TD5_protein_switch.ipynb 2.94 MB
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{
 "cells": [
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "# TD5 Continous Protein Switch \n",
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    "* basic component of Mitogen Activated Protein Kinase (MAPK) signaling networks in cells\n",
    "* here just one level of double phosphorylation (same kinase MAPKK for the phosporylations, same phosphatase MKP for the dephosphorylations)\n",
    "* **input MAPKK**\n",
    "* **output MPP**\n",
    "\n",
    "### Model 26 of BioModels\n",
    "Markevich, N.I., Hoek, J.B., Kholodenko, B.N., 2004. Signaling switches and bistability arising from multisite phosphorylation in protein kinase cascades. Journal of Cell Biology 164, 353–359.\n",
    "\n",
    "![image.png](attachment:image.png)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "k1*M*MAPKK for M+MAPKK=>M_MAPKK.\r\n",
       "k_1*M_MAPKK for M_MAPKK=>M+MAPKK.\r\n",
       "k2*M_MAPKK for M_MAPKK=>Mp+MAPKK.\r\n",
       "k3*Mp*MAPKK for Mp+MAPKK=>Mp_MAPKK.\r\n",
       "k_3*Mp_MAPKK for Mp_MAPKK=>Mp+MAPKK.\r\n",
       "k4*Mp_MAPKK for Mp_MAPKK=>Mpp+MAPKK.\r\n",
       "h1*Mpp*MKP3 for Mpp+MKP3=>Mpp_MKP3.\r\n",
       "h_1*Mpp_MKP3 for Mpp_MKP3=>Mpp+MKP3.\r\n",
       "h2*Mpp_MKP3 for Mpp_MKP3=>Mp_MKP3_dep.\r\n",
       "h3*Mp_MKP3_dep/uVol for Mp_MKP3_dep=>Mp+MKP3.\r\n",
       "h_3*Mp*MKP3/uVol for Mp+MKP3=>Mp_MKP3_dep.\r\n",
       "h4*Mp*MKP3 for Mp+MKP3=>Mp_MKP3.\r\n",
       "h_4*Mp_MKP3 for Mp_MKP3=>Mp+MKP3.\r\n",
       "h5*Mp_MKP3 for Mp_MKP3=>M_MKP3.\r\n",
       "h6*M_MKP3 for M_MKP3=>M+MKP3.\r\n",
       "h_6*M*MKP3 for M+MKP3=>M_MKP3.\r\n",
       "present(M,500.0).\r\n",
       "present(Mp,0.0).\r\n",
       "present(Mpp,0.0).\r\n",
       "present(MAPKK,50.0).\r\n",
       "present(MKP3,100.0).\r\n",
       "present(M_MAPKK,0.0).\r\n",
       "present(Mp_MAPKK,0.0).\r\n",
       "present(Mpp_MKP3,0.0).\r\n",
       "present(Mp_MKP3_dep,0.0).\r\n",
       "present(Mp_MKP3,0.0).\r\n",
       "present(M_MKP3,0.0).\r\n",
       "parameter(\r\n",
       "  uVol = 1.0,\r\n",
       "  k1 = 0.02,\r\n",
       "  k_1 = 1.0,\r\n",
       "  k2 = 0.01,\r\n",
       "  k3 = 0.032,\r\n",
       "  k_3 = 1.0,\r\n",
       "  k4 = 15.0,\r\n",
       "  h1 = 0.045,\r\n",
       "  h_1 = 1.0,\r\n",
       "  h2 = 0.092,\r\n",
       "  h3 = 1.0,\r\n",
       "  h_3 = 0.01,\r\n",
       "  h4 = 0.01,\r\n",
       "  h_4 = 1.0,\r\n",
       "  h5 = 0.5,\r\n",
       "  h6 = 0.086,\r\n",
       "  h_6 = 0.0011\r\n",
       ").\r\n"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "load('library:biomodels/BIOMD0000000026.xml').\n",
    "list_model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
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    "#### Reaction graph analysis: conservation laws for M, MAPKK and MKP\n",
    "* computation based on the *reaction graph* structure\n",
    " * Petri net place-invariants as structural conservation laws for the ODE semantics\n",
    " * constraint logic programming algorithm [(Soliman12amb)](https://lifeware.inria.fr/wiki/Main/Publications#Soliman12amb)"
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   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "M+M_MAPKK+M_MKP3+Mp+Mp_MAPKK+Mp_MKP3+Mp_MKP3_dep+Mpp+Mpp_MKP3\r\n",
       "MAPKK+M_MAPKK+Mp_MAPKK\r\n",
       "MKP3+M_MKP3+Mp_MKP3+Mp_MKP3_dep+Mpp_MKP3\r\n",
       "3 complex invariant(s)\r\n"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "search_conservations."
   ]
  },
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Influence graph analysis: multistationarity analysis\n",
    "* computation based on the *influence graph*\n",
    " * existence of positive circuit as necessary condition for multistationarity [(Soliman13bmb)](https://lifeware.inria.fr/wiki/Main/Publications#Soliman13bmb)\n",
    " * graph rewriting algorithm [(BFS18jtb)](https://lifeware.inria.fr/wiki/Main/Publications#BFS18jtb)\n",
    " "
   ]
  },
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cours2  
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  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
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   "outputs": [
    {
     "data": {
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TD4-5  
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      "image/png": 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"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_influences."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "There may be non-degenerate multistationarity, positive circuit detected.\r\n"
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      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "check_multistability."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Continuous dynamics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
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   "outputs": [
    {
     "data": {
      "text/latex": [
       "\\begin{align*}\n",
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       "{M_MKP3}_0 &= 0\\\\\n",
       "{MKP3}_0 &= 100.0\\\\\n",
       "{M}_0 &= 500.0\\\\\n",
       "{Mp_MKP3}_0 &= 0\\\\\n",
       "{Mp}_0 &= 0\\\\\n",
       "{Mp_MKP3_dep}_0 &= 0\\\\\n",
       "{Mpp_MKP3}_0 &= 0\\\\\n",
       "{Mpp}_0 &= 0\\\\\n",
       "{MAPKK}_0 &= 50.0\\\\\n",
       "{Mp_MAPKK}_0 &= 0\\\\\n",
       "{M_MAPKK}_0 &= 0\\\\\n",
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       "uVol &= 1.0\\\\\n",
       "k1 &= 0.02\\\\\n",
       "k_1 &= 1.0\\\\\n",
       "k2 &= 0.01\\\\\n",
       "k3 &= 0.032\\\\\n",
       "k_3 &= 1.0\\\\\n",
       "k4 &= 15.0\\\\\n",
       "h1 &= 0.045\\\\\n",
       "h_1 &= 1.0\\\\\n",
       "h2 &= 0.092\\\\\n",
       "h3 &= 1.0\\\\\n",
       "h_3 &= 0.01\\\\\n",
       "h4 &= 0.01\\\\\n",
       "h_4 &= 1.0\\\\\n",
       "h5 &= 0.5\\\\\n",
       "h6 &= 0.086\\\\\n",
       "h_6 &= 0.0011\\\\\n",
       "\\frac{dM_MKP3}{dt} &= h5*Mp_MKP3-h6*M_MKP3+h_6*M*MKP3\\\\\n",
       "\\frac{dMKP3}{dt} &= h_1*Mpp_MKP3-h1*Mpp*MKP3+h3*Mp_MKP3_dep/uVol+ -1*h_3*Mp*MKP3/uVol-h4*Mp*MKP3+h_4*Mp_MKP3+h6*M_MKP3-h_6*M*MKP3\\\\\n",
       "\\frac{dM}{dt} &= k_1*M_MAPKK-k1*M*MAPKK+h6*M_MKP3-h_6*M*MKP3\\\\\n",
       "\\frac{dMp_MKP3}{dt} &= h4*Mp*MKP3-h_4*Mp_MKP3-h5*Mp_MKP3\\\\\n",
       "\\frac{dMp}{dt} &= k2*M_MAPKK-k3*Mp*MAPKK+k_3*Mp_MAPKK+h3*Mp_MKP3_dep/uVol+ -1*h_3*Mp*MKP3/uVol-h4*Mp*MKP3+h_4*Mp_MKP3\\\\\n",
       "\\frac{dMp_MKP3_dep}{dt} &= h2*Mpp_MKP3+ -1*h3*Mp_MKP3_dep/uVol+h_3*Mp*MKP3/uVol\\\\\n",
       "\\frac{dMpp_MKP3}{dt} &= h1*Mpp*MKP3-h_1*Mpp_MKP3-h2*Mpp_MKP3\\\\\n",
       "\\frac{dMpp}{dt} &= k4*Mp_MAPKK-h1*Mpp*MKP3+h_1*Mpp_MKP3\\\\\n",
       "\\frac{dMAPKK}{dt} &= k_1*M_MAPKK-k1*M*MAPKK+k2*M_MAPKK-k3*Mp*MAPKK+k_3*Mp_MAPKK+k4*Mp_MAPKK\\\\\n",
       "\\frac{dMp_MAPKK}{dt} &= k3*Mp*MAPKK-k_3*Mp_MAPKK-k4*Mp_MAPKK\\\\\n",
       "\\frac{dM_MAPKK}{dt} &= k1*M*MAPKK-k_1*M_MAPKK-k2*M_MAPKK\\\\\n",
       "\\end{align*}\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "list_ode."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 6,
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   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
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       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
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       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
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       "    if (id != null && id in Bokeh.index) {\n",
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       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
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       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
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       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
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       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
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       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
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       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
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       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
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       "      render(props, toinsert[toinsert.length - 1]);\n",
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       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(null);\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
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       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
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       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
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       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
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       "  }\n",
       "\n",
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       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
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       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
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       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
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       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
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       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
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       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
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       "      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",
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       "    }\n",
       "  };\n",
       "\n",
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       "  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",
       "  \n",
       "  var js_urls = [];\n",
       "  var css_urls = [];\n",
       "  \n",
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       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
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       "      /* BEGIN bokeh.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2019, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
       "      */\n",
       "      (function(root, factory) {\n",
       "        root[\"Bokeh\"] = factory();\n",
       "      })(this, function() {\n",
       "        var define;\n",
       "        var parent_require = typeof require === \"function\" && require\n",
       "        return (function(modules, entry, aliases, externals) {\n",
       "          if (aliases === undefined) aliases = {};\n",
       "          if (externals === undefined) externals = {};\n",
       "\n",
       "          var cache = {};\n",
       "\n",
       "          var normalize = function(name) {\n",
       "            if (typeof name === \"number\")\n",
       "              return name;\n",
       "\n",
       "            if (name === \"bokehjs\")\n",
       "              return entry;\n",
       "\n",
       "            var prefix = \"@bokehjs/\"\n",
       "            if (name.slice(0, prefix.length) === prefix)\n",
       "              name = name.slice(prefix.length)\n",
       "\n",
       "            var alias = aliases[name]\n",
       "            if (alias != null)\n",
       "              return alias;\n",
       "\n",
       "            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
       "            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
       "            if (index != null)\n",
       "              return index;\n",
       "\n",
       "            return name;\n",
       "          }\n",
       "\n",
       "          var require = function(name) {\n",
       "            var mod = cache[name];\n",
       "            if (!mod) {\n",
       "              var id = normalize(name);\n",
       "\n",
       "              mod = cache[id];\n",
       "              if (!mod) {\n",
       "                if (!modules[id]) {\n",
       "                  if (parent_require && externals[id]) {\n",
       "                    try {\n",
       "                      mod = {exports: parent_require(id)};\n",
       "                      cache[id] = cache[name] = mod;\n",
       "                      return mod.exports;\n",
       "                    } catch (e) {}\n",
       "                  }\n",
       "\n",
       "                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n",
       "                  err.code = 'MODULE_NOT_FOUND';\n",
       "                  throw err;\n",
       "                }\n",
       "\n",
       "                mod = {exports: {}};\n",
       "                cache[id] = cache[name] = mod;\n",
       "                modules[id].call(mod.exports, require, mod, mod.exports);\n",
       "              } else\n",
       "                cache[name] = mod;\n",
       "            }\n",
       "\n",
       "            return mod.exports;\n",
       "          }\n",
       "\n",
       "          var main = require(entry);\n",
       "          main.require = require;\n",
       "\n",
       "          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n",
       "            if (plugin_aliases === undefined) plugin_aliases = {};\n",
       "            if (plugin_externals === undefined) plugin_externals = {};\n",
       "\n",
       "            for (var name in plugin_modules) {\n",
       "              modules[name] = plugin_modules[name];\n",
       "            }\n",
       "\n",
       "            for (var name in plugin_aliases) {\n",
       "              aliases[name] = plugin_aliases[name];\n",
       "            }\n",
       "\n",
       "            for (var name in plugin_externals) {\n",
       "              externals[name] = plugin_externals[name];\n",
       "            }\n",
       "\n",
       "            var plugin = require(plugin_entry);\n",
       "\n",
       "            for (var name in plugin) {\n",
       "              main[name] = plugin[name];\n",
       "            }\n",
       "\n",
       "            return plugin;\n",
       "          }\n",
       "\n",
       "          return main;\n",
       "        })\n",
       "      ([\n",
       "      function _(n,o,r){n(1),function(n){for(var o in n)r.hasOwnProperty(o)||(r[o]=n[o])}(n(102))},\n",
       "      function _(n,c,f){n(2),n(11),n(14),n(21),n(49),n(52),n(87),n(94),n(100)},\n",
       "      function _(e,n,a){e(3)()||Object.defineProperty(Object,\"assign\",{value:e(4),configurable:!0,enumerable:!1,writable:!0})},\n",
       "      function _(r,t,o){t.exports=function(){var r,t=Object.assign;return\"function\"==typeof t&&(t(r={foo:\"raz\"},{bar:\"dwa\"},{trzy:\"trzy\"}),r.foo+r.bar+r.trzy===\"razdwatrzy\")}},\n",
       "      function _(t,r,n){var o=t(5),c=t(10),a=Math.max;r.exports=function(t,r){var n,f,h,i=a(arguments.length,2);for(t=Object(c(t)),h=function(o){try{t[o]=r[o]}catch(t){n||(n=t)}},f=1;f<i;++f)r=arguments[f],o(r).forEach(h);if(void 0!==n)throw n;return t}},\n",
       "      function _(e,t,c){t.exports=e(6)()?Object.keys:e(7)},\n",
       "      function _(t,r,e){r.exports=function(){try{return Object.keys(\"primitive\"),!0}catch(t){return!1}}},\n",
       "      function _(t,e,n){var c=t(8),r=Object.keys;e.exports=function(t){return r(c(t)?Object(t):t)}},\n",
       "      function _(n,r,t){var u=n(9)();r.exports=function(n){return n!==u&&null!==n}},\n",
       "      function _(n,o,t){o.exports=function(){}},\n",
       "      function _(n,r,e){var o=n(8);r.exports=function(n){if(!o(n))throw new TypeError(\"Cannot use null or undefined\");return n}},\n",
       "      function _(e,r,n){e(12)()||Object.defineProperty(Number,\"isInteger\",{value:e(13),configurable:!0,enumerable:!1,writable:!0})},\n",
       "      function _(n,t,e){t.exports=function(){var n=Number.isInteger;return\"function\"==typeof n&&(!n(\"23\")&&n(34)&&!n(32.34))}},\n",
       "      function _(n,t,e){t.exports=function(n){return\"number\"==typeof n&&n%1==0}},\n",
       "      function _(e,r,t){e(15)()||Object.defineProperty(String.prototype,\"repeat\",{value:e(16),configurable:!0,enumerable:!1,writable:!0})},\n",
       "      function _(o,f,t){f.exports=function(){return\"function\"==typeof\"foo\".repeat&&\"foofoo\"===\"foo\".repeat(2)}},\n",
       "      function _(r,n,t){var o=r(10),e=r(17);n.exports=function(r){var n,t=String(o(this));if((r=e(r))<0)throw new RangeError(\"Count must be >= 0\");if(!isFinite(r))throw new RangeError(\"Count must be < ∞\");for(n=\"\";r;)r%2&&(n+=t),r>1&&(t+=t),r>>=1;return n}},\n",
       "      function _(t,i,n){var r=t(18),a=Math.abs,o=Math.floor;i.exports=function(t){return isNaN(t)?0:0!==(t=Number(t))&&isFinite(t)?r(t)*o(a(t)):t}},\n",
       "      function _(n,t,i){t.exports=n(19)()?Math.sign:n(20)},\n",
       "      function _(n,t,o){t.exports=function(){var n=Math.sign;return\"function\"==typeof n&&(1===n(10)&&-1===n(-20))}},\n",
       "      function _(n,r,t){r.exports=function(n){return n=Number(n),isNaN(n)||0===n?n:n>0?1:-1}},\n",
       "      function _(e,r,a){e(22)()||Object.defineProperty(Array,\"from\",{value:e(23),configurable:!0,enumerable:!1,writable:!0})},\n",
       "      function _(n,o,r){o.exports=function(){var n,o,r=Array.from;return\"function\"==typeof r&&(o=r(n=[\"raz\",\"dwa\"]),Boolean(o&&o!==n&&\"dwa\"===o[1]))}},\n",
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       "      function _(r,e,n){var t=r(29),i=r(33),o=r(75),f=r(76),u=function(r,e){return r.replace(\"%v\",f(e))};e.exports=function(r,e,n){if(!i(n))throw new TypeError(u(e,r));if(!t(r)){if(\"default\"in n)return n.default;if(n.isOptional)return null}var f=o(n.errorMessage);throw t(f)||(f=e),new TypeError(u(f,r))}},\n",
       "      function _(t,n,r){var u=t(29),e=t(33),i=Object.prototype.toString;n.exports=function(t){if(!u(t))return null;if(e(t)){var n=t.toString;if(\"function\"!=typeof n)return null;if(n===i)return null}try{return\"\"+t}catch(t){return null}}},\n",
       "      function _(r,e,n){var t=r(77),u=/[\\n\\r\\u2028\\u2029]/g;e.exports=function(r){var e=t(r);return null===e?\"<Non-coercible to string value>\":(e.length>100&&(e=e.slice(0,99)+\"…\"),e=e.replace(u,function(r){switch(r){case\"\\n\":return\"\\\\n\";case\"\\r\":return\"\\\\r\";case\"\\u2028\":return\"\\\\u2028\";case\"\\u2029\":return\"\\\\u2029\";default:throw new Error(\"Unexpected character\")}}))}},\n",
       "      function _(t,r,n){r.exports=function(t){try{return t.toString()}catch(r){try{return String(t)}catch(t){return null}}}},\n",
       "      function _(n,t,i){var o=n(74),r=n(30);t.exports=function(n){return r(n)?n:o(n,\"%v is not a plain function\",arguments[1])}},\n",
       "      function _(n,r,t){var e=n(80),u=n(34),c=n(10);r.exports=function(n){var r=Object(c(n)),t=arguments[1],i=Object(arguments[2]);if(r!==n&&!t)return r;var f={};return t?e(t,function(r){(i.ensure||r in n)&&(f[r]=n[r])}):u(f,n),f}},\n",
       "      function _(r,o,f){o.exports=r(22)()?Array.from:r(23)},\n",
       "      function _(n,t,o){var c=n(47),r=n(82),u=Function.prototype.call;t.exports=function(n,t){var o={},a=arguments[2];return c(t),r(n,function(n,c,r,i){o[c]=u.call(t,a,n,c,r,i)}),o}},\n",
       "      function _(o,c,f){c.exports=o(83)(\"forEach\")},\n",
       "      function _(t,n,o){var c=t(47),e=t(10),r=Function.prototype.bind,u=Function.prototype.call,l=Object.keys,p=Object.prototype.propertyIsEnumerable;n.exports=function(t,n){return function(o,i){var a,f=arguments[2],y=arguments[3];return o=Object(e(o)),c(i),a=l(o),y&&a.sort(\"function\"==typeof y?r.call(y,o):void 0),\"function\"!=typeof t&&(t=a[t]),u.call(t,a,function(t,c){return p.call(o,t)?u.call(i,f,o[t],t,o,c):n})}}},\n",
       "      function _(t,_,e){var n,r=t(60),i=t(28),o=t(24),s=t(71),h=Object.defineProperty;n=_.exports=function(t){if(!(this instanceof n))throw new TypeError(\"Constructor requires 'new'\");t=String(t),s.call(this,t),h(this,\"__length__\",i(\"\",t.length))},r&&r(n,s),delete n.prototype.constructor,n.prototype=Object.create(s.prototype,{_next:i(function(){if(this.__list__)return this.__nextIndex__<this.__length__?this.__nextIndex__++:void this._unBind()}),_resolve:i(function(t){var _,e=this.__list__[t];return this.__nextIndex__===this.__length__?e:(_=e.charCodeAt(0))>=55296&&_<=56319?e+this.__list__[this.__nextIndex__++]:e})}),h(n.prototype,o.toStringTag,i(\"c\",\"String Iterator\"))},\n",
