{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1432\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  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",
       "    if (id != null && id in Bokeh.index) {\n",
       "      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",
       "            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",
       "          }\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",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // 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",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\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",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      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(\"1432\");\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",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.3/dist/panel.min.js\"];\n",
       "  var css_urls = [\"http://localhost:5006/static/extensions/panel/css/alerts.css\", \"http://localhost:5006/static/extensions/panel/css/card.css\", \"http://localhost:5006/static/extensions/panel/css/dataframe.css\", \"http://localhost:5006/static/extensions/panel/css/json.css\", \"http://localhost:5006/static/extensions/panel/css/markdown.css\", \"http://localhost:5006/static/extensions/panel/css/widgets.css\"];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1432\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \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(\"1432\");\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      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.3/dist/panel.min.js\"];\n  var css_urls = [\"http://localhost:5006/static/extensions/panel/css/alerts.css\", \"http://localhost:5006/static/extensions/panel/css/card.css\", \"http://localhost:5006/static/extensions/panel/css/dataframe.css\", \"http://localhost:5006/static/extensions/panel/css/json.css\", \"http://localhost:5006/static/extensions/panel/css/markdown.css\", \"http://localhost:5006/static/extensions/panel/css/widgets.css\"];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1432\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 612012)\n"
     ]
    },
    {
     "data": {
      "image/png": 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VPnl8CD0QePBwggcPJxnocigxvV/i4H5/T06l6DUgqf0djGnEe3Z6wnS5OZL20ccjlEMFXcp4iFTi+JeTdwzBp08esYN7JVHbDYheAwJs6CxN8BLlPH3yiE2mmuYX9zQePKTa8FOU9ODhBINxL9j5dsSH5trPX56H95/ju33adntW37fDOXcutgHZg9GD6NO5j781el9D7lrc2kq3p6h97GMf+9jHPvaxj31s4n8BmJdJhNWOxSoAAAAASUVORK5CYII=\n",
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MQn/3SI8bTA+LDIumE0UWAMGI4VPnl8CD0QePBwggcPJxnocigxvV/i4H5/T06l6DUgqf0djGnEe3Z6wnS5OZL20ccjlEMFXcp4iFTi+JeTdwzBp08esYN7JVHbDYheAwJs6CxN8BLlPH3yiE2mmuYX9zQePKTa8FOU9ODhBINxL9j5dsSH5trPX56H95/ju33adntW37fDOXcutgHZg9GD6NO5j781el9D7lrc2kq3p6h97GMf+9jHPvaxj31s4n8BmJdJhNWOxSoAAAAASUVORK5CYII='/>"
      ],
      "text/plain": [
       "<xarray.Image (y: 100, x: 100)>\n",
       "array([[0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       ...,\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0],\n",
       "       [0, 0, 0, ..., 0, 0, 0]], dtype=uint32)\n",
       "Coordinates:\n",
       "  * x        (x) float64 0.05 0.15 0.25 0.35 0.45 ... 9.55 9.65 9.75 9.85 9.95\n",
       "  * y        (y) float64 -0.49 -0.47 -0.45 -0.43 -0.41 ... 1.43 1.45 1.47 1.49"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datashader\n",
    "import bokeh.plotting\n",
    "import collections\n",
    "import xarray\n",
    "import time\n",
    "from bokeh.palettes import Colorblind7 as palette\n",
    "%config InlineBackend.figure_format='retina'\n",
    "bokeh.plotting.output_notebook()\n",
    "\n",
    "# create some data worth plotting\n",
    "#nx = 50\n",
    "x_range=[0,10]\n",
    "y_range=[-0.5,1.5]\n",
    "#x = np.linspace(0, np.pi * 2, nx)\n",
    "#y = np.sin(x)\n",
    "#n = 10000\n",
    "#data = np.empty([n+1, len(y)])\n",
    "#data[0] = x\n",
    "#prng = np.random.RandomState(123)\n",
    "#\n",
    "## scale the data using a random normal distribution\n",
    "#offset = prng.normal(0, 0.1, n).reshape(n, -1)\n",
    "#data[1:] = y\n",
    "#data[1:] += offset\n",
    "data=np.loadtxt(\"C-800-coordN\").T\n",
    "print(data.shape)\n",
    "\n",
    "# make some data noisy\n",
    "#n_noisy = prng.randint(0, n,5)\n",
    "#for i in n_noisy:\n",
    "#    data[i+1] += prng.normal(0, 0.5, nx)\n",
    "\n",
    "dfs = []\n",
    "split = pd.DataFrame({'x': [np.nan]})\n",
    "for i in range(len(data)-1):\n",
    "    x = data[0]\n",
    "    y = data[i+1]\n",
    "    df = pd.DataFrame({'x': x, 'y': y})\n",
    "    dfs.append(df)\n",
    "    dfs.append(split)\n",
    "\n",
    "df = pd.concat(dfs, ignore_index=True)   \n",
    "\n",
    "canvas = datashader.Canvas(x_range=x_range, y_range=y_range, \n",
    "                           plot_height=100, plot_width=100)\n",
    "agg = canvas.line(df, 'x', 'y', datashader.count())\n",
    "img = datashader.transfer_functions.shade(agg,how='log')\n",
    "#img = datashader.transfer_functions.shade(agg, how='eq_hist')\n",
    "img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1298\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  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",
       "    if (id != null && id in Bokeh.index) {\n",
       "      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",
       "            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",
       "          }\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",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // 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",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\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",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      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(\"1298\");\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",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.3/dist/panel.min.js\"];\n",
       "  var css_urls = [\"http://localhost:5006/static/extensions/panel/css/alerts.css\", \"http://localhost:5006/static/extensions/panel/css/card.css\", \"http://localhost:5006/static/extensions/panel/css/dataframe.css\", \"http://localhost:5006/static/extensions/panel/css/json.css\", \"http://localhost:5006/static/extensions/panel/css/markdown.css\", \"http://localhost:5006/static/extensions/panel/css/widgets.css\"];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1298\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \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(\"1298\");\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      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.3/dist/panel.min.js\"];\n  var css_urls = [\"http://localhost:5006/static/extensions/panel/css/alerts.css\", \"http://localhost:5006/static/extensions/panel/css/card.css\", \"http://localhost:5006/static/extensions/panel/css/dataframe.css\", \"http://localhost:5006/static/extensions/panel/css/json.css\", \"http://localhost:5006/static/extensions/panel/css/markdown.css\", \"http://localhost:5006/static/extensions/panel/css/widgets.css\"];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1298\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2, 612012)\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      require([], function() {\n",
       "      })\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) >= 0) { on_load(); continue; }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "\tif (!js_urls.length) {\n",
       "      on_load()\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  var js_urls = [];\n",
       "  var css_urls = [];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\".bk.alert {\\n    padding: 0.75rem 1.25rem;\\n    border: 1px solid transparent;\\n    border-radius: 0.25rem;\\n    /* Don't set margin because that will not render correctly! */\\n    /* margin-bottom: 1rem; */\\n    margin-top: 15px;\\n    margin-bottom: 15px;\\n}\\n.bk.alert a {\\n    color: rgb(11, 46, 19); /* #002752; */\\n    font-weight: 700;\\n    text-decoration: rgb(11, 46, 19);\\n    text-decoration-color: rgb(11, 46, 19);\\n    text-decoration-line: none;\\n    text-decoration-style: solid;\\n    text-decoration-thickness: auto;\\n  }\\n.bk.alert a:hover {\\n    color: rgb(11, 46, 19);\\n    font-weight: 700;\\n    text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n    color: #004085;\\n    background-color: #cce5ff;\\n    border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n    border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n    color: #383d41;\\n    background-color: #e2e3e5;\\n    border-color: #d6d8db;\\n  }\\n.bk.alert-secondary hr {\\n    border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n    color: #155724;\\n    background-color: #d4edda;\\n    border-color: #c3e6cb;\\n  }\\n\\n.bk.alert-success hr {\\n    border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n    color: #0c5460;\\n    background-color: #d1ecf1;\\n    border-color: #bee5eb;\\n  }\\n.bk.alert-info hr {\\n    border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n    color: #856404;\\n    background-color: #fff3cd;\\n    border-color: #ffeeba;\\n  }\\n\\n.bk.alert-warning hr {\\n    border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n    color: #721c24;\\n    background-color: #f8d7da;\\n    border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n    border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n    color: #818182;\\n    background-color: #fefefe;\\n    border-color: #fdfdfe;\\n  }\\n.bk.alert-light hr {\\n    border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n    color: #1b1e21;\\n    background-color: #d6d8d9;\\n    border-color: #c6c8ca;\\n  }\\n.bk.alert-dark hr {\\n    border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n    color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n    color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n    color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n    color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n    color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n    color: #491217;\\n}\\n\\n.bk.alert-light a {\\n    color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n    color: #040505;\\n}\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\".bk.card {\\n  border: 1px solid rgba(0,0,0,.125);\\n  border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n  border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0.25rem;\\n  display: flex;\\n  justify-content: space-between;\\n  padding: 0 1.25rem 0 0;\\n  width: 100%;\\n}\\n.bk.accordion-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0;\\n  display: flex;\\n  justify-content: space-between;\\n  padding: 0 1.25rem 0 0;\\n  width: 100%;\\n}\\np.bk.card-button {\\n  background-color: transparent;\\n  font-size: 1.25rem;\\n  font-weight: 700;\\n  margin: 0;\\n  margin-left: -15px;\\n}\\n.bk.card-header-row {\\n  position: relative !important;\\n}\\n.bk.card-title {\\n  align-items: center;\\n  display: flex !important;\\n  font-size: 1.4em;\\n  font-weight: bold;\\n  padding: 0.25em;\\n  position: relative !important;\\n}\\n\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      inject_raw_css(\".bk.panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n  from {background-position: 0%}\\n  to {background-position: 100%}\\n}\\n\\n.bk.loader::after {\\n  content: \\\"\\\";\\n  border-radius: 50%;\\n  -webkit-mask-image: radial-gradient(transparent 50%, rgba(0, 0, 0, 1) 54%);\\n  width: 100%;\\n  height: 100%;\\n  left: 0;\\n  top: 0;\\n  position: absolute;\\n}\\n\\n.bk-root .bk.loader.dark::after {\\n  background: #0f0f0f;\\n}\\n\\n.bk-root .bk.loader.light::after {\\n  background: #f0f0f0;\\n}\\n\\n.bk-root .bk.loader.spin::after {\\n  animation: spin 2s linear infinite;\\n}\\n\\n.bk-root div.bk.loader.spin.primary-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #dc3545 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.warning-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.dark-light::after {\\n  background: linear-gradient(135deg, #f0f0f0 50%, transparent 50%), linear-gradient(45deg, #f0f0f0 50%, #343a40 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.primary-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #007bff 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.secondary-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #6c757d 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.success-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #28a745 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.danger-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #dc3545 50%)\\n}\\n\\n.bk-root div.bk.loader.spin.warning-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #ffc107 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.info-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #17a2b8 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.light-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #f8f9fa 50%);\\n}\\n\\n.bk-root div.bk.loader.spin.dark-dark::after {\\n  background: linear-gradient(135deg, #0f0f0f 50%, transparent 50%), linear-gradient(45deg, #0f0f0f 50%, #343a40 50%);\\n}\\n\\n/* Safari */\\n@-webkit-keyframes spin {\\n  0% { -webkit-transform: rotate(0deg); }\\n  100% { -webkit-transform: rotate(360deg); }\\n}\\n\\n@keyframes spin {\\n  0% { transform: rotate(0deg); }\\n  100% { transform: rotate(360deg); }\\n}\\n\\n.dot div {\\n  height: 100%;\\n  width: 100%;\\n  border: 1px solid #000 !important;\\n  background-color: #fff;\\n  border-radius: 50%;\\n  display: inline-block;\\n}\\n\\n.dot-filled div {\\n  height: 100%;\\n  width: 100%;\\n  border: 1px solid #000 !important;\\n  border-radius: 50%;\\n  display: inline-block;\\n}\\n\\n.dot-filled.primary div {\\n  background-color: #007bff;\\n}\\n\\n.dot-filled.secondary div {\\n  background-color: #6c757d;\\n}\\n\\n.dot-filled.success div {\\n  background-color: #28a745;\\n}\\n\\n.dot-filled.danger div {\\n  background-color: #dc3545;\\n}\\n\\n.dot-filled.warning div {\\n  background-color: #ffc107;\\n}\\n\\n.dot-filled.info div {\\n  background-color: #17a2b8;\\n}\\n\\n.dot-filled.dark div {\\n  background-color: #343a40;\\n}\\n\\n.dot-filled.light div {\\n  background-color: #f8f9fa;\\n}\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      /* BEGIN bokeh.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
       "      */\n",
       "      (function(root, factory) {\n",
       "        const bokeh = factory();\n",
       "        bokeh.__bokeh__ = true;\n",
       "        if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n",
       "          root.Bokeh = bokeh;\n",
       "        }\n",
       "        const Bokeh = root.Bokeh;\n",
       "        Bokeh[bokeh.version] = bokeh;\n",
       "      })(this, function() {\n",
       "        var define;\n",
       "        var parent_require = typeof require === \"function\" && require\n",
       "        return (function(modules, entry, aliases, externals) {\n",
       "          if (aliases === undefined) aliases = {};\n",
       "          if (externals === undefined) externals = {};\n",
       "\n",
       "          var cache = {};\n",
       "\n",
       "          var normalize = function(name) {\n",
       "            if (typeof name === \"number\")\n",
       "              return name;\n",
       "\n",
       "            if (name === \"bokehjs\")\n",
       "              return entry;\n",
       "\n",
       "            var prefix = \"@bokehjs/\"\n",
       "            if (name.slice(0, prefix.length) === prefix)\n",
       "              name = name.slice(prefix.length)\n",
       "\n",
       "            var alias = aliases[name]\n",
       "            if (alias != null)\n",
       "              return alias;\n",
       "\n",
       "            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n",
       "            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n",
       "            if (index != null)\n",
       "              return index;\n",
       "\n",
       "            return name;\n",
       "          }\n",
       "\n",
       "          var require = function(name) {\n",
       "            var mod = cache[name];\n",
       "            if (!mod) {\n",
       "              var id = normalize(name);\n",
       "\n",
       "              mod = cache[id];\n",
       "              if (!mod) {\n",
       "                if (!modules[id]) {\n",
       "                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n",
       "                    try {\n",
       "                      mod = {exports: externals[id] ? parent_require(id) : {}};\n",
       "                      cache[id] = cache[name] = mod;\n",
       "                      return mod.exports;\n",
       "                    } catch (e) {}\n",
       "                  }\n",
       "\n",
       "                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n",
       "                  err.code = 'MODULE_NOT_FOUND';\n",
       "                  throw err;\n",
       "                }\n",
       "\n",
       "                mod = {exports: {}};\n",
       "                cache[id] = cache[name] = mod;\n",
       "                modules[id].call(mod.exports, require, mod, mod.exports);\n",
       "              } else\n",
       "                cache[name] = mod;\n",
       "            }\n",
       "\n",
       "            return mod.exports;\n",
       "          }\n",
       "          require.resolve = function(name) {\n",
       "            return \"\"\n",
       "          }\n",
       "\n",
       "          var main = require(entry);\n",
       "          main.require = require;\n",
       "\n",
       "          if (typeof Proxy !== \"undefined\") {\n",
       "            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n",
       "            main.loader = new Proxy({}, {\n",
       "              get: function(_obj, module) {\n",
       "                return require(module);\n",
       "              }\n",
       "            });\n",
       "          }\n",
       "\n",
       "          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n",
       "            if (plugin_aliases === undefined) plugin_aliases = {};\n",
       "            if (plugin_externals === undefined) plugin_externals = {};\n",
       "\n",
       "            for (var name in plugin_modules) {\n",
       "              modules[name] = plugin_modules[name];\n",
       "            }\n",
       "\n",
       "            for (var name in plugin_aliases) {\n",
       "              aliases[name] = plugin_aliases[name];\n",
       "            }\n",
       "\n",
       "            for (var name in plugin_externals) {\n",
       "              externals[name] = plugin_externals[name];\n",
       "            }\n",
       "\n",
       "            var plugin = require(plugin_entry);\n",
       "\n",
       "            for (var name in plugin) {\n",
       "              main[name] = plugin[name];\n",
       "            }\n",
       "\n",
       "            return plugin;\n",
       "          }\n",
       "\n",
       "          return main;\n",
       "        })\n",
       "      ([\n",
       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});e(1).__exportStar(e(2),_)},\n",
       "      function _(t,e,n){\n",
       "      /*! *****************************************************************************\n",
       "          Copyright (c) Microsoft Corporation.\n",
       "          \n",
       "          Permission to use, copy, modify, and/or distribute this software for any\n",
       "          purpose with or without fee is hereby granted.\n",
       "          \n",
       "          THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n",
       "          REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n",
       "          AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\n",
       "          INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\n",
       "          LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\n",
       "          OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\n",
       "          PERFORMANCE OF THIS SOFTWARE.\n",
       "          ***************************************************************************** */\n",
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WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof p.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new _.DocumentReady),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=u.union(e,t.references());const t=new Set(this._all_models.values()),s=u.difference(t,e),o=u.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(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 b.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new b.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new b.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof v.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof b.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new b.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const o=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(n.Models(t))(o)}static _instantiate_references_json(e,t){const s=new Map;for(const o of e){const e=o.id,n=o.type,r=o.attributes||{};let i=t.get(e);null==i&&(i=j._instantiate_object(e,n,r),null!=o.subtype&&i.set_subtype(o.subtype)),s.set(i.id,i)}return s}static _resolve_refs(e,t,s,o){function n(e){if(c.is_ref(e)){if(t.has(e.id))return t.get(e.id);if(s.has(e.id))return s.get(e.id);throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return h.is_NDArray_ref(e)?h.decode_NDArray(e,o):g.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):g.isPlainObject(e)?function(e){const t={};for(const[s,o]of f.entries(e))t[s]=n(o);return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=j._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e of f.values(o))_(e);s&&(t.finalize(),r.push(t))}}else if(g.isArray(e))for(const t of e)_(t);else if(g.isPlainObject(e))for(const t of f.values(e))_(t)}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(j._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(j._event_for_attribute_change(e,n,i,s,o)):m.isEqual(r,i)||c.push(j._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=j._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:j._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:j._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return j.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=j._instantiate_references_json(a,new Map);j._initialize_references_json(a,new Map,l,new Map);const c=new j;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){j.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:j._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=j._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);j._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=j._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=j._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=j._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof w.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof w.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=j,j.__name__=\"Document\"},\n",
       "      function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13),i=e(14);s.overrides={};const l=new Map;s.Models=e=>{const r=s.overrides[e]||l.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const n of d.values(e))if(o=n,t.isObject(o)&&o.prototype instanceof i.HasProps){const e=n.__qualified__;r||!l.has(e)?l.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(l.keys());const n=o.__importStar(e(34));s.register_models(n)},\n",
       "      function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
       "      const e=n(9),i=Object.prototype.toString;function o(n){return\"[object Number]\"===i.call(n)}function c(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===i.call(n)},r.isNumber=o,r.isInteger=function(n){return o(n)&&Number.isInteger(n)},r.isString=function(n){return\"[object String]\"===i.call(n)},r.isFunction=function(n){return\"[object Function]\"===i.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r<e;r++)if(!t(n[r]))return!1;return!0},r.isTypedArray=function(n){return ArrayBuffer.isView(n)&&!(n instanceof DataView)},r.isObject=c,r.isPlainObject=function(n){return c(n)&&(null==n.constructor||n.constructor===Object)},r.isIterable=function(n){return Symbol.iterator in Object(n)}},\n",
       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
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       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});class o extends Error{}n.AssertionError=o,o.__name__=\"AssertionError\",n.assert=function(e,r){if(!(!0===e||!1!==e&&e()))throw new o(null!=r?r:\"Assertion failed\")},n.unreachable=function(){throw new Error(\"unreachable code\")}},\n",
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       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),n=t(15),i=t(17),o=s.__importStar(t(18)),c=s.__importStar(t(21)),a=s.__importStar(t(28)),_=t(29),u=t(9),f=t(13),l=t(8),h=t(25),p=t(5),d=t(30),y=t(31),g=t(25),v=t(33),m=s.__importStar(t(21));class b extends(n.Signalable()){constructor(t={}){var e;super(),this._subtype=void 0,this.document=null,this.destroyed=new n.Signal0(this,\"destroyed\"),this.change=new n.Signal0(this,\"change\"),this.transformchange=new n.Signal0(this,\"transformchange\"),this.properties={},this._pending=!1,this._changing=!1;const r=t instanceof Map?t.get:e=>t[e];for(const[t,{type:e,default_value:s,options:n}]of f.entries(this._props)){let i;i=e instanceof c.Kind?new o.PrimitiveProperty(this,t,e,s,r(t),n):new e(this,t,c.Any,s,r(t),n),this.properties[t]=i}null!==(e=r(\"__deferred__\"))&&void 0!==e&&e||(this.finalize(),this.connect_signals())}set type(t){console.warn(\"prototype.type = 'ModelName' is deprecated, use static 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this.setv({[e]:t}),this},configurable:!1,enumerable:!0});const[t,s,n]=r,i={type:t,default_value:this._fix_default(s,e),options:n},o=f.clone(this.prototype._props);o[e]=i,this.prototype._props=o}}static internal(t){const e={};for(const[r,s]of f.entries(t)){const[t,n,i={}]=s;e[r]=[t,n,Object.assign(Object.assign({},i),{internal:!0})]}this.define(e)}static mixins(t){function e(t){switch(t){case\"line\":return a.LineVector;case\"fill\":return a.FillVector;case\"hatch\":return a.HatchVector;case\"text\":return a.TextVector;default:throw new Error(`Unknown property mixin kind '${t}'`)}}function r(t,e){const r={};for(const[s,n]of f.entries(e))r[t+s]=n;return r}function s(t){const[e]=Object.keys(t),[r]=e.split(\"_\",1);return r}l.isArray(t)||(t=[t]);const n={},i=[];for(const o of t)if(l.isString(o)){const[t,s=\"\"]=o.split(\":\"),c=e(t);i.push(o),f.extend(n,r(s,c))}else if(l.isArray(o)){const[t,e]=o;i.push(`${s(e)}:${t}`),f.extend(n,r(t,e))}else{const t=o;i.push(s(t)),f.extend(n,t)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(t){for(const[e,r]of f.entries(t)){const t=this._fix_default(r,e),s=this.prototype._props[e];if(null==s)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${e}'`);const n=f.clone(this.prototype._props);n[e]=Object.assign(Object.assign({},s),{default_value:t}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(t){const e=this.properties[t];if(null!=e)return e;throw new Error(`unknown property ${this.type}.${t}`)}get attributes(){const t={};for(const e of this)t[e.attr]=e.get_value();return t}[g.equals](t,e){for(const r of this){const s=t.property(r.attr);if(e.eq(r.get_value(),s.get_value()))return!1}return!0}[v.pretty](t){const e=t.token,r=[];for(const s of this)if(s.dirty){const n=s.get_value();r.push(`${s.attr}${e(\":\")} ${t.to_string(n)}`)}return`${this.constructor.__qualified__}${e(\"(\")}${e(\"{\")}${r.join(e(\",\")+\" \")}${e(\"}\")}${e(\")\")}`}finalize(){for(const t of this)null!=t.spec.transform&&this.connect(t.spec.transform.change,()=>this.transformchange.emit());this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(t,e){const r=e.check_eq,s=[],n=this._changing;this._changing=!0;for(const[e,n]of t)!1!==r&&h.isEqual(e.get_value(),n)||(e.set_value(n),s.push(e));s.length>0&&(this._pending=!0);for(const t of s)t.change.emit();if(!n){if(!e.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(t,e={}){const r=f.entries(t);if(0==r.length)return;if(!0===e.silent){for(const[t,e]of r)this.properties[t].set_value(e);return}const s=new Map,n=new Map;for(const[t,e]of r){const r=this.properties[t];s.set(r,e),n.set(r,r.get_value())}this._setv(s,e);const{document:i}=this;if(null!=i){const t=[];for(const[e,r]of n)t.push([e,r,e.get_value()]);for(const[,e,r]of t)if(this._needs_invalidate(e,r)){i._invalidate_all_models();break}this._push_changes(t,e)}}getv(t){return this.property(t).get_value()}ref(){return{id:this.id}}struct(){const t={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(t.subtype=this._subtype),t}set_subtype(t){this._subtype=t}*[Symbol.iterator](){yield*f.values(this.properties)}*syncable_properties(){for(const t of this)t.syncable&&(yield t)}serializable_attributes(){const t={};for(const e of this.syncable_properties())t[e.attr]=e.get_value();return t}static _value_to_json(t){if(t instanceof b)return t.ref();if(d.is_NDArray(t))return y.encode_NDArray(t);if(l.isArray(t)||l.isTypedArray(t)){const e=t.length,r=new Array(e);for(let s=0;s<e;s++){const e=t[s];r[s]=b._value_to_json(e)}return r}if(l.isPlainObject(t)){const e={};for(const[r,s]of f.entries(t))e[r]=b._value_to_json(s);return e}return t}attributes_as_json(t=!0,e=b._value_to_json){const r={};for(const s of this)s.syncable&&(t||s.dirty)&&(r[s.attr]=e(s.get_value()));return r}static _json_record_references(t,e,r,s){const{recursive:n}=s;if(i.is_ref(e)){const s=t.get_model_by_id(e.id);null==s||r.has(s)||b._value_record_references(s,r,{recursive:n})}else if(l.isArray(e))for(const s of e)b._json_record_references(t,s,r,{recursive:n});else if(l.isPlainObject(e))for(const s of f.values(e))b._json_record_references(t,s,r,{recursive:n})}static _value_record_references(t,e,r){const{recursive:s}=r;if(t instanceof b){if(!e.has(t)&&(e.add(t),s)){const r=t._immediate_references();for(const t of r)b._value_record_references(t,e,{recursive:!0})}}else if(l.isArray(t))for(const r of t)b._value_record_references(r,e,{recursive:s});else if(l.isPlainObject(t))for(const r of f.values(t))b._value_record_references(r,e,{recursive:s})}_immediate_references(){const t=new Set;for(const e of this.syncable_properties()){const r=e.get_value();b._value_record_references(r,t,{recursive:!1})}return t}references(){const t=new Set;return b._value_record_references(this,t,{recursive:!0}),t}_doc_attached(){}_doc_detached(){}attach_document(t){if(null!=this.document&&this.document!=t)throw new Error(\"models must be owned by only a single document\");this.document=t,this._doc_attached()}detach_document(){this._doc_detached(),this.document=null}_needs_invalidate(t,e){const r=new Set;b._value_record_references(e,r,{recursive:!1});const s=new Set;b._value_record_references(t,s,{recursive:!1});for(const t of r)if(!s.has(t))return!0;for(const t of s)if(!r.has(t))return!0;return!1}_push_changes(t,e={}){const{document:r}=this;if(null==r)return;const{setter_id:s}=e,n=[];for(const[e,i,o]of t)e.syncable&&n.push(new p.ModelChangedEvent(r,this,e.attr,i,o,s));if(0!=n.length){let t;1==n.length?[t]=n:t=new p.DocumentEventBatch(r,n,s),r._trigger_on_change(t)}}materialize_dataspecs(t){const e={};for(const r of this){if(!(r instanceof o.VectorSpec))continue;if(r.optional&&null==r.spec.value&&!r.dirty)continue;const s=r.attr,n=r.array(t);e[\"_\"+s]=n,r instanceof o.DistanceSpec&&(e[\"max_\"+s]=u.max(n))}return e}on_change(t,e){for(const r of l.isArray(t)?t:[t])this.connect(r.change,e)}}r.HasProps=b,b.init_HasProps()},\n",
