWTa9W03tTVt/ptZwqGmn3d+JrzQbR4pvldr8UzDV9zPoiafV0hHY8WqA3N3PbZc5FnMY17LM9iwuqls7G1qjTkwZVwUBvg+/PBtik3BfkLepkxgCrDS/hn0v14I+kBbE56FG8kPYB/Jt2PKsNLMGNyMCZcTWDnWlMUX6MA4Bu/qQ9rk9JYhVmpeLWqFKuXzo75c5ooLsltwsy0iet5328SERERTRTiv6UQUWxR0kpPREREREREREQUi9hQRD4FChS98847cLvdMBiCP/l5ZGQEBw8e9LsOA0WTtbe3B1wnLS0t4Dq+zJ07F9u3b5dcvn//fixZskTVvgPZv3+/3+U8Fyhm9H4c6RFQqHW5gY/dvpddnAjotBcpm67rRpGuDR8IM1BX34r7Fs8a39zhDQyp5Q0mXbkG+Ou3gX89LW+7nmagfoO4rRLOXnmtSJ+Elux3/h3lmw4GbO/xBgBGW5wAGPQ6lJUUonpbo+zhlc0vmNyM4p1cG2jcKifXqmm9abc70dTZh+Lc0HQCeUNOHUIulg+vxZ2G11CW8Cam6842Fp4UrKgbuRo17uvQhxTf52eMURua+Wbpp7D2xovR1NmH3kEX0pONKFLYwqN13gCfknPZoNPht29NDtN5g4Iv/KsVD3/hAszOM/ttLZIKehXoOlBrfAyF+lOTluXperDa+CJuNuxEues7aBVyxy0PRxOYXqf8GgUApxzDYW1SmshiMqJqSTHuWzwrps9porilpAmTiIiISEqI/5ZCRLFBTSs9ERERERERERFRLGJDEfk0b948mEwmyeV9fX0Bgx5qNTQ0YGBAeuKuyWTCZZddFpJjR7MPPvgg4DrnnHOOqn2Xlpb6Xb5jxw5V+5Xj73//u9/lgcZGFD1417uYJ9VOBADz/bewRFI6xOYdb4hklMcNnHoPaN0rfvRIhKXk+verytbfV6P8mHs3BA4TefU048jmHwYME3lNanECUFFqQ4E1Rdb2Bdb/n71/D4/rLMy9/3tmLGt0mJEtHyQrQRKy5RxMTEuCbGLFwTE5FNJCDrsUgQFhwCYpKkl+TTm0G2jfHcju2+2SFGpDjQKioqUxge6khBcnGMcGS7FN7SSEKFhIiuOTbMkancaWZub3x8rYkjWHtdacNd/PdXGJzDrMY2lmzWj03M9drOY1tZE3xmpz8lQZt296ztjPIrutN0M2jzNjashpWMV6NHCn1px7RO86979117kv6l3n/rfWnHtEjwbu1IiM7++Mx+cslEjrlcvpUH2FR9fVlqu+wjPrghfhAJ8VgVDs193jQ379+fd/Pa21aHDs/IwVayMFvTwaixommqrGeUptBV9RaYSmonQ0gVm5Rl0qXU1K0eTSY5qVjgGLzDZhAgAAxJLCz1IA5D67rfQAAAAAAADAbERDESJyu91as2ZNzFaan/3sZ2poaEj6fe/cuTPm9htuuCFm2ClfdXR0xNy+cOFC2w1F73rXu/TlL3856vbdu3fr/Pnzmjt3rq3zR+P3+7Vnz56Y+9x8881JvU8gYxZdlekRIIX8869Q4Qu/VsTpzn/4Fqm4L91DMm1IF9snhsYnjJaffVulA63S8PGLO3qWSNc2S6s3GxNBrTjdNf1cZgwfk06/ar4hKRgw34D0hqV9P5BTjQqazOBf2pLjdReobWODNmzvjBlMqi4vVtvGhgvtRhFNbXM6/arkPyu550kL642mKJvstt6U2TzOjEghp6Cc+l3o8pjHpTLklA2S1no1SzU31mrHwaOmQ4BWhCeSPPLMq9OCSBXeQn3g7dVa5Jmr/uHzF8fiejpumCisxnlKza6n9Wjgzmm3p7oJTDJ/jYomHU1KuYyVjoEEJdqECQAAkKLPUgDkttHzk9rw7QO2WukBAAAAAACA2YiGIkQVL6jxwx/+MCX3+/jjj8fcfsstt6TkfnPdU089FXP7ypUrbZ979erV8niiT2YcHR3VT3/6U9vnj+a//uu/ND4+HnV7WVlZSkJtQEaULsr0CJBC7ldPyjE4GXnjrW+3d1KXtaYSO46HytUduriK68Lzr0vb1kq7HpoZABo+bty+ba000G3tjvxD9gboP2t+39cPSKP9lk6/WAOqcxwzvX+klpyaBSV6sqVR99+8XJXe6YHoSq9b99+8XE+1NKpmQYlMCU+urV5tfE1wAkwirTepko0hp2yRtNarWSgcjon3/XE57AesLm01Ouk7p3985lWdn7x4u1NBNc2JvihDJE1znpVTwRm3pyMkF+saZUY6mpRyESsdAwAAAFkkyZ+lAMhtTxx8PaFWegAAAAAAAGC2IVCEqO6+++6Y2w8ePKhXXnklqff54osv6oUXXoi63eFwxB1XPnr55Zf1/PPPx9zn+uuvt33+OXPm6H3ve1/Mfdrb222f3+4577jjDs2ZQ9EaZomFyzUp/pg9a+2L0r7jlBT4D3vnLPRIm38pfeyn0h3ftD20WNonb7rQzrPUE1DNTz4kDfbEPmiwR2q7Q/L7zN+R1UajC8fNM7/vwe/auosyWZvsHSkA4HUXqGV9vfZ+9ib97L61enzzO/Sz+9Zq72dvUsv6+oyucBluvbHCbutNIBhS18lh7e8ZUNfJ4aghhGwMOWULs6EZU61Xs1C8AN+H31EzIxSUDEPjE5rzxnNiqeOYKh2Dlo5f4ogcXkxXSC58jWptth5wjRSkzHc+/4Sp1qfwSsfD/tndrgakVTAgnXpZ6ttnfA0GMj0iAAAAAFnmqReifFYfBYupAAAAAAAAYLZjJj6iWrp0qVavXq19+/ZF3efRRx/VP/3TPyXtPh955JGY26+//nrV1tYm7f5mi69+9atx97n11lsTuo8PfvCDamtri7p9x44dOnbsmKqqqqLuY0VfX59+/OMfxx0TMGsEA3JFaCfALDAZkl6KMll42Ryp2Ga+e+y0saJq9Wr7gZwYeoOL1Rq47cJ//68le+To6zF38GCP1LFVuvFBc/svXC55lsxsPYrFUyUtrDe3bzAgvfIT8+eeYkgmm4PeECsA4HI6VF8RvfEvU5oba7Xj4FFTK3Paab3x+SfUuqdH7Z2905o6KryFamqoUXNjrbxTgi/hkNOWnV2m78NuyCkXhUMzj+3tUXtHn074/Be2VXrdalpVreY1tXkXJgoLh2PuXbdM3f0jGhqfUFlRgeoWlerXfYP67q96U3K/k8GQyooK5PXba5y5NLyYiZDc6LkoTXpxpKNJKZe07umxvNJxy3qTr2cAIvMPSfu2Sgdap7+f9CyRrm2WVm9OyftlAAAAALnnzMh5SeY/RwwvppKNn+sCAAAAAAAAyUBDEWL62Mc+FnN7a2urjh+3tpJTNEePHo0ZWJGkj370o0m5r9nkl7/8Zdzv22WXXaY1a9YkdD/vete79KY3vSnq9omJCf393/99Qvcx1d///d9rcjL6pMbq6mqtW7cuafcHZNzvfiaHWOVuVnp1UvJH2bYywQn/v/onYwJlOJCTJL3Bxdow8TmNyGhBqZ1fqIaB2CHPGfa3ml8V3ukyJntace1HjOPMON1lBLAsOqMydYfMB2VztSUnla03vWdGdfsje7RlZ9e0MJEknfSd05adXbr9kT3qPTM9TNHcWBt3PFPHZTXk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width=\"568\" height=\"320\"/></td></tr></table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<hr class=\"thin-line\"/>\n",
       "<hr class=\"bold-line\"/>\n",
       "<div class=\"div-metric\">\n",
       "    <h2>Metric Score</h2>\n",
       "    <div>\n",
       "        <h3>Raw</h3>\n",
       "        <div class=\"div-kbet\">\n",
       "            <h4 class=\"kbet\" align=\"left\">&#183; K Nearest Neighbor Batch Effects Test</h4><table style=\"align: center;border: 2px solid #ddd;text-align: center;border-collapse: collapse;width: 75%;margin: auto\"><tr><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\"></th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Chi Mean</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">95% P Value</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Accept Rate</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Reject Rate</th></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Score</td><td style=\"align: center;border: 2px solid #ddd;\">100.0000</td><td style=\"align: center;border: 2px solid #ddd;\">0.0000</td><td style=\"align: center;border: 2px solid #ddd;\">0.0000</td><td style=\"align: center;border: 2px solid #ddd;\">1.0000</td></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;background-color: #F0F0F0\">Describe Note</td><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;white-space:pre-line;word-wrap:break-word;word-break: break-all;background-color: #F0F0F0\" colspan=\"4\">Local area Chi2 test. Local sample richness test. By default, UMAP coordinates are used to calculate region neighbors. default neighbors: 100</td></tr></table>\n",
       "        </div>\n",
       "        <div class=\"div-lisi\">\n",
       "            <h4 class=\"lisi\" align=\"left\">&#183; Local Inverse Simpson's Index</h4><table style=\"align: center;border: 2px solid #ddd;text-align: center;border-collapse: collapse;width: 75%;margin: auto\"><tr><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\"></th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Lisi Mean</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">95%Ci Lower</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">95%Ci Upper</th></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Batch</td><td style=\"align: center;border: 2px solid #ddd;\">1.0000</td><td style=\"align: center;border: 2px solid #ddd;\">1.0000</td><td style=\"align: center;border: 2px solid #ddd;\">1.0000</td></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Leiden</td><td style=\"align: center;border: 2px solid #ddd;\">1.4006</td><td style=\"align: center;border: 2px solid #ddd;\">1.3827</td><td style=\"align: center;border: 2px solid #ddd;\">1.4185</td></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;background-color: #F0F0F0\">Describe Note</td><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;white-space:pre-line;word-wrap:break-word;word-break: break-all;background-color: #F0F0F0\" colspan=\"3\">By default, UMAP coordinates are used to calculate region neighbors, default n_neighbor: 100. For batch, a larger value indicates that data of different batches in a local area is mixed more evenly.</td></tr></table>\n",
       "        </div>\n",
       "        <div class=\"div-ksim\">\n",
       "            <h4 class=\"ksim\" align=\"left\">&#183; K Nearest Neighbor Similarity</h4><table style=\"align: center;border: 2px solid #ddd;text-align: center;border-collapse: collapse;width: 75%;margin: auto\"><tr><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\"></th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Ksim Mean</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Accept Rate</th></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Leiden</td><td style=\"align: center;border: 2px solid #ddd;\">0.0100</td><td style=\"align: center;border: 2px solid #ddd;\">0.0000</td></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;background-color: #F0F0F0\">Describe Note</td><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;white-space:pre-line;word-wrap:break-word;word-break: break-all;background-color: #F0F0F0\" colspan=\"2\">The kSIM acceptance rate requires ground truth cell type information and measures whether the neighbors of a cell have the same cell type as it does. If a method overcorrects the batch effects, it will have a low kSIM acceptance rate.</td></tr></table>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "<hr class=\"thin-line\"/>\n",
       "<hr class=\"bold-line\"/>\n",
       "<div class=\"div-visualization\">\n",
       "    <h2>Visualization</h2>\n",
       "    <div>\n",
       "        <h4 class=\"sample\">&#183; Sample</h4><table style=\"align: center;border: 0px;text-align: center;border-collapse: collapse;table-layout:automatic;width: 100%;margin: auto\"><tr><td style=\"align: center;text-align: center;padding: 15px;\">Heatmap</td><td style=\"align: center;text-align: center;padding: 15px;\">Joint</td><td style=\"align: center;text-align: center;padding: 15px;\">Umap-Batch</td></tr><tr><td style=\"align: center;text-align: center;padding: 15px;\"><img 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NzyL7GPKlCn65z//afP40qVLq3Xr1qpevboKFCggHx8fxcTEKDIyUlu3blVkZKRNeT799FPly5dPEyZMyGjpNtuxY4cGDx5s9X3f399fLVq0UPXq1VW0aFEVKVJEDx480I0bN3T8+HFFREQoPj7edJ6NGzfq888/10svveTkZwBP69mzp4KDg3X37t2/xVavXq0bN26oaNGiGcp98OBBq3far1Klipo3b56hvK6yceNGnTt3zmq8atWqatq0qWGOgQMH6vXXX7f6N7lkyRLFxMQof/78jpSaKdlyLlSkSBE3VJK5HDx4UHfu3DEc0759ezdV416hoaF2LVR/6KGH1LRpU1WqVEnBwcFKTk7WrVu3dOLECW3cuNGmhccpKSnq37+/VqxYoY4dOzpSvtvkhPOVr776yrDhLCgoSM2aNVONGjVUpkwZ5cmTR4mJibpz545OnDih7du36+LFiy6v05m++OILhYeHW40HBwerbdu2qlWrlooWLSp/f3/du3dPp0+f1q5du2zeqeajjz5SlSpVNGLECLtrrF+/vho1aqQ9e/akG1+xYoWuXbum4sWL253bFkeOHDHcobpNmzZc/6Tj6aef1vHjx63Gy5QpozZt2qhatWoqUKCApF93c/nll1+0adMmm/6W0tLSNGDAAG3ZskX169d3Wu1GChQooNq1a6tKlSrKnz//79+/eHt7//79y5kzZ7R3716dP3/eppwnT55U//79tXr1ahdX7xmffvqp3U2jFSpUUKNGjVSxYkUVKVJEgYGBio+P1507d3Tnzh2dPn1ae/fu1a1bt1xUdfpu376tTp06GTau16lTR40aNVLRokV/vz65ceOGoqKi9NNPP9lU840bNzRy5EgtWbLEWaUDAAAAAAAb0GgEAAAAADlQWFiYYaPRjRs3tGrVKnXr1s3pc//888+6cuWK4ZiwsDCnz+uId955x/Qu1U899ZTefPNNVatWzeqYoKAgBQUFSZJq1Kjxp8WJt27d0ooVK7Rs2TKtWbPGpgXk+FXZsmXVrVs3derUSfXq1bPrzvJnz57VzJkzNWvWLF26dMlw7DfffKPevXvr4YcfdrTkLOf999/XvXv3XD5PYmKixo4dq9jYWJfO4+fnpzZt2qhHjx5q0aKFatSoIX9/f5sem5SUpJUrV2r69OlavXq1YYPgvXv39Mwzz2jTpk3y8vKyub5q1app6tSpf/v3yZMn69SpU+k+pmrVqg7dGd3ovcuddu7cqRdeeMGmsT179tSYMWNMmx6OHDmijz/+WN9++61pQ+c777yjBg0auOTz7zd37txRv3790v1cadCggcaOHauOHTsqb968VnPEx8dr7ty5euONN0wXcE+YMEGDBw9WwYIFHa4dmUdAQID69OmT7ntFSkqKwsPDM7zrhdHuPUOGDMlQTlcy223IbDcjSSpZsqQ6dOign3/+Od14QkKC5s+fb7qLRFa0bds2w7i/v3+23LXHzL59+0zHtG3b1vWFuNnHH3+sefPmmY7LlSuXnnvuOT333HOqWLGi1XEWi0Vr167VpEmTtGnTJsOcycnJGjBggPbt26dy5crZXbs75YTzlbNnz+r7779PN9aiRQuNHj1aXbp0MT2H3rlzp5YtW+aKEp3u/PnzVr8nqV27tt544w316tXL8IYsZ8+e1WeffaavvvrK9DuEl156SS1atFCtWrXsrnXkyJFWG41SUlI0Y8YMjR071u68tmA3I/t9//33VncG69atm/71r3+Zvkds27ZNkyZN0ooVKwzHPXjwQP3799eBAwcUGBiY4ZqtKVq0qLp27aquXbuqfv36dr1fX716VXPmzNH06dOtXtf+Zs2aNZo2bZqeeeYZu+obOnSoWrZs+ad/i46O1muvvWb1MWFhYRlupP/tOz5b/fjjj3rllVdsGlu6dGk9++yz6t+/v8qXL2/TY6KiorRx40Z99913Wrdunct2z/1NaGhourt0lSxZUq+//rqeeOIJw/PItLQ0rV+/XmPGjNHhw4cN51q6dKkiIiLUrl07h+sGAAAAAAA2sgAAAAAAcqTGjRtbJFn96dmzp0vm7dOnj+G89evXdyi/Ue7x48fbnS8mJsaSO3duqzl9fX0tc+fOdajmv7p586bl7bffthQvXtyyfPnyDOVw9utgq4iICMO5IyIiHMrfpEkTiyRLcHCwZcyYMZa9e/c6pe6EhATL2LFjLX5+fob1h4SEWFJTUx2e79y5c4bzzJw506H85cqVs5p7yJAhDtfvCmlpaZb+/fsbvi6SLBMmTLAr7+rVq39/bPPmzS1z58613Llzxyk1796921K7dm3TmufPn++U+dq0aWN1jjZt2jhlDjOuPLYePHhgqVixounrWaxYMcvatWvtzr97926b8hcsWNBy48YNh56L0etkbc558+ZZ0tLS7JonJibG0rp1a9P8//nPfxx6Pu5kdJy7+jPMyPjx4w3rcvRv0OyYOXfu3N8es23bNqvj69Spk6E6kpKSLIULF043p7e3t+XChQt/e4zZZ78r35/u3r1rCQwMtDq3l5eXJSoqyqZcc+bMMXwejRo1ctnzsFiMz90kx8+h0nP9+nXTeTN6LGV1I0