       "      function _(t,e,_){var r,i=t(60),o=t(36),n=t(28),s=t(71),a=t(24).toStringTag,c=Object.defineProperty;r=e.exports=function(t,e){if(!(this instanceof r))return new r(t,e);s.call(this,t.__setData__,t),e=e&&o.call(e,\"key+value\")?\"key+value\":\"value\",c(this,\"__kind__\",n(\"\",e))},i&&i(r,s),r.prototype=Object.create(s.prototype,{constructor:n(r),_resolve:n(function(t){return\"value\"===this.__kind__?this.__list__[t]:[this.__list__[t],this.__list__[t]]}),toString:n(function(){return\"[object Set Iterator]\"})}),c(r.prototype,a,n(\"c\",\"Set Iterator\"))},\n",
       "      function _(t,e,o){e.exports=\"undefined\"!=typeof Set&&\"[object Set]\"===Object.prototype.toString.call(Set.prototype)},\n",
       "      function _(e,a,n){e(88)()||Object.defineProperty(e(26),\"Map\",{value:e(89),configurable:!0,enumerable:!1,writable:!0})},\n",
       "      function _(t,e,n){e.exports=function(){var t,e;if(\"function\"!=typeof Map)return!1;try{t=new Map([[\"raz\",\"one\"],[\"dwa\",\"two\"],[\"trzy\",\"three\"]])}catch(t){return!1}return\"[object Map]\"===String(t)&&(3===t.size&&(\"function\"==typeof t.clear&&(\"function\"==typeof t.delete&&(\"function\"==typeof t.entries&&(\"function\"==typeof t.forEach&&(\"function\"==typeof t.get&&(\"function\"==typeof t.has&&(\"function\"==typeof t.keys&&(\"function\"==typeof t.set&&(\"function\"==typeof t.values&&(!1===(e=t.entries().next()).done&&(!!e.value&&(\"raz\"===e.value[0]&&\"one\"===e.value[1])))))))))))))}},\n",
       "      function _(t,e,a){var _,n=t(55),i=t(56),r=t(60),s=t(47),o=t(10),p=t(28),c=t(65),u=t(24),l=t(66),h=t(68),f=t(90),y=t(93),m=Function.prototype.call,D=Object.defineProperties,v=Object.getPrototypeOf;e.exports=_=function(){var t,e,a,n=arguments[0];if(!(this instanceof _))throw new TypeError(\"Constructor requires 'new'\");return a=y&&r&&Map!==_?r(new Map,v(this)):this,null!=n&&l(n),D(a,{__mapKeysData__:p(\"c\",t=[]),__mapValuesData__:p(\"c\",e=[])}),n?(h(n,function(a){var _=o(a)[0];a=a[1],-1===i.call(t,_)&&(t.push(_),e.push(a))},a),a):a},y&&(r&&r(_,Map),_.prototype=Object.create(Map.prototype,{constructor:p(_)})),c(D(_.prototype,{clear:p(function(){this.__mapKeysData__.length&&(n.call(this.__mapKeysData__),n.call(this.__mapValuesData__),this.emit(\"_clear\"))}),delete:p(function(t){var e=i.call(this.__mapKeysData__,t);return-1!==e&&(this.__mapKeysData__.splice(e,1),this.__mapValuesData__.splice(e,1),this.emit(\"_delete\",e,t),!0)}),entries:p(function(){return new f(this,\"key+value\")}),forEach:p(function(t){var e,a,_=arguments[1];for(s(t),a=(e=this.entries())._next();void 0!==a;)m.call(t,_,this.__mapValuesData__[a],this.__mapKeysData__[a],this),a=e._next()}),get:p(function(t){var e=i.call(this.__mapKeysData__,t);if(-1!==e)return this.__mapValuesData__[e]}),has:p(function(t){return-1!==i.call(this.__mapKeysData__,t)}),keys:p(function(){return new f(this,\"key\")}),set:p(function(t,e){var a,_=i.call(this.__mapKeysData__,t);return-1===_&&(_=this.__mapKeysData__.push(t)-1,a=!0),this.__mapValuesData__[_]=e,a&&this.emit(\"_add\",_,t),this}),size:p.gs(function(){return this.__mapKeysData__.length}),values:p(function(){return new f(this,\"value\")}),toString:p(function(){return\"[object Map]\"})})),Object.defineProperty(_.prototype,u.iterator,p(function(){return this.entries()})),Object.defineProperty(_.prototype,u.toStringTag,p(\"c\",\"Map\"))},\n",
       "      function _(t,_,e){var i,n=t(60),r=t(28),o=t(71),s=t(24).toStringTag,a=t(91),u=Object.defineProperties,c=o.prototype._unBind;i=_.exports=function(t,_){if(!(this instanceof i))return new i(t,_);o.call(this,t.__mapKeysData__,t),_&&a[_]||(_=\"key+value\"),u(this,{__kind__:r(\"\",_),__values__:r(\"w\",t.__mapValuesData__)})},n&&n(i,o),i.prototype=Object.create(o.prototype,{constructor:r(i),_resolve:r(function(t){return\"value\"===this.__kind__?this.__values__[t]:\"key\"===this.__kind__?this.__list__[t]:[this.__list__[t],this.__values__[t]]}),_unBind:r(function(){this.__values__=null,c.call(this)}),toString:r(function(){return\"[object Map Iterator]\"})}),Object.defineProperty(i.prototype,s,r(\"c\",\"Map Iterator\"))},\n",
       "      function _(e,u,a){u.exports=e(92)(\"key\",\"value\",\"key+value\")},\n",
       "      function _(r,t,n){var c=Array.prototype.forEach,o=Object.create;t.exports=function(r){var t=o(null);return c.call(arguments,function(r){t[r]=!0}),t}},\n",
       "      function _(t,e,o){e.exports=\"undefined\"!=typeof Map&&\"[object Map]\"===Object.prototype.toString.call(new Map)},\n",
       "      function _(e,a,n){e(95)()||Object.defineProperty(e(26),\"WeakMap\",{value:e(96),configurable:!0,enumerable:!1,writable:!0})},\n",
       "      function _(t,e,n){e.exports=function(){var t,e;if(\"function\"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},\"one\"],[{},\"two\"],[{},\"three\"]])}catch(t){return!1}return\"[object WeakMap]\"===String(t)&&(\"function\"==typeof t.set&&(t.set({},1)===t&&(\"function\"==typeof t.delete&&(\"function\"==typeof t.has&&\"one\"===t.get(e)))))}},\n",
       "      function _(t,e,a){var r,n=t(8),o=t(60),p=t(97),_=t(10),i=t(98),c=t(28),s=t(69),u=t(68),f=t(24).toStringTag,k=t(99),M=Array.isArray,h=Object.defineProperty,w=Object.prototype.hasOwnProperty,y=Object.getPrototypeOf;e.exports=r=function(){var t,e=arguments[0];if(!(this instanceof r))throw new TypeError(\"Constructor requires 'new'\");return t=k&&o&&WeakMap!==r?o(new WeakMap,y(this)):this,n(e)&&(M(e)||(e=s(e))),h(t,\"__weakMapData__\",c(\"c\",\"$weakMap$\"+i())),e?(u(e,function(e){_(e),t.set(e[0],e[1])}),t):t},k&&(o&&o(r,WeakMap),r.prototype=Object.create(WeakMap.prototype,{constructor:c(r)})),Object.defineProperties(r.prototype,{delete:c(function(t){return!!w.call(p(t),this.__weakMapData__)&&(delete t[this.__weakMapData__],!0)}),get:c(function(t){if(w.call(p(t),this.__weakMapData__))return t[this.__weakMapData__]}),has:c(function(t){return w.call(p(t),this.__weakMapData__)}),set:c(function(t,e){return h(p(t),this.__weakMapData__,c(\"c\",e)),this}),toString:c(function(){return\"[object WeakMap]\"})}),h(r.prototype,f,c(\"c\",\"WeakMap\"))},\n",
       "      function _(n,r,t){var o=n(63);r.exports=function(n){if(!o(n))throw new TypeError(n+\" is not an Object\");return n}},\n",
       "      function _(t,n,r){var e=Object.create(null),o=Math.random;n.exports=function(){var t;do{t=o().toString(36).slice(2)}while(e[t]);return t}},\n",
       "      function _(t,e,o){e.exports=\"function\"==typeof WeakMap&&\"[object WeakMap]\"===Object.prototype.toString.call(new WeakMap)},\n",
       "      function _(l,o,f){o.exports=l(101).polyfill()},\n",
       "      function _(t,e,r){\n",
       "      /*!\n",
       "           * @overview es6-promise - a tiny implementation of Promises/A+.\n",
       "           * @copyright Copyright (c) 2014 Yehuda Katz, Tom Dale, Stefan Penner and contributors (Conversion to ES6 API by Jake Archibald)\n",
       "           * @license   Licensed under MIT license\n",
       "           *            See https://raw.githubusercontent.com/stefanpenner/es6-promise/master/LICENSE\n",
       "           * @version   v4.2.6+9869a4bc\n",
       "           */\n",
       "      !function(t,n){\"object\"==typeof r&&void 0!==e?e.exports=n():\"function\"==typeof define&&define.amd?define(n):t.ES6Promise=n()}(this,function(){\"use strict\";function e(t){return\"function\"==typeof t}var r=Array.isArray?Array.isArray:function(t){return\"[object Array]\"===Object.prototype.toString.call(t)},n=0,o=void 0,i=void 0,s=function(t,e){v[n]=t,v[n+1]=e,2===(n+=2)&&(i?i(p):b())};var u=\"undefined\"!=typeof window?window:void 0,c=u||{},a=c.MutationObserver||c.WebKitMutationObserver,f=\"undefined\"==typeof self&&\"undefined\"!=typeof process&&\"[object process]\"==={}.toString.call(process),l=\"undefined\"!=typeof Uint8ClampedArray&&\"undefined\"!=typeof importScripts&&\"undefined\"!=typeof MessageChannel;function h(){var t=setTimeout;return function(){return t(p,1)}}var v=new Array(1e3);function p(){for(var t=0;t<n;t+=2){(0,v[t])(v[t+1]),v[t]=void 0,v[t+1]=void 0}n=0}var _,d,y,m,b=void 0;function w(t,e){var r=this,n=new this.constructor(j);void 0===n[A]&&L(n);var 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0,i=t._result,s=0;s<e.length;s+=3)n=e[s],o=e[s+r],n?D(r,n,o,i):o(i);t._subscribers.length=0}}function D(t,r,n,o){var i=e(n),s=void 0,u=void 0,c=void 0,a=void 0;if(i){if((s=function(t,e){try{return t(e)}catch(t){return M.error=t,M}}(n,o))===M?(a=!0,u=s.error,s.error=null):c=!0,r===s)return void Y(r,new TypeError(\"A promises callback cannot return that same promise.\"))}else s=o,c=!0;r._state!==S||(i&&c?O(r,s):a?Y(r,u):t===E?F(r,s):t===T&&Y(r,s))}var K=0;function L(t){t[A]=K++,t._state=void 0,t._result=void 0,t._subscribers=[]}var N=function(){function t(t,e){this._instanceConstructor=t,this.promise=new t(j),this.promise[A]||L(this.promise),r(e)?(this.length=e.length,this._remaining=e.length,this._result=new Array(this.length),0===this.length?F(this.promise,this._result):(this.length=this.length||0,this._enumerate(e),0===this._remaining&&F(this.promise,this._result))):Y(this.promise,new Error(\"Array Methods must be provided an Array\"))}return t.prototype._enumerate=function(t){for(var e=0;this._state===S&&e<t.length;e++)this._eachEntry(t[e],e)},t.prototype._eachEntry=function(t,e){var r=this._instanceConstructor,n=r.resolve;if(n===g){var o=P(t);if(o===w&&t._state!==S)this._settledAt(t._state,e,t._result);else if(\"function\"!=typeof o)this._remaining--,this._result[e]=t;else if(r===U){var i=new r(j);C(i,t,o),this._willSettleAt(i,e)}else this._willSettleAt(new r(function(e){return e(t)}),e)}else this._willSettleAt(n(t),e)},t.prototype._settledAt=function(t,e,r){var n=this.promise;n._state===S&&(this._remaining--,t===T?Y(n,r):this._result[e]=r),0===this._remaining&&F(n,this._result)},t.prototype._willSettleAt=function(t,e){var r=this;k(t,void 0,function(t){return r._settledAt(E,e,t)},function(t){return r._settledAt(T,e,t)})},t}();var U=function(){function t(e){this[A]=K++,this._result=this._state=void 0,this._subscribers=[],j!==e&&(\"function\"!=typeof e&&function(){throw new TypeError(\"You must pass a resolver function as the first argument to the promise 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       "      function _(n,o,r){!function(n){for(var o in n)r.hasOwnProperty(o)||(r[o]=n[o])}(n(103))},\n",
       "      function _(e,r,s){var o=e(104);s.version=o.version;var v=e(105);s.embed=v;var l=e(105);s.index=l.index;var a=e(450);s.protocol=a;var t=e(451);s._testing=t;var n=e(167);s.logger=n.logger,s.set_log_level=n.set_log_level;var g=e(128);s.settings=g.settings;var i=e(108);s.Models=i.Models;var d=e(106);s.documents=d.documents;var _=e(452);s.safely=_.safely},\n",
       "      function _(n,i,o){o.version=\"1.4.0\"},\n",
       "      function _(e,o,n){var r=e(106),d=e(167),t=e(119),s=e(127),i=e(109),_=e(441),u=e(443),l=e(442),a=e(441);n.add_document_standalone=a.add_document_standalone,n.index=a.index;var c=e(443);n.add_document_from_session=c.add_document_from_session;var m=e(448);n.embed_items_notebook=m.embed_items_notebook,n.kernels=m.kernels;var f=e(442);function v(e,o,n,t){i.isString(e)&&(e=JSON.parse(s.unescape(e)));var a={};for(var c in e){var m=e[c];a[c]=r.Document.from_json(m)}for(var f=0,v=o;f<v.length;f++){var g=v[f],O=l._resolve_element(g),b=l._resolve_root_elements(g);if(null!=g.docid)_.add_document_standalone(a[g.docid],O,b,g.use_for_title);else{if(null==g.sessionid)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'sessionid' was expected.\");var h=u._get_ws_url(n,t);d.logger.debug(\"embed: computed ws url: \"+h),u.add_document_from_session(h,g.sessionid,O,b,g.use_for_title).then(function(){console.log(\"Bokeh items were rendered successfully\")},function(e){console.log(\"Error rendering Bokeh items:\",e)})}}}n.BOKEH_ROOT=f.BOKEH_ROOT,n.embed_item=function(e,o){var n,r={},d=s.uuid4();r[d]=e.doc,null==o&&(o=e.target_id);var i=document.getElementById(o);null!=i&&i.classList.add(l.BOKEH_ROOT);var _={roots:((n={})[e.root_id]=o,n),docid:d};t.defer(function(){return v(r,[_])})},n.embed_items=function(e,o,n,r){t.defer(function(){return v(e,o,n,r)})}},\n",
       "      function _(n,o,r){function f(n){for(var o in n)r.hasOwnProperty(o)||(r[o]=n[o])}f(n(107)),f(n(199))},\n",
       "      function _(e,t,n){var o=e(108),r=e(104),i=e(167),s=e(376),a=e(115),_=e(116),l=e(126),c=e(196),u=e(117),d=e(110),h=e(125),f=e(118),v=e(109),m=e(339),p=e(170),g=e(166),y=e(199),w=function(){function e(e){this.document=e,this.session=null,this.subscribed_models=new u.Set}return e.prototype.send_event=function(e){null!=this.session&&this.session.send_event(e)},e.prototype.trigger=function(e){for(var t=0,n=this.subscribed_models.values;t<n.length;t++){var o=n[t];if(null==e.origin||e.origin.id===o){var r=this.document._all_models[o];null!=r&&r instanceof g.Model&&r._process_event(e)}}},e}();n.EventManager=w,w.__name__=\"EventManager\",n.documents=[],n.DEFAULT_TITLE=\"Bokeh Application\";var b=function(){function e(){n.documents.push(this),this._init_timestamp=Date.now(),this._title=n.DEFAULT_TITLE,this._roots=[],this._all_models={},this._all_models_by_name=new u.MultiDict,this._all_models_freeze_count=0,this._callbacks=[],this.event_manager=new w(this),this.idle=new _.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}return Object.defineProperty(e.prototype,\"layoutables\",{get:function(){return this._roots.filter(function(e){return e instanceof m.LayoutDOM})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"is_idle\",{get:function(){for(var e=0,t=this.layoutables;e<t.length;e++){var n=t[e];if(!this._idle_roots.has(n))return!1}return!0},enumerable:!0,configurable:!0}),e.prototype.notify_idle=function(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(\"document idle at \"+(Date.now()-this._init_timestamp)+\" ms\"),this.idle.emit())},e.prototype.clear=function(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}},e.prototype.interactive_start=function(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new s.LODStart)),this._interactive_timestamp=Date.now()},e.prototype.interactive_stop=function(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new s.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null},e.prototype.interactive_duration=function(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp},e.prototype.destructively_move=function(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();var t=d.copy(this._roots);this.clear();for(var n=0,o=t;n<o.length;n++){if(null!=(s=o[n]).document)throw new Error(\"Somehow we didn't detach \"+s)}if(0!==Object.keys(this._all_models).length)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(var r=0,i=t;r<i.length;r++){var s=i[r];e.add_root(s)}e.set_title(this._title)},e.prototype._push_all_models_freeze=function(){this._all_models_freeze_count+=1},e.prototype._pop_all_models_freeze=function(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()},e.prototype._invalidate_all_models=function(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()},e.prototype._recompute_all_models=function(){for(var e=new u.Set,t=0,n=this._roots;t<n.length;t++){var o=n[t];e=e.union(o.references())}for(var r=new u.Set(h.values(this._all_models)),i=r.diff(e),s=e.diff(r),a={},_=0,l=e.values;_<l.length;_++){var c=l[_];a[c.id]=c}for(var d=0,f=i.values;d<f.length;d++){var v=f[d];v.detach_document(),v instanceof g.Model&&null!=v.name&&this._all_models_by_name.remove_value(v.name,v)}for(var m=0,p=s.values;m<p.length;m++){var y=p[m];y.attach_document(this),y instanceof g.Model&&null!=y.name&&this._all_models_by_name.add_value(y.name,y)}this._all_models=a},e.prototype.roots=function(){return this._roots},e.prototype.add_root=function(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new y.RootAddedEvent(this,e,t))}},e.prototype.remove_root=function(e,t){var n=this._roots.indexOf(e);if(!(n<0)){this._push_all_models_freeze();try{this._roots.splice(n,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new y.RootRemovedEvent(this,e,t))}},e.prototype.title=function(){return this._title},e.prototype.set_title=function(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new y.TitleChangedEvent(this,e,t)))},e.prototype.get_model_by_id=function(e){return e in this._all_models?this._all_models[e]:null},e.prototype.get_model_by_name=function(e){return this._all_models_by_name.get_one(e,\"Multiple models are named '\"+e+\"'\")},e.prototype.on_change=function(e){d.includes(this._callbacks,e)||this._callbacks.push(e)},e.prototype.remove_on_change=function(e){var t=this._callbacks.indexOf(e);t>=0&&this._callbacks.splice(t,1)},e.prototype._trigger_on_change=function(e){for(var t=0,n=this._callbacks;t<n.length;t++){(0,n[t])(e)}},e.prototype._notify_change=function(e,t,n,o,r){\"name\"===t&&(this._all_models_by_name.remove_value(n,e),null!=o&&this._all_models_by_name.add_value(o,e));var i=null!=r?r.setter_id:void 0,s=null!=r?r.hint:void 0;this._trigger_on_change(new y.ModelChangedEvent(this,e,t,n,o,i,s))},e._references_json=function(e,t){void 0===t&&(t=!0);for(var n=[],o=0,r=e;o<r.length;o++){var i=r[o],s=i.ref();s.attributes=i.attributes_as_json(t),delete s.attributes.id,n.push(s)}return n},e._instantiate_object=function(e,t,n){var r=Object.assign(Object.assign({},n),{id:e,__deferred__:!0});return new(o.Models(t))(r)},e._instantiate_references_json=function(t,n){for(var o={},r=0,i=t;r<i.length;r++){var s=i[r],a=s.id,_=s.type,l=s.attributes||{},c=void 0;a in n?c=n[a]:(c=e._instantiate_object(a,_,l),null!=s.subtype&&c.set_subtype(s.subtype)),o[c.id]=c}return o},e._resolve_refs=function(e,t,n){function o(e){if(l.is_ref(e)){if(e.id in t)return t[e.id];if(e.id in n)return n[e.id];throw new Error(\"reference \"+JSON.stringify(e)+\" isn't known (not in Document?)\")}return v.isArray(e)?function(e){for(var t=[],n=0,r=e;n<r.length;n++){var i=r[n];t.push(o(i))}return t}(e):v.isPlainObject(e)?function(e){var t={};for(var n in e){var r=e[n];t[n]=o(r)}return t}(e):e}return o(e)},e._initialize_references_json=function(t,n,o){for(var r={},i=0,s=t;i<s.length;i++){var _=s[i],l=_.id,c=_.attributes,u=!(l in n),d=u?o[l]:n[l],h=e._resolve_refs(c,n,o);r[d.id]=[d,h,u]}function f(e,t){var n={};function o(r){if(r instanceof a.HasProps){if(!(r.id in n)&&r.id in e){n[r.id]=!0;var i=e[r.id],s=i[1],_=i[2];for(var l in s){o(s[l])}t(r,s,_)}}else if(v.isArray(r))for(var c=0,u=r;c<u.length;c++){o(u[c])}else if(v.isPlainObject(r))for(var d in r){o(r[d])}}for(var r in e){o(e[r][0])}}f(r,function(e,t,n){n&&e.setv(t,{silent:!0})}),f(r,function(e,t,n){n&&e.finalize()})},e._event_for_attribute_change=function(e,t,n,o,r){if(o.get_model_by_id(e.id).attribute_is_serializable(t)){var i={kind:\"ModelChanged\",model:{id:e.id,type:e.type},attr:t,new:n};return a.HasProps._json_record_references(o,n,r,!0),i}return null},e._events_to_sync_objects=function(t,n,o,r){for(var s=Object.keys(t.attributes),a=Object.keys(n.attributes),_=d.difference(s,a),l=d.difference(a,s),c=d.intersection(s,a),u=[],h=0,v=_;h<v.length;h++){var m=v[h];i.logger.warn(\"Server sent key \"+m+\" but we don't seem to have it in our JSON\")}for(var p=0,g=l;p<g.length;p++){m=g[p];var y=n.attributes[m];u.push(e._event_for_attribute_change(t,m,y,o,r))}for(var w=0,b=c;w<b.length;w++){m=b[w];var j=t.attributes[m];y=n.attributes[m];null==j&&null==y||(null==j||null==y?u.push(e._event_for_attribute_change(t,m,y,o,r)):f.isEqual(j,y)||u.push(e._event_for_attribute_change(t,m,y,o,r)))}return u.filter(function(e){return null!=e})},e._compute_patch_since_json=function(t,n){var o=n.to_json(!1);function r(e){for(var t={},n=0,o=e.roots.references;n<o.length;n++){var r=o[n];t[r.id]=r}return t}for(var i=r(t),s={},a=[],_=0,l=t.roots.root_ids;_<l.length;_++){s[p=l[_]]=i[p],a.push(p)}for(var c=r(o),u={},f=[],v=0,m=o.roots.root_ids;v<m.length;v++){var p;u[p=m[v]]=c[p],f.push(p)}if(a.sort(),f.sort(),d.difference(a,f).length>0||d.difference(f,a).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");var g={},y=[];for(var w in n._all_models)if(w in i){var b=e._events_to_sync_objects(i[w],c[w],n,g);y=y.concat(b)}return{references:e._references_json(h.values(g),!1),events:y}},e.prototype.to_json_string=function(e){return void 0===e&&(e=!0),JSON.stringify(this.to_json(e))},e.prototype.to_json=function(t){void 0===t&&(t=!0);var n=this._roots.map(function(e){return e.id}),o=h.values(this._all_models);return{version:r.version,title:this._title,roots:{root_ids:n,references:e._references_json(o,t)}}},e.from_json_string=function(t){var n=JSON.parse(t);return e.from_json(n)},e.from_json=function(t){i.logger.debug(\"Creating Document from JSON\");var n=t.version,o=-1!==n.indexOf(\"+\")||-1!==n.indexOf(\"-\"),s=\"Library versions: JS (\"+r.version+\") / Python (\"+n+\")\";o||r.version===n?i.logger.debug(s):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(s));var a=t.roots,_=a.root_ids,l=a.references,c=e._instantiate_references_json(l,{});e._initialize_references_json(l,{},c);for(var u=new e,d=0,h=_;d<h.length;d++){var f=h[d];u.add_root(c[f])}return u.set_title(t.title),u},e.prototype.replace_with_json=function(t){e.from_json(t).destructively_move(this)},e.prototype.create_json_patch_string=function(e){return JSON.stringify(this.create_json_patch(e))},e.prototype.create_json_patch=function(t){for(var n={},o=[],r=0,s=t;r<s.length;r++){var a=s[r];if(a.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",a.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");o.push(a.json(n))}return{events:o,references:e._references_json(h.values(n))}},e.prototype.apply_json_patch=function(t,n,o){var r;void 0===n&&(n=[]);for(var s=t.references,a=t.events,_=e._instantiate_references_json(s,this._all_models),l=0,u=a;l<u.length;l++){switch((w=u[l]).kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":var d=w.model.id;if(d in this._all_models)_[d]=this._all_models[d];else if(!(d in _))throw i.logger.warn(\"Got an event for unknown model \",w.model),new Error(\"event model wasn't known\")}}var h={},f={};for(var v in _){var m=_[v];v in this._all_models?h[v]=m:f[v]=m}e._initialize_references_json(s,h,f);for(var g=0,y=a;g<y.length;g++){var w;switch((w=y[g]).kind){case\"ModelChanged\":var b=w.model.id;if(!(b in this._all_models))throw new Error(\"Cannot apply patch to \"+b+\" which is not in the document\");var j=this._all_models[b],k=w.attr,E=w.model.type;if(\"data\"===k&&\"ColumnDataSource\"===E){var C=c.decode_column_data(w.new,n),O=C[0],S=C[1];j.setv({_shapes:S,data:O},{setter_id:o})}else{m=e._resolve_refs(w.new,h,f);j.setv(((r={})[k]=m,r),{setter_id:o})}break;case\"ColumnDataChanged\":if(!((J=w.column_source.id)in this._all_models))throw new Error(\"Cannot stream to \"+J+\" which is not in the document\");var D=this._all_models[J],z=c.decode_column_data(w.new,n);O=z[0],S=z[1];if(null!=w.cols){for(var M in D.data)M in O||(O[M]=D.data[M]);for(var M in D._shapes)M in S||(S[M]=D._shapes[M])}D.setv({_shapes:S,data:O},{setter_id:o,check_eq:!1});break;case\"ColumnsStreamed\":if(!((J=w.column_source.id)in this._all_models))throw new Error(\"Cannot stream to \"+J+\" which is not in the document\");if(!((D=this._all_models[J])instanceof p.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");O=w.data;var A=w.rollover;D.stream(O,A,o);break;case\"ColumnsPatched\":var J;if(!((J=w.column_source.id)in this._all_models))throw new Error(\"Cannot patch \"+J+\" which is not in the document\");if(!((D=this._all_models[J])instanceof p.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");var P=w.patches;D.patch(P,o);break;case\"RootAdded\":var R=_[w.model.id];this.add_root(R,o);break;case\"RootRemoved\":R=_[w.model.id];this.remove_root(R,o);break;case\"TitleChanged\":this.set_title(w.title,o);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(w))}}},e}();n.Document=b,b.__name__=\"Document\"},\n",