       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=n(16),s=n(9);class o{constructor(n,t){this.sender=n,this.name=t}connect(n,t=null){c.has(this.sender)||c.set(this.sender,[]);const e=c.get(this.sender);if(null!=u(e,this,n,t))return!1;const l=null!=t?t:n;r.has(l)||r.set(l,[]);const s=r.get(l),o={signal:this,slot:n,context:t};return e.push(o),s.push(o),!0}disconnect(n,t=null){const e=c.get(this.sender);if(null==e||0===e.length)return!1;const l=u(e,this,n,t);if(null==l)return!1;const s=null!=t?t:n,o=r.get(s);return l.signal=null,a(e),a(o),!0}emit(n){var t;const e=null!==(t=c.get(this.sender))&&void 0!==t?t:[];for(const{signal:t,slot:l,context:s}of e)t===this&&l.call(s,n,this.sender)}}e.Signal=o,o.__name__=\"Signal\";class i extends o{emit(){super.emit(void 0)}}e.Signal0=i,i.__name__=\"Signal0\",function(n){n.disconnectBetween=function(n,t){const e=c.get(n);if(null==e||0===e.length)return;const l=r.get(t);if(null!=l&&0!==l.length){for(const t of l){if(null==t.signal)return;t.signal.sender===n&&(t.signal=null)}a(e),a(l)}},n.disconnectSender=function(n){var t;const e=c.get(n);if(null!=e&&0!==e.length){for(const n of e){if(null==n.signal)return;const e=null!==(t=n.context)&&void 0!==t?t:n.slot;n.signal=null,a(r.get(e))}a(e)}},n.disconnectReceiver=function(n){const t=r.get(n);if(null!=t&&0!==t.length){for(const n of t){if(null==n.signal)return;const t=n.signal.sender;n.signal=null,a(c.get(t))}a(t)}},n.disconnectAll=function(n){const t=c.get(n);if(null!=t&&0!==t.length){for(const n of t)n.signal=null;a(t)}const e=r.get(n);if(null!=e&&0!==e.length){for(const n of e)n.signal=null;a(e)}}}(o||(e.Signal=o={})),e.Signalable=function(){return class{connect(n,t){return n.connect(t,this)}disconnect(n,t){return n.disconnect(t,this)}}};const c=new WeakMap,r=new WeakMap;function u(n,t,e,l){return s.find(n,n=>n.signal===t&&n.slot===e&&n.context===l)}const g=new Set;function a(n){0===g.size&&l.defer(f),g.add(n)}function f(){for(const n of g)s.remove_by(n,n=>null==n.signal);g.clear()}},\n",
       "      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n",
       "      //     (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
       "      function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const c=function(){l=!1===t.leading?0:Date.now(),r=null,i=n.apply(u,o),r||(u=o=null)};return function(){const a=Date.now();l||!1!==t.leading||(l=a);const f=e-(a-l);return u=this,o=arguments,f<=0||f>e?(r&&(clearTimeout(r),r=null),l=a,i=n.apply(u,o),r||(u=o=null)):r||!1===t.trailing||(r=setTimeout(c,f)),i}},t.once=function(n){let e,t=!1;return function(){return t||(t=!0,e=n()),e}}},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(8),r=e(13);t.is_ref=function(e){if(i.isPlainObject(e)){const n=r.keys(e);return 1==n.length&&\"id\"==n[0]}return!1}},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),s=e(15),i=e(19),r=a.__importStar(e(20)),l=e(24),o=e(9),c=e(12),_=e(22),u=e(8),d=e(27);function p(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function S(e){return u.isPlainObject(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}n.isSpec=S;class m{constructor(e,t,n,a,i,r={}){var l,o;let c;if(this.obj=e,this.attr=t,this.kind=n,this.default_value=a,this._dirty=!1,this.change=new s.Signal0(this.obj,\"change\"),this.internal=null!==(l=r.internal)&&void 0!==l&&l,this.optional=null!==(o=r.optional)&&void 0!==o&&o,void 0!==i)c=i,this._dirty=!0;else{const t=this._default_override();c=void 0!==t?t:void 0!==a?a(e):null}this._update(c)}get is_value(){return void 0!==this.spec.value}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){null!=e&&this.validate(e),this.spec={value:e}}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${p(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj.type}.${this.attr} given invalid value: ${p(e)}`)}valid(e){return this.kind.valid(e)}value(e=!0){if(!this.is_value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=m,m.__name__=\"Property\";class h extends m{}n.PrimitiveProperty=h,h.__name__=\"PrimitiveProperty\";class v extends m{}n.Any=v,v.__name__=\"Any\";class g extends m{valid(e){return u.isArray(e)||e instanceof Float32Array||e instanceof Float64Array}}n.Array=g,g.__name__=\"Array\";class x extends m{valid(e){return u.isBoolean(e)}}n.Boolean=x,x.__name__=\"Boolean\";class y extends m{valid(e){return u.isString(e)&&_.is_color(e)}}n.Color=y,y.__name__=\"Color\";class f extends m{}n.Instance=f,f.__name__=\"Instance\";class A extends m{valid(e){return u.isNumber(e)}}n.Number=A,A.__name__=\"Number\";class P extends A{valid(e){return u.isNumber(e)&&(0|e)==e}}n.Int=P,P.__name__=\"Int\";class C extends A{}n.Angle=C,C.__name__=\"Angle\";class b extends A{valid(e){return u.isNumber(e)&&0<=e&&e<=1}}n.Percent=b,b.__name__=\"Percent\";class L extends m{valid(e){return u.isString(e)}}n.String=L,L.__name__=\"String\";class N extends m{valid(e){return null===e||u.isString(e)}}n.NullString=N,N.__name__=\"NullString\";class T extends L{}n.FontSize=T,T.__name__=\"FontSize\";class q extends L{_default_override(){return d.settings.dev?\"Bokeh\":void 0}}n.Font=q,q.__name__=\"Font\";class B extends m{valid(e){return u.isString(e)&&o.includes(this.enum_values,e)}}function M(e){return class extends B{get enum_values(){return[...e]}}}n.EnumProperty=B,B.__name__=\"EnumProperty\",n.Enum=M;class w extends B{get enum_values(){return[...r.Direction]}normalize(e){const t=new Uint8Array(e.length);for(let n=0;n<e.length;n++)switch(e[n]){case\"clock\":t[n]=0;break;case\"anticlock\":t[n]=1}return t}}n.Direction=w,w.__name__=\"Direction\",n.Anchor=M(r.Anchor),n.AngleUnits=M(r.AngleUnits),n.BoxOrigin=M(r.BoxOrigin),n.ButtonType=M(r.ButtonType),n.CalendarPosition=M(r.CalendarPosition),n.Dimension=M(r.Dimension),n.Dimensions=M(r.Dimensions),n.Distribution=M(r.Distribution),n.FontStyle=M(r.FontStyle),n.HatchPatternType=M(r.HatchPatternType),n.HTTPMethod=M(r.HTTPMethod),n.HexTileOrientation=M(r.HexTileOrientation),n.HoverMode=M(r.HoverMode),n.LatLon=M(r.LatLon),n.LegendClickPolicy=M(r.LegendClickPolicy),n.LegendLocation=M(r.LegendLocation),n.LineCap=M(r.LineCap),n.LineJoin=M(r.LineJoin),n.LinePolicy=M(r.LinePolicy),n.Location=M(r.Location),n.Logo=M(r.Logo),n.MarkerType=M(r.MarkerType),n.MutedPolicy=M(r.MutedPolicy),n.Orientation=M(r.Orientation),n.OutputBackend=M(r.OutputBackend),n.PaddingUnits=M(r.PaddingUnits),n.Place=M(r.Place),n.PointPolicy=M(r.PointPolicy),n.RadiusDimension=M(r.RadiusDimension),n.RenderLevel=M(r.RenderLevel),n.RenderMode=M(r.RenderMode),n.ResetPolicy=M(r.ResetPolicy),n.RoundingFunction=M(r.RoundingFunction),n.Side=M(r.Side),n.SizingMode=M(r.SizingMode),n.Sort=M(r.Sort),n.SpatialUnits=M(r.SpatialUnits),n.StartEnd=M(r.StartEnd),n.StepMode=M(r.StepMode),n.TapBehavior=M(r.TapBehavior),n.TextAlign=M(r.TextAlign),n.TextBaseline=M(r.TextBaseline),n.TextureRepetition=M(r.TextureRepetition),n.TickLabelOrientation=M(r.TickLabelOrientation),n.TooltipAttachment=M(r.TooltipAttachment),n.UpdateMode=M(r.UpdateMode),n.VerticalAlign=M(r.VerticalAlign);class D extends m{get_value(){return null===this.spec.value?null:this.spec}_update(e){S(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}}n.ScalarSpec=D,D.__name__=\"ScalarSpec\";class k extends D{}n.AnyScalar=k,k.__name__=\"AnyScalar\";class F extends D{}n.ColorScalar=F,F.__name__=\"ColorScalar\";class U extends D{}n.NumberScalar=U,U.__name__=\"NumberScalar\";class z extends D{}n.StringScalar=z,z.__name__=\"StringScalar\";class O extends D{}n.NullStringScalar=O,O.__name__=\"NullStringScalar\";class R extends D{}n.ArrayScalar=R,R.__name__=\"ArrayScalar\";class $ extends D{}n.LineJoinScalar=$,$.__name__=\"LineJoinScalar\";class E extends D{}n.LineCapScalar=E,E.__name__=\"LineCapScalar\";class H extends D{}n.FontSizeScalar=H,H.__name__=\"FontSizeScalar\";class j extends D{}n.FontStyleScalar=j,j.__name__=\"FontStyleScalar\";class X extends D{}n.TextAlignScalar=X,X.__name__=\"TextAlignScalar\";class Y extends D{}n.TextBaselineScalar=Y,Y.__name__=\"TextBaselineScalar\";class I extends m{get_value(){return null===this.spec.value?null:this.spec}_update(e){S(e)?this.spec=e:this.spec={value:e},null!=this.spec.value&&this.validate(this.spec.value)}array(e){var t;let n;const a=null!==(t=e.get_length())&&void 0!==t?t:1;if(null!=this.spec.field){const t=e.get_column(this.spec.field);if(null!=t)n=this.normalize(t);else{i.logger.warn(`attempted to retrieve property array for nonexistent field '${this.spec.field}'`);const e=new l.NumberArray(a);e.fill(NaN),n=e}}else if(null!=this.spec.expr)n=this.normalize(this.spec.expr.v_compute(e));else{const e=this.value(!1);if(u.isNumber(e)){const t=new l.NumberArray(a);t.fill(e),n=t}else n=o.repeat(e,a)}return null!=this.spec.transform&&(n=this.spec.transform.v_compute(n)),n}}n.VectorSpec=I,I.__name__=\"VectorSpec\";class J extends I{}n.DataSpec=J,J.__name__=\"DataSpec\";class V extends I{_update(e){super._update(e),null==this.spec.units&&(this.spec.units=this.default_units);const t=this.spec.units;if(!o.includes(this.valid_units,t))throw new Error(`units must be one of ${this.valid_units.join(\", \")}; got: ${t}`)}get units(){return this.spec.units}set units(e){this.spec.units=e}}n.UnitsSpec=V,V.__name__=\"UnitsSpec\";class G extends V{array(e){return new l.NumberArray(super.array(e))}}n.NumberUnitsSpec=G,G.__name__=\"NumberUnitsSpec\";class K extends J{}n.BaseCoordinateSpec=K,K.__name__=\"BaseCoordinateSpec\";class Q extends K{}n.CoordinateSpec=Q,Q.__name__=\"CoordinateSpec\";class W extends K{}n.CoordinateSeqSpec=W,W.__name__=\"CoordinateSeqSpec\";class Z extends K{}n.CoordinateSeqSeqSeqSpec=Z,Z.__name__=\"CoordinateSeqSeqSeqSpec\";class ee extends Q{constructor(){super(...arguments),this.dimension=\"x\"}}n.XCoordinateSpec=ee,ee.__name__=\"XCoordinateSpec\";class te extends Q{constructor(){super(...arguments),this.dimension=\"y\"}}n.YCoordinateSpec=te,te.__name__=\"YCoordinateSpec\";class ne extends W{constructor(){super(...arguments),this.dimension=\"x\"}}n.XCoordinateSeqSpec=ne,ne.__name__=\"XCoordinateSeqSpec\";class ae extends W{constructor(){super(...arguments),this.dimension=\"y\"}}n.YCoordinateSeqSpec=ae,ae.__name__=\"YCoordinateSeqSpec\";class se extends Z{constructor(){super(...arguments),this.dimension=\"x\"}}n.XCoordinateSeqSeqSeqSpec=se,se.__name__=\"XCoordinateSeqSeqSeqSpec\";class ie extends Z{constructor(){super(...arguments),this.dimension=\"y\"}}n.YCoordinateSeqSeqSeqSpec=ie,ie.__name__=\"YCoordinateSeqSeqSeqSpec\";class re extends G{get default_units(){return\"rad\"}get valid_units(){return[...r.AngleUnits]}normalize(e){return\"deg\"==this.spec.units&&(e=c.map(e,e=>e*Math.PI/180)),e=c.map(e,e=>-e),super.normalize(e)}}n.AngleSpec=re,re.__name__=\"AngleSpec\";class le extends G{get default_units(){return\"data\"}get valid_units(){return[...r.SpatialUnits]}}n.DistanceSpec=le,le.__name__=\"DistanceSpec\";class oe extends J{array(e){return new Uint8Array(super.array(e))}}n.BooleanSpec=oe,oe.__name__=\"BooleanSpec\";class ce extends J{array(e){return new l.NumberArray(super.array(e))}}n.NumberSpec=ce,ce.__name__=\"NumberSpec\";class _e extends J{array(e){const t=super.array(e),n=t.length,a=new l.ColorArray(n);for(let e=0;e<n;e++){const n=t[e];if(u.isNumber(n))a[e]=n;else{const t=_.color2rgba(n);a[e]=_.encode_rgba(t)}}return a}}n.ColorSpec=_e,_e.__name__=\"ColorSpec\";class ue extends J{}n.FontSizeSpec=ue,ue.__name__=\"FontSizeSpec\";class de extends J{}n.MarkerSpec=de,de.__name__=\"MarkerSpec\";class pe extends J{}n.StringSpec=pe,pe.__name__=\"StringSpec\";class Se extends J{}n.NullStringSpec=Se,Se.__name__=\"NullStringSpec\";class me extends J{}n.NDArraySpec=me,me.__name__=\"NDArraySpec\"},\n",
       "      function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t=e(13),s={};class g{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=g,g.__name__=\"LogLevel\";class r{constructor(e,l=r.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(r.log_levels)}static get(e,l=r.INFO){if(e.length>0){let o=s[e];return null==o&&(s[e]=o=new r(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof g)this._log_level=e;else{if(!n.isString(e)||null==r.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=r.log_levels[e]}const l=`[${this._name}]`;for(const[e,o]of t.entries(r.log_levels))o.level<this._log_level.level||this._log_level.level===r.OFF.level?this[e]=function(){}:this[e]=i(e,l)}trace(...e){}debug(...e){}info(...e){}warn(...e){}error(...e){}}function i(e,l){return null!=console[e]?console[e].bind(console,l):null!=console.log?console.log.bind(console,l):function(){}}function _(e){const l=o.logger.level;return n.isString(e)&&null==r.log_levels[e]?(console.log(`[bokeh] unrecognized logging level '${e}' passed to Bokeh.set_log_level(), ignoring`),console.log(\"[bokeh] valid log levels are: \"+r.levels.join(\", \"))):(console.log(`[bokeh] setting log level to: '${n.isString(e)?e:e.level}'`),o.logger.set_level(e)),l}o.Logger=r,r.__name__=\"Logger\",r.TRACE=new g(\"trace\",0),r.DEBUG=new g(\"debug\",1),r.INFO=new g(\"info\",2),r.WARN=new g(\"warn\",6),r.ERROR=new g(\"error\",7),r.FATAL=new g(\"fatal\",8),r.OFF=new g(\"off\",9),r.log_levels={trace:r.TRACE,debug:r.DEBUG,info:r.INFO,warn:r.WARN,error:r.ERROR,fatal:r.FATAL,off:r.OFF},o.logger=r.get(\"bokeh\"),o.set_log_level=_,o.with_log_level=function(e,l){const o=_(e);try{l()}finally{_(o)}}},\n",
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       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f<a.length;)if((t=a[f]).toLowerCase().replace(o,\"\")===n)return e[t]}},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=e(1);const d=o.__importDefault(e(49)),r=e(50);function n(e){return.017453292519943295*e}a.default=function(e){var t=d.default(e),a=t.shift(),o=t.shift();t.unshift([\"name\",o]),t.unshift([\"type\",a]);var l={};return r.sExpr(t,l),function(e){if(\"GEOGCS\"===e.type?e.projName=\"longlat\":\"LOCAL_CS\"===e.type?(e.projName=\"identity\",e.local=!0):\"object\"==typeof e.PROJECTION?e.projName=Object.keys(e.PROJECTION)[0]:e.projName=e.PROJECTION,e.AXIS){for(var t=\"\",a=0,o=e.AXIS.length;a<o;++a){var d=e.AXIS[a][0].toLowerCase();-1!==d.indexOf(\"north\")?t+=\"n\":-1!==d.indexOf(\"south\")?t+=\"s\":-1!==d.indexOf(\"east\")?t+=\"e\":-1!==d.indexOf(\"west\")&&(t+=\"w\")}2===t.length&&(t+=\"u\"),3===t.length&&(e.axis=t)}e.UNIT&&(e.units=e.UNIT.name.toLowerCase(),\"metre\"===e.units&&(e.units=\"meter\"),e.UNIT.convert&&(\"GEOGCS\"===e.type?e.DATUM&&e.DATUM.SPHEROID&&(e.to_meter=e.UNIT.convert*e.DATUM.SPHEROID.a):e.to_meter=e.UNIT.convert));var r=e.GEOGCS;function l(t){return t*(e.to_meter||1)}\"GEOGCS\"===e.type&&(r=e),r&&(r.DATUM?e.datumCode=r.DATUM.name.toLowerCase():e.datumCode=r.name.toLowerCase(),\"d_\"===e.datumCode.slice(0,2)&&(e.datumCode=e.datumCode.slice(2)),\"new_zealand_geodetic_datum_1949\"!==e.datumCode&&\"new_zealand_1949\"!==e.datumCode||(e.datumCode=\"nzgd49\"),\"wgs_1984\"!==e.datumCode&&\"world_geodetic_system_1984\"!==e.datumCode||(\"Mercator_Auxiliary_Sphere\"===e.PROJECTION&&(e.sphere=!0),e.datumCode=\"wgs84\"),\"_ferro\"===e.datumCode.slice(-6)&&(e.datumCode=e.datumCode.slice(0,-6)),\"_jakarta\"===e.datumCode.slice(-8)&&(e.datumCode=e.datumCode.slice(0,-8)),~e.datumCode.indexOf(\"belge\")&&(e.datumCode=\"rnb72\"),r.DATUM&&r.DATUM.SPHEROID&&(e.ellps=r.DATUM.SPHEROID.name.replace(\"_19\",\"\").replace(/[Cc]larke\\_18/,\"clrk\"),\"international\"===e.ellps.toLowerCase().slice(0,13)&&(e.ellps=\"intl\"),e.a=r.DATUM.SPHEROID.a,e.rf=parseFloat(r.DATUM.SPHEROID.rf,10)),r.DATUM&&r.DATUM.TOWGS84&&(e.datum_params=r.DATUM.TOWGS84),~e.datumCode.indexOf(\"osgb_1936\")&&(e.datumCode=\"osgb36\"),~e.datumCode.indexOf(\"osni_1952\")&&(e.datumCode=\"osni52\"),(~e.datumCode.indexOf(\"tm65\")||~e.datumCode.indexOf(\"geodetic_datum_of_1965\"))&&(e.datumCode=\"ire65\"),\"ch1903+\"===e.datumCode&&(e.datumCode=\"ch1903\"),~e.datumCode.indexOf(\"israel\")&&(e.datumCode=\"isr93\")),e.b&&!isFinite(e.b)&&(e.b=e.a),[[\"standard_parallel_1\",\"Standard_Parallel_1\"],[\"standard_parallel_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\"],[\"latitude_of_center\",\"Latitude_of_center\"],[\"lat0\",\"latitude_of_center\",n],[\"longitude_of_center\",\"Longitude_Of_Center\"],[\"longitude_of_center\",\"Longitude_of_center\"],[\"longc\",\"longitude_of_center\",n],[\"x0\",\"false_easting\",l],[\"y0\",\"false_northing\",l],[\"long0\",\"central_meridian\",n],[\"lat0\",\"latitude_of_origin\",n],[\"lat0\",\"standard_parallel_1\",n],[\"lat1\",\"standard_parallel_1\",n],[\"lat2\",\"standard_parallel_2\",n],[\"azimuth\",\"Azimuth\"],[\"alpha\",\"azimuth\",n],[\"srsCode\",\"name\"]].forEach((function(t){return a=e,d=(o=t)[0],r=o[1],void(!(d in a)&&r in a&&(a[d]=a[r],3===o.length&&(a[d]=o[2](a[d]))));var a,o,d,r})),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=n(e.lat1>0?90:-90),e.lat_ts=e.lat1)}(l),l}},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(t){return new a(t).output()};var i=/\\s/,s=/[A-Za-z]/,h=/[A-Za-z84]/,o=/[,\\]]/,n=/[\\d\\.E\\-\\+]/;function a(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}a.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;i.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},a.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(o.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},a.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},a.prototype.number=function(t){if(!n.test(t)){if(o.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},a.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},a.prototype.keyword=function(t){if(h.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},a.prototype.neutral=function(t){if(s.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(n.test(t))return this.word=t,void(this.state=3);if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},a.prototype.output=function(){for(;this.place<this.text.length;)this.readCharicter();if(-1===this.state)return this.root;throw new Error('unable to parse string \"'+this.text+'\". State is '+this.state)}},\n",
       "      function _(e,r,a){function s(e,r,a){Array.isArray(r)&&(a.unshift(r),r=null);var s=r?{}:e,n=a.reduce((function(e,r){return c(r,e),e}),s);r&&(e[r]=n)}function c(e,r){if(Array.isArray(e)){var a=e.shift();if(\"PARAMETER\"===a&&(a=e.shift()),1===e.length)return Array.isArray(e[0])?(r[a]={},void c(e[0],r[a])):void(r[a]=e[0]);if(e.length)if(\"TOWGS84\"!==a){if(\"AXIS\"===a)return a in r||(r[a]=[]),void r[a].push(e);var n;switch(Array.isArray(a)||(r[a]={}),a){case\"UNIT\":case\"PRIMEM\":case\"VERT_DATUM\":return r[a]={name:e[0].toLowerCase(),convert:e[1]},void(3===e.length&&c(e[2],r[a]));case\"SPHEROID\":case\"ELLIPSOID\":return r[a]={name:e[0],a:e[1],rf:e[2]},void(4===e.length&&c(e[3],r[a]));case\"PROJECTEDCRS\":case\"PROJCRS\":case\"GEOGCS\":case\"GEOCCS\":case\"PROJCS\":case\"LOCAL_CS\":case\"GEODCRS\":case\"GEODETICCRS\":case\"GEODETICDATUM\":case\"EDATUM\":case\"ENGINEERINGDATUM\":case\"VERT_CS\":case\"VERTCRS\":case\"VERTICALCRS\":case\"COMPD_CS\":case\"COMPOUNDCRS\":case\"ENGINEERINGCRS\":case\"ENGCRS\":case\"FITTED_CS\":case\"LOCAL_DATUM\":case\"DATUM\":return e[0]=[\"name\",e[0]],void s(r,a,e);default:for(n=-1;++n<e.length;)if(!Array.isArray(e[n]))return c(e,r[a]);return s(r,a,e)}}else r[a]=e;else r[a]=!0}else r[e]=!0}Object.defineProperty(a,\"__esModule\",{value:!0}),a.sExpr=c},\n",
       "      function _(e,n,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(e,n){var r,t;if(e=e||{},!n)return e;for(t in n)void 0!==(r=n[t])&&(e[t]=r);return e}},\n",
       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(1),n=a.__importDefault(t(53)),r=a.__importDefault(t(59));var u=[n.default,r.default],f={},i=[];function d(t,e){var o=i.length;return t.names?(i[o]=t,t.names.forEach((function(t){f[t.toLowerCase()]=o})),this):(console.log(e),!0)}function c(t){if(!t)return!1;var e=t.toLowerCase();return void 0!==f[e]&&i[f[e]]?i[f[e]]:void 0}function l(){u.forEach(d)}o.add=d,o.get=c,o.start=l,o.default={start:l,add:d,get:c}},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const h=t(1),a=h.__importDefault(t(54)),e=h.__importDefault(t(55)),r=h.__importDefault(t(57)),n=h.__importDefault(t(58)),l=t(44);function u(){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=a.default(this.e,Math.sin(this.lat_ts),Math.cos(this.lat_ts)):this.k0||(this.k?this.k0=this.k:this.k0=1)}function o(t){var i,s,h=t.x,a=t.y;if(a*l.R2D>90&&a*l.R2D<-90&&h*l.R2D>180&&h*l.R2D<-180)return null;if(Math.abs(Math.abs(a)-l.HALF_PI)<=l.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(l.FORTPI+.5*a));else{var n=Math.sin(a),u=r.default(this.e,a,n);i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0-this.a*this.k0*Math.log(u)}return t.x=i,t.y=s,t}function f(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=l.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var r=Math.exp(-a/(this.a*this.k0));if(-9999===(s=n.default(this.e,r)))return null}return i=e.default(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=u,s.forward=o,s.inverse=f,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:u,forward:o,inverse:f,names:s.names}},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e,t,n){var r=e*t;return n/Math.sqrt(1-r*r)}},\n",
       "      function _(e,t,u){Object.defineProperty(u,\"__esModule\",{value:!0});const n=e(1),a=e(44),f=n.__importDefault(e(56));u.default=function(e){return Math.abs(e)<=a.SPI?e:e-f.default(e)*a.TWO_PI}},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){return e<0?-1:1}},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(44);n.default=function(t,e,n){var o=t*n,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(a.HALF_PI-e))/o}},\n",
       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(44);e.default=function(t,a){for(var e,r,o=.5*t,u=n.HALF_PI-2*Math.atan(a),f=0;f<=15;f++)if(e=t*Math.sin(u),u+=r=n.HALF_PI-2*Math.atan(a*Math.pow((1-e)/(1+e),o))-u,Math.abs(r)<=1e-10)return u;return-9999}},\n",
       "      function _(e,n,i){function t(){}function r(e){return e}Object.defineProperty(i,\"__esModule\",{value:!0}),i.init=t,i.forward=r,i.inverse=r,i.names=[\"longlat\",\"identity\"],i.default={init:t,forward:r,inverse:r,names:i.names}},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),n=e(44),f=a.__importStar(e(61)),u=a.__importDefault(e(47));r.eccentricity=function(e,t,r,a){var f=e*e,u=t*t,i=(f-u)/f,c=0;return a?(f=(e*=1-i*(n.SIXTH+i*(n.RA4+i*n.RA6)))*e,i=0):c=Math.sqrt(i),{es:i,e:c,ep2:(f-u)/u}},r.sphere=function(e,t,r,a,i){if(!e){var c=u.default(f.default,a);c||(c=f.WGS84),e=c.a,t=c.b,r=c.rf}return r&&!t&&(t=(1-1/r)*e),(0===r||Math.abs(e-t)<n.EPSLN)&&(i=!0,t=e),{a:e,b:t,rf:r,sphere:i}}},\n",
       "      function _(e,a,l){Object.defineProperty(l,\"__esModule\",{value:!0});var s={};l.default=s,s.MERIT={a:6378137,rf:298.257,ellipseName:\"MERIT 1983\"},s.SGS85={a:6378136,rf:298.257,ellipseName:\"Soviet Geodetic System 85\"},s.GRS80={a:6378137,rf:298.257222101,ellipseName:\"GRS 1980(IUGG, 1980)\"},s.IAU76={a:6378140,rf:298.257,ellipseName:\"IAU 1976\"},s.airy={a:6377563.396,b:6356256.91,ellipseName:\"Airy 1830\"},s.APL4={a:6378137,rf:298.25,ellipseName:\"Appl. Physics. 1965\"},s.NWL9D={a:6378145,rf:298.25,ellipseName:\"Naval Weapons Lab., 1965\"},s.mod_airy={a:6377340.189,b:6356034.446,ellipseName:\"Modified Airy\"},s.andrae={a:6377104.43,rf:300,ellipseName:\"Andrae 1876 (Den., Iclnd.)\"},s.aust_SA={a:6378160,rf:298.25,ellipseName:\"Australian Natl & S. Amer. 1969\"},s.GRS67={a:6378160,rf:298.247167427,ellipseName:\"GRS 67(IUGG 1967)\"},s.bessel={a:6377397.155,rf:299.1528128,ellipseName:\"Bessel 1841\"},s.bess_nam={a:6377483.865,rf:299.1528128,ellipseName:\"Bessel 1841 (Namibia)\"},s.clrk66={a:6378206.4,b:6356583.8,ellipseName:\"Clarke 1866\"},s.clrk80={a:6378249.145,rf:293.4663,ellipseName:\"Clarke 1880 mod.\"},s.clrk58={a:6378293.645208759,rf:294.2606763692654,ellipseName:\"Clarke 1858\"},s.CPM={a:6375738.7,rf:334.29,ellipseName:\"Comm. des Poids et Mesures 1799\"},s.delmbr={a:6376428,rf:311.5,ellipseName:\"Delambre 1810 (Belgium)\"},s.engelis={a:6378136.05,rf:298.2566,ellipseName:\"Engelis 1985\"},s.evrst30={a:6377276.345,rf:300.8017,ellipseName:\"Everest 1830\"},s.evrst48={a:6377304.063,rf:300.8017,ellipseName:\"Everest 1948\"},s.evrst56={a:6377301.243,rf:300.8017,ellipseName:\"Everest 1956\"},s.evrst69={a:6377295.664,rf:300.8017,ellipseName:\"Everest 1969\"},s.evrstSS={a:6377298.556,rf:300.8017,ellipseName:\"Everest (Sabah & Sarawak)\"},s.fschr60={a:6378166,rf:298.3,ellipseName:\"Fischer (Mercury Datum) 1960\"},s.fschr60m={a:6378155,rf:298.3,ellipseName:\"Fischer 1960\"},s.fschr68={a:6378150,rf:298.3,ellipseName:\"Fischer 1968\"},s.helmert={a:6378200,rf:298.3,ellipseName:\"Helmert 1906\"},s.hough={a:6378270,rf:297,ellipseName:\"Hough\"},s.intl={a:6378388,rf:297,ellipseName:\"International 1909 (Hayford)\"},s.kaula={a:6378163,rf:298.24,ellipseName:\"Kaula 1961\"},s.lerch={a:6378139,rf:298.257,ellipseName:\"Lerch 1979\"},s.mprts={a:6397300,rf:191,ellipseName:\"Maupertius 1738\"},s.new_intl={a:6378157.5,b:6356772.2,ellipseName:\"New International 1967\"},s.plessis={a:6376523,rf:6355863,ellipseName:\"Plessis 1817 (France)\"},s.krass={a:6378245,rf:298.3,ellipseName:\"Krassovsky, 1942\"},s.SEasia={a:6378155,b:6356773.3205,ellipseName:\"Southeast Asia\"},s.walbeck={a:6376896,b:6355834.8467,ellipseName:\"Walbeck\"},s.WGS60={a:6378165,rf:298.3,ellipseName:\"WGS 60\"},s.WGS66={a:6378145,rf:298.25,ellipseName:\"WGS 66\"},s.WGS7={a:6378135,rf:298.26,ellipseName:\"WGS 72\"},l.WGS84=s.WGS84={a:6378137,rf:298.257223563,ellipseName:\"WGS 84\"},s.sphere={a:6370997,b:6370997,ellipseName:\"Normal Sphere (r=6370997)\"}},\n",
       "      function _(e,a,s){Object.defineProperty(s,\"__esModule\",{value:!0});var t={};s.default=t,t.wgs84={towgs84:\"0,0,0\",ellipse:\"WGS84\",datumName:\"WGS84\"},t.ch1903={towgs84:\"674.374,15.056,405.346\",ellipse:\"bessel\",datumName:\"swiss\"},t.ggrs87={towgs84:\"-199.87,74.79,246.62\",ellipse:\"GRS80\",datumName:\"Greek_Geodetic_Reference_System_1987\"},t.nad83={towgs84:\"0,0,0\",ellipse:\"GRS80\",datumName:\"North_American_Datum_1983\"},t.nad27={nadgrids:\"@conus,@alaska,@ntv2_0.gsb,@ntv1_can.dat\",ellipse:\"clrk66\",datumName:\"North_American_Datum_1927\"},t.potsdam={towgs84:\"606.0,23.0,413.0\",ellipse:\"bessel\",datumName:\"Potsdam Rauenberg 1950 DHDN\"},t.carthage={towgs84:\"-263.0,6.0,431.0\",ellipse:\"clark80\",datumName:\"Carthage 1934 Tunisia\"},t.hermannskogel={towgs84:\"653.0,-212.0,449.0\",ellipse:\"bessel\",datumName:\"Hermannskogel\"},t.osni52={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"airy\",datumName:\"Irish National\"},t.ire65={towgs84:\"482.530,-130.596,564.557,-1.042,-0.214,-0.631,8.15\",ellipse:\"mod_airy\",datumName:\"Ireland 1965\"},t.rassadiran={towgs84:\"-133.63,-157.5,-158.62\",ellipse:\"intl\",datumName:\"Rassadiran\"},t.nzgd49={towgs84:\"59.47,-5.04,187.44,0.47,-0.1,1.024,-4.5993\",ellipse:\"intl\",datumName:\"New Zealand Geodetic Datum 1949\"},t.osgb36={towgs84:\"446.448,-125.157,542.060,0.1502,0.2470,0.8421,-20.4894\",ellipse:\"airy\",datumName:\"Airy 1830\"},t.s_jtsk={towgs84:\"589,76,480\",ellipse:\"bessel\",datumName:\"S-JTSK (Ferro)\"},t.beduaram={towgs84:\"-106,-87,188\",ellipse:\"clrk80\",datumName:\"Beduaram\"},t.gunung_segara={towgs84:\"-403,684,41\",ellipse:\"bessel\",datumName:\"Gunung Segara Jakarta\"},t.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,_){Object.defineProperty(_,\"__esModule\",{value:!0});const t=a(44);_.default=function(a,m,_,u,d,p){var r={};return r.datum_type=void 0===a||\"none\"===a?t.PJD_NODATUM:t.PJD_WGS84,m&&(r.datum_params=m.map(parseFloat),0===r.datum_params[0]&&0===r.datum_params[1]&&0===r.datum_params[2]||(r.datum_type=t.PJD_3PARAM),r.datum_params.length>3&&(0===r.datum_params[3]&&0===r.datum_params[4]&&0===r.datum_params[5]&&0===r.datum_params[6]||(r.datum_type=t.PJD_7PARAM,r.datum_params[3]*=t.SEC_TO_RAD,r.datum_params[4]*=t.SEC_TO_RAD,r.datum_params[5]*=t.SEC_TO_RAD,r.datum_params[6]=r.datum_params[6]/1e6+1))),r.a=_,r.b=u,r.es=d,r.ep2=p,r}},\n",