eONH1tYmNjPV2mUx09etT0XPi3v4XTp0/bnX/27NmWPHnymOZv3bq13Z+Hf8X5im3sPV/Jnz+/Zd68eQ7N6WlGz8/Lyyvdz76JEydaUlJS7Jrn2LFjlho1api+pvXq1cvQ9WVcXJwlf/78VvNWrFjR4b+j9Dx48MBw3kKFClkSEhJM85id75UrV87ptbuS2blQesdWgQIFLEuXLrV7rsWLFxv+Dn77GTVqlMPPq2/fvhZJlty5c1uGDx9u2bx5s1O+D0lNTbV88sknpp8JhQoVsty7d8/h+Vz9/YutTp8+bdPnYGBgoGXy5MmWxMREh+a7deuW5fPPP7eULVvWIsny4osv2p1jyJAhdn1OeHt7W8aPH2+Ji4uza56UlBTLyy+/bJq/Y8eOdj8HAAAAAACQcd4CAAAAAORIZrsGrVy5UtHR0U6dMyYmRkuXLjUcM3ToUKfO6aiIiAglJCRYjU+YMEFPPfWUU+csXLiw3nzzTZ0/f/5vd2LN6cqWLasPP/xQFy9e1OTJk9WgQQOn5M2VK5feffddbdiwwXAXkRMnTli9szcc88Ybb2j+/PmGY37bOcwePj4+6tWrl3bs2KFt27bpqaeeUv78+R2o9P80atRIe/fu1ZNPPmk47p133pHFYnHKnNnZxIkTdfbsWcMxlStX1u7du9WxY0e78zdq1Eh79uwxfd+4ffu2xowZY3f+jCpXrpy2bdum/v3727XzlSQFBwdr1apVatq0qeG4b775xpESkUk1b95cVatWTTd26NAhHThwwO6cK1as0K1bt9KNtW/fXmXKlLE7pyt99913evDggdV469atbb7Tfq9evQzvSr9nzx4dO3bM7hozs6+//tp0TJMmTdxQSeZz5MgRw3jp0qXt3sUgM7NYLBo5cqTpDizdunXTli1bVKlSJbvnGDx4sDZv3my6w97mzZs1a9Ysu/O7S049XylTpox27Nih/v37u21Od/vr+bqvr6++++47vfHGG/Lx8bErV40aNbRz507TXVIOHDig6dOn211rYGCgBg8ebDV+9uxZrVu3zu68ZhYtWqSYmBir8cGDBytXrlxOnzer++uxVbx4cW3fvj1Du5L16NFD27ZtU7FixQzHffnllzpx4oTd+f+oSJEi+ve//60LFy7om2++UatWreTt7fjyEm9vb7300kvau3evihcvbnVcdHS0vvzyS4fnywzS0tI0ZMgQxcXFGY6rUqWK9u7dqzFjxti867I1hQoV0gsvvKDTp09rxowZqly5skP5zOTOnVvff/+93nrrLbt30/Lx8dHHH39sulvgTz/9ZPoZDAAAAAAAnIdGIwAAAADIofr376+AgACr8aSkJIWHhzt1zvnz5ysxMdFqPFeuXBowYIBT53TU7t27rcYKFCig0aNHu2xuf39/pzVEZBcLFy7U6NGjXbaws2XLllq5cqX8/PysjmHBvvNNnTpV7733nuGYtm3basaMGXY3YjzyyCP64YcfTBsxMsrPz0/z5s1Tly5drI45fvy4tm7d6pL5s4vr16/rk08+MRxTtGhRrVu3TmXLls3wPAULFtTatWtNF0jPmTNHR48ezfA8tipWrJi2b9+u6tWrZzhHnjx5NGPGDMP3rfPnzxt+niHrGjJkiNXY7Nmz7c5ntLg/NDTU7nyuNmPGDMP4oEGDbM4VGBioJ554wqH5spJ79+7ps88+Mx2XkUaJ7ODChQuGcUfetzOj5cuXm56rtGrVSosWLXKoiaB+/fpatWqVaY5///vfSkpKyvA8rpJTz1fy5s2rtWvXZrvj3sz//vc/9e7dO8OPDwoK0sqVK00X948fP97wexJrRo4caRifOnWq3TnNmOUcPny40+fMbgICArR69WqH/p5q1KihFStWKHfu3FbHpKSkaNy4cRmeQ5K++OILTZgwQUWKFHEojzXVq1fXhg0bDL/3mjJlikvmdrc5c+Zo27ZthmNCQkK0detWhYSEOHVuPz8/hYWF6fnnn3dq3j/y9vbWsmXL1LNnT4fyTJ482fSzj5v/AAAAAADgPjQaAQAAAEAOFRwcbPofgJ19J2mzfN27d1eBAgWcOqejjO6U2bFjR+7Wmw21bt1ao0aNshqPiIjQpUuX3FhR9rZmzRo9++yzhmNCQkK0ePFih+/o6yq+vr6aOnWqYQPcnDlz3FhR1vPRRx8pPj7ecMz06dNt3pnESKFChbRgwQLDu3FbLBb95z//cXguI15eXpo9e7ZKlizpcK6QkBDTxaZr1651eB5kPoMHD7Z6LM+bN890d5I/unHjhlatWpVuLF++fOrVq1eGanSVkydPaufOnVbjAQEBpjvO/ZXR7hCSNHfuXKWkpNiVM7MaOnSobt++bTgmT5486tSpk5sqyjzS0tJ09epVwzHOeO/OTCZOnGgYDwoK0oIFC5xyLtakSRPTz9hLly5lyl2NcuL5iiT95z//cfrC98yuR48eTmmayZ8/v+bNm2d4s4SrV69q3rx5ducOCQlRmzZtrMaXLl2qmzdv2p3XmhMnThg2JLZq1SrHNaNlxHvvvae6des6nKdhw4am791LlizRmTNnHJ7LlUJCQvTOO+9YjZ85c0bbt293Y0XOl5SUpPHjxxuOyZs3r1asWKGiRYu6qSrneu211/TII484nCdXrlz64IMPDMdwXQsAAAAAgPvQaAQAAAAAOVhYWJhh/MCBAzpy5IhT5jpx4oTpbgpm9XjCnTt3rMYcuUs1Mrfx48crX7586cYsFot++uknN1eUPR08eFB9+vQxXLRdrFgxrVq1KtPv7lWiRAmNGTPGanzNmjVurCZrSUpKMt0lpGvXruratavT5mzYsKGefvppwzHff/+9bt265bQ5/2r48OF69NFHnZZv6NChhnF21cqeSpcurQ4dOqQbu3nzplauXGlzLqMmmj59+hjuhOkJM2fONIx3797d6me5NW3btjU8v7tx44Zdr2lmZLFYNHbsWJvuBh8WFqbAwEA3VJW5XL9+3bShrHjx4m6qxvX27dunPXv2GI4ZP368U5urRo0apRo1ahiO+eqrr5w2nzPk1POVpk2b6rnnnnNZ/szI399fH374odPyNWrUyLSR9X//+1+Gchs1miclJTm1YY/djBxXvXp1p/49vfDCC6pSpYrVeFpaWqZ7L03PP/7xD8Odv7L6tfTChQt1/vx5wzEff/yxKlas6KaKnKtWrVqaMGGC0/J169ZNhQsXthrftWtXtmn8BwAAAAAgs6PRCAAAAABysA4dOpjebdlsEaetzBa4lCpVSh07dnTKXO7Cf9jOvoKCgvTYY49ZjW/YsMGN1WRPly5dUpcuXXTv3j2rYwIDA7VixQqVL1/efYU5wGjnjIsXL+r06dNurCbrWLVqlaKjo63GfX199emnnzp93vfee0/BwcFW48nJyRm6u7wtvL299eqrrzo1Z926dQ3vIn/o0CGnzofMIzQ01Gps9uzZNucxGms0hyekpqaa7hRntqg7PV5eXho4cKDhGGedG3tCTEyMevbsqffee890bO7cuTV69Gg3VJX53L1713SM0QLYrMbsb6lq1aqGu31mhK+vrz7//HPDMQcPHtThw4edOq8jcuL5iiSNHTvWcFel7OiFF15QpUqVnJrzvffeM2zc3LdvnyIjI+3O26tXL8MdUMyag2yVmJiob7/91mq8YMGC6t27t1Pmys4mT54sX19fp+Xz9/fX5MmTDcd89913slgsTpvTFXx8fAx3zszq3798/fXXhvGHH35Yw4YNc1M1zjd69GinHte+vr6G7ydxcXF8twIAAAAAgJvkrG+GAQAAAAB/4uXlpSFDhhiOCQ8Pd7ihxpbFoEOGDMmUC5gKFSpkNXbw4EH3FQK369Spk9XYgQMH3FhJ9hMbG6vOnTvrypUrVsf4+PhowYIFatiwoRsrc0xISIhh8ybHTfoWL15sGH/sscecvthT+vX9vX///oZjzGrLqG7durnkOTVt2tRq7Pr164qJiXH6nPC8nj17Wl2EvnLlSpt2uti/f7/VBf1VqlRRixYtHKrR2VavXq2rV69ajRcvXjzDDexmDUorV67UjRs3MpTbUy5cuKDXX39d5cuX19KlS216zGuvvZZlGn2dLSEhwXRM7ty53VCJe5h91g0fPlx+fn5On7dDhw4KCQkxHOOqz+GMyInnK8WLFze8JsqujHYJyqgSJUqoW7duhmNs2Wnur/z9/Q13tYyMjNTGjRvtzvtXP/74o2Gj3aBBg+x6X9y4caMsFovVn6ioKIdrzmzKlCmjLl26OD3v448/rlKlSlmNX7p0STt37nT6vM5m9F5z6NChTN8sZc3Fixe1bds2wzH//Oc/3VSN8xUrVsz0MyojjK5rJenkyZNOnxMAAAAAAPxd5lvBBQAAAABwq9DQUHl5eVmN37hxQ6tWrXJojrVr1xouBv2tjsyoSJEiVmObNm3SkSNH3FgN3MmoYeTUqVNKSkpyYzXZR0pKinr37m36t/PZZ5/p8ccfd1NVzmN03Bw9etSNlWQd69atM4xnZFcSW5nl3rFjhx48eOD0eY3u2O2I2rVrG8YvXrzoknnhWQEBAerTp0+6seTkZIWHh5vmMNp50qwp3RPMdhXq37+/fHx8MpS7WrVqaty4sdV4SkqKaQO9K6xcuVLTpk0z/Zk6dao+/PBDjR07VoMHD1bFihVVrlw5TZo0yaadeiSpdevWeuONN1z8jDKv+Ph40zHZpdHo1KlTunDhgtW4j4+PnnrqKZfNP2jQIMO42TmCO+XE85UBAwY4dZeKrKBRo0aqXLmyS3IPGDDAMJ7RXVuGDx9ueNOWKVOmZCivPTmGDx/u8BzZXb9+/Qy/e8sob29v9e3b13BMVtgRyOg6+v79+1m2+WzFihWG8apVq+rhhx92UzXO16VLF+XKlcvpebmuBQAAAAAgc8hZ3w4DAAAAAP6mQoUKatu2rSIiIqyOmTVrlundd40YLV6VpJYtW6pKlSoZzu9KRgtN09LS1K9fP61fv17Fixd3Y1VwB6PfaUpKii5fvqwKFSq4saLsYfjw4fr5558Nx4wePVrPPfecmypyLqPjJqsujnKlM2fOGO5sFRQU5NKGs2bNmqlSpUo6c+ZMuvHExETt3r1bbdu2deq8rtodpnr16obxrLYLC2wXGhqqqVOnphubNWuWXnzxRauPTU5O1vz589ONeXt7u3TxfEbcunVLy5cvNxzjaM2DBw/W7t27rcZnzpyp0aNHOzSHvT788EO3zFOjRg0tWrQoxzUX/JEtu7lml9dny5YthvF27dq59Dpn4MCBGjt2rNX4rl27lJSUJH9/f5fVYIucer7SunVrp+bLCvr16+ey3I899pgKFCigO3fupBvfvn27UlJS7H5/qVChgh599FGtXr063fhvuxEZ7dZsxGxXpBYtWqhGjRoZyp2TuPLYGjBggD7++GOr8U2bNmX6BmKzz5qoqKgs+f2L2XcfzzzzjEsa0NyF61oAAAAAALK37PFfQgAAAAAADgkLCzNsNFq5cmWGF6bcuXNHy5YtM50/s2rfvr1h/Pjx46pXr57ef//9HHnH58wsLS1NFy9e1PXr13Xz5k3dv39fiYmJSk5OlsViMX18dHS0Yfzq1atZcqGLJ73zzjumu1D07t1bkydPdlNFfxcbG6sLFy7o1q1bio6OVmJiohITE5WammrT4y9dumQ1ZrazW0506NAhw3iDBg1cvmtEq1atrC7clX6t0ZkLd4sVK6aKFSs6Ld8fBQcHG8Zt3c0EWU/z5s1VtWpVnTp16m+xgwcP6vDhw1bvDL58+XLdunUr3Vj79u1VpkwZp9bqqLlz5yo5Odlq/KGHHlLdunUdmqNfv3565ZVXrO5eeOzYMe3Zs0eNGjVyaJ7MpkmTJlq2bJmKFi3q6VI8ypY78ycmJrqhEtcz+xxu2bKlS+cvU6aMypcvb7UZOzk5WSdOnFCdOnVcWoeZnHi+Ikn169d3ar6swJXHvJ+fnxo3bqy1a9emG3/w4IEiIyMVEhJid+6RI0dabTRKTEzUt99+q5dfftnuvJKsNjL/ht2MzOXJk8fhcxMj9erVU2BgoNWdzczew5zBYrHoypUrunr1qm7duqXY2FglJiYqKSnJpu9fzGTVa+m9e/caxp39vu1uzZs3d0negIAA+fn5WT3n57oWAAAAAAD3YPUTAAAAAEBPPPGEnn/+ecXGxqYbT0pKUnh4uEaNGmV37vnz5xsuxMuTJ4/69Oljd153KVGihDp16mR10Y4kXbt2TUOGDNHYsWM1dOhQPfHEEx5fDJcTXbx4UatWrdKOHTu0d+9enT592qWLQM0akfBnc+bM0b///W/DMc2aNdOcOXPcdkff5ORkbdq0SRs3btSuXbt05MgRXb9+3WXzccz83dGjRw3j9erVc3kN9erVM9x578iRI06dr2zZsk7N90dBQUGG8eyyMB7pGzJkiNW71c+aNcvqne6NGkCHDBnilNqcyaxh1Rk7MBUqVEidO3fWkiVLDOvILo1GPj4+evHFF/Xee+95fOeYzCAgIMB0THZ5P80sn8NGuz4eOXLE49dWmeV1cuf5SuHChTNdo6mreXt7q1atWi6do3bt2lYbjaRfj7WMNBp16dJFZcqU0cWLF9ONT5s2LUONRsnJyZo9e7bVeIECBfTkk0/anTenqVWrlry9vV2W39vbWzVr1tSePXvSjd+4cUO3bt1S4cKFnTbnzZs3tWrVKm3fvl179uzRL7/8YrXRyRmy4rV0dHS01b9JScqdO7dLG9DcwdXXtrdv3043ll3OwwAAAAAAyOxc940WAAAAACDLCAwMVN++fQ3HGC1qMmLL7iV58+bNUG53MWuO+M3ly5f1zjvvqG7duqpQoYKGDRum8PBwwx1O4JgHDx5o6tSpaty4scqWLauRI0dq9uzZOnbsmMsXHsTHx7s0f3YSERGhZ555xnBM5cqVtWzZMpffDV769Y7OI0eOVJEiRfTII4/o3Xff1bp161zaZCRxzKTn/PnzhnF3LLwyWxxsVqO9ChQo4NR8f2T2eWptdxZkD4MHD7a6iDU8PFwpKSl/+/fr169rzZo16T4mX7586tWrl1NrdNS+fft0+PBhq3EfHx8NGDDAKXOZNSzNnz9fCQkJTpnLU7y8vPT4449r3759+uijj2gy+v9saTS6f/++GypxvZz4OZwROfF1cuXi8cyqcuXKCgwMdOkcZk1zRrtWGfHx8dGwYcOsxo8fP66tW7fanXfJkiW6ceOG1fjAgQNtes/M6dzRLGk2x+nTpx2eIyUlRQsWLFD79u1VvHhxhYaGasqUKTpw4IBLm4ykrHktffbsWcN4vXr15Ofn56ZqnC9Xrlwufc80urbluhYAAAAAAPeg0QgAAAAAIEkKCwszjB84cMDuuyQfO3ZMe/fuNRwzdOhQu3J6QtOmTTVmzBi7HhMVFaVp06Zp4MCBKlOmjMqWLat+/frpiy++0IEDB5SWluaianMGi8WiKVOmqHLlyho+fLjVO/e6EndQtc3x48fVq1cvw4UghQsX1urVq516h+X0nD17Vk888YTq1q2rb775Rnfv3nXpfH/FMfN3V65cMYxXrlzZ5TVUqVLFMG5Wo70KFizo1Hx/ZLYbmMVicdnc8LzSpUurQ4cO6cZu3LiR7u6Mc+fOTbcBSZKefPJJly+4tpdZA3uHDh1UsmRJp8zVpUsXFSpUyGo8JibGcMejzKxKlSoaO3asTpw4oWXLlnl8t5jMxpbzEaOF91nJ1atXrcb8/Pzc0mzi7s/hjMiJ5yvBwcFOzZcVVK1a1eNzXLt2LcO5n3nmGfn6+lqNT5061e6cZo8ZPny43Tlzoqx+bEnSDz/8oJCQEPXv318RERFu/04rK15LG+1mJLnnuHAlV95AQzK+tuW6FgAAAAAA96DRCAAAAAAgSWrWrJmqV69uOMZscedfme2CVKlSJbVq1cqunJ4yadIk9ejRI8OPv3jxor777juNGjVK9evXV9GiRdW/f38tWrTI5Xd+zW6uXbumDh06aMSIEYaLI10tNTXVY3NnFdeuXVPnzp0VExNjdUzu3Lm1dOlSly/QnD59umrXrq0ff/zRpfMY4Zj5u1u3bhnG3bHI1WyOmzdvOnW+XLlyOTUf8EehoaFWY+mdl82ePTtDuTwhMTFR8+bNMxxjtguRPfz9/U13/JwxY4bT5nMmf39/BQUFqXTp0mrQoIG6d++u1157TeHh4bpw4YJOnTqld999V9WqVfN0qZlS/vz5TXeIc3TBdmYQFxdnuEOEuxpN3P05nBE58XwlX758Ts2XFWSG36MjO6yWKFFC3bt3txpftGiR4XXZX507d07r1q2zGm/WrJlq1aplT4k5VlY+tu7du6c+ffqod+/eTtkVKaOy4rW02WueP39+9xTiIlzXAgAAAACQ/dFoBAAAAAD4ndmuRuHh4Vbvev9Xqampmjt3ruGY0NBQ090XMgsfHx/98MMPGjt2rFPyRUdHa8GCBerTp4+KFSumYcOG6dixY07JnZ1FRkaqadOmioiI8HQpMBEXF6euXbvq/PnzVsd4eXlpzpw5at68uUtrGTt2rJ555hnFxcW5dB7Yz2iBs+SeRa4BAQHy8/OzGjerEchMevbsaXWh6YoVKxQdHf37/9+3b5/V3SorV66sli1buqTGjFqyZInu3LljNR4UFKSePXs6dU6zxqX169eb3q3eWSIiImSxWGz6SUxMVGxsrC5evKi9e/dqyZIleu+99zRgwACVKVPGLfVmdaVKlTKMG53fZBWZ4TNYMl8cnxk+hzPDa+Xu85Wc2GgUFBTk8jnMXldHr1dGjhxpNRYfH2/6Hc0fTZs2zXDXEHYzsl1WPbZu3LihVq1aadGiRRktK0czu6lQVm80AgAAAAAA2R+NRgAAAACA3w0aNEg+Pj5W4zdu3NCqVatsyrVmzRrDO317e3tryJAhdtfoSd7e3nr33Xe1fft2py6+vX//vqZNm6aHHnpITz75pM6dO+e03NnJ9evX1bFjx2yxsDO7S01NVb9+/bRv3z7DcZMnT1bv3r1dWsv777+v9957z6VzIOMSEhIM45lhkbNZjXAuswZkT93N3KzROrM0TgcEBKhPnz7pxpKSkv60I5DRTpWZ8RzNbPegJ554QoGBgU6ds0mTJoa7/qSlpRnuCoWsq1KlSobxEydOuKkS18kKn8FS5vgczgqvlbNfJ2/vnPefkN3xezSbw9HfY4cOHVSlShWr8alTp9qUJyUlxfA8ITg42HTXP/yfrHhsxcXFqUuXLjp06JAjZeVoZg2gNBoBAAAAAIDMztfTBQAAAAAAMo8SJUqoU6dOWrFihdUxs2bNUrdu3UxzGS1KkX5dAJNV76jerFkzbdmyRT/99JOmTZumZcuWKTEx0eG8FotF33//vVatWqVPP/1Uw4YNc0K12UdoaKiioqJsGpsrVy41atRI9evXV9WqVVWhQgUVL15chQsXVp48eZQnTx75+vrK19f6VyNRUVGqUKGCk6rPWUaNGmX4PiJJzz33nEaPHu3SOrZv327XLmTlypVT48aNVbt2bVWqVEmlSpVSsWLFlC9fPgUFBcnf319+fn6GDQWhoaEsOgccYPS+LEnJycluquTPkpKSDOP+/v5uqsRcaGio1YXEs2fP1gsvvKCkpCTNnz8/3THe3t6mO/m426VLl7Ru3TrDMblz59a0adOcPne5cuX0yy+/WI3PmjVL48aNc/q88Ky6desa3mDhtx2jsur1DIC/M9oxyl1zONpQ7eXlpREjRmjMmDHpxg8fPqxdu3apSZMmhnlWrFihq1evWo0PHDhQAQEBDtWak2TFY2v06NHau3evTWN9fHxUv359NWzYUNWqVVPFihVVvHhxFSlSRHnz5v39+xezGjNL4z4AAAAAAAB+RaMRAAAAAOBPwsLCDBsEVq5cqejoaBUqVMjqmNu3b2v58uWG8wwdOjTDNWYWHTt2VMeOHXXnzh0tW7ZM69evV0REhC5duuRQ3gcPHmj48OE6f/68Jk6c6KRqs7bvv/9ea9asMR3Xvn17Pfvss+rUqZPDuxpYLBaHHp9Tffjhh/ryyy8Nxzz++OP67LPPXFqHxWLRyJEjlZaWZjiuQIECevbZZzVw4EBVr17dKfPCdrlz5zaMx8bGmu504Ax37961GjOrEc5l9nqb3RncVczuAp+ZjpPmzZuratWqOnXq1N9i+/bt09GjR3Xy5Endvn073ce3a9dOZcuWdXWZdpk9e7bp+/nXX3/tpmr+7MyZM9q8ebNat27tkfnhGvXq1TMds3379iy9o4ctn8HuYPQZLGWO91fOV3KGe/fuuXwOs78rZ/weQ0NDNW7cOKvnLlOmTDFtNJoyZYphfPjw4RmuLyfKasfWnj179M0335iOa9iwoZ577jn17NnT4ffA7HgdbdaMFxMT455CAAAAAAAAMijn7XsPAAAAADD0+OOPq3DhwlbjSUlJCg8PN8wxb948wzv/58+fXz169MhoiZlOgQIFNGTIEH377be6ePGiIiMjNW3aNA0ZMkSVKlXKcN53331X06dPd2KlWdfbb79tGM+TJ4/mz5+v9evX64knnnC4yUgyX/SIv/v+++/1z3/+03BMw4YNNX/+fPn4+Li0lh9//FFHjhwxHNOxY0dFRkZq4sSJTmkykjhu7GW2+Modi5zj4+MNd8nhbu3uZfb+ba05xtWio6MN45ntOBkyZIjV2KxZszRr1iyr8dDQUOcX5CCjejMDs508kfU0btzYdMzGjRtdX4gLZYbPYMn83CkzvL9mhteK8xXXc8fv0R2NRoUKFdKTTz5pNf7dd98Z1nHhwgWtXbvWarxJkyaqXbu2QzXmNFnt2DL7/sXX11cff/yx9uzZo9DQUKc0WmbH62iz6xoajQAAAAAAQGZHoxEAAAAA4E/8/Pw0cOBAwzGzZ882jJstBu3fv3+2vuNy5cqV9fTTT2vWrFk6ffq0rl69qnnz5mno0KEqUaKEXbmee+45Xbx40UWVOl9iYqLTc+7evduwYcTPz08bNmxQv379nDrvnTt3nJovu9u+fbsGDRpkeCfi8uXLa8WKFcqTJ4/L6zFr0uvVq5dWr15tuDtbRnDc2KdIkSKGcXcsyjNb1Fa0aFGX14D/Y3ZM3Lp1y02V/JlZo1FmO04GDx4sb+/0v/6fNWuW1QXE+fLlU69evVxZmt02b96s06dPe7oMQ4sWLdL9+/c9XQacqGzZsqZNyLbstpmZ5cmTx7A5JbM0GmWG91fOV3KGzNAM4qxrk5EjR1qNxcXFad68eVbj06dPN9xFkN2M7JeVjq2rV69q9erVhmMWLlyol19+2ebabJEdr6OLFy9uGKfRCAAAAAAAZHY0GgEAAAAA/iYsLMwwvn//fquNH0ePHtW+ffscyp/dFC9eXP3799f06dN1+fJlbd26VcOGDbNp153ExES98847Tq3HqBHEUWYLsTNi6dKlhvG33nrLprvO28tTu2ZkRZGRkerWrZsSEhKsjsmfP79WrVqlYsWKubyeBw8eaN26dVbjxYsX19SpU60uwncEx419zJovz5w54/IazBoY7G0QhWNKlixpGI+KinJPIX9x7tw5w3hmO05Kly6tDh06pBuLjo5WSkpKurEnn3zSKbsCOlNW2C0oLi5OCxcu9HQZcLIuXboYxqOiorRr1y43VeMaRu9dSUlJunTpkstryAqfw5yv5AxXrlxx+RxXr141jJs1JtiqefPmhrsOTZ06Nd1/T01N1YwZM6w+Ll++fE6/wUdOkJWOrRUrVig1NdVqfNiwYerZs6ddtdkiO15HlylTxjB+6tQpN1UCAAAAAACQMTQaAQAAAAD+pnbt2mrQoIHhGGu7FpntZlSzZk01atQog5VlfV5eXmrRooWmTJmiqKgoDRs2zPQxs2fPVlxcnF3z+Pr6Wo09ePDArlz2cMXikK1bt1qN5c6dWy+88ILT55Sks2fPuiRvdnPr1i117tzZsMnM399fixcvVkhIiFtq2rVrl5KTk63Gn376aRUsWNDp86ampur8+fNOz5udlS9f3jB+4MABl9dgNke5cuVcXgP+T9myZQ3jUVFRhnfZd4WUlBTTBiezuj0hNDTULY9xpfv372vRokWeLsMmWaEhCvbp1q2b6Zg5c+a4oRLX4XPYNrxOOcPRo0ddelMOSTp06JBh3KwxwR5Guxrt378/3RvErF692rDB8Kmnnsp0DclZweHDh10+h7OOLaPvXyTpn//8p8012SM7fv9SqVIlw/iBAwcMv7cAAAAAAADwNBqNAAAAAADpMtt1KDw8/G93w09JSdHcuXMdypuTFClSRFOmTNF7771nOC4pKUmbN2+2K3euXLmsxmJjY+3KZQ9X3PX8+PHjVmOPPfaYgoKCnD6nJG3bts0lebOThIQEdevWzfQO6zNmzFDbtm3dU5SMjxnp1x07XOHIkSO6d++eS3JnV7Vq1TKMZ4aFuw899JDLa8D/MTsmEhISTP/Gne3YsWNKSkoyHGNWtyf07NlTwcHBNo+vVKmSWrZs6cKK7Ldw4UK7m609ZevWrYqMjPR0GXCiVq1aqUqVKoZjZs2alaV3YeBz2Da8TjnD/fv3Xb47lVkzSI0aNZw218CBA5U3b16r8SlTptj0b380fPhwh+vKicx+766eI3fu3KpYsaJNeYzOs+vWravKlSvbXZstsuP3LwUKFDBsVE1ISNDBgwfdVg8AAAAAAIC9aDQCAAAAAKRrwIABhs0q169f1+rVq//0b6tXr9b169etPsbX11eDBg1yWo3ZxWuvvaY2bdoYjtmyZYtdOY0WFt+9e9euXPZw9uKQBw8e6NatW1bjzlyI9Vfbt293We7swGKxaODAgdqxY4fhuIkTJ+qpp55yU1W/MtpVyMvLy2U7K2XHxVGuVqdOHcP4vn37lJiY6NIazH5vZjXCuWrUqGG4K58k7dy5003V/GrXrl2GcT8/P7ft2GaPgIAA9enTx+bxQ4YMcWE1GTNjxgzD+MsvvyyLxeK2n549exrWY7azJ7IWLy8vPfPMM4Zj4uLi9Nlnn7mpIucz+4xz9bnNlStXdO7cOatxf3//TPH+yvlKzuHqpjGz/DVr1nTaXEFBQYbXYfPnz/9TM+/ly5e1atUqq+MbNWqkunXrOq2+nOTy5cu6ceOGy/Jfv35dV69etRqvXr26fHx8bMpldC3tyu9fsuu1dMOGDQ3jGzdudE8hAAAAAAAAGUCjEQAAAAAgXQUKFFCPHj0Mx/x1MaXZ4souXbqoaNGijhWWTT333HOGcaNFI+kxep1PnjxpVy5bJSUlae/evU7NabY7TPHixZ0632927dqlmzdvuiR3djFmzBj98MMPhmOeeeYZvfHGG26q6P8YHTcFChSQv7+/S+ZdsWKFS/L+xmhxWHJyskvndpWKFSuqVKlSVuOxsbEufV13796tU6dOWY3nypVLTZo0cdn8+Dt/f3/TBXlr1qxxUzW2zdeoUSOXva84KjQ01KZxXl5ema7RKDIy0nTR6cCBA91Uza/MGme//fZbpaWluakauMPQoUMNdwSRpA8//FAXLlxwU0XO1bp1a8P4+vXrDW8k4Siz3XCbNm2aKd5fOV/JORYvXuyy3CdPnjS8Fq9Zs6by58/v1DlHjhxpNXbv3j3Nnz//9/8/Y8YMpaamWh3PbkaOWbJkicty//jjj4bxFi1a2JzL6FraVd+/XL582aU7+5g1WbnyWrpjx46G8WnTpslisbhsfgAAAAAAAEfQaAQAAAAAsCosLMwwvmLFCkVHR0uSoqOjTRdXmeXLycwWfhjt6pOesmXLWo2dOHFCKSkpduWzxerVq5WQkODUnElJSYZxW+/Ka6+sfGd6d/jf//6njz/+2HDMo48+qq+++spNFf2Z0XHjqmPml19+0dq1a12S+zdGC23j4+NdOrcrPfLII4bxOXPmuGxus9wtWrRQQECAy+ZH+swW5K1du1b37993Sy337t3TTz/9ZDjGrF5Pat68uapWrWo6rl27dobnDp4wc+ZMw3hISIjq16/vpmp+1bVrV8NdIy9dumR6vCBrKVy4sF566SXDMQ8ePNDzzz/vnoJsZOt5QeXKlVW+fHmr8dTU1D81Ijib2efwww8/7LK57cX5Ss6wbNkyPXjwwCW5w8PDDeNt27Z1+px169Y1bEKbOnWqJCktLU3Tp0+3Oi4oKEj9+/d3en05iSvfS+fNm2cYt+fY8sS19P/+9z+XfEf1G7OGVVdeS3fp0kVeXl5W46dOndK6detcNj8AAAAAAIAjaDQCAAAAAFj1yCOPqHTp0lbjSUlJvy9omDdvnuGChKJFi6pLly5OrzG7KFy4sGE8MTHRrnzVqlWzGnPFzkOSTBtPMsJswdyNGzecPueVK1f0/fffOz1vdrF8+XK9+OKLhmPq1KmjRYsWydfX101V/ZnRcRMdHW14p+6M+uKLL1x+J+KgoCCrsdjYWJfO7Uo9e/Y0jK9evVrnz593+rwxMTGmi/LMaoNrdOvWzTB+//5909+ds8ydO1dxcXGGYx5//HG31JJRtuxUZOvOR+6Smpqqb7/91nCM2e5CrpArVy717t3bcIxZgxSynjFjxqhgwYKGY5YvX65PPvnETRUZ27dvn103eDD7rJs6dapLzp02b96so0ePGo7JTJ/DnK/kDHFxcS7Z1SgtLc200aRr165On1eS/vGPf1iN7d69W4cPH9ZPP/1kePwOGDBAefLkcUV5OcbmzZtdsvtdVFSU4Q6QuXLlMm2U/COja2lXfP8SHx//e8ObqxhdR0uuvZYuWbKk2rVrZzhm8uTJLpsfAAAAAADAETQaAQAAAACs8vb2Nl2cOmvWLEnmiyoHDhzosaaDrMBsxyKju+enp27duoZxZ99Nd8eOHdq8ebNTc0pSgQIFDI+bPXv2OH3OUaNGKTk52el5s4O9e/eqf//+hotNS5curZUrV5ou5nGlIkWKWI2lpaVp//79Tp1v//79mjJlilNzpsfoeV24cMEli4DdoVOnTobNlklJSXr55ZedPu+4ceN0+/Ztq3F/f3/u3O4hDRo0UM2aNQ3HTJo0yXTXO0clJiZq0qRJhmMeeught++qY69nn31WP//8s+HPk08+6eky/+Snn37S5cuXDccMGDDATdX8mVmD09KlS3Xnzh03VQN3CA4Otqmh/l//+pfpDq+utnTpUrVp00bXrl2z+TGDBg0yjB8/flz/+9//HC3tT1JTUzVq1CjDMfXr11etWrWcOq8jOF/JOSZMmOD068Hp06frzJkzVuOFCxd22Q5effv2VYECBazGp0yZYtroMXz4cGeXleOkpaXpzTffdHreN954w/CGF4899phd3ycZXXO64vuXcePG2b2Dt70CAwMVGBhoNX727FmXzj9ixAjD+M8//6xp06a5tAYAAAAAAICMoNEIAAAAAGDI7A73+/fv17x583TgwAHDcUOHDnViVdnPvn37DOMVK1a0K1+rVq0M4999950ePHhgV05r7t+/b9NuCRnh4+OjcuXKWY1HRETo7t27Tptv9uzZ+uGHH5yWLzuJiopS165dDXf2yJcvn1auXKlSpUq5sbK/q1SpkmHcmXcpT0hI0MCBA93SnFamTBmrseTkZEVGRrq8Blfw8/PTM888Yzhm8eLF+umnn5w258GDB/X1118bjunTp48KFSrktDlhH7MFrefOndN//vMfl9bwzjvvmN55ftiwYS6twRny58+vhx9+2PAnd+7cni7zT8wa2Js3b64KFSq4qZo/a9OmjeGOn4mJiW7bcQvuM2TIEHXu3NlwTHJysnr37q3Vq1e7qar/k5SUpJdeekk9evQw3YXtr+rVq6emTZsajhk/frxTd7L48ssvdejQIcMxzz77rNPmcwbOV3KOyMhIff75507LFxsbq3HjxhmOGTRokMtuzJI7d27D6/U5c+Zo+fLlVuMNGjTI9E3VWcWcOXOcurv0jh07TM857P0uzuha+vjx4zp16pRd+Yxs3LjRbbsBGl1LHz9+3KVz9+rVS5UrVzYc8/LLL7u84QkAAAAAAMBeNBoBAAAAAAxVrlxZrVu3NhxjdnfORo0ame5MkBnFxcXpww8/tHuxXkZ89dVXhvGGDRvala9MmTKqUaOG1fj169f17rvv2pUzPRaLRc8++6xLGxwaNWpkNRYfH++U5yFJBw4cML2zek4VExOjzp076/r161bH+Pr66vvvv1ft2rXdWFn6jI4ZSfrvf/9r+FxsZbFYNGLECJ04ccLhXLaoXr26YXzlypVuqcMVXn75ZcO7TEtSWFiYrly54vBcMTEx6tu3r+EOUF5eXnr99dcdngsZN2zYMJUoUcJwzMSJE7VmzRqXzL9ixQrT3YxKlCiRJRqNsprbt29r2bJlhmMGDhzopmr+ztvb23T3ELNGqewuKipKXl5ehj9vvfWWp8u027Rp01SyZEnDMYmJiXr88cf16aefuqco/brQvHHjxvrss88ynOONN94wjMfExGjAgAFKSUnJ8By/2bdvn/71r38ZjilTpowGDx7s8FzOxvlKzvH222/r9OnTTsk1ZswYw0Y9Hx8fvfjii06Zy5qRI0dajcXGxhreNMEVuxm1bdvW8DOifPnyTp8zM/jt+jEhIcHhXPHx8frHP/5hOKZKlSp6/PHH7cprdi1t1jRnq/Pnz2vgwIGGuzE5k9G19J49e3Tz5k2Xze3r66t33nnHcMz9+/f1+OOPu7QOAAAAAAAAe9FoBAAAAAAwFRYWZhi/f/++Q4/PrJKTk/Xqq6+qQoUKmjBhglMaE9Lz1VdfGd753N/fX4888ojdefv06WMY//DDD7V161a78/4mOTlZgwYN0pw5czKcwxYdO3Y0jH/66adau3atQ3Ps2LFDHTt2VGxsrEN5sqOkpCT17NnTtJlmypQpGTpOXaFatWqGO2Hdu3dPAwcOVFJSUobnSE5O1tChQ/Xtt99mOIe9mjRpYhj/4osvTN+PM6uiRYtqzJgxhmOuXLmiRx55RFevXs3wPDExMXrsscdM78QdGhpq2KwJ1wsICNC///1vwzGpqal64okntHTpUqfO/eOPP+rJJ580XNwt/brDR2bbCSg7CA8PV2JiotW4n5+f6TmOqz311FOG8X379unw4cNuqgbuUqJECS1dulQBAQGG41JTU/Xyyy+rU6dOioqKclk9UVFRCgsLU4sWLUx3BzLTtWtX05tLrF+/Xk899ZRDuzgePnxYnTt3Vnx8vOG4iRMnys/PL8PzuArnKzlHbGysunfvrlu3bjmU5/PPP9fUqVMNxwwePNjw2sUZqlWrpnbt2tn9uLx582rAgAEuqCjn2r9/v8LCwkzPM42kpqZq8ODBpu/948aNk5eXl125zb5/WbRokWbMmGFXzr/65Zdf1L59e12+fNmhPPYwupZOS0szvcGAo/r27av2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b+3du1cVK1a04F5kHlOmTNGrr77q8PjixYurWbNmqly5svLlyycfHx9FREQoPDxc27ZtU3h4uEPzfPrpp8qTJ4/Gjx+f2tQdtnPnTg0YMMDu+76/v78aN26sypUrq1ChQnrooYd0//593bhxQ8ePH1dYWJgePHhgus6mTZv0+eef68UXX3TxPYCnde7cWYGBgYqMjPxHbM2aNbpx44YKFSqUqrkPHjyoQ4cOpRirUKGCGjVqlKp53WXTpk06d+6c3XjFihXVoEEDwzn69eun119/3e7v5NKlSxUREaG8efOmJdV0yZFroYceesiCTNKXgwcP6u7du4ZjWrZsaVE21goNDdWyZcscHl+9enU1aNBA5cqVU2BgoBISEnTr1i2dOHFCmzZt0s2bN03nSExMVO/evbVy5Uq1adMmLelbJitcr0yePNmwuC137txq2LChqlSpohIlSihnzpyKi4vT3bt3deLECe3YsUOXLl1ye56u9MUXX2jevHl244GBgQoJCVG1atVUqFAh+fv76969ezp9+rR27dpl9/Pz7z766CNVqFBBw4YNczrHOnXqKDg4WHv27EkxvnLlSl27dk1FihRxem5HHDlyxLDzdvPmzfn+4ybR0dFq3bq13ec+JZUrV1aDBg1UuHBh5c+fX7lz59bt27f/+F6xdetW0++3NptNw4YN08MPP6z27dun9W643cWLF9WhQweHvi9Jv/0NKSQkRFWqVFGBAgX+8v68detWnT59OsXbXb16Vd26dTN8z3ClsLAwtW/f3uH7lT17dtWvX1/VqlVTgQIFlD9/fnl7e+v69eu6fv26tm7dql9++cV0nkuXLunxxx/Xnj17FBgYmNa7Yei7777Ta6+9ZjeeI0cONW/eXOXKlVOhQoVUoEABRUVF6ebNm9q/f7+2bdvm0KEhc+bMUZcuXdSpUycXZg8AAAAAANyNoiYAAAAAyGQGDRpkWNR048YNrV69Wh06dHD52j/++KOuXLliOGbQoEEuXzct3n77bdPTt/v27as33nhDlSpVsjsmd+7cyp07tySpSpUqf9kIeevWLa1cuVLLly/X2rVrHd6kAKlkyZLq0KGD2rZtq9q1azt1Yv7Zs2c1c+ZMzZo1y/SE3a+//lrdunXTo48+mtaUM5z333/fbScc/1lcXJxGjx6tqKgot67j5+en5s2bq1OnTmrcuLGqVKkif39/h24bHx+vVatWafr06VqzZo1hMeK9e/f09NNPa/PmzfLy8nI4v0qVKqV4EvakSZN06tSpFG9TsWLFNJ34bvTeZaWff/5Zzz//vENjO3furFGjRpkWWBw5ckQff/yxvvnmG9Pi0bffflt169Z1y+ff7+7evatevXql+LlSt25djR49Wm3atFGuXLnszvHgwQPNnTtXY8aMMd0sPn78eA0YMED58+dPc+5IPwICAtSjR48U3ysSExM1b968VHfzMOpKNHDgwFTN6U5mXZTMujRJ0sMPP6xWrVrpxx9/TDEeGxurBQsWZMpT3bdv324Y9/f3z5TdiMzs27fPdExISIj7E7HYxx9/rPnz55uOy5Ytm5599lk9++yzKlu2rN1xNptN69at08SJE7V582bDORMSEtSnTx/t27dPpUqVcjp3K2WF65WzZ8/qu+++SzHWuHFjjRw5Uu3btze9hv7555+1fPlyd6TochcuXLD7d5IaNWpozJgx6tKli+HhL2fPntVnn32myZMnm/4N4cUXX1Tjxo1VrVo1p3MdPny43cKWxMREzZgxQ6NHj3Z6XkfQpckzkpOT1bdvX4cKmoKCgjRy5Eh16NDBtDA5JiZGK1eu1Pjx43XixAm742w2m/r27av9+/cbvu97WnJysvr166cbN26Yjm3atKnGjBmjNm3aGH5fP3jwoCZNmqQFCxbIZrP9JbZr1y59+umnaU3bVHh4uLp27Wr6t0Jvb2916dJFzz77rBo1amT6Hn3+/HlNmzZNn376qWJiYgzX79+/v1vfz8+ePWv3sWzVqpVeeeUVhYSEKFu2bHbniIyM1FdffaUJEyYoOjracL1Ro0bpiSeecMuBXgAAAAAAwE1sAAAAAIBMp169ejZJdn86d+7slnV79OhhuG6dOnXSNL/R3OPGjXN6voiICFv27Nntzunr62ubO3dumnL+u5s3b9reeustW5EiRWwrVqxI1RyufhwcFRYWZrh2WFhYmuavX7++TZItMDDQNmrUKNvevXtdkndsbKxt9OjRNj8/P8P8g4KCbElJSWle79y5c4brzJw5M03zlypVyu7cAwcOTHP+7pCcnGzr3bu34eMiyTZ+/Hin5l2zZs0ft23UqJFt7ty5trt377ok5927d9tq1KhhmvOCBQtcsl7z5s3trtG8eXOXrGHGna+t+/fv28qWLWv6eBYuXNi2bt06p+ffvXu3Q/Pnz5/fduPGjTTdF6PHyd6a8+fPtyUnJzu1TkREhK1Zs2am87/77rtpuj9WMnqdu/szzMi4ceMM80rr76DZa+bcuXP/uM327dvtjq9Zs2aq8oiPj7cVLFgwxTm9vb1tFy9e/MdtzD773fn+FBkZacuRI4fdtb28vGznz593aK45c+YY3o/g4GC33Q+bzfjaTUr7NVRKrl+/brpual9LGd3w4cNNH5uoqChPp+lSR48eNb0W/v134fTp007PP3v2bFvOnDlN52/WrJnTn4d/x/WKY5y9XsmbN69t/vz5aVrT04zun5eXV4qffRMmTLAlJiY6tc6xY8dsVapUMX1Ma9eunarvlzExMba8efPanbds2bJp/j1Kyf379w3XLVCggC02NtZ0HrPrvVKlSrk8d3czuj+uuH596623TF9PDz30kO37779P1XOfmJho+7//+z/Tz4FWrVql6X7MnDnTcP6Urnmd8dFHH5k+TtmzZ7dNmzbN6bk3bdpkK1q0aIrvE0brpfXvO7GxsQ69n7Ru3TpVn882m8129epVW8eOHU3XmD17dpruizOfOb+/F6xZs8bpdS5fvuzQY5bRP9MAAAAAAMhqvAUAAAAAyHTMuiGtWrVKt2/fdumaERERWrZsmeGYwYMHu3TNtAoLC1NsbKzd+Pjx49W3b1+XrlmwYEG98cYbunDhgpo0aeLSuTO6kiVL6sMPP9SlS5c0adIk1a1b1yXzZsuWTe+88442btxo2B3lxIkTdk8sR9qMGTNGCxYsMBzze0c0Z/j4+KhLly7auXOntm/frr59+ypv3rxpyPR/goODtXfvXnXv3t1w3Ntvv/2PE53xTxMmTNDZs2cNx5QvX167d+9WmzZtnJ4/ODhYe/bsMX3fuHPnjkaNGuX0/KlVqlQpbd++Xb1793aqo5ckBQYGavXq1WrQoIHhuK+//jotKSKdatSokSpWrJhi7NChQzpw4IDTc65cuVK3bt1KMdayZUuVKFHC6Tnd6dtvv9X9+/ftxps1a+Zwx5cuXbr80VEzJXv27NGxY8eczjE9++qrr0zH1K9f34JM0p8jR44YxosXL274eslobDabhg8fbtpZpkOHDtq6davKlSvn9BoDBgzQli1bTDsHbtmyRbNmzXJ6fqtk1euVEiVKaOfOnerdu7dla1rt79frvr6++vbbbzVmzBj5+Pg4NVeVKlX0888/m3boOnDggKZPn+50rjly5NCAAQPsxs+ePasNGzY4Pa+ZxYsXKyIiwm58wIABhl1UkDpHjhzR22+/bTgmJCREhw4dUpcuXZz+TiH99r352Wef1bp16wy/L//0009auHCh0/Nb4ebNm3rrrbcMx+TKlUs//vijnnrqKafnb968uXbv3v2Pz0Cz7nppNW7cOB0/ftxu3NvbWxMmTNDatWtT9fksSUWKFNEPP/xg2ul15MiRlnTxlqRatWpp586devzxx52+bbFixbRx40aVL1/ecJwj18IAAAAAACD9oKgJAAAAADKh3r17KyAgwG48Pj5e8+bNc+maCxYsUFxcnN14tmzZ1KdPH5eumVa7d++2G8uXL59GjhzptrX9/f1dVnyRWSxatEgjR4502ybSJk2aaNWqVfLz87M7huIA15s6daree+89wzEhISGaMWOG0xu0Wrdure+//9606CO1/Pz8NH/+fLVv397umOPHj2vbtm1uWT+zuH79uj755BPDMYUKFdKGDRtUsmTJVK+TP39+rVu3znSz15w5c3T06NFUr+OowoULa8eOHapcuXKq58iZM6dmzJhh+L514cIFw88zZFwDBw60G5s9e7bT8xkVEoSGhjo9n7vNmDHDMN6/f3+H58qRI4e6du2apvUyknv37umzzz4zHZeaoozM4OLFi4bxtLxvp0crVqwwvVZp2rSpFi9enKaChTp16mj16tWmc/znP/9RfHx8qtdxl6x6vZIrVy6tW7cu073uzfz3v/9Vt27dUn373Llza9WqVaab6seNG2f4dxJ7hg8fbhifOnWq03OaMZtz6NChLl8T0jPPPGNYdNq0aVOtXbtWRYsWTfNaLVq00JIlSwwL+caPH+/2Qp7UeO+99xQZGWk37u3trUWLFqXp8KDixYtr/fr1pgW6rvLLL7/oww8/NBzzxRdfaMyYMfL2Ttu2Hm9vb3388ceGBV+3bt3SF198kaZ1HFGlShVt2bIlTa/pwoULa/LkyYZjtm3bpmvXrqV6DQAAAAAAYC2KmgAAAAAgEwoMDFTnzp0Nx7j6hGyz+Tp27Kh8+fK5dM20MjqFu02bNpxCnAk1a9ZMI0aMsBsPCwvT5cuXLcwoc1u7dq2eeeYZwzFBQUFasmSJ/P39LcrKOb6+vpo6daphsd2cOXMszCjj+eijj/TgwQPDMdOnT3e444qRAgUKaOHChYabvmw2m9599900r2XEy8tLs2fP1sMPP5zmuYKCgkw3tq5bty7N6yD9GTBggN3X8vz58027rvzZjRs3tHr16hRjefLkUZcuXVKVo7ucPHlSP//8s914QECAaSe9vzPqeiFJc+fOVWJiolNzpleDBw/WnTt3DMfkzJlTbdu2tSij9CM5OVlXr141HOOK9+70ZMKECYbx3Llza+HChS65Fqtfv77pZ+zly5fTZbemrHi9IknvvvuugoKC3L5OetKpUyeXFOjkzZtX8+fPNzyY4erVq5o/f77TcwcFBal58+Z248uWLdPNmzednteeEydOGBY/Nm3aNMsVvllhzZo1ho97pUqVtGzZMpf+bSokJMSw49HJkye1atUql63nCpGRkZo2bZrhmBEjRrjkuqZs2bL68ssv0zyPI/7zn/8oKSnJbvzVV181/XuKs7744gvVqFHDbvzzzz936/Vw9uzZtXDhQpccZvToo4/qySeftBtPTk7Wjz/+mOZ1AAAAAACANShqAgAAAIBMatCgQYbxAwcO6MiRIy5Z68SJE6ZdIszy8YS7d+/ajaXl9G2kb+PGjVOePHlSjNlsNq1fv97ijDKngwcPqkePHoYbYgoXLqzVq1en+65lRYsW1ahRo+zG165da2E2GUt8fLxp95MnnnhCTzzxhMvWfOSRRwxPoJak7777Trdu3XLZmn83dOhQPfbYYy6bb/DgwYZxuoVlTsWLF1erVq1SjN28edOpDadGBTs9evQw7PDpCTNnzjSMd+zY0e5nuT0hISGG13c3btxId5t4nWWz2TR69Gh99913pmMHDRqkHDlyWJBV+nL9+nXTzbpFihSxKBv327dvn/bs2WM4Zty4cS4t5BoxYoSqVKliOMasu4LVsur1SoMGDfTss8+6bf70yN/f37QzijOCg4NNi2b/+9//pmpuo6L2+Ph4lxYH0qXJM8w6Gn/99dduORzo1VdfVenSpe3Gp0+f7vI10+Kbb77RvXv37MYLFiyocePGuWy9nj17pqnjkyNOnz6txYsX241XrFjRtCg5NQICAvTxxx/bjV+/fl0rV650+bq/GzdunKpXr+6y+fieDAAAAABA5kFREwAAAABkUq1atTI9Rdpsw6ijzDbTFCtWTG3atHHJWlbJLCf1459y586txx9/3G5848aNFmaTOV2+fFnt27c33HiUI0cOrVy50nAzVXpi1BHk0qVLOn36tIXZZByrV6/W7du37cZ9fX316aefunzd9957T4GBgXbjCQkJqTo13xHe3t565ZVXXDpnrVq1DE/HP3TokEvXQ/oRGhpqNzZ79myH5zEaa7SGJyQlJZl2wDPbQJ4SLy8v9evXz3CMq66NPSEiIkKdO3c23SAt/XZK/siRIy3IKv2JjIw0HVOwYEELMrGG2e9SxYoVDbuYpoavr68+//xzwzEHDx7U4cOHXbpuWmTF6xVJGj16tGG3qMzo+eefV7ly5Vw653vvvWdYJLpv3z6Fh4c7PW+XLl1UqFAhu3GzQiRHxcXF6ZtvvrEbz58/v7p16+aStfA/J0+e1NatW+3Gu3TpYtitKy18fX0ND+1YvXq1oqOj3bJ2aixYsMAwPm7cOJcflPLZZ5+5dL6/mzZtmmw2m934hx9+KD8/P7es3apVKwUHB9uNf/vtt25ZN3fu3C7vPNWuXTvDz1G+JwMAAAAAkHFkrb9UAwAAAEAW4uXlpYEDBxqOmTdvXpqLdxzZeDpw4MB0uVmqQIECdmMHDx60LhFYrm3btnZjBw4csDCTzCcqKkrt2rXTlStX7I7x8fHRwoUL9cgjj1iYWdoEBQUZForyuknZkiVLDOOPP/64yzeWSr+9v/fu3dtwjFluqdWhQwe33KcGDRrYjV2/fl0REREuXxOe17lzZ7sb9VatWuVQB4/9+/fbLR6oUKGCGjdunKYcXW3NmjW6evWq3XiRIkVSXSxvVgy1atUq3bhxI1Vze8rFixf1+uuvq3Tp0lq2bJlDt3nttdcyTFGxq8XGxpqOyZ49uwWZWMPss27o0KFu2TTdqlUrBQUFGY5x1+dwamTF65UiRYoYfifKrIy6H6VW0aJF1aFDB8MxjnTQ+zt/f3/DLiTh4eHatGmT0/P+3Q8//GBY1Ne/f3+n3hc3bdokm81m9+f8+fNpzjkzMCtOf/XVV926fmhoqN33/4SEBIWFhbl1fUdduXJFP//8s914QECA6d8+U6NOnTqqX7++y+eVfuusafR31KCgID355JNuWft3Q4YMsRvbsGGDkpOTXb7mU0895XSnVTP+/v6qXbu23fjJkydduh4AAAAAAHCf9LejDAAAAADgMqGhofLy8rIbv3HjhlavXp2mNdatW2e48fT3PNKjhx56yG5s8+bNOnLkiIXZwEpGxSmnTp1SfHy8hdlkHomJierWrZvp785nn33m9k067mD0ujl69KiFmWQcGzZsMIynptuKo8zm3rlzp+7fv+/ydbt06eLyOSWpRo0ahvFLly65ZV14VkBAgHr06JFiLCEhQfPmzTOdw6ijpjs2gaaVWbek3r17y8fHJ1VzV6pUSfXq1bMbT0xMNC3Wd4dVq1Zp2rRppj9Tp07Vhx9+qNGjR2vAgAEqW7asSpUqpYkTJzrUgUiSmjVrpjFjxrj5HqVfDx48MB2TWYqaTp06pYsXL9qN+/j4qG/fvm5bv3///oZxs2sEK2XF65U+ffrI19fX5fOmZ8HBwSpfvrxb5u7Tp49hPLXdgIcOHWp4QMyUKVNSNa8zcwwdOjTNa+CfVq5caTdWpkwZtxXU/C5nzpyG3Xo2b97s1vUdtXHjRsOORk888YRy587tlrXNfq9Ta//+/YaHwPTs2dMt6/5ZSEiI3ditW7d0/Phxl6/pie/JkZGRhh3EAQAAAABA+pG1/loNAAAAAFlMmTJlFBISYnjC6qxZs0xPFTZitFFWkpo0aaIKFSqken53MtrUmpycrF69eumnn35SkSJFLMwKVjB6ThMTE/Xrr7+qTJkyFmaUOQwdOlQ//vij4ZiRI0fq2WeftSgj1zJ63XDi+D+dOXPGcLNW7ty53Vrc1rBhQ5UrV05nzpxJMR4XF6fdu3cbbuhKDXd1valcubJhPKN1l4HjQkNDNXXq1BRjs2bN0gsvvGD3tgkJCVqwYEGKMW9vb7du1E+NW7duacWKFYZj0przgAEDtHv3brvxmTNnauTIkWlaw1kffvihJetUqVJFixcvznKFDH/mSJfazPL4bN261TDeokULt37P6devn0aPHm03vmvXLsXHx8vf399tOTgiq16vNGvWzKXzZQS9evVy29yPP/648uXLp7t376YY37FjhxITE51+fylTpowee+wxrVmzJsX4712WjLpQGzHr9tS4cWNVqVIlVXPDvl9//dXwUIyuXbtakkezZs20Y8eOFGPppROxWXGVO3+ve/bsqZdeesnlXYvWrl1rGO/WrZtL10tJhQoVVKRIEV27di3F+IEDB1StWjWXrefv729YRJcWjnxPdlfhGwAAAAAAcJ3M8V9mAAAAAAB2DRo0yLCoadWqVaneBHP37l0tX77cdP30qmXLlobx48ePq3bt2nr//fez5EnW6VlycrIuXbqk69ev6+bNm4qOjlZcXJwSEhIMT/H93e3btw3jV69epajJSW+//bZpd41u3bpp0qRJFmX0T1FRUbp48aJu3bql27dvKy4uTnFxcUpKSnLo9pcvX7YbM+tYlxUdOnTIMF63bl23d8No2rSp3U3C0m85unKTcOHChVW2bFmXzfdngYGBhnFHu7Qg42nUqJEqVqyoU6dO/SN28OBBHT582O4J5StWrNCtW7dSjLVs2VIlSpRwaa5pNXfuXCUkJNiNV69eXbVq1UrTGr169dLLL79styvjsWPHtGfPHrdtvPSU+vXra/ny5SpUqJCnU/GobNmymY6Ji4uzIBP3M/scbtKkiVvXL1GihEqXLm238DshIUEnTpxQzZo13ZqHmax4vSJJderUcel8GYE7X/N+fn6qV6+e1q1bl2L8/v37Cg8PV1BQkNNzDx8+3G5RU1xcnL755hu99NJLTs8ryW7R9O/o0uQeu3btMozXrVvXkjyMOhGnl87lBw8eNIy78/e6cOHCKl++fIrX4Glh9PwHBASk6n0iNUqVKmW3qMnVz3/t2rXd9lnK92QAAAAAADIHdmMBAAAAQCbXtWtXPffcc4qKikoxHh8fr3nz5mnEiBFOz71gwQLDTX85c+ZUjx49nJ7XKkWLFlXbtm3tbhCSpGvXrmngwIEaPXq0Bg8erK5du3p8411WdOnSJa1evVo7d+7U3r17dfr0abduODUresJfzZkzR//5z38MxzRs2FBz5syRl5eXJTklJCRo8+bN2rRpk3bt2qUjR47o+vXrbluP18w/GZ0+Lv22scndateubdhR0NWbtUqWLOnS+f7M7HTpzLIJHykbOHCgxowZk2Js1qxZ+vjjj1OMGRWbDhw40CW5uZJZcawrOksVKFBA7dq109KlSw3zyCxFTT4+PnrhhRf03nvvebwjTnoQEBBgOiazvJ+ml89ho26WR44c8fh3q/TyOFl5vVKwYMF0V9Tqbt7e3i7tOpKSGjVq2C1qkn57raWmWKF9+/YqUaKELl26lGJ82rRpqSpqSkhI0OzZs+3G8+XLp+7duzs9L8yZdUGyqjuW0eFGN2/eVFxcnEPFwO5is9l04sQJu/HChQu7vVi7Zs2aLi9qMnr+K1euLG9vb5euZ4/R8290oEtq8D0ZAAAAAACYoagJAAAAADK5HDlyqGfPnoYn8M6aNStVRU2OdGXJlSuX0/Na6T//+Y9hUdPvfv31V7399tt6++23Vbp0aT366KMKCQlR8+bNVbx4cQsyzXru37+vefPmaerUqdqzZ4+laz948MDS9TKysLAwPf3004Zjypcvr+XLl7v9lHvpt5PsJ0+erIULF1p6Ii+vmX+6cOGCYTyt3VYcYbYR2SxHZ+XLl8+l8/2Z2eepva4zyBwGDBigN954Q8nJyf+IzZs3Tx988ME/Okpev35da9euTXG+PHnyqEuXLm7JNbX27dunw4cP2437+PioT58+LllrwIABhkVNCxYs0Mcff2zJ55a7eHl56YknntDbb7/t8aKR9MSRoqbo6GgLMnG/9PI5vGTJErtxV38Op0Z6eZyMuPpxcufm8vSqfPnyypEjh1vXMHuvNerGZcTHx0dDhgyxe4jE8ePHtW3bNqc71ixdulQ3btywG+/Xr59D75lw3smTJw3jW7du1e7du92ex/Hjxw3jV65c8WgH62vXrikmJsZu3Irrm5o1a2rx4sUumy8mJsawYMjLy0vTpk1z2XpG7HVzlX77G6gr8T0ZAAAAAACYoagJAAAAALKAQYMGGRY1HThwQEeOHFH16tUdnvPYsWPau3ev4ZjBgwc7PJ+nNGjQQKNGjdKHH37o8G3Onz+vadOm/bHRoESJEmrUqJEaN26sJk2aqGbNmpadrJoZ2Ww2TZ06VW+++aauXr3qkRw4ydUxx48fV5cuXQw3iRQsWFBr1qxRwYIF3ZrL2bNn9corr+iHH35w6zr28Jr5pytXrhjGy5cv7/YcKlSoYBg3y9FZ+fPnd+l8f2bW5cxms7ltbXhe8eLF1apVK/3444//iN24cUNr1qzRk08++Zd/nzt3rhITE1Ocr3v37m7f3O0ss2L5Vq1a6eGHH3bJWu3bt1eBAgXsdtmLiIjQ0qVL1atXL5esZ6UKFSqoe/fuGjBggCpVquTpdNIdR65HjDb5ZyRG19F+fn6WFLZY/TmcGlnxeiUwMNCl82UEFStW9Pga165dS/XcTz/9tN566y27n+tTp051uqjJ6G9EkjR06FCn5oPj7HXd+t1zzz1nUSbG7HV8t4rZ34PSw++1s8ye+/3792vIkCEuXTM1XP3c8z0ZAAAAAACYYYcVAAAAAGQBDRs2VOXKlQ3HmG0k/btZs2YZxsuVK6emTZs6NaenTJw4UZ06dUr17S9duqRvv/1WI0aMUJ06dVSoUCH17t1bixcv1v37912XaBZw7do1tWrVSsOGDfNYQZMkJSUleWztjOLatWtq166dIiIi7I7Jnj27li1b5vbNoNOnT1eNGjU8VtAk8ZpJidHJz5I1G2rN1rh586ZL18uWLZtL5wP+LDQ01G4speuy2bNnp2ouT4iLi9P8+fMNxwwYMMBl6/n7+6tnz56GY2bMmOGy9VzJ399fuXPnVvHixVW3bl117NhRr732mubNm6eLFy/q1KlTeueddyhosiNv3rymJ/qnpfAgvYiJiTHsImlVUYvVn8OpkRWvV/LkyePS+TKC9PA8Xr9+PdVzFy1aVB07drQbX7x4seH3sr87d+6cNmzYYDfesGFDVatWzZkU4YT0UNDpCE93Izb7nUkPv9fOyqrPPd+TAQAAAACAGYqaAAAAACCLGDRokGF83rx5dk/9/bukpCTNnTvXcExoaKjpaZnphY+Pj77//nuNHj3aJfPdvn1bCxcuVI8ePVS4cGENGTJEx44dc8ncmVl4eLgaNGigsLAwT6cCEzExMXriiSd04cIFu2O8vLw0Z84cNWrUyK25jB49Wk8//bRiYmLcug6cZ7YRyooNtQEBAfLz87Mb9/RGPcAZnTt3truxcuXKlX/pOrRv3z4dOXIkxbHly5d3upuDuy1dulR37961G8+dO7c6d+7s0jXNiqR++ukn09P0XSUsLEw2m82hn7i4OEVFRenSpUvau3evli5dqvfee099+vRRiRIlLMk3oytWrJhh3Oj6JqNID5/Bkvlm8PTwOZweHiurr1eyYlFT7ty53b6G2eOa1u8rw4cPtxt78OCB6d9o/mzatGmG3Uvo0uRe9+7d83QKDvF0N2KzQ4LSw++1s3juAQAAAAAAUkZREwAAAABkEf3795ePj4/d+I0bN7R69WqH5lq7dq3hCebe3t4aOHCg0zl6kre3t9555x3t2LHDpRt9o6OjNW3aNFWvXl3du3fXuXPnXDZ3ZnL9+nW1adMmU2wizeySkpLUq1cv7du3z3DcpEmT1K1bN7fm8v777+u9995z6xpIvdjYWMN4ethQbZYjXMus2NlTHc/MirrTS5F2QECAevTokWIsPj7+L52OjDpwpsdrNLOuSF27dlWOHDlcumb9+vUNuxklJycbdrtCxlWuXDnD+IkTJyzKxH0ywmewlD4+hzPCY+Xqx8nbO+v952ErnkezNdL6PLZq1UoVKlSwG586dapD8yQmJhpeJwQGBpp2M0TapIeCTkcYFb5ZIT28P7t6DZ57AAAAAACAlPl6OgEAAAAAgDWKFi2qtm3bauXKlXbHzJo1Sx06dDCdy2gDjPTbZpuMelJ8w4YNtXXrVq1fv17Tpk3T8uXLXXJCqc1m03fffafVq1fr008/1ZAhQ1yQbeYRGhqq8+fPOzQ2W7ZsCg4OVp06dVSxYkWVKVNGRYoUUcGCBZUzZ07lzJlTvr6+8vW1/2eP8+fPq0yZMi7KPmsZMWKE4fuIJD377LMaOXKkW/PYsWOHU93VSpUqpXr16qlGjRoqV66cihUrpsKFCytPnjzKnTu3/P395efnZ1i8EBoaygZ3IA2M3pclKSEhwaJM/io+Pt4w7u/vb1Em5kJDQ+1uWp49e7aef/55xcfHa8GCBSmO8fb2Nu1QZLXLly9rw4YNhmOyZ8+uadOmuXztUqVK6ZdffrEbnzVrlsaOHevydeFZtWrVMjzM4fdOWBn1+wyAfzLqhGXVGmkt3vby8tKwYcM0atSoFOOHDx/Wrl27VL9+fcN5Vq5cqatXr9qN9+vXTwEBAWnKFcY8dc2b0SQnJxvG08PvtbN47gEAAAAAAFJGURMAAAAAZCGDBg0yLEZYtWqVbt++rQIFCtgdc+fOHa1YscJwncGDB6c6x/SiTZs2atOmje7evavly5frp59+UlhYmC5fvpymee/fv6+hQ4fqwoULmjBhgouyzdi+++47rV271nRcy5Yt9cwzz6ht27Zp7tbAqbOp8+GHH+rLL780HPPkk0/qs88+c2seNptNw4cPN93klC9fPj3zzDPq16+fKleu7JJ14bjs2bMbxqOiokw7OLhCZGSk3ZhZjnAts8fbUyeXm50Cn55eJ40aNVLFihV16tSpf8T27duno0eP6uTJk7pz506Kt2/RooVKlizp7jSdMnv2bNP386+++sqibP7qzJkz2rJli5o1a+aR9eEetWvXNh2zY8eODN2pxJHPYCsYfQZL6eP9leuVrOHevXtuX8Ps98oVz2NoaKjGjh1r99plypQppkVNU6ZMMYwPHTo01fnBMdmyZcswHXs8KVu2bIbx9PB77Syz+wQAAAAAAJBVeXs6AQAAAACAdZ588kkVLFjQbjw+Pl7z5s0znGP+/PmGHQ3y5s2rTp06pTbFdCdfvnwaOHCgvvnmG126dEnh4eGaNm2aBg4cqHLlyqV63nfeeUfTp093YaYZ11tvvWUYz5kzpxYsWKCffvpJXbt2TXNBk2S+wRL/9N133+nVV181HPPII49owYIF8vHxcWsuP/zwg44cOWI4pk2bNgoPD9eECRNcUtAk8bpxltkJ71ZsqH7w4IHhadicQm8ts/dve4U47nb79m3DeHp7nQwcONBubNasWZo1a5bdeGhoqOsTSiOjfNMDsw6lyHjq1atnOmbTpk3uT8SN0sNnsGR+7ZQe3l/Tw2PF9Yr7WfE8WlHUVKBAAXXv3t1u/NtvvzXM4+LFi1q3bp3deP369VWjRo005QhzZtfECQkJstlsHv8JCQmx5gGxIz0U6Lp6DbPnvm/fvh5/3m02m8Od1AEAAAAAAFyFoiYAAAAAyEL8/PzUr18/wzGzZ882jJttPO3du3emPkm6fPnyeuqppzRr1iydPn1aV69e1fz58zV48GAVLVrUqbmeffZZXbp0yU2Zul5cXJzL59y9e7dhcYqfn582btyoXr16uXTdu3fvunS+zG7Hjh3q37+/Yaei0qVLa+XKlcqZM6fb8zErCOzSpYvWrFlj2HUuNXjdOOehhx4yjFuxCc1sM3WhQoXcngP+x+w1cevWLYsy+Suzoqb09joZMGCAvL1T/tP+rFmz7G5WzpMnj7p06eLO1Jy2ZcsWnT592tNpGFq8eLGio6M9nQZcqGTJkqYFz450EU3PcubMaVgIk16KmtLD+yvXK1lDeih+cNV3k+HDh9uNxcTEaP78+Xbj06dPN+yOSJcma5i9Fsy6iGYV+fPnN4ynh99rZ/HcAwAAAAAApIyiJgAAAADIYgYNGmQY379/v90ik6NHj2rfvn1pmj+zKVKkiHr37q3p06fr119/1bZt2zRkyBCHugnFxcXp7bffdmk+RkUnaWW26Ts1li1bZhh/8803HTpN31me6gaSEYWHh6tDhw6Gm2vy5s2r1atXq3Dhwm7P5/79+9qwYYPdeJEiRTR16lS7G/7TgteNc8wKPc+cOeP2HMyKJZwtRkXaPPzww4ZxT50Ifu7cOcN4enudFC9eXK1atUoxdvv2bSUmJqYY6969u0u6HbpSRuiCFBMTo0WLFnk6DbhY+/btDePnz5/Xrl27LMrGPYzeu+Lj43X58mW355ARPoe5Xskarly54vY1rl69ahgvUqSIS9Zp1KiRYTelqVOnpvjvSUlJmjFjht3b5cmTx+WHiSBlJUuWNIzfuHHDokzSN7P3vvTwe+0snnsAAAAAAICUUdQEAAAAAFlMjRo1VLduXcMx9roxmXVpqlq1qoKDg1OZWcbn5eWlxo0ba8qUKTp//ryGDBliepvZs2crJibGqXV8fX3txu7fv+/UXM5wR0HHtm3b7MayZ8+u559/3uVrStLZs2fdMm9mc+vWLbVr186woM3f319LlixRUFCQJTnt2rVLCQkJduNPPfWU6YnOqZGUlKQLFy64fN7MrHTp0obxAwcOuD0HszVKlSrl9hzwP2ab+M6fP2/YPcAdEhMTTYupzPL2hNDQUEtu407R0dFavHixp9NwSEYovoJzOnToYDpmzpw5FmTiPnwOO4bHKWs4evSoWw8AkaRDhw4ZxkuUKOGytYy6Ne3fvz/Fw2jWrFljWMzYt2/fdFf8nFmVLVvWMO6pQv/0plixYoaHlRw+fNjtOZj9XjuraNGiht3tee4BAAAAAEBWRVETAAAAAGRBZt2U5s2b949T/hMTEzV37tw0zZuVPPTQQ5oyZYree+89w3Hx8fHasmWLU3Nny5bNbiwqKsqpuZzhjtPcjx8/bjf2+OOPK3fu3C5fU5K2b9/ulnkzk9jYWHXo0MH05PgZM2YoJCTEmqRk/JqRfutE4g5HjhzRvXv33DJ3ZlWtWjXDeHrYJFy9enW354D/MXtNxMbGmv6Ou9qxY8cUHx9vOMYsb0/o3LmzAgMDHR5frlw5NWnSxI0ZOW/RokVOF3Z7yrZt2xQeHu7pNOBCTZs2VYUKFQzHzJo1K0N3aeRz2DE8TllDdHS027tumRU/VKlSxWVr9evXT7ly5bIbnzJlikP/9mdDhw5Nc15wTO3atQ3jri6kyaiyZ8+uMmXK2I3/8ssviouLc2sOrn4uvL29VbNmTbvxS5cuZehrDwAAAAAAgNSiqAkAAAAAsqA+ffoYFsZcv35da9as+cu/rVmzRtevX7d7G19fX/Xv399lOWYWr732mpo3b244ZuvWrU7NabSJOTIy0qm5nOHqQqD79+/r1q1bduOu3PT1dzt27HDb3JmBzWZTv379tHPnTsNxEyZMUN++fS3K6jdG3ZK8vLzc1jGKQjjnGW3WkqR9+/a5fROa2fNmliNcq0qVKobdBiXp559/tiib3+zatcsw7ufnZ1knOmcEBASoR48eDo8fOHCgG7NJnRkzZhjGX3rpJdlsNst+OnfubJiPWcdSZCxeXl56+umnDcfExMTos88+sygj1zP7jHP3tc2VK1d07tw5u3F/f/908f7K9UrW4e4CNbP5q1at6rK1cufObfg9bMGCBX8pHP7111+1evVqu+ODg4NVq1Ytl+UHY/Xr1zeMG3W0zmqMCk+TkpLc2q0pMTFRR44ccfm8Zs8/f3sAAAAAAABZEUVNAAAAAJAF5cuXT506dTIc8/eNm2YbOdu3b69ChQqlLbFM6tlnnzWMX7161an5jB7nkydPOjWXo+Lj47V3716XzmnW9aZIkSIuXe93u3bt0s2bN90yd2YxatQoff/994Zjnn76aY0ZM8aijP7H6HWTL18++fv7u2XdlStXumXe3/n4+NiNJSQkuHVtdylbtqyKFStmNx4VFeXWx3X37t06deqU3Xi2bNlMN5TBtfz9/fXII48Yjlm7dq1F2Ti2XnBwsNveV9IqNDTUoXFeXl7prqgpPDzcdMNmv379LMrmN2ZFut98842Sk5MtygZWGDx4sGGnE0n68MMPdfHiRYsycq1mzZoZxn/66SfDQyvSyqzLb4MGDdLF+yvXK1nHkiVL3Db3yZMnDb+LV61aVXnz5nXpmsOHD7cbu3fvnhYsWPDH/58xY4aSkpLsjqdLk7Vq1Kihhx56yG58/fr1io2NtTCj9KtRo0aGcXf+Xq9fv17R0dEun/fRRx81jC9btszlawIAAAAAAKR3FDUBAAAAQBY1aNAgw/jKlSt1+/ZtSdLt27dNN3KZzZeVNW7c2DBu1K0oJSVLlrQbO3HihBITE52azxFr1qxx+aaa+Ph4w7hRkUdaZOQT963w3//+Vx9//LHhmMcee0yTJ0+2KKO/MnrduOs188svv2jdunVumft3Rpt6Hzx44Na13al169aG8Tlz5rhtbbO5GzdurICAALetj5S1adPGML5u3Tq3bB5Myb1797R+/XrDMWb5elKjRo1UsWJF03EtWrQwvHbwhJkzZxrGg4KCVKdOHYuy+c0TTzxh2A3z8uXLpq8XZCwFCxbUiy++aDjm/v37eu6556xJyEGOXheUL19epUuXthtPSkr6S9GDq5l9Dptt6rYS1ytZw/Lly3X//n23zD1v3jzDeEhIiMvXrFWrlmHB29SpUyVJycnJmj59ut1xuXPnVu/evV2eH+zz8fFRhw4d7Majo6Pd+v6ckbRo0cIwvnDhQretPX/+fLfM27p1a+XMmdNufNGiRaaHAAEAAAAAAGQ2FDUBAAAAQBbVunVrFS9e3G48Pj7+j/+AP3/+fMNCgkKFCql9+/YuzzGzKFiwoGE8Li7OqfkqVapkN+aOjkqSTItcUsNsc96NGzdcvuaVK1f03XffuXzezGLFihV64YUXDMfUrFlTixcvlq+vr0VZ/ZXR6+b27duGJ5Cn1hdffCGbzebyef8sd+7cdmNRUVFuXdudOnfubBhfs2aNLly44PJ1IyIiTDehmeUG9zDawCn9tonTXRsI/27u3LmKiYkxHPPkk09akktqOdKBydGOTlZJSkrSN998YzjGrGuSO2TLlk3dunUzHGNWjIWMZ9SoUcqfP7/hmBUrVuiTTz6xKCNj+/btc+owCbPPuqlTp7rl2mnLli06evSo4Zj09DnM9UrWEBMT45auLsnJyaYFKE888YTL15Wkf/3rX3Zju3fv1uHDh7V+/XrD12+fPn0MCyzgHmbXOpMmTXLLgTUZTd26dVW0aFG78XPnzpl2/0yNe/fuua1jUvbs2dW1a1fDtT///HO3rA0AAAAAAJBeUdQEAAAAAFmUt7e36UbYWbNmSTLfwNmvXz+PFThkBGadmIy6AqSkVq1ahnFXn+i7c+dObdmyxaVzSlK+fPkMXzd79uxx+ZojRoxQQkKCy+fNDPbu3avevXsbbmwtXry4Vq1aZViA424PPfSQ3VhycrL279/v0vX279+vKVOmuHTOlBjdr4sXL7plw7EV2rZta1jYGR8fr5deesnl644dO1Z37tyxG/f39+dEeg+pW7euqlatajhm4sSJpt380iouLk4TJ040HFO9enXLuwU565lnntGPP/5o+NO9e3dPp/kX69ev16+//mo4pk+fPhZl81dmG4yXLVumu3fvWpQNrBAYGOhQ8f6///1v08617rZs2TI1b95c165dc/g2/fv3N4wfP35c//3vf9Oa2l8kJSVpxIgRhmPq1KmjatWquXTdtOB6JesYP368y78PTp8+XWfOnLEbL1iwoNs6k/Xs2VP58uWzG58yZcofHZvsGTp0qKvTggNatGhh+D544sQJClv0298uza5lx4wZ4/J133nnHbd2j33++ecN4xMnTnRLMS0AAAAAAEB6RVETAAAAAGRhZif379+/X/Pnz9eBAwcMxw0ePNiFWWU++/btM4yXLVvWqfmaNm1qGP/22291//59p+a0Jzo62qEuEKnh4+OjUqVK2Y2HhYUpMjLSZevNnj1b33//vcvmy0zOnz+vJ554wrBjSZ48ebRq1SoVK1bMwsz+qVy5coZxV56+Hhsbq379+llSCFeiRAm7sYSEBIWHh7s9B3fw8/PT008/bThmyZIlWr9+vcvWPHjwoL766ivDMT169FCBAgVctiacY7Z59ty5c3r33XfdmsPbb7+tixcvGo4ZMmSIW3Nwhbx58+rRRx81/MmePbun0/wLs2L5Ro0aqUyZMhZl81fNmzc37GQaFxdnWScxWGfgwIFq166d4ZiEhAR169ZNa9assSir/4mPj9eLL76oTp06mXaX+7vatWurQYMGhmPGjRvn0g6pX375pQ4dOmQ45plnnnHZeq7A9UrWER4e7tJCkaioKI0dO9ZwTP/+/d12CEz27NkNv6/PmTNHK1assBuvW7duui/gzsxee+01w/jo0aPdcthLRmPWoXDz5s0u/VvP2bNn9emnn7psvpQ88sgjhsWO0dHR6t27t9Od3QEAAAAAADIqipoAAAAAIAsrX768mjVrZjhm2LBhhvHg4GDTjgvpUUxMjD788EOnNwamxuTJkw3jjzzyiFPzlShRQlWqVLEbv379ut555x2n5kyJzWbTM88849ZiiuDgYLuxBw8euOR+SNKBAwdMT4zPqiIiItSuXTtdv37d7hhfX1999913qlGjhoWZpczoNSNJ//d//2d4Xxxls9k0bNgwnThxIs1zOaJy5cqG8VWrVlmShzu89NJLypEjh+GYQYMG6cqVK2leKyIiQj179jTsbOXl5aXXX389zWsh9YYMGaKiRYsajpkwYYLWrl3rlvVXrlxp2qWpaNGiGaKoKaO5c+eOli9fbjimX79+FmXzT97e3qZdUcyKsjK78+fPy8vLy/DnzTff9HSaTps2bZoefvhhwzFxcXF68skn3b7R+c927typevXq6bPPPkv1HGYdLCIiItSnTx8lJiameo3f7du3T//+978Nx5QoUUIDBgxI81quxvVK1vHWW2/p9OnTLplr1KhRhkWBPj4+euGFF1yylj3Dhw+3G4uKijI8oMEdXZpCQkIMPyNKly7t8jUzqj59+hh+v42Li1O7du108OBBy3K6evWqdu7cadl6jqhVq5ZatmxpOObll1/W7du307xWUlKShg0bZkkx0UcffSRvb/vbdXbu3Knu3bu77NAiR2zevNmwgyAAAAAAAIC7UNQEAAAAAFmc2Ymn0dHRabp9epWQkKBXXnlFZcqU0fjx411SBJGSyZMnG57o7u/vr9atWzs9b48ePQzjH374obZt2+b0vL9LSEhQ//79NWfOnFTP4Yg2bdoYxj/99FOtW7cuTWvs3LlTbdq0UVRUVJrmyYzi4+PVuXNn08KdKVOmpOp16g6VKlUy7PB179499evXT/Hx8aleIyEhQYMHD9Y333yT6jmcVb9+fcP4F198Yfp+nF4VKlRIo0aNMhxz5coVtW7dWlevXk31OhEREXr88cd16tQpw3GhoaGGhaFwv4CAAP3nP/8xHJOUlKSuXbtq2bJlLl37hx9+UPfu3Q03kku/dS5Jbx2OMoN58+YZbhL18/MzvcZxt759+xrG9+3bp8OHD1uUDaxStGhRLVu2TAEBAYbjkpKS9NJLL6lt27Y6f/682/I5f/68Bg0apMaNG5t2PTLzxBNPmB5k8dNPP6lv375p6k55+PBhtWvXTg8ePDAcN2HCBPn5+aV6HXfheiXriIqKUseOHXXr1q00zfP5559r6tSphmMGDBhg+N3FFSpVqqQWLVo4fbtcuXKpT58+bsgIjvLy8tLkyZMN3xNv3bqlhg0batq0aW7N5cSJE3rmmWdUtmzZdHmghtl3h4sXL6pr166mn0FmXnzxRW3YsCFNcziqRo0apkWPK1asUP369XXy5Em35ZGUlKQlS5aoadOmCgkJoagJAAAAAAB4BEVNAAAAAJDFde/eXbly5UrVbbNnz256mn16d/PmTb355psqWbKkevbsqVWrVrnklPLExES9+eabevbZZw3H9ejRQ3nz5nV6/qeeespw40t8fLzatm2rzZs3Oz33iRMn1Lp1a82bN8/p2zqrc+fOhieiJyQkqGvXrlq8eLHTcyclJenDDz9UixYt/rFhzcfHx+n5MqPhw4dr06ZNhmPeeOONdFe8aLbhfMOGDercuXOqNiqePHlSTZs21axZs/4Rc+frpmjRooYbVy9cuKBHH300zRubPeX1119X+fLlDcccP35c9erVS9X71v79+1WvXj3t2rXLcFzBggU1adIkp+eH6w0bNsx0k/39+/fVuXNnPffcc4qIiEjTenfv3tWzzz6rbt26KTY21nBs8+bN3dK5ANKMGTMM44899pgKFChgUTYpq1mzpmkX0qzerSmzeuSRRzRv3jz5+vqajl27dq2qVKmiESNG6OLFiy7LYe/evRowYIAqVKigWbNmyWazuWTer776Sv7+/oZjFi1apBYtWujChQtOz79gwQI1adLEsGONJLVo0SJddmn6HdcrWcfx48fVvHlznTlzxunb2mw2vfPOO6bFCDlz5nRZ52Ez//rXv5y+Te/evVP9tyC4Tt26dfX2228bjomNjdWQIUPUtWtXlxZWR0ZGasaMGWrRooWqVKmiyZMnm14ne0rz5s3VuXNnwzGbN2/WY489pps3bzo9f3x8vIYMGaL/+7//S22KqfLee++pZs2ahmOOHj2qRx55RBMnTlRkZKTL1j5x4oTGjh2rMmXKqEuXLmk6GAkAAAAAACCtzP/LDAAAAAAgU8uZM6d69Ohhusk0JZ06dUpVQU56FB8fr0WLFmnRokXKmzev2rZtq8cee0xNmzZV2bJlHZ7n2rVrWrp0qSZNmqSzZ88ajvX39zc9bdae4sWLq1+/foabaqOjo9WyZUsNGjRIb7zxhuEJ0TabTfv27dPXX3+tmTNnptjB4vnnn9cXX3yRqnztyZs3rwYPHmy4cSQmJkY9evRQ165dNWrUKDVo0MBwzqioKC1atEiTJk2yewL666+/rgkTJqQp98xg48aNhvGSJUuqZMmSbj8V+ndFixZV+/btTcc9++yz+uijjwy7faxevVrVq1fXa6+9pkGDBilPnjyGc+7bt09ffvmlvvnmmxQLGytWrKiaNWumqsDOUT179tS4cePsxnft2qVatWqpSpUqeuSRR1S+fHnlyZNHOXLkkJeXl93btW/fXkWLFnVHyg7Lnj275s+fr6ZNmxo+b5cvX1ZISIh69uypkSNHKjg42HDeY8eO6ZNPPtGsWbNMO+94eXlp1qxZHi+YwG9+fz7q1atnWIBos9n03//+V3PmzNGgQYPUu3dv1atXz/A1/+fb7t69WwsWLNCMGTN0794909sULFhQs2bNcmh+OOfgwYM6ePCg4Zh+/fpZk4yJfv366fXXX7cbnzdvnj744IN02W0GadO5c2ctXrxYPXv2NO36+ODBA33xxRf68ssv1aJFC/Xs2VOtWrVSmTJlHF4vPj5eu3bt0k8//aSFCxfql19+SetdSFFQUJAmTZpkWoSxfft2BQUF6fnnn9ezzz6rkiVL2h1rs9m0YcMGTZw40fSaUvrt/XX27NlO524lrlcyr1q1av3jM+j48eOqW7euxo8fr+HDhytbtmym8xw9elQvvviifvrpJ9OxH3zwgWXX4J06dVKRIkV07do1h29DAXf68eqrr+rw4cOaP3++4bgffvhBP/zwg1q3bq0hQ4aoWbNmKly4sMPrxMXFaf/+/dq2bZvWrl2rbdu2panDsdU+++wzhYWFGR52sHXrVtWsWVPvv/+++vbtK29v8zN+N2/erBdeeCHFA0RSeu9wpWzZsmnp0qVq1KiRYRfAmJgYvf7663r33Xf19NNPq0uXLgoODnbofet3N27c0M8//6ywsDCtWbPGbdccAAAAAAAAqUFREwAAAABAgwYNSlVRU3rr3uIqERERWrBggRYsWCBJKlCggKpWrapy5cqpWLFiyp8/vwICAmSz2RQTE6PIyEidPn1ax48f15EjRxw+UX38+PGqUKFCqvN855139N133xlu0k5OTtb06dM1ffp01axZU02bNlXhwoVVoEAB3bt3Tzdu3NDly5cVFhZmeLL6c889py5duri8qEmSxo0bp3nz5unu3buG477//nt9//33Kl26tBo1aqSKFSsqX7588vf3V3R0tC5cuKCDBw9q9+7dhhtzOnbsqKeeeoqiJgdcvHhRQ4YMsWy95s2bO1TU9PDDD+uVV14xfQ6vXbumF198Ua+99pqCg4MVHByswoULKzAwUPHx8bp165ZOnTql7du369KlS3bn8fPz05w5c/Tll186fZ+cMXz4cE2cOFEPHjwwHHf8+HEdP37c4XnDwsI8XtQkScHBwfryyy/11FNPmY799ttv9e2336pUqVJq2rSpKlWqpPz588vLy0uRkZEKDw/X9u3bndqINX78eIdeX7BOmTJltGTJEj366KOGm8el3wpWP/vsM3322WfKnz+/6tatq4oVK6pYsWLKnTu3/P39FR8fr+joaF2+fFnh4eHau3ev7ty543A+2bJl05IlS1S6dOk03jOkxKy7Ue7cudWhQweLsjHWp08fjR492u413c2bN7Vy5UrTjgHImDp16qTly5erV69eDnWJS0pK0oYNG7RhwwZJUpEiRVS9enWVKVNGxYsXV86cOZUjRw4lJSUpOjpakZGROnfunMLDw3Xs2DHLumKMGDFCe/fu1Zw5cwzHPXjwQB988IEmTZqkWrVqqV69eipXrpxy586txMRE3b59W8ePH9emTZtMOzP9zs/PTwsXLlSJEiVccVfciuuVzKljx44qXbq0li5d+pd/j4yM1Isvvqh3331Xffr0UevWrVWtWjU99NBD8vf3171793TmzBn9/PPPWrJkiUPFTJLUrl07PfPMM264Jynz8/PT4MGD9e677zo0vnbt2nrkkUfcnBUc9Xsx4507d7R27VrT8T/++KN+/PFHSb8dvhEcHKyHHnpI+fPnV/78+eXr66vY2Fjdu3dP165d0+XLl/XLL7/ozJkzSkhIcPfdcZsSJUro66+/Vs+ePQ3HXb16VQMGDNC4cePUu3dvtWzZUkFBQSpQoIB8fHwUERGh8PBwbdu2TYsWLdLevXtTnCdPnjz64osv1LRpU3fcnT+ULl1aa9asUcuWLU2/u9y7d0+ffPKJPvnkE2XLlk316tVT5cqV/3juAwMDlZSUpNjYWN2+fVvXrl3TuXPn9Msvv+jKlStuvR8AAAAAAABpQVETAAAAAEBNmjRRhQoVFB4e7vBtSpQooUcffdSNWaUft2/f1pYtW7RlyxaXzdmnTx/9+9//TtMcRYsW1Zdffqn+/fs7NP7QoUMpnjxr5sknn9Qnn3yibdu2OX1bRxQsWFBTpkxR9+7dHRp//vx5nT9/PlVr1alTR3PmzNHt27dTdXukH2+88YbWrFmjffv2mY6NjY3V1q1btXXrVqfX8fLy0owZM1SvXj23FzUVKlRIY8eO1ZgxY9y6jicNHjxYd+/e1ahRoxwaf+HCBV24cCHN67788st644030jwPXK9JkyZatWqVOnXqpOjoaIduc+fOnb9s5nSFXLlyaenSpWrSpInL5sT/xMfHa968eYZjOnfurICAAIsyMlayZEk1adLE8HNj5syZFDVlYo899pj27dunbt266cCBA07d9tq1a051S3GGt7e3mjdvnurbz5gxQ9HR0VqyZInpWJvNpgMHDjh9///O19dX3377rVq1apWmeazE9Urm9NVXX2n//v26ePHiP2I3btzQp59+qk8//TTN61StWtW04447DB06VBMnTlRycrJDY5G++Pn5afny5QoNDXXq9XPq1Cm7Haozox49eujQoUMOFfCdO3dO7777rsPFfn/39ddfq3jx4qm6rbNq1qypbdu26fHHH0/xPSolcXFxqf47BwAAAAAAQHpj3m8bAAAAAJAlONt1aeDAgfL25mtlagwaNEizZ8+Wl5dXmufq16+fXnnlFRdklbI2bdpo0aJF8vV177ko3bp109tvv+3WNapVq6bVq1crd+7cbl0H1vD399fSpUtVqlQpt63h7e2tzz77TP369XPbGn/32muvZfpN8iNHjtTXX38tPz8/t6/l5eWlCRMm6KOPPnL7Wki9Vq1aafPmzSpXrpxH1i9fvrw2b96coTbcZzTLly83LSi28r3WEWb5rFmzxm2FKxmdK65x04OyZctq586dGjNmjLJly+bpdNSwYUPt2rVL48ePT/UcvxcYPf300y7MzL7AwEAtX748Q17bcL2S+RQuXFgrVqxw6/fBcuXKafXq1QoMDHTbGvaUKlVKbdu2NR2XM2dO9e3b14KM4Cw/Pz/NnTtX77//viXvPRnVhAkT3N5R+s0331SvXr3cusbfBQUFadeuXWrdurWl6wIAAAAAAKQH7D4DAAAAAEiSBgwYIB8fH4fHh4aGui+ZTKpgwYKaNm2aZsyY4dIioQ8++CDNXZ9SMnz4cK1atUrZs2d3+dwpGTt2rCZPnix/f3+Xz92uXTvt2LFDhQsXdvnc8JzixYtr+/btatSokcvnzpUrl3744Qc9//zzLp/biLe3txYvXqxXXnnFqffkjGbo0KEKCwtzaxFL0aJFtWLFikzd+SozqVOnjg4ePKihQ4daVjTt7e2toUOH6sCBA6pTp44la2ZVM2fONIwXKVJELVu2tCgbx3Tv3t3wmiQxMVFz5syxMKP04ezZs6ZjMlM312zZsmnChAk6cuSIOnTo4JGCrXr16mnVqlXasWOHHnnkkTTP5+fnp6lTp2rKlCluLe4IDg7Wrl27HCqySK+4Xsl8atSoobCwMBUqVMjlc9eu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width=\"568\" height=\"320\"/></td></tr></table>\n",
       "        <h4 class=\"dist-qq\">&#183; Q-Q Cross Fit</h4><table style=\"align: center;border: 0px;text-align: center;border-collapse: collapse;table-layout:automatic;width: 100%;margin: auto\"><tr><td style=\"align: center;text-align: center;padding: 15px;\">Batch0-1</td></tr><tr><td style=\"align: center;text-align: center;padding: 15px;\"><img 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M2bM0CuvvKKqVasWea2//vpLs2bNsjpm5MiRRV6HPRUNewLMW7n/jBbuOunSNRbEn1TfFtXUvUEVl64D2yUlJWnp0qUm7bfeeqsiIiIKnV+vXj21bdtWW7ZsKdA+d+5cffTRRzb/Qjg7O1vz5883ab/xxht199132xQDntWlSxcZDAYZr7uTy65du1xyl1YAAAAAjsnJ88yd97Jz8yV+LAAAAMVcdna21X4fH9e/1cKWNQrLEwAAAADcLSNHmnHQS4dSvTydCgCrjPJXjmoazmqCT6w6eP/h6YTgZv5y700bSyP+p0OZMmzYMKtvJs/MzNRLL73klLVefPFFq3dMq1KlioYNG1bkddhT0bAnwLypq4+6Z5017lkHtpk7d66yskxPQxs+fLjNMcyNTU5O1s8//2xzjA0bNig9Pd2k/ZFHHpHBwJ1wSgJ/f3+TE8yys7N16NAhD2UEAAAA4O98vT3z85WfD7+WAAAAxR/FWAAAAABgmz1JBn28x1svxXnrxThvvbzNh0IswKWM8le2KitZtQ2n1NRwVO299qqX11bd47VWw71/1ePeP+sln7ma6POlPvadpC9839N3fm9oid8/tdbvKe3wf0QH/YfrQLmRWu7/AoVYZZSPIV8GY56n0yjROBkLZUq5cuX01FNP6ZVXXrE45uuvv1a/fv2KdPLGvHnzNGfOHKtjnn76aaecDMGe2NP13LknlF77T6cq7liSW9aKS0jSgdNpqh8Z7Jb1YN3MmTNN2kJDQ3XXXXfZHGPw4MF65plnTH4BPGPGDA0aNMimGJaOSu/Zs6fNecC58vPzdeTIEe3fv1/JyclKS0tTWlqacnIs3x0jL8/0B7WLFy+6Mk0AAAAAdgjy91FoeV+lXHLfXe9Cy/sq0M/bbesBAAA4Kj8/32q/t7frv6exZQ1zr8MW1ejRozVw4EC75hw+fFj9+vW79jgmJkYNGzZ0cmauk5GRUeB3EzExMQoMDPRgRgAknptAccVzEyie3PHczM7N1/ojSdp+PFWXc678LLIxIVknki3fOB5A0UToorp471JXr3g1NiQq1JChIF2Sr4ECGjhH104dJN8AT6dRYlGMhTLn6aef1tSpU3X8+HGLY0aMGKEbbrhBMTExdsffvHmzHnzwQatjatWqpaeeesru2JawJ/YkeWZPKJ0Wxp9073q7Tuj5yAZuXROmfv/9d+3YscOkfeDAgSpXrpzNccLDw9W7d2/Nnz+/QPvy5ct14sQJ3XDDDYXG2Lt3r0lb+fLl1bRpU5vzQNGdOXNG3333nb7//nvt3LlTGRkZRY6ZnJxc9MQAAAAAOIXBYFCTG0K04fAFt63Z9IZQTjwGAAAlQmGnUuXm5ro8B1vW8PX1dfq6ERERioiIKFKMoKAghYSEOCkj9wsMDCzR+QOlFc9NoHjiuQkUT858bublGzVz4zHN2Jig40mXnBKzKAa1rqE7m1f1dBqAzTIzMxUfv+va4xYtmisgwHLxi1/maVU9NFfhJ1Yq6OI+d6SIYibP21/53v4yevkp39tf+Vf/vNZ29cNf+V7+Mnr/r//qWON1c/K9/ZTvdeXPa2O9/GT0LqeWFSpLXtxI0VEUY6HMCQgI0Icffmj1bl5paWnq1auXZs+erTvvvNPm2AsWLNDw4cOVnp5uddwHH3yg8uXL2xy3MOyJPXlqTyiddv2V7N71jqe4dT2YN2PGDLPtw4cPtzvW8OHDTYqx8vPz9fXXX+uf//xnofPNFa3Wq1ev0F9+wzkuXryol19+WdOnT3f6XVVTUni+AwAAAMVJ8+phbi3Gal4j1G1rAQAAFIWfn5/VfncUY+XkFH6CaWF5AgAAAICjsnPz9dWGBE1ZdVipl13/M9D1+raoJj9vrwJt1cLK65ZGVdTkBl5nRsmSmpqqy8eM1x63r13BtFgyL1fKPC8dWi4tfMLNGZZiXr6Sl89/P7wl7789vvZ33789dmC8t4/kU17y8ZN8ykk+/pK3/3///vc2//89/nubt6+8DQZRHlUy8I5WlEkDBgzQkCFDNGfOHItjUlJSdNddd+nee+/Va6+9pgYNLJ/a8scff+iNN97Qd999V+ja9913n/r37+9Q3tawJ/ZUGFftCaWL0WjUnhOpbl3z9xMpMhqN3Bnbg3JycjR79myT9tq1a6tjx452x+vdu7cqVqyoCxcKvqFv5syZNhVjnT9/3qQtLCzM7jxgv3Xr1ql///46d+6cS+K74w0KAAAAAGx3V4tqmrL6iPvWa174ackAAADFQWEnTmVnZ7s8B4qxAAAAAHjCpiMXNHXNEa056Nz3jvj7eFntD/L3UUztcL3ep5GqhnLDeZQCudlSxjl5nU1QRMoulctNkX9OivxXr5GyU6SMs1L6uSt/ZiZJMhYa0m2qNJV8y5sWIXlbKFr6e9GT1fHmPryvG//3widbxpsrlrL+NQdwBoqxUGZNmzZN27dv14EDByyOMRqNmjNnjubMmaOWLVuqQ4cOql27toKCgpSWlqaEhARt2LBBu3btshjjeg0aNNDUqVOdtQUT7Ik9WeLqPaH0SM/KVcqlwn+550wpl3KUkZ2nIH++LfGUxYsXmy2+GTJkiENFcr6+vho8eLAmT55coP3AgQPauHGjOnToYHX+pUumR5pTjOV669at0+23366MjAxPpwIAAADATRpEhigmKlxxx5JcvlZM7XDVjwx2+ToAAADOEBQUZLU/PT3d5TmkpaVZ7TcYDAoICHB5HgAAAABKp6zcPC3be0Z7TqYoN