       "      function _(e,r,o){var s=e(109),i=e(115);o.overrides={};var t=new Map;o.Models=function(e){var r=o.overrides[e]||t.get(e);if(null==r)throw new Error(\"Model '\"+e+\"' does not exist. This could be due to a widget or a custom model not being registered before first usage.\");return r},o.Models.register=function(e,r){o.overrides[e]=r},o.Models.unregister=function(e){delete o.overrides[e]},o.Models.register_models=function(e,r,o){var n;if(void 0===r&&(r=!1),null!=e)for(var d in e){var l=e[d];if(n=l,s.isObject(n)&&n.prototype instanceof i.HasProps){var a=l.__qualified__;r||!t.has(a)?t.set(a,l):null!=o?o(a):console.warn(\"Model '\"+a+\"' was already registered\")}}},o.register_models=o.Models.register_models,o.Models.registered_names=function(){return Array.from(t.keys())};var n=e(129);o.register_models(n)},\n",
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       "          MERCHANTABLITY OR NON-INFRINGEMENT.\n",
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r=this.properties[t];r.update(),null!=r.spec.transform&&this.connect(r.spec.transform.change,function(){return e.transformchange.emit()})}this.initialize(),this.connect_signals()},t.prototype.initialize=function(){},t.prototype.connect_signals=function(){},t.prototype.disconnect_signals=function(){n.Signal.disconnectReceiver(this)},t.prototype.destroy=function(){this.disconnect_signals(),this.destroyed.emit()},t.prototype.clone=function(){return new this.constructor(this.attributes)},t.prototype._setv=function(e,t){var r=t.check_eq,i=t.silent,n=[],o=this._changing;this._changing=!0;var s=this.attributes;for(var a in e){var f=e[a];!1!==r&&_.isEqual(s[a],f)||n.push(a),s[a]=f}if(!i){n.length>0&&(this._pending=!0);for(var p=0;p<n.length;p++)this.properties[n[p]].change.emit()}if(!o){if(!i&&!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}},t.prototype.setv=function(e,t){for(var r in void 0===t&&(t={}),e)if(e.hasOwnProperty(r)){var i=r;if(null==this.props[i])throw new Error(\"property \"+this.type+\".\"+i+\" wasn't declared\");null!=t&&t.defaults||(this._set_after_defaults[r]=!0)}if(!u.isEmpty(e)){var n={};for(var r in e)n[r]=this.getv(r);this._setv(e,t);var o=t.silent;if(null==o||!o)for(var r in e)this._tell_document_about_change(r,n[r],this.getv(r),t)}},t.prototype.getv=function(e){if(null==this.props[e])throw new Error(\"property \"+this.type+\".\"+e+\" wasn't declared\");return this.attributes[e]},t.prototype.ref=function(){return s.create_ref(this)},t.prototype.set_subtype=function(e){this._subtype=e},t.prototype.attribute_is_serializable=function(e){var t=this.props[e];if(null==t)throw new Error(this.type+\".attribute_is_serializable('\"+e+\"'): \"+e+\" wasn't declared\");return!t.internal},t.prototype.serializable_attributes=function(){var e={};for(var t in this.attributes){var r=this.attributes[t];this.attribute_is_serializable(t)&&(e[t]=r)}return e},t._value_to_json=function(e,r,i){if(r instanceof t)return r.ref();if(c.isArray(r)){for(var n=[],o=0;o<r.length;o++){var s=r[o];n.push(t._value_to_json(o.toString(),s,r))}return n}if(c.isPlainObject(r)){var a={};for(var f in r)r.hasOwnProperty(f)&&(a[f]=t._value_to_json(f,r[f],r));return a}return r},t.prototype.attributes_as_json=function(e,r){void 0===e&&(e=!0),void 0===r&&(r=t._value_to_json);var i=this.serializable_attributes(),n={};for(var o in i)if(i.hasOwnProperty(o)){var s=i[o];e?n[o]=s:o in this._set_after_defaults&&(n[o]=s)}return r(\"attributes\",n,this)},t._json_record_references=function(e,r,i,n){if(null==r);else if(s.is_ref(r)){if(!(r.id in i)){var o=e.get_model_by_id(r.id);t._value_record_references(o,i,n)}}else if(c.isArray(r))for(var a=0,f=r;a<f.length;a++){var p=f[a];t._json_record_references(e,p,i,n)}else if(c.isPlainObject(r))for(var u in r)if(r.hasOwnProperty(u)){p=r[u];t._json_record_references(e,p,i,n)}},t._value_record_references=function(e,r,i){if(null==e);else if(e instanceof t){if(!(e.id in r)&&(r[e.id]=e,i))for(var n=0,o=e._immediate_references();n<o.length;n++){var s=o[n];t._value_record_references(s,r,!0)}}else if(e.buffer instanceof ArrayBuffer);else if(c.isArray(e))for(var a=0,f=e;a<f.length;a++){var p=f[a];t._value_record_references(p,r,i)}else if(c.isPlainObject(e))for(var u in e)if(e.hasOwnProperty(u)){p=e[u];t._value_record_references(p,r,i)}},t.prototype._immediate_references=function(){var e={},r=this.serializable_attributes();for(var i in r){var n=r[i];t._value_record_references(n,e,!1)}return u.values(e)},t.prototype.references=function(){var e={};return t._value_record_references(this,e,!0),u.values(e)},t.prototype._doc_attached=function(){},t.prototype.attach_document=function(e){if(null!=this.document&&this.document!=e)throw new Error(\"models must be owned by only a single document\");this.document=e,this._doc_attached()},t.prototype.detach_document=function(){this.document=null},t.prototype._tell_document_about_change=function(e,r,i,n){if(this.attribute_is_serializable(e)&&null!=this.document){var o={};t._value_record_references(i,o,!1);var s={};t._value_record_references(r,s,!1);var a=!1;for(var f in o)if(!(f in s)){a=!0;break}if(!a)for(var p in s)if(!(p in o)){a=!0;break}a&&this.document._invalidate_all_models(),this.document._notify_change(this,e,r,i,n)}},t.prototype.materialize_dataspecs=function(e){var t={};for(var r in this.properties){var i=this.properties[r];if(i instanceof a.VectorSpec&&(!i.optional||null!=i.spec.value||r in this._set_after_defaults)){var n=i.array(e);t[\"_\"+r]=n,null!=i.spec.field&&i.spec.field in e._shapes&&(t[\"_\"+r+\"_shape\"]=e._shapes[i.spec.field]),i instanceof a.DistanceSpec&&(t[\"max_\"+r]=p.max(n))}}return t},t}(n.Signalable());r.HasProps=l,l.init_HasProps()},\n",
       "      function _(n,t,e){var i=n(113),r=n(117),l=n(119),o=n(110),u=function(){function n(n,t){this.sender=n,this.name=t}return n.prototype.connect=function(n,t){void 0===t&&(t=null),a.has(this.sender)||a.set(this.sender,[]);var e=a.get(this.sender);if(null!=f(e,this,n,t))return!1;var i=t||n;s.has(i)||s.set(i,[]);var r=s.get(i),l={signal:this,slot:n,context:t};return e.push(l),r.push(l),!0},n.prototype.disconnect=function(n,t){void 0===t&&(t=null);var e=a.get(this.sender);if(null==e||0===e.length)return!1;var i=f(e,this,n,t);if(null==i)return!1;var r=t||n,l=s.get(r);return i.signal=null,h(e),h(l),!0},n.prototype.emit=function(n){for(var t=0,e=a.get(this.sender)||[];t<e.length;t++){var i=e[t],r=i.signal,l=i.slot,o=i.context;r===this&&l.call(o,n,this.sender)}},n}();e.Signal=u,u.__name__=\"Signal\";var c=function(n){function t(){return null!==n&&n.apply(this,arguments)||this}return i.__extends(t,n),t.prototype.emit=function(){n.prototype.emit.call(this,void 0)},t}(u);e.Signal0=c,c.__name__=\"Signal0\",function(n){n.disconnectBetween=function(n,t){var e=a.get(n);if(null!=e&&0!==e.length){var i=s.get(t);if(null!=i&&0!==i.length){for(var r=0,l=i;r<l.length;r++){var o=l[r];if(null==o.signal)return;o.signal.sender===n&&(o.signal=null)}h(e),h(i)}}},n.disconnectSender=function(n){var t=a.get(n);if(null!=t&&0!==t.length){for(var e=0,i=t;e<i.length;e++){var r=i[e];if(null==r.signal)return;var l=r.context||r.slot;r.signal=null,h(s.get(l))}h(t)}},n.disconnectReceiver=function(n){var t=s.get(n);if(null!=t&&0!==t.length){for(var e=0,i=t;e<i.length;e++){var r=i[e];if(null==r.signal)return;var l=r.signal.sender;r.signal=null,h(a.get(l))}h(t)}},n.disconnectAll=function(n){var t=a.get(n);if(null!=t&&0!==t.length){for(var e=0,i=t;e<i.length;e++)i[e].signal=null;h(t)}var r=s.get(n);if(null!=r&&0!==r.length){for(var l=0,o=r;l<o.length;l++)o[l].signal=null;h(r)}}}(u=e.Signal||(e.Signal={})),e.Signalable=function(n){return null!=n?function(n){function t(){return null!==n&&n.apply(this,arguments)||this}return i.__extends(t,n),t.prototype.connect=function(n,t){return n.connect(t,this)},t.prototype.disconnect=function(n,t){return n.disconnect(t,this)},t}(n):function(){function n(){}return n.prototype.connect=function(n,t){return n.connect(t,this)},n.prototype.disconnect=function(n,t){return n.disconnect(t,this)},n}()},function(n){n.connect=function(n,t){return n.connect(t,this)},n.disconnect=function(n,t){return n.disconnect(t,this)}}(e._Signalable||(e._Signalable={}));var a=new WeakMap,s=new WeakMap;function f(n,t,e,i){return o.find(n,function(n){return n.signal===t&&n.slot===e&&n.context===i})}var g=new r.Set;function h(n){0===g.size&&l.defer(v),g.add(n)}function v(){g.forEach(function(n){o.remove_by(n,function(n){return null==n.signal})}),g.clear()}},\n",
       "      function _(t,n,e){var r=t(110),i=t(118),o=t(109),s=function(){function t(){this._dict={}}return t.prototype._existing=function(t){return t in this._dict?this._dict[t]:null},t.prototype.add_value=function(t,n){var e=this._existing(t);null==e?this._dict[t]=n:o.isArray(e)?e.push(n):this._dict[t]=[e,n]},t.prototype.remove_value=function(t,n){var e=this._existing(t);if(o.isArray(e)){var s=r.difference(e,[n]);s.length>0?this._dict[t]=s:delete this._dict[t]}else i.isEqual(e,n)&&delete this._dict[t]},t.prototype.get_one=function(t,n){var e=this._existing(t);if(o.isArray(e)){if(1===e.length)return e[0];throw new Error(n)}return e},t}();e.MultiDict=s,s.__name__=\"MultiDict\";var a=function(){function t(n){if(null==n)this._values=[];else if(n instanceof t)this._values=r.copy(n._values);else{this._values=[];for(var e=0,i=n;e<i.length;e++){var o=i[e];this.add(o)}}}return Object.defineProperty(t.prototype,\"values\",{get:function(){return r.copy(this._values).sort()},enumerable:!0,configurable:!0}),t.prototype.toString=function(){return\"Set([\"+this.values.join(\",\")+\"])\"},Object.defineProperty(t.prototype,\"size\",{get:function(){return this._values.length},enumerable:!0,configurable:!0}),t.prototype.has=function(t){return-1!==this._values.indexOf(t)},t.prototype.add=function(t){this.has(t)||this._values.push(t)},t.prototype.remove=function(t){var n=this._values.indexOf(t);-1!==n&&this._values.splice(n,1)},t.prototype.toggle=function(t){var n=this._values.indexOf(t);-1===n?this._values.push(t):this._values.splice(n,1)},t.prototype.clear=function(){this._values=[]},t.prototype.union=function(n){return n=new t(n),new t(this._values.concat(n._values))},t.prototype.intersect=function(n){n=new t(n);for(var e=new t,r=0,i=n._values;r<i.length;r++){var o=i[r];this.has(o)&&n.has(o)&&e.add(o)}return e},t.prototype.diff=function(n){n=new t(n);for(var e=new t,r=0,i=this._values;r<i.length;r++){var o=i[r];n.has(o)||e.add(o)}return e},t.prototype.forEach=function(t,n){for(var e=0,r=this._values;e<r.length;e++){var i=r[e];t.call(n||this,i,i,this)}},t}();e.Set=a,a.__name__=\"Set\";var u=function(){function t(t,n,e){this.nrows=t,this.ncols=n,this._matrix=new Array(t);for(var r=0;r<t;r++){this._matrix[r]=new Array(n);for(var i=0;i<n;i++)this._matrix[r][i]=e(r,i)}}return t.prototype.at=function(t,n){return this._matrix[t][n]},t.prototype.map=function(n){var e=this;return new t(this.nrows,this.ncols,function(t,r){return n(e.at(t,r),t,r)})},t.prototype.apply=function(n){var e=this,r=t.from(n),i=this.nrows,o=this.ncols;if(i==r.nrows&&o==r.ncols)return new t(i,o,function(t,n){return r.at(t,n)(e.at(t,n),t,n)});throw new Error(\"dimensions don't match\")},t.prototype.to_sparse=function(){for(var t=[],n=0;n<this.nrows;n++)for(var e=0;e<this.ncols;e++){var r=this._matrix[n][e];t.push([r,n,e])}return t},t.from=function(n){return n instanceof t?n:new t(n.length,r.min(n.map(function(t){return t.length})),function(t,e){return n[t][e]})},t}();e.Matrix=u,u.__name__=\"Matrix\"},\n",
       "      function _(t,r,e){var n=t(109),o=Object.prototype.toString;e.isEqual=function(t,r){return function t(r,e,c,u){if(r===e)return 0!==r||1/r==1/e;if(null==r||null==e)return r===e;var i=o.call(r);if(i!==o.call(e))return!1;switch(i){case\"[object RegExp]\":case\"[object String]\":return\"\"+r==\"\"+e;case\"[object Number]\":return+r!=+r?+e!=+e:0==+r?1/+r==1/e:+r==+e;case\"[object Date]\":case\"[object Boolean]\":return+r==+e}var f=\"[object Array]\"===i;if(!f){if(\"object\"!=typeof r||\"object\"!=typeof e)return!1;var s=r.constructor,a=e.constructor;if(s!==a&&!(n.isFunction(s)&&s instanceof s&&n.isFunction(a)&&a instanceof a)&&\"constructor\"in r&&\"constructor\"in e)return!1}u=u||[];for(var l=(c=c||[]).length;l--;)if(c[l]===r)return u[l]===e;if(c.push(r),u.push(e),f){if((l=r.length)!==e.length)return!1;for(;l--;)if(!t(r[l],e[l],c,u))return!1}else{var b=Object.keys(r),p=void 0;if(l=b.length,Object.keys(e).length!==l)return!1;for(;l--;)if(p=b[l],!e.hasOwnProperty(p)||!t(r[p],e[p],c,u))return!1}return c.pop(),u.pop(),!0}(t,r)}},\n",
       "      function _(n,t,e){e.delay=function(n,t){return setTimeout(n,t)};var r=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;e.defer=function(n){return r(n)},e.throttle=function(n,t,e){var r,u,i;void 0===e&&(e={});var a=null,o=0,l=function(){o=!1===e.leading?0:Date.now(),a=null,i=n.apply(r,u),a||(r=u=null)};return function(){var c=Date.now();o||!1!==e.leading||(o=c);var f=t-(c-o);return r=this,u=arguments,f<=0||f>t?(a&&(clearTimeout(a),a=null),o=c,i=n.apply(r,u),a||(r=u=null)):a||!1===e.trailing||(a=setTimeout(l,f)),i}},e.once=function(n){var t,e=!1;return function(){return e||(e=!0,t=n()),t}}},\n",
       "      function _(e,t,n){var r=e(121),a=e(125);function l(e,t){var n={};for(var r in e){var a=e[r];n[t+r]=a}return n}var i={line_color:[r.ColorSpec,\"black\"],line_width:[r.NumberSpec,1],line_alpha:[r.NumberSpec,1],line_join:[r.LineJoin,\"bevel\"],line_cap:[r.LineCap,\"butt\"],line_dash:[r.Array,[]],line_dash_offset:[r.Number,0]};n.line=function(e){return void 0===e&&(e=\"\"),l(i,e)};var o={fill_color:[r.ColorSpec,\"gray\"],fill_alpha:[r.NumberSpec,1]};n.fill=function(e){return void 0===e&&(e=\"\"),l(o,e)};var c={hatch_color:[r.ColorSpec,\"black\"],hatch_alpha:[r.NumberSpec,1],hatch_scale:[r.NumberSpec,12],hatch_pattern:[r.StringSpec,null],hatch_weight:[r.NumberSpec,1],hatch_extra:[r.Any,{}]};n.hatch=function(e){return void 0===e&&(e=\"\"),l(c,e)};var h={text_font:[r.Font,\"helvetica\"],text_font_size:[r.FontSizeSpec,\"12pt\"],text_font_style:[r.FontStyle,\"normal\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"],text_line_height:[r.Number,1.2]};n.text=function(e){return void 0===e&&(e=\"\"),l(h,e)},n.create=function(e){for(var t={},r=0,l=e;r<l.length;r++){var i=l[r].split(\":\"),o=i[0],c=i[1],h=void 0;switch(o){case\"line\":h=n.line;break;case\"fill\":h=n.fill;break;case\"hatch\":h=n.hatch;break;case\"text\":h=n.text;break;default:throw new Error(\"Unknown property mixin kind '\"+o+\"'\")}a.extend(t,h(c))}return t}},\n",
       "      function _(t,n,e){var i=t(113),r=t(116),o=t(122),u=t(110),a=t(114),l=t(123),s=t(109);function c(t){try{return JSON.stringify(t)}catch(n){return t.toString()}}function p(t){return s.isPlainObject(t)&&(void 0===t.value?0:1)+(void 0===t.field?0:1)+(void 0===t.expr?0:1)==1}r.Signal,e.isSpec=p;var _=function(t){function n(n,e,i){var o=t.call(this)||this;return o.obj=n,o.attr=e,o.default_value=i,o.optional=!1,o.change=new r.Signal0(o.obj,\"change\"),o._init(),o.connect(o.change,function(){return o._init()}),o}return i.__extends(n,t),n.prototype.update=function(){this._init()},n.prototype.init=function(){},n.prototype.transform=function(t){return t},n.prototype.validate=function(t){if(!this.valid(t))throw new Error(this.obj.type+\".\"+this.attr+\" given invalid value: \"+c(t))},n.prototype.valid=function(t){return!0},n.prototype.value=function(t){if(void 0===t&&(t=!0),void 0===this.spec.value)throw new Error(\"attempted to retrieve property value for property without value specification\");var n=this.transform([this.spec.value])[0];return null!=this.spec.transform&&t&&(n=this.spec.transform.compute(n)),n},n.prototype._init=function(){var t,n=this.obj,e=this.attr,i=n.getv(e);if(void 0===i){var r=this.default_value;i=void 0!==r?r(n):null,n.setv(((t={})[e]=i,t),{silent:!0,defaults:!0})}s.isArray(i)?this.spec={value:i}:p(i)?this.spec=i:this.spec={value:i},null!=this.spec.value&&this.validate(this.spec.value),this.init()},n.prototype.toString=function(){return\"Prop(\"+this.obj+\".\"+this.attr+\", spec: \"+c(this.spec)+\")\"},n}(r.Signalable());e.Property=_,_.__name__=\"Property\";var f=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n}(_);e.Any=f,f.__name__=\"Any\";var h=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n.prototype.valid=function(t){return s.isArray(t)||t instanceof Float64Array},n}(_);e.Array=h,h.__name__=\"Array\";var d=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n.prototype.valid=function(t){return s.isBoolean(t)},n}(_);e.Boolean=d,d.__name__=\"Boolean\";var y=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n.prototype.valid=function(t){return s.isString(t)&&l.is_color(t)},n}(_);e.Color=y,y.__name__=\"Color\";var v=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n}(_);e.Instance=v,v.__name__=\"Instance\";var m=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n.prototype.valid=function(t){return s.isNumber(t)},n}(_);e.Number=m,m.__name__=\"Number\";var S=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n.prototype.valid=function(t){return s.isNumber(t)&&(0|t)==t},n}(m);e.Int=S,S.__name__=\"Int\";var g=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n}(m);e.Angle=g,g.__name__=\"Angle\";var x=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n.prototype.valid=function(t){return s.isNumber(t)&&0<=t&&t<=1},n}(m);e.Percent=x,x.__name__=\"Percent\";var b=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n.prototype.valid=function(t){return s.isString(t)},n}(_);e.String=b,b.__name__=\"String\";var P=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n}(b);e.FontSize=P,P.__name__=\"FontSize\";var L=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n}(b);e.Font=L,L.