       "      function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),u=t(44),m=r.__importDefault(t(65)),_=r.__importDefault(t(67)),o=r.__importDefault(t(39)),d=r.__importDefault(t(68)),f=r.__importDefault(t(69));a.default=function t(e,a,r){var n;if(Array.isArray(r)&&(r=d.default(r)),f.default(r),e.datum&&a.datum&&function(t,e){return(t.datum.datum_type===u.PJD_3PARAM||t.datum.datum_type===u.PJD_7PARAM)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===u.PJD_3PARAM||e.datum.datum_type===u.PJD_7PARAM)&&\"WGS84\"!==t.datumCode}(e,a)&&(r=t(e,n=new o.default(\"WGS84\"),r),e=n),\"enu\"!==e.axis&&(r=_.default(e,!1,r)),\"longlat\"===e.projName)r={x:r.x*u.D2R,y:r.y*u.D2R,z:r.z||0};else if(e.to_meter&&(r={x:r.x*e.to_meter,y:r.y*e.to_meter,z:r.z||0}),!(r=e.inverse(r)))return;return e.from_greenwich&&(r.x+=e.from_greenwich),r=m.default(e.datum,a.datum,r),a.from_greenwich&&(r={x:r.x-a.from_greenwich,y:r.y,z:r.z||0}),\"longlat\"===a.projName?r={x:r.x*u.R2D,y:r.y*u.R2D,z:r.z||0}:(r=a.forward(r),a.to_meter&&(r={x:r.x/a.to_meter,y:r.y/a.to_meter,z:r.z||0})),\"enu\"!==a.axis?_.default(a,!0,r):r}},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const u=e(44),o=e(66);function _(e){return e===u.PJD_3PARAM||e===u.PJD_7PARAM}a.default=function(e,t,a){return o.compareDatums(e,t)||e.datum_type===u.PJD_NODATUM||t.datum_type===u.PJD_NODATUM?a:e.es!==t.es||e.a!==t.a||_(e.datum_type)||_(t.datum_type)?(a=o.geodeticToGeocentric(a,e.es,e.a),_(e.datum_type)&&(a=o.geocentricToWgs84(a,e.datum_type,e.datum_params)),_(t.datum_type)&&(a=o.geocentricFromWgs84(a,t.datum_type,t.datum_params)),o.geocentricToGeodetic(a,t.es,t.a,t.b)):a}},\n",
       "      function _(a,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(44);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===e.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==e.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,u,s,_,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-e.HALF_PI&&d>-1.001*e.HALF_PI)d=-e.HALF_PI;else if(d>e.HALF_PI&&d<1.001*e.HALF_PI)d=e.HALF_PI;else{if(d<-e.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>e.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),u=Math.sin(d),_=Math.cos(d),s=u*u,{x:((m=r/Math.sqrt(1-t*s))+i)*_*Math.cos(n),y:(m+i)*_*Math.sin(n),z:(m*(1-t)+i)*u}},r.geocentricToGeodetic=function(a,t,r,m){var u,s,_,n,d,i,p,P,o,y,M,z,c,A,x,f=a.x,h=a.y,I=a.z?a.z:0;if(u=Math.sqrt(f*f+h*h),s=Math.sqrt(f*f+h*h+I*I),u/r<1e-12){if(A=0,s/r<1e-12)return e.HALF_PI,x=-m,{x:a.x,y:a.y,z:a.z}}else A=Math.atan2(h,f);_=I/s,P=(n=u/s)*(1-t)*(d=1/Math.sqrt(1-t*(2-t)*n*n)),o=_*d,c=0;do{c++,i=t*(p=r/Math.sqrt(1-t*o*o))/(p+(x=u*P+I*o-p*(1-t*o*o))),z=(M=_*(d=1/Math.sqrt(1-i*(2-i)*n*n)))*P-(y=n*(1-i)*d)*o,P=y,o=M}while(z*z>1e-24&&c<30);return{x:A,y:Math.atan(M/Math.abs(y)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=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-_*a.z)+u,z:i*(-n*a.x+_*a.y+a.z)+s}}},r.geocentricFromWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-u)/i,o=(a.z-s)/i;return{x:p+d*P-n*o,y:-d*p+P+_*o,z:n*p-_*P+o}}}},\n",
       "      function _(e,a,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.default=function(e,a,i){var s,n,r,c=i.x,d=i.y,u=i.z||0,f={};for(r=0;r<3;r++)if(!a||2!==r||void 0!==i.z)switch(0===r?(s=c,n=-1!==\"ew\".indexOf(e.axis[r])?\"x\":\"y\"):1===r?(s=d,n=-1!==\"ns\".indexOf(e.axis[r])?\"y\":\"x\"):(s=u,n=\"z\"),e.axis[r]){case\"e\":case\"w\":case\"n\":case\"s\":f[n]=s;break;case\"u\":void 0!==i[n]&&(f.z=s);break;case\"d\":void 0!==i[n]&&(f.z=-s);break;default:return null}return f}},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){var n={x:e[0],y:e[1]};return e.length>2&&(n.z=e[2]),e.length>3&&(n.m=e[3]),n}},\n",
       "      function _(e,i,n){function t(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e){t(e.x),t(e.y)}},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(71),s=n.__importStar(e(74)),_=n.__importStar(e(18)),a=e(81),o=e(82);class l extends r.View{get coordinates(){return this._coordinates}initialize(){super.initialize(),this.visuals=new s.Visuals(this.model),this.needs_webgl_blit=!1,this._initialize_coordinates()}connect_signals(){super.connect_signals();const{x_range_name:e,y_range_name:i}=this.model.properties;this.on_change([e,i],()=>this._initialize_coordinates())}_initialize_coordinates(){const{x_range_name:e,y_range_name:i}=this.model,{frame:t}=this.plot_view,n=t.x_scales.get(e),r=t.y_scales.get(i);this._coordinates=new o.CoordinateTransform(n,r)}get plot_view(){return this.parent}get plot_model(){return this.parent.model}get layer(){const{overlays:e,primary:i}=this.plot_view.canvas_view;return\"overlay\"==this.model.level?e:i}request_render(){this.plot_view.request_render()}notify_finished(){this.plot_view.notify_finished()}get needs_clip(){return!1}get has_webgl(){return!1}render(){this.model.visible&&this._render(),this._has_finished=!0}}t.RendererView=l,l.__name__=\"RendererView\";class d extends a.Model{constructor(e){super(e)}static init_Renderer(){this.define({level:[_.RenderLevel],visible:[_.Boolean,!0],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}t.Renderer=d,d.__name__=\"Renderer\",d.init_Renderer()},\n",
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       "      function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.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: 13px;\\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\"},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),l=s.__importStar(e(28)),c=s.__importStar(e(18)),i=e(22),o=e(8),r=e(75),h=e(77);function n(e,t){const[a,s,l,c]=o.isString(e)?i.color2rgba(e):i.decode_rgba(e);return`rgba(${255*a}, ${255*s}, ${255*l}, ${1==c?t:c})`}function _(e,t,a){e.moveTo(0,a+.5),e.lineTo(t,a+.5),e.stroke()}function u(e,t,a){e.moveTo(a+.5,0),e.lineTo(a+.5,t),e.stroke()}function v(e,t){e.moveTo(0,t),e.lineTo(t,0),e.stroke(),e.moveTo(0,0),e.lineTo(t,t),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"};class p{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e,t){for(const a of this.attrs){const s=this.obj.properties[this.prefix+a];if(void 0!==s.spec.value)this.cache[a]=s.spec.value;else{if(!(null!=e&&s instanceof c.VectorSpec))throw new Error(\"source is required with a vectorized visual property\");{const l=s.array(e),c=null!=t?t.select(l):l;this.cache[a+\"_array\"]=c}}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}get_array(e){return this.cache[e+\"_array\"]}set_vectorize(e,t){this._set_vectorize(e,t)}}a.ContextProperties=p,p.__name__=\"ContextProperties\";class f extends p{set_value(e){const t=this.line_color.value(),a=this.line_alpha.value();e.strokeStyle=n(t,a),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.lineDash=this.line_dash.value(),e.lineDashOffset=this.line_dash_offset.value()}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){const a=this.cache_select(\"line_color\",t),s=this.cache_select(\"line_alpha\",t),l=this.cache_select(\"line_width\",t),c=this.cache_select(\"line_join\",t),i=this.cache_select(\"line_cap\",t),o=this.cache_select(\"line_dash\",t),r=this.cache_select(\"line_dash_offset\",t);e.strokeStyle=n(a,s),e.lineWidth=l,e.lineJoin=c,e.lineCap=i,e.lineDash=o,e.lineDashOffset=r}color_value(){return n(this.line_color.value(),this.line_alpha.value())}}a.Line=f,f.__name__=\"Line\",f.prototype.attrs=Object.keys(l.LineVector);class d extends p{set_value(e){const t=this.fill_color.value(),a=this.fill_alpha.value();e.fillStyle=n(t,a)}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){const a=this.cache_select(\"fill_color\",t),s=this.cache_select(\"fill_alpha\",t);e.fillStyle=n(a,s)}color_value(){return n(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=d,d.__name__=\"Fill\",d.prototype.attrs=Object.keys(l.FillVector);class k extends p{cache_select(e,t){let s;if(\"pattern\"==e){const e=this.cache_select(\"hatch_color\",t),s=this.cache_select(\"hatch_alpha\",t),l=this.cache_select(\"hatch_scale\",t),c=this.cache_select(\"hatch_pattern\",t),i=this.cache_select(\"hatch_weight\",t),{hatch_extra:o}=this.cache;if(null!=o&&o.hasOwnProperty(c)){const t=o[c];this.cache.pattern=t.get_pattern(e,s,l,i)}else this.cache.pattern=t=>{const o=t instanceof r.SVGRenderingContext2D?\"svg\":\"canvas\",p=new h.CanvasLayer(o,!0);return p.resize(l,l),p.prepare(),function(e,t,s,l,c,i){var o;const r=c,h=r/2,p=h/2;switch(e.strokeStyle=n(s,l),e.lineCap=\"square\",e.fillStyle=s,e.lineWidth=i,null!==(o=a.hatch_aliases[t])&&void 0!==o?o:t){case\"blank\":break;case\"dot\":e.arc(h,h,h/2,0,2*Math.PI,!0),e.fill();break;case\"ring\":e.arc(h,h,h/2,0,2*Math.PI,!0),e.stroke();break;case\"horizontal_line\":_(e,r,h);break;case\"vertical_line\":u(e,r,h);break;case\"cross\":_(e,r,h),u(e,r,h);break;case\"horizontal_dash\":_(e,h,h);break;case\"vertical_dash\":u(e,h,h);break;case\"spiral\":{const t=r/30;e.moveTo(h,h);for(let a=0;a<360;a++){const s=.1*a,l=h+t*s*Math.cos(s),c=h+t*s*Math.sin(s);e.lineTo(l,c)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-p,r),e.lineTo(p+.5,0),e.stroke(),e.moveTo(p+.5,r),e.lineTo(3*p+.5,0),e.stroke(),e.moveTo(3*p+.5,r),e.lineTo(5*p+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(p+.5,r),e.lineTo(.5-p,0),e.stroke(),e.moveTo(3*p+.5,r),e.lineTo(p+.5,0),e.stroke(),e.moveTo(5*p+.5,r),e.lineTo(3*p+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":v(e,r);break;case\"right_diagonal_dash\":e.moveTo(p+.5,3*p+.5),e.lineTo(3*p+.5,p+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(p+.5,p+.5),e.lineTo(3*p+.5,3*p+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,p),e.lineTo(h,3*p),e.lineTo(r,p),e.stroke();break;case\"vertical_wave\":e.moveTo(p,0),e.lineTo(3*p,h),e.lineTo(p,r),e.stroke();break;case\"criss_cross\":v(e,r),_(e,r,h),u(e,r,h)}}(p.ctx,c,e,s,l,i),t.createPattern(p.canvas,\"repeat\")}}else s=super.cache_select(e,t);return s}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t);null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e)}color_value(){return n(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=k,k.__name__=\"Hatch\",k.prototype.attrs=Object.keys(l.HatchVector);class x extends p{color_value(){return n(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){const t=this.text_color.value(),a=this.text_alpha.value();e.fillStyle=n(t,a),e.font=this.font_value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){const a=this.cache_select(\"text_color\",t),s=this.cache_select(\"text_alpha\",t),l=this.cache_select(\"font\",t),c=this.cache_select(\"text_align\",t),i=this.cache_select(\"text_baseline\",t);e.fillStyle=n(a,s),e.font=l,e.textAlign=c,e.textBaseline=i}}a.Text=x,x.__name__=\"Text\",x.prototype.attrs=Object.keys(l.TextVector);class b{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let l;switch(a){case\"line\":l=f;break;case\"fill\":l=d;break;case\"hatch\":l=k;break;case\"text\":l=x;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new l(e,s)}}warm_cache(e,t){for(const a in this)if(this.hasOwnProperty(a)){const s=this[a];s instanceof p&&s.warm_cache(e,t)}}}a.Visuals=b,b.__name__=\"Visuals\"},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(76),n=t(8),r=t(72);function a(t){if(!t)throw new Error(\"cannot create a random attribute name for an undefined object\");const e=\"ABCDEFGHIJKLMNOPQRSTUVWXTZabcdefghiklmnopqrstuvwxyz\";let i=\"\";do{i=\"\";for(let t=0;t<12;t++)i+=e[Math.floor(Math.random()*e.length)]}while(t[i]);return i}function o(t){const e={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"};return e[t]||e.start}function l(t){const e={alphabetic:\"alphabetic\",hanging:\"hanging\",top:\"text-before-edge\",bottom:\"text-after-edge\",middle:\"central\"};return e[t]||e.alphabetic}const h=function(t,e){const i=new Map,s=t.split(\",\");e=e||10;for(let t=0;t<s.length;t+=2){const n=\"&\"+s[t+1]+\";\",r=parseInt(s[t],e);i.set(n,\"&#\"+r+\";\")}return i.set(\"\\\\xa0\",\"&#160;\"),i}(\"50,nbsp,51,iexcl,52,cent,53,pound,54,curren,55,yen,56,brvbar,57,sect,58,uml,59,copy,5a,ordf,5b,laquo,5c,not,5d,shy,5e,reg,5f,macr,5g,deg,5h,plusmn,5i,sup2,5j,sup3,5k,acute,5l,micro,5m,para,5n,middot,5o,cedil,5p,sup1,5q,ordm,5r,raquo,5s,frac14,5t,frac12,5u,frac34,5v,iquest,60,Agrave,61,Aacute,62,Acirc,63,Atilde,64,Auml,65,Aring,66,AElig,67,Ccedil,68,Egrave,69,Eacute,6a,Ecirc,6b,Euml,6c,Igrave,6d,Iacute,6e,Icirc,6f,Iuml,6g,ETH,6h,Ntilde,6i,Ograve,6j,Oacute,6k,Ocirc,6l,Otilde,6m,Ouml,6n,times,6o,Oslash,6p,Ugrave,6q,Uacute,6r,Ucirc,6s,Uuml,6t,Yacute,6u,THORN,6v,szlig,70,agrave,71,aacute,72,acirc,73,atilde,74,auml,75,aring,76,aelig,77,ccedil,78,egrave,79,eacute,7a,ecirc,7b,euml,7c,igrave,7d,iacute,7e,icirc,7f,iuml,7g,eth,7h,ntilde,7i,ograve,7j,oacute,7k,ocirc,7l,otilde,7m,ouml,7n,divide,7o,oslash,7p,ugrave,7q,uacute,7r,ucirc,7s,uuml,7t,yacute,7u,thorn,7v,yuml,ci,fnof,sh,Alpha,si,Beta,sj,Gamma,sk,Delta,sl,Epsilon,sm,Zeta,sn,Eta,so,Theta,sp,Iota,sq,Kappa,sr,Lambda,ss,Mu,st,Nu,su,Xi,sv,Omicron,t0,Pi,t1,Rho,t3,Sigma,t4,Tau,t5,Upsilon,t6,Phi,t7,Chi,t8,Psi,t9,Omega,th,alpha,ti,beta,tj,gamma,tk,delta,tl,epsilon,tm,zeta,tn,eta,to,theta,tp,iota,tq,kappa,tr,lambda,ts,mu,tt,nu,tu,xi,tv,omicron,u0,pi,u1,rho,u2,sigmaf,u3,sigma,u4,tau,u5,upsilon,u6,phi,u7,chi,u8,psi,u9,omega,uh,thetasym,ui,upsih,um,piv,812,bull,816,hellip,81i,prime,81j,Prime,81u,oline,824,frasl,88o,weierp,88h,image,88s,real,892,trade,89l,alefsym,8cg,larr,8ch,uarr,8ci,rarr,8cj,darr,8ck,harr,8dl,crarr,8eg,lArr,8eh,uArr,8ei,rArr,8ej,dArr,8ek,hArr,8g0,forall,8g2,part,8g3,exist,8g5,empty,8g7,nabla,8g8,isin,8g9,notin,8gb,ni,8gf,prod,8gh,sum,8gi,minus,8gn,lowast,8gq,radic,8gt,prop,8gu,infin,8h0,ang,8h7,and,8h8,or,8h9,cap,8ha,cup,8hb,int,8hk,there4,8hs,sim,8i5,cong,8i8,asymp,8j0,ne,8j1,equiv,8j4,le,8j5,ge,8k2,sub,8k3,sup,8k4,nsub,8k6,sube,8k7,supe,8kl,oplus,8kn,otimes,8l5,perp,8m5,sdot,8o8,lceil,8o9,rceil,8oa,lfloor,8ob,rfloor,8p9,lang,8pa,rang,9ea,loz,9j0,spades,9j3,clubs,9j5,hearts,9j6,diams,ai,OElig,aj,oelig,b0,Scaron,b1,scaron,bo,Yuml,m6,circ,ms,tilde,802,ensp,803,emsp,809,thinsp,80c,zwnj,80d,zwj,80e,lrm,80f,rlm,80j,ndash,80k,mdash,80o,lsquo,80p,rsquo,80q,sbquo,80s,ldquo,80t,rdquo,80u,bdquo,810,dagger,811,Dagger,81g,permil,81p,lsaquo,81q,rsaquo,85c,euro\",32),c={strokeStyle:{svgAttr:\"stroke\",canvas:\"#000000\",svg:\"none\",apply:\"stroke\"},fillStyle:{svgAttr:\"fill\",canvas:\"#000000\",svg:null,apply:\"fill\"},lineCap:{svgAttr:\"stroke-linecap\",canvas:\"butt\",svg:\"butt\",apply:\"stroke\"},lineJoin:{svgAttr:\"stroke-linejoin\",canvas:\"miter\",svg:\"miter\",apply:\"stroke\"},miterLimit:{svgAttr:\"stroke-miterlimit\",canvas:10,svg:4,apply:\"stroke\"},lineWidth:{svgAttr:\"stroke-width\",canvas:1,svg:1,apply:\"stroke\"},globalAlpha:{svgAttr:\"opacity\",canvas:1,svg:1,apply:\"fill stroke\"},font:{canvas:\"10px sans-serif\"},shadowColor:{canvas:\"#000000\"},shadowOffsetX:{canvas:0},shadowOffsetY:{canvas:0},shadowBlur:{canvas:0},textAlign:{canvas:\"start\"},textBaseline:{canvas:\"alphabetic\"},lineDash:{svgAttr:\"stroke-dasharray\",canvas:[],svg:null,apply:\"stroke\"}};class _{constructor(t,e){this.__root=t,this.__ctx=e}addColorStop(t,e){const i=this.__ctx.__createElement(\"stop\");if(i.setAttribute(\"offset\",\"\"+t),-1!==e.indexOf(\"rgba\")){const t=/rgba\\(\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d?\\.?\\d*)\\s*\\)/gi.exec(e),[,s,n,r,a]=t;i.setAttribute(\"stop-color\",`rgb(${s},${n},${r})`),i.setAttribute(\"stop-opacity\",a)}else i.setAttribute(\"stop-color\",e);this.__root.appendChild(i)}}_.__name__=\"CanvasGradient\";class u{constructor(t,e){this.__root=t,this.__ctx=e}}u.__name__=\"CanvasPattern\";class p{constructor(t){var e,i,n;this.__currentPosition=null,this.__currentElementsToStyle=null,this._transform=new s.AffineTransform,this._clip_path=null,this.__document=null!==(e=null==t?void 0:t.document)&&void 0!==e?e:document,(null==t?void 0:t.ctx)?this.__ctx=t.ctx:(this.__canvas=this.__document.createElement(\"canvas\"),this.__ctx=this.__canvas.getContext(\"2d\")),this.__setDefaultStyles(),this.__stack=[],this.__root=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\"),this.__root.setAttribute(\"version\",\"1.1\"),this.__root.setAttribute(\"xmlns\",\"http://www.w3.org/2000/svg\"),this.__root.setAttributeNS(\"http://www.w3.org/2000/xmlns/\",\"xmlns:xlink\",\"http://www.w3.org/1999/xlink\"),this.width=null!==(i=null==t?void 0:t.width)&&void 0!==i?i:500,this.height=null!==(n=null==t?void 0:t.height)&&void 0!==n?n:500,this.__ids={},this.__defs=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"defs\"),this.__root.appendChild(this.__defs)}get canvas(){return this}get width(){return this._width}set width(t){this._width=t,this.__root.setAttribute(\"width\",\"\"+t)}get height(){return this._height}set height(t){this._height=t,this.__root.setAttribute(\"height\",\"\"+t)}__createElement(t,e={},i=!1){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",t);i&&(s.setAttribute(\"fill\",\"none\"),s.setAttribute(\"stroke\",\"none\"));const n=Object.keys(e);for(const t of n)s.setAttribute(t,\"\"+e[t]);return s}__setDefaultStyles(){const t=Object.keys(c),e=this;for(let i=0;i<t.length;i++){const s=t[i];e[s]=c[s].canvas}}__applyStyleState(t){const e=Object.keys(t),i=this;for(let s=0;s<e.length;s++){const n=e[s];i[n]=t[n]}}__getStyleState(){const t=Object.keys(c),e={};for(let i=0;i<t.length;i++){const s=t[i];e[s]=this[s]}return e}__applyStyleToCurrentElement(t){let e=this.__currentElement;const i=this.__currentElementsToStyle;if(null!=i){e.setAttribute(t,\"\"),e=i.element;for(const e of i.children)e.setAttribute(t,\"\")}const s=Object.keys(c);for(let i=0;i<s.length;i++){const r=c[s[i]],a=this[s[i]];if(r.apply)if(a instanceof u){for(const t of[...a.__ctx.__defs.childNodes])if(t instanceof Element){const e=t.getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(t)}const t=a.__root.getAttribute(\"id\");e.setAttribute(r.apply,`url(#${t})`)}else if(a instanceof _){const t=a.__root.getAttribute(\"id\");e.setAttribute(r.apply,`url(#${t})`)}else if(-1!==r.apply.indexOf(t)&&r.svg!==a)if(\"stroke\"!==r.svgAttr&&\"fill\"!==r.svgAttr||!n.isString(a)||-1===a.indexOf(\"rgba\")){let n=r.svgAttr;if(\"globalAlpha\"===s[i]&&(n=t+\"-\"+r.svgAttr,e.getAttribute(n)))continue;e.setAttribute(n,\"\"+a)}else{const t=/rgba\\(\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d+)\\s*,\\s*(\\d?\\.?\\d*)\\s*\\)/gi.exec(a),[,i,s,n,o]=t;e.setAttribute(r.svgAttr,`rgb(${i},${s},${n})`);let l=parseFloat(o);const h=this.globalAlpha;null!=h&&(l*=h),e.setAttribute(r.svgAttr+\"-opacity\",\"\"+l)}}}get_serialized_svg(t=!1){let e=(new XMLSerializer).serializeToString(this.__root);if(/xmlns=\"http:\\/\\/www\\.w3\\.org\\/2000\\/svg\".+xmlns=\"http:\\/\\/www\\.w3\\.org\\/2000\\/svg/gi.test(e)&&(e=e.replace('xmlns=\"http://www.w3.org/2000/svg','xmlns:xlink=\"http://www.w3.org/1999/xlink')),t)for(const[t,i]of h){const s=new RegExp(t,\"gi\");s.test(e)&&(e=e.replace(s,i))}return e}get_svg(){return this.__root}save(){this.__stack.push({transform:this._transform,clip_path:this._clip_path,attributes:this.__getStyleState()}),this._transform=this._transform.clone()}restore(){if(0==this.__stack.length)return;const{transform:t,clip_path:e,attributes:i}=this.__stack.pop();this._transform=t,this._clip_path=e,this.__applyStyleState(i)}_apply_transform(t,e=this._transform){e.is_identity||t.setAttribute(\"transform\",e.toString())}scale(t,e){isFinite(t)&&(null==e||isFinite(e))&&this._transform.scale(t,null!=e?e:t)}rotate(t){isFinite(t)&&this._transform.rotate(t)}translate(t,e){isFinite(t+e)&&this._transform.translate(t,e)}transform(t,e,i,s,n,r){isFinite(t+e+i+s+n+r)&&this._transform.transform(t,e,i,s,n,r)}beginPath(){this.__currentDefaultPath=\"\",this.__currentPosition=null;const t=this.__createElement(\"path\",{},!0);this.__root.appendChild(t),this.__currentElement=t}__applyCurrentDefaultPath(){const t=this.__currentElement;\"path\"===t.nodeName?t.setAttribute(\"d\",this.__currentDefaultPath):console.error(\"Attempted to apply path command to node\",t.nodeName)}__addPathCommand(t,e,i){const s=this.__currentDefaultPath?\" \":\"\";this.__currentDefaultPath+=s+i,this.__currentPosition={x:t,y:e}}get _hasCurrentDefaultPath(){return!!this.__currentDefaultPath}moveTo(t,e){if(!isFinite(t+e))return;\"path\"!==this.__currentElement.nodeName&&this.beginPath();const[i,s]=this._transform.apply(t,e);this.__addPathCommand(i,s,`M ${i} ${s}`)}closePath(){this._hasCurrentDefaultPath&&this.__addPathCommand(NaN,NaN,\"Z\")}lineTo(t,e){if(isFinite(t+e))if(this._hasCurrentDefaultPath){const[i,s]=this._transform.apply(t,e);this.__addPathCommand(i,s,`L ${i} ${s}`)}else this.moveTo(t,e)}bezierCurveTo(t,e,i,s,n,r){if(!isFinite(t+e+i+s+n+r))return;const[a,o]=this._transform.apply(n,r),[l,h]=this._transform.apply(t,e),[c,_]=this._transform.apply(i,s);this.__addPathCommand(a,o,`C ${l} ${h} ${c} ${_} ${a} ${o}`)}quadraticCurveTo(t,e,i,s){if(!isFinite(t+e+i+s))return;const[n,r]=this._transform.apply(i,s),[a,o]=this._transform.apply(t,e);this.__addPathCommand(n,r,`Q ${a} ${o} ${n} ${r}`)}arcTo(t,e,i,s,n){if(!isFinite(t+e+i+s+n))return;if(null==this.__currentPosition)return;const r=this.__currentPosition.x,a=this.__currentPosition.y;if(n<0)throw new Error(\"IndexSizeError: The radius provided (\"+n+\") is negative.\");if(r===t&&a===e||t===i&&e===s||0===n)return void this.lineTo(t,e);function o([t,e]){const i=Math.sqrt(t**2+e**2);return[t/i,e/i]}const l=o([r-t,a-e]),h=o([i-t,s-e]);if(l[0]*h[1]==l[1]*h[0])return void this.lineTo(t,e);const c=l[0]*h[0]+l[1]*h[1],_=Math.acos(Math.abs(c)),u=o([l[0]+h[0],l[1]+h[1]]),p=n/Math.sin(_/2),d=t+p*u[0],m=e+p*u[1],f=[-l[1],l[0]],g=[h[1],-h[0]];function w(t){const e=t[0];return t[1]>=0?Math.acos(e):-Math.acos(e)}const b=w(f),v=w(g);this.lineTo(d+f[0]*n,m+f[1]*n),this.arc(d,m,n,b,v)}stroke(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"fill\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"stroke\"),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}fill(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"stroke\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\"),null!=this._clip_path&&this.__currentElement.setAttribute(\"clip-path\",this._clip_path)}rect(t,e,i,s){isFinite(t+e+i+s)&&(\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.moveTo(t,e),this.lineTo(t+i,e),this.lineTo(t+i,e+s),this.lineTo(t,e+s),this.lineTo(t,e))}fillRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.fill())}strokeRect(t,e,i,s){isFinite(t+e+i+s)&&(this.beginPath(),this.rect(t,e,i,s),this.stroke())}__clearCanvas(){r.empty(this.__defs),r.empty(this.__root),this.__root.appendChild(this.__defs),this.__currentElement=this.__root}clearRect(t,e,i,s){if(!isFinite(t+e+i+s))return;if(0===t&&0===e&&i===this.width&&s===this.height)return void this.__clearCanvas();const n=this.__createElement(\"rect\",{x:t,y:e,width:i,height:s,fill:\"#FFFFFF\"},!0);this._apply_transform(n),this.__root.appendChild(n)}createLinearGradient(t,e,i,s){if(!isFinite(t+e+i+s))throw new Error(\"The provided double value is non-finite\");const[n,r]=this._transform.apply(t,e),[o,l]=this._transform.apply(i,s),h=this.__createElement(\"linearGradient\",{id:a(this.__ids),x1:n+\"px\",x2:o+\"px\",y1:r+\"px\",y2:l+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(h),new _(h,this)}createRadialGradient(t,e,i,s,n,r){if(!isFinite(t+e+i+s+n+r))throw new Error(\"The provided double value is non-finite\");const[o,l]=this._transform.apply(t,e),[h,c]=this._transform.apply(s,n),u=this.__createElement(\"radialGradient\",{id:a(this.__ids),cx:h+\"px\",cy:c+\"px\",r:r+\"px\",fx:o+\"px\",fy:l+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(u),new _(u,this)}__parseFont(){const t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\"};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),null!=this.__fontHref&&(e.href=this.__fontHref),e}__wrapTextLink(t,e){if(t.href){const i=this.__createElement(\"a\");return i.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),i.appendChild(e),i}return e}__applyText(t,e,i,s){const n=this.__parseFont(),r=this.__createElement(\"text\",{\"font-family\":n.family,\"font-size\":n.size,\"font-style\":n.style,\"font-weight\":n.weight,\"text-decoration\":n.decoration,x:e,y:i,\"text-anchor\":o(this.textAlign),\"dominant-baseline\":l(this.textBaseline)},!0);r.appendChild(this.__document.createTextNode(t)),this._apply_transform(r),this.__currentElement=r,this.__applyStyleToCurrentElement(s),this.__root.appendChild(this.__wrapTextLink(n,r))}fillText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"fill\")}strokeText(t,e,i){null!=t&&isFinite(e+i)&&this.__applyText(t,e,i,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,i,s,n,r=!1){if(!isFinite(t+e+i+s+n))return;if(s===n)return;(s%=2*Math.PI)===(n%=2*Math.PI)&&(n=(n+2*Math.PI-.001*(r?-1:1))%(2*Math.PI));const a=t+i*Math.cos(n),o=e+i*Math.sin(n),l=t+i*Math.cos(s),h=e+i*Math.sin(s),c=r?0:1;let _=0,u=n-s;u<0&&(u+=2*Math.PI),_=r?u>Math.PI?0:1:u>Math.PI?1:0,this.lineTo(l,h);const p=i,d=i,[m,f]=this._transform.apply(a,o);this.__addPathCommand(m,f,`A ${p} ${d} 0 ${_} ${c} ${m} ${f}`)}clip(){const t=this.__createElement(\"clipPath\"),e=a(this.__ids);this.__applyCurrentDefaultPath(),t.setAttribute(\"id\",e),t.appendChild(this.__currentElement),this.__defs.appendChild(t),this._clip_path=`url(#${e})`}drawImage(t,...e){let i,s,n,r,a,o,l,h;if(2==e.length){if([i,s]=e,!isFinite(i+s))return;a=0,o=0,l=t.width,h=t.height,n=l,r=h}else if(4==e.length){if([i,s,n,r]=e,!isFinite(i+s+n+r))return;a=0,o=0,l=t.width,h=t.height}else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);if([a,o,l,h,i,s,n,r]=e,!isFinite(a+o+l+h+i+s+n+r))return}const c=this.__root,_=\"translate(\"+i+\", \"+s+\")\",u=this._transform.clone().translate(i,s);if(t instanceof p||t instanceof SVGSVGElement){const e=(t instanceof SVGSVGElement?t:t.get_svg()).cloneNode(!0);let i;u.is_identity?i=c:(i=this.__createElement(\"g\"),this._apply_transform(i,u),c.appendChild(i));for(const t of[...e.childNodes])if(t instanceof SVGDefsElement){for(const e of[...t.childNodes])if(e instanceof Element){const t=e.getAttribute(\"id\");this.__ids[t]=t,this.__defs.appendChild(e)}}else i.appendChild(t)}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+r),e.setAttribute(\"preserveAspectRatio\",\"none\"),a||o||l!==t.width||h!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=r;e.getContext(\"2d\").drawImage(t,a,o,l,h,0,0,n,r),t=e}e.setAttribute(\"transform\",_);const i=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",i),c.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+r),e.setAttribute(\"preserveAspectRatio\",\"none\");const i=this.__document.createElement(\"canvas\");i.width=n,i.height=r;const s=i.getContext(\"2d\");s.imageSmoothingEnabled=!1,s.drawImage(t,a,o,l,h,0,0,n,r),t=i,e.setAttribute(\"transform\",_),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),c.appendChild(e)}}createPattern(t,e){const i=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),s=a(this.__ids);if(i.setAttribute(\"id\",s),i.setAttribute(\"width\",\"\"+this._to_number(t.width)),i.setAttribute(\"height\",\"\"+this._to_number(t.height)),i.setAttribute(\"patternUnits\",\"userSpaceOnUse\"),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),i.appendChild(e),this.__defs.appendChild(i)}else if(t instanceof p){for(const e of[...t.__root.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}else{if(!(t instanceof SVGSVGElement))throw new Error(\"unsupported\");for(const e of[...t.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}return new u(i,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}_to_number(t){return n.isNumber(t)?t:t.baseVal.value}}i.SVGRenderingContext2D=p,p.__name__=\"SVGRenderingContext2D\"},\n",