+9KEci2Y0na9VeKU9dpX6eiptx3kyoEcjMJlBGndklr3pUOr5ByLytIUvsC/R7KqzA+5aW2o6Su/5R8y3k6G6BE4F3PKLOCgoL066+/qlOnTjp+/Hih43fu3KmdO3c6vF7NmjX166+/FvrCfVGwJ/Zkjjv2hNIjJ88zd1fIzs2X/D2yNCTNmDHDbPuZM2c0ceJEh2KmpJh/YWbGjBmFFmOZw8lprpWWlqZBgwZZLMSqU6eOunfvrvbt2ysqKko1atRQhQoVVK5cOZUvX17e3qYHI0dFRSkxMdHVqQMAAAAooke71lFcrOuLsR7rUtflawAAADhLeHi41f7U1FSX51DYGqGhoWZfmwUAAACAwqRn5Wr4l1u0489kp8ce2SFKHepWlCTVqRykOpUC5eXF+35QBqSdkX59Wdrzg2fW9wuS/IP/+xFi/u/lLLT7B0vBVa+cNAXAZhRjoUyrVauWVq5cqdtuu01Hjhxx2To33nijli5dqpo1a7psjavYk+PYEyD5envmB1+/Qo6hhuucPXtWS5YsMdv3xRdfOH29efPm6dNPP1X58paPEzfXl5yc7PRc8D8TJ07UqVOmt12pW7euPvvsM9122212F8RlZ2c7Kz0AAAAALtS9QRXd1byaFu466bI1+raopm4NIlwWHwAAwNkqVqxotd8dr1kXtkZhOQIAAACAJd/G/VmkQqy6lQPVoGqIrn8nSc3wAPVtcYPqRwYXOT+gxMlMkqZ3l1L/ck38SvWl6Fukai2lcmGmxVV+QZIXN2wB3I1iLJR5N954o7Zu3ap7771Xv/76q9Pj33bbbZo7d67CwsKcHtsS9mQ/9gRcEeTvo9Dyvkq5lOO2NUPL+yrQjx8EPGX27NnKzc1123qpqan68ccfNXToUItjKlWqZNJ28eJFV6ZVKjj675iXl6cvv/zSpL1+/fratGmTKlSo4FBc/s0AAACAkmPCXY21JeGCzqRmOT12lRB/je/T2OlxAQAAXMnc69TXO336tMtzKGwNirEAAAAAOGLpnlOauHifQ3N7N6uqMd1vVIPIECdnBZRw6z90TSFW+XDpgV+lyvWcHxtAkXEMBSCpQoUKWrp0qWJjYxUR4Zw7tEZERGjmzJn65ZdfPFIMw55sw56AggwGg5rc4N4flpveEGr3iTtwnhkzZrh9zdjYWKv95k7zO3TokFuLxlzJy8v8t+D5+flFipuUlOTQvE2bNunChQsm7VOnTnW4ECs9PV2XL192aC4AAAAA96sQ6KeZD8QotLyvU+OGlvfVzAdiVCHQz6lxAQAAXM3c69TXO3PmjMtzKGyNWrVquTwHAAAAAKXLp78d0qOzd9g977bGkdr6Sk9NHnIThVjAVRnnpT8WSAuekDZ+5sTABimkutT2MemZvRRiAcUYJ2MB1xkxYoQGDBigmTNnatKkSdq3z/7q/0aNGunxxx/XyJEjFRAQ4IIs7cOezGNPgGXNq4dpw2HTwgyXrVcj1G1roaBt27Zpz549bl935cqV+vPPPy3+MrtJkyYmbZmZmdqzZ49atGjh4uxcLzjY/HHs6enpRYp77tw5h+Zt27bNpK1mzZrq2rWrw7ns2GH/C3cAAAAAPKtBZIi+G9VOI76Kc8oJWVVC/DXzgRh+MQ8AAEqkqKgoq/2JiYkuz+HYsWNW+2vXru3yHAAAAACUPJdzpcPnMhR0qeDNsb/fdlzT1yXYHW9017p64bYGzkoPKPn2L5bW/J90apfNU/LlpWyfEF32DVFQRJR8QqtJQZWlwAgpKEIKrPzfPyOkgIqSNyUeQEnAMxUeU9gbfD31ZuvAwECNHj1ao0eP1sGDB7V06VLt2LFDe/fu1YkTJ5SWlqbMzEwFBAQoODhY1atXV6NGjXTTTTfp9ttvV3R0tEfytoY9sSfAHne1qKYpq4+4b73mN7htLRRk6YSqpUuXqm3btgoODpa3t3eR1tiwYYM6duxYoM1oNGrmzJl67bXXzM5p27at2fYVK1a49fsDcydYGY3GIscNCTH/RkRHT7aSpKysLP3+++8OzTV3d9XGjRs7nIskbdy4sUjzYZ2l09WMRiMnDQIAAKBIGkSGaOlTnTV+0V4tiD/pcJy+LappfJ/GnIgFAABKrMIKnU6dOqWMjAwFBga6LIfDhw9b7acYCwAAAMD1LudJsw95ac9Fg4xbHbuJbq2KAYqOCJIkVQ4up16NqqhbgwhnpgmUXDmXpeWvS3HTbJ/T+0Ol1eyhlZt2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width=\"568\" height=\"320\"/></td></tr></table>\n",
       "        <h4 class=\"dist-norm\">&#183; Q-Q Fit Norm &amp; Histogram</h4><table style=\"align: center;border: 0px;text-align: center;border-collapse: collapse;table-layout:automatic;width: 100%;margin: auto\"><tr><td style=\"align: center;text-align: center;padding: 15px;\">Batch0</td><td style=\"align: center;text-align: center;padding: 15px;\">Batch1</td></tr><tr><td style=\"align: center;text-align: center;padding: 15px;\"><img 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XpdccsnuCUeSLBuPwsPDddBBB+nmm2/W008/rTfeeEPXXnvt7mP94dRTT1VkZKTxnJ9//rlfrgEAAAAACHIlJdKZZ0pNTeb6736nt4Zcr9dftzdWez3wAM1HAAAAgFOCvgGpurpav/zyS6u15i/qjjzySIWFhdaN2uHh4TrqqKNaPVmw+Uu+VatWqba21qloAAAbVdU1GNe7QwNS0eaN8njMH1SmZo60OQ0AAM5I7DdQ0XHxxlpQNCAlmRuQCkprVN9o8YUjAAAAOqSqqkrTpk1TXV2dsfmo+e+DBw/WE088oZKSEi1cuFD33nuvLrnkEp166qkaO3asXzMlJCTokEMOMU5W+uKLL/x6LQAAAABAEPJ4pEsvlXLNDxVV375adPk/NPX04LytMCxMuvFGp1MAAAAAPVe40wHasm7dut0NRy2fEChJhx9+uIPJOu+II47Qa6+9JkleTz1cu3atJk6c6GQ8AIANrCcgBf1Lc5sKc9Yb1yOjY9V3QKrNaQAAcIbL5VLKkBHKXrXUq2b1WmmnwX3jjOuNHo/yS6o1pJ+5DgAAgPabOXOmNm/e3Oo7gJZ/DgsL05133qkbb7zR1oetHXPMMfryyy93/735+5fFixdr586dio83N9IDoaKhoUEbN25UTk6OKioqtHPnTkVHRyshIUEpKSkaNWqUYmPND2UIVuwpNHTHPQEAgG5o7lzpjTcsyxWPvKBDp6fZGKhjbrvN6QQAAABAzxb0dznvOf2opYMPPtjGJP5zyCGHWNbWrFlDAxIA9ADWDUihPwHJ6qbqlMHD5XIH51OSAAAIhJTBFg1IQTABaUBClKLC3apt8J52tLm4igYkAACALtq6daueeOIJy+ajPn366J133tGhhx5qe7aW31G0zNXY2KgVK1bowAMPtD0T0FUrVqzQO++8o48++kjLli1TXV2d5bEul0sjRozQMccco5NOOkm/+93vWj0AMViwJ/YEAADgdxs2SFdeaV2/+GId+ODJ8vGWxlGxsdLttzudAgAAAOjZgr4Bae3atbv/3PID2OjoaI0YMcKJSF02bNgwRUdHq7a21utD5Zb7BQB0X1V1Dcb17tCAVJC9zriekhmar9sAAHRW8pDhxvUdW/JUW12lqBjnnnrsdrk0qG+s1m/d6VXbVFzlQCIAAIDu5YknnlBNTc3u6UItm48iIyMdaz6SpMmTJysiIkINDQ1e31GsWbOGBqQeIicnRz/++OPun59++kmlpaU+f8fj8dgTrgM+/fRT3X///fr666/b/Tsej0fr1q3TunXr9Pjjj2vkyJG69tprNWPGDFunkVlhT7uwJwAAAD+rr5emT5cqK831UaN0Vf3ftWqVvbE6YtkypxMAAAAACPoxBPn5+a3+3vzlxpgxY0L2iVBut1tjxowxflGTl5fnQCIAgN2sJyAFfW+wT3W1NdpRaH4tSxlCAxIAoGexfO3zeFSUm2VvGINBfc0NUJt3VAbljYUAAACh5JVXXvH6DqO5EemRRx5xrPlIkiIjIzVs2DBjbc2aNTangR3y8vL073//W7feequOOeYY9e/fX5mZmZo6daoeeOABffHFF202HwWb/Px8/d///Z+OOeaYDjWAmKxbt06XXXaZ9tlnH/3www/+CdgJ7Mk39gQAANBFt98uLV5srkVE6LnDXtMTs+PszdQB990nheizygEAAIBuJegbkLZu3eq15nK5NGjQIAfS+M/gwYON66b9AgC6H+sGpNB+ymHR5o3yeJqMtZQhI21OAwCAs/r0T1FUjPnLusKc9Tan8TYoydyAVFnXqOLKOpvTAAAAdB9Lly5VTk6OpF+bjlo+XO3SSy91MN0uo0aNMjad04AU+oqKivTBBx9o5syZOuGEE5ScnKyMjAydfPLJuueee/Tpp59q+/btTsfskgULFmjy5Mn617/+5dfzLl++XFOmTNHTTz/t1/O2B3tqP/YEAADQCV9/Ld1/v2V58cn36pJn9rYvTwedcYZ0881OpwAAAAAgSUE/ZsGqISc5OdnmJP6VkpJiXC8qKrI5CQDACVV1Dcb1UG9AKsheZ1yPiolV3wHm1z4AALorl8ullCHDlfPLcq9aMDQgZfSJlUuSadbR5uIqJcVH2R0JAACgW5g/f75x3eVy6fbbb/eajOSE9PR0rzWPx6OCggIH0sCfjj76aC1f7v1vkO7i3Xff1dSpU1VfXx+Q89fX1+vyyy/Xpk2bdL+PGzT9iT11HHsCAADogOJi6eyzJcNDKCSp6qAj9Js3rrM5VPudeqr02mtOpwAAAADQLOgnIG3bts34ZVyoNyANHDiw1d+bn4C4bds2hxIBAOzS5PGo2nICUtD3BvtkdTN1ypARcrmD/m0HAAB+lzx4uHF9y6YNNifxFh0RpoEJ0cbapuIqm9MAAAB0H4sXL97955bfb0RGRuqEE05wIpKXPb9jac5ZXl7uRBygXT777DOdfvrpAWsAaemBBx7QXXfdFfDrsKeuYU8AAABt8HikSy6R8vLM9aQkTVgyV54gvYXwtNOkN990OgUAAACAloLzXw8tVFZWGtdjY2NtTuJfcXFxxnWr/QIAuo/a+ibjpAEp9CcgWTYgDR5hcxIAAIJDyhDza+D2glzV1dbYnMbboCTzv60376ABCQAAoLM2btzY6u8ej0cul0tTpkxRTEyMQ6la69Wrl3G9oqLC5iRA++Tk5Oi0005TbW1tm8dOmDBBDz74oL7//ntt375d9fX1Ki0t1YoVK/T888/riCOOaNcksr/+9a969913/RHfiD2xJyuB3hMAAOhBZs+W3nrLsjxz8EvKqkm1MVD7nXyy9M9/Op0CAAAAwJ6CfsyC1Ye50dHmpzSHCqv87fnwGgAQ2qrqGixroTwBqa6mWtsLc421ZIubrwEA6O6sJiB5PE3ampul9OFjbU7U2uC+sfpvdrHXelF5jWrqGxUdEdrN0QAAAE7YvHmz8QbzsWOdfe/XktV3FDQgIRg1NDTo9NNPV2lpqc/jBg4cqFmzZmnq1KletcTERCUmJmr8+PG66KKLtHjxYl166aVasmSJz3Oef/75WrZsmQYNGtSVLXhhT+zJqT0BAIAeZN066aqrLMs5x1yqOz45ycZA7XfqqUw+AgAAAIJV0E9A6q4NSFFRUcZ1GpAAoPurrGu0rIXyBKQtmzfuGuFukJpJAxIAoGdKGpimyGjzlCGryYF2GtTXnM0jKbeEKUgAAACdYdXEM2DAAJuTWGtoMD8gp6bG+SmdsN+QIUN01FFHOR3D0hNPPKH//ve/Po+ZNGmSlixZYmwAMdlvv/303Xffadq0aT6PKykp0TXXXNPeqO3GntiTU3sCAAA9RF2dNH26VGX+nL9m6BiN/eRhm0O1zzHH0HwEAAAABLOQbUByu4M+uk+mpx9KNCABQE9gNQHJ7ZKiwkP39a0we51xPSomTn0GBOfYdgAAAs3ldit58DBjrXDTBpvTeOsbF6k4iwbozTtoQAIAAOiM6upq43pSUpLNSawVF3tPwZRC/+FvaFtGRoZOPvlk3X333frkk0+0fft2ZWdn69lnn3U6mtG2bds0c+ZMn8cMHz5cn332mVJTO/YZZFRUlF5++WX9/ve/93ncv/71L33++ecdOrcv7Ik9ObUnAADQg/z1r9JPPxlLnshIHbJpnqplfkCZk0aOlD7+2OkUAAAAAHwJ+rucGxt3TYnwWExU6A5a7q2pqcnBJAAAO1RZTECKjQy3bFANBYU55puoU4aMCOl9AQDQVSmDhxvXg2ECksvl0qCkOGNtczENSAAAAJ0RGRlpXLeajOQEqwakmJgYm5MgkFJTU3XSSSfpzjvv1IcffqitW7dq8+bNeuedd/SXv/xFRx99dFA1xpk89NBDKisrs6xHRkbqjTfeUP/+/Tt1/rCwMM2dO1dDhgzxedxf//rXTp3fhD11HHsCAADogC+/lB580LL8ZPr9+qlxL/vytFN4uPTdd06nAAAAANCWoG9AAgCgu7FuQDJPHwgVBTnmCUgpQ0bYnAQAgOCSbPFauC1/k+rrnJ+CO7iv+SmHm4ur1NSNHwYCAAAQKHFx5gZvq6YfJ2zbts243q9fP5uTwN+uuuoqvf/++yosLFR+fr7effdd3XbbbTruuOM63SjhlPLy8jYnM11zzTXae++9u3SdxMREPfbYYz6P+f7777VgwYIuXUdiT13BngAAANphxw7p7LMli8/2Cyccpauz/mhzqPZZskQK8ucjAAAAABANSAAA2K6qrsG4HsoNSLXVVdqxJc9YSxlinvoAAEBPYTUBydPUpK152Tan8TbIogGptqFJReU1NqcBAAAIfVYTZYqKimxOYm3x4sWtJlZ7PJ5d0zEHDXIwFfzhwgsv1AknnKDk5GSno3TZ3LlzfU6g6d27t/7yl7/45VonnXSSpkyZ4vOYxx9/vMvXYU9dw54AAAB88HikGTOkggJzvV8/Hbh2jjxBeLvgAw9IEyY4nQIAAABAewTfvygAAOjmrCcghducxH+KNm+0fIpSSuZIm9MAABBcklLSFREZZawV5qy3OY23tD4xCmtx82lLecXVNqcBAAAIfZmZmfLs8TmJx+PRokWLHErU2tatW7Vu3a5J1nvmzMzMdCISYPTyyy/7rF988cVKSEjw2/X+9Kc/+ay///77PptS2oM9dR17AgAAsPDCC9K//mVZfuv42dpUl2JjoPbZay/pxhudTgEAAACgvWhAAgDAZtYNSKE7AanA4ubp6Nh49ekffB9iAgBgJ7c7TAMHDTPWtuRssDmNt4gwt1J6Rxtrm0uqbE4DAAAQ+oYP/3UCZvNkIUlas2aNduzY4VSs3ebPn29Zmzx5so1JAGvr16/X4sWLfR4zY8YMv17zxBNPVEqK9WeZtbW1evvttzt9fvbkH+wJAADAYO1a6ZprrOtXXKGpc0+wLU57uVzS5587nQIAAABAR9CABACAzarqGozrodyAZDW9IWXI8N032QAA0JOlDBlhXC/c5HwDkiRl9I01rucW04AEAADQUQcccIBl7f3337cxidnzzz9vWfvNb35jYxLAWlv/t7LPPvu0avbzB7fbrdNOO83nMV35v2H25B/sCQAAYA+1tdK0aVKV+fP8htHj1H/O32wO1T7ffCMlJTmdAgAAAEBH0IAEAIDNqi0nIIXbnMR/CrPXGdeTLW62BgCgp0kZbL45aWtejhrq62xO421QH3MD0raKWtXUm9+7AAAAwOzggw82rns8Hj300EM2p2ltxYoV+uyzz+RyuVpNZ5KkgQMHauLEiQ6mA371eRuPQT/++OMDct22zvvVV1+psbFz/0ZiT/7DngAAAFq49VZp6VJjqSkySvutm6ftlTE2h2rbffdJU6Y4nQIAAABAR9GABACAzaosG5BCcwJSbXWVdhTlG2tW0x4AAOhprJpymxobtC1/k81pvFlNQPJIyiuptjcMAABAiBs8eLAmTZq0u8GnZaPPL7/8onfffdexbHfccYfXWnO+E0880YFEgLeGhgbNnz/f5zFHHHFEQK49ZcoURUdHW9bLysq0ePHiDp+XPfkXewIAAPifzz+XfDzo4tq6B7SsKfgeNHHkkdLNNzudAgAAAEBnhOyohe+++07h4SEbX999953TEQAADqmqazCuh2oD0pbNGyWPx1hLHTLS5jQAAASn/qmDFB4RaZx2VJiz3vGm3T6xEYqLDFOloVF6c3GVA4kAAABC2+mnn67ly5e3WmtuRrrkkkt0wAEHaODAgbZmevHFF/XOO+/szrGns846y9Y8gJVVq1apsrLSsh4REaH9998/INeOjo7W3nvvre+//97ymMWLF+uAAw7o0HnZk3+xJwAAAEnbt0vnnGNZ/kjH6nFdbWOg9undW/rPf5xOAQAAAKCzQqqDp/kLMY/Ho9mzZ2v27NkOJ+o605d8AIDuq76xSfWN5v/fHxsZUi/LuxVmrzOuR8fFq3f/ZJvTAAAQnNxhYRqYMVT5WWu8aoU56x1I1JrL5VJG31it2VLhVculAQkAAKDDLrroIt11112qqanxmoK0detWnXnmmfr4448VERFhS57ly5frqquu2p1BUqtGpAkTJmjKlCm2ZAHasmTJEp/1sWPHKioqKmDX33fffX02gSxdurTD52RP/seeAABAj+bxSBddJBUWGstFGqDzNVuSy1h30oYNTicAAAAA0BVupwN0lsfjCfkfAEDPU2WYKtAsVCcgWd00nTJkRKubWgAA6OmsphwVbgqOb9sG9Y01rueWVPFvWAAAgA7q16+fLrzwwlbvo1o2IX311Vc66qijVFZWFvAsP/30k4466ijV1NTsztGSy+XSzTffHPAcQHstW7bMZ33ixIkBvX5b5+9MEwh78j/2BAAAerRnn5XefdeyfL5ma6vsnbrbHu+/LyUlOZ0CAAAAQFeEbAOSy+UK+R8AQM9TWdtgWYuNCtEJSFYNSIPNN1kDANBTJQ8eblzfmputxgbr9wh2Se9jbkCqqmvUZqYgAQAAdNjtt9+uvn37StLu7wSam5A8Ho/mz5+vgw46SAsXLgzI9ZuamvToo49qypQp2rZtW6uJRy2nMu23334644wzApIB6Ix168wT15uNGBHYzx2HDzf/263Z+vUdn2LLnvyPPQEAgB7rl1+k666zLD+uq/SxjrMxUPvccot0wglOpwAAAADQVSHbgOT09CImIAEAOsPXBKSYiNCbgFRbXakdW/KMtZTMkTanAQAguFlNQGpsqNe2/E02p/GW3idGVo/KWLq51M4oAAAA3UJSUpL+9re/eX0f0LIJ6ZdfftGhhx6q0047TYsXL/bLdevq6jR37lxNnDhRf/rTn1RTU9PqoWgt/xwREaGnn37aL9cF/CU7O9tnva0mja5q6/yVlZXatm1bh87JnvyPPQEAgB6ptlaaNk2qrjaWV2i8btSDNodq24UXSvfe63QKAAAAAP4QmqMWAAAIUVV15ukG0RFuhblDbzrelk0bLWtWN1kDANBT9U8bpLDwCDU21HvVCnPWKXnwMAdS/So6IkwDEqJUVF7rVVuWW6o/7J3mQCoAAIDQdv755+vLL7/Uq6++2moCUcsmJI/Ho7fffltvv/22MjMzdcopp2ifffbR2LFjVVvr/d6smcfjUXV1tbZu3aqcnBwtX75cCxcu1H/+8x/t3Lmz1bSj5uNb/q7L5dLdd9+tvffeO4D/CwAd4/F4tGmT7wc0pKamBjRDcnKy3G63mpqaLI/Jzs5W//7923U+9hQY7AkAAPRIf/6ztHy5sVSjKE3Ta6pVtM2hfDvpJOmFF5xOAQAAAMBfQqYBqeUT+QAACFVWE5BiI0PmJbmVgux1xvXouHj17jfQ5jQAAAS3sPAIDczINL5+FmSv096HHutAqtYy+sQaG5CWbi5xIA0AAED38Pzzz2vDhg364YcfjE1IzX+WpKysLD300ENe52j5O83/DQ83f57UstFoz/M3/93lcmn69Om6/vrru7w/wJ9KSkpUU1Pj85jk5OSAZggPD1dSUpLPSTMFBQXtPh97Cgz2BAAAepz//Ef6+98ty9frIa3SeBsDtS0zU3r3XadTAAAAAPAnt9MBAADoSawbkMJsTuIfhZvWG9dTh4ykeRgAAIPUzFHG9cIc82uq3TL6xhrXVxWUq6be/D4GAAAAvkVHR+vTTz/Vvvvuu7vpqGVjUMu1llORmn+s7Hmcr3NJrZuRjjnmGM2ZMyfgewc6aseOHW0eM2DAgIDnGDjQ98OV2pOzI8eyp85hTwAAoMfYtk0691zL8gc6Xk/qChsDtc/ixU4nAAAAAOBvQT9uYdCgQdzADADoNqrrGozrIduAlLPBuJ48ZITNSQAACA0pmebXyKLcbDXU1yk8ItLmRK1ZNSA1NHm0qqBM+wzua3MiAACA7iEhIUFfffWVpk+frvfff79Vg5DUekLRnt+JWDUh+fruZM/fadl8NH36dM2ZM0dhYaH5eRS6t+Li4jaPSUhICHiOtq7RnpwdOZY9dQ57AgAAPYLHI11wgbRli7G8RQN1gV6SFFz3182fLyUlOZ0CAAAAgL8FfQNSTk6O0xEAAPAb6wlIQf+S7KWmqlLFW/KMtVQakAAAMEoZMtK43tTYoK252Uodap6QZJcBvaIUFe5WbUOTV23p5lIakAAAALogLi5O//73v3X33Xfr7rvvVkNDQ6vGoJb/bY/2HNvy/BEREbrrrrt04403diI9YI+SkhKf9ZiYGFua53r16uWz3pEmEPYUOOwJAAD0CE8/LX3wgWX5PM3RNgV+UmNHzJolTZnidAoAAAAAgRB6dzsDABDCrBqQYkJwAtKWTebpR5KUQgMSAABG/VMHKTwySg11tV61gpx1jjcguV0upfeJ0cZtlV61pbml9gcCAADoZlwul2677Tb94Q9/0OWXX65vv/1293qzjjQhWV1jz3Ptt99+evrppzV58uQunRsItJqaGp/1uLg4W3LEx8f7rLeVsyPHsqfOY0/+sXXrVm3btq1Dv7Nhg/X3AwAAwI9WrZL+9CfL8iO6Rp/qGBsDtS0jQ7rySqdTAAAAAAgUGpAAALBRVV2DcT02BBuQCnPWGddj4nopsd9Am9MAABAa3GFhShk8