__name__=\"Font\";var T=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(n,t),n.prototype.valid=function(t){return s.isString(t)&&u.includes(this.enum_values,t)},n}(_);function A(t){return function(n){function e(){return 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       "      function _(e,t,n){n.Align=[\"start\",\"center\",\"end\"],n.Anchor=[\"top_left\",\"top_center\",\"top_right\",\"center_left\",\"center\",\"center_right\",\"bottom_left\",\"bottom_center\",\"bottom_right\"],n.AngleUnits=[\"deg\",\"rad\"],n.BoxOrigin=[\"corner\",\"center\"],n.ButtonType=[\"default\",\"primary\",\"success\",\"warning\",\"danger\"],n.Dimension=[\"width\",\"height\"],n.Dimensions=[\"width\",\"height\",\"both\"],n.Direction=[\"clock\",\"anticlock\"],n.Distribution=[\"uniform\",\"normal\"],n.FontStyle=[\"normal\",\"italic\",\"bold\",\"bold italic\"],n.HatchPatternType=[\"blank\",\"dot\",\"ring\",\"horizontal_line\",\"vertical_line\",\"cross\",\"horizontal_dash\",\"vertical_dash\",\"spiral\",\"right_diagonal_line\",\"left_diagonal_line\",\"diagonal_cross\",\"right_diagonal_dash\",\"left_diagonal_dash\",\"horizontal_wave\",\"vertical_wave\",\"criss_cross\",\" \",\".\",\"o\",\"-\",\"|\",\"+\",'\"',\":\",\"@\",\"/\",\"\\\\\",\"x\",\",\",\"`\",\"v\",\">\",\"*\"],n.HTTPMethod=[\"POST\",\"GET\"],n.HexTileOrientation=[\"pointytop\",\"flattop\"],n.HoverMode=[\"mouse\",\"hline\",\"vline\"],n.LatLon=[\"lat\",\"lon\"],n.LegendClickPolicy=[\"none\",\"hide\",\"mute\"],n.LegendLocation=n.Anchor,n.LineCap=[\"butt\",\"round\",\"square\"],n.LineJoin=[\"miter\",\"round\",\"bevel\"],n.LinePolicy=[\"prev\",\"next\",\"nearest\",\"interp\",\"none\"],n.Location=[\"above\",\"below\",\"left\",\"right\"],n.Logo=[\"normal\",\"grey\"],n.MarkerType=[\"asterisk\",\"circle\",\"circle_cross\",\"circle_x\",\"cross\",\"dash\",\"diamond\",\"diamond_cross\",\"hex\",\"inverted_triangle\",\"square\",\"square_cross\",\"square_x\",\"triangle\",\"x\"],n.Orientation=[\"vertical\",\"horizontal\"],n.OutputBackend=[\"canvas\",\"svg\",\"webgl\"],n.PaddingUnits=[\"percent\",\"absolute\"],n.Place=[\"above\",\"below\",\"left\",\"right\",\"center\"],n.PointPolicy=[\"snap_to_data\",\"follow_mouse\",\"none\"],n.RadiusDimension=[\"x\",\"y\",\"max\",\"min\"],n.RenderLevel=[\"image\",\"underlay\",\"glyph\",\"annotation\",\"overlay\"],n.RenderMode=[\"canvas\",\"css\"],n.ResetPolicy=[\"standard\",\"event_only\"],n.RoundingFunction=[\"round\",\"nearest\",\"floor\",\"rounddown\",\"ceil\",\"roundup\"],n.Side=[\"above\",\"below\",\"left\",\"right\"],n.SizingMode=[\"stretch_width\",\"stretch_height\",\"stretch_both\",\"scale_width\",\"scale_height\",\"scale_both\",\"fixed\"],n.SliderCallbackPolicy=[\"continuous\",\"throttle\",\"mouseup\"],n.Sort=[\"ascending\",\"descending\"],n.SpatialUnits=[\"screen\",\"data\"],n.StartEnd=[\"start\",\"end\"],n.StepMode=[\"after\",\"before\",\"center\"],n.TapBehavior=[\"select\",\"inspect\"],n.TextAlign=[\"left\",\"right\",\"center\"],n.TextBaseline=[\"top\",\"middle\",\"bottom\",\"alphabetic\",\"hanging\",\"ideographic\"],n.TextureRepetition=[\"repeat\",\"repeat_x\",\"repeat_y\",\"no_repeat\"],n.TickLabelOrientation=[\"vertical\",\"horizontal\",\"parallel\",\"normal\"],n.TooltipAttachment=[\"horizontal\",\"vertical\",\"left\",\"right\",\"above\",\"below\"],n.UpdateMode=[\"replace\",\"append\"],n.VerticalAlign=[\"top\",\"middle\",\"bottom\"]},\n",
       "      function _(r,e,t){var n=r(124),a=r(110);function o(r){var e=Number(r).toString(16);return 1==e.length?\"0\"+e:e}function l(r){if(0==(r+=\"\").indexOf(\"#\"))return r;if(n.is_svg_color(r))return n.svg_colors[r];if(0==r.indexOf(\"rgb\")){var e=r.replace(/^rgba?\\(|\\s+|\\)$/g,\"\").split(\",\"),t=e.slice(0,3).map(o).join(\"\");return 4==e.length&&(t+=o(Math.floor(255*parseFloat(e[3])))),\"#\"+t.slice(0,8)}return r}function i(r){var e;switch(r.substring(0,4)){case\"rgba\":e={start:\"rgba(\",len:4,alpha:!0};break;case\"rgb(\":e={start:\"rgb(\",len:3,alpha:!1};break;default:return!1}if(new RegExp(\".*?(\\\\.).*(,)\").test(r))throw new Error(\"color expects integers for rgb in rgb/rgba tuple, received \"+r);var t=r.replace(e.start,\"\").replace(\")\",\"\").split(\",\").map(parseFloat);if(t.length!=e.len)throw new Error(\"color expects rgba \"+e.len+\"-tuple, received \"+r);if(e.alpha&&!(0<=t[3]&&t[3]<=1))throw new Error(\"color expects rgba 4-tuple to have alpha value between 0 and 1\");if(a.includes(t.slice(0,3).map(function(r){return 0<=r&&r<=255}),!1))throw new Error(\"color expects rgb to have value between 0 and 255\");return!0}t.is_color=function(r){return n.is_svg_color(r.toLowerCase())||\"#\"==r.substring(0,1)||i(r)},t.rgb2hex=function(r,e,t){return\"#\"+o(255&r)+o(255&e)+o(255&t)},t.color2hex=l,t.color2rgba=function(r,e){if(void 0===e&&(e=1),!r)return[0,0,0,0];var t=l(r);(t=t.replace(/ |#/g,\"\")).length<=4&&(t=t.replace(/(.)/g,\"$1$1\"));for(var n=t.match(/../g).map(function(r){return parseInt(r,16)/255});n.length<3;)n.push(0);return n.length<4&&n.push(e),n.slice(0,4)},t.valid_rgb=i},\n",
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       "      function _(n,o,r){function f(n){for(var o in n)r.hasOwnProperty(o)||(r[o]=n[o])}f(n(130)),f(n(242)),f(n(269)),f(n(273)),f(n(288)),f(n(292)),f(n(298)),f(n(302)),f(n(332)),f(n(335)),f(n(337)),f(n(350)),f(n(217)),f(n(356)),f(n(360)),f(n(383)),f(n(384)),f(n(385)),f(n(386)),f(n(387)),f(n(393)),f(n(395)),f(n(405)),f(n(409))},\n",
       "      function _(a,e,o){var r=a(131);o.Annotation=r.Annotation;var n=a(168);o.Arrow=n.Arrow;var t=a(169);o.ArrowHead=t.ArrowHead;var v=a(169);o.OpenHead=v.OpenHead;var l=a(169);o.NormalHead=l.NormalHead;var d=a(169);o.TeeHead=d.TeeHead;var i=a(169);o.VeeHead=i.VeeHead;var A=a(200);o.Band=A.Band;var H=a(201);o.BoxAnnotation=H.BoxAnnotation;var T=a(203);o.ColorBar=T.ColorBar;var p=a(227);o.Label=p.Label;var L=a(229);o.LabelSet=L.LabelSet;var b=a(230);o.Legend=b.Legend;var B=a(231);o.LegendItem=B.LegendItem;var S=a(233);o.PolyAnnotation=S.PolyAnnotation;var g=a(234);o.Slope=g.Slope;var m=a(235);o.Span=m.Span;var w=a(228);o.TextAnnotation=w.TextAnnotation;var x=a(236);o.Title=x.Title;var P=a(237);o.ToolbarPanel=P.ToolbarPanel;var h=a(238);o.Tooltip=h.Tooltip;var k=a(241);o.Whisker=k.Whisker},\n",
       "      function _(t,e,n){var i=t(113),o=t(132),r=t(125),s=t(160),a=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i.__extends(e,t),Object.defineProperty(e.prototype,\"panel\",{get:function(){return this.layout},enumerable:!0,configurable:!0}),e.prototype.get_size=function(){if(this.model.visible){var t=this._get_size(),e=t.width,n=t.height;return{width:Math.round(e),height:Math.round(n)}}return{width:0,height:0}},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this);var n=this.model.properties;this.on_change(n.visible,function(){return e.plot_view.request_layout()})},e.prototype._get_size=function(){throw new Error(\"not implemented\")},Object.defineProperty(e.prototype,\"ctx\",{get:function(){return this.plot_view.canvas_view.ctx},enumerable:!0,configurable:!0}),e.prototype.set_data=function(t){var e,n,i=this.model.materialize_dataspecs(t);if(r.extend(this,i),this.plot_model.use_map){null!=this._x&&(e=o.project_xy(this._x,this._y),this._x=e[0],this._y=e[1]),null!=this._xs&&(n=o.project_xsys(this._xs,this._ys),this._xs=n[0],this._ys=n[1])}},Object.defineProperty(e.prototype,\"needs_clip\",{get:function(){return null==this.layout},enumerable:!0,configurable:!0}),e.prototype.serializable_state=function(){var e=t.prototype.serializable_state.call(this);return null==this.layout?e:Object.assign(Object.assign({},e),{bbox:this.layout.bbox.box})},e}(s.RendererView);n.AnnotationView=a,a.__name__=\"AnnotationView\";var l=function(t){function e(e){return t.call(this,e)||this}return i.__extends(e,t),e.init_Annotation=function(){this.override({level:\"annotation\"})},e}(s.Renderer);n.Annotation=l,l.__name__=\"Annotation\",l.init_Annotation()},\n",
       "      function _(r,n,t){var a=r(133),e=r(134),o=new e(\"GOOGLE\"),c=new e(\"WGS84\");t.wgs84_mercator=a(c,o);var i={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},u={lon:[-180,180],lat:[-85.06,85.06]};function l(r,n){for(var a=Math.min(r.length,n.length),e=new Array(a),o=new Array(a),c=0;c<a;c++){var i=t.wgs84_mercator.forward([r[c],n[c]]),u=i[0],l=i[1];e[c]=u,o[c]=l}return[e,o]}t.clip_mercator=function(r,n,t){var a=i[t],e=a[0],o=a[1];return[Math.max(r,e),Math.min(n,o)]},t.in_bounds=function(r,n){return r>u[n][0]&&r<u[n][1]},t.project_xy=l,t.project_xsys=function(r,n){for(var t=Math.min(r.length,n.length),a=new Array(t),e=new Array(t),o=0;o<t;o++){var c=l(r[o],n[o]),i=c[0],u=c[1];a[o]=i,e[o]=u}return[a,e]}},\n",
       "      function _(r,n,o){var t=r(134),i=r(155),u=t(\"WGS84\");function e(r,n,o){var t;return Array.isArray(o)?(t=i(r,n,o),3===o.length?[t.x,t.y,t.z]:[t.x,t.y]):i(r,n,o)}function a(r){return r instanceof t?r:r.oProj?r.oProj:t(r)}n.exports=function(r,n,o){r=a(r);var t,i=!1;return void 0===n?(n=r,r=u,i=!0):(void 0!==n.x||Array.isArray(n))&&(o=n,n=r,r=u,i=!0),n=a(n),o?e(r,n,o):(t={forward:function(o){return e(r,n,o)},inverse:function(o){return e(n,r,o)}},i&&(t.oProj=n),t)}},\n",
       "      function _(e,t,s){var a=e(135),i=e(142),r=e(143),o=e(151),n=e(153),p=e(154);function u(e,t){if(!(this instanceof u))return new u(e);t=t||function(e){if(e)throw e};var s=a(e);if(\"object\"==typeof s){var r=u.projections.get(s.projName);if(r){if(s.datumCode&&\"none\"!==s.datumCode){var h=n[s.datumCode];h&&(s.datum_params=h.towgs84?h.towgs84.split(\",\"):null,s.ellps=h.ellipse,s.datumName=h.datumName?h.datumName:s.datumCode)}s.k0=s.k0||1,s.axis=s.axis||\"enu\";var m=o.sphere(s.a,s.b,s.rf,s.ellps,s.sphere),d=o.eccentricity(m.a,m.b,m.rf,s.R_A),f=s.datum||p(s.datumCode,s.datum_params,m.a,m.b,d.es,d.ep2);i(this,s),i(this,r),this.a=m.a,this.b=m.b,this.rf=m.rf,this.sphere=m.sphere,this.es=d.es,this.e=d.e,this.ep2=d.ep2,this.datum=f,this.init(),t(null,this)}else t(e)}else t(e)}u.projections=r,u.projections.start(),t.exports=u},\n",
       "      function _(n,r,t){var u=n(136),i=n(141),o=n(138);var e=[\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\"];r.exports=function(n){return function(n){return\"string\"==typeof n}(n)?function(n){return n in u}(n)?u[n]:function(n){return e.some(function(r){return n.indexOf(r)>-1})}(n)?i(n):function(n){return\"+\"===n[0]}(n)?o(n):void 0:n}},\n",
       "      function _(r,n,i){var t=r(137),e=r(138),a=r(141);function f(r){var n=this;if(2===arguments.length){var i=arguments[1];\"string\"==typeof i?\"+\"===i.charAt(0)?f[r]=e(arguments[1]):f[r]=a(arguments[1]):f[r]=i}else if(1===arguments.length){if(Array.isArray(r))return r.map(function(r){Array.isArray(r)?f.apply(n,r):f(r)});if(\"string\"==typeof r){if(r in f)return f[r]}else\"EPSG\"in r?f[\"EPSG:\"+r.EPSG]=r:\"ESRI\"in r?f[\"ESRI:\"+r.ESRI]=r:\"IAU2000\"in r?f[\"IAU2000:\"+r.IAU2000]=r:console.log(r);return}}t(f),n.exports=f},\n",
       "      function _(t,l,G){l.exports=function(t){t(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),t(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),t(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),t.WGS84=t[\"EPSG:4326\"],t[\"EPSG:3785\"]=t[\"EPSG:3857\"],t.GOOGLE=t[\"EPSG:3857\"],t[\"EPSG:900913\"]=t[\"EPSG:3857\"],t[\"EPSG:102113\"]=t[\"EPSG:3857\"]}},\n",
       "      function _(n,t,o){var a=.017453292519943295,u=n(139),e=n(140);t.exports=function(n){var t,o,r,i={},f=n.split(\"+\").map(function(n){return n.trim()}).filter(function(n){return n}).reduce(function(n,t){var o=t.split(\"=\");return o.push(!0),n[o[0].toLowerCase()]=o[1],n},{}),s={proj:\"projName\",datum:\"datumCode\",rf:function(n){i.rf=parseFloat(n)},lat_0:function(n){i.lat0=n*a},lat_1:function(n){i.lat1=n*a},lat_2:function(n){i.lat2=n*a},lat_ts:function(n){i.lat_ts=n*a},lon_0:function(n){i.long0=n*a},lon_1:function(n){i.long1=n*a},lon_2:function(n){i.long2=n*a},alpha:function(n){i.alpha=parseFloat(n)*a},lonc:function(n){i.longc=n*a},x_0:function(n){i.x0=parseFloat(n)},y_0:function(n){i.y0=parseFloat(n)},k_0:function(n){i.k0=parseFloat(n)},k:function(n){i.k0=parseFloat(n)},a:function(n){i.a=parseFloat(n)},b:function(n){i.b=parseFloat(n)},r_a:function(){i.R_A=!0},zone:function(n){i.zone=parseInt(n,10)},south:function(){i.utmSouth=!0},towgs84:function(n){i.datum_params=n.split(\",\").map(function(n){return parseFloat(n)})},to_meter:function(n){i.to_meter=parseFloat(n)},units:function(n){i.units=n,e[n]&&(i.to_meter=e[n].to_meter)},from_greenwich:function(n){i.from_greenwich=n*a},pm:function(n){i.from_greenwich=(u[n]?u[n]:parseFloat(n))*a},nadgrids:function(n){\"@null\"===n?i.datumCode=\"none\":i.nadgrids=n},axis:function(n){3===n.length&&-1!==\"ewnsud\".indexOf(n.substr(0,1))&&-1!==\"ewnsud\".indexOf(n.substr(1,1))&&-1!==\"ewnsud\".indexOf(n.substr(2,1))&&(i.axis=n)}};for(t in f)o=f[t],t in s?\"function\"==typeof(r=s[t])?r(o):i[r]=o:i[t]=o;return\"string\"==typeof i.datumCode&&\"WGS84\"!==i.datumCode&&(i.datumCode=i.datumCode.toLowerCase()),i}},\n",
       "      function _(o,r,s){s.greenwich=0,s.lisbon=-9.131906111111,s.paris=2.337229166667,s.bogota=-74.080916666667,s.madrid=-3.687938888889,s.rome=12.452333333333,s.bern=7.439583333333,s.jakarta=106.807719444444,s.ferro=-17.666666666667,s.brussels=4.367975,s.stockholm=18.058277777778,s.athens=23.7163375,s.oslo=10.722916666667},\n",
       "      function _(t,e,f){f.ft={to_meter:.3048},f[\"us-ft\"]={to_meter:1200/3937}},\n",
       "      function _(e,a,t){var r=.017453292519943295,n=e(142);function o(e,a,t){e[a]=t.map(function(e){var a={};return l(e,a),a}).reduce(function(e,a){return n(e,a)},{})}function l(e,a){var t;Array.isArray(e)?(\"PARAMETER\"===(t=e.shift())&&(t=e.shift()),1===e.length?Array.isArray(e[0])?(a[t]={},l(e[0],a[t])):a[t]=e[0]:e.length?\"TOWGS84\"===t?a[t]=e:(a[t]={},[\"UNIT\",\"PRIMEM\",\"VERT_DATUM\"].indexOf(t)>-1?(a[t]={name:e[0].toLowerCase(),convert:e[1]},3===e.length&&(a[t].auth=e[2])):\"SPHEROID\"===t?(a[t]={name:e[0],a:e[1],rf:e[2]},4===e.length&&(a[t].auth=e[3])):[\"GEOGCS\",\"GEOCCS\",\"DATUM\",\"VERT_CS\",\"COMPD_CS\",\"LOCAL_CS\",\"FITTED_CS\",\"LOCAL_DATUM\"].indexOf(t)>-1?(e[0]=[\"name\",e[0]],o(a,t,e)):e.every(function(e){return Array.isArray(e)})?o(a,t,e):l(e,a[t])):a[t]=!0):a[e]=!0}function i(e){return e*r}a.exports=function(e,a){var t=JSON.parse((\",\"+e).replace(/\\s*\\,\\s*([A-Z_0-9]+?)(\\[)/g,',[\"$1\",').slice(1).replace(/\\s*\\,\\s*([A-Z_0-9]+?)\\]/g,',\"$1\"]').replace(/,\\[\"VERTCS\".+/,\"\")),r=t.shift(),o=t.shift();t.unshift([\"name\",o]),t.unshift([\"type\",r]),t.unshift(\"output\");var _={};return l(t,_),function(e){function a(a){var t=e.to_meter||1;return parseFloat(a,10)*t}\"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.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=parseFloat(e.UNIT.convert,10)*e.DATUM.SPHEROID.a):e.to_meter=parseFloat(e.UNIT.convert,10))),e.GEOGCS&&(e.GEOGCS.DATUM?e.datumCode=e.GEOGCS.DATUM.name.toLowerCase():e.datumCode=e.GEOGCS.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&&(\"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\"),e.GEOGCS.DATUM&&e.GEOGCS.DATUM.SPHEROID&&(e.ellps=e.GEOGCS.DATUM.SPHEROID.name.replace(\"_19\",\"\").replace(/[Cc]larke\\_18/,\"clrk\"),\"international\"===e.ellps.toLowerCase().slice(0,13)&&(e.ellps=\"intl\"),e.a=e.GEOGCS.DATUM.SPHEROID.a,e.rf=parseFloat(e.GEOGCS.DATUM.SPHEROID.rf,10)),~e.datumCode.indexOf(\"osgb_1936\")&&(e.datumCode=\"osgb36\")),e.b&&!isFinite(e.b)&&(e.b=e.a),[[\"standard_parallel_1\",\"Standard_Parallel_1\"],[\"standard_parallel_2\",\"Standard_Parallel_2\"],[\"false_easting\",\"False_Easting\"],[\"false_northing\",\"False_Northing\"],[\"central_meridian\",\"Central_Meridian\"],[\"latitude_of_origin\",\"Latitude_Of_Origin\"],[\"latitude_of_origin\",\"Central_Parallel\"],[\"scale_factor\",\"Scale_Factor\"],[\"k0\",\"scale_factor\"],[\"latitude_of_center\",\"Latitude_of_center\"],[\"lat0\",\"latitude_of_center\",i],[\"longitude_of_center\",\"Longitude_Of_Center\"],[\"longc\",\"longitude_of_center\",i],[\"x0\",\"false_easting\",a],[\"y0\",\"false_northing\",a],[\"long0\",\"central_meridian\",i],[\"lat0\",\"latitude_of_origin\",i],[\"lat0\",\"standard_parallel_1\",i],[\"lat1\",\"standard_parallel_1\",i],[\"lat2\",\"standard_parallel_2\",i],[\"alpha\",\"azimuth\",i],[\"srsCode\",\"name\"]].forEach(function(a){return t=e,n=(r=a)[0],o=r[1],void(!(n in t)&&o in t&&(t[n]=t[o],3===r.length&&(t[n]=r[2](t[n]))));var t,r,n,o}),e.long0||!e.longc||\"Albers_Conic_Equal_Area\"!==e.projName&&\"Lambert_Azimuthal_Equal_Area\"!==e.projName||(e.long0=e.longc),e.lat_ts||!e.lat1||\"Stereographic_South_Pole\"!==e.projName&&\"Polar Stereographic (variant B)\"!==e.projName||(e.lat0=i(e.lat1>0?90:-90),e.lat_ts=e.lat1)}(_.output),n(a,_.output)}},\n",
       "      function _(n,r,i){r.exports=function(n,r){var i,o;if(n=n||{},!r)return n;for(o in r)void 0!==(i=r[o])&&(n[o]=i);return n}},\n",
       "      function _(n,o,t){var r=[n(144),n(150)],e={},a=[];function i(n,o){var t=a.length;return n.names?(a[t]=n,n.names.forEach(function(n){e[n.toLowerCase()]=t}),this):(console.log(o),!0)}t.add=i,t.get=function(n){if(!n)return!1;var o=n.toLowerCase();return void 0!==e[o]&&a[e[o]]?a[e[o]]:void 0},t.start=function(){r.forEach(i)}},\n",
       "      function _(t,s,i){var h=t(145),a=Math.PI/2,e=57.29577951308232,r=t(146),n=Math.PI/4,l=t(148),o=t(149);i.init=function(){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=h(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)):this.k0||(this.k?this.k0=this.k:this.k0=1)},i.forward=function(t){var s,i,h=t.x,o=t.y;if(o*e>90&&o*e<-90&&h*e>180&&h*e<-180)return null;if(Math.abs(Math.abs(o)-a)<=1e-10)return null;if(this.sphere)s=this.x0+this.a*this.k0*r(h-this.long0),i=this.y0+this.a*this.k0*Math.log(Math.tan(n+.5*o));else{var M=Math.sin(o),u=l(this.e,o,M);s=this.x0+this.a*this.k0*r(h-this.long0),i=this.y0-this.a*this.k0*Math.log(u)}return t.x=s,t.y=i,t},i.inverse=function(t){var s,i,h=t.x-this.x0,e=t.y-this.y0;if(this.sphere)i=a-2*Math.atan(Math.exp(-e/(this.a*this.k0)));else{var n=Math.exp(-e/(this.a*this.k0));if(-9999===(i=o(this.e,n)))return null}return s=r(this.long0+h/(this.a*this.k0)),t.x=s,t.y=i,t},i.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"]},\n",
       "      function _(t,n,r){n.exports=function(t,n,r){var o=t*n;return r/Math.sqrt(1-o*o)}},\n",
       "      function _(t,n,a){var r=2*Math.PI,o=t(147);n.exports=function(t){return Math.abs(t)<=3.14159265359?t:t-o(t)*r}},\n",
       "      function _(n,t,o){t.exports=function(n){return n<0?-1:1}},\n",
       "      function _(t,a,n){var r=Math.PI/2;a.exports=function(t,a,n){var o=t*n,h=.5*t;return o=Math.pow((1-o)/(1+o),h),Math.tan(.5*(r-a))/o}},\n",
       "      function _(a,t,n){var r=Math.PI/2;t.exports=function(a,t){for(var n,h,M=.5*a,o=r-2*Math.atan(t),e=0;e<=15;e++)if(n=a*Math.sin(o),o+=h=r-2*Math.atan(t*Math.pow((1-n)/(1+n),M))-o,Math.abs(h)<=1e-10)return o;return-9999}},\n",
       "      function _(n,i,t){function e(n){return n}t.init=function(){},t.forward=e,t.inverse=e,t.names=[\"longlat\",\"identity\"]},\n",
       "      function _(r,e,t){var n=r(152);t.eccentricity=function(r,e,t,n){var a=r*r,c=e*e,f=(a-c)/a,i=0;return n?(a=(r*=1-f*(.16666666666666666+f*(.04722222222222222+.022156084656084655*f)))*r,f=0):i=Math.sqrt(f),{es:f,e:i,ep2:(a-c)/c}},t.sphere=function(r,e,t,a,c){if(!r){var f=n[a];f||(f=n.WGS84),r=f.a,e=f.b,t=f.rf}return t&&!e&&(e=(1-1/t)*r),(0===t||Math.abs(r-e)<1e-10)&&(c=!0,e=r),{a:r,b:e,rf:t,sphere:c}}},\n",