       "      function _(t,s,r){Object.defineProperty(r,\"__esModule\",{value:!0});const{sin:e,cos:n}=Math;class i{constructor(t=1,s=0,r=0,e=1,n=0,i=0){this.a=t,this.b=s,this.c=r,this.d=e,this.e=n,this.f=i}toString(){const{a:t,b:s,c:r,d:e,e:n,f:i}=this;return`matrix(${t}, ${s}, ${r}, ${e}, ${n}, ${i})`}clone(){const{a:t,b:s,c:r,d:e,e:n,f:a}=this;return new i(t,s,r,e,n,a)}get is_identity(){const{a:t,b:s,c:r,d:e,e:n,f:i}=this;return 1==t&&0==s&&0==r&&1==e&&0==n&&0==i}apply(t,s){const{a:r,b:e,c:n,d:i,e:a,f:h}=this;return[r*t+n*s+a,e*t+i*s+h]}iv_apply(t,s){const{a:r,b:e,c:n,d:i,e:a,f:h}=this,c=t.length;for(let o=0;o<c;o++){const c=t[o],f=s[o];t[o]=r*c+n*f+a,s[o]=e*c+i*f+h}}transform(t,s,r,e,n,i){const{a,b:h,c,d:o,e:f,f:l}=this;return this.a=a*t+c*s,this.c=a*r+c*e,this.e=a*n+c*i+f,this.b=h*t+o*s,this.d=h*r+o*e,this.f=h*n+o*i+l,this}translate(t,s){return this.transform(1,0,0,1,t,s)}scale(t,s){return this.transform(t,0,0,s,0,0)}skew(t,s){return this.transform(1,s,t,1,0,0)}rotate(t){const s=e(t),r=n(t);return this.transform(r,s,-s,r,0,0)}rotate_ccw(t){return this.rotate(-t)}translate_x(t){return this.translate(t,0)}translate_y(t){return this.translate(0,t)}flip(){return this.scale(-1,-1)}flip_x(){return this.scale(1,-1)}flip_y(){return this.scale(-1,1)}}r.AffineTransform=i,i.__name__=\"AffineTransform\"},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(14),n=e(78),l=e(19),o=s.__importStar(e(18)),r=e(72),h=e(13),c=e(79),_=e(80),d=e(75),p=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void l.logger.trace(\"WebGL is not supported\")})(),v={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class b{constructor(e,t){switch(this.backend=e,this.hidpi=t,this.pixel_ratio=1,this.bbox=new c.BBox,e){case\"webgl\":case\"canvas\":{this._el=this._canvas=r.canvas({style:v});const e=this.canvas.getContext(\"2d\");if(null==e)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=e,t&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const e=new d.SVGRenderingContext2D;this._ctx=e,this._canvas=e.get_svg(),this._el=r.div({style:v},this._canvas);break}}_.fixup_ctx(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t});const i=this._ctx instanceof d.SVGRenderingContext2D?this._ctx:this.canvas;i.width=e*this.pixel_ratio,i.height=t*this.pixel_ratio}prepare(){const{ctx:e,hidpi:t,pixel_ratio:i}=this;e.save(),t&&(e.scale(i,i),e.translate(.5,.5)),this.clear()}clear(){const{x:e,y:t,width:i,height:s}=this.bbox;this.ctx.clearRect(e,t,i,s)}finish(){this.ctx.restore()}to_blob(){const{_canvas:e}=this;if(e instanceof HTMLCanvasElement)return null!=e.msToBlob?Promise.resolve(e.msToBlob()):new Promise((t,i)=>{e.toBlob(e=>null!=e?t(e):i(),\"image/png\")});{const e=this._ctx.get_serialized_svg(!0),t=new Blob([e],{type:\"image/svg+xml\"});return Promise.resolve(t)}}}i.CanvasLayer=b,b.__name__=\"CanvasLayer\";class g extends n.DOMView{constructor(){super(...arguments),this.bbox=new c.BBox}initialize(){super.initialize();const{output_backend:e,hidpi:t}=this.model;\"webgl\"==e&&(this.webgl=p),this.underlays_el=r.div({style:v}),this.primary=new b(e,t),this.overlays=new b(e,t),this.overlays_el=r.div({style:v}),this.events_el=r.div({class:\"bk-canvas-events\",style:v});const i=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];h.extend(this.el.style,v),r.append(this.el,...i),l.logger.debug(\"CanvasView initialized\")}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const{gl:a}=t;a.enable(a.SCISSOR_TEST);const[n,l,o,r]=e,{xview:h,yview:c}=this.bbox,_=h.compute(n),d=c.compute(l+r),p=this.pixel_ratio;a.scissor(p*_,p*d,p*o,p*r),a.enable(a.BLEND),a.blendFuncSeparate(a.SRC_ALPHA,a.ONE_MINUS_SRC_ALPHA,a.ONE_MINUS_DST_ALPHA,a.ONE)}}clear_webgl(){const{webgl:e}=this;if(null!=e){const{gl:t,canvas:i}=e;t.viewport(0,0,i.width,i.height),t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT||t.DEPTH_BUFFER_BIT)}}blit_webgl(e){const{webgl:t}=this;if(null!=t&&(l.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi)){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}}compose(){const{output_backend:e,hidpi:t}=this.model,{width:i,height:s}=this.bbox,a=new b(e,t);return a.resize(i,s),a.ctx.drawImage(this.primary.canvas,0,0),a.ctx.drawImage(this.overlays.canvas,0,0),a}to_blob(){return this.compose().to_blob()}}i.CanvasView=g,g.__name__=\"CanvasView\";class x extends a.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=g,this.internal({hidpi:[o.Boolean,!0],output_backend:[o.OutputBackend,\"canvas\"]})}}i.Canvas=x,x.__name__=\"Canvas\",x.init_Canvas()},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(71),r=e(72);class n extends i.View{initialize(){super.initialize(),this.el=this._createElement()}remove(){r.remove(this.el),super.remove()}css_classes(){return[]}render(){}renderTo(e){e.appendChild(this.el),this.render()}_createElement(){return r.createElement(this.tagName,{class:this.css_classes()})}}t.DOMView=n,n.__name__=\"DOMView\",n.prototype.tagName=\"div\"},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const h=t(24),{min:r,max:s}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:r(t.x0,i.x0),x1:s(t.x1,i.x1),y0:r(t.y0,i.y0),y1:s(t.y1,i.y1)}};class n{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}relativize(){const{width:t,height:i}=this;return new n({x:0,y:0,width:t,height:i})}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new n({x0:r(this.x0,t.x0),y0:r(this.y0,t.y0),x1:s(this.x1,t.x1),y1:s(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new h.NumberArray(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new h.NumberArray(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=n,n.__name__=\"BBox\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.fixup_ctx=function(e){!function(e){void 0===e.lineDash&&Object.defineProperty(e,\"lineDash\",{get:()=>e.getLineDash(),set:t=>e.setLineDash(t)})}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.measureText&&null==e.html5MeasureText&&(e.html5MeasureText=e.measureText,e.measureText=t=>{const n=e.html5MeasureText(t);return n.ascent=1.6*e.html5MeasureText(\"m\").width,n})}(e),function(e){e.ellipse||(e.ellipse=function(t,n,o,a,i,l,m,r=!1){const u=.551784;e.translate(t,n),e.rotate(i);let s=o,g=a;r&&(s=-o,g=-a),e.moveTo(-s,0),e.bezierCurveTo(-s,g*u,-s*u,g,0,g),e.bezierCurveTo(s*u,g,s,g*u,s,0),e.bezierCurveTo(s,-g*u,s*u,-g,0,-g),e.bezierCurveTo(-s*u,-g,-s,-g*u,-s,0),e.rotate(-i),e.translate(-t,-n)})}(e)}},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(14),i=n.__importStar(e(18)),a=e(8),r=e(13),o=e(19);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n",
       "      function _(e,s,_){Object.defineProperty(_,\"__esModule\",{value:!0});class t{constructor(e,s){this.x_scale=e,this.y_scale=s,this.x_range=this.x_scale.source_range,this.y_range=this.y_scale.source_range,this.ranges=[this.x_range,this.y_range],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,s){return[this.x_scale.v_compute(e),this.y_scale.v_compute(s)]}map_from_screen(e,s){return[this.x_scale.v_invert(e),this.y_scale.v_invert(s)]}}_.CoordinateTransform=t,t.__name__=\"CoordinateTransform\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(36),o=t(84),r=t(85),n=t(28),_=i.__importStar(t(18)),h=t(10);class c extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=this.coordinates.x_scale.v_compute(this._x_start),s=this.coordinates.y_scale.v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=this.coordinates.x_scale.v_compute(this._x_end),a=this.coordinates.y_scale.v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}_render(){const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:o,height:r}=this.plot_view.frame.bbox;t.rect(i,a,o,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let o=0,r=this._x_start.length;o<r;o++){const r=Math.PI/2+h.atan2([i[0][o],i[1][o]],[a[0][o],a[1][o]]);t.save(),t.translate(a[0][o],a[1][o]),t.rotate(r),\"render\"==e?s.render(t,o):\"clip\"==e&&s.clip(t,o),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=c,c.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=c,this.mixins(n.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new o.OpenHead({})],source:[_.Instance]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n",
       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(36),l=i(74),n=i(28),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n",
       "      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(86),r=s.__importStar(t(18)),i=t(8),l=t(13),a=s.__importStar(t(119)),c=t(120),u=t(121);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function f(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,f,m]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<f;t+=m)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=f;class m extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const[e,o]of l.entries(t))s[e]=h(s[e],o,n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,f(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=m,m.__name__=\"ColumnDataSource\",m.init_ColumnDataSource()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(1),s=t(87),i=t(15),r=t(19),l=t(89),c=a.__importStar(t(18)),o=t(8),u=t(9),h=t(13),g=t(88),_=t(118);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:o.isArray(e)||(this.data[t]=e=Array.from(e)),e}static init_ColumnarDataSource(){this.define({selection_policy:[c.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[c.Instance,t=>new l.SelectionManager({source:t})],inspected:[c.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return h.keys(this.data)}get_length(t=!0){const e=u.uniq(h.values(this.data).map(t=>t.length));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(81),o=e(88),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n",
       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(81),l=t.__importStar(i(18)),c=i(9),h=i(13);class d extends n.Model{constructor(i){super(i)}get_view(){return this.view}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize()}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.view=i.view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.view=null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=d,d.__name__=\"Selection\",d.init_Selection()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(14),o=e(88),c=e(90),r=e(116),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(91),n=e(92),h=e(110),o=e(111),a=e(113),c=e(114),_=e(24),d=s.__importStar(e(18)),r=e(12),p=e(9),g=e(13),u=e(115),y=e(98),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=p.includes(e._mixins,\"fill\"),i=p.includes(e._mixins,\"line\"),s=g.clone(e.attributes);function l(l){const n=g.clone(s);return t&&g.extend(n,l.fill),i&&g.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const c=l(v);this.decimated_glyph=await this.build_glyph_view(c),this.set_data(!1)}async build_glyph_view(e){return u.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.properties.indices.change,()=>this.set_data()),this.connect(this.model.view.properties.masked.change,()=>this.set_visuals()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const[,t]of e)t instanceof y.FactorRange&&this.connect(t.change,()=>this.set_data());for(const[,e]of t)e instanceof y.FactorRange&&this.connect(e.change,()=>this.set_data());this.connect(this.model.glyph.transformchange,()=>this.set_data())}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}set_data(e=!0,t=null){const i=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:s}=this;this.glyph.set_data(i,s,t),this.set_visuals(),this._update_masked_indices();const{lod_factor:l}=this.plot_model,n=this.all_indices.count;this.decimated=new _.Indices(n);for(let e=0;e<n;e+=l)this.decimated.set(e);this.set_data_timestamp=Date.now(),e&&this.request_render()}set_visuals(){var e,t,i,s;const l=this.model.data_source,{all_indices:n}=this;this.glyph.set_visuals(l,n),this.decimated_glyph.set_visuals(l,n),null===(e=this.selection_glyph)||void 0===e||e.set_visuals(l,n),null===(t=this.nonselection_glyph)||void 0===t||t.set_visuals(l,n),null===(i=this.hover_glyph)||void 0===i||i.set_visuals(l,n),null===(s=this.muted_glyph)||void 0===s||s.set_visuals(l,n)}get has_webgl(){return this.glyph.has_webgl}_render(){const e=this.has_webgl;this.glyph.map_data();const t=[...this.all_indices];let i=[...this._update_masked_indices()];const{ctx:s}=this.layer;s.save();const{selected:l}=this.model.data_source;let c;c=!l||l.is_empty()?[]:this.glyph instanceof n.LineView&&l.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(i):l.indices;const{inspected:_}=this.model.data_source,d=new Set((()=>!_||_.is_empty()?[]:_.selected_glyph?this.model.view.convert_indices_from_subset(i):_.indices.length>0?_.indices:Object.keys(_.multiline_indices).map(e=>parseInt(e)))()),g=r.filter(i,e=>d.has(t[e])),{lod_threshold:u}=this.plot_model;let y,m,v;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=u&&t.length>u?(i=[...this.decimated],y=this.decimated_glyph,m=this.decimated_glyph,v=this.selection_glyph):(y=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,m=this.nonselection_glyph,v=this.selection_glyph),null!=this.hover_glyph&&g.length&&(i=p.difference(i,g)),c.length){const e={};for(const t of c)e[t]=!0;const l=new Array,h=new Array;if(this.glyph instanceof n.LineView)for(const i of t)null!=e[i]?l.push(i):h.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):h.push(s);m.render(s,h,this.glyph),v.render(s,l,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(g),this.glyph):this.hover_glyph.render(s,g,this.glyph))}else if(this.glyph instanceof n.LineView)this.hover_glyph&&g.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(g),this.glyph):y.render(s,t,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==_.selected_glyphs.length||null==this.hover_glyph)y.render(s,t,this.glyph);else for(const e of _.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t,this.glyph);else y.render(s,i,this.glyph),this.hover_glyph&&g.length&&this.hover_glyph.render(s,g,this.glyph);s.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[d.Instance],view:[d.Instance,()=>new c.CDSView],glyph:[d.Instance],hover_glyph:[d.Instance],nonselection_glyph:[d.Any,\"auto\"],selection_glyph:[d.Any,\"auto\"],muted_glyph:[d.Instance],muted:[d.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=r.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const a=e(70);class n extends a.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=n,n.__name__=\"DataRendererView\";class s extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.override({level:\"glyph\"})}}t.DataRenderer=s,s.__name__=\"DataRenderer\",s.init_DataRenderer()},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(93),l=e(100),_=e(102),r=s.__importStar(e(28)),o=s.__importStar(e(101)),h=e(88);class a extends n.XYGlyphView{initialize(){super.initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;null!=e&&(this.glglyph=new _.LineGL(e.gl,this))}_render(e,i,{sx:t,sy:s}){let n=!1,l=null;this.visuals.line.set_value(e);for(const _ of i){if(n){if(!isFinite(t[_]+s[_])){e.stroke(),e.beginPath(),n=!1,l=_;continue}null!=l&&_-l>1&&(e.stroke(),n=!1)}n?e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]),n=!0),l=_}n&&e.stroke()}_hit_point(e){const i=new h.Selection,t={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,l=this.sx.length-1;e<l;e++){const l={x:this.sx[e],y:this.sy[e]},_={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(t,l,_);r<n&&r<s&&(s=r,i.add_to_selected_glyphs(this.model),i.view=this,i.line_indices=[e])}return i}_hit_span(e){const{sx:i,sy:t}=e,s=new h.Selection;let n,l;\"v\"==e.direction?(n=this.renderer.yscale.invert(t),l=this._y):(n=this.renderer.xscale.invert(i),l=this._x);for(let e=0,i=l.length-1;e<i;e++)(l[e]<=n&&n<=l[e+1]||l[e+1]<=n&&n<=l[e])&&(s.add_to_selected_glyphs(this.model),s.view=this,s.line_indices.push(e));return s}get_interpolation_hit(e,i){const[t,s,n,_]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return l.line_interpolation(this.renderer,i,t,s,n,_)}draw_legend_for_index(e,i,t){l.generic_line_legend(this.visuals,e,i,t)}}t.LineView=a,a.__name__=\"LineView\";class c extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=a,this.mixins(r.Line)}}t.Line=c,c.__name__=\"Line\",c.init_Line()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(37),n=s.__importStar(e(18)),a=e(94);class d extends a.GlyphView{_project_data(){_.inplace.project_xy(this._x,this._y)}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++){const t=this._x[i],s=this._y[i];isNaN(t+s)||!isFinite(t+s)?e.add_empty():e.add(t,s,t,s)}}scenterxy(e){return[this.sx[e],this.sy[e]]}}i.XYGlyphView=d,d.__name__=\"XYGlyphView\";class p extends a.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.define({x:[n.XCoordinateSpec,{field:\"x\"}],y:[n.YCoordinateSpec,{field:\"y\"}]})}}i.XYGlyph=p,p.__name__=\"XYGlyph\",p.init_XYGlyph()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),n=s.__importStar(t(18)),a=s.__importStar(t(79)),r=s.__importStar(t(74)),_=t(71),l=t(81),o=t(19),h=t(24),d=t(12),c=t(95),u=t(98),p=t(88);class y extends _.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:t}=this;if(null!=t)return t;throw new Error(this+\".index_data() wasn't called\")}get data_size(){const{_data_size:t}=this;if(null!=t)return t;throw new Error(this+\".set_data() wasn't called\")}initialize(){super.initialize(),this.visuals=new r.Visuals(this.model)}set_visuals(t,e){this.visuals.warm_cache(t,e),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,i){t.beginPath(),null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(t,e,i),this.renderer.needs_webgl_blit)||this._render(t,e,i)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:t,x1:e}=this.index.bounds(a.positive_x()),{y0:i,y1:s}=this.index.bounds(a.positive_y());return this._bounds({x0:t,y0:i,x1:e,y1:s})}get_anchor_point(t,e,[i,s]){switch(t){case\"center\":{const[t,n]=this.scenterxy(e,i,s);return{x:t,y:n}}default:return null}}scenterx(t,e,i){return this.scenterxy(t,e,i)[0]}scentery(t,e,i){return this.scenterxy(t,e,i)[1]}sdist(t,e,i,s=\"edge\",n=!1){let a,r;const _=e.length;if(\"center\"==s){const t=d.map(i,t=>t/2);a=new Float64Array(_);for(let i=0;i<_;i++)a[i]=e[i]-t[i];r=new Float64Array(_);for(let i=0;i<_;i++)r[i]=e[i]+t[i]}else{a=e,r=new Float64Array(_);for(let t=0;t<_;t++)r[t]=a[t]+i[t]}const l=t.v_compute(a),o=t.v_compute(r);return n?d.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):d.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,i){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(o.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:i,sy0:s,sy1:n}=t,[a,r]=this.renderer.coordinates.x_scale.r_invert(e,i),[_,l]=this.renderer.coordinates.y_scale.r_invert(s,n),o=[...this.index.indices({x0:a,x1:r,y0:_,y1:l})];return new p.Selection({indices:o})}_project_data(){}set_data(t,e,i){var s,a;const{x_range:r,y_range:_}=this.renderer.coordinates;this._data_size=null!==(s=t.get_length())&&void 0!==s?s:1;for(const i of this.model){if(!(i instanceof n.VectorSpec))continue;if(i.optional&&null==i.spec.value&&!i.dirty)continue;const s=i.attr,a=i.array(t);let l=e.select(a);if(i instanceof n.BaseCoordinateSpec){const t=\"x\"==i.dimension?r:_;if(t instanceof u.FactorRange)if(i instanceof n.CoordinateSpec)l=t.v_synthetic(l);else if(i instanceof n.CoordinateSeqSpec)for(let e=0;e<l.length;e++)l[e]=t.v_synthetic(l[e]);i instanceof n.CoordinateSeqSpec&&(l=h.RaggedArray.from(l))}else i instanceof n.DistanceSpec&&(this[\"max_\"+s]=d.max(l));this[\"_\"+s]=l}this.renderer.plot_view.model.use_map&&this._project_data(),this._set_data(i),null===(a=this.glglyph)||void 0===a||a.set_data_changed(),this.index_data()}_set_data(t){}get _index_size(){return this.data_size}index_data(){const t=new c.SpatialIndex(this._index_size);this._index_data(t),t.finish(),this._index=t}mask_data(){return null!=this.glglyph||null==this._mask_data?h.Indices.all_set(this.data_size):this._mask_data()}map_data(){var t;const e=this,{x_scale:i,y_scale:s}=this.renderer.coordinates;for(const t of this.model)if(t instanceof n.BaseCoordinateSpec){const n=\"x\"==t.dimension?i:s;let a=e[\"_\"+t.attr];if(a instanceof h.RaggedArray){const t=n.v_compute(a.array);a=new h.RaggedArray(a.offsets,t)}else a=n.v_compute(a);this[\"s\"+t.attr]=a}this._map_data(),null===(t=this.glglyph)||void 0===t||t.set_data_changed()}_map_data(){}}i.GlyphView=y,y.__name__=\"GlyphView\";class g extends l.Model{constructor(t){super(t)}static init_Glyph(){}}i.Glyph=g,g.__name__=\"Glyph\",g.init_Glyph()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(96)),s=e(24),o=e(79);function d(e,n){let t=0,i=n.length-1;for(;t<i;){const s=t+i>>1;n[s]>e?i=s:t=s+1}return n[t]}class x extends i.default{search_indices(e,n,t,i){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let o=this._boxes.length-4;const x=[],h=new s.Indices(this.numItems);for(;void 0!==o;){const s=Math.min(o+4*this.nodeSize,d(o,this._levelBounds));for(let d=o;d<s;d+=4){const s=0|this._indices[d>>2];t<this._boxes[d+0]||(i<this._boxes[d+1]||e>this._boxes[d+2]||n>this._boxes[d+3]||(o<4*this.numItems?h.set(s):x.push(s)))}o=x.pop()}return h}}x.__name__=\"_FlatBush\";class h{constructor(e){this.index=null,e>0&&(this.index=new x(e))}add(e,n,t,i){var s;null===(s=this.index)||void 0===s||s.add(e,n,t,i)}add_empty(){var e;null===(e=this.index)||void 0===e||e.add(1/0,1/0,-1/0,-1/0)}finish(){var e;null===(e=this.index)||void 0===e||e.finish()}_normalize(e){let{x0:n,y0:t,x1:i,y1:s}=e;return n>i&&([n,i]=[i,n]),t>s&&([t,s]=[s,t]),{x0:n,y0:t,x1:i,y1:s}}get bbox(){if(null==this.index)return o.empty();{const{minX:e,minY:n,maxX:t,maxY:i}=this.index;return{x0:e,y0:n,x1:t,y1:i}}}indices(e){if(null==this.index)return new s.Indices(0);{const{x0:n,y0:t,x1:i,y1:s}=this._normalize(e);return this.index.search_indices(n,t,i,s)}}bounds(e){const n=o.empty();for(const t of this.indices(e)){const e=this.index._boxes,i=e[4*t+0],s=e[4*t+1],o=e[4*t+2],d=e[4*t+3];o<n.x0&&(n.x0=o),i>n.x1&&(n.x1=i),d<n.y0&&(n.y0=d),s>n.y1&&(n.y1=s)}return n}}t.SpatialIndex=h,h.__name__=\"SpatialIndex\"},\n",
       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(97)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,t<this.minX&&(this.minX=t),s<this.minY&&(this.minY=s),i>this.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e<this.numItems;e++){let h=4*e;const n=this._boxes[h++],o=this._boxes[h++],r=this._boxes[h++],a=this._boxes[h++],d=Math.floor(65535*((n+r)/2-this.minX)/t),x=Math.floor(65535*((o+a)/2-this.minY)/s);i[e]=_(d,x)}!function t(s,i,e,h,n,o){if(Math.floor(h/o)>=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]<r);do{d--}while(s[d]>r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t<this._levelBounds.length-1;t++){const i=this._levelBounds[t];for(;s<i;){const t=s;let e=1/0,h=1/0,n=-1/0,o=-1/0;for(let t=0;t<this.nodeSize&&s<i;t++)e=Math.min(e,this._boxes[s++]),h=Math.min(h,this._boxes[s++]),n=Math.max(n,this._boxes[s++]),o=Math.max(o,this._boxes[s++]);this._indices[this._pos>>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];i<this._boxes[r]||(e<this._boxes[r+1]||t>this._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i<e;i+=4){const e=0|this._indices[i>>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t<s?s-t:t<=i?0:t-i}function r(t,s){let i=0,e=s.length-1;for(;i<e;){const h=i+e>>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,x=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),(x<<1|d)>>>0}i.default=n},\n",
       "      function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(99),r=s.__importStar(t(18)),a=t(24),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 0!==i?i:[];a.set(e,[...t,n])}let p=s,g=0;for(const[t,s]of a){const i=s.length,[a,l]=c(s,n,p);g+=l;const u=o.sum(s.map(t=>a.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){const e=t.length,n=new a.NumberArray(e);for(let s=0;s<e;s++)n[s]=this.synthetic(t[s]);return n}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(81),a=n.__importStar(e(18));class r extends s.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[a.Any],min_interval:[a.Any],max_interval:[a.Any]}),this.internal({plots:[a.Array,[]]})}get is_reversed(){return this.start>this.end}get is_valid(){return!isNaN(this.min)&&!isNaN(this.max)}}i.Range=r,r.__name__=\"Range\",r.init_Range()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(101));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n",
       "      function _(t,n,e){function i(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function r(t,n,e){const r=i(n,e);if(0==r)return i(t,n);const s=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/r;if(s<0)return i(t,n);if(s>1)return i(t,e);return i(t,{x:n.x+s*(e.x-n.x),y:n.y+s*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];o<n!=_<n&&s+(n-o)/(_-o)*(c-s)<t&&(r=!r),s=c,o=_}return r},e.point_in_ellipse=function(t,n,e,i,r,s,o){return((Math.cos(e)/r)**2+(Math.sin(e)/i)**2)*(t-s)**2+2*Math.cos(e)*Math.sin(e)*((1/r)**2-(1/i)**2)*(t-s)*(n-o)+((Math.cos(e)/i)**2+(Math.sin(e)/r)**2)*(n-o)**2<=1},e.dist_2_pts=i,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,r,s,o,u){const c=(u-s)*(e-t)-(o-r)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-s,l=t-r;const y=(e-t)*_-(i-n)*l;_=((o-r)*_-(u-s)*l)/c,l=y/c;return{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(103),a=t(107),n=t(108),o=t(109),_=t(22);class h{constructor(t){this._atlas=new Map,this._width=256,this._height=256,this.tex=new i.Texture2d(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._width,this._height],t.RGBA),this.tex.set_data([0,0],[this._width,this._height],new Uint8Array(4*this._width*this._height)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");let s=this._atlas.get(e);if(null==s){const[i,a]=this.make_pattern(t),n=this._atlas.size;this.tex.set_data([0,n],[this._width,1],new Uint8Array(i.map(t=>t+10))),s=[n/this._height,a],this._atlas.set(e,s)}return s}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,o,_;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(_=h<=s[r]?1:0,o=s[r],i=s[r+1]):(_=h>s[r]?-1:0,o=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=_,n[4*t+2]=o,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=o.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),i._update_scale(1,1),this._scale_aspect=1,this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[1,1]),this.prog.set_uniform(\"u_scale_length\",\"float\",[Math.sqrt(2)]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=_.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,o,_;const h=this.nvertices,r=this.glyph.sx,l=this.glyph.sy,g=o=new Float32Array(2*h),u=new Float32Array(2*h),f=_=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t],g[2*t+1]=l[t];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=o[2*(t+1)+0]-o[2*t+0],e[2*t+1]=o[2*(t+1)+1]-o[2*t+1];for(let t=0,s=h-1;t<s;t++)f[4*(t+1)+0]=e[2*t+0],f[4*(t+1)+1]=e[2*t+1],f[4*t+2]=e[2*t+0],f[4*t+3]=e[2*t+1];f[0]=e[0],f[1]=e[1],f[4*(h-1)+2]=e[2*(h-2)+0],f[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(_[4*t+0]*_[4*t+3]-_[4*t+1]*_[4*t+2],_[4*t+0]*_[4*t+2]+_[4*t+1]*_[4*t+3]);for(let t=0,e=h-1;t<e;t++)u[2*t+0]=c[t],u[2*t+1]=c[t+1];const p=4*h-4;this.V_position=i=new Float32Array(2*p),this.V_angles=s=new Float32Array(2*p),this.V_tangents=a=new Float32Array(4*p),this.V_texcoord=n=new Float32Array(2*p);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=u[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=f[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const d=6*(h-1);this.I_triangles=t=new Uint32Array(d);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,o=new Float32Array(i-1),_=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)o[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=o[t],_[2*(t+1)+0]=h,_[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=_[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGL=g,g.__name__=\"LineGL\"},\n",