XLnrV3nVCrPXO5DIW0afWGMD0rLNpfaHAQAA6KYmTJigBQsW6OOPP9Z9992nhQsX7q61bCDqrObGo/Hjx+vmm2/W9OnTu3xOwA51dXU+6+Hh9ny12dZ12srZkWPZU+exJ/946qmndMcdd/j9vAAAoItqaqRp03b912C5JuoW3WdzqLZ99JHTCQAAAAAEktvpAAAA9CRWE5BiI0OvJ7gwx/yEw5TMkX65UQYAgO7KalJgQba5udduGX1jjev5pdXaWu7/Jy0DAAD0ZMcee6zmz5+vX375RTfffLPGjx8vj8fj9ePLnsf269dPF154ob788kv9/PPPNB8hpHTHJhD2FDjsCQAAdGs33yytWGEsVSta0/SaahVtcyjfRo+Wxo93OgUAAACAQAq9u50BAAhhVg1IcSE5Ack8pSFlyHCbkwAAEFpSMkca17flb1J9bY0iopz9wtCqAUmSluaW6uhxyTamAQAA6BlGjRqle++9V/fee68KCgr0ww8/aOnSpVqzZo1yc3NVUFCgiooKVVdXq76+XlFRUYqNjVVSUpIGDRqkoUOHau+999ZvfvMbTZw4UW43z59DaGpqavJZDwuz53PUtq7T2Gj+nNeEPQUOewIAAN3WJ59Ijz1mWb5Of9cvGmtjoPZ5+GGnEwAAAAAINBqQAACwSWOTRzX13WMCUk1VpYqL8o21lCHmm6oBAMAuqRYNSB5Pk7Zs3qiMEeNsTtRafFS4+sZFqrjS+6nKSzfTgAQAABBoqampOvnkk3XyySc7HQWwXVvTXxoaGmzJ0dZ1IiIi2n0u9hQ47Mk/Lr/8ck2dOrVDv7Nhwwb94Q9/8HsWAAAgqahIOvdcy/K7OknP6FIbA7XPKadIxx3ndAoAAAAAgRZadzsDABDCqusb5bGoxYbYBKQtm8zTjyQpZcgIG5MAABB6kgamKTI6VnU1VV61wpz1jjcgSVJ6nxiLBqQSB9IAAAAA6CkiIyN91u1qAqmvr/dZbytnR45lT53HnvxjwIABGjBggN/PCwAAOsHjkS64QNq61VguVLIu0guSXPbmakPfvtKzzzqdAgAAAIAd3E4HAACgp6iqs/6CMtQakAqyzQ1IMfEJSkzii0oAAHxxud1KGTLcWCvIWmdzGrNBfWON6yvyy9TQ2GRzGgAAAAA9RVvTXerqvB+UEAj+bAJhT4HDngAAQLfzxBPSRx9Zls/RP7Rd/W0M1LaoKOnrr6WkJKeTAAAAALADDUgAANikuq7RshYbGVpDCQtzzA1IqUNGyOUKrqctAQAQjFKHjDSuF+QERwNSRh9zA1JVXaPWFe20OQ0AAACAniI+Pt5nfedOe/49UlFR4bPeVs6OHMueOo89AQCAbmXFCumGGyzLD+s6fa4jbQzUtqgoafFiacIEp5MAAAAAsAsNSAAA2KTKogEp3O1SRFhoNe1s2WRuQEoeMsLmJAAAhKaUoeYGpB1b8lRbXWlzGm8pidEKc5vfnyzNLbE5DQAAAICeom/fvj7r9fX1qqmpCXiO8vJyn/W2cnbkWPbUeewJAAB0G9XV0vTpUm2tsbxUe+nPutfmUL4lJ0v5+TQfAQAAAD0NDUgAANikqq7BuB4bGRZSU4NqKnequKjAWEvNNN9MDQAAWrOagCSPR1s2bbQ3jEF4mFupidHG2tLNpfaGAQAAANBjJCUltXlMaWlpwHO0dY325OzIseypc9gTAADoNm66SVq50liqUoym6TXVKcrmUNb2318qLJR4awIAAAD0PDQgAQBgE6sJSLGR4TYn6ZrCTRssaylMQAIAoF16909WTFwvY60ge63NacwG9Y01ri/PLbU3CAAAAIAeo1+/fm0es2XLloDnaOsaHWkCYU+Bw54AAEC38OGH0qxZluVr9YjWarSNgXw76CDphx+cTgEAAADAKTQgAQBgE6sGpJjIMJuTdE1hzjrjemyvRCX07W9zGgAAQpPL5VKKxeTAguz1NqcxS7doQNqwbacqauptTgMAAACgJ4iNjW2zwaKoqCigGaqqqlRRUeHzmMGDB7f7fOwpMNgTAADoFrZskc4/37L8b/1ez+liGwP5Nniw9O23TqcAAAAA4CQakAAAsElVXYNxPTbkGpDMN0WnDBkhl8tlcxoAAEKX1eRAq2Zfu2X0MTcgeTzSivwym9MAAAAA6CmGDBnis75p06aAXr89528rY0ePZ08dx54AAEDIa2ra1Xy0bZuxnK9UXaQXJAXHd/AxMdJPPzmdAgAAAIDTaEACAMAmVhOQYiPDbU7SNb4akAAAQPulWkxAKtlaqOpK3088tkOf2AjLRumf82hAAgAAABAYmZmZPuvr1wd2auyGDRt81gcOHKjYWPMDG6ywJ/9jTwAAIOTNmiV98omx1CSXztE/tEP9bA5lFhYm/fCD1MbASAAAAAA9AA1IAADYxLoBKXQmIFVXVqhka6GxljLEfBM1AAAw89W8W5jt/BQkl8ul9D4xxtry3FJ7wwAAAADoMcaNG+ezvnbt2oBev63zt5WvM7/DnjqOPQEAgJC2fLl0442W5Yd0vb7U4TYGsuZySUuXShMmOJ0EAAAAQDCgAQkAAJtU1TUY1+NCqAFpyybrJzCmDBluYxIAAEJfQt/+ikvoY6wVWEwctFt6H/OTlWlAAgAAABAokydP9llfunRpQK+/ZMkSn/W99967w+dkT/7HngAAQMiqrpamT5fq6ozlnzRZt+pum0NZW7uW5iMAAAAAvwp3OgAAAD2F9QSk0Hk5LrCYxhCX0FsJffvbnAYAgNDmcrmUmjlC65f/16sWDBOQJFlOQCooq9HW8hoNSIi2OREAAEBg/e53v3M6gmNcLpe++OILp2MAbTaB5OXlaevWrRowYEBArv/TTz/5rAeisYU9dRx7AgAAIev666XVq42lSsVquuapXpE2hzKbP18aMcLpFAAAAACCSejc8QwAQAjzeDyqqrVqQAqdCUiFFtMYUoaMkMvlsjkNAAChL2XISGMDklXTr92sJiBJ0vK8Mh05lgYkAADQvXz99dc98jMOj8fTI/eN4JSenq7Bgwdr06ZNlsd8/fXXOu200/x+7YKCAq1b5/vfY4ccckiHz8ue/Is9AQCAkPX++9JTT1mW/6jHtE6jbAxk7a23pClTnE4BAAAAINi4nQ4AAEBPUNfQpEaPx1gLpQakLTkbjOvJg3nsEQAAnZGaOdK4Xl68TTvLSmxO4y0+Klx9YiOMteW5pfaGAQAAsJHH4+kxP0AwOuKII3zWP/vss4Bc9/PPP/dZHzFihAYPHtypc7Mn/2FPAAAgJBUWShdcYFl+L/z/9KIutDGQtfffl045xekUAAAAAIIRDUgAANigqs48/UiSYiNDYyBh9c5ylWwrNNZSM2lAAgCgM1KGWL+GWk0etJvVFKTleaX2BgEAALCRy+XqMT9AMDryyCN91t977z01Nlp/5tpZb731ls/6UUcd1elzsyf/YU8AACDkNDVJ554rbd9uLNf2T9N5Dc9LcvbfaC6XNH++dMIJjsYAAAAAEMRoQAIAwAa+G5BCYwJS4Sbz9CPJ983TAADAWnzvvkro289YK8xZZ3Mas/Q+Mcb15bmlPDEfAAB0W05PJWICEnq6448/XrGx5ochSNLWrVvbnBjTUcXFxfr00099HjN16tROn589+Qd7AgAAIenRRyWrSYoul872vKwS9bU10p7CwqTly6UpUxyNAQAAACDI0YAEAIANquoajOsuSdGh0oBkMYUhLqGPevUx3zgNAADaljJkpHG9ICtYGpDMN16V1zQoZ0eVzWkAAADsEUxThwJ9PiAYxcfH66STTvJ5zKxZs/x6zWeeeUZ1dXWW9YyMDP32t7/t9PnZk3+wJwAAEHKWLZNuucWyvOGUm/Tm9sPsy2PgcklFRdKECY7GAAAAABACaEACAMAGVhOQoiPC5A6RGz0Kss03QacMGcHNKgAAdEFqprkBqTBnfVA8kT6td4zcFi/1y3NLbc0CAABgF6emDrXVXGR1jo40FTEFCaHiggsu8Fn/6KOPtGzZMr9ca+fOnW02lZxzzjld/hyUPXUNewIAACGnqkqaNk2yajbed19NX3+HvZkMZs+WkpKcTgEAAAAgFIQ7HQAAgJ7AagJSbIhMP5KkQssGpOE2JwEAoHtJsWhA2llWrIrSHUpweNJgZLhbIwf20potFV61Zbml+sPeaQ6kAgAACIzf/va3Ab3Ju6GhQd9///3upp/m/7a85p4NQXFxcUpISNj9ExERofLy8lY/TU1Nu4/fswnJ4/HI5XLt/u/w4cOVmpoasD0C/nLkkUdq4sSJ+vnnn411j8eja665Rl9//XWXr3Xfffdpy5YtlvWoqChdddVVXb4Oe+oa9gQAAELOdddJa9aYa3FxWnv7PC0+MdLeTHtwu6Vzz3U0AgAAAIAQQgMSAAA2sJqAFCoNSJXlpSrbsdVYSx06yuY0AAB0LylDRljWCrPXOd6AJEmT0nsbG5CW55XaHwYAACCA/HEzuZVly5bpwgsvVFNTU6uGIOnXpqOIiAgdddRROvjggzVp0iRNmjSpzWah6upqrVixQsuXL9eSJUv07rvv7r6ZvWUzUvM1CwsLddVVV+nKK68M2F4Bf7npppt05plnWta/+eYbPfLII7r22ms7fY3vvvtODz74oM9jzjvvPA0cOLDT12iJPXUOewIAACHn3/+Wnn3Wuv7443rmC+vvB+xy0EFOJwAAAAAQStxOBwAAoCewbkAKjV7ggqy1lrXUTBqQAADoitj4BPXpn2KsFVhMILTbpIzexvVVBeWqa2gy1gAAAPCr2bNn64ADDtCyZcuMzUd77bWXnn76aRUWFur999/XzTffrGOPPbZdk4piYmK0//77a8aMGXr66aeVn5+vzz77TGeffbbcbneriUoul0s7d+7UH//4R5100kmqrKwM2J4Bf5g2bZr2228/n8fcdNNNev/99zt1/vXr1+vUU09VQ4N5gr0k9erVSzNnzuzU+U3YU8exJwAAEHIKCqSLLrKuT50qnX++nnnGvkhWnn7a6QQAAAAAQgkNSAAA2KCqzvwlYqhMQMrPNjcgJfTtr/jEPjanAQCg+0nJND/lsDBoGpASjet1DU1aa5iMBAAAgF/dcccduuiii1RXV7e7Gai5Cal///56/vnn9dNPP+mSSy5R3759u3w9l8ulww8/XHPnztWyZct0+OGHezUheTweffjhh5oyZYpKSkq6fE0gUFwul5544ondDXsm9fX1mjp1ql544YUOnfvbb7/VoYceqsLCQp/H3X777UpOTu7QuX1hT+zJqT0BAACbNDVJ55wj7dhhrmdkSM8+qw8+dKmmxt5oe+rXTxo/3tkMAAAAAEJLaIxdAAAgxFlPQAqNBiSrm59ThzL9CAAAf0gZMlKr/zvfa70gZ32rp+M7ZeTAXoqOcKum3nva0fK8Uk1INzcoAQAA9HRPPvmk7rjjDklq9Z7O4/Ho5JNP1pw5c9SrV6+AXX/cuHH67LPP9I9//EOXXnqpamtrd2fxeDxavny5TjrpJH3++eeKiooKWA7Ya/78+Vq3rmMPM9hhdXNkCx1tspCkQw89VCNGmB+40F7777+/brnlFt17772Wx9TW1mrGjBl6++23deedd/qcXLNp0yY98MADev75531On5F25b/mmms6G90Se2JPTu0JAADY4OGHpS++MNdcLunll6U+fXTJJfbGMvnfP1cBAAAAoN1oQAIAwAZWDUhxUcH/UuzxeFRg1YCUOdLmNAAAdE+pFhOQqneWq3R7kfr0d/aJxxFhbo1PTdSPm7yfjr88t1RnHTDYgVQAAADB7ccff9Q111zj1Xjkcrl02WWX6cknn7QtyznnnKPMzEwdd9xxqqqqkvRrE9J3332n6667ztY8CKyXXnpJc+fO9ft5Z8yY0eHfmT17dpcbkCTpzjvv1MKFCzV/vveDG1r65JNP9Mknn2j06NGaMmWKRowYoYSEBFVWVio3N1c//PCDFi1a1GoqmJUBAwZo3rx5CgsLzEOk2BN7shLoPQEAgABaskT6y1+s67fcIh16qBYskAoK7ItlEhsrXX65sxkAAAAAhJ7gv+sZAIBuoKrO/DTDmBCYgFS6vUhVFWXGWmomE5AAAPCHlCHWN+QVZq9zvAFJkiZl9DY3IOWV2h8GAAAgyDU2Nur8889XY2Pj7gak5uajE0880ZFmnylTpujVV1/VySefvHutuQnp2Wef1fTp03XwwQfbngtoj7CwMP373//WYYcdpuXLl7d5/Jo1a7RmzZpOX69379769NNPlZqa2ulztIU9sScTO/YEAAACpLJSmjZNqq831/ffX5o5U5J03HH2xbLy4otOJwAAAAAQitxOBwAAoCewmoAUGxn8vcAF2Wsta75ulgYAAO0XFROnpOR0Y60gxzyJ0G6TMnob19dv3amdteZmawAAgJ7q9ddf16pVq1pNP5Kkvn37avbs2Q6lkk466SRddNFFXhM4mpqadNtttzmUCmifPn366LPPPtO+++4b0OsMGDBAn376qfbaa6+AXkdiT13BngAAQNC59lppncXn+fHx0quvShEReu45aedOe6PtKTFROuMMZzMAAAAACE00IAEAEGANTU2qbWgy1mJDYAJSYZb5Q9KklAxFx8bZnAYAgO4rJXOkcb0we73NScwmpSca1z0eaUWeeVoiAABAT/Xwww+3+nvz9KObb75Zffr0cSjVLnfddZeioqJ2/725Seqbb77RkiVLnIoFtEv//v21YMECnXPOOQE5/3777acff/xR+++/f0DOb8KeOo49AQCAoPPOO9Lzz1vXn3hCGj5cknTppTZl8uGDD5xOAAAAACBU0YAEAECAVVtMP5JCowEp32ICUqrFTdIAAKBzrF5bC3PWydNkbma206C+seodG2GsLc8rtTcMAABAENu4caOWLVvmNf0oIiJCF110kUOpfjVgwACdfPLJXlOQJOnNN990IBHQMdHR0Zo7d64++OADDR061C/n7NWrl/7+97/r+++/V0ZGhl/O2RHsqX3YEwAACEp5eZKvf+udfrr0vybm88/f9VAvJ/XuLR1yiLMZAAAAAIQuGpAAAAiwKp8NSOE2Jum4pqZGFeaYpy6kZo6yOQ0AAN2bVQNSbXWVircW2JzGm8vl0qT03sba8txSW7MAAAAEsw/2eJR08/Sjgw46SImJ5qmSdjvhhBO81jwejz788EMH0gCdc/zxx2vNmjV6+eWXtd9++3XqHIMHD9Z9992nnJwcXXvttQoLc/aBUezJjD0BAICg1di4q7mopMRcHzRIeuYZ6X8PqJg718ZsFu65x+kEAAAAAEJZcN/1DABAN+C7ASm4v1TcXpir+toaYy1tKA1IAAD408BBw+RyueXxeE87Kshep6TkdAdStTYpo7e+WbfNa50GJAAAgF8tWbLEuL733nvbnMTa5MmTW/3d5XLJ4/Hol19+UW1traKiohxKBn+YM2eO5syZ43QMW0REROiss87SWWedpdzcXH388cdavHixVq9erU2bNqm8vFxVVVWKiopSr169lJKSojFjxmivvfbS0UcfrUmTJjm9BS/siT0BAIAQ8tBD0ldfmWtut/TKK7tGDkn685+dn34UGSldfrmzGQAAAACENhqQAAAIsKq6BuN6RJhLEWHBPYywIGutcd0dFqaBGUNtTgMAQPcWGRWtfmmDtC0vx6tWmLNeEw78nf2h9rBXhvmJ/QVlNdpaUaMBvaJtTgQAABB8Vq1aZVwfNGiQzUmsZWRk7P5z84QmSWpqatKaNWu4MR4hKSMjQxdffLEuvvhip6P4DXsKDd1xTwAAoB1+/FG69Vbr+l/+Ik2ZsvuvjzxiQ6Y23HWX0wkAAAAAhLrgvusZAIBuwGoCUmxk8PcBF2SvM64PSM9UeGSkzWkAAOj+UjNHGtcLss1NwXabmN7bsrYir8y+IAAAAEGsoKBgd0NPS7GxsQ6kMYuJibGs5efn25gEAAAAAELQzp3S9OlSg/lhpDrgAOmvf9391xUrpJoam7L5cOONTicAAAAAEOpoQAIAIMCsG5DCbE7ScVYNSFY3RwMAgK5JHWJ+jd2Ss0FNTeb3FHbqFx+ltN7mm1WX04AEAAAgSaqoqDCuV1VV2ZzEWnV1tWXNKj8AAAAA4H/++Edp/XpzrVcv6dVXpfBfH0gaDNOP9tvP6QQAAAAAugMakAAACLCqOvNTj4K9Aamhvk5Fm7OMtbSho21OAwBAz5CSOcK4Xl9Xq+2FuTanMZuYnmhcX5FXam8QAACAIFVj8Vjr3NzgeD8nSXl5eZa12tpaG5MAAAAAQIh56y3ppZes6089JQ0d2mrp3XcDnKkdfEUGAAAAgPaiAQkAgACznoAUblwPFkW5WWpqNDdPpTABCQCAgBiYMVTuMPN7hMIs82RCu02wakDKL5PH47E5DQAAQPCJj483ri9btszeID4sXbrUshYXF2djEgAAAAAIIbm50owZ1vXp06Wzzmq15PFIxcUBztWG+Hhp/HhnMwAAAADoHmhAAgAgwKwbkIJ7AlKBxU3OEZFR6p86yOY0AAD0DOERkRqQPsRYK8gJjgakSem9jevbd9apoMz8tH8AAICeJCkpqdXfXS6XPB6Pvv32W1VUVDiUqrWPPvrIsta3b18bkwAAAABAiGhslM4+WyotNdeHDNk1/WgP338f0FTt8sADTicAAAAA0F3QgAQAQIBV1ZmnCAX7BKSCbPNNzilDRsgdFtzNUwAAhLJUi0mDhdnrbU5iNj7NPAFJklbkldoXBAAAIEiNGjVq92TIlhMi6+rqNHv2bKdi7bZjxw699dZbcrlcxvqoUaNsTgQAAAAAIeCBB6RvvjHX3G7plVekRO/Pzy+/PMC52hAX53wGAAAAAN0HDUgAAARYVW2ITkDKXmtct7opGgAA+EfKkBHG9S2bN6qxwdzYbKfEmAhl9osz1n7OK7M5DQAAQPCZPHmy11rzFKR7771X5eXlDqT61cyZM1VTs2typcfjadWINGDAAKWmpjoVDQAAAACC03//K91+u3X9ttukgw82lpYvD1CmdnrhBWevDwAAAKB7oQEJAIAAs56AFLwNSLXVVdpemGuspWTyFFwAAAIp1eK1trGhXlvzc+wNY2GCxRQkGpAAAACkY445ptXfW05B2rZtmy6++GK7I+32n//8R08//bTX9KPmRqSjjjrKoWQAAAAAEKQqKqTp0yWrB4QddJB0663G0i23BDBXOwwaJJ1xhrMZAAAAAHQvNCABABBAHo9H1fVWE5DCbU7TfoU566UWN8e0lDqUCUgAAARS/7TBCguPMNYKs9fZnMZsYrpVA1JpqxtsAQAAeqIDDzxQ6enpkrS70ae5wcfj8ejNN9/U9ddfb3uuxYsX67TTTtv9fs30vu3000+3OxYAAAAABLerr5Y2bjTXEhKkV1+Vws3f/f/97wHM1Q5Lljh7fQAAAADdDw1I8JucnBy99dZbuvnmm3XEEUeoT58+crlcPn+6szlz5rS5/0D+NH/BDcBZNfVNarK4BzeYJyAVZK81rsfE9VKf/ik2pwEAoGcJCw9X8qBhxlphznqb05hNTO9tXC+vadDm4ip7wwAAAAQZt9utSy+91KvBp2UT0iOPPKKzzz5b1dXVtmR6++23dcQRR6i8vHx3FunXBilJGjp0qI477jhb8gAAAABASPjnP6U5c6zrTz8tDRliLC1YINXVBSRVu9x8s5SU5Nz1AQAAAHRPwTt6AUEtLy9PP/744+6fn376Sdu3b3c6FgAEnao6izHsCvIGpCzzdIXUzJHdvoEUAIBgkJo5UvlZa7zWC4JkAtK41AS5XOaBicvzyjQ4Kc7+UAAAAEHk6quv1qxZs7R169bdTUdS6yakefPm6ZtvvtEDDzygadOmBSTHhg0b9Kc//UkffPDB7mvvqXn9zjvvDEgGAAAAAAhJmzZJl1xiXT/rLGn6dMvyOecEIFMH3Huvs9cHAAAA0D3RgIQ2FRUVafHixa0ajoqKipyOBQAhoaqu0bIWGxm8L8NWNzenZI6yOQkAAD1TSuZI4/rWvGw11NUpPDLS5kStxUWFa3j/eK3futOrtiKvVCdNSnUgFQAAQPCIj4/Xgw8+qHPPPder6adlE1JeXp7OOussPfbYY7r00kv1f//3f0pISOjy9RcsWKBXXnlFc+fOVX19favmo5bTj5rXp0yZErAmKAAAAAAIOY2N0tlnS2Vl5npmpvTkk5a//uGHUk5OYKK1x6RJEs8VBQAAABAIwXvnM4LG0UcfreXLlzsdAwBCklUDktslRUe4bU7TPpXlpSrbYW40TRtKAxIAAHZIyRxhXG9qbFRRbpbSho22OZG3iem9jQ1Iy/MsvpAFAADoYc4++2z95z//0auvvtpqCpIkr4agxYsXa/Hixbrssst09NFH65BDDtHEiRM1adIkDRw40Od1amtrtXLlSi1fvlxLly7Vu+++q/z8/N3nlmRsPmqWlJSkV1991X8bBwAAAIBQd9990oIF5lpYmDRvnuTj4RH33x+gXO105JHOXh8AAABA90UDEgAAAVRV12Bcj4kI83r6bbAoyFprWUu1mMYAAAD8q19KhiKjY1RXU+1Vy89aEyQNSIl6e0me1/qq/DI1NnkU5g7O9zoAAAB2eu6555STk6Nvv/3Wsgmp5Xptba3ef/99vf/++7uPi4+PV2Jionr16qWEhARFRESooqJC5eXlKi8vV2lpqZqamlqdt9mejUd7rsXGxurf//630tLSAvM/AAAAAACEmkWLpJkzreu33y4dcIBlecUKaeFC/8fqiHPOcfb6AAAAALovGpAAAAggqwlIsZHB+xJckL3OuJ7Qt5/ie/e1OQ0AAD2T2x2mlCEjtGnNz161fB/NwnaakJ5oXK+sa1T29p0aPqCXzYkAAACCT0xMjD788EMde+yx+v77770agkwTiVo2C0lSRUWFKioqWh235zEt7fnQG6vmo7i4OP3rX//SQQcd1Km9AQAAAEC3U14uTZ8uNZq/59chh0h//rPPU7z2WgBydUCvXtKECc5mAAAAANB9Be/dz0A3d//99yspKSlg54+LiwvYuQG0n3UDUpjNSdrPqgEpJXOUzUkAAOjZUoeOMjYg+ZpWaKexKQkKd7vU0OR98+vy3DIakAAAAP4nISFBX375pc477zz985//3D31SDI3IllNzfZ4PMZmIqtj99Tymunp6Xrvvfe01157dWpPAAAAANAtXXmllJ1triUmSq+8IoX5/q7/yy8DkKsDjj3W2esDAAAA6N5oQEJADBkyRCNHjtR//vMfp6MErdNPP11DhgxxOgaAAKuqazCuB2sDksfjUUG2+abmNBqQAACwldVrb3FRvqp3lismPsHmRK1FR4Rp5MBeWl1Y7lVbkV+mU/ZJdyAVAABAcIqKitJrr72m3/3ud7ruuutUWVnpsxGppeZjOtpwtOfvNx9zyimn6LnnnlOfPn06txkAAAAA6I5ee016+WXr+jPPSIMH+zyFxyMtXernXB10223OXh8AAABA9+Z2OgBCX0ZGhk4++WTdfffd+uSTT7R9+3ZlZ2fr2WefdToaADjOcgJSVHD2AJdtL1JVRZmxljp0pM1pAADo2dKGjbasWU0stNvE9ETj+s95pfYGAQAACBEzZszQ6tWrdcYZZ0jynnxkajJqnnzk62dPLc/XfMzIkSP17rvv6s0336T5CAAAAABaysmRLr3Uun7uudL//h3nS0WFVFfnv1gdNXKkNH68c9cHAAAA0P0F593PCFqpqanad999te+++2qfffbRfvvtp/79+zsdCwCCVqhNQPJ1M3PK4BE2JgEAAL369FN8777aWVrsVcvPWqthE/Z1IFVrE9N76/XFuV7rqwrKVd/YpIgwnnsCAACwp4yMDM2bN08333yzHnroIf3zn/9UfX29JFk2IXVGc2PSXnvtpeuuu05nnHGGwsP5WggAAAAAWmlokM48UyovN9eHDZNmzWrXqWpr/ZirEx55xNnrAwAAAOj++KYJbbrqqqs0cOBA7bvvvkpOTnY6DgCEFMsJSJHB+RJckLXWuJ6UnK7ouHib0wAA0LO5XC6lZo7SuqXfe9UKstY4kMib1QSk2oYmrS/aqbGpCTYnAgAACB0TJ07UP/7xDz366KN6++239fbbb2vBggWqrq72OtZXU5JpAtLYsWN14okn6vTTT9dee+3lz9gAAAAA0L3cc4/03XfmWliY9OqrUq9e7TrVmWf6MVcHJSZKxx3n3PUBAAAA9AzBefczgsqFF17odAQACFnWDUihNQEpNXOUzUkAAIAkpQ0bbWxAys9aK4/H47en43fWyIG9FBnuVl1Dk1dtRX4pDUgAAADt0LdvX82YMUMzZsxQfX29Fi9erGXLlmnVqlXauHGjCgsLVVRUpKqqKtXU1KipqUlRUVGKjo5W3759lZKSooyMDI0dO1bjx4/XgQceqAEDBji9LQAAAAAIft99J915p3X9zjul3/ymXaeaNUv67DM/5eqE995z7toAAAAAeg4akAAACKCqugbjejA2IDU1Napw03pjLXXoSJvTAAAASUobam4CrqooU+n2IvXp7+yU2shwt8akJGh5bqlXbXlemU7fz/5MAAAAoSwiIkIHHXSQDjroIKejAAAAAED3Vla2a2RRk/cDtiRJhx4q3XRTu061fr109dV+zNYJv/2ts9cHAAAA0DO4nQ4AAEB3Vd/YpPpGj7EWGxl8PcDbC3NVV1NtrKVm0oAEAIATUoaMlCymHBVkrbE5jdnEtETj+oq8MpuTAAAAAAAAAADQTpdfLuXkmGu9e0svvyyFte/BohMn+i1Vp4wZ4+z1AQAAAPQcNCABABAgVXWNlrVgnIBUmLXOuO4OC9PAQcNsTgMAACQpOjZO/VIyjLWCrLU2pzGbmG5uQFqzpVy1DdbvhwAAAAAAAAAAcMQrr0jz5lnXn3tOyjB/Nr+n3/9eqqnxU65OuuceZ68PAAAAoOcIvvELAAB0E1V1DZa1YGxAKsg2NyANSM9URGSUzWkAAECz1MxR2l6w2Ws9P2gakHob1+sbPVpTWKFJGeY6AABAd3X99dfryy+/NNaOO+443X333TYnAgAAAADslpW1a/qRlfPPl6ZObdep1q+X3nvPT7k6KSJCOvlkZzMAAAAA6DloQAIAIEB8TUCKCcoGJPNNzKmZI21OAgAAWkobOko/f/uZ13rhpg1qbGhQWLiz/7Qf1j9OMRFhqq73fu/zc34ZDUgAAKDH+frrr7Vs2TK5XC55PJ5W/33mmWecjgcAAAAAPVdDg3TWWVJFhbk+YoT0+OPtPt3ee/spVxecfrrTCQAAAAD0JG6nAwAA0F1ZNSBFhbsV7g6ul+CG+jpt2ZxlrNGABACAs9KGjTauN9TValv+JpvTeAsPc2t8WoKx9nNuqb1hAAAAgkBubq5cLpfXekZGhvbff38HEgEAAAAAJEl33SV9/725Fh4uvfqqFB/frlPdeKNUWenHbJ305JNOJwAAAADQkwTX3c8AAHQjVXUNxvXYIJx+tDU3W02N5rypQ0fZnAYAALQ0IH2IwsIjjLX8rDU2pzGbkNbbuL4iv8zeIAAAAEGgrOzX90Atpx8ddNBBDqYCAAAAgB5uwQLp7rut63fdJe23X7tP99BDfsjkB716OZ0AAAAAQE9CAxIAAAFSbTEBKTYy3OYkbSvIXmdcD4+MUv/UwTanAQAALYWFRyh58HBjrSBrrc1pzCakmycgrd+6UzX15vdEAAAAPc2YMWOcjgAAAAAAPVNpqXTWWVJTk7n+//6fdMMN7T7d1KmSx+OXZF2SmioZBvACAAAAQMAE3x3QQA9UUlKirKws5eXlqaKiQvX19YqJiVFsbKwGDBigjIwMpaSkyO2mZxAIJVWWDUjBNwEp3+Lm5ZTBw+UOC768AAD0NGlDRyl/4y9e6/nZQdKAlJZoXG9s8mjNlgrtldHb3kAAAAAOio+PV0lJidd6nz59HEgDAAAAAD2cxyNddpm0ebO53qeP9PLLUju/F9+xQ3rrLT/m64Ijj3Q6AQAAAICehgYkwCFvvPGGfv75Z3377bfKyclp8/i4uDjttddeOuCAA3TsscdqypQpioyMDHxQAJ1WWdtgXA/GBqQCi5uXU4eOsjkJAAAwsXpN3pa/SbXVVYqKibU5UWuZ/eIVGxlmbMBekV9GAxIAAOhREhMTjQ1IUVFRDqQBAAAAgB7u5Zel11+3rr/wgpSe3u7T7buvHzL5yZ/+5HQCAAAAAD0N41QAh9x000169dVX29V8JEmVlZX69ttv9fDDD+uII45QcnKyrr32Wq1fvz6wQQF0mvUEpODq/62trtL2wlxjLTVzpM1pAACASZpVU7DHo8Ic5/9NEOZ2aWxKgrG2Mq/M5jQAAADOGjp0qDwej9d6ZWWlA2kAAAAAoAfbsEG64grr+kUXSf/3f+0+3WuvSe28zSfg3G5pwgSnUwAAAADoaWhAAkJUSUmJHn30UY0ZM0YXXXSRCgoKnI4EYA9VdaExAakwZ/2usfMGNCABABAc+gxIVUxcL2PNapKh3canJRrXV+TTgAQAAHqWkSPNn6fk5pofAAMAAAAACID6eunMM6WdO831kSOlRx9t9+l+/lmaPt0/0fzhgAOcTgAAAACgJ6IBCQhxjY2NevHFFzVu3Di9/PLLTscB0IL1BKTgakAqyF5nXI+Oi1efAak2pwEAACYul0upFlOQ8jeusTmN2QSLBqR1RRWqqTe/LwIAAOiOfvOb3xjXV69ebXMSAAAAAOjB7rhD+u9/zbWICGnePCkurl2n+vlnaZ99/JjND5591ukEAAAAAHoiGpCAbqK0tFTnnHOOrrjiCjU0mKeuALCXdQNSuM1JfLOampCaOUoul8vmNAAAwIpVA1KwTECakG5uQGpo8mhdUYXNaQAAAJxz9NFHt/q7y+WSx+PR999/z2e3AAAAAGCH+fOle++1rt9zT7s7inbskA4+WAqmf86lp0vjxzudAgAAAEBPFFx3QAPosqeeekp5eXl6++23FR5uz/+Jb926Vdu2bevQ72zYsCFAaYDg0NjksXzSf9BNQMoyT0BKzRxpcxIAAOBL2tDRxvXy4u2qKNmhXn2SbE7U2rD+8YqJCFO14T3QivwyTUzvbX8oAAAABwwcOFAHH3ywvv3221YPd6moqNBHH32kk046ycF0AAAAANDNlZRIZ50leTzm+uGHS3/6U7tPd/TR0s6dfsrmJ0w/AgAAAOAUGpAAm0VHR+uggw7SxIkTNWHCBI0bN079+vVTQkKCEhMTVVdXp+LiYu3YsUM5OTmaP3++5s+fr2XLlqmpqald13jvvfd09tlna968ebZML3nqqad0xx13BPw6QCgpr66XxceZQTUBqbK8VGU7iow1GpAAAAguvl6b87PWavQ+B9mYxluY26WxqQn6aVOJV21lfpkDiQAAAJxzxRVX6Ntvv/Vaf/jhh2lAAgAAAIBA8XikSy6RcnPN9b59pblzJbe7Xae75hrpp5/8F88fTjhBOu44p1MAAAAA6KmC5w5ooBvr16+fTjnlFB1//PE6/PDDFRsba3lsZGSk4uPjNWjQIO299946+eSTJUnZ2dl6+OGH9dJLL6m6urrNa77++uvaa6+9dNNNN/ltHwDar6SqzrIWTBOQCrLN048kKXXoKBuTAACAtsQl9Fbv/skq3bbFq1aQvcbxBiRJGm/RgLSCBiQAANDDnHrqqbrjjju0bt2uz15cLpc8Ho8WLlyoN954Q6eddprDCQEAAACgG5ozR3rzTev6iy9KaWntOtX8+dJjj/knlr8kJOzaIgAAAAA4pX2PcwDQYS6XSwcffLBeeeUV5eXl6ZlnntGJJ57os/nIl8zMTD3xxBPKycnRscce267f+ctf/qIlS5Z06noAuqakqt6yFlQNSFlrjeu9+vRTr95JNqcBAABtSRs62rhu9Zput/Fpicb1tVsqVNvQaHMaAAAA54SHh+upp56Sx/PrjOzmJqTLLrtM69evdzAdAAAAAHRD69dLV11lXb/kEukPf2jXqXbskA4/3D+x/CU8XFq4UEria3wAAAAADmICEhAgZ555ps4991y/n3fAgAH68MMPdf/99+vWW29VU1OT5bGNjY264oor9N1338nlcvk9S7PLL79cU6dO7dDvbNiwQX9o5wc7QCgqtZiAFOZyKTI8ePp/87PWGNdTM0fanAQAALRH6tBRWvXD117rBdnr5Glqksvt7PuMCenmBqT6Ro/WbdlpWQcAAOiODjvsMN1www3629/+tvvzWZfLpZKSEh111FH69NNPNXIkn8EAAAAAQJfV1UnTp0uVleb66NHS3//e7tP93/9JDQ1+yuYnS5ZIEyY4nQIAAABAT0cDEhAg4eGB+z8vl8ulW265RcnJybrgggt8Hrto0SK99957+v3v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AAAAoOQYQMIlGEByDz8/P/Xp00f333+/+vfvL3//0p3C0qJFC33++ecaN26chgwZog0bNhT6MyNHjtSVV16pWrVqlWpvwOTw4cP67rvvjNm1115r6//cHT6XbryeEMsAEgAAALyHf0Cg2l3TX98t+PySLOXsae3Zsk6XtetaorVjwoN0XbM4Lfv51CXZl7+cUnJ6jiqHB5VobQAAAMBOvvh7Kp7Jc3im0ps4caLGjRvn1jWB3yUnS3fcITmd5rxnT+nRR+3tBAAAAAAAgBJjAAmXKCi49G3J/620gzRFVdg++fn5tvQoqWeeecYjv4ioX7++1qxZoyeffFLvvfeey3svXryoxx57TLNmzXJ7j//2wAMP6NZbby3Wz+zbt08DBgzwTCHYYurUqXJa/LJg+PDhtnY5bHUCEgNIAAAA8DJte/TXmsUzVJB/6cm2679aUOIBJEm6tX0d4wBSTn6B5ice073d6pd4bQAAAMAuvjgEwjN5Ds8EeDGnU7rvPunYMXMeGyt9+qnk52drLQAAAAAAAJQcA0i4RGEfauflXfolKU8obJ/AwEBbepSUJ38JERQUpHfffVcxMTGFvpFs9uzZeuaZZ9SqVSuP9YmLi1NcXJzH1of3SUlJ0fz5843ZZZddpg4dOtjWpaDAqWPJmcYsvjIDSAAAAPAuEVExat7xKv3849eXZEd2/6wTB3arZv0mJVq7e6OqqhUdquMpl/75eObGo7rnynpyOBwlWhsAAACwiy++KI9n8hyeCfBi//63NHeu67xmTfv6AAAAAAAAoNQYQMIlgoKCXOZ2DSDl5ua6zAvrWRGMHTtWO3fu1Jw5c1ze9+abb+rzzz+3qRUqgtmzZysjw3zq0LBhw2z9UuOpC1nKyTf/UjChcrhtPQAAAICi6tjrZuMAkiT9tGKeBj7wTInW9fdz6Nb2tfXOqr2XZPuS0rT58Hm1r1u5RGsDAAB4m507d6pXr15lXcOtjlmdEFHB+OKL8ngmz+GZSu+BBx7QrbfeWqyf2bdvnwYMGODWHvAxe/ZIjzxind9/v3Tjjfb1AQAAAAAAgFswgIRLFPahdU5Oji09GEAqmkmTJumbb77RuXPnLO+ZN2+eJk2apPBwhjFQejk5OZo6daoxi42N1Q033GBrn8PnzINQkhQfywlIAAAA8D416jZSQpOWOrx7+yXZro1rlHLmlKKrVi/R2oPb19F7X+9VgfPSbMaGowwgAQAAn5GTk6Pjx4+XdQ14gC++KI9n8hyeqfTi4uIUFxfn1jVRweXkSEOHShYvM1TTptKbb9rbCQAAAAAAAG7hV9YF4H0iIiJc5mlpabb0uHjxosu8sJ4VReXKlfXMM67fjp2Zmally5bZ1Ai+bunSpTpz5owxGzZsmIKDg23tcyQ53Xg9OixQUaHufQsgAAAA4C6d+gw0Xnc6C7T+qwUlXrdmdKh6NDF/cWzpzyeUmun6i2wAAABAWfPFF+XxTJ7DMwFe6IUXpM2bzVlQkDRjhhTGSwQBAAAAAADKIwaQcInKlV2/DfnChQu29Chsn8J6ViSjRo0q9HSj1atX29QGvszpdOrf//63MQsJCdHtt99ucyPrE5ASKvOLCwAAAHivRq2uUGz12sZsy/crlJnu+qUcrtzeoY7xelZugRZv5ZQAAAAAeDdffFEez+Q5PBPgZb75Rnr9dev81VelVq3s6wMAAAAAAAC3YgAJl4iNjXWZp6Sk2NIjNTXVZV5Yz4okIiJCffv2dXnPTz/9ZFMb+LK1a9dq3759xuzmm29WTEyMzY2kw8nmAaT4WNdDeQAAAEBZcvj5WZ6ClJudpcRvS36K7TWXxSmukvlk0hkbjsrpdJZ4bQAAAMDTfPFFeTyT5/BMgBc5d0664w7J6nOH3r2l0aPt7QQAAAAAAAC3YgAJl6hSpYrLPDs72+NDSMnJycrJyXF5DwNIf3T11Ve7zHfv3m1TE/iyyZMnG687HA6NGDHC5ja/OcIJSAAAACinWnS5VmGVoozZxpWLlJ+XW6J1A/z9dGt78+lKO09e0M/HXb/wAwAAAChLvviiPJ7Jc3gmwEs4ndLIkdKJE+a8alXp008lP76iAgAAAAAAUJ7x6Q4uER8fX+g9p0+f9miHoqxflJ4VSdu2bV3mmZmZHv//N/i2Xbt2WZ6kdd111ykhIcHmRr85YnkCEgNIAAAA8G6BQcHqcN2Nxuxiyjn9sv7bEq99W3vrvzPP2HC0xOsCAAAAnuaLL8rjmTyDZwK8yMcfSwsWWOf//rdUvbp9fQAAAAAAAOARDCDhEhEREYV+cH348GGPdjh06JDLPC4uTuHh4R7tUN7UrVu30HuSkpI8XwQ+y+r0I0m6++67bWzyf1IzcpWaaX4rfDwnIAEAAKAcaHf19QoIDDJm65bPk9PpLNG68bFhurKh+ctzi7ceV3p2XonWBQAA8BatW7eW0+n0qf/gN774ojyeyTN4JsBL/PqrNGaMdf7gg9L119tWBwAAAAAAAJ7DABKM6tWr5zLfu3evR/fft2+fy7ywfhVRVFRUofdkZJhPigEKc/LkSS1fvtyYtW7dWm3atLG50W8OJ6dbZgmcgAQAAIByIDwyWq2u7GnMko4d1IEdiSVe+/Yr6hivp+fka8m2EyVeFwAAAPAkX3xRHs/kGTwT4AWys6WhQyWr30M3by698Ya9nQAAAAAAAOAxDCDBqHnz5i7z3bt3e3T/wtYvrF9FFBRkfmP2f8vNNZ8UAxRm6tSpysszvyG9rE4/kqTD58y/zAgK8FO1SiE2twEAAABKpmPvWySHw5itWz63xOv2bFZNlcPNf1ecseFIidcFAAAAPM0XX5THM7kfzwR4geeek7ZsMWfBwdL06VJoqL2dAAAAAAAA4DEMIMGobdu2LvMtVh8iuklious3PJfVaSveLDMzs9B7QvlwFyVw8eJFzZ4925jFx8fr2muvtbnR/zmSbB5Aiq8cJj8/8xc4AQAAAG8TW722GrfuZMwO7EjUycOuv4BmJTjAXwPb1jJm246l6udjqSVaFwAAAPA0X3xRHs/kfjwTUMZWrZLefNM6f/11qWVL+/oAAAAAAADA4xhAglFhA0hbt25Vfn6+R/bOy8vTtm3bXN7DANKlTp06Veg9ERERNjSBr5kxY4bS0tKM2YgRI+Tv729zo/9z+Fy68XpC5TCbmwAAAACl07nvIMvshy9mlnjd26+It8ymrjtc4nUBAAAAT/LFF+XxTO7HMwFl6OxZ6c47rfO+faWHH7avDwAAAAAAAGzBABKM2rdvr5CQEMs8LS1Nmzdv9sjeGzZsUEaG+VQTSQoJCVG7du08snd5tm9f4W/ErlXL/OZrwEpmZqamTJlizKKiojRgwAB7C/2Pw+csTkCKZQAJAAAA5UudRs1Vq/5lxmzXprU6d+pYidZtUDVCnevHGrNF244rNSO3ROsCAAAAnuSLL8rjmdyLZwLKkNMp3XOPdPKkOY+LkyZPlhwOe3sBAAAAAADA4xhAglFISIi6du3q8p6VK1d6ZO9Vq1a5zLt16+ZyOKqiWr9+vcu8SpUqnICEYps3b56Sk5ON2fDhwxUWVraDPkeTzQNInIAEAACA8sbhcKhL/9vModOpH5fNKfHad3ROMF7Pyi3Q3MSSDTYBAAAAnuSLL8rjmdyLZwLK0IcfSosXW+eTJ0vVqtnXBwAAAAAAALZhAAmWevbs6TKfP3++R/adO3euy7xXr14e2be8W7p0qcu8ZcuWNjWBr8jJydG///1vYxYWFqZhw4bZ3OiPsvPydfJCljFLiA23uQ0AAABQek3adFKVmvHGbPsPq3Qh+UyJ1u3ZrJriKgUbs2nrDsvpdJZoXQAAAMBTfPFFeTyTe/FMQBnZtUt67DHr/JFHpH797OsDAAAAAAAAWzGABEuDBg1ymScmJmr37t1u3fOXX37Rzz//bJk7HI5Ce1VEu3bt0saNG13e06VLF5vawFcsXbpUJ0+eNGa33XabYmJibG70R4fPZcjqe5J1OAEJAAAA5ZDDz09dLU5BKsjP07oV80q0bqC/n4ZcYR5sOnA2XT/uP1eidQEAAABP8sUX5fFM7sMzAWUgO1saMkTKzDTnLVpIr71mbycAAAAAAADYigEkWGrQoIE6derk8p7333/frXu+9957LvMuXbqobt26bt3TF7z66quF3tO7d28bmsBX5Ofn66OPPjJmgYGBuuuuu+wtZLA/Kc143d/PoXgGkAAAAFBONe/YQ1Gx1YxZ4rfLlHExtUTrDrkiXv5+DmP2+U+HS7QmAAAA4Em++KI8nsk9eCagjDzzjLRtmzkLDpamT5c4pQsAAAAAAMCnMYAEl/70pz+5zCdPnmx5QkpxHTt2TJ9//rnLe7xh6MHb/Pjjj4X+961WrVrq2rWrTY3gC77++msdPHjQmN18882Ki4uzudGl9lkMICXEhikogH+9AQAAoHzyDwhQl363GrPcnGxtWLmwROtWjwpRz6bmwaaVu07rVGpWidYFAAAAPMUXX5THM7kHzwSUga++kt5+2zp/803p8svt6wMAAAAAAIAywTe04dIdd9zhctAgIyNDf/nLX9yy19NPP62sLOsvPFWrVk133HGHW/byFefOndPQoUPldDpd3nfvvffK4TC/6Rr4X06nU//617+MmZ+fn+655x6bG5ntP2MeQGpQNcLmJgAAAIB7terWS+GR0cZs46rFys7MKNG6d3ROMF7PL3BqxoYjJVoTAAAA8CRffFEez1Q6PBNQBs6ckUaMsM7795cefNC+PgAAAAAAACgzDCDBpZCQEI0ePdrlPZ999pkWLFhQqn1mz56t6dOnu7xnzJgxCg4OLtU+hw4dksPhcPmfsWPHlnj97Oxsbdq0qVQdi+r8+fPq3bu3Dh8+7PK+8PBwPfzww7Z0gm/48ccftWPHDmPWt29fxcfH29zIbP+ZdON1BpAAAABQ3gUGBatj71uMWVZGmhK/XVqidbs0iFX9quHGbMaGI8rNLyjRugAAAICn+OKL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       "    </div>\n",
       "</div>\n",
       "<hr class=\"thin-line\"/>\n",
       "<hr class=\"bold-line\"/>\n",
       "<div class=\"div-conclusion\">\n",
       "    <h2>Summary</h2>\n",
       "    <h4 class=\"conclusion\"/><table style=\"align: center;border: 2px solid #ddd;text-align: center;border-collapse: collapse;width: 75%;margin: auto\"><tr><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\"></th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Score</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Adaptive Threshold</th><th style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 10px;background-color: #507171\">Conclusion</th></tr><tr><td style=\"align: center;border: 2px solid #ddd;text-align: center;padding: 15px;\">Result</td><td style=\"align: center;border: 2px solid #ddd;\">0.0000</td><td style=\"align: center;border: 2px solid #ddd;\">0.0500</td><td style=\"align: center;border: 2px solid #ddd;\">Need to do batch effect removal.</td></tr></table>\n",
       "</div>\n",
       "<hr class=\"thin-line\"/>\n",
       "<hr class=\"bold-line\"/>\n",
       "</body>\n",
       "</html>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ms_data.plt.show_batch_qc_report(scope=slice_generator[:], mode='integrate', res_key='batch_qc')"
   ]
  }
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