       "      function _(e,a,l){l.MERIT={a:6378137,rf:298.257,ellipseName:\"MERIT 1983\"},l.SGS85={a:6378136,rf:298.257,ellipseName:\"Soviet Geodetic System 85\"},l.GRS80={a:6378137,rf:298.257222101,ellipseName:\"GRS 1980(IUGG, 1980)\"},l.IAU76={a:6378140,rf:298.257,ellipseName:\"IAU 1976\"},l.airy={a:6377563.396,b:6356256.91,ellipseName:\"Airy 1830\"},l.APL4={a:6378137,rf:298.25,ellipseName:\"Appl. Physics. 1965\"},l.NWL9D={a:6378145,rf:298.25,ellipseName:\"Naval Weapons Lab., 1965\"},l.mod_airy={a:6377340.189,b:6356034.446,ellipseName:\"Modified Airy\"},l.andrae={a:6377104.43,rf:300,ellipseName:\"Andrae 1876 (Den., Iclnd.)\"},l.aust_SA={a:6378160,rf:298.25,ellipseName:\"Australian Natl & S. Amer. 1969\"},l.GRS67={a:6378160,rf:298.247167427,ellipseName:\"GRS 67(IUGG 1967)\"},l.bessel={a:6377397.155,rf:299.1528128,ellipseName:\"Bessel 1841\"},l.bess_nam={a:6377483.865,rf:299.1528128,ellipseName:\"Bessel 1841 (Namibia)\"},l.clrk66={a:6378206.4,b:6356583.8,ellipseName:\"Clarke 1866\"},l.clrk80={a:6378249.145,rf:293.4663,ellipseName:\"Clarke 1880 mod.\"},l.clrk58={a:6378293.645208759,rf:294.2606763692654,ellipseName:\"Clarke 1858\"},l.CPM={a:6375738.7,rf:334.29,ellipseName:\"Comm. des Poids et Mesures 1799\"},l.delmbr={a:6376428,rf:311.5,ellipseName:\"Delambre 1810 (Belgium)\"},l.engelis={a:6378136.05,rf:298.2566,ellipseName:\"Engelis 1985\"},l.evrst30={a:6377276.345,rf:300.8017,ellipseName:\"Everest 1830\"},l.evrst48={a:6377304.063,rf:300.8017,ellipseName:\"Everest 1948\"},l.evrst56={a:6377301.243,rf:300.8017,ellipseName:\"Everest 1956\"},l.evrst69={a:6377295.664,rf:300.8017,ellipseName:\"Everest 1969\"},l.evrstSS={a:6377298.556,rf:300.8017,ellipseName:\"Everest (Sabah & Sarawak)\"},l.fschr60={a:6378166,rf:298.3,ellipseName:\"Fischer (Mercury Datum) 1960\"},l.fschr60m={a:6378155,rf:298.3,ellipseName:\"Fischer 1960\"},l.fschr68={a:6378150,rf:298.3,ellipseName:\"Fischer 1968\"},l.helmert={a:6378200,rf:298.3,ellipseName:\"Helmert 1906\"},l.hough={a:6378270,rf:297,ellipseName:\"Hough\"},l.intl={a:6378388,rf:297,ellipseName:\"International 1909 (Hayford)\"},l.kaula={a:6378163,rf:298.24,ellipseName:\"Kaula 1961\"},l.lerch={a:6378139,rf:298.257,ellipseName:\"Lerch 1979\"},l.mprts={a:6397300,rf:191,ellipseName:\"Maupertius 1738\"},l.new_intl={a:6378157.5,b:6356772.2,ellipseName:\"New International 1967\"},l.plessis={a:6376523,rf:6355863,ellipseName:\"Plessis 1817 (France)\"},l.krass={a:6378245,rf:298.3,ellipseName:\"Krassovsky, 1942\"},l.SEasia={a:6378155,b:6356773.3205,ellipseName:\"Southeast Asia\"},l.walbeck={a:6376896,b:6355834.8467,ellipseName:\"Walbeck\"},l.WGS60={a:6378165,rf:298.3,ellipseName:\"WGS 60\"},l.WGS66={a:6378145,rf:298.25,ellipseName:\"WGS 66\"},l.WGS7={a:6378135,rf:298.26,ellipseName:\"WGS 72\"},l.WGS84={a:6378137,rf:298.257223563,ellipseName:\"WGS 84\"},l.sphere={a:6370997,b:6370997,ellipseName:\"Normal Sphere (r=6370997)\"}},\n",
       "      function _(e,a,s){s.wgs84={towgs84:\"0,0,0\",ellipse:\"WGS84\",datumName:\"WGS84\"},s.ch1903={towgs84:\"674.374,15.056,405.346\",ellipse:\"bessel\",datumName:\"swiss\"},s.ggrs87={towgs84:\"-199.87,74.79,246.62\",ellipse:\"GRS80\",datumName:\"Greek_Geodetic_Reference_System_1987\"},s.nad83={towgs84:\"0,0,0\",ellipse:\"GRS80\",datumName:\"North_American_Datum_1983\"},s.nad27={nadgrids:\"@conus,@alaska,@ntv2_0.gsb,@ntv1_can.dat\",ellipse:\"clrk66\",datumName:\"North_American_Datum_1927\"},s.potsdam={towgs84:\"606.0,23.0,413.0\",ellipse:\"bessel\",datumName:\"Potsdam Rauenberg 1950 DHDN\"},s.carthage={towgs84:\"-263.0,6.0,431.0\",ellipse:\"clark80\",datumName:\"Carthage 1934 Tunisia\"},s.hermannskogel={towgs84:\"653.0,-212.0,449.0\",ellipse:\"bessel\",datumName:\"Hermannskogel\"},s.ire65={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"mod_airy\",datumName:\"Ireland 1965\"},s.rassadiran={towgs84:\"-133.63,-157.5,-158.62\",ellipse:\"intl\",datumName:\"Rassadiran\"},s.nzgd49={towgs84:\"59.47,-5.04,187.44,0.47,-0.1,1.024,-4.5993\",ellipse:\"intl\",datumName:\"New Zealand Geodetic Datum 1949\"},s.osgb36={towgs84:\"446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894\",ellipse:\"airy\",datumName:\"Airy 1830\"},s.s_jtsk={towgs84:\"589,76,480\",ellipse:\"bessel\",datumName:\"S-JTSK (Ferro)\"},s.beduaram={towgs84:\"-106,-87,188\",ellipse:\"clrk80\",datumName:\"Beduaram\"},s.gunung_segara={towgs84:\"-403,684,41\",ellipse:\"bessel\",datumName:\"Gunung Segara Jakarta\"},s.rnb72={towgs84:\"106.869,-52.2978,103.724,-0.33657,0.456955,-1.84218,1\",ellipse:\"intl\",datumName:\"Reseau National Belge 1972\"}},\n",
       "      function _(a,m,t){var p=1,u=2,r=4,_=5,d=484813681109536e-20;m.exports=function(a,m,t,s,e,n){var o={};return o.datum_type=r,a&&\"none\"===a&&(o.datum_type=_),m&&(o.datum_params=m.map(parseFloat),0===o.datum_params[0]&&0===o.datum_params[1]&&0===o.datum_params[2]||(o.datum_type=p),o.datum_params.length>3&&(0===o.datum_params[3]&&0===o.datum_params[4]&&0===o.datum_params[5]&&0===o.datum_params[6]||(o.datum_type=u,o.datum_params[3]*=d,o.datum_params[4]*=d,o.datum_params[5]*=d,o.datum_params[6]=o.datum_params[6]/1e6+1))),o.a=t,o.b=s,o.es=e,o.ep2=n,o}},\n",
       "      function _(t,e,r){var m=.017453292519943295,a=57.29577951308232,o=1,u=2,n=t(156),d=t(158),y=t(134),_=t(159);e.exports=function t(e,r,x){var i;return Array.isArray(x)&&(x=_(x)),e.datum&&r.datum&&function(t,e){return(t.datum.datum_type===o||t.datum.datum_type===u)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===o||e.datum.datum_type===u)&&\"WGS84\"!==t.datumCode}(e,r)&&(x=t(e,i=new y(\"WGS84\"),x),e=i),\"enu\"!==e.axis&&(x=d(e,!1,x)),\"longlat\"===e.projName?x={x:x.x*m,y:x.y*m}:(e.to_meter&&(x={x:x.x*e.to_meter,y:x.y*e.to_meter}),x=e.inverse(x)),e.from_greenwich&&(x.x+=e.from_greenwich),x=n(e.datum,r.datum,x),r.from_greenwich&&(x={x:x.x-r.grom_greenwich,y:x.y}),\"longlat\"===r.projName?x={x:x.x*a,y:x.y*a}:(x=r.forward(x),r.to_meter&&(x={x:x.x/r.to_meter,y:x.y/r.to_meter})),\"enu\"!==r.axis?d(r,!0,x):x}},\n",
       "      function _(t,e,a){var u=1,m=2,o=t(157);function c(t){return t===u||t===m}e.exports=function(t,e,a){return o.compareDatums(t,e)?a:5===t.datum_type||5===e.datum_type?a:t.es!==e.es||t.a!==e.a||c(t.datum_type)||c(e.datum_type)?(a=o.geodeticToGeocentric(a,t.es,t.a),c(t.datum_type)&&(a=o.geocentricToWgs84(a,t.datum_type,t.datum_params)),c(e.datum_type)&&(a=o.geocentricFromWgs84(a,e.datum_type,e.datum_params)),o.geocentricToGeodetic(a,e.es,e.a,e.b)):a}},\n",
       "      function _(a,t,r){var m=Math.PI/2;r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(this.es-t.es)>5e-11)&&(1===a.datum_type?this.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:2!==a.datum_type||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var s,u,e,n,d=a.x,i=a.y,p=a.z?a.z:0;if(i<-m&&i>-1.001*m)i=-m;else if(i>m&&i<1.001*m)i=m;else if(i<-m||i>m)return null;return d>Math.PI&&(d-=2*Math.PI),u=Math.sin(i),n=Math.cos(i),e=u*u,{x:((s=r/Math.sqrt(1-t*e))+p)*n*Math.cos(d),y:(s+p)*n*Math.sin(d),z:(s*(1-t)+p)*u}},r.geocentricToGeodetic=function(a,t,r,s){var u,e,n,d,i,p,_,h,o,y,c,z,M,x,f,g=a.x,l=a.y,q=a.z?a.z:0;if(u=Math.sqrt(g*g+l*l),e=Math.sqrt(g*g+l*l+q*q),u/r<1e-12){if(x=0,e/r<1e-12)return m,f=-s,{x:a.x,y:a.y,z:a.z}}else x=Math.atan2(l,g);n=q/e,h=(d=u/e)*(1-t)*(i=1/Math.sqrt(1-t*(2-t)*d*d)),o=n*i,M=0;do{M++,p=t*(_=r/Math.sqrt(1-t*o*o))/(_+(f=u*h+q*o-_*(1-t*o*o))),z=(c=n*(i=1/Math.sqrt(1-p*(2-p)*d*d)))*h-(y=d*(1-p)*i)*o,h=y,o=c}while(z*z>1e-24&&M<30);return{x:x,y:Math.atan(c/Math.abs(y)),z:f}},r.geocentricToWgs84=function(a,t,r){if(1===t)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(2===t){var m=r[0],s=r[1],u=r[2],e=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-e*a.z)+s,z:i*(-n*a.x+e*a.y+a.z)+u}}},r.geocentricFromWgs84=function(a,t,r){if(1===t)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(2===t){var m=r[0],s=r[1],u=r[2],e=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,_=(a.y-s)/i,h=(a.z-u)/i;return{x:p+d*_-n*h,y:-d*p+_+e*h,z:n*p-e*_+h}}}},\n",
       "      function _(e,a,r){a.exports=function(e,a,r){var s,c,i,n=r.x,o=r.y,t=r.z||0,u={};for(i=0;i<3;i++)if(!a||2!==i||void 0!==r.z)switch(0===i?(s=n,c=\"x\"):1===i?(s=o,c=\"y\"):(s=t,c=\"z\"),e.axis[i]){case\"e\":u[c]=s;break;case\"w\":u[c]=-s;break;case\"n\":u[c]=s;break;case\"s\":u[c]=-s;break;case\"u\":void 0!==r[c]&&(u.z=s);break;case\"d\":void 0!==r[c]&&(u.z=-s);break;default:return null}return u}},\n",
       "      function _(n,t,e){t.exports=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,t,n){var i=e(113),r=e(161),o=e(165),l=e(121),u=e(166),_=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype.initialize=function(){e.prototype.initialize.call(this),this.visuals=new o.Visuals(this.model),this._has_finished=!0},Object.defineProperty(t.prototype,\"plot_view\",{get:function(){return this.parent},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"plot_model\",{get:function(){return this.parent.model},enumerable:!0,configurable:!0}),t.prototype.request_render=function(){this.plot_view.request_render()},t.prototype.map_to_screen=function(e,t){return this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name)},Object.defineProperty(t.prototype,\"needs_clip\",{get:function(){return!1},enumerable:!0,configurable:!0}),t.prototype.notify_finished=function(){this.plot_view.notify_finished()},Object.defineProperty(t.prototype,\"has_webgl\",{get:function(){return!1},enumerable:!0,configurable:!0}),t}(r.DOMView);n.RendererView=_,_.__name__=\"RendererView\";var p=function(e){function t(t){return e.call(this,t)||this}return i.__extends(t,e),t.init_Renderer=function(){this.define({level:[l.RenderLevel],visible:[l.Boolean,!0]})},t}(u.Model);n.Renderer=p,p.__name__=\"Renderer\",p.init_Renderer()},\n",
       "      function _(e,t,n){var i=e(113),r=e(162),o=e(163),s=e(164),p=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype.initialize=function(){e.prototype.initialize.call(this),this._has_finished=!1,this.el=this._createElement()},t.prototype.remove=function(){o.removeElement(this.el),e.prototype.remove.call(this)},t.prototype.css_classes=function(){return[]},t.prototype.cursor=function(e,t){return null},t.prototype.render=function(){},t.prototype.renderTo=function(e){e.appendChild(this.el),this.render()},t.prototype.has_finished=function(){return this._has_finished},Object.defineProperty(t.prototype,\"_root_element\",{get:function(){return o.parent(this.el,\".\"+s.bk_root)||document.body},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"is_idle\",{get:function(){return this.has_finished()},enumerable:!0,configurable:!0}),t.prototype._createElement=function(){return o.createElement(this.tagName,{class:this.css_classes()})},t}(r.View);n.DOMView=p,p.__name__=\"DOMView\",p.prototype.tagName=\"div\"},\n",
       "      function _(t,e,n){var o=t(113),i=t(116),r=t(109),a=t(127),s=function(t){function e(e){var n=t.call(this)||this;if(n.removed=new i.Signal0(n,\"removed\"),null==e.model)throw new Error(\"model of a view wasn't configured\");return n.model=e.model,n._parent=e.parent,n.id=e.id||a.uniqueId(),n.initialize(),!1!==e.connect_signals&&n.connect_signals(),n}return o.__extends(e,t),e.prototype.initialize=function(){},e.prototype.remove=function(){this._parent=void 0,this.disconnect_signals(),this.removed.emit()},e.prototype.toString=function(){return this.model.type+\"View(\"+this.id+\")\"},e.prototype.serializable_state=function(){return{type:this.model.type}},Object.defineProperty(e.prototype,\"parent\",{get:function(){if(void 0!==this._parent)return this._parent;throw new Error(\"parent of a view wasn't configured\")},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"is_root\",{get:function(){return null===this.parent},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,\"root\",{get:function(){return this.is_root?this:this.parent.root},enumerable:!0,configurable:!0}),e.prototype.assert_root=function(){if(!this.is_root)throw new Error(this.toString()+\" is not a root layout\")},e.prototype.connect_signals=function(){},e.prototype.disconnect_signals=function(){i.Signal.disconnectReceiver(this)},e.prototype.on_change=function(t,e){for(var n=0,o=r.isArray(t)?t:[t];n<o.length;n++){var i=o[n];this.connect(i.change,e)}},e}(i.Signalable());n.View=s,s.__name__=\"View\"},\n",
       "      function _(t,e,n){var i=t(113),r=t(109),o=function(t){return function(e){void 0===e&&(e={});for(var n=[],i=1;i<arguments.length;i++)n[i-1]=arguments[i];var o=document.createElement(t);for(var l in o.classList.add(\"bk\"),e){var a=e[l];if(null!=a&&(!r.isBoolean(a)||a))if(\"class\"===l&&(r.isString(a)&&(a=a.split(/\\s+/)),r.isArray(a)))for(var s=0,h=a;s<h.length;s++){var c=h[s];null!=c&&o.classList.add(c)}else if(\"style\"===l&&r.isPlainObject(a))for(var u in a)o.style[u]=a[u];else if(\"data\"===l&&r.isPlainObject(a))for(var p in a)o.dataset[p]=a[p];else o.setAttribute(l,a)}function d(t){if(t instanceof HTMLElement)o.appendChild(t);else if(r.isString(t))o.appendChild(document.createTextNode(t));else if(null!=t&&!1!==t)throw new Error(\"expected an HTMLElement, string, false or null, got \"+JSON.stringify(t))}for(var f=0,g=n;f<g.length;f++){var y=g[f];if(r.isArray(y))for(var v=0,m=y;v<m.length;v++){d(m[v])}else d(y)}return o}};function l(t){for(var 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0,i.__spreadArrays([e],n))},n.div=o(\"div\"),n.span=o(\"span\"),n.canvas=o(\"canvas\"),n.link=o(\"link\"),n.style=o(\"style\"),n.a=o(\"a\"),n.p=o(\"p\"),n.i=o(\"i\"),n.pre=o(\"pre\"),n.button=o(\"button\"),n.label=o(\"label\"),n.input=o(\"input\"),n.select=o(\"select\"),n.option=o(\"option\"),n.optgroup=o(\"optgroup\"),n.textarea=o(\"textarea\"),n.nbsp=function(){return document.createTextNode(\" \")},n.removeElement=function(t){var e=t.parentNode;null!=e&&e.removeChild(t)},n.replaceWith=function(t,e){var n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=l,n.empty=function(t){for(var e;e=t.firstChild;)t.removeChild(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){var e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=a,n.parent=function(t,e){for(var n=t;n=n.parentElement;)if(a(n,e))return n;return null},n.extents=h,n.size=c,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){var e=h(t).margin,n=e.left,i=e.right,r=e.top,o=e.bottom,l=c(t),a=l.width,s=l.height;return{width:Math.ceil(a+n+i),height:Math.ceil(s+r+o)}},n.content_size=function(t){for(var e=t.getBoundingClientRect(),n=e.left,i=e.top,r=h(t).padding,o=0,l=0,a=0,s=u(t);a<s.length;a++){var c=s[a].getBoundingClientRect();o=Math.max(o,Math.ceil(c.left-n-r.left+c.width)),l=Math.max(l,Math.ceil(c.top-i-r.top+c.height))}return{width:o,height:l}},n.position=function(t,e,n){var i=t.style;if(i.left=e.x+\"px\",i.top=e.y+\"px\",i.width=e.width+\"px\",i.height=e.height+\"px\",null==n)i.margin=\"\";else{var r=n.top,o=n.right,l=n.bottom,a=n.left;i.margin=r+\"px \"+o+\"px \"+l+\"px \"+a+\"px\"}},n.children=u;var p=function(){function t(t){this.el=t,this.classList=t.classList}return Object.defineProperty(t.prototype,\"values\",{get:function(){for(var t=[],e=0;e<this.classList.length;e++){var n=this.classList.item(e);null!=n&&t.push(n)}return t},enumerable:!0,configurable:!0}),t.prototype.has=function(t){return this.classList.contains(t)},t.prototype.add=function(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e];for(var n=0,i=t;n<i.length;n++){var r=i[n];this.classList.add(r)}return this},t.prototype.remove=function(){for(var t=[],e=0;e<arguments.length;e++)t[e]=arguments[e];for(var n=0,i=t;n<i.length;n++){var r=i[n];this.classList.remove(r)}return this},t.prototype.clear=function(){for(var t=0,e=this.values;t<e.length;t++){var n=e[t];\"bk\"!=n&&this.classList.remove(n)}return this},t.prototype.toggle=function(t,e){return(null!=e?e:!this.has(t))?this.add(t):this.remove(t),this},t}();function d(t,e,n){var i=t.style,r=i.width,o=i.height,l=i.position,a=i.display;t.style.position=\"absolute\",t.style.display=\"\",t.style.width=null!=e.width&&e.width!=1/0?e.width+\"px\":\"auto\",t.style.height=null!=e.height&&e.height!=1/0?e.height+\"px\":\"auto\";try{return n()}finally{t.style.position=l,t.style.display=a,t.style.width=r,t.style.height=o}}n.ClassList=p,p.__name__=\"ClassList\",n.classes=function(t){return new p(t)},function(t){t[t.Backspace=8]=\"Backspace\",t[t.Tab=9]=\"Tab\",t[t.Enter=13]=\"Enter\",t[t.Esc=27]=\"Esc\",t[t.PageUp=33]=\"PageUp\",t[t.PageDown=34]=\"PageDown\",t[t.Left=37]=\"Left\",t[t.Up=38]=\"Up\",t[t.Right=39]=\"Right\",t[t.Down=40]=\"Down\",t[t.Delete=46]=\"Delete\"}(n.Keys||(n.Keys={})),n.undisplayed=function(t,e){var n=t.style.display;t.style.display=\"none\";try{return e()}finally{t.style.display=n}},n.unsized=function(t,e){return d(t,{},e)},n.sized=d;var f=function(){function t(){this.style=n.style({type:\"text/css\"}),l(document.head,this.style)}return t.prototype.append=function(t){this.style.appendChild(document.createTextNode(t))},t}();n.StyleSheet=f,f.__name__=\"StyleSheet\",n.styles=new f},\n",
       "      function _(n,o,i){n(163).styles.append(\".bk-root {\\n  position: relative;\\n  width: auto;\\n  height: auto;\\n  z-index: 0;\\n  box-sizing: border-box;\\n  font-family: Helvetica, Arial, sans-serif;\\n  font-size: 10pt;\\n}\\n.bk-root .bk,\\n.bk-root .bk:before,\\n.bk-root .bk:after {\\n  box-sizing: inherit;\\n  margin: 0;\\n  border: 0;\\n  padding: 0;\\n  background-image: none;\\n  font-family: inherit;\\n  font-size: 100%;\\n  line-height: 1.42857143;\\n}\\n.bk-root pre.bk {\\n  font-family: Courier, monospace;\\n}\\n\"),i.bk_root=\"bk-root\"},\n",
       "      function _(e,t,a){var i=e(113),l=e(120),c=e(123);function o(e,t,a){e.moveTo(0,a+.5),e.lineTo(t,a+.5),e.stroke()}function s(e,t,a){e.moveTo(a+.5,0),e.lineTo(a+.5,t),e.stroke()}function h(e,t){e.moveTo(0,t),e.lineTo(t,0),e.stroke(),e.moveTo(0,0),e.lineTo(t,t),e.stroke()}function n(e,t,a,i){var l=a,c=l/2,n=c/2,r=function(e){var t=document.createElement(\"canvas\");return t.width=e,t.height=e,t}(a),_=r.getContext(\"2d\");switch(_.strokeStyle=t,_.lineCap=\"square\",_.fillStyle=t,_.lineWidth=i,e){case\" \":case\"blank\":break;case\".\":case\"dot\":_.arc(c,c,c/2,0,2*Math.PI,!0),_.fill();break;case\"o\":case\"ring\":_.arc(c,c,c/2,0,2*Math.PI,!0),_.stroke();break;case\"-\":case\"horizontal_line\":o(_,l,c);break;case\"|\":case\"vertical_line\":s(_,l,c);break;case\"+\":case\"cross\":o(_,l,c),s(_,l,c);break;case'\"':case\"horizontal_dash\":o(_,c,c);break;case\":\":case\"vertical_dash\":s(_,c,c);break;case\"@\":case\"spiral\":var p=l/30;_.moveTo(c,c);for(var u=0;u<360;u++){var f=.1*u,v=c+p*f*Math.cos(f),y=c+p*f*Math.sin(f);_.lineTo(v,y)}_.stroke();break;case\"/\":case\"right_diagonal_line\":_.moveTo(.5-n,l),_.lineTo(n+.5,0),_.stroke(),_.moveTo(n+.5,l),_.lineTo(3*n+.5,0),_.stroke(),_.moveTo(3*n+.5,l),_.lineTo(5*n+.5,0),_.stroke(),_.stroke();break;case\"\\\\\":case\"left_diagonal_line\":_.moveTo(n+.5,l),_.lineTo(.5-n,0),_.stroke(),_.moveTo(3*n+.5,l),_.lineTo(n+.5,0),_.stroke(),_.moveTo(5*n+.5,l),_.lineTo(3*n+.5,0),_.stroke(),_.stroke();break;case\"x\":case\"diagonal_cross\":h(_,l);break;case\",\":case\"right_diagonal_dash\":_.moveTo(n+.5,3*n+.5),_.lineTo(3*n+.5,n+.5),_.stroke();break;case\"`\":case\"left_diagonal_dash\":_.moveTo(n+.5,n+.5),_.lineTo(3*n+.5,3*n+.5),_.stroke();break;case\"v\":case\"horizontal_wave\":_.moveTo(0,n),_.lineTo(c,3*n),_.lineTo(l,n),_.stroke();break;case\">\":case\"vertical_wave\":_.moveTo(n,0),_.lineTo(3*n,c),_.lineTo(n,l),_.stroke();break;case\"*\":case\"criss_cross\":h(_,l),o(_,l,c),s(_,l,c)}return r}var r=function(){function e(e,t){void 0===t&&(t=\"\"),this.obj=e,this.prefix=t,this.cache={};for(var a=0,i=this.attrs;a<i.length;a++){var l=i[a];this[l]=e.properties[t+l]}}return e.prototype.warm_cache=function(e){for(var t=0,a=this.attrs;t<a.length;t++){var i=a[t],l=this.obj.properties[this.prefix+i];if(void 0!==l.spec.value)this.cache[i]=l.spec.value;else{if(null==e)throw new Error(\"source is required with a vectorized visual property\");this.cache[i+\"_array\"]=l.array(e)}}},e.prototype.cache_select=function(e,t){var a,i=this.obj.properties[this.prefix+e];return void 0!==i.spec.value?this.cache[e]=a=i.spec.value:this.cache[e]=a=this.cache[e+\"_array\"][t],a},e.prototype.set_vectorize=function(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)},e}();a.ContextProperties=r,r.__name__=\"ContextProperties\";var _=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype.set_value=function(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())},Object.defineProperty(t.prototype,\"doit\",{get:function(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)},enumerable:!0,configurable:!0}),t.prototype._set_vectorize=function(e,t){this.cache_select(\"line_color\",t),e.strokeStyle!==this.cache.line_color&&(e.strokeStyle=this.cache.line_color),this.cache_select(\"line_alpha\",t),e.globalAlpha!==this.cache.line_alpha&&(e.globalAlpha=this.cache.line_alpha),this.cache_select(\"line_width\",t),e.lineWidth!==this.cache.line_width&&(e.lineWidth=this.cache.line_width),this.cache_select(\"line_join\",t),e.lineJoin!==this.cache.line_join&&(e.lineJoin=this.cache.line_join),this.cache_select(\"line_cap\",t),e.lineCap!==this.cache.line_cap&&(e.lineCap=this.cache.line_cap),this.cache_select(\"line_dash\",t),e.getLineDash()!==this.cache.line_dash&&e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.getLineDashOffset()!==this.cache.line_dash_offset&&e.setLineDashOffset(this.cache.line_dash_offset)},t.prototype.color_value=function(){var e=c.color2rgba(this.line_color.value(),this.line_alpha.value());return\"rgba(\"+255*e[0]+\",\"+255*e[1]+\",\"+255*e[2]+\",\"+e[3]+\")\"},t}(r);a.Line=_,_.__name__=\"Line\",_.prototype.attrs=Object.keys(l.line());var p=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype.set_value=function(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()},Object.defineProperty(t.prototype,\"doit\",{get:function(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)},enumerable:!0,configurable:!0}),t.prototype._set_vectorize=function(e,t){this.cache_select(\"fill_color\",t),e.fillStyle!==this.cache.fill_color&&(e.fillStyle=this.cache.fill_color),this.cache_select(\"fill_alpha\",t),e.globalAlpha!