       "      function _(e,r,f){Object.defineProperty(f,\"__esModule\",{value:!0});var u=e(104);f.Program=u.Program;var t=e(106);f.Texture2d=t.Texture2d;var a=e(105);f.IndexBuffer=a.IndexBuffer,f.VertexBuffer=a.VertexBuffer},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(105);class a{constructor(t){this.gl=t,this.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},this.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},this.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},this._linked=!1,this._validated=!1,this._unset_variables=new Set,this._known_invalid=new Set,this._locations=new Map,this._samplers=new Map,this._attributes=new Map,this.handle=this.gl.createProgram()}delete(){this.gl.deleteProgram(this.handle)}activate(){this.gl.useProgram(this.handle)}deactivate(){this.gl.useProgram(0)}set_shaders(t,e){const i=this.gl;this._linked=!1;const s=i.createShader(i.VERTEX_SHADER),a=i.createShader(i.FRAGMENT_SHADER),r=[[t,s,\"vertex\"],[e,a,\"fragment\"]];for(const[t,e,s]of r){i.shaderSource(e,t),i.compileShader(e);if(!i.getShaderParameter(e,i.COMPILE_STATUS)){const t=i.getShaderInfoLog(e);throw new Error(`errors in ${s} shader:\\n${t}`)}}if(i.attachShader(this.handle,s),i.attachShader(this.handle,a),i.linkProgram(this.handle),!i.getProgramParameter(this.handle,i.LINK_STATUS)){const t=i.getProgramInfoLog(this.handle);throw new Error(\"Program link error:\\n\"+t)}this._unset_variables=this._get_active_attributes_and_uniforms(),i.detachShader(this.handle,s),i.detachShader(this.handle,a),i.deleteShader(s),i.deleteShader(a),this._known_invalid.clear(),this._linked=!0}_get_active_attributes_and_uniforms(){const t=this.gl;this._locations.clear();const e=new RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),i=t.getProgramParameter(this.handle,t.ACTIVE_UNIFORMS),s=[],a=[],r=[[s,t.getProgramParameter(this.handle,t.ACTIVE_ATTRIBUTES),t.getActiveAttrib,t.getAttribLocation],[a,i,t.getActiveUniform,t.getUniformLocation]];for(const[i,s,a,n]of r)for(let r=0;r<s;r+=1){const s=a.call(t,this.handle,r),o=s.name,h=o.match(e);if(null!=h){const t=h[1];for(let e=0;e<s.size;e+=1)i.push([`${t}[${e}]`,s.type])}else i.push([o,s.type]);this._locations.set(o,n.call(t,this.handle,o))}const n=new Set;for(const[t]of s)n.add(t);for(const[t]of a)n.add(t);return n}set_texture(t,e){var i;if(!this._linked)throw new Error(\"Cannot set uniform when program has no code\");const s=null!==(i=this._locations.get(t))&&void 0!==i?i:-1;if(s<0)this._known_invalid.has(t)||(this._known_invalid.add(t),console.log(`\"Variable ${t} is not an active texture`));else{this._unset_variables.has(t)&&this._unset_variables.delete(t),this.activate();{let i=this._samplers.size;this._samplers.has(t)&&(i=this._samplers.get(t)[2]),this._samplers.set(t,[e._target,e.handle,i]),this.gl.uniform1i(s,i)}}}set_uniform(t,e,i){var s;if(!this._linked)throw new Error(\"Cannot set uniform when program has no code\");const a=null!==(s=this._locations.get(t))&&void 0!==s?s:-1;if(a<0)return void(this._known_invalid.has(t)||(this._known_invalid.add(t),console.log(`Variable ${t} is not an active uniform`)));this._unset_variables.has(t)&&this._unset_variables.delete(t);let r=1;if(!e.startsWith(\"mat\")){const t=\"int\"==e||\"bool\"==e?\"float\":e.replace(/^ib/,\"\");r=Math.floor(i.length/this.ATYPEINFO[t][0])}if(r>1)for(let e=0;e<r;e+=1)if(this._unset_variables.has(`${t}[${e}]`)){const i=`${t}[${e}]`;this._unset_variables.has(i)&&this._unset_variables.delete(i)}const n=this.UTYPEMAP[e];this.activate(),e.startsWith(\"mat\")?this.gl[n](a,!1,i):this.gl[n](a,i)}set_attribute(t,e,i,a=0,r=0){var n;if(!this._linked)throw new Error(\"Cannot set attribute when program has no code\");const o=null!==(n=this._locations.get(t))&&void 0!==n?n:-1;if(o<0)this._known_invalid.has(t)||(this._known_invalid.add(t),i instanceof s.VertexBuffer&&r>0||console.log(`Variable ${t} is not an active attribute`));else if(this._unset_variables.has(t)&&this._unset_variables.delete(t),this.activate(),i instanceof s.VertexBuffer){const[s,n]=this.ATYPEINFO[e],h=\"vertexAttribPointer\",l=[s,n,!1,a,r];this._attributes.set(t,[i.handle,o,h,l])}else{const s=this.ATYPEMAP[e];this._attributes.set(t,[null,o,s,i])}}_pre_draw(){this.activate();for(const[t,e,i]of this._samplers.values())this.gl.activeTexture(this.gl.TEXTURE0+i),this.gl.bindTexture(t,e);for(const[t,e,i,s]of this._attributes.values())null!=t?(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,t),this.gl.enableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s])):(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,null),this.gl.disableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s]));this._validated||(this._validated=!0,this._validate())}_validate(){if(this._unset_variables.size&&console.log(\"Program has unset variables: \"+this._unset_variables),this.gl.validateProgram(this.handle),!this.gl.getProgramParameter(this.handle,this.gl.VALIDATE_STATUS))throw console.log(this.gl.getProgramInfoLog(this.handle)),new Error(\"Program validation error\")}draw(t,e){if(!this._linked)throw new Error(\"Cannot draw program if code has not been set\");if(e instanceof s.IndexBuffer){this._pre_draw(),e.activate();const i=e.buffer_size/2,s=this.gl.UNSIGNED_SHORT;this.gl.drawElements(t,i,s,0),e.deactivate()}else{const[i,s]=e;0!=s&&(this._pre_draw(),this.gl.drawArrays(t,i,s))}}}i.Program=a,a.__name__=\"Program\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});class i{constructor(e){this.gl=e,this._usage=35048,this.buffer_size=0,this.handle=this.gl.createBuffer()}delete(){this.gl.deleteBuffer(this.handle)}activate(){this.gl.bindBuffer(this._target,this.handle)}deactivate(){this.gl.bindBuffer(this._target,null)}set_size(e){e!=this.buffer_size&&(this.activate(),this.gl.bufferData(this._target,e,this._usage),this.buffer_size=e)}set_data(e,t){this.activate(),this.gl.bufferSubData(this._target,e,t)}}s.Buffer=i,i.__name__=\"Buffer\";class r extends i{constructor(){super(...arguments),this._target=34962}}s.VertexBuffer=r,r.__name__=\"VertexBuffer\";class a extends i{constructor(){super(...arguments),this._target=34963}}s.IndexBuffer=a,a.__name__=\"IndexBuffer\"},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=t(11);class r{constructor(t){this.gl=t,this._target=3553,this._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},this.handle=this.gl.createTexture()}delete(){this.gl.deleteTexture(this.handle)}activate(){this.gl.bindTexture(this._target,this.handle)}deactivate(){this.gl.bindTexture(this._target,0)}_get_alignment(t){const e=[4,8,2,1];for(const i of e)if(t%i==0)return i;a.unreachable()}set_wrapping(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_S,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_T,e)}set_interpolation(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_MIN_FILTER,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_MAG_FILTER,e)}set_size([t,e],i){var a,r,s;t==(null===(a=this._shape_format)||void 0===a?void 0:a.width)&&e==(null===(r=this._shape_format)||void 0===r?void 0:r.height)&&i==(null===(s=this._shape_format)||void 0===s?void 0:s.format)||(this._shape_format={width:t,height:e,format:i},this.activate(),this.gl.texImage2D(this._target,0,i,t,e,0,i,this.gl.UNSIGNED_BYTE,null))}set_data(t,[e,i],a){this.activate();const{format:r}=this._shape_format,[s,h]=t,l=this._types[a.constructor.name];if(null==l)throw new Error(`Type ${a.constructor.name} not allowed for texture`);const _=this._get_alignment(e);4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,_),this.gl.texSubImage2D(this._target,0,s,h,e,i,r,l,a),4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,4)}}i.Texture2d=r,r.__name__=\"Texture2d\"},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});class s{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,i){if(0==t.length)return!0;const{width:s,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:s,height:h};return this.draw(t,i,a),!0}}i.BaseGLGlyph=s,s.__name__=\"BaseGLGlyph\"},\n",
       "      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = a_position;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n",
       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(93),_=e(100),n=s.__importStar(e(101)),o=s.__importStar(e(28)),a=e(88);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.view=this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(24),n=e(112),a=i.__importStar(e(101)),_=i.__importStar(e(18)),h=e(88);class l extends n.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x1[r],n=this._x2[r],a=this._y[r];isNaN(i+n+a)||!isFinite(i+n+a)?e.add_empty():e.add(t(i,n),a,s(i,n),a)}}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new r.NumberArray(2*t),i=new r.NumberArray(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const n=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(n.add_to_selected_glyphs(this.model),n.view=this),n}scenterxy(e){return[(this.sx1[e]+this.sx2[e])/2,this.sy[e]]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends n.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.XCoordinateSpec,{field:\"x1\"}],x2:[_.XCoordinateSpec,{field:\"x2\"}],y:[_.YCoordinateSpec,{field:\"y\"}]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n",
       "      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(94),t=e(100),n=a.__importStar(e(28));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(24),n=e(112),a=i.__importStar(e(101)),_=i.__importStar(e(18)),h=e(88);class l extends n.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y1[r],a=this._y2[r];isNaN(i+n+a)||!isFinite(i+n+a)?e.add_empty():e.add(i,t(n,a),i,s(n,a))}}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterxy(e){return[this.sx[e],(this.sy1[e]+this.sy2[e])/2]}_hit_point(e){const t=this.sx.length,s=new r.NumberArray(2*t),i=new r.NumberArray(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const n=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(n.add_to_selected_glyphs(this.model),n.view=this),n}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends n.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.XCoordinateSpec,{field:\"x\"}],y1:[_.YCoordinateSpec,{field:\"y1\"}],y2:[_.YCoordinateSpec,{field:\"y2\"}]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n",
       "      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(81),c=t.__importStar(i(18)),o=i(88),r=i(24),_=i(86);class a extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Any],indices_map:[c.Any,{}],masked:[c.Any,null]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>this.compute_indices());const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){var i;const{source:e}=this;if(null==e)return;const s=null!==(i=e.get_length())&&void 0!==i?i:1,t=r.Indices.all_set(s);for(const i of this.filters)t.intersect(i.compute_indices(e));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this._indices.length;i++)this.indices_map[this._indices[i]]=i}convert_selection_from_subset(i){const e=i.indices.map(i=>this._indices[i]);return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_selection_to_subset(i){const e=i.indices.map(i=>this.indices_map[i]);return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_indices_from_subset(i){return i.map(i=>this._indices[i])}}s.CDSView=a,a.__name__=\"CDSView\",a.init_CDSView()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),i=e(91),s=e(117),a=t.__importStar(e(18)),o=e(115),_=e(11);class l extends i.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model;let r=null,n=null;const t={v_compute(n){_.assert(null==r);const[t]=r=e.layout_provider.get_edge_coordinates(n);return t}},i={v_compute(e){_.assert(null!=r);const[,n]=r;return r=null,n}},s={v_compute(r){_.assert(null==n);const[t]=n=e.layout_provider.get_node_coordinates(r);return t}},a={v_compute(e){_.assert(null!=n);const[,r]=n;return n=null,r}},{edge_renderer:l,node_renderer:d}=this.model;l.glyph.properties.xs.internal=!0,l.glyph.properties.ys.internal=!0,d.glyph.properties.x.internal=!0,d.glyph.properties.y.internal=!0,l.glyph.xs={expr:t},l.glyph.ys={expr:i},d.glyph.x={expr:s},d.glyph.y={expr:a};const{parent:p}=this;this.edge_view=await o.build_view(l,{parent:p}),this.node_view=await o.build_view(d,{parent:p})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>{this.edge_view.set_data(!1),this.node_view.set_data(!1),this.request_render()})}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=l,l.__name__=\"GraphRendererView\";class d extends i.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=l,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new s.NodesOnly],inspection_policy:[a.Instance,()=>new s.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=d,d.__name__=\"GraphRenderer\",d.init_GraphRenderer()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(81),s=e(12),o=e(9),_=e(88);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(81);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n",
       "      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(14);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),l=e(123),_=i.__importStar(e(28));class o extends l.UpperLowerView{connect_signals(){super.connect_signals();const e=()=>this.set_data(this.model.source);this.connect(this.model.change,e),this.connect(this.model.source.streaming,e),this.connect(this.model.source.patching,e),this.connect(this.model.source.change,e)}_render(){this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,t=this._lower_sx.length;s<t;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,t=this._lower_sx.length;s<t;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,t=this._upper_sx.length;s<t;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}t.BandView=o,o.__name__=\"BandView\";class n extends l.UpperLower{constructor(e){super(e)}static init_Band(){this.prototype.default_view=o,this.mixins([_.Line,_.Fill]),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}t.Band=n,n.__name__=\"Band\",n.init_Band()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(36),r=e(85),p=s.__importStar(e(18));class _ extends o.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,p=\"height\"==t?e.yview:e.xview,_=\"height\"==t?e.xview:e.yview;let a,n,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):p.v_compute(this._lower),n=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):p.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):_.v_compute(this._base);const[c,u]=\"height\"==t?[1,0]:[0,1],l=[a,h],w=[n,h];this._lower_sx=l[c],this._lower_sy=l[u],this._upper_sx=w[c],this._upper_sy=w[u]}}i.UpperLowerView=_,_.__name__=\"UpperLowerView\";class a extends o.Annotation{constructor(e){super(e)}static init_UpperLower(){this.define({lower:[p.DistanceSpec],upper:[p.DistanceSpec],base:[p.DistanceSpec],dimension:[p.Dimension,\"height\"],source:[p.Instance,()=>new r.ColumnDataSource]})}}i.UpperLower=a,a.__name__=\"UpperLower\",a.init_UpperLower()},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(1),o=t(36),n=t(15),l=e.__importStar(t(28)),a=e.__importStar(t(18)),h=t(79);s.EDGE_TOLERANCE=2.5;class r extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}_render(){if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,s=this.coordinates.y_scale,e=(t,i,s,e,o)=>{let n;return n=null!=t?this.model.screen?t:\"data\"==i?s.compute(t):e.compute(t):o,n};this.sleft=e(this.model.left,this.model.left_units,i,t.xview,t.bbox.left),this.sright=e(this.model.right,this.model.right_units,i,t.xview,t.bbox.right),this.stop=e(this.model.top,this.model.top_units,s,t.yview,t.bbox.top),this.sbottom=e(this.model.bottom,this.model.bottom_units,s,t.yview,t.bbox.bottom),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,s,e){const{ctx:o}=this.layer;o.save(),o.beginPath(),o.rect(t,e,i-t,s-e),this.visuals.fill.doit&&(this.visuals.fill.set_value(o),o.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(o),o.stroke()),o.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+s.EDGE_TOLERANCE;return new h.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}s.BoxAnnotationView=r,r.__name__=\"BoxAnnotationView\";class u extends o.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new n.Signal0(this,\"data_update\")}update({left:t,right:i,top:s,bottom:e}){this.setv({left:t,right:i,top:s,bottom:e,screen:!0},{silent:!0}),this.data_update.emit()}}s.BoxAnnotation=u,u.__name__=\"BoxAnnotation\",u.init_BoxAnnotation()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(36),s=t(126),r=t(130),n=t(132),l=t(145),_=t(156),h=t(157),m=t(158),d=o.__importStar(t(28)),c=o.__importStar(t(18)),u=o.__importStar(t(159)),g=t(9),p=t(12),f=t(8),b=t(11);class v extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=g.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new n.LinearColorMapper({palette:i}).rgba_mapper.v_compute(g.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let n,l;switch(this.model.orientation){case\"vertical\":n=e+a+2*r,l=i+s+o+2*r;break;case\"horizontal\":n=e+a+s+o+2*r,l=i+2*r}return{width:l,height:n}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:n}=this.model;let l,_;if(f.isString(n))switch(n){case\"top_left\":l=s.start+o,_=r.start+o;break;case\"top_center\":l=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":l=s.end-o-i,_=r.start+o;break;case\"bottom_right\":l=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":l=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":l=s.start+o,_=r.end-o-e;break;case\"center_left\":l=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":l=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":l=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(f.isArray(n)&&2==n.length){const[t,i]=n;l=a.xview.compute(t),_=a.yview.compute(i)-e}else b.unreachable();return{sx:l,sy:_}}_render(){if(null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();t.translate(o.x,o.y),this._draw_image(t);const a=this.tick_info();this._draw_major_ticks(t,a),this._draw_minor_ticks(t,a),this._draw_major_labels(t,a),this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[n,l]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=n.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(n[e]+i*h),Math.round(l[e]+o*h)),t.lineTo(Math.round(n[e]-i*_),Math.round(l[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[n,l]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=n.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(n[e]+i*h),Math.round(l[e]+o*h)),t.lineTo(Math.round(n[e]-i*_),Math.round(l[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],n=this.model.label_standoff+this._tick_extent(),[l,_]=[n*i,n*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+l,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(g.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=g.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=u.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?u.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return g.max([this.model.major_tick_out,this.model.minor_tick_out])}_computed_image_dimensions(){const t=this.plot_view.frame.bbox.height,e=this.plot_view.frame.bbox.width,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=g.max([25*this.model.color_mapper.palette.length,.3*t]),o=g.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=g.max([25*this.model.color_mapper.palette.length,.3*e]),a=g.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new m.Range1d({start:this.model.color_mapper.metrics.min,end:this.model.color_mapper.metrics.max}),target_range:new m.Range1d({start:0,end:t})},{color_mapper:i}=this.model;if(i instanceof n.LinearColorMapper)return new l.LinearScale(e);if(i instanceof n.LogColorMapper)return new h.LogScale(e);if(i instanceof n.ScanningColorMapper){const{binning:t}=i.metrics;return new _.LinearInterpolationScale(Object.assign(Object.assign({},e),{binning:t}))}b.unreachable()}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.metrics.min,this.model.color_mapper.metrics.max],n=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),l=n.major,_=n.minor,h=[[],[]],m=[[],[]];for(let t=0,e=l.length;t<e;t++)l[t]<s||l[t]>r||(h[o].push(l[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],l)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=v,v.__name__=\"ColorBarView\";class w extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=v,this.mixins([[\"major_label_\",d.Text],[\"title_\",d.Text],[\"major_tick_\",d.Line],[\"minor_tick_\",d.Line],[\"border_\",d.Line],[\"bar_\",d.Line],[\"background_\",d.Fill]]),this.define({location:[c.Any,\"top_right\"],orientation:[c.Orientation,\"vertical\"],title:[c.String],title_standoff:[c.Number,2],width:[c.Any,\"auto\"],height:[c.Any,\"auto\"],scale_alpha:[c.Number,1],ticker:[c.Instance,()=>new s.BasicTicker],formatter:[c.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[c.Any,{}],color_mapper:[c.Instance],label_standoff:[c.Number,5],margin:[c.Number,30],padding:[c.Number,10],major_tick_in:[c.Number,5],major_tick_out:[c.Number,0],minor_tick_in:[c.Number,0],minor_tick_out:[c.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=w,w.__name__=\"ColorBar\",w.init_ColorBar()},\n",
       "      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(127);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(128),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(129),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isFinite(s)&&isFinite(_)?o.range(s,_+1):[];const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n",
       "      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(81);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n",
       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(131),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(81);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n",
       "      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(133);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(138);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(139);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(140);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(135);o.ColorMapper=M.ColorMapper;var n=r(141);o.LinearColorMapper=n.LinearColorMapper;var t=r(142);o.LogColorMapper=t.LogColorMapper;var i=r(143);o.ScanningColorMapper=i.ScanningColorMapper;var c=r(144);o.EqHistColorMapper=c.EqHistColorMapper},\n",
       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(134),c=r(135),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let g,s,d=e[_];i.isString(d)?g=l.index_of(n,d):(null!=f?d=null!=o?d.slice(f,o):d.slice(f):null!=o&&(d=d.slice(0,o)),g=1==d.length?l.index_of(n,d[0]):l.find_index(n,e=>u(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(136),_=n.__importStar(t(18)),i=t(8),l=t(22),c=t(32);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(137);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(81);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n",
       "      function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(134),i=r(136),c=t.__importStar(r(18));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n",
       "      function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(134),s=t(136),i=r.__importStar(t(18));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(135),s=t(90),l=t(9),i=t(8);class c extends n.ColorMapper{constructor(t){super(t),this._scan_data=null}static init_ContinuousColorMapper(){this.define(({Number:t,String:o,Null:e,Ref:n,Color:l,Or:i,Tuple:c,Array:a})=>({high:[i(t,e),null],low:[i(t,e),null],high_color:[i(l,e),null],low_color:[i(l,e),null],domain:[a(c(n(s.GlyphRenderer),i(o,a(o)))),[]]}))}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,()=>this.update_data()),this.connect(t.data_source.selected.change,()=>this.update_data())};this.connect(this.properties.domain.change,()=>t()),t()}update_data(){const{domain:t,palette:o}=this,e=[...this._collect(t)];this._scan_data=this.scan(e,o.length),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[o,e]of t)for(const t of i.isArray(e)?e:[e]){let e=o.data_source.get_column(t);e=o.view.indices.select(e);const n=o.view.masked,s=o.data_source.selected.indices;let c;if(null!=n&&s.length>0?c=l.intersection([...n],s):null!=n?c=[...n]:s.length>0&&(c=s),null!=c&&(e=l.map(c,t=>e[t])),e.length>0&&!i.isNumber(e[0]))for(const t of e)yield*t;else yield*e}}_v_compute(t,o,e,n){const{nan_color:s}=n;let{low_color:i,high_color:c}=n;null==i&&(i=e[0]),null==c&&(c=e[e.length-1]);const{domain:a}=this,r=l.is_empty(a)?t:[...this._collect(a)];this._scan_data=this.scan(r,e.length);for(let n=0,l=t.length;n<l;n++){const l=t[n];isNaN(l)?o[n]=s:o[n]=this.cmap(l,e,i,c,this._scan_data)}}_colors(t){return Object.assign(Object.assign({},super._colors(t)),{low_color:null!=this.low_color?t(this.low_color):void 0,high_color:null!=this.high_color?t(this.high_color):void 0})}}e.ContinuousColorMapper=c,c.__name__=\"ContinuousColorMapper\",c.init_ContinuousColorMapper()},\n",
       "      function _(n,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=n(140),t=n(12);class a extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:t.min(n),e=null!=this.high?this.high:t.max(n);return{max:e,min:o,norm_factor:1/(e-o),normed_interval:1/r}}cmap(n,r,o,e,t){const a=r.length-1;if(n==t.max)return r[a];const i=(n-t.min)*t.norm_factor,l=Math.floor(i/t.normed_interval);return l<0?o:l>a?e:r[l]}}o.LinearColorMapper=a,a.__name__=\"LinearColorMapper\"},\n",
       "      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(140),r=o(12);class l extends e.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:r.min(o),e=null!=this.high?this.high:r.max(o);return{max:e,min:n,scale:t/(Math.log(e)-Math.log(n))}}cmap(o,t,n,e,r){const l=t.length-1;if(o>r.max)return e;if(o==r.max)return t[l];if(o<r.min)return n;const a=Math.log(o)-Math.log(r.min);let s=Math.floor(a*r.scale);return s>l&&(s=l),t[s]}}n.LogColorMapper=l,l.__name__=\"LogColorMapper\"},\n",
       "      function _(n,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=n(140),o=n(12);class t extends i.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,r,i,t){if(n<t.binning[0])return r;if(n>t.binning[t.binning.length-1])return i;return e[o.left_edge_index(n,t.binning)]}}r.ScanningColorMapper=t,t.__name__=\"ScanningColorMapper\"},\n",
       "      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=n(1),o=n(143),r=n(12),s=n(9),a=i.__importStar(n(18)),l=n(19);class p extends o.ScanningColorMapper{constructor(n){super(n)}static init_EqHistColorMapper(){this.define({bins:[a.Int,65536]})}scan(n,t){const e=null!=this.low?this.low:r.min(n),i=null!=this.high?this.high:r.max(n),o=this.bins,a=s.linspace(e,i,o+1),p=r.bin_counts(n,a),c=new Array(o);for(let n=0,t=a.length;n<t-1;n++){const t=a[n],e=a[n+1];c[n]=(t+e)/2}const h=s.cumsum(p),u=h[h.length-1],g=r.map(h,n=>n/u);let m=t-1,_=[],M=0,f=2*t;for(;m!=t&&M<4&&0!=m;){const n=f/m;if(n>1e3)break;f=Math.round(Math.max(t*n,t));const e=s.range(0,f),i=r.map(g,n=>n*(f-1));_=r.interpolate(e,i,c);m=s.uniq(_).length-1,M++}if(0==m){_=[e,i];for(let n=0;n<t-1;n++)_.push(i)}else _=_.slice(_.length-t-1),m!=t&&l.logger.warn(\"EqHistColorMapper warning: Histogram equalization did not converge.\");return{min:e,max:i,binning:_}}}e.EqHistColorMapper=p,p.__name__=\"EqHistColorMapper\",p.init_EqHistColorMapper()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(1),i=e(146),_=r.__importStar(e(18));class a extends i.ContinuousScale{constructor(e){super(e)}static init_LinearScale(){this.internal({scan_result:[_.Any]})}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=a,a.__name__=\"LinearScale\",a.init_LinearScale()},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(147);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(148),s=t(24),i=n.__importStar(t(18));class a extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[i.Any],target_range:[i.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new s.NumberArray(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new s.NumberArray(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=a,a.__name__=\"Scale\",a.init_Scale()},\n",
       "      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(149);t.CustomJSTransform=e.CustomJSTransform;var a=r(150);t.Dodge=a.Dodge;var n=r(152);t.Interpolator=n.Interpolator;var p=r(153);t.Jitter=p.Jitter;var l=r(154);t.LinearInterpolator=l.LinearInterpolator;var v=r(155);t.StepInterpolator=v.StepInterpolator;var s=r(137);t.Transform=s.Transform},\n",
       "      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(137),a=n.__importStar(t(18)),o=t(13),u=t(29);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(1),r=e(151),_=o.__importStar(e(18));class i extends r.RangeTransform{constructor(e){super(e)}static init_Dodge(){this.define({value:[_.Number,0]})}_compute(e){return e+this.value}}n.Dodge=i,i.__name__=\"Dodge\",i.init_Dodge()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(1),s=e(137),a=e(98),i=r.__importStar(e(18)),o=e(24),c=e(8);class u extends s.Transform{constructor(e){super(e)}static init_RangeTransform(){this.define({range:[i.Instance]})}v_compute(e){let t;if(this.range instanceof a.FactorRange)t=this.range.v_synthetic(e);else{if(!c.isArrayableOf(e,c.isNumber))throw new Error(\"unexpected\");t=e}const n=new o.NumberArray(t.length);for(let e=0;e<t.length;e++){const r=t[e];n[e]=this._compute(r)}return n}compute(e){if(this.range instanceof a.FactorRange)return this._compute(this.range.synthetic(e));if(c.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}}n.RangeTransform=u,u.__name__=\"RangeTransform\",u.init_RangeTransform()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(137),s=n.__importStar(t(18)),i=t(24),a=t(9),h=t(8);class d extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[s.Any],y:[s.Any],data:[s.Any],clip:[s.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new i.NumberArray(t.length);for(let r=0;r<t.length;r++){const n=t[r];e[r]=this.compute(n)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(h.isString(this.x)&&h.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!a.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!a.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!h.isArray(this.x)||!h.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const n=e.length,o=new Uint32Array(n);for(let t=0;t<n;t++)o[t]=t;const s=t?-1:1;o.sort((t,r)=>s*(e[t]-e[r])),this._x_sorted=new i.NumberArray(n),this._y_sorted=new i.NumberArray(n);for(let t=0;t<n;t++)this._x_sorted[t]=e[o[t]],this._y_sorted[t]=r[o[t]];this._sorted_dirty=!1}}r.Interpolator=d,d.__name__=\"Interpolator\",d.init_Interpolator()},\n",
       "      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),s=t(151),n=r.__importStar(t(18)),u=r.__importStar(t(10));class o extends s.RangeTransform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[n.Number,0],width:[n.Number,1],distribution:[n.Distribution,\"uniform\"]})}v_compute(t){return null!=this.previous_values&&this.previous_values.length==t.length||(this.previous_values=super.v_compute(t)),this.previous_values}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(u.random()-.5)*this.width;case\"normal\":return t+u.rnorm(this.mean,this.width)}}}e.Jitter=o,o.__name__=\"Jitter\",o.init_Jitter()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(152);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(152),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(1),a=e(147),i=e(24),s=e(9),o=e(12),c=r.__importStar(e(18));class _ extends a.Scale{constructor(e){super(e)}static init_LinearInterpolationScale(){this.internal({binning:[c.Array]})}compute(e){return e}v_compute(e){const t=o.norm(e,this.source_range.start,this.source_range.end),n=s.linspace(0,1,this.binning.length),r=o.interpolate(t,n,this.binning),a=o.norm(r,this.source_range.start,this.source_range.end),c=this.target_range.end-this.target_range.start,_=o.map(a,e=>this.target_range.start+e*c);return new i.NumberArray(_)}invert(e){return e}v_invert(e){return new i.NumberArray(e)}}n.LinearInterpolationScale=_,_.__name__=\"LinearInterpolationScale\",_.init_LinearInterpolationScale()},\n",