==this.cache.fill_alpha&&(e.globalAlpha=this.cache.fill_alpha)},t.prototype.color_value=function(){var e=c.color2rgba(this.fill_color.value(),this.fill_alpha.value());return\"rgba(\"+255*e[0]+\",\"+255*e[1]+\",\"+255*e[2]+\",\"+e[3]+\")\"},t}(r);a.Fill=p,p.__name__=\"Fill\",p.prototype.attrs=Object.keys(l.fill());var u=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype.cache_select=function(t,a){var i;if(\"pattern\"==t){this.cache_select(\"hatch_color\",a),this.cache_select(\"hatch_scale\",a),this.cache_select(\"hatch_pattern\",a),this.cache_select(\"hatch_weight\",a);var l=this.cache,c=l.hatch_color,o=l.hatch_scale,s=l.hatch_pattern,h=l.hatch_weight,r=l.hatch_extra;if(null!=r&&r.hasOwnProperty(s)){var _=r[s];this.cache.pattern=_.get_pattern(c,o,h)}else this.cache.pattern=function(e){var t=n(s,c,o,h);return e.createPattern(t,\"repeat\")}}else i=e.prototype.cache_select.call(this,t,a);return i},t.prototype._try_defer=function(e){var t=this.cache,a=t.hatch_pattern,i=t.hatch_extra;null!=i&&i.hasOwnProperty(a)&&i[a].onload(e)},Object.defineProperty(t.prototype,\"doit\",{get:function(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)},enumerable:!0,configurable:!0}),t.prototype.doit2=function(e,t,a,i){this.doit&&(this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(i):(this.set_vectorize(e,t),a()))},t.prototype._set_vectorize=function(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha!==this.cache.hatch_alpha&&(e.globalAlpha=this.cache.hatch_alpha)},t.prototype.color_value=function(){var e=c.color2rgba(this.hatch_color.value(),this.hatch_alpha.value());return\"rgba(\"+255*e[0]+\",\"+255*e[1]+\",\"+255*e[2]+\",\"+e[3]+\")\"},t}(r);a.Hatch=u,u.__name__=\"Hatch\",u.prototype.attrs=Object.keys(l.hatch());var f=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return i.__extends(t,e),t.prototype.cache_select=function(t,a){var i;if(\"font\"==t){e.prototype.cache_select.call(this,\"text_font_style\",a),e.prototype.cache_select.call(this,\"text_font_size\",a),e.prototype.cache_select.call(this,\"text_font\",a);var l=this.cache,c=l.text_font_style,o=l.text_font_size,s=l.text_font;this.cache.font=i=c+\" \"+o+\" \"+s}else i=e.prototype.cache_select.call(this,t,a);return i},t.prototype.font_value=function(){var e=this.text_font.value(),t=this.text_font_size.value();return this.text_font_style.value()+\" \"+t+\" \"+e},t.prototype.color_value=function(){var e=c.color2rgba(this.text_color.value(),this.text_alpha.value());return\"rgba(\"+255*e[0]+\",\"+255*e[1]+\",\"+255*e[2]+\",\"+e[3]+\")\"},t.prototype.set_value=function(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()},Object.defineProperty(t.prototype,\"doit\",{get:function(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)},enumerable:!0,configurable:!0}),t.prototype._set_vectorize=function(e,t){this.cache_select(\"font\",t),e.font!==this.cache.font&&(e.font=this.cache.font),this.cache_select(\"text_color\",t),e.fillStyle!==this.cache.text_color&&(e.fillStyle=this.cache.text_color),this.cache_select(\"text_alpha\",t),e.globalAlpha!==this.cache.text_alpha&&(e.globalAlpha=this.cache.text_alpha),this.cache_select(\"text_align\",t),e.textAlign!==this.cache.text_align&&(e.textAlign=this.cache.text_align),this.cache_select(\"text_baseline\",t),e.textBaseline!==this.cache.text_baseline&&(e.textBaseline=this.cache.text_baseline)},t}(r);a.Text=f,f.__name__=\"Text\",f.prototype.attrs=Object.keys(l.text());var v=function(){function e(e){for(var t=0,a=e.mixins;t<a.length;t++){var i=a[t].split(\":\"),l=i[0],c=i[1],o=void 0===c?\"\":c,s=void 0;switch(l){case\"line\":s=_;break;case\"fill\":s=p;break;case\"hatch\":s=u;break;case\"text\":s=f;break;default:throw new Error(\"unknown visual: \"+l)}this[o+l]=new s(e,o)}}return e.prototype.warm_cache=function(e){for(var t in this)if(this.hasOwnProperty(t)){var a=this[t];a instanceof r&&a.warm_cache(e)}},e.prototype.set_all_indices=function(e){for(var t in this)if(this.hasOwnProperty(t)){var a=this[t];a instanceof r&&(a.all_indices=e)}},e}();a.Visuals=v,v.__name__=\"Visuals\"},\n",
       "      function _(t,e,n){var r=t(113),s=t(115),c=t(121),i=t(109),o=t(125),a=t(167),l=function(t){function e(e){return t.call(this,e)||this}return r.__extends(e,t),e.init_Model=function(){this.define({tags:[c.Array,[]],name:[c.String],js_property_callbacks:[c.Any,{}],js_event_callbacks:[c.Any,{}],subscribed_events:[c.Array,[]]})},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,function(){return e._update_property_callbacks()}),this.connect(this.properties.js_event_callbacks.change,function(){return e._update_event_callbacks()}),this.connect(this.properties.subscribed_events.change,function(){return e._update_event_callbacks()})},e.prototype._process_event=function(t){for(var e=0,n=this.js_event_callbacks[t.event_name]||[];e<n.length;e++){n[e].execute(t)}null!=this.document&&this.subscribed_events.some(function(e){return e==t.event_name})&&this.document.event_manager.send_event(t)},e.prototype.trigger_event=function(t){null!=this.document&&(t.origin=this,this.document.event_manager.trigger(t))},e.prototype._update_event_callbacks=function(){null!=this.document?this.document.event_manager.subscribed_models.add(this.id):a.logger.warn(\"WARNING: Document not defined for updating event callbacks\")},e.prototype._update_property_callbacks=function(){var t=this,e=function(e){var n=e.split(\":\"),r=n[0],s=n[1],c=void 0===s?null:s;return null!=c?t.properties[c][r]:t[r]};for(var n in this._js_callbacks)for(var r=this._js_callbacks[n],s=e(n),c=0,i=r;c<i.length;c++){var o=i[c];this.disconnect(s,o)}for(var n in this._js_callbacks={},this.js_property_callbacks){var a=(r=this.js_property_callbacks[n]).map(function(e){return function(){return e.execute(t)}});this._js_callbacks[n]=a;s=e(n);for(var l=0,_=a;l<_.length;l++){o=_[l];this.connect(s,o)}}},e.prototype._doc_attached=function(){o.isEmpty(this.js_event_callbacks)&&o.isEmpty(this.subscribed_events)||this._update_event_callbacks()},e.prototype.select=function(t){if(i.isString(t))return this.references().filter(function(n){return n instanceof e&&n.name===t});if(t.prototype instanceof s.HasProps)return this.references().filter(function(e){return e instanceof t});throw new Error(\"invalid selector\")},e.prototype.select_one=function(t){var e=this.select(t);switch(e.length){case 0:return null;case 1:return e[0];default:throw new Error(\"found more than one object matching given selector\")}},e}(s.HasProps);n.Model=l,l.__name__=\"Model\",l.init_Model()},\n",
       "      function _(e,l,o){var n=e(109),t={},r=function(){return function(e,l){this.name=e,this.level=l}}();o.LogLevel=r,r.__name__=\"LogLevel\";var g=function(){function e(l,o){void 0===o&&(o=e.INFO),this._name=l,this.set_level(o)}return Object.defineProperty(e,\"levels\",{get:function(){return Object.keys(e.log_levels)},enumerable:!0,configurable:!0}),e.get=function(l,o){if(void 0===o&&(o=e.INFO),l.length>0){var n=t[l];return null==n&&(t[l]=n=new e(l,o)),n}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")},Object.defineProperty(e.prototype,\"level\",{get:function(){return this.get_level()},enumerable:!0,configurable:!0}),e.prototype.get_level=function(){return this._log_level},e.prototype.set_level=function(l){if(l instanceof r)this._log_level=l;else{if(!n.isString(l)||null==e.log_levels[l])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=e.log_levels[l]}var o=\"[\"+this._name+\"]\";for(var t in e.log_levels){e.log_levels[t].level<this._log_level.level||this._log_level.level===e.OFF.level?this[t]=function(){}:this[t]=i(t,o)}},e.prototype.trace=function(){for(var e=[],l=0;l<arguments.length;l++)e[l]=arguments[l]},e.prototype.debug=function(){for(var e=[],l=0;l<arguments.length;l++)e[l]=arguments[l]},e.prototype.info=function(){for(var e=[],l=0;l<arguments.length;l++)e[l]=arguments[l]},e.prototype.warn=function(){for(var e=[],l=0;l<arguments.length;l++)e[l]=arguments[l]},e.prototype.error=function(){for(var e=[],l=0;l<arguments.length;l++)e[l]=arguments[l]},e}();function i(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}o.Logger=g,g.__name__=\"Logger\",g.TRACE=new r(\"trace\",0),g.DEBUG=new r(\"debug\",1),g.INFO=new r(\"info\",2),g.WARN=new r(\"warn\",6),g.ERROR=new r(\"error\",7),g.FATAL=new r(\"fatal\",8),g.OFF=new r(\"off\",9),g.log_levels={trace:g.TRACE,debug:g.DEBUG,info:g.INFO,warn:g.WARN,error:g.ERROR,fatal:g.FATAL,off:g.OFF},o.logger=g.get(\"bokeh\"),o.set_log_level=function(e){null==g.log_levels[e]?(console.log(\"[bokeh] unrecognized logging level '\"+e+\"' passed to Bokeh.set_log_level(), ignoring\"),console.log(\"[bokeh] valid log levels are: \"+g.levels.join(\", \"))):(console.log(\"[bokeh] setting log level to: '\"+e+\"'\"),o.logger.set_level(e))}},\n",
       "      function _(t,e,i){var n=t(113),s=t(131),r=t(169),a=t(170),o=t(121),_=t(111),l=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(e,t),e.prototype.initialize=function(){t.prototype.initialize.call(this),null==this.model.source&&(this.model.source=new a.ColumnDataSource),this.set_data(this.model.source)},e.prototype.connect_signals=function(){var e=this;t.prototype.connect_signals.call(this),this.connect(this.model.change,function(){return e.set_data(e.model.source)}),this.connect(this.model.source.streaming,function(){return e.set_data(e.model.source)}),this.connect(this.model.source.patching,function(){return e.set_data(e.model.source)})},e.prototype.set_data=function(e){t.prototype.set_data.call(this,e),this.visuals.warm_cache(e),this.plot_view.request_render()},e.prototype._map_data=function(){var t,e,i,n,s=this.plot_view.frame;return\"data\"==this.model.start_units?(t=s.xscales[this.model.x_range_name].v_compute(this._x_start),e=s.yscales[this.model.y_range_name].v_compute(this._y_start)):(t=s.xview.v_compute(this._x_start),e=s.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=s.xscales[this.model.x_range_name].v_compute(this._x_end),n=s.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=s.xview.v_compute(this._x_end),n=s.yview.v_compute(this._y_end)),[[t,e],[i,n]]},e.prototype.render=function(){if(this.model.visible){var t=this.plot_view.canvas_view.ctx;t.save();var e=this._map_data(),i=e[0],n=e[1];null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,i,n),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,n,i),t.beginPath();var s=this.plot_view.layout.bbox,r=s.x,a=s.y,o=s.width,_=s.height;t.rect(r,a,o,_),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,i,n),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,n,i),t.closePath(),t.clip(),this._arrow_body(t,i,n),t.restore()}},e.prototype._arrow_head=function(t,e,i,n,s){for(var r=0,a=this._x_start.length;r<a;r++){var o=Math.PI/2+_.atan2([n[0][r],n[1][r]],[s[0][r],s[1][r]]);t.save(),t.translate(s[0][r],s[1][r]),t.rotate(o),\"render\"==e?i.render(t,r):\"clip\"==e&&i.clip(t,r),t.restore()}},e.prototype._arrow_body=function(t,e,i){if(this.visuals.line.doit)for(var n=0,s=this._x_start.length;n<s;n++)this.visuals.line.set_vectorize(t,n),t.beginPath(),t.moveTo(e[0][n],e[1][n]),t.lineTo(i[0][n],i[1][n]),t.stroke()},e}(s.AnnotationView);i.ArrowView=l,l.__name__=\"ArrowView\";var h=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_Arrow=function(){this.prototype.default_view=l,this.mixins([\"line\"]),this.define({x_start:[o.NumberSpec],y_start:[o.NumberSpec],start_units:[o.SpatialUnits,\"data\"],start:[o.Instance,null],x_end:[o.NumberSpec],y_end:[o.NumberSpec],end_units:[o.SpatialUnits,\"data\"],end:[o.Instance,function(){return new r.OpenHead({})}],source:[o.Instance],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]})},e}(s.Annotation);i.Arrow=h,h.__name__=\"Arrow\",h.init_Arrow()},\n",
       "      function _(i,e,t){var s=i(113),n=i(131),o=i(165),l=i(121),h=function(i){function e(e){return i.call(this,e)||this}return s.__extends(e,i),e.init_ArrowHead=function(){this.define({size:[l.Number,25]})},e.prototype.initialize=function(){i.prototype.initialize.call(this),this.visuals=new o.Visuals(this)},e}(n.Annotation);t.ArrowHead=h,h.__name__=\"ArrowHead\",h.init_ArrowHead();var r=function(i){function e(e){return i.call(this,e)||this}return s.__extends(e,i),e.init_OpenHead=function(){this.mixins([\"line\"])},e.prototype.clip=function(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)},e.prototype.render=function(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())},e}(h);t.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();var a=function(i){function e(e){return i.call(this,e)||this}return s.__extends(e,i),e.init_NormalHead=function(){this.mixins([\"line\",\"fill\"]),this.override({fill_color:\"black\"})},e.prototype.clip=function(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)},e.prototype.render=function(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())},e.prototype._normal=function(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()},e}(h);t.NormalHead=a,a.__name__=\"NormalHead\",a.init_NormalHead();var _=function(i){function e(e){return i.call(this,e)||this}return s.__extends(e,i),e.init_VeeHead=function(){this.mixins([\"line\",\"fill\"]),this.override({fill_color:\"black\"})},e.prototype.clip=function(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)},e.prototype.render=function(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())},e.prototype._vee=function(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()},e}(h);t.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();var u=function(i){function e(e){return i.call(this,e)||this}return s.__extends(e,i),e.init_TeeHead=function(){this.mixins([\"line\"])},e.prototype.render=function(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())},e.prototype.clip=function(i,e){},e}(h);t.TeeHead=u,u.__name__=\"TeeHead\",u.init_TeeHead()},\n",
       "      function _(t,n,e){var a=t(113),i=t(171),r=t(115),o=t(121),s=t(117),u=t(196),l=t(109),h=t(198),c=t(125),d=t(199);function _(t,n,e){if(l.isArray(t)){var a=t.concat(n);return null!=e&&a.length>e?a.slice(-e):a}if(l.isTypedArray(t)){var i=t.length+n.length;if(null!=e&&i>e){var r=i-e,o=t.length;a=void 0;t.length<e?(a=new t.constructor(e)).set(t,0):a=t;for(var s=r,u=o;s<u;s++)a[s-r]=a[s];for(s=0,u=n.length;s<u;s++)a[s+(o-r)]=n[s];return a}var c=new t.constructor(n);return h.concat(t,c)}throw new Error(\"unsupported array types\")}function v(t,n){var e,a,i;return l.isNumber(t)?(e=t,i=t+1,a=1):(e=null!=t.start?t.start:0,i=null!=t.stop?t.stop:n,a=null!=t.step?t.step:1),[e,i,a]}function f(t,n,e){for(var a=new s.Set,i=!1,r=0,o=n;r<o.length;r++){var u=o[r],h=u[0],c=u[1],d=void 0,_=void 0,f=void 0,m=void 0;if(l.isArray(h)){var p=h[0];a.add(p),_=e[p],d=t[p],m=c,2===h.length?(_=[1,_[0]],f=[h[0],0,h[1]]):f=h}else l.isNumber(h)?(m=[c],a.add(h)):(m=c,i=!0),f=[0,0,h],_=[1,t.length],d=t;var y=0,g=v(f[1],_[0]),w=g[0],S=g[1],b=g[2],C=v(f[2],_[1]),j=C[0],D=C[1],A=C[2];for(p=w;p<S;p+=b)for(var z=j;z<D;z+=A)i&&a.add(z),d[p*_[1]+z]=m[y],y++}return a}e.stream_to_column=_,e.slice=v,e.patch_to_column=f;var m=function(t){function n(n){return t.call(this,n)||this}return a.__extends(n,t),n.init_ColumnDataSource=function(){this.define({data:[o.Any,{}]})},n.prototype.initialize=function(){var n;t.prototype.initialize.call(this),n=u.decode_column_data(this.data),this.data=n[0],this._shapes=n[1]},n.prototype.attributes_as_json=function(t,e){void 0===t&&(t=!0),void 0===e&&(e=n._value_to_json);for(var a={},i=this.serializable_attributes(),r=0,o=c.keys(i);r<o.length;r++){var s=o[r],l=i[s];\"data\"===s&&(l=u.encode_column_data(l,this._shapes)),t?a[s]=l:s in this._set_after_defaults&&(a[s]=l)}return e(\"attributes\",a,this)},n._value_to_json=function(t,n,e){return l.isPlainObject(n)&&\"data\"===t?u.encode_column_data(n,e._shapes):r.HasProps._value_to_json(t,n,e)},n.prototype.stream=function(t,n,e){var a=this.data;for(var i in t)a[i]=_(a[i],t[i],n);if(this.setv({data:a},{silent:!0}),this.streaming.emit(),null!=this.document){var r=new d.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:r})}},n.prototype.patch=function(t,n){var e=this.data,a=new s.Set;for(var i in t){var r=t[i];a=a.union(f(e[i],r,this._shapes[i]))}if(this.setv({data:e},{silent:!0}),this.patching.emit(a.values),null!=this.document){var o=new d.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:o})}},n}(i.ColumnarDataSource);e.ColumnDataSource=m,m.__name__=\"ColumnDataSource\",m.init_ColumnDataSource()},\n",
       "      function _(t,n,e){var r=t(113),i=t(172),a=t(116),o=t(167),s=t(174),u=t(121),c=t(109),l=t(110),h=t(125),g=t(173),p=t(195),f=function(t){function n(n){return t.call(this,n)||this}return r.__extends(n,t),n.prototype.get_array=function(t){var n=this.data[t];return null==n?this.data[t]=n=[]:c.isArray(n)||(this.data[t]=n=Array.from(n)),n},n.init_ColumnarDataSource=function(){this.define({selection_policy:[u.Instance,function(){return new p.UnionRenderers}]}),this.internal({selection_manager:[u.Instance,function(t){return new s.SelectionManager({source:t})}],inspected:[u.Instance,function(){return new g.Selection}],_shapes:[u.Any,{}]})},n.prototype.initialize=function(){t.prototype.initialize.call(this),this._select=new a.Signal0(this,\"select\"),this.inspect=new a.Signal(this,\"inspect\"),this.streaming=new a.Signal0(this,\"streaming\"),this.patching=new a.Signal(this,\"patching\")},n.prototype.get_column=function(t){var n=this.data[t];return null!=n?n:null},n.prototype.columns=function(){return h.keys(this.data)},n.prototype.get_length=function(t){void 0===t&&(t=!0);var n=l.uniq(h.values(this.data).map(function(t){return t.length}));switch(n.length){case 0:return null;case 1:return n[0];default:var e=\"data source has columns of inconsistent lengths\";if(t)return o.logger.warn(e),n.sort()[0];throw new Error(e)}},n.prototype.get_indices=function(){var t=this.get_length();return l.range(0,null!=t?t:1)},n.prototype.clear=function(){for(var t={},n=0,e=this.columns();n<e.length;n++){var r=e[n];t[r]=new this.data[r].constructor(0)}this.data=t},n}(i.DataSource);e.ColumnarDataSource=f,f.__name__=\"ColumnarDataSource\",f.init_ColumnarDataSource()},\n",
       "      function _(n,t,e){var c=n(113),a=n(166),i=n(173),o=n(121),l=function(n){function t(t){return n.call(this,t)||this}return c.__extends(t,n),t.init_DataSource=function(){this.define({selected:[o.Instance,function(){return new i.Selection}],callback:[o.Any]})},t.prototype.connect_signals=function(){var t=this;n.prototype.connect_signals.call(this),this.connect(this.selected.change,function(){null!=t.callback&&t.callback.execute(t)})},t}(a.Model);e.DataSource=l,l.__name__=\"DataSource\",l.init_DataSource()},\n",
       "      function _(i,e,t){var n=i(113),s=i(166),c=i(121),l=i(110),h=i(125),d=function(i){function e(e){return i.call(this,e)||this}return n.__extends(e,i),e.init_Selection=function(){this.define({indices:[c.Array,[]],line_indices:[c.Array,[]],multiline_indices:[c.Any,{}]}),this.internal({final:[c.Boolean],selected_glyphs:[c.Array,[]],get_view:[c.Any],image_indices:[c.Array,[]]})},e.prototype.initialize=function(){var e=this;i.prototype.initialize.call(this),this[\"0d\"]={glyph:null,indices:[],flag:!1,get_view:function(){return null}},this[\"1d\"]={indices:this.indices},this[\"2d\"]={indices:{}},this.get_view=function(){return null},this.connect(this.properties.indices.change,function(){return e[\"1d\"].indices=e.indices}),this.connect(this.properties.line_indices.change,function(){e[\"0d\"].indices=e.line_indices,e[\"0d\"].flag=0!=e.line_indices.length}),this.connect(this.properties.selected_glyphs.change,function(){return e[\"0d\"].glyph=e.selected_glyph}),this.connect(this.properties.get_view.change,function(){return e[\"0d\"].get_view=e.get_view}),this.connect(this.properties.multiline_indices.change,function(){return e[\"2d\"].indices=e.multiline_indices})},Object.defineProperty(e.prototype,\"selected_glyph\",{get:function(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null},enumerable:!0,configurable:!0}),e.prototype.add_to_selected_glyphs=function(i){this.selected_glyphs.push(i)},e.prototype.update=function(i,e,t){this.final=e,t?this.update_through_union(i):(this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices)},e.prototype.clear=function(){this.final=!0,this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=function(){return null},this.selected_glyphs=[]},e.prototype.is_empty=function(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length},e.prototype.update_through_union=function(i){this.indices=l.union(i.indices,this.indices),this.selected_glyphs=l.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=l.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)},e.prototype.update_through_intersection=function(i){this.indices=l.intersection(i.indices,this.indices),this.selected_glyphs=l.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=l.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)},e}(s.Model);t.Selection=d,d.__name__=\"Selection\",d.init_Selection()},\n",
       "      function _(e,t,i){var n=e(113),o=e(115),r=e(173),s=e(175),c=e(192),l=e(121),p=function(e){function t(t){var i=e.call(this,t)||this;return i.inspectors={},i}return n.__extends(t,e),t.init_SelectionManager=function(){this.internal({source:[l.Any]})},t.prototype.select=function(e,t,i,n){void 0===n&&(n=!1);for(var o=[],r=[],l=0,p=e;l<p.length;l++){(u=p[l])instanceof s.GlyphRendererView?o.push(u):u instanceof c.GraphRendererView&&r.push(u)}for(var a=!1,_=0,h=r;_<h.length;_++){var u,d=(u=h[_]).model.selection_policy.hit_test(t,u);a=a||u.model.selection_policy.do_selection(d,u.model,i,n)}if(o.length>0){d=this.source.selection_policy.hit_test(t,o);a=a||this.source.selection_policy.do_selection(d,this.source,i,n)}return a},t.prototype.inspect=function(e,t){var i=!1;if(e instanceof s.GlyphRendererView){if(null!=(o=e.hit_test(t))){i=!o.is_empty();var n=this.get_or_create_inspector(e.model);n.update(o,!0,!1),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof c.GraphRendererView){var o=e.model.inspection_policy.hit_test(t,e);i=i||e.model.inspection_policy.do_inspection(o,t,e,!1,!1)}return i},t.prototype.clear=function(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()},t.prototype.get_or_create_inspector=function(e){return null==this.inspectors[e.id]&&(this.inspectors[e.id]=new r.Selection),this.inspectors[e.id]},t}(o.HasProps);i.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n",
       "      function _(e,t,i){var n=e(113),l=e(176),s=e(177),h=e(187),r=e(188),o=e(190),a=e(191),d=e(167),c=e(121),_=e(114),p=e(110),u=e(125),g=e(184),y={fill:{},line:{}},m={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},v={fill:{fill_alpha:.2},line:{}},f=function(e){function t(){return null!==e&&e.apply(this,arguments)||this}return n.__extends(t,e),t.prototype.initialize=function(){e.prototype.initialize.call(this);var t=this.model.glyph,i=p.includes(t.mixins,\"fill\"),n=p.includes(t.mixins,\"line\"),l=u.clone(t.attributes);function s(e){var s=u.clone(l);return i&&u.extend(s,e.fill),n&&u.extend(s,e.line),new t.constructor(s)}delete l.id,this.glyph=this.build_glyph_view(t);var h=this.model.selection_glyph;null==h?h=s({fill:{},line:{}}):\"auto\"===h&&(h=s(y)),this.selection_glyph=this.build_glyph_view(h);var r=this.model.nonselection_glyph;null==r?r=s({fill:{},line:{}}):\"auto\"===r&&(r=s(v)),this.nonselection_glyph=this.build_glyph_view(r);var o=this.model.hover_glyph;null!=o&&(this.hover_glyph=this.build_glyph_view(o));var a=this.model.muted_glyph;null!=a&&(this.muted_glyph=this.build_glyph_view(a));var d=s(m);this.decimated_glyph=this.build_glyph_view(d),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)},t.prototype.build_glyph_view=function(e){return new e.default_view({model:e,parent:this})},t.prototype.connect_signals=function(){var t=this;e.prototype.connect_signals.call(this),this.connect(this.model.change,function(){return t.request_render()}),this.connect(this.model.glyph.change,function(){return t.set_data()}),this.connect(this.model.data_source.change,function(){return t.set_data()}),this.connect(this.model.data_source.streaming,function(){return t.set_data()}),this.connect(this.model.data_source.patching,function(e){return t.set_data(!0,e)}),this.connect(this.model.data_source.selected.change,function(){return t.request_render()}),this.connect(this.model.data_source._select,function(){return t.request_render()}),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,function(){return t.request_render()}),this.connect(this.model.properties.view.change,function(){return t.set_data()}),this.connect(this.model.view.change,function(){return t.set_data()}),this.connect(this.model.properties.visible.change,function(){return t.plot_view.update_dataranges()});var i=this.plot_view.frame,n=i.x_ranges,l=i.y_ranges;for(var s in n){(h=n[s])instanceof g.FactorRange&&this.connect(h.change,function(){return t.set_data()})}for(var s in l){var h;(h=l[s])instanceof g.FactorRange&&this.connect(h.change,function(){return t.set_data()})}this.connect(this.model.glyph.transformchange,function(){return t.set_data()})},t.prototype.have_selection_glyphs=function(){return null!=this.selection_glyph&&null!=this.nonselection_glyph},t.prototype.set_data=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=null);var i=Date.now(),n=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(n,this.all_indices,t),this.glyph.set_visuals(n),this.decimated_glyph.set_visuals(n),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(n),this.nonselection_glyph.set_visuals(n)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(n),null!=this.muted_glyph&&this.muted_glyph.set_visuals(n);var l=this.plot_model.lod_factor;this.decimated=[];for(var s=0,h=Math.floor(this.all_indices.length/l);s<h;s++)this.decimated.push(s*l);var r=Date.now()-i;d.logger.debug(this.glyph.model.type+\" GlyphRenderer (\"+this.model.id+\"): set_data finished in \"+r+\"ms\"),this.set_data_timestamp=Date.now(),e&&this.request_render()},Object.defineProperty(t.prototype,\"has_webgl\",{get:function(){return null!=this.glyph.glglyph},enumerable:!0,configurable:!0}),t.prototype.render=function(){var e=this;if(this.model.visible){var t=Date.now(),i=this.has_webgl;this.glyph.map_data();var n=Date.now()-t,l=Date.now(),a=this.glyph.mask_data(this.all_indices);a.length===this.all_indices.length&&(a=p.range(0,this.all_indices.length));var c=Date.now()-l,u=this.plot_view.canvas_view.ctx;u.save();var g,y=this.model.data_source.selected;g=!y||y.is_empty()?[]:this.glyph instanceof s.LineView&&y.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(a):y.indices;var m,v,f,w=this.model.data_source.inspected,b=new Set(!w||w.is_empty()?[]:w[\"0d\"].glyph?e.model.view.convert_indices_from_subset(a):w[\"1d\"].indices.length>0?w[\"1d\"].indices:_.map(Object.keys(w[\"2d\"].indices),function(e){return parseInt(e)})),x=_.filter(a,function(t){return b.has(e.all_indices[t])}),D=this.plot_model.lod_threshold;null!=this.model.document&&this.model.document.interactive_duration()>0&&!i&&null!=D&&this.all_indices.length>D?(a=this.decimated,m=this.decimated_glyph,v=this.decimated_glyph,f=this.selection_glyph):(m=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,v=this.nonselection_glyph,f=this.selection_glyph),null!=this.hover_glyph&&x.length&&(a=p.difference(a,x));var R,V=null;if(g.length&&this.have_selection_glyphs()){for(var G=Date.now(),A={},I=0,q=g;I<q.length;I++){A[P=q[I]]=!0}var k=new Array,z=new Array;if(this.glyph instanceof s.LineView)for(var L=0,O=this.all_indices;L<O.length;L++){null!=A[P=O[L]]?k.push(P):z.push(P)}else for(var j=0,F=a;j<F.length;j++){var P=F[j];null!=A[this.all_indices[P]]?k.push(P):z.push(P)}V=Date.now()-G,R=Date.now(),v.render(u,z,this.glyph),f.render(u,k,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof s.LineView?this.hover_glyph.render(u,this.model.view.convert_indices_from_subset(x),this.glyph):this.hover_glyph.render(u,x,this.glyph))}else if(R=Date.now(),this.glyph instanceof s.LineView)this.hover_glyph&&x.length?this.hover_glyph.render(u,this.model.view.convert_indices_from_subset(x),this.glyph):m.render(u,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof r.HAreaView||this.glyph instanceof o.VAreaView)if(0==w.selected_glyphs.length||null==this.hover_glyph)m.render(u,this.all_indices,this.glyph);else for(var S=0,B=w.selected_glyphs;S<B.length;S++){B[S].id==this.glyph.model.id&&this.hover_glyph.render(u,this.all_indices,this.glyph)}else m.render(u,a,this.glyph),this.hover_glyph&&x.length&&this.hover_glyph.render(u,x,this.glyph);var C=Date.now()-R;this.last_dtrender=C;var H=Date.now()-t;d.logger.debug(this.glyph.model.type+\" GlyphRenderer (\"+this.model.id+\"): render finished in \"+H+\"ms\"),d.logger.trace(\" - map_data finished in       : \"+n+\"ms\"),d.logger.trace(\" - mask_data finished in      : \"+c+\"ms\"),null!=V&&d.logger.trace(\" - selection mask finished in : \"+V+\"ms\"),d.logger.trace(\" - glyph renders finished in  : \"+C+\"ms\"),u.restore()}},t.prototype.draw_legend=function(e,t,i,n,l,s,h,r){null==r&&(r=this.model.get_reference_point(s,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:n,y1:l},r)},t.prototype.hit_test=function(e){if(!this.model.visible)return null;var t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)},t}(l.DataRendererView);i.GlyphRendererView=f,f.__name__=\"GlyphRendererView\";var w=function(e){function t(t){return e.call(this,t)||this}return n.__extends(t,e),t.init_GlyphRenderer=function(){this.prototype.default_view=f,this.define({data_source:[c.Instance],view:[c.Instance,function(){return new a.CDSView}],glyph:[c.Instance],hover_glyph:[c.Instance],nonselection_glyph:[c.Any,\"auto\"],selection_glyph:[c.Any,\"auto\"],muted_glyph:[c.Instance],muted:[c.Boolean,!1]})},t.prototype.initialize=function(){e.prototype.initialize.call(this),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())},t.prototype.get_reference_point=function(e,t){var i=0;if(null!=e){var n=this.data_source.get_column(e);if(null!=n){var l=_.indexOf(n,t);-1!=l&&(i=l)}}return i},t.prototype.get_selection_manager=function(){return this.data_source.selection_manager},t}(l.DataRenderer);i.GlyphRenderer=w,w.__name__=\"GlyphRenderer\",w.init_GlyphRenderer()},\n",
       "      function _(e,n,r){var t=e(113),a=e(160),i=e(121),_=function(e){function n(){return null!==e&&e.apply(this,arguments)||this}return t.__extends(n,e),n}(a.RendererView);r.DataRendererView=_,_.__name__=\"DataRendererView\";var d=function(e){function n(n){return e.call(this,n)||this}return t.__extends(n,e),n.init_DataRenderer=function(){this.define({x_range_name:[i.String,\"default\"],y_range_name:[i.String,\"default\"]}),this.override({level:\"glyph\"})},n}(a.Renderer);r.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n",
       "      function _(t,e,i){var n=t(113),s=t(178),r=t(186),_=t(183),o=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(e,t),e.prototype._render=function(t,e,i){var n=i.sx,s=i.sy,r=!1,_=null;this.visuals.line.set_value(t);for(var o=0,h=e;o<h.length;o++){var l=h[o];if(r){if(!isFinite(n[l]+s[l])){t.stroke(),t.beginPath(),r=!1,_=l;continue}null!=_&&l-_>1&&(t.stroke(),r=!1)}r?t.lineTo(n[l],s[l]):(t.beginPath(),t.moveTo(n[l],s[l]),r=!0),_=l}r&&t.stroke()},e.prototype._hit_point=function(t){for(var e=this,i=_.create_empty_hit_test_result(),n={x:t.sx,y:t.sy},s=9999,r=Math.max(2,this.visuals.line.line_width.value()/2),o=0,h=this.sx.length-1;o<h;o++){var l={x:this.sx[o],y:this.sy[o]},u={x:this.sx[o+1],y:this.sy[o+1]},a=_.dist_to_segment(n,l,u);a<r&&a<s&&(s=a,i.add_to_selected_glyphs(this.model),i.get_view=function(){return e},i.line_indices=[o])}return i},e.prototype._hit_span=function(t){var e,i,n=this,s=t.sx,r=t.sy,o=_.create_empty_hit_test_result();\"v\"==t.direction?(e=this.renderer.yscale.invert(r),i=this._y):(e=this.renderer.xscale.invert(s),i=this._x);for(var h=0,l=i.length-1;h<l;h++)(i[h]<=e&&e<=i[h+1]||i[h+1]<=e&&e<=i[h])&&(o.add_to_selected_glyphs(this.model),o.get_view=function(){return n},o.line_indices.push(h));return o},e.prototype.get_interpolation_hit=function(t,e){var i=[this._x[t],this._y[t],this._x[t+1],this._y[t+1]],n=i[0],s=i[1],_=i[2],o=i[3];return r.line_interpolation(this.renderer,e,n,s,_,o)},e.prototype.draw_legend_for_index=function(t,e,i){r.generic_line_legend(this.visuals,t,e,i)},e}(s.XYGlyphView);i.LineView=o,o.__name__=\"LineView\";var h=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_Line=function(){this.prototype.default_view=o,this.mixins([\"line\"])},e}(s.XYGlyph);i.Line=h,h.__name__=\"Line\",h.init_Line()},\n",
       "      function _(t,n,i){var e=t(113),r=t(179),h=t(182),s=function(t){function n(){return null!==t&&t.apply(this,arguments)||this}return e.__extends(n,t),n.prototype._index_data=function(){for(var t=[],n=0,i=this._x.length;n<i;n++){var e=this._x[n],h=this._y[n];!isNaN(e+h)&&isFinite(e+h)&&t.push({x0:e,y0:h,x1:e,y1:h,i:n})}return new r.SpatialIndex(t)},n.prototype.scenterx=function(t){return this.sx[t]},n.prototype.scentery=function(t){return this.sy[t]},n}(h.GlyphView);i.XYGlyphView=s,s.__name__=\"XYGlyphView\";var _=function(t){function n(n){return t.call(this,n)||this}return e.__extends(n,t),n.init_XYGlyph=function(){this.coords([[\"x\",\"y\"]])},n}(h.Glyph);i.XYGlyph=_,_.__name__=\"XYGlyph\",_.init_XYGlyph()},\n",
       "      function _(n,t,i){var e=n(180),r=n(181),o=function(){function n(n){if(this.points=n,this.index=null,n.length>0){this.index=new e(n.length);for(var t=0,i=n;t<i.length;t++){var r=i[t],o=r.x0,a=r.y0,u=r.x1,x=r.y1;this.index.add(o,a,u,x)}this.index.finish()}}return n.prototype._normalize=function(n){var t,i,e=n.x0,r=n.y0,o=n.x1,a=n.y1;return e>o&&(e=(t=[o,e])[0],o=t[1]),r>a&&(r=(i=[a,r])[0],a=i[1]),{x0:e,y0:r,x1:o,y1:a}},Object.defineProperty(n.prototype,\"bbox\",{get:function(){if(null==this.index)return r.empty();var n=this.index;return{x0:n.minX,y0:n.minY,x1:n.maxX,y1:n.maxY}},enumerable:!0,configurable:!0}),n.prototype.search=function(n){var t=this;if(null==this.index)return[];var i=this._normalize(n),e=i.x0,r=i.y0,o=i.x1,a=i.y1;return this.index.search(e,r,o,a).map(function(n){return t.points[n]})},n.prototype.indices=function(n){return this.search(n).map(function(n){return n.i})},n}();i.SpatialIndex=o,o.__name__=\"SpatialIndex\"},\n",
       "      function _(t,s,i){var e,h;e=this,h=function(){\"use strict\";var t=function(){this.ids=[],this.values=[],this.length=0};t.prototype.clear=function(){this.length=this.ids.length=this.values.length=0},t.prototype.push=function(t,s){this.ids.push(t),this.values.push(s);for(var i=this.length++;i>0;){var e=i-1>>1,h=this.values[e];if(s>=h)break;this.ids[i]=this.ids[e],this.values[i]=h,i=e}this.ids[i]=t,this.values[i]=s},t.prototype.pop=function(){if(0!==this.length){var t=this.ids[0];if(this.length--,this.length>0){for(var s=this.ids[0]=this.ids[this.length],i=this.values[0]=this.values[this.length],e=this.length>>1,h=0;h<e;){var r=1+(h<<1),n=r+1,o=this.ids[r],a=this.values[r],u=this.values[n];if(n<this.length&&u<a&&(r=n,o=this.ids[n],a=u),a>=i)break;this.ids[h]=o,this.values[h]=a,h=r}this.ids[h]=s,this.values[h]=i}return this.ids.pop(),this.values.pop(),t}},t.prototype.peek=function(){return this.ids[0]},t.prototype.peekValue=function(){return this.values[0]};var s=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array],i=function(i,e,h,r){if(void 0===e&&(e=16),void 0===h&&(h=Float64Array),void 0===i)throw new Error(\"Missing required argument: numItems.\");if(isNaN(i)||i<=0)throw new Error(\"Unpexpected numItems value: \"+i+\".\");this.numItems=+i,this.nodeSize=Math.min(Math.max(+e,2),65535);var n=i,o=n;this._levelBounds=[4*n];do{o+=n=Math.ceil(n/this.nodeSize),this._levelBounds.push(4*o)}while(1!==n);this.ArrayType=h||Float64Array,this.IndexArrayType=o<16384?Uint16Array:Uint32Array;var a=s.indexOf(this.ArrayType),u=4*o*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(\"Unexpected typed array class: \"+h+\".\");r&&r instanceof ArrayBuffer?(this.data=r,this._boxes=new this.ArrayType(this.data,8,4*o),this._indices=new this.IndexArrayType(this.data,8+u,o),this._pos=4*o,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+u+o*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*o),this._indices=new this.IndexArrayType(this.data,8+u,o),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=e,new Uint32Array(this.data,4,1)[0]=i),this._queue=new t};function e(t,s,i){return t<s?s-t:t<=i?0:t-i}function h(t,s){for(var i=0,e=s.length-1;i<e;){var h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function r(t,s,i,e,h){var r=t[e];t[e]=t[h],t[h]=r;var n=4*e,o=4*h,a=s[n],u=s[n+1],p=s[n+2],d=s[n+3];s[n]=s[o],s[n+1]=s[o+1],s[n+2]=s[o+2],s[n+3]=s[o+3],s[o]=a,s[o+1]=u,s[o+2]=p,s[o+3]=d;var _=i[e];i[e]=i[h],i[h]=_}function n(t,s){var i=t^s,e=65535^i,h=65535^(t|s),r=t&(65535^s),n=i|e>>1,o=i>>1^i,a=h>>1^e&r>>1^h,u=i&h>>1^r>>1^r;o=(i=n)&(e=o)>>2^e&(i^e)>>2,a^=i&(h=a)>>2^e&(r=u)>>2,u^=e&h>>2^(i^e)&r>>2,o=(i=n=i&i>>2^e&e>>2)&(e=o)>>4^e&(i^e)>>4,a^=i&(h=a)>>4^e&(r=u)>>4,u^=e&h>>4^(i^e)&r>>4,a^=(i=n=i&i>>4^e&e>>4)&(h=a)>>8^(e=o)&(r=u)>>8;var p=t^s,d=(e=(u^=e&h>>8^(i^e)&r>>8)^u>>1)|65535^(p|(i=a^a>>1));return((d=1431655765&((d=858993459&((d=252645135&((d=16711935&(d|d<<8))|d<<4))|d<<2))|d<<1))<<1|(p=1431655765&((p=858993459&((p=252645135&((p=16711935&(p|p<<8))|p<<4))|p<<2))|p<<1)))>>>0}return i.from=function(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");var e=new Uint8Array(t,0,2),h=e[0],r=e[1];if(251!==h)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(r>>4!=3)throw new Error(\"Got v\"+(r>>4)+\" data when expected v3.\");var n=new Uint16Array(t,2,1)[0],o=new Uint32Array(t,4,1)[0];return new i(o,n,s[15&r],t)},i.prototype.add=function(t,s,i,e){var h=this._pos>>2;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)},i.prototype.finish=function(){if(this._pos>>2!==this.numItems)throw new Error(\"Added \"+(this._pos>>2)+\" items when expected \"+this.numItems+\".\");for(var t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems),e=0;e<this.numItems;e++){var h=4*e,o=this._boxes[h++],a=this._boxes[h++],u=this._boxes[h++],p=this._boxes[h++],d=Math.floor(65535*((o+u)/2-this.minX)/t),_=Math.floor(65535*((a+p)/2-this.minY)/s);i[e]=n(d,_)}!function t(s,i,e,h,n){if(h>=n)return;var o=s[h+n>>1];var a=h-1;var u=n+1;for(;;){do{a++}while(s[a]<o);do{u--}while(s[u]>o);if(a>=u)break;r(s,i,e,a,u)}t(s,i,e,h,u);t(s,i,e,u+1,n)}(i,this._boxes,this._indices,0,this.numItems-1);for(var f=0,l=0;f<this._levelBounds.length-1;f++)for(var v=this._levelBounds[f];l<v;){for(var x=1/0,y=1/0,m=-1/0,c=-1/0,b=l,w=0;w<this.nodeSize&&l<v;w++){var A=this._boxes[l++],g=this._boxes[l++],E=this._boxes[l++],I=this._boxes[l++];A<x&&(x=A),g<y&&(y=g),E>m&&(m=E),I>c&&(c=I)}this._indices[this._pos>>2]=b,this._boxes[this._pos++]=x,this._boxes[this._pos++]=y,this._boxes[this._pos++]=m,this._boxes[this._pos++]=c}},i.prototype.search=function(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");for(var r=this._boxes.length-4,n=this._levelBounds.length-1,o=[],a=[];void 0!==r;){for(var u=Math.min(r+4*this.nodeSize,this._levelBounds[n]),p=r;p<u;p+=4){var d=0|this._indices[p>>2];i<this._boxes[p]||(e<this._boxes[p+1]||t>this._boxes[p+2]||s>this._boxes[p+3]||(r<4*this.numItems?(void 0===h||h(d))&&a.push(d):(o.push(d),o.push(n-1))))}n=o.pop(),r=o.pop()}return a},i.prototype.neighbors=function(t,s,i,r,n){if(void 0===i&&(i=1/0),void 0===r&&(r=1/0),this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");for(var o=this._boxes.length-4,a=this._queue,u=[],p=r*r;void 0!==o;){for(var d=Math.min(o+4*this.nodeSize,h(o,this._levelBounds)),_=o;_<d;_+=4){var f=0|this._indices[_>>2],l=e(t,this._boxes[_],this._boxes[_+2]),v=e(s,this._boxes[_+1],this._boxes[_+3]),x=l*l+v*v;o<4*this.numItems?(void 0===n||n(f))&&a.push(-f-1,x):a.push(f,x)}for(;a.length&&a.peek()<0;){if(a.peekValue()>p)return a.clear(),u;if(u.push(-a.pop()-1),u.length===i)return a.clear(),u}o=a.pop()}return a.clear(),u},i},\"object\"==typeof i&&void 0!==s?s.exports=h():\"function\"==typeof define&&define.amd?define(h):(e=e||self).Flatbush=h()},\n",