       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(146),r=t(24);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,r]=this._compute_state();let s;if(0==a)s=0;else{const n=(Math.log(t)-r)/a;s=isFinite(n)?n*e+o:NaN}return s}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new r.NumberArray(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,r]=this._compute_state(),s=(t-o)/e;return Math.exp(a*s+r)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new r.NumberArray(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[r,s]=this._get_safe_factor(t,e);let n,l;0==r?(n=Math.log(s),l=0):(n=Math.log(s)-Math.log(r),l=Math.log(r));return[a,o,n,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(99),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(72),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(161),l=s.__importStar(t(28)),n=s.__importStar(t(18));class o extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:i}=t.measureText(this.model.text);return{width:e,height:i}}_render(){let t;switch(this.model.angle_units){case\"rad\":t=-this.model.angle;break;case\"deg\":t=-this.model.angle*Math.PI/180}const e=null!=this.panel?this.panel:this.plot_view.frame,i=this.coordinates.x_scale,s=this.coordinates.y_scale;let a=\"data\"==this.model.x_units?i.compute(this.model.x):e.xview.compute(this.model.x),l=\"data\"==this.model.y_units?s.compute(this.model.y):e.yview.compute(this.model.y);a+=this.model.x_offset,l-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,l,t)}}i.LabelView=o,o.__name__=\"LabelView\";class _ extends a.TextAnnotation{constructor(t){super(t)}static init_Label(){this.prototype.default_view=o,this.mixins([l.Text,[\"border_\",l.Line],[\"background_\",l.Fill]]),this.define({x:[n.Number],x_units:[n.SpatialUnits,\"data\"],y:[n.Number],y_units:[n.SpatialUnits,\"data\"],text:[n.String],angle:[n.Angle,0],angle_units:[n.AngleUnits,\"rad\"],x_offset:[n.Number,0],y_offset:[n.Number,0]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=_,_.__name__=\"Label\",_.init_Label()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(36),a=e(72),n=i.__importStar(e(18)),o=e(159),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=a.div(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&a.remove(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible||\"css\"!=this.model.render_mode||a.undisplay(this.el),super.render()}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){const{el:n}=this;r.assert(null!=n),a.undisplay(n),this.visuals.text.set_value(e);const o=this._calculate_bounding_box_dimensions(e,t),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),n.style.position=\"absolute\",n.style.left=s+o[0]+\"px\",n.style.top=i+o[1]+\"px\",n.style.color=\"\"+this.visuals.text.text_color.value(),n.style.opacity=\"\"+this.visuals.text.text_alpha.value(),n.style.font=\"\"+this.visuals.text.font_value(),n.style.lineHeight=\"normal\",l&&(n.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(n.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(n.style.borderStyle=\"\"+_,n.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",n.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.textContent=t,a.display(n)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class u extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=u,u.__name__=\"TextAnnotation\",u.init_TextAnnotation()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),o=t(161),l=t(85),a=i.__importStar(t(28)),n=t(72),r=i.__importStar(t(18));class _ extends o.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.coordinates.x_scale,e=this.coordinates.y_scale,s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}_render(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let o=0,l=this._text.length;o<l;o++)t(e,o,this._text[o],s[o]+this._x_offset[o],i[o]-this._y_offset[o],this._angle[o])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,o,l){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,o),t.rotate(l),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,o,l){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=o+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",l&&(a.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends o.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new l.ColumnDataSource]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(36),n=s.__importStar(t(28)),h=s.__importStar(t(18)),a=t(15),_=t(159),o=t(79),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([_.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?_.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if(d.isString(v))switch(v){case\"top_left\":y=p.start+a,k=w.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=w.start+a;break;case\"top_right\":y=p.end-a-f,k=w.start+a;break;case\"bottom_right\":y=p.end-a-f,k=w.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=w.end-a-u;break;case\"bottom_left\":y=p.start+a,k=w.end-a-u;break;case\"center_left\":y=p.start+a,k=(w.end+w.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(w.end+w.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(w.end+w.start)/2-u/2}else if(d.isArray(v)&&2==v.length){const[t,e]=v;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new o.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const _=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=_.x+a,m=_.y+i+this.title_height;let b,u;[b,u]=r?[_.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height];if(new o.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}_render(){if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,_=l;const o=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+_+this.title_height,u=c+i,f=b+s;o?_+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=o?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(81),i=e(86),s=e(165),o=t.__importStar(e(18)),_=e(19),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[o.StringSpec,null],renderers:[o.Array,[]],index:[o.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()});this._check_data_sources_on_renderers()||_.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||_.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n",
       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(36),o=n.__importStar(t(28)),l=t(15),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}_render(){const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,o=t.length;s<o;s++){let o,l;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(o=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");l=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(o,l)):n.lineTo(o,l)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([o.Line,o.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new l.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(36),s=n.__importStar(e(28)),l=n.__importStar(e(18));class r extends o.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}_render(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=this.coordinates.x_scale,o=this.coordinates.y_scale,s=i.bbox.top,l=s+i.bbox.height,r=(o.invert(s)-t)/e,_=(o.invert(l)-t)/e,a=n.compute(r),c=n.compute(_),{ctx:p}=this.layer;p.save(),p.beginPath(),this.visuals.line.set_value(p),p.moveTo(a,s),p.lineTo(c,l),p.stroke(),p.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class _ extends o.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(s.Line),this.define({gradient:[l.Number,null],y_intercept:[l.Number,null]}),this.override({line_color:\"black\"})}}i.Slope=_,_.__name__=\"Slope\",_.init_Slope()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(36),s=n.__importStar(e(28)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,n=this.coordinates.y_scale,o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t.bbox.left,r=t.bbox.width,s=this.model.properties.line_width.value()):(l=t.bbox.top,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t.bbox.height);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=t(1),s=t(161),a=t(74),n=l.__importStar(t(28)),o=l.__importStar(t(18));class r extends s.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new a.Text(this.model)}_get_location(){const t=this.panel,e=this.model.offset;let i,l;const{bbox:s}=t;switch(t.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=s.top+5;break;case\"middle\":l=s.vcenter;break;case\"bottom\":l=s.bottom-5}switch(this.model.align){case\"left\":i=s.left+e;break;case\"center\":i=s.hcenter;break;case\"right\":i=s.right-e}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=s.left-5;break;case\"middle\":i=s.hcenter;break;case\"bottom\":i=s.right+5}switch(this.model.align){case\"left\":l=s.bottom-e;break;case\"center\":l=s.vcenter;break;case\"right\":l=s.top+e}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=s.right-5;break;case\"middle\":i=s.hcenter;break;case\"bottom\":i=s.left+5}switch(this.model.align){case\"left\":l=s.top+e;break;case\"center\":l=s.vcenter;break;case\"right\":l=s.bottom-e}}return[i,l]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,l)}_get_size(){const{text:t}=this.model;if(null==t||0==t.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:e,ascent:i}=this.layer.ctx.measureText(t);return{width:e,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=r,r.__name__=\"TitleView\";class c extends s.TextAnnotation{constructor(t){super(t)}static init_Title(){this.prototype.default_view=r,this.mixins([[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({text:[o.String],text_font:[o.Font,\"helvetica\"],text_font_size:[o.StringSpec,\"13px\"],text_font_style:[o.FontStyle,\"bold\"],text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_line_height:[o.Number,1],vertical_align:[o.VerticalAlign,\"bottom\"],align:[o.TextAlign,\"left\"],offset:[o.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[o.TextAlign,\"left\"],text_baseline:[o.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(36),s=e(115),a=e(72),n=e(79),r=o.__importStar(e(18));class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0,this._invalidate_toolbar=!0,this._previous_bbox=new n.BBox}initialize(){super.initialize(),this.el=a.div(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),a.remove(this.el),super.remove()}render(){this.model.visible||a.undisplay(this.el),super.render()}_render(){const{bbox:e}=this.panel;this._previous_bbox.equals(e)||(a.position(this.el,e),this._previous_bbox=e),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),this._invalidate_toolbar=!1),a.display(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=_,_.__name__=\"ToolbarPanelView\";class h extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=_,this.define({toolbar:[r.Instance]})}}t.ToolbarPanel=h,h.__name__=\"ToolbarPanel\",h.init_ToolbarPanel()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(36),o=t(72),n=s.__importStar(t(18)),a=t(172),h=t(173),r=s.__importDefault(t(174));class c extends l.AnnotationView{initialize(){super.initialize(),this.el=o.div({class:a.bk_tooltip}),o.undisplay(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){o.remove(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,()=>this.render()),this.connect(this.model.properties.position.change,()=>this._reposition())}styles(){return[...super.styles(),r.default]}render(){this.model.visible||o.undisplay(this.el),super.render()}_render(){const{content:t}=this.model;null!=t?(o.empty(this.el),o.classes(this.el).toggle(a.bk_tooltip_custom,this.model.custom),this.el.appendChild(t),this.model.show_arrow&&this.el.classList.add(a.bk_tooltip_arrow)):o.undisplay(this.el)}_reposition(){const{position:t}=this.model;if(null==t)return void o.undisplay(this.el);const[e,i]=t,s=(()=>{const t=this.parent.layout.bbox.relativize(),{attachment:s}=this.model;switch(s){case\"horizontal\":return e<t.hcenter?\"right\":\"left\";case\"vertical\":return i<t.vcenter?\"below\":\"above\";default:return s}})();let l;this.el.classList.remove(h.bk_right),this.el.classList.remove(h.bk_left),this.el.classList.remove(h.bk_above),this.el.classList.remove(h.bk_below),o.display(this.el);let n=null,a=null;switch(s){case\"right\":this.el.classList.add(h.bk_left),n=e+(this.el.offsetWidth-this.el.clientWidth)+10,l=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(h.bk_right),a=this.plot_view.layout.bbox.width-e+10,l=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(h.bk_above),l=i+(this.el.offsetHeight-this.el.clientHeight)+10,n=Math.round(e-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(h.bk_below),l=i-this.el.offsetHeight-10,n=Math.round(e-this.el.offsetWidth/2)}this.el.style.top=l+\"px\",this.el.style.left=null!=n?n+\"px\":\"auto\",this.el.style.right=null!=a?a+\"px\":\"auto\"}}i.TooltipView=c,c.__name__=\"TooltipView\";class d extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=c,this.define({attachment:[n.TooltipAttachment,\"horizontal\"],inner_only:[n.Boolean,!0],show_arrow:[n.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({position:[n.Any,null],content:[n.Any,()=>o.div()],custom:[n.Any]})}clear(){this.position=null}}i.Tooltip=d,d.__name__=\"Tooltip\",d.init_Tooltip()},\n",
       "      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n",
       "      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n",
       "      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(123),o=e(84),h=e(28),n=i.__importStar(e(18));class l extends r.UpperLowerView{connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}_render(){this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let s=0,t=this._lower_sx.length;s<t;s++)this.visuals.line.set_vectorize(e,s),e.beginPath(),e.moveTo(this._lower_sx[s],this._lower_sy[s]),e.lineTo(this._upper_sx[s],this._upper_sy[s]),e.stroke();const s=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let t=0,i=this._lower_sx.length;t<i;t++)e.save(),e.translate(this._lower_sx[t],this._lower_sy[t]),e.rotate(s+Math.PI),this.model.lower_head.render(e,t),e.restore();if(null!=this.model.upper_head)for(let t=0,i=this._upper_sx.length;t<i;t++)e.save(),e.translate(this._upper_sx[t],this._upper_sy[t]),e.rotate(s),this.model.upper_head.render(e,t),e.restore()}}t.WhiskerView=l,l.__name__=\"WhiskerView\";class _ extends r.UpperLower{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=l,this.mixins(h.LineVector),this.define({lower_head:[n.Instance,()=>new o.TeeHead({level:\"underlay\",size:10})],upper_head:[n.Instance,()=>new o.TeeHead({level:\"underlay\",size:10})]}),this.override({level:\"underlay\"})}}t.Whisker=_,_.__name__=\"Whisker\",_.init_Whisker()},\n",
       "      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(177);e.Axis=r.Axis;var s=i(179);e.CategoricalAxis=s.CategoricalAxis;var x=i(182);e.ContinuousAxis=x.ContinuousAxis;var A=i(183);e.DatetimeAxis=A.DatetimeAxis;var o=i(184);e.LinearAxis=o.LinearAxis;var t=i(197);e.LogAxis=t.LogAxis;var n=i(200);e.MercatorAxis=n.MercatorAxis},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(178),l=s.__importStar(t(28)),n=s.__importStar(t(18)),o=t(9),r=t(8),_=t(98),{abs:h,min:c,max:d}=Math;class m extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},{tick_coords:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,e),this._draw_major_ticks(s,e,i),this._draw_minor_ticks(s,e,i),this._draw_major_labels(s,e,i),this._draw_axis_label(s,e,i),null===(t=this._paint)||void 0===t||t.call(this,s,e,i),s.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location&&this.is_renderable){const t=this._get_size();return{width:0,height:Math.round(t)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.coordinates.map_to_screen(i,s),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath(),t.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let e=1;e<a.length;e++){const i=Math.round(a[e]+n*r),s=Math.round(l[e]+o*_);t.lineTo(i,s)}t.stroke()}_draw_major_ticks(t,e,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(t,i.major,s,a,l)}_draw_minor_ticks(t,e,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(t,i.minor,s,a,l)}_draw_major_labels(t,e,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=e.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(t,a,s,l,this.panel.side,n,o)}_draw_axis_label(t,e,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;const{bbox:l}=this.panel;switch(this.panel.side){case\"above\":s=l.hcenter,a=l.bottom;break;case\"below\":s=l.hcenter,a=l.top;break;case\"left\":s=l.right,a=l.vcenter;break;case\"right\":s=l.left,a=l.vcenter;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const n=[[s],[a]],r=e.tick+o.sum(e.tick_label)+this.model.axis_label_standoff,_=this.visuals.axis_label_text;this._draw_oriented_labels(t,[this.model.axis_label],n,\"parallel\",this.panel.side,r,_,\"screen\")}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[l,n]=e,[o,r]=this.coordinates.map_to_screen(l,n),[_,h]=this.normals,[c,d]=this.offsets,[m,b]=[_*(c-i),h*(d-i)],[u,x]=[_*(c+s),h*(d+s)];a.set_value(t),t.beginPath();for(let e=0;e<o.length;e++){const i=Math.round(o[e]+u),s=Math.round(r[e]+x),a=Math.round(o[e]+m),l=Math.round(r[e]+b);t.moveTo(i,s),t.lineTo(a,l)}t.stroke()}_draw_oriented_labels(t,e,i,s,a,l,n,o=\"data\"){if(!n.doit||0==e.length)return;let _,h,c,d;if(\"screen\"==o)[_,h]=i,[c,d]=[0,0];else{const[t,e]=i;[_,h]=this.coordinates.map_to_screen(t,e),[c,d]=this.offsets}const[m,b]=this.normals,u=m*(c+l),x=b*(d+l);let f;n.set_value(t),this.panel.apply_label_text_heuristics(t,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+u),a=Math.round(h[i]+x);t.translate(s,a),t.rotate(f),t.fillText(e[i],0,0),t.rotate(-f),t.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const t=this.model.axis_label_standoff,e=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,t,e)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,this.panel.side,s,a)]}_oriented_labels_extent(t,e,i,s,a){if(0==t.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(e)?(n=1,o=this.panel.get_label_angle_heuristic(e)):(n=2,o=-e),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let e=0;e<t.length;e++){const s=1.1*l.measureText(t[e]).width,a=.9*l.measureText(t[e]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.doFormat(t,this);for(let i=0;i<t.length;i++)t[i]in this.model.major_label_overrides&&(e[i]=this.model.major_label_overrides[t[i]]);return e}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:t}=this.plot_view;let[e,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel.bbox.top-t.bbox.bottom);break;case\"above\":i=h(this.panel.bbox.bottom-t.bbox.top);break;case\"right\":e=h(this.panel.bbox.left-t.bbox.right);break;case\"left\":e=h(this.panel.bbox.right-t.bbox.left)}return[e,i]}get ranges(){const t=this.dimension,e=(t+1)%2,{ranges:i}=this.coordinates;return[i[t],i[e]]}get computed_bounds(){const[t]=this.ranges,e=this.model.bounds,i=[t.min,t.max];if(\"auto\"==e)return[t.min,t.max];{let t,s;const[a,l]=e,[n,o]=i;return h(a-l)>h(n-o)?(t=d(c(a,l),n),s=c(d(a,l),o)):(t=c(a,l),s=d(a,l)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[t][0]=Math.max(s,i.min),l[t][1]=Math.min(a,i.max),l[t][0]>l[t][1]&&(l[t][0]=l[t][1]=NaN),l[e][0]=this.loc,l[e][1]=this.loc,l}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[t].push(n[i]),r[e].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[t].push(o[i]),_[e].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if(r.isNumber(t))return t;const[,e]=this.ranges;if(e instanceof _.FactorRange)return e.synthetic(t);throw new Error(\"unexpected\")}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=m,m.__name__=\"AxisView\";class b extends a.GuideRenderer{constructor(t){super(t)}static init_Axis(){this.prototype.default_view=m,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=b,b.__name__=\"Axis\",b.init_Axis()},\n",
       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(70);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n",
       "      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(177),r=t(180),a=t(181),l=e.__importStar(t(28)),_=e.__importStar(t(18));class n extends i.AxisView{_paint(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n",
       "      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(129);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(131),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n",
       "      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(177);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(184),a=e(185),r=e(190);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n",
       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(177),n=e(182),r=e(130),a=e(126);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(186)),n=t(131),o=t(19),a=r.__importStar(t(18)),c=t(187),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n",
       "      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o<a&&!(f[o][n]<=r);o++);if((u=f[o]).rules){for(s=t[u.rules],c=T+1;c>=T-g;--c)for(o=0,a=s.length;o<a;o++)s[o].from<=c&&c<=s[o].to?h.push(e(u,s[o],c)):s[o].to<c&&1==g&&(g=c-s[o].to);for(h.sort((function(e,t){return e.sort-t.sort})),o=0,a=h.length;o<a;o++)r>=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o<r.save?null:n-r.offset-r.save);var r,o}function o(e,t,o){var a,i=+(o[1]+1),s=o[2]*i,c=u.indexOf(o[3].toLowerCase());if(c>9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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       "      function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=r(1),i=n.__importStar(r(188)),u=r(189),a=n.__importDefault(r(186)),f=r(29),o=r(8);function l(r,...e){return u.sprintf(r,...e)}function s(r,e,t){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return\"\"+r}function c(r,e,n){if(null==e)return s;if(null!=n&&r in n){const e=n[r];if(o.isString(e)){if(e in t.DEFAULT_FORMATTERS)return t.DEFAULT_FORMATTERS[e];throw new Error(`Unknown tooltip field formatter type '${e}'`)}return function(r,t,n){return e.format(r,t,n)}}return t.DEFAULT_FORMATTERS.numeral}function m(r,e,t,n){if(\"$\"==r[0]){return function(r,e){if(r in e)return e[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),n)}return function(r,e,t){const n=e.get_column(r);if(null==n)return null;if(o.isNumber(t))return n[t];const i=n[t.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[t.dim2][t.dim1]}return i[t.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),e,t)}t.DEFAULT_FORMATTERS={numeral:(r,e,t)=>i.format(r,e),datetime:(r,e,t)=>a.default(r,e),printf:(r,e,t)=>l(e,r)},t.sprintf=l,t.basic_formatter=s,t.get_formatter=c,t.get_value=m,t.replace_placeholders=function(r,e,t,n,i={}){let u,a;if(o.isString(r)?(u=r,a=!1):(u=r.html,a=!0),u=u.replace(/@\\$name/g,r=>`@{${i.name}}`),u=u.replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,o)=>{const l=m(u,e,t,i);if(null==l)return\"\"+f.escape(\"???\");if(\"safe\"==o)return a=!0,\"\"+l;const s=c(u,o,n);return\"\"+f.escape(s(l,o,i))}),a){return[...(new DOMParser).parseFromString(u,\"text/html\").body.childNodes]}return u}},\n",
       "      function _(e,n,t){\n",
       "      /*!\n",
       "           * numbro.js\n",
       "           * version : 1.6.2\n",
       "           * author : Företagsplatsen AB\n",
       "           * license : MIT\n",
       "           * http://www.foretagsplatsen.se\n",
       "           */\n",
       "      var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n<e;n++)t+=\"0\";return t}function f(e,n,t,r){var i,a,o=Math.pow(10,n);return a=e.toFixed(0).search(\"e\")>-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ 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Array(v-x.length+1).join(\"0\")+x),y>-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")<n.indexOf(\"-\")?(B&&R?\"(\":\"\")+(P&&R||!B&&R?\"-\":\"\"):(P&&R||!B&&R?\"-\":\"\")+(B&&R?\"(\":\"\"))+(!R&&E&&0!==e?\"+\":\"\")+x+I+(L||\"\")+(k&&!r?k:\"\")+(C||\"\")+(B&&R?\")\":\"\")+w}function p(e,n){i[e]=n}function m(e){o=e;var n=i[e].defaults;n&&n.format&&r.defaultFormat(n.format),n&&n.currencyFormat&&r.defaultCurrencyFormat(n.currencyFormat)}(r=function(e){return r.isNumbro(e)?e=e.value():0===e||void 0===e?e=0:Number(e)||(e=r.fn.unformat(e)),new c(Number(e))}).version=\"1.6.2\",r.isNumbro=function(e){return e instanceof c},r.setLanguage=function(e,n){console.warn(\"`setLanguage` is deprecated since version 1.6.0. Use `setCulture` instead\");var t=e,r=e.split(\"-\")[0],i=null;a[t]||(Object.keys(a).forEach((function(e){i||e.split(\"-\")[0]!==r||(i=e)})),t=i||n||\"en-US\"),m(t)},r.setCulture=function(e,n){var t=e,r=e.split(\"-\")[1],a=null;i[t]||(r&&Object.keys(i).forEach((function(e){a||e.split(\"-\")[1]!==r||(a=e)})),t=a||n||\"en-US\"),m(t)},r.language=function(e,n){if(console.warn(\"`language` is deprecated since version 1.6.0. Use `culture` instead\"),!e)return o;if(e&&!n){if(!a[e])throw new Error(\"Unknown language : \"+e);m(e)}return!n&&a[e]||p(e,n),r},r.culture=function(e,n){if(!e)return o;if(e&&!n){if(!i[e])throw new Error(\"Unknown culture : \"+e);m(e)}return!n&&i[e]||p(e,n),r},r.languageData=function(e){if(console.warn(\"`languageData` is deprecated since version 1.6.0. Use `cultureData` instead\"),!e)return a[o];if(!a[e])throw new Error(\"Unknown language : \"+e);return a[e]},r.cultureData=function(e){if(!e)return i[o];if(!i[e])throw new Error(\"Unknown culture : \"+e);return i[e]},r.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),r.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=r.cultureData(n)}catch(e){c=r.cultureData(r.culture())}return a=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,i=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===a))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(i+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n",
       "      function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof Function&&(i=i()),e.numeric_arg.test(o.type)&&\"number\"!=typeof i&&isNaN(i))throw new TypeError(n(\"[sprintf] expecting number but found %T\",i));switch(e.number.test(o.type)&&(u=i>=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n",
       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(127),s=e(191),r=e(192),c=e(195),_=e(196),m=e(194);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(128),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(193),a=t(194),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s);new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(128),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n",
       "      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(193),s=t(194),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(126),r=e(193),n=e(194);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(177),o=e(182),n=e(198),r=e(199);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n",
       "      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(131),a=t(130),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(127),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(177),s=e(184),o=e(201),a=e(202);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n",
       "      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(130),i=o.__importStar(r(18)),c=r(37);class a extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.invert(r[n],t.loc);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.invert(t.loc,r[n]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=a,a.__name__=\"MercatorTickFormatter\",a.init_MercatorTickFormatter()},\n",
       "      function _(t,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),s=t(126),e=n.__importStar(t(18)),i=t(37);class c extends s.BasicTicker{constructor(t){super(t)}static init_MercatorTicker(){this.define({dimension:[e.LatLon]})}get_ticks_no_defaults(t,o,r,n){if(null==this.dimension)throw new Error(this+\".dimension wasn't configured\");return[t,o]=i.clip_mercator(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,r,n):this._get_ticks_lat(t,o,r,n)}_get_ticks_lon(t,o,r,n){const[s]=i.wgs84_mercator.invert(t,r),[e,c]=i.wgs84_mercator.invert(o,r),_=super.get_ticks_no_defaults(s,e,r,n),a=[];for(const t of _.major)if(i.in_bounds(t,\"lon\")){const[o]=i.wgs84_mercator.compute(t,c);a.push(o)}const m=[];for(const t of _.minor)if(i.in_bounds(t,\"lon\")){const[o]=i.wgs84_mercator.compute(t,c);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,r,n){const[,s]=i.wgs84_mercator.invert(r,t),[e,c]=i.wgs84_mercator.invert(r,o),_=super.get_ticks_no_defaults(s,c,r,n),a=[];for(const t of _.major)if(i.in_bounds(t,\"lat\")){const[,o]=i.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of _.minor)if(i.in_bounds(t,\"lat\")){const[,o]=i.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}r.MercatorTicker=c,c.__name__=\"MercatorTicker\",c.init_MercatorTicker()},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});var t=e(204);o.CustomJS=t.CustomJS;var u=e(206);o.OpenURL=u.OpenURL},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),u=t(205),c=n.__importStar(t(18)),r=t(13),a=t(29);class i extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define({args:[c.Any,{}],code:[c.String,\"\"]})}get names(){return r.keys(this.args)}get values(){return r.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return this.func.apply(t,this.values.concat(t,e))}}s.CustomJS=i,i.__name__=\"CustomJS\",i.init_CustomJS()},\n",
       "      function _(e,c,l){Object.defineProperty(l,\"__esModule\",{value:!0});const a=e(81);class n extends a.Model{constructor(e){super(e)}}l.Callback=n,n.__name__=\"Callback\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(1),i=e(205),s=e(187),r=e(8),c=o.__importStar(e(18));class a extends i.Callback{constructor(e){super(e)}static init_OpenURL(){this.define({url:[c.String,\"http://\"],same_tab:[c.Boolean,!1]})}execute(e,{source:t}){const n=e=>{const n=s.replace_placeholders(this.url,t,e);if(!r.isString(n))throw new Error(\"HTML output is not supported in this context\");this.same_tab?window.location.href=n:window.open(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=a,a.__name__=\"OpenURL\",a.init_OpenURL()},\n",
       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var n=a(77);r.Canvas=n.Canvas;var s=a(208);r.CartesianFrame=s.CartesianFrame},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(209),_=e(146),n=e(157),r=e(158),i=e(210),g=e(98),c=e(212),o=e(13),l=e(11);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,l.assert(null==e.source_range&&null==e.target_range),l.assert(null==t.source_range&&null==t.target_range),this._configure_scales()}_get_ranges(e,t){return new Map(o.entries(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s){const c=new Map;for(const[o,l]of t){if((l instanceof i.DataRange1d||l instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);if(l instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const t=e.clone();t.setv({source_range:l,target_range:s}),c.set(o,t)}return c}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new r.Range1d({start:e.left,end:e.right}),this._y_target=new r.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return o.to_object(this.x_scales)}get yscales(){return o.to_object(this.y_scales)}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(147);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n",
       "      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(211),s=t(90),l=t(19),_=e.__importStar(t(18)),o=e.__importStar(t(79)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n",
       "      function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(99),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n",
       "      function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(213);t.Sizeable=e.Sizeable,t.SizingPolicy=e.SizingPolicy;var i=a(214);t.Layoutable=i.Layoutable,t.LayoutItem=i.LayoutItem;var n=a(215);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var r=a(216);t.Grid=r.Grid,t.Row=r.Row,t.Column=r.Column;var c=a(217);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n",
       "      function _(t,h,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(21),{min:d,max:n}=Math;class w{constructor(t={}){this.width=null!=t.width?t.width:0,this.height=null!=t.height?t.height:0}bounded_to({width:t,height:h}){return new w({width:this.width==1/0&&null!=t?t:this.width,height:this.height==1/0&&null!=h?h:this.height})}expanded_to({width:t,height:h}){return new w({width:t!=1/0?n(this.width,t):this.width,height:h!=1/0?n(this.height,h):this.height})}expand_to({width:t,height:h}){this.width=n(this.width,t),this.height=n(this.height,h)}narrowed_to({width:t,height:h}){return new w({width:d(this.width,t),height:d(this.height,h)})}narrow_to({width:t,height:h}){this.width=d(this.width,t),this.height=d(this.height,h)}grow_by({left:t,right:h,top:i,bottom:e}){const d=this.width+t+h,n=this.height+i+e;return new w({width:d,height:n})}shrink_by({left:t,right:h,top:i,bottom:e}){const d=n(this.width-t-h,0),s=n(this.height-i-e,0);return new w({width:d,height:s})}map(t,h){return new w({width:t(this.width),height:(null!=h?h:t)(this.height)})}}i.Sizeable=w,w.__name__=\"Sizeable\",i.SizingPolicy=e.Enum(\"fixed\",\"fit\",\"min\",\"max\")},\n",
       "      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(213),s=i(79),{min:n,max:g,round:a}=Math;class l{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,l=null!=i.max_height?i.max_height:1/0,_=i.aspect,d=i.margin||{top:0,right:0,bottom:0,left:0},r=!1!==i.visible,w=i.halign||\"start\",o=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:l,aspect:_,margin:d,visible:r,halign:w,valign:o,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:l}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),l=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-l)?(t=s,h=n):(t=g,h=l)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),l=h(g.height),_=this.apply_aspect(s,{width:a,height:l});return Object.assign(Object.assign({},n),_)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:l}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-l})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=l,l.__name__=\"Layoutable\";class _ extends l{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=_,_.__name__=\"LayoutItem\";class d extends l{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=d,d.__name__=\"ContentLayoutable\"},\n",
       "      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(214),r=t(79);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(213),o=t(214),n=t(8),r=t(79),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}});return{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(214),i=e(213),a=e(72);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n",
       "      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(219);u.Expression=a.Expression;var n=e(220);u.Stack=n.Stack;var o=e(221);u.CumSum=o.CumSum},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(81);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(219),s=t(24),o=r.__importStar(t(18));class a extends i.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[o.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,r=new s.NumberArray(n);for(const e of this.fields){const i=t.data[e];if(null!=i)for(let t=0,e=Math.min(n,i.length);t<e;t++)r[t]+=i[t]}return r}}n.Stack=a,a.__name__=\"Stack\",a.init_Stack()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(219),r=e(24),_=i.__importStar(e(18));class o extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[_.String],include_zero:[_.Boolean,!1]})}_v_compute(e){const t=new r.NumberArray(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=o,o.__name__=\"CumSum\",o.init_CumSum()},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(223);t.BooleanFilter=l.BooleanFilter;var i=e(225);t.CustomJSFilter=i.CustomJSFilter;var o=e(224);t.Filter=o.Filter;var F=e(226);t.GroupFilter=F.GroupFilter;var a=e(227);t.IndexFilter=a.IndexFilter},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(224),i=o.__importStar(e(18)),s=e(24);class r extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=e.length,{booleans:t}=this;return null==t?s.Indices.all_set(n):s.Indices.from_booleans(n,t)}}t.BooleanFilter=r,r.__name__=\"BooleanFilter\",r.init_BooleanFilter()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(81);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(1),n=e(224),i=s.__importStar(e(18)),o=e(24),u=e(13),c=e(8),a=e(29);class l extends n.Filter{constructor(e){super(e)}static init_CustomJSFilter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const e=a.use_strict(this.code);return new Function(...this.names,\"source\",e)}compute_indices(e){const t=e.length,r=this.func(...this.values,e);if(null==r)return o.Indices.all_set(t);if(c.isArrayOf(r,c.isInteger))return o.Indices.from_indices(t,r);if(c.isArrayOf(r,c.isBoolean))return o.Indices.from_booleans(t,r);throw new Error(\"expect an array of integers or booleans, or null, got \"+r)}}r.CustomJSFilter=l,l.__name__=\"CustomJSFilter\",l.init_CustomJSFilter()},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(1),i=e(224),o=r.__importStar(e(18)),u=e(24),s=e(19);class c extends i.Filter{constructor(e){super(e)}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(e){const t=e.get_column(this.column_name);if(null==t)return s.logger.warn(`${this}: groupby column '${this.column_name}' not found in the data source`),new u.Indices(e.length,1);{const n=new u.Indices(e.length);for(let e=0;e<n.size;e++)t[e]===this.group&&n.set(e);return n}}}n.GroupFilter=c,c.__name__=\"GroupFilter\",c.init_GroupFilter()},\n",
       "      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),s=e(224),r=t.__importStar(e(18)),c=e(24);class l extends s.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[r.Array,null]})}compute_indices(e){const i=e.length,{indices:n}=this;return null==n?c.Indices.all_set(i):c.Indices.from_indices(i,n)}}n.IndexFilter=l,l.__name__=\"IndexFilter\",l.init_IndexFilter()},\n",
       "      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(130);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(181);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(185);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(229);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(198);a.LogTickFormatter=m.LogTickFormatter;var F=r(201);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(230);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(231);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(131);a.TickFormatter=v.TickFormatter},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(131),i=r.__importStar(t(18)),c=t(13),a=t(29);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n",
       "      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(188)),a=r(131),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n",
       "      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(131),o=t(187),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n",
       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(233);r.AnnularWedge=v.AnnularWedge;var l=a(234);r.Annulus=l.Annulus;var t=a(235);r.Arc=t.Arc;var i=a(236);r.Bezier=i.Bezier;var n=a(237);r.Circle=n.Circle;var u=a(241);r.CenterRotatable=u.CenterRotatable;var c=a(242);r.Ellipse=c.Ellipse;var g=a(243);r.EllipseOval=g.EllipseOval;var A=a(94);r.Glyph=A.Glyph;var p=a(111);r.HArea=p.HArea;var s=a(244);r.HBar=s.HBar;var d=a(246);r.HexTile=d.HexTile;var R=a(247);r.Image=R.Image;var o=a(249);r.ImageRGBA=o.ImageRGBA;var y=a(250);r.ImageURL=y.ImageURL;var h=a(92);r.Line=h.Line;var m=a(252);r.MultiLine=m.MultiLine;var B=a(253);r.MultiPolygons=B.MultiPolygons;var P=a(254);r.Oval=P.Oval;var G=a(110);r.Patch=G.Patch;var H=a(255);r.Patches=H.Patches;var I=a(256);r.Quad=I.Quad;var L=a(257);r.Quadratic=L.Quadratic;var M=a(258);r.Ray=M.Ray;var O=a(259);r.Rect=O.Rect;var x=a(260);r.Segment=x.Segment;var C=a(261);r.Step=C.Step;var E=a(262);r.Text=E.Text;var Q=a(113);r.VArea=Q.VArea;var S=a(263);r.VBar=S.VBar;var T=a(264);r.Wedge=T.Wedge;var V=a(93);r.XYGlyph=V.XYGlyph},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(100),a=e(28),_=e(24),o=i.__importStar(e(18)),d=e(10),h=e(88);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new _.NumberArray(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const d of t)isNaN(s[d]+i[d]+a[d]+_[d]+r[d]+n[d])||(e.translate(s[d],i[d]),e.rotate(r[d]),e.beginPath(),e.moveTo(_[d],0),e.arc(0,0,_[d],0,n[d],o),e.rotate(n[d]),e.lineTo(a[d],0),e.arc(0,0,a[d],0,-n[d],!o),e.closePath(),e.rotate(-n[d]-r[d]),e.translate(-s[d],-i[d]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,o;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,d=s+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(r,d)}const u=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:o})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),d=(n-a)**2+(_-o)**2;d<=t&&d>=s&&u.push(e)}const l=this.model.properties.direction.value(),c=[];for(const e of u){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);d.angle_between(-i,-this._start_angle[e],-this._end_angle[e],l)&&c.push(e)}return new h.Selection({indices:c})}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class l extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[o.Direction,\"anticlock\"],inner_radius:[o.DistanceSpec],outer_radius:[o.DistanceSpec],start_angle:[o.AngleSpec],end_angle:[o.AngleSpec]})}}s.AnnularWedge=l,l.__name__=\"AnnularWedge\",l.init_AnnularWedge()},\n",
       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(93),n=s(28),a=t.__importStar(s(18)),_=s(32),u=s(88);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:n}){for(const a of i)if(!isNaN(e[a]+t[a]+r[a]+n[a])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,a),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[a],t[a],r[a],0,Math.PI,i),s.arc(e[a],t[a],n[a],Math.PI,0,!i);else s.arc(e[a],t[a],r[a],0,2*Math.PI,!0),s.arc(e[a],t[a],n[a],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI),s.moveTo(e[a]+n[a],t[a]),s.arc(e[a],t[a],n[a],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let n,a,_,o;if(\"data\"==this.model.properties.outer_radius.units)n=t-this.max_outer_radius,_=t+this.max_outer_radius,a=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(r,u)}const d=[];for(const s of this.index.indices({x0:n,x1:_,y0:a,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(n-a)**2+(_-u)**2;o<=i&&o>=e&&d.push(s)}return new u.Selection({indices:d})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},n){const a=n+1,_=new Array(a);_[n]=(i+t)/2;const u=new Array(a);u[n]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),d=new Array(a);d[n]=.4*o;const h=new Array(a);h[n]=.8*o,this._render(s,[n],{sx:_,sy:u,sinner_radius:d,souter_radius:h})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class d extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([n.LineVector,n.FillVector]),this.define({inner_radius:[a.DistanceSpec],outer_radius:[a.DistanceSpec]})}}e.Annulus=d,d.__name__=\"Annulus\",d.init_Annulus()},\n",
       "      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(93),n=e(100),a=e(28),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(28),c=e(94),o=e(100),_=e(37),r=s.__importStar(e(18));function a(e,t,i,s,n,c,o,_){const r=[],a=[[],[]];for(let a=0;a<=2;a++){let h,d,x;if(0===a?(d=6*e-12*i+6*n,h=-3*e+9*i-9*n+3*o,x=3*i-3*e):(d=6*t-12*s+6*c,h=-3*t+9*s-9*c+3*_,x=3*s-3*t),Math.abs(h)<1e-12){if(Math.abs(d)<1e-12)continue;const e=-x/d;0<e&&e<1&&r.push(e);continue}const l=d*d-4*x*h,y=Math.sqrt(l);if(l<0)continue;const p=(-d+y)/(2*h);0<p&&p<1&&r.push(p);const f=(-d-y)/(2*h);0<f&&f<1&&r.push(f)}let h=r.length;const d=h;for(;h--;){const d=r[h],x=1-d,l=x*x*x*e+3*x*x*d*i+3*x*d*d*n+d*d*d*o;a[0][h]=l;const y=x*x*x*t+3*x*x*d*s+3*x*d*d*c+d*d*d*_;a[1][h]=y}return a[0][d]=e,a[1][d]=t,a[0][d+1]=o,a[1][d+1]=_,[Math.min(...a[0]),Math.max(...a[1]),Math.max(...a[0]),Math.min(...a[1])]}class h extends c.GlyphView{_project_data(){_.inplace.project_xy(this._x0,this._y0),_.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++)if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx0[i]+this._cy0[i]+this._cx1[i]+this._cy1[i]))e.add_empty();else{const[t,s,n,c]=a(this._x0[i],this._y0[i],this._x1[i],this._y1[i],this._cx0[i],this._cy0[i],this._cx1[i],this._cy1[i]);e.add(t,s,n,c)}}_render(e,t,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:_,scx1:r,scy1:a}){if(this.visuals.line.doit)for(const h of t)isNaN(i[h]+s[h]+n[h]+c[h]+o[h]+_[h]+r[h]+a[h])||(e.beginPath(),e.moveTo(i[h],s[h]),e.bezierCurveTo(o[h],_[h],r[h],a[h],n[h],c[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}scenterxy(){throw new Error(this+\".scenterxy() is not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class d extends c.Glyph{constructor(e){super(e)}static init_Bezier(){this.prototype.default_view=h,this.define({x0:[r.XCoordinateSpec,{field:\"x0\"}],y0:[r.YCoordinateSpec,{field:\"y0\"}],x1:[r.XCoordinateSpec,{field:\"x1\"}],y1:[r.YCoordinateSpec,{field:\"y1\"}],cx0:[r.XCoordinateSpec,{field:\"cx0\"}],cy0:[r.YCoordinateSpec,{field:\"cy0\"}],cx1:[r.XCoordinateSpec,{field:\"cx1\"}],cy1:[r.YCoordinateSpec,{field:\"cy1\"}]}),this.mixins(n.LineVector)}}i.Bezier=d,d.__name__=\"Bezier\",d.init_Bezier()},\n",
       "      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(93),a=s(238),n=s(28),h=t.__importStar(s(101)),d=t.__importStar(s(18)),l=s(9),_=s(12),c=s(88);class o extends r.XYGlyphView{initialize(){super.initialize();const{webgl:s}=this.renderer.plot_view.canvas_view;null!=s&&(this.glglyph=new a.CircleGL(s.gl,this))}_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,l=i.end;[t,a]=this.renderer.yscale.r_invert(d,l),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,l=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,l)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,l=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,l)}const l=this.index.indices({x0:a,x1:n,y0:h,y1:d}),_=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of l){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]);(e-a)**2+(n-h)**2<=i&&_.push(s)}else for(const s of l){const t=this.sradius[s]**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new c.Selection({indices:_})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new c.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new c.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=l.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];h.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new c.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const l=new Array(n);l[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:l})}}e.CircleView=o,o.__name__=\"CircleView\";class u extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=o,this.mixins([n.LineVector,n.FillVector]),this.define({angle:[d.AngleSpec,0],size:[d.DistanceSpec,{units:\"screen\",value:4}],radius:[d.DistanceSpec,void 0,{optional:!0}],radius_dimension:[d.RadiusDimension,\"x\"]})}}e.Circle=u,u.__name__=\"Circle\",u.init_Circle()},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(103),r=t(107),o=t(239),_=t(240),l=t(237),h=t(12),n=t(19),g=t(22);function u(t,e,s,i,a,r){if(a.doit)if(a[r].is_value)e.used=!1,t.set_attribute(s,\"float\",[a[r].value()]);else{e.used=!0;const o=new Float32Array(a.get_array(r));e.set_size(4*i),e.set_data(0,o),t.set_attribute(s,\"float\",e)}else e.used=!1,t.set_attribute(s,\"float\",[0])}function f(t,e,s,i,a,r){const o=r+\"_color\",_=r+\"_alpha\";if(a.doit){let r,l;if(e.used=!0,a[o].is_value){const t=g.encode_rgba(g.color2rgba(a[o].value())),e=new Uint32Array(i);e.fill(t),r=e}else r=a.get_array(o);if(a[_].is_value){const t=a[_].value(),e=new Float32Array(i);e.fill(t),l=e}else l=a.get_array(_);const h=new Float32Array(4*i);for(let t=0,e=i;t<e;t++){const e=g.decode_rgba(r[t]);1==e[3]&&(e[3]=l[t]),h.set(e,4*t)}e.set_size(4*i*4),e.set_data(0,h),t.set_attribute(s,\"vec4\",e)}else e.used=!1,t.set_attribute(s,\"vec4\",[0,0,0,0])}s.attach_float=u,s.attach_color=f;class d extends r.BaseGLGlyph{init(){const{gl:t}=this,e=o.vertex_shader,s=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(e,s),this.vbo_sx=new a.VertexBuffer(t),this.prog.set_attribute(\"a_sx\",\"float\",this.vbo_sx),this.vbo_sy=new a.VertexBuffer(t),this.prog.set_attribute(\"a_sy\",\"float\",this.vbo_sy),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,e,s){const i=e.glglyph,{nvertices:a}=i;if(i.data_changed&&(i._set_data(a),this.glyph instanceof l.CircleView&&null!=this.glyph._radius&&this.vbo_s.set_data(0,h.map(this.glyph.sradius,t=>2*t)),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_attribute(\"a_sx\",\"float\",i.vbo_sx),this.prog.set_attribute(\"a_sy\",\"float\",i.vbo_sy),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const e=window.navigator.userAgent;e.indexOf(\"MSIE \")+e.indexOf(\"Trident/\")+e.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const e=64e3,s=[];for(let t=0,i=Math.ceil(a/e);t<i;t++)s.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%e;s[Math.floor(t[i]/e)].push(a)}for(let t=0,a=s.length;t<a;t++){const a=new Uint16Array(s[t]),r=t*e*4;0!==a.length&&(this.prog.set_attribute(\"a_sx\",\"float\",i.vbo_sx,0,r),this.prog.set_attribute(\"a_sy\",\"float\",i.vbo_sy,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const e=4*t;this.vbo_sx.set_size(e),this.vbo_sy.set_size(e),this.vbo_a.set_size(e),this.vbo_s.set_size(e),this.vbo_sx.set_data(0,this.glyph.sx),this.vbo_sy.set_data(0,this.glyph.sy),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof l.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,h.map(this.glyph.sradius,t=>2*t)):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){u(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),f(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),f(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function b(t){return class extends d{get _marker_code(){return t}}}s.MarkerGL=d,d.__name__=\"MarkerGL\";const c=i.__importStar(t(240));s.AsteriskGL=b(c.asterisk),s.CircleGL=b(c.circle),s.CircleCrossGL=b(c.circlecross),s.CircleXGL=b(c.circlex),s.CrossGL=b(c.cross),s.DiamondGL=b(c.diamond),s.DiamondCrossGL=b(c.diamondcross),s.HexGL=b(c.hex),s.InvertedTriangleGL=b(c.invertedtriangle),s.SquareGL=b(c.square),s.SquareCrossGL=b(c.squarecross),s.SquareXGL=b(c.squarex),s.TriangleGL=b(c.triangle),s.XGL=b(c.x)},\n",
       "      function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_sx;\\nattribute float a_sy;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    vec2 pos = vec2(a_sx, a_sy);  // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n",
       "      function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(93),l=e(28),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n",
       "      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(243);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n",
       "      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(241),a=e.__importStar(t(101)),r=t(88);class n extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:a,_angle:r}){for(const n of s)isNaN(i[n]+e[n]+h[n]+a[n]+r[n])||(t.beginPath(),t.ellipse(i[n],e[n],h[n]/2,a[n]/2,r[n],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,n),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,n),t.stroke()))}_hit_point(t){let s,i,e,h,n,_,l,d,o;const{sx:x,sy:m}=t,w=this.renderer.xscale.invert(x),c=this.renderer.yscale.invert(m);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(_=x-this.max_width,l=x+this.max_width,[s,i]=this.renderer.xscale.r_invert(_,l)),\"data\"==this.model.properties.height.units?(e=c-this.max_height,h=c+this.max_height):(d=m-this.max_height,o=m+this.max_height,[e,h]=this.renderer.yscale.r_invert(d,o));const p=this.index.indices({x0:s,x1:i,y0:e,y1:h}),y=[];for(const t of p)n=a.point_in_ellipse(x,m,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new r.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},a){const r=a+1,n=new Array(r);n[a]=(s+e)/2;const _=new Array(r);_[a]=(i+h)/2;const l=this.sw[a]/this.sh[a],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(r),x=new Array(r);l>1?(o[a]=d,x[a]=d/l):(o[a]=d*l,x[a]=d),this._render(t,[a],{sx:n,sy:_,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=n,n.__name__=\"EllipseOvalView\";class _ extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=_,_.__name__=\"EllipseOval\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),h=t(245),r=t(24),_=i.__importStar(t(18));class a extends h.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new r.NumberArray(t),this.sbottom=new r.NumberArray(t);for(let e=0;e<t;e++)this.stop[e]=this.sy[e]-this.sh[e]/2,this.sbottom[e]=this.sy[e]+this.sh[e]/2;this._clamp_viewport()}}s.HBarView=a,a.__name__=\"HBarView\";class o extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=a,this.define({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})}}s.HBar=o,o.__name__=\"HBar\",o.init_HBar()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(28),r=t(94),n=t(100),a=t(88);class h extends r.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:a};case\"bottom_center\":return{x:(s+r)/2,y:a};case\"bottom_right\":return{x:r,y:a};case\"center_left\":return{x:s,y:(n+a)/2};case\"center\":return{x:(s+r)/2,y:(n+a)/2};case\"center_right\":return{x:r,y:(n+a)/2};default:return null}}_index_data(t){const{min:e,max:i}=Math,{data_size:s}=this;for(let r=0;r<s;r++){const[s,n,a,h]=this._lrtb(r);isNaN(s+n+a+h)||!isFinite(s+n+a+h)?t.add_empty():t.add(e(s,n),e(a,h),i(n,s),i(a,h))}}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const a of e)isNaN(i[a]+r[a]+s[a]+n[a])||(t.rect(i[a],r[a],s[a]-i[a],n[a]-r[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,a),t.beginPath(),t.rect(i[a],r[a],s[a]-i[a],n[a]-r[a]),t.fill()),this.visuals.hatch.doit2(t,a,()=>{t.beginPath(),t.rect(i[a],r[a],s[a]-i[a],n[a]-r[a]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,a),t.beginPath(),t.rect(i[a],r[a],s[a]-i[a],n[a]-r[a]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=[...this.index.indices({x0:s,y0:r,x1:s,y1:r})];return new a.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=[...this.index.indices({x0:r,y0:t,x1:n,y1:t})]}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=[...this.index.indices({x0:t,y0:r,x1:t,y1:n})]}return new a.Selection({indices:s})}draw_legend_for_index(t,e,i){n.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=h,h.__name__=\"BoxView\";class o extends r.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=o,o.__name__=\"Box\",o.init_Box()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(94),n=i.__importStar(e(101)),a=i.__importStar(e(18)),o=e(28),c=e(24),_=e(37),h=e(100),l=e(88);class d extends r.GlyphView{scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const e=this._q.length,{orientation:t,size:s,aspect_scale:i}=this.model;this._x=new c.NumberArray(e),this._y=new c.NumberArray(e);const r=Math.sqrt(3);if(\"pointytop\"==t)for(let t=0;t<e;t++)this._x[t]=s*r*(this._q[t]+this._r[t]/2)/i,this._y[t]=3*-s/2*this._r[t];else for(let t=0;t<e;t++)this._x[t]=3*s/2*this._q[t],this._y[t]=-s*r*(this._r[t]+this._q[t]/2)*i}_project_data(){_.inplace.project_xy(this._x,this._y)}_index_data(e){let t=this.model.size,s=Math.sqrt(3)*t/2;\"flattop\"==this.model.orientation?([s,t]=[t,s],t*=this.model.aspect_scale):s/=this.model.aspect_scale;const{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y[r];isNaN(i+n)||!isFinite(i+n)?e.add_empty():e.add(i-s,n-t,i+s,n+t)}}map_data(){[this.sx,this.sy]=this.renderer.coordinates.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,a=r/2;return[[0,-n,-n,0,n,n],[r,a,-a,-r,-a,a]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,a=r/2;return[[r,a,-a,-r,-a,a],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:a}){for(const o of t)if(!isNaN(s[o]+i[o]+a[o])){e.translate(s[o],i[o]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*a[o],n[t]*a[o]);e.closePath(),e.translate(-s[o],-i[o]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,o),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,o),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),a=this.index.indices({x0:i,y0:r,x1:i,y1:r}),o=[];for(const e of a)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&o.push(e);return new l.Selection({indices:o})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=[...this.index.indices({x0:r,y0:e,x1:n,y1:e})]}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=[...this.index.indices({x0:e,y0:r,x1:e,y1:n})]}return new l.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(t,s),[o,c]=this.renderer.yscale.r_invert(i,r),_=[...this.index.indices({x0:n,x1:a,y0:o,y1:c})];return new l.Selection({indices:_})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=d,d.__name__=\"HexTileView\";class x extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=d,this.mixins([o.LineVector,o.FillVector]),this.define({r:[a.NumberSpec],q:[a.NumberSpec],size:[a.Number,1],aspect_scale:[a.Number,1],scale:[a.NumberSpec,1],orientation:[a.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=x,x.__name__=\"HexTile\",x.init_HexTile()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(248),n=e(141),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(93),h=e(24),_=i.__importStar(e(18)),n=e(88),r=e(9),d=e(30),l=e(11);class g extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:s,sx:i,sy:a,sw:h,sh:_}){const n=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const n of t){if(null==s[n]||isNaN(i[n]+a[n]+h[n]+_[n]))continue;const t=a[n];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(s[n],0|i[n],0|a[n],h[n],_[n]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(n)}_set_data(e){this._set_width_heigh_data();for(let t=0,s=this._image.length;t<s;t++){if(null!=e&&e.indexOf(t)<0)continue;const s=this._image[t];let i;d.is_NDArray(s)?(l.assert(2==s.dimension,\"expected a 2D array\"),i=s,this._height[t]=s.shape[0],this._width[t]=s.shape[1]):(i=r.concat(s),this._height[t]=s.length,this._width[t]=s[0].length);const a=this._flat_img_to_buf8(i);this._set_image_data_from_buffer(t,a)}}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const[t,i,a,h]=this._lrtb(s);isNaN(t+i+a+h)||!isFinite(t+i+a+h)?e.add_empty():e.add(t,h,i,a)}}_lrtb(e){const t=this.renderer.xscale.source_range,s=this._x[e],i=t.is_reversed?s-this._dw[e]:s+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],_=a.is_reversed?h-this._dh[e]:h+this._dh[e],[n,r]=s<i?[s,i]:[i,s],[d,l]=h<_?[h,_]:[_,h];return[n,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new h.NumberArray(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new h.NumberArray(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const s=this._get_or_create_canvas(e),i=s.getContext(\"2d\"),a=i.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),i.putImageData(a,0,0),this.image_data[e]=s}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,s){const[i,a,h,_]=this._lrtb(e),n=this._width[e],r=this._height[e],d=(a-i)/n,l=(h-_)/r;let g=Math.floor((t-i)/d),o=Math.floor((s-_)/l);return this.renderer.xscale.source_range.is_reversed&&(g=n-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*n+g}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(s),h=this.index.indices({x0:i,x1:i,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&s!=1/0&&_.image_indices.push(this._image_index(e,i,a));return _}}s.ImageBaseView=g,g.__name__=\"ImageBaseView\";class o extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[_.NDArraySpec],dw:[_.DistanceSpec],dh:[_.DistanceSpec],dilate:[_.Boolean,!1],global_alpha:[_.Number,1]})}}s.ImageBase=o,o.__name__=\"ImageBase\",o.init_ImageBase()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(248),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),i=e(93),a=e(24),n=r.__importStar(e(18)),h=e(12),o=e(251);class _ extends i.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++)e.add_empty()}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=h.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,r=this._url.length;s<r;s++){const r=this._url[s];null!=r&&\"\"!=r&&new o.ImageLoader(r,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,r=\"data\"==this.model.properties.h.units,i=this._x.length,n=new a.NumberArray(s?2*i:i),_=new a.NumberArray(r?2*i:i),{anchor:c}=this.model;function l(e,t){switch(c){case\"top_left\":case\"bottom_left\":case\"center_left\":return[e,e+t];case\"top_center\":case\"bottom_center\":case\"center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"center_right\":return[e-t,e]}}function d(e,t){switch(c){case\"top_left\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"center_left\":case\"center\":case\"center_right\":return[e+t/2,e-t/2]}}if(s)for(let e=0;e<i;e++)[n[e],n[i+e]]=l(this._x[e],this._w[e]);else n.set(this._x,0);if(r)for(let e=0;e<i;e++)[_[e],_[i+e]]=d(this._y[e],this._h[e]);else _.set(this._y,0);const[m,u]=h.minmax(n),[p,g]=h.minmax(_);this._bounds_rect={x0:m,x1:u,y0:p,y1:g}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:h.map(this._x,()=>NaN),t=null!=this.model.h?this._h:h.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:r,sy:i,sw:a,sh:n,_angle:h}){const{frame:o}=this.renderer.plot_view;e.rect(o.bbox.left+1,o.bbox.top+1,o.bbox.width-2,o.bbox.height-2),e.clip();let _=!0;for(const o of t){if(isNaN(r[o]+i[o]+h[o]))continue;const t=s[o];null!=t?this._render_image(e,o,t,r,i,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,r,i){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-r/2,s];case\"top_right\":return[t-r,s];case\"center_right\":return[t-r,s-i/2];case\"bottom_right\":return[t-r,s-i];case\"bottom_center\":return[t-r/2,s-i];case\"bottom_left\":return[t,s-i];case\"center_left\":return[t,s-i/2];case\"center\":return[t-r/2,s-i/2]}}_render_image(e,t,s,r,i,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:o}=this.model,[_,c]=this._final_sx_sy(o,r[t],i[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const l=a[t]/2,d=n[t]/2;h[t]?(e.translate(_,c),e.translate(l,d),e.rotate(h[t]),e.translate(-l,-d),e.drawImage(s,0,0,a[t],n[t]),e.translate(l,d),e.rotate(-h[t]),e.translate(-l,-d),e.translate(-_,-c)):e.drawImage(s,_,c,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class c extends i.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[n.StringSpec],anchor:[n.Anchor,\"top_left\"],global_alpha:[n.Number,1],angle:[n.AngleSpec,0],w:[n.DistanceSpec],h:[n.DistanceSpec],dilate:[n.Boolean,!1],retry_attempts:[n.Number,0],retry_timeout:[n.Number,0]})}}s.ImageURL=c,c.__name__=\"ImageURL\",c.init_ImageURL()},\n",