       "      function _(t,e,r){var i=Math.min,n=Math.max;r.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},r.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},r.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},r.union=function(t,e){return{x0:i(t.x0,e.x0),x1:n(t.x1,e.x1),y0:i(t.y0,e.y0),y1:n(t.y1,e.y1)}};var o=function(){function t(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){var e=t.x0,r=t.y0,i=t.x1,n=t.y1;if(!(e<=i&&r<=n))throw new Error(\"invalid bbox {x0: \"+e+\", y0: \"+r+\", x1: \"+i+\", y1: \"+n+\"}\");this.x0=e,this.y0=r,this.x1=i,this.y1=n}else if(\"x\"in t){var o=t.x,h=t.y,u=t.width,y=t.height;if(!(u>=0&&y>=0))throw new Error(\"invalid bbox {x: \"+o+\", y: \"+h+\", width: \"+u+\", height: \"+y+\"}\");this.x0=o,this.y0=h,this.x1=o+u,this.y1=h+y}else{var f=void 0,s=void 0,c=void 0,p=void 0;if(\"width\"in t)if(\"left\"in t)s=(f=t.left)+t.width;else if(\"right\"in t)f=(s=t.right)-t.width;else{var b=t.width/2;f=t.hcenter-b,s=t.hcenter+b}else f=t.left,s=t.right;if(\"height\"in t)if(\"top\"in t)p=(c=t.top)+t.height;else if(\"bottom\"in t)c=(p=t.bottom)-t.height;else{var a=t.height/2;c=t.vcenter-a,p=t.vcenter+a}else c=t.top,p=t.bottom;if(!(f<=s&&c<=p))throw new Error(\"invalid bbox {left: \"+f+\", top: \"+c+\", right: \"+s+\", bottom: \"+p+\"}\");this.x0=f,this.y0=c,this.x1=s,this.y1=p}}return t.prototype.toString=function(){return\"BBox({left: \"+this.left+\", top: \"+this.top+\", width: \"+this.width+\", height: \"+this.height+\"})\"},Object.defineProperty(t.prototype,\"left\",{get:function(){return this.x0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"top\",{get:function(){return this.y0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"right\",{get:function(){return this.x1},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"bottom\",{get:function(){return this.y1},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"p0\",{get:function(){return[this.x0,this.y0]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"p1\",{get:function(){return[this.x1,this.y1]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"x\",{get:function(){return this.x0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"y\",{get:function(){return this.y0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"width\",{get:function(){return this.x1-this.x0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"height\",{get:function(){return this.y1-this.y0},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"rect\",{get:function(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"box\",{get:function(){return{x:this.x,y:this.y,width:this.width,height:this.height}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"h_range\",{get:function(){return{start:this.x0,end:this.x1}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"v_range\",{get:function(){return{start:this.y0,end:this.y1}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"ranges\",{get:function(){return[this.h_range,this.v_range]},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"aspect\",{get:function(){return this.width/this.height},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hcenter\",{get:function(){return(this.left+this.right)/2},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"vcenter\",{get:function(){return(this.top+this.bottom)/2},enumerable:!0,configurable:!0}),t.prototype.contains=function(t,e){return t>=this.x0&&t<=this.x1&&e>=this.y0&&e<=this.y1},t.prototype.clip=function(t,e){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),e<this.y0?e=this.y0:e>this.y1&&(e=this.y1),[t,e]},t.prototype.union=function(e){return new t({x0:i(this.x0,e.x0),y0:i(this.y0,e.y0),x1:n(this.x1,e.x1),y1:n(this.y1,e.y1)})},t.prototype.equals=function(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1},Object.defineProperty(t.prototype,\"xview\",{get:function(){var t=this;return{compute:function(e){return t.left+e},v_compute:function(e){for(var r=new Float64Array(e.length),i=t.left,n=0;n<e.length;n++)r[n]=i+e[n];return r}}},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"yview\",{get:function(){var t=this;return{compute:function(e){return t.bottom-e},v_compute:function(e){for(var r=new Float64Array(e.length),i=t.bottom,n=0;n<e.length;n++)r[n]=i-e[n];return r}}},enumerable:!0,configurable:!0}),t}();r.BBox=o,o.__name__=\"BBox\"},\n",
       "      function _(t,e,i){var n=t(113),r=t(183),s=t(121),o=t(181),a=t(132),h=t(165),_=t(162),l=t(166),p=t(167),c=t(114),u=t(125),y=t(109),d=t(177),f=t(184),g=function(e){function i(){var t=e.apply(this,arguments)||this;return t._nohit_warned={},t}return n.__extends(i,e),Object.defineProperty(i.prototype,\"renderer\",{get:function(){return this.parent},enumerable:!0,configurable:!0}),i.prototype.initialize=function(){e.prototype.initialize.call(this),this._nohit_warned={},this.visuals=new h.Visuals(this.model);var i=this.renderer.plot_view.gl;if(null!=i){var n=null;try{n=t(454)}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;p.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=n){var r=n[this.model.type+\"GLGlyph\"];null!=r&&(this.glglyph=new r(i.ctx,this))}}},i.prototype.set_visuals=function(t){this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()},i.prototype.render=function(t,e,i){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,i)||this._render(t,e,i)},i.prototype.has_finished=function(){return!0},i.prototype.notify_finished=function(){this.renderer.notify_finished()},i.prototype._bounds=function(t){return t},i.prototype.bounds=function(){return this._bounds(this.index.bbox)},i.prototype.log_bounds=function(){for(var t=o.empty(),e=0,i=this.index.search(o.positive_x());e<i.length;e++){var n=i[e];n.x0<t.x0&&(t.x0=n.x0),n.x1>t.x1&&(t.x1=n.x1)}for(var r=0,s=this.index.search(o.positive_y());r<s.length;r++){var a=s[r];a.y0<t.y0&&(t.y0=a.y0),a.y1>t.y1&&(t.y1=a.y1)}return this._bounds(t)},i.prototype.get_anchor_point=function(t,e,i){var n=i[0],r=i[1];switch(t){case\"center\":return{x:this.scenterx(e,n,r),y:this.scentery(e,n,r)};default:return null}},i.prototype.sdist=function(t,e,i,n,r){var s,o;void 0===n&&(n=\"edge\"),void 0===r&&(r=!1);var a=e.length;if(\"center\"==n){var h=c.map(i,function(t){return t/2});s=new Float64Array(a);for(var _=0;_<a;_++)s[_]=e[_]-h[_];o=new Float64Array(a);for(_=0;_<a;_++)o[_]=e[_]+h[_]}else{s=e,o=new Float64Array(a);for(_=0;_<a;_++)o[_]=s[_]+i[_]}var l=t.v_compute(s),p=t.v_compute(o);return r?c.map(l,function(t,e){return Math.ceil(Math.abs(p[e]-l[e]))}):c.map(l,function(t,e){return Math.abs(p[e]-l[e])})},i.prototype.draw_legend_for_index=function(t,e,i){},i.prototype.hit_test=function(t){var e=null,i=\"_hit_\"+t.type;return null!=this[i]?e=this[i](t):null==this._nohit_warned[t.type]&&(p.logger.debug(\"'\"+t.type+\"' selection not available for \"+this.model.type),this._nohit_warned[t.type]=!0),e},i.prototype._hit_rect_against_index=function(t){var e=t.sx0,i=t.sx1,n=t.sy0,s=t.sy1,o=this.renderer.xscale.r_invert(e,i),a=o[0],h=o[1],_=this.renderer.yscale.r_invert(n,s),l=_[0],p=_[1],c=r.create_empty_hit_test_result();return c.indices=this.index.indices({x0:a,x1:h,y0:l,y1:p}),c},i.prototype.set_data=function(t,e,i){var n,r,s,o,h=this.model.materialize_dataspecs(t);if(this.visuals.set_all_indices(e),e&&!(this instanceof d.LineView)){var _={},l=function(t){var i=h[t];\"_\"===t.charAt(0)?_[t]=e.map(function(t){return i[t]}):_[t]=i};for(var p in h)l(p);h=_}if(u.extend(this,h),this.renderer.plot_view.model.use_map&&(null!=this._x&&(n=a.project_xy(this._x,this._y),this._x=n[0],this._y=n[1]),null!=this._xs&&(r=a.project_xsys(this._xs,this._ys),this._xs=r[0],this._ys=r[1]),null!=this._x0&&(s=a.project_xy(this._x0,this._y0),this._x0=s[0],this._y0=s[1]),null!=this._x1&&(o=a.project_xy(this._x1,this._y1),this._x1=o[0],this._y1=o[1])),null!=this.renderer.plot_view.frame.x_ranges)for(var y=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],g=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name],v=0,x=this.model._coords;v<x.length;v++){var m=x[v],w=m[0],b=m[1];w=\"_\"+w,b=\"_\"+b,null!=this._xs?(y instanceof f.FactorRange&&(this[w]=c.map(this[w],function(t){return y.v_synthetic(t)})),g instanceof f.FactorRange&&(this[b]=c.map(this[b],function(t){return g.v_synthetic(t)}))):(y instanceof f.FactorRange&&(this[w]=y.v_synthetic(this[w])),g instanceof f.FactorRange&&(this[b]=g.v_synthetic(this[b])))}null!=this.glglyph&&this.glglyph.set_data_changed(this._x.length),this._set_data(i),this.index_data()},i.prototype._set_data=function(t){},i.prototype.index_data=function(){this.index=this._index_data()},i.prototype.mask_data=function(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()},i.prototype.map_data=function(){for(var t,e=0,i=this.model._coords;e<i.length;e++){var n=i[e],r=n[0],s=n[1],o=\"s\"+r,a=\"s\"+s;if(s=\"_\"+s,null!=this[r=\"_\"+r]&&(y.isArray(this[r][0])||y.isTypedArray(this[r][0]))){var h=this[r].length;this[o]=new Array(h),this[a]=new Array(h);for(var _=0;_<h;_++){var l=this.map_to_screen(this[r][_],this[s][_]),p=l[0],c=l[1];this[o][_]=p,this[a][_]=c}}else t=this.map_to_screen(this[r],this[s]),this[o]=t[0],this[a]=t[1]}this._map_data()},i.prototype._map_data=function(){},i.prototype.map_to_screen=function(t,e){return this.renderer.plot_view.map_to_screen(t,e,this.model.x_range_name,this.model.y_range_name)},i}(_.View);i.GlyphView=g,g.__name__=\"GlyphView\";var v=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_Glyph=function(){this.prototype._coords=[],this.internal({x_range_name:[s.String,\"default\"],y_range_name:[s.String,\"default\"]})},e.coords=function(t){var e=this.prototype._coords.concat(t);this.prototype._coords=e;for(var i={},n=0,r=t;n<r.length;n++){var o=r[n],a=o[0],h=o[1];i[a]=[s.CoordinateSpec],i[h]=[s.CoordinateSpec]}this.define(i)},e}(l.Model);i.Glyph=v,v.__name__=\"Glyph\",v.init_Glyph()},\n",
       "      function _(t,n,r){var e=t(110),i=t(173);function o(t){return t*t}function u(t,n){return o(t.x-n.x)+o(t.y-n.y)}function a(t,n,r){var e=u(n,r);if(0==e)return u(t,n);var i=((t.x-n.x)*(r.x-n.x)+(t.y-n.y)*(r.y-n.y))/e;return u(t,i<0?n:i>1?r:{x:n.x+i*(r.x-n.x),y:n.y+i*(r.y-n.y)})}r.point_in_poly=function(t,n,r,e){for(var i=!1,o=r[r.length-1],u=e[e.length-1],a=0;a<r.length;a++){var s=r[a],_=e[a];u<n!=_<n&&o+(n-u)/(_-u)*(s-o)<t&&(i=!i),o=s,u=_}return i},r.point_in_ellipse=function(t,n,r,e,i,o,u){var a=Math.pow(Math.cos(r)/i,2)+Math.pow(Math.sin(r)/e,2),s=2*Math.cos(r)*Math.sin(r)*(Math.pow(1/i,2)-Math.pow(1/e,2)),_=Math.pow(Math.cos(r)/e,2)+Math.pow(Math.sin(r)/i,2);return a*Math.pow(t-o,2)+s*(t-o)*(n-u)+_*Math.pow(n-u,2)<=1},r.create_empty_hit_test_result=function(){return new i.Selection},r.create_hit_test_result_from_hits=function(t){var n=new i.Selection;return n.indices=e.sort_by(t,function(t){return t[0],t[1]}).map(function(t){var n=t[0];return t[1],n}),n},r.dist_2_pts=u,r.dist_to_segment_squared=a,r.dist_to_segment=function(t,n,r){return Math.sqrt(a(t,n,r))},r.check_2_segments_intersect=function(t,n,r,e,i,o,u,a){var s=(a-o)*(r-t)-(u-i)*(e-n);if(0==s)return{hit:!1,x:null,y:null};var _=n-o,h=t-i,c=(u-i)*_-(a-o)*h;return h=((r-t)*_-(e-n)*h)/s,{hit:(_=c/s)>0&&_<1&&h>0&&h<1,x:t+_*(r-t),y:n+_*(e-n)}}},\n",
       "      function _(t,n,r){var e=t(113),i=t(185),a=t(121),s=t(114),o=t(110),p=t(109);function u(t,n,r){void 0===r&&(r=0);for(var e={},i=0;i<t.length;i++){var a=t[i];if(a in e)throw new Error(\"duplicate factor or subfactor: \"+a);e[a]={value:.5+i*(1+n)+r}}return[e,(t.length-1)*n]}function h(t,n,r,e){void 0===e&&(e=0);for(var i={},a={},s=[],p=0,h=t;p<h.length;p++){var g=h[p],c=g[0],f=g[1];c in a||(a[c]=[],s.push(c)),a[c].push(f)}for(var l=e,d=0,_=function(t){var e=a[t].length,s=u(a[t],r,l),p=s[0],h=s[1];d+=h;var g=o.sum(a[t].map(function(t){return p[t].value}));i[t]={value:g/e,mapping:p},l+=e+n+h},v=0,m=s;v<m.length;v++){_(c=m[v])}return[i,s,(s.length-1)*n+d]}function g(t,n,r,e,i){void 0===i&&(i=0);for(var a={},s={},p=[],u=0,g=t;u<g.length;u++){var c=g[u],f=c[0],l=c[1],d=c[2];f in s||(s[f]=[],p.push(f)),s[f].push([l,d])}for(var _=[],v=i,m=0,y=function(t){for(var i=s[t].length,p=h(s[t],r,e,v),u=p[0],g=p[1],c=p[2],f=0,l=g;f<l.length;f++){var d=l[f];_.push([t,d])}m+=c;var y=o.sum(s[t].map(function(t){var n=t[0];return u[n].value}));a[t]={value:y/i,mapping:u},v+=i+n+c},b=0,N=p;b<N.length;b++){y(f=N[b])}return[a,p,_,(p.length-1)*n+m]}r.map_one_level=u,r.map_two_levels=h,r.map_three_levels=g;var c=function(t){function n(n){return t.call(this,n)||this}return e.__extends(n,t),n.init_FactorRange=function(){this.define({factors:[a.Array,[]],factor_padding:[a.Number,0],subgroup_padding:[a.Number,.8],group_padding:[a.Number,1.4],range_padding:[a.Number,0],range_padding_units:[a.PaddingUnits,\"percent\"],start:[a.Number],end:[a.Number]}),this.internal({levels:[a.Number],mids:[a.Array],tops:[a.Array],tops_groups:[a.Array]})},Object.defineProperty(n.prototype,\"min\",{get:function(){return this.start},enumerable:!0,configurable:!0}),Object.defineProperty(n.prototype,\"max\",{get:function(){return this.end},enumerable:!0,configurable:!0}),n.prototype.initialize=function(){t.prototype.initialize.call(this),this._init(!0)},n.prototype.connect_signals=function(){var n=this;t.prototype.connect_signals.call(this),this.connect(this.properties.factors.change,function(){return n.reset()}),this.connect(this.properties.factor_padding.change,function(){return n.reset()}),this.connect(this.properties.group_padding.change,function(){return n.reset()}),this.connect(this.properties.subgroup_padding.change,function(){return n.reset()}),this.connect(this.properties.range_padding.change,function(){return n.reset()}),this.connect(this.properties.range_padding_units.change,function(){return n.reset()})},n.prototype.reset=function(){this._init(!1),this.change.emit()},n.prototype._lookup=function(t){var n;if(1==t.length)return(n=this._mapping).hasOwnProperty(t[0])?n[t[0]].value:NaN;if(2==t.length)return(n=this._mapping).hasOwnProperty(t[0])&&n[t[0]].mapping.hasOwnProperty(t[1])?n[t[0]].mapping[t[1]].value:NaN;if(3==t.length)return(n=this._mapping).hasOwnProperty(t[0])&&n[t[0]].mapping.hasOwnProperty(t[1])&&n[t[0]].mapping[t[1]].mapping.hasOwnProperty(t[2])?n[t[0]].mapping[t[1]].mapping[t[2]].value:NaN;throw new Error(\"unreachable code\")},n.prototype.synthetic=function(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);var n=0,r=t[t.length-1];return p.isNumber(r)&&(n=r,t=t.slice(0,-1)),this._lookup(t)+n},n.prototype.v_synthetic=function(t){var n=this;return s.map(t,function(t){return n.synthetic(t)})},n.prototype._init=function(t){var n,r,e,i,a;if(o.every(this.factors,p.isString))i=1,n=u(this.factors,this.factor_padding),this._mapping=n[0],a=n[1];else if(o.every(this.factors,function(t){return p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1])}))i=2,r=h(this.factors,this.group_padding,this.factor_padding),this._mapping=r[0],this.tops=r[1],a=r[2];else{if(!o.every(this.factors,function(t){return p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2])}))throw new Error(\"???\");i=3,e=g(this.factors,this.group_padding,this.subgroup_padding,this.factor_padding),this._mapping=e[0],this.tops=e[1],this.mids=e[2],a=e[3]}var s=0,c=this.factors.length+a;if(\"percent\"==this.range_padding_units){var f=(c-s)*this.range_padding/2;s-=f,c+=f}else s-=this.range_padding,c+=this.range_padding;this.setv({start:s,end:c,levels:i},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[s,c]},{silent:!0})},n}(i.Range);r.FactorRange=c,c.__name__=\"FactorRange\",c.init_FactorRange()},\n",
       "      function _(t,n,e){var i=t(113),a=t(166),c=t(121),l=t(109),r=function(t){function n(n){var e=t.call(this,n)||this;return e.have_updated_interactively=!1,e}return i.__extends(n,t),n.init_Range=function(){this.define({callback:[c.Any],bounds:[c.Any],min_interval:[c.Any],max_interval:[c.Any]}),this.internal({plots:[c.Array,[]]})},n.prototype.connect_signals=function(){var n=this;t.prototype.connect_signals.call(this),this.connect(this.change,function(){return n._emit_callback()})},n.prototype._emit_callback=function(){null!=this.callback&&(l.isFunction(this.callback)?this.callback(this):this.callback.execute(this,{}))},Object.defineProperty(n.prototype,\"is_reversed\",{get:function(){return this.start>this.end},enumerable:!0,configurable:!0}),n}(a.Model);e.Range=r,r.__name__=\"Range\",r.init_Range()},\n",
       "      function _(e,t,i){var n=e(183);i.generic_line_legend=function(e,t,i,n){var r=i.x0,a=i.x1,l=i.y0,c=i.y1;t.save(),t.beginPath(),t.moveTo(r,(l+c)/2),t.lineTo(a,(l+c)/2),e.line.doit&&(e.line.set_vectorize(t,n),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,i,n){var r=i.x0,a=i.x1,l=i.y0,c=i.y1,o=.1*Math.abs(a-r),s=.1*Math.abs(c-l),_=r+o,v=a-o,h=l+s,x=c-s;e.fill.doit&&(e.fill.set_vectorize(t,n),t.fillRect(_,h,v-_,x-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,n),t.fillRect(_,h,v-_,x-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(_,h,v-_,x-h),e.line.set_vectorize(t,n),t.stroke())},i.line_interpolation=function(e,t,i,r,a,l){var c,o,s,_,v,h,x,y,f,d,g=t.sx,m=t.sy;\"point\"==t.type?(f=(c=e.yscale.r_invert(m-1,m+1))[0],d=c[1],x=(o=e.xscale.r_invert(g-1,g+1))[0],y=o[1]):\"v\"==t.direction?(f=(s=e.yscale.r_invert(m,m))[0],d=s[1],x=(_=[Math.min(i-1,a-1),Math.max(i+1,a+1)])[0],y=_[1]):(x=(v=e.xscale.r_invert(g,g))[0],y=v[1],f=(h=[Math.min(r-1,l-1),Math.max(r+1,l+1)])[0],d=h[1]);var u=n.check_2_segments_intersect(x,f,y,d,i,r,a,l);return[u.x,u.y]}},\n",
       "      function _(t,i,e){var n=t(113),s=t(178),l=t(186),o=t(183),r=function(t){function i(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(i,t),i.prototype._inner_loop=function(t,i,e,n,s){for(var l=0,o=i;l<o.length;l++){var r=o[l];0!=r?isNaN(e[r]+n[r])?(t.closePath(),s.apply(t),t.beginPath()):t.lineTo(e[r],n[r]):(t.beginPath(),t.moveTo(e[r],n[r]))}t.closePath(),s.call(t)},i.prototype._render=function(t,i,e){var n=this,s=e.sx,l=e.sy;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner_loop(t,i,s,l,t.fill)),this.visuals.hatch.doit2(t,0,function(){return n._inner_loop(t,i,s,l,t.fill)},function(){return n.renderer.request_render()}),this.visuals.line.doit&&(this.visuals.line.set_value(t),this._inner_loop(t,i,s,l,t.stroke))},i.prototype.draw_legend_for_index=function(t,i,e){l.generic_area_legend(this.visuals,t,i,e)},i.prototype._hit_point=function(t){var i=this,e=o.create_empty_hit_test_result();return o.point_in_poly(t.sx,t.sy,this.sx,this.sy)&&(e.add_to_selected_glyphs(this.model),e.get_view=function(){return i}),e},i}(s.XYGlyphView);e.PatchView=r,r.__name__=\"PatchView\";var _=function(t){function i(i){return t.call(this,i)||this}return n.__extends(i,t),i.init_Patch=function(){this.prototype.default_view=r,this.mixins([\"line\",\"fill\",\"hatch\"])},i}(s.XYGlyph);e.Patch=_,_.__name__=\"Patch\",_.init_Patch()},\n",
       "      function _(t,e,i){var n=t(113),r=t(189),s=t(179),o=t(183),a=t(121),h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(e,t),e.prototype._index_data=function(){for(var t=[],e=0,i=this._x1.length;e<i;e++){var n=this._x1[e],r=this._x2[e],o=this._y[e];!isNaN(n+r+o)&&isFinite(n+r+o)&&t.push({x0:Math.min(n,r),y0:o,x1:Math.max(n,r),y1:o,i:e})}return new s.SpatialIndex(t)},e.prototype._inner=function(t,e,i,n,r){t.beginPath();for(var s=0,o=e.length;s<o;s++)t.lineTo(e[s],n[s]);for(s=i.length-1;s>=0;s--)t.lineTo(i[s],n[s]);t.closePath(),r.call(t)},e.prototype._render=function(t,e,i){var n=this,r=i.sx1,s=i.sx2,o=i.sy;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,r,s,o,t.fill)),this.visuals.hatch.doit2(t,0,function(){return n._inner(t,r,s,o,t.fill)},function(){return n.renderer.request_render()})},e.prototype._hit_point=function(t){for(var e=this,i=o.create_empty_hit_test_result(),n=this.sy.length,r=new Float64Array(2*n),s=new Float64Array(2*n),a=0,h=n;a<h;a++)r[a]=this.sx1[a],s[a]=this.sy[a],r[n+a]=this.sx2[n-a-1],s[n+a]=this.sy[n-a-1];return o.point_in_poly(t.sx,t.sy,r,s)&&(i.add_to_selected_glyphs(this.model),i.get_view=function(){return e}),i},e.prototype.scenterx=function(t){return(this.sx1[t]+this.sx2[t])/2},e.prototype.scentery=function(t){return this.sy[t]},e.prototype._map_data=function(){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}(r.AreaView);i.HAreaView=h,h.__name__=\"HAreaView\";var _=function(t){function e(e){return t.call(this,e)||this}return n.__extends(e,t),e.init_HArea=function(){this.prototype.default_view=h,this.define({x1:[a.CoordinateSpec],x2:[a.CoordinateSpec],y:[a.CoordinateSpec]})},e}(r.Area);i.HArea=_,_.__name__=\"HArea\",_.init_HArea()},\n",
       "      function _(n,e,i){var t=n(113),r=n(182),_=n(186),a=function(n){function e(){return null!==n&&n.apply(this,arguments)||this}return t.__extends(e,n),e.prototype.draw_legend_for_index=function(n,e,i){_.generic_area_legend(this.visuals,n,e,i)},e}(r.GlyphView);i.AreaView=a,a.__name__=\"AreaView\";var u=function(n){function e(e){return n.call(this,e)||this}return t.__extends(e,n),e.init_Area=function(){this.mixins([\"fill\",\"hatch\"])},e}(r.Glyph);i.Area=u,u.__name__=\"Area\",u.init_Area()},\n",
       "      function _(t,e,i){var n=t(113),r=t(189),s=t(179),o=t(183),a=t(121),h=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n.__extends(e,t),e.prototype._index_data=function(){for(var t=[],e=0,i=this._x.length;e<i;e++){var n=this._x[e],r=this._y1[e],o=this._y2[e];!isNaN(n+r+o)&&isFinite(n+r+o)&&t.push({x0:n,y0:Math.min(r,o),x1:n,y1:Math.max(r,o),i:e})}return new s.SpatialIndex(t)},e.prototype._inner=function(t,e,i,n,r){t.beginPath();for(var s=0,o=i.length;s<o;s++)t.lineTo(e[s],i[s]);for(s=n.length-1;s>=0;s--)t.lineTo(e[s],n[s]);t.closePath(),r.call(t)},e.prototype._render=function(t,e,i){var n=this,r=i.sx,s=i.sy1,o=i.sy2;this.visuals.fill.doit&&(this.visuals.fill.set_value(t),this._inner(t,r,s,o,t.fill)),this.visuals.hatch.doit2(t,0,function(){return n._inner(t,r,s,o,t.fill)},function(){return n.renderer.request_render()})},e.prototype.scenterx=function(t){return this.sx[t]},e.prototype.scentery=function(t){return(this.sy1[t]+this.sy2[t])/2},e.prototype._hit_point=function(t){for(var e=this,i=o.create_empty_hit_test_result(),n=this.sx.length,r=new Float64Array(2*n),s=new Float64Array(2*n),a=0,h=n;a<h;a++)r[a]=this.sx[a],s[a]=this.sy1[a],r[n+a]=this.sx[n-a-1],s[n+a]=this.sy2[n-a-1];return o.point_in_poly(t.sx,t.sy,r,s)&&(i.add_to_selected_glyphs(this.model),i.get_view=function(){return e}),i},e.prototype._map_data=function(){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}(r.AreaView);i.VAreaVie