       "      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(19);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(37),o=e(28),l=s.__importStar(e(101)),r=s.__importStar(e(18)),_=e(12),c=e(13),a=e(94),h=e(100),d=e(88);class y extends a.GlyphView{_project_data(){n.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++){const t=this._xs.get(i);if(0==t.length){e.add_empty();continue}const s=this._ys.get(i);if(0==s.length){e.add_empty();continue}const[n,o]=_.minmax(t),[l,r]=_.minmax(s);e.add(n,l,o,r)}}_render(e,t,{sxs:i,sys:s}){for(const n of t){const t=i.get(n),o=s.get(n);this.visuals.line.set_vectorize(e,n);for(let i=0,s=t.length;i<s;i++)0!=i?isNaN(t[i])||isNaN(o[i])?(e.stroke(),e.beginPath()):e.lineTo(t[i],o[i]):(e.beginPath(),e.moveTo(t[i],o[i]));e.stroke()}}_hit_point(e){const t={x:e.sx,y:e.sy};let i=9999;const s=new Map;for(let e=0,n=this.sxs.length;e<n;e++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2),o=this.sxs.get(e),r=this.sys.get(e);let _=null;for(let e=0,s=o.length-1;e<s;e++){const s={x:o[e],y:r[e]},c={x:o[e+1],y:r[e+1]},a=l.dist_to_segment(t,s,c);a<n&&a<i&&(i=a,_=[e])}null!=_&&s.set(e,_)}return new d.Selection({indices:[...s.keys()],multiline_indices:c.to_object(s)})}_hit_span(e){const{sx:t,sy:i}=e;let s,n;\"v\"==e.direction?(s=this.renderer.yscale.invert(i),n=this._ys):(s=this.renderer.xscale.invert(t),n=this._xs);const o=new Map;for(let e=0,t=n.length;e<t;e++){const t=n.get(e),i=[];for(let e=0,n=t.length-1;e<n;e++)t[e]<=s&&s<=t[e+1]&&i.push(e);i.length>0&&o.set(e,i)}return new d.Selection({indices:[...o.keys()],multiline_indices:c.to_object(o)})}get_interpolation_hit(e,t,i){const s=this._xs.get(e),n=this._ys.get(e),o=s[t],l=n[t],r=s[t+1],_=n[t+1];return h.line_interpolation(this.renderer,i,o,l,r,_)}draw_legend_for_index(e,t,i){h.generic_line_legend(this.visuals,e,t,i)}scenterxy(){throw new Error(this+\".scenterxy() is not implemented\")}}i.MultiLineView=y,y.__name__=\"MultiLineView\";class x extends a.Glyph{constructor(e){super(e)}static init_MultiLine(){this.prototype.default_view=y,this.define({xs:[r.XCoordinateSeqSpec,{field:\"xs\"}],ys:[r.YCoordinateSeqSpec,{field:\"ys\"}]}),this.mixins(o.LineVector)}}i.MultiLine=x,x.__name__=\"MultiLine\",x.init_MultiLine()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(95),o=e(94),r=e(100),l=e(12),h=e(12),_=e(28),a=i.__importStar(e(101)),d=i.__importStar(e(18)),c=e(88),x=e(11);class y extends o.GlyphView{_project_data(){}_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let n=0;n<i;n++){const i=this._xs[n],o=this._ys[n];if(0==i.length||0==o.length){e.add_empty();continue}let r=1/0,h=-1/0,_=1/0,a=-1/0;for(let e=0,n=i.length;e<n;e++){const n=i[e][0],d=o[e][0];if(0!=n.length&&0!=d.length){const[e,i]=l.minmax(n),[o,c]=l.minmax(d);r=t(r,e),h=s(h,i),_=t(_,o),a=s(a,c)}}isFinite(r+h+_+a)?e.add(r,_,h,a):e.add_empty()}this._hole_index=this._index_hole_data()}_index_hole_data(){const{min:e,max:t}=Math,{data_size:s}=this,i=new n.SpatialIndex(s);for(let n=0;n<s;n++){const s=this._xs[n],o=this._ys[n];if(0==s.length||0==o.length){i.add_empty();continue}let r=1/0,h=-1/0,_=1/0,a=-1/0;for(let i=0,n=s.length;i<n;i++){const n=s[i],d=o[i];if(n.length>1&&d.length>1)for(let s=1,i=n.length;s<i;s++){const[i,o]=l.minmax(n[s]),[c,x]=l.minmax(d[s]);r=e(r,i),h=t(h,o),_=e(_,c),a=t(a,x)}}isFinite(r+h+_+a)?i.add(r,_,h,a):i.add_empty()}return i.finish(),i}_mask_data(){const e=this.renderer.plot_view.frame.x_range,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_range,[n,o]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:o})}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,o=t[i].length;n<o;n++){const o=t[i][n],r=s[i][n];for(let t=0,s=o.length;t<s;t++)0!=t?e.lineTo(o[t],r[t]):e.moveTo(o[t],r[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,o]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,o),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,o),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,o),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,o=[t,s,s,t],r=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(const e of x){const t=this.sxs[e],s=this.sys[e];let i=!0;for(let e=0,n=t.length;e<n;e++){for(let n=0,l=t[e][0].length;n<l;n++){const l=t[e][0][n],h=s[e][0][n];if(!a.point_in_poly(l,h,o,r)){i=!1;break}}if(!i)break}i&&y.push(e)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:n,x1:i,y1:n}),r=this._hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(const e of o){const i=this.sxs[e],n=this.sys[e];for(let o=0,h=i.length;o<h;o++){const h=i[o].length;if(a.point_in_poly(t,s,i[o][0],n[o][0]))if(1==h)l.push(e);else if(r.get(e)){if(h>1){let r=!1;for(let e=1;e<h;e++){const l=i[o][e],h=n[o][e];if(a.point_in_poly(t,s,l,h)){r=!0;break}}r||l.push(e)}}else l.push(e)}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterxy(e,t,s){if(1==this.sxs[e].length){return[this._get_snap_coord(this.sxs[e][0][0]),this._get_snap_coord(this.sys[e][0][0])]}{const i=this.sxs[e],n=this.sys[e];for(let e=0,o=i.length;e<o;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0])){return[this._get_snap_coord(i[e][0]),this._get_snap_coord(n[e][0])]}}x.unreachable()}map_data(){const e=this._xs.length;this.sxs=new Array(e),this.sys=new Array(e);for(let t=0;t<e;t++){const e=this._xs[t].length;this.sxs[t]=new Array(e),this.sys[t]=new Array(e);for(let s=0;s<e;s++){const e=this._xs[t][s].length;this.sxs[t][s]=new Array(e),this.sys[t][s]=new Array(e);for(let i=0;i<e;i++){const[e,n]=this.renderer.coordinates.map_to_screen(this._xs[t][s][i],this._ys[t][s][i]);this.sxs[t][s][i]=e,this.sys[t][s][i]=n}}}}draw_legend_for_index(e,t,s){r.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends o.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.define({xs:[d.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(243);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(94),r=e(100),o=e(12),a=e(28),_=i.__importStar(e(101)),c=i.__importStar(e(18)),l=e(88),h=e(11),d=e(37);class y extends n.GlyphView{_project_data(){d.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s);if(0==t.length)e.add_empty();else{const[s,n]=o.minmax(t),[r,a]=o.minmax(i);e.add(s,r,n,a)}}}_mask_data(){const e=this.renderer.plot_view.frame.x_range,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_range,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r})}_inner_loop(e,t,s,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+s[n])?(e.closePath(),i.apply(e),e.beginPath()):e.lineTo(t[n],s[n]):(e.beginPath(),e.moveTo(t[n],s[n]));e.closePath(),i.call(e)}_render(e,t,{sxs:s,sys:i}){for(const n of t){const t=s.get(n),r=i.get(n);this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r,e.fill)),this.visuals.hatch.doit2(e,n,()=>this._inner_loop(e,t,r,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r,e.stroke))}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[a,c]=this.renderer.xscale.r_invert(t,s),[h,d]=this.renderer.yscale.r_invert(i,n),y=this.index.indices({x0:a,x1:c,y0:h,y1:d}),p=[];for(const e of y){const t=this.sxs.get(e),s=this.sys.get(e);let i=!0;for(let e=0,n=t.length;e<n;e++){const n=t[e],a=s[e];if(!_.point_in_poly(n,a,r,o)){i=!1;break}}i&&p.push(e)}return new l.Selection({indices:p})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(const e of r){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;for(let a=0,c=0;;c++){if(isNaN(i[c])||c==r){const r=i.subarray(a,c),l=n.subarray(a,c);if(_.point_in_poly(t,s,r,l)){o.push(e);break}a=c+1}if(c==r)break}}return new l.Selection({indices:o})}_get_snap_coord(e){return o.sum(e)/e.length}scenterxy(e,t,s){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;let o=!1;for(let e=0,a=0;;a++){const c=isNaN(i[a]);if(o=o||c,a==r&&!o){return[this._get_snap_coord(i),this._get_snap_coord(n)]}if(c||a==r){const r=i.subarray(e,a),o=n.subarray(e,a);if(_.point_in_poly(t,s,r,o)){return[this._get_snap_coord(r),this._get_snap_coord(o)]}e=a+1}if(a==r)break}h.unreachable()}draw_legend_for_index(e,t,s){r.generic_area_legend(this.visuals,e,t,s)}}s.PatchesView=y,y.__name__=\"PatchesView\";class p extends n.Glyph{constructor(e){super(e)}static init_Patches(){this.prototype.default_view=y,this.define({xs:[c.XCoordinateSeqSpec,{field:\"xs\"}],ys:[c.YCoordinateSeqSpec,{field:\"ys\"}]}),this.mixins([a.LineVector,a.FillVector,a.HatchVector])}}s.Patches=p,p.__name__=\"Patches\",p.init_Patches()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),s=t(245),r=o.__importStar(t(18));class _ extends s.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}i.QuadView=_,_.__name__=\"QuadView\";class d extends s.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.define({right:[r.XCoordinateSpec,{field:\"right\"}],bottom:[r.YCoordinateSpec,{field:\"bottom\"}],left:[r.XCoordinateSpec,{field:\"left\"}],top:[r.YCoordinateSpec,{field:\"top\"}]})}}i.Quad=d,d.__name__=\"Quad\",d.init_Quad()},\n",
       "      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(1),a=i(28),_=i(37),c=i(94),n=i(100),r=s.__importStar(i(18));function o(i,e,t){if(e==(i+t)/2)return[i,t];{const s=(i-e)/(i-2*e+t),a=i*(1-s)**2+2*e*(1-s)*s+t*s**2;return[Math.min(i,t,a),Math.max(i,t,a)]}}class d extends c.GlyphView{_project_data(){_.inplace.project_xy(this._x0,this._y0),_.inplace.project_xy(this._x1,this._y1)}_index_data(i){const{data_size:e}=this;for(let t=0;t<e;t++)if(isNaN(this._x0[t]+this._x1[t]+this._y0[t]+this._y1[t]+this._cx[t]+this._cy[t]))i.add_empty();else{const[e,s]=o(this._x0[t],this._cx[t],this._x1[t]),[a,_]=o(this._y0[t],this._cy[t],this._y1[t]);i.add(e,a,s,_)}}_render(i,e,{sx0:t,sy0:s,sx1:a,sy1:_,scx:c,scy:n}){if(this.visuals.line.doit)for(const r of e)isNaN(t[r]+s[r]+a[r]+_[r]+c[r]+n[r])||(i.beginPath(),i.moveTo(t[r],s[r]),i.quadraticCurveTo(c[r],n[r],a[r],_[r]),this.visuals.line.set_vectorize(i,r),i.stroke())}draw_legend_for_index(i,e,t){n.generic_line_legend(this.visuals,i,e,t)}scenterxy(){throw new Error(this+\".scenterxy() is not implemented\")}}t.QuadraticView=d,d.__name__=\"QuadraticView\";class h extends c.Glyph{constructor(i){super(i)}static init_Quadratic(){this.prototype.default_view=d,this.define({x0:[r.XCoordinateSpec,{field:\"x0\"}],y0:[r.YCoordinateSpec,{field:\"y0\"}],x1:[r.XCoordinateSpec,{field:\"x1\"}],y1:[r.YCoordinateSpec,{field:\"y1\"}],cx:[r.XCoordinateSpec,{field:\"cx\"}],cy:[r.YCoordinateSpec,{field:\"cy\"}]}),this.mixins(a.LineVector)}}t.Quadratic=h,h.__name__=\"Quadratic\",h.init_Quadratic()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(93),a=e(100),r=e(28),l=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const r=2*(this.renderer.plot_view.frame.bbox.width+this.renderer.plot_view.frame.bbox.height);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=r);for(const r of t)isNaN(i[r]+s[r]+a[r]+n[r])||(e.translate(i[r],s[r]),e.rotate(a[r]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[r],0),this.visuals.line.set_vectorize(e,r),e.stroke(),e.rotate(-a[r]),e.translate(-i[r],-s[r]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(r.LineVector),this.define({length:[l.DistanceSpec],angle:[l.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(241),r=t(100),a=t(24),n=i.__importStar(t(18)),_=t(12),o=t(88);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new a.NumberArray(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new a.NumberArray(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new a.NumberArray(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:r,sw:a,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const o of s)isNaN(e[o]+i[o]+h[o]+r[o]+a[o]+n[o]+_[o])||(this.visuals.fill.set_vectorize(t,o),_[o]?(t.translate(e[o],i[o]),t.rotate(_[o]),t.fillRect(-a[o]/2,-n[o]/2,a[o],n[o]),t.rotate(-_[o]),t.translate(-e[o],-i[o])):t.fillRect(h[o],r[o],a[o],n[o]));if(this.visuals.line.doit){t.beginPath();for(const o of s)isNaN(e[o]+i[o]+h[o]+r[o]+a[o]+n[o]+_[o])||0!=a[o]&&0!=n[o]&&(_[o]?(t.translate(e[o],i[o]),t.rotate(_[o]),t.rect(-a[o]/2,-n[o]/2,a[o],n[o]),t.rotate(-_[o]),t.translate(-e[o],-i[o])):t.rect(h[o],r[o],a[o],n[o]),this.visuals.line.set_vectorize(t,o),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),r=this.sx0.length,n=new a.NumberArray(r);for(let t=0;t<r;t++)n[t]=this.sx0[t]+this.sw[t]/2;const l=new a.NumberArray(r);for(let t=0;t<r;t++)l[t]=this.sy1[t]+this.sh[t]/2;const d=_.max(this._ddist(0,n,this.ssemi_diag)),c=_.max(this._ddist(1,l,this.ssemi_diag)),x=i-d,m=i+d,y=h-c,w=h+c;let f,u;const g=[];for(const t of this.index.indices({x0:x,x1:m,y0:y,y1:w})){if(this._angle[t]){const i=Math.sin(-this._angle[t]),h=Math.cos(-this._angle[t]),r=h*(s-this.sx[t])-i*(e-this.sy[t])+this.sx[t],a=i*(s-this.sx[t])+h*(e-this.sy[t])+this.sy[t];s=r,e=a,f=Math.abs(this.sx[t]-s)<=this.sw[t]/2,u=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else{const i=s-this.sx0[t],h=e-this.sy1[t];f=0<=i&&i<=this.sw[t],u=0<=h&&h<=this.sh[t]}f&&u&&g.push(t)}return new o.Selection({indices:g})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),r=new Float64Array(i);for(let e=0;e<i;e++)h[e]=t[e]-s[e]/2,r[e]=t[e]+s[e]/2;const a=e.v_compute(h),n=e.v_compute(r),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let o=a;for(let t=0;t<i;t++){const s=a[t],e=n[t];if(!isNaN(s+e)&&s!=e){o=s<e?a:n;break}}return[_,o]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,r=h.length,n=new a.NumberArray(r);for(let t=0;t<r;t++)n[t]=h[t]+e[t];const _=i.v_invert(h),o=i.v_invert(n),l=_.length,d=new a.NumberArray(l);for(let t=0;t<l;t++)d[t]=Math.abs(o[t]-_[t]);return d}draw_legend_for_index(t,s,e){r.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class d extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[n.Boolean,!1]})}}e.Rect=d,d.__name__=\"Rect\",d.init_Rect()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=i.__importStar(e(101)),r=i.__importStar(e(18)),_=e(28),h=e(37),a=e(94),o=e(100),c=e(88);class d extends a.GlyphView{_project_data(){h.inplace.project_xy(this._x0,this._y0),h.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let n=0;n<i;n++){const i=this._x0[n],r=this._x1[n],_=this._y0[n],h=this._y1[n];isNaN(i+r+_+h)?e.add_empty():e.add(t(i,r),t(_,h),s(i,r),s(_,h))}}_render(e,t,{sx0:s,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const _ of t)isNaN(s[_]+i[_]+n[_]+r[_])||(e.beginPath(),e.moveTo(s[_],i[_]),e.lineTo(n[_],r[_]),this.visuals.line.set_vectorize(e,_),e.stroke())}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[r,_]=this.renderer.xscale.r_invert(t-2,t+2),[h,a]=this.renderer.yscale.r_invert(s-2,s+2),o=this.index.indices({x0:r,y0:h,x1:_,y1:a}),d=[];for(const e of o){const t=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};n.dist_to_segment_squared(i,s,r)<t&&d.push(e)}return new c.Selection({indices:d})}_hit_span(e){const[t,s]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,_,h;\"v\"==e.direction?(h=this.renderer.yscale.invert(n),[r,_]=[this._y0,this._y1]):(h=this.renderer.xscale.invert(i),[r,_]=[this._x0,this._x1]);const a=[],[o,d]=this.renderer.xscale.r_invert(t.start,t.end),[x,l]=this.renderer.yscale.r_invert(s.start,s.end),y=this.index.indices({x0:o,y0:x,x1:d,y1:l});for(const t of y){(r[t]<=h&&h<=_[t]||_[t]<=h&&h<=r[t])&&a.push(t);const s=1.5+this.visuals.line.cache_select(\"line_width\",t)/2;r[t]==_[t]&&(\"h\"==e.direction?Math.abs(this.sx0[t]-i)<=s&&a.push(t):Math.abs(this.sy0[t]-n)<=s&&a.push(t))}return new c.Selection({indices:a})}scenterxy(e){return[(this.sx0[e]+this.sx1[e])/2,(this.sy0[e]+this.sy1[e])/2]}draw_legend_for_index(e,t,s){o.generic_line_legend(this.visuals,e,t,s)}}s.SegmentView=d,d.__name__=\"SegmentView\";class x extends a.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=d,this.define({x0:[r.XCoordinateSpec,{field:\"x0\"}],y0:[r.YCoordinateSpec,{field:\"y0\"}],x1:[r.XCoordinateSpec,{field:\"x1\"}],y1:[r.YCoordinateSpec,{field:\"y1\"}]}),this.mixins(_.LineVector)}}s.Segment=x,x.__name__=\"Segment\",x.init_Segment()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(93),o=e(100),r=e(28),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),n=t(93),_=t(28),o=i.__importStar(t(101)),h=i.__importStar(t(18)),l=t(159),a=t(11),r=t(88);class c extends n.XYGlyphView{_rotate_point(t,s,e,i,n){return[(t-e)*Math.cos(n)-(s-i)*Math.sin(n)+e,(t-e)*Math.sin(n)+(s-i)*Math.cos(n)+i]}_text_bounds(t,s,e,i){return[[t,t+e,t+e,t,t],[s,s,s-i,s-i,s]]}_render(t,s,{sx:e,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const a of s)if(this._sxs[a]=[],this._sys[a]=[],!isNaN(e[a]+i[a]+n[a]+_[a]+o[a])&&null!=h[a]&&this.visuals.text.doit){const s=\"\"+h[a];t.save(),t.translate(e[a]+n[a],i[a]+_[a]),t.rotate(o[a]),this.visuals.text.set_vectorize(t,a);const r=this.visuals.text.cache_select(\"font\",a),{height:c}=l.measure_font(r),x=this.visuals.text.text_line_height.value()*c;if(-1==s.indexOf(\"\\n\")){t.fillText(s,0,0);const o=e[a]+n[a],h=i[a]+_[a],l=t.measureText(s).width,[r,c]=this._text_bounds(o,h,l,x);this._sxs[a].push(r),this._sys[a].push(c)}else{const o=s.split(\"\\n\"),h=x*o.length,l=this.visuals.text.cache_select(\"text_baseline\",a);let r;switch(l){case\"top\":r=0;break;case\"middle\":r=-h/2+x/2;break;case\"bottom\":r=-h+x;break;default:r=0,console.warn(`'${l}' baseline not supported with multi line text`)}for(const s of o){t.fillText(s,0,r);const o=e[a]+n[a],h=r+i[a]+_[a],l=t.measureText(s).width,[c,u]=this._text_bounds(o,h,l,x);this._sxs[a].push(c),this._sys[a].push(u),r+=x}}t.restore()}}_hit_point(t){const{sx:s,sy:e}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let l=0,a=h;l<a;l++){const[a,r]=this._rotate_point(s,e,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(a,r,n[l],_[l])&&i.push(t)}}return new r.Selection({indices:i})}scenterxy(t){const s=this._sxs[t],e=this._sys[t];a.assert(0!=s.length&&0!=e.length);const i=s[0][0],n=e[0][0],_=(s[0][2]+i)/2,o=(e[0][2]+n)/2,[h,l]=this._rotate_point(_,o,i,n,this._angle[t]);return[h,l]}}e.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}e.Text=x,x.__name__=\"Text\",x.init_Text()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),r=t(245),h=t(24),o=i.__importStar(t(18));class _ extends r.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new h.NumberArray(t),this.sright=new h.NumberArray(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=_,_.__name__=\"VBarView\";class a extends r.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=_,this.define({x:[o.XCoordinateSpec,{field:\"x\"}],bottom:[o.YCoordinateSpec,{value:0}],width:[o.NumberSpec,{value:1}],top:[o.YCoordinateSpec,{field:\"top\"}]})}}e.VBar=a,a.__name__=\"VBar\",a.init_VBar()},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(100),a=e(28),d=i.__importStar(e(18)),l=e(10),o=e(88);class _ extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const d=this.model.properties.direction.value();for(const l of s)isNaN(t[l]+i[l]+r[l]+n[l]+a[l])||(e.beginPath(),e.arc(t[l],i[l],r[l],n[l],a[l],d),e.lineTo(t[l],i[l]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,l),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,l),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,d,_,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),g=this.renderer.yscale.invert(u),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-x,d=p+x,_=g-x,c=g+x):(t=h-x,i=h+x,[a,d]=this.renderer.xscale.r_invert(t,i),r=u-x,n=u+x,[_,c]=this.renderer.yscale.r_invert(r,n));const v=[];for(const e of this.index.indices({x0:a,x1:d,y0:_,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(g,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&v.push(e)}const y=this.model.properties.direction.value(),f=[];for(const e of v){const s=Math.atan2(u-this.sy[e],h-this.sx[e]);l.angle_between(-s,-this._start_angle[e],-this._end_angle[e],y)&&f.push(e)}return new o.Selection({indices:f})}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=_,_.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=_,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[d.Direction,\"anticlock\"],radius:[d.DistanceSpec],start_angle:[d.AngleSpec],end_angle:[d.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n",
       "      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(117),_),r.__exportStar(e(266),_),r.__exportStar(e(267),_)},\n",
       "      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(81);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n",
       "      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),o=t(266),n=t(24),s=r.__importStar(t(18));class u extends o.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=t.data.index,e=a.length,r=new n.NumberArray(e),o=new n.NumberArray(e);for(let t=0;t<e;t++){const e=this.graph_layout[a[t]],[n,s]=null!=e?e:[NaN,NaN];r[t]=n,o[t]=s}return[r,o]}get_edge_coordinates(t){const a=t.data.start,e=t.data.end,r=a.length,o=[],n=[],s=null!=t.data.xs&&null!=t.data.ys;for(let u=0;u<r;u++){const r=null!=this.graph_layout[a[u]]&&null!=this.graph_layout[e[u]];if(s&&r)o.push(t.data.xs[u]),n.push(t.data.ys[u]);else{let t,s;r?(t=this.graph_layout[a[u]],s=this.graph_layout[e[u]]):(t=[NaN,NaN],s=[NaN,NaN]),o.push([t[0],s[0]]),n.push([t[1],s[1]])}}return[o,n]}}e.StaticLayoutProvider=u,u.__name__=\"StaticLayoutProvider\",u.init_StaticLayoutProvider()},\n",
       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(269);d.Grid=i.Grid},\n",
       "      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(1),n=i(178),r=s.__importStar(i(28)),o=s.__importStar(i(18)),d=i(8);class _ extends n.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(i);const[e,t]=this.grid_coords(\"major\",!1);for(let s=0;s<e.length-1;s++){if(s%2!=1)continue;const[n,r]=this.coordinates.map_to_screen(e[s],t[s]),[o,d]=this.coordinates.map_to_screen(e[s+1],t[s+1]);this.visuals.band_fill.doit&&i.fillRect(n[0],r[0],o[1]-n[0],d[1]-r[0]),this.visuals.band_hatch.doit2(i,s,()=>{i.fillRect(n[0],r[0],o[1]-n[0],d[1]-r[0])},()=>this.request_render())}}_draw_grids(i){if(!this.visuals.grid_line.doit)return;const[e,t]=this.grid_coords(\"major\");this._draw_grid_helper(i,this.visuals.grid_line,e,t)}_draw_minor_grids(i){if(!this.visuals.minor_grid_line.doit)return;const[e,t]=this.grid_coords(\"minor\");this._draw_grid_helper(i,this.visuals.minor_grid_line,e,t)}_draw_grid_helper(i,e,t,s){e.set_value(i),i.beginPath();for(let e=0;e<t.length;e++){const[n,r]=this.coordinates.map_to_screen(t[e],s[e]);i.moveTo(Math.round(n[0]),Math.round(r[0]));for(let e=1;e<n.length;e++)i.lineTo(Math.round(n[e]),Math.round(r[e]))}i.stroke()}ranges(){const i=this.model.dimension,e=(i+1)%2,{ranges:t}=this.coordinates;return[t[i],t[e]]}computed_bounds(){const[i]=this.ranges(),e=this.model.bounds,t=[i.min,i.max];let s,n;if(d.isArray(e))s=Math.min(e[0],e[1]),n=Math.max(e[0],e[1]),s<t[0]&&(s=t[0]),n>t[1]&&(n=t[1]);else{[s,n]=t;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,n]=i.computed_bounds)}return[s,n]}grid_coords(i,e=!0){const t=this.model.dimension,s=(t+1)%2,[n,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,n,r.min,{})[i],h=n.min,c=n.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i<l.length;i++){if((l[i]==h||l[i]==c)&&e)continue;const n=[],r=[],o=2;for(let e=0;e<o;e++){const t=u+(m-u)/(o-1)*e;n.push(l[i]),r.push(t)}_[t].push(n),_[s].push(r)}return _}}t.GridView=_,_.__name__=\"GridView\";class a extends n.GuideRenderer{constructor(i){super(i)}static init_Grid(){this.prototype.default_view=_,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[o.Any,\"auto\"],dimension:[o.Any,0],axis:[o.Instance],ticker:[o.Instance]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=a,a.__name__=\"Grid\",a.init_Grid()},\n",
       "      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(271);r.Box=e.Box;var v=a(274);r.Column=v.Column;var x=a(275);r.GridBox=x.GridBox;var B=a(276);r.HTMLBox=B.HTMLBox;var n=a(272);r.LayoutDOM=n.LayoutDOM;var t=a(277);r.Row=t.Row;var u=a(278);r.Spacer=u.Spacer;var d=a(279);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(286);r.WidgetBox=i.WidgetBox},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(272),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n",
       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=i(81),o=i(20),l=i(72),n=i(19),h=i(8),a=i(115),r=i(78),_=i(212),d=i(273),c=i(77);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const i of this.child_views)i.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const i=this.el.offsetParent;this._offset_parent!=i&&(this._offset_parent=i,null!=i&&(this.compute_viewport(),this.invalidate_layout()))},250));const i=this.model.properties;this.on_change([i.width,i.height,i.min_width,i.min_height,i.max_width,i.max_height,i.margin,i.width_policy,i.height_policy,i.sizing_mode,i.aspect_ratio,i.visible],()=>this.invalidate_layout()),this.on_change([i.background,i.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(i=>this._child_views.get(i))}async build_child_views(){await a.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:i}=this.model;this.el.style.backgroundColor=null!=i?i:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const i of this.child_views)this.el.appendChild(i.el),i.render()}update_layout(){for(const i of this.child_views)i.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const i=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,i);for(const i of this.child_views)i.update_position()}after_layout(){for(const i of this.child_views)i.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(i){i.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const i=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-i} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const i of this.child_views)if(!i.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:i,height_policy:t,aspect_ratio:e}=this.model;\"auto\"==i&&(i=this._width_policy()),\"auto\"==t&&(t=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)i=t=\"fixed\";else if(\"stretch_both\"==s)i=t=\"max\";else if(\"stretch_width\"==s)i=\"max\";else if(\"stretch_height\"==s)t=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":i=\"max\",t=\"min\";break;case\"scale_height\":i=\"min\",t=\"max\";break;case\"scale_both\":i=\"max\",t=\"max\"}const o={width_policy:i,height_policy:t},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:r}=this.model;null!=a&&(o.width=a),null!=r&&(o.height=r);const{max_width:_,max_height:d}=this.model;null!=_&&(o.max_width=_),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=r?o.aspect=a/r:h.isNumber(e)&&(o.aspect=e);const{margin:c}=this.model;if(null!=c)if(h.isNumber(c))o.margin={top:c,right:c,bottom:c,left:c};else if(2==c.length){const[i,t]=c;o.margin={top:i,right:t,bottom:i,left:t}}else{const[i,t,e,s]=c;o.margin={top:i,right:t,bottom:e,left:s}}o.visible=this.model.visible;const{align:u}=this.model;return h.isArray(u)?[o.halign,o.valign]=u:o.halign=o.valign=u,o}_viewport_size(){return l.undisplayed(this.el,()=>{let i=this.el;for(;i=i.parentElement;){if(i.classList.contains(d.bk_root))continue;if(i==document.body){const{margin:{left:i,right:t,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-i-t),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:t,right:e,top:s,bottom:o}}=l.extents(i),{width:n,height:h}=i.getBoundingClientRect(),a=Math.ceil(n-t-e),r=Math.ceil(h-s-o);if(a>0||r>0)return{width:a>0?a:void 0,height:r>0?r:void 0}}return{}})}export(i,t=!0){const e=\"png\"==i?\"canvas\":\"svg\",s=new c.CanvasLayer(e,t),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(i,t),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(i=>i.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class m extends s.Model{constructor(i){super(i)}static init_LayoutDOM(){this.define(i=>{const{Boolean:t,Number:e,String:s,Null:l,Auto:n,Color:h,Array:a,Tuple:r,Or:d}=i,c=r(e,e),u=r(e,e,e,e);return{width:[d(e,l),null],height:[d(e,l),null],min_width:[d(e,l),null],min_height:[d(e,l),null],max_width:[d(e,l),null],max_height:[d(e,l),null],margin:[d(e,c,u),[0,0,0,0]],width_policy:[d(_.SizingPolicy,n),\"auto\"],height_policy:[d(_.SizingPolicy,n),\"auto\"],aspect_ratio:[d(e,n,l),null],sizing_mode:[d(o.SizingMode,l),null],visible:[t,!0],disabled:[t,!1],align:[d(o.Align,r(o.Align,o.Align)),\"start\"],background:[d(h,l),null],css_classes:[a(s),[]]}})}}e.LayoutDOM=m,m.__name__=\"LayoutDOM\",m.init_LayoutDOM()},\n",
       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n",
       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(271),n=t(216),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n",
       "      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(272),n=t(216),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(272),_=e(212);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n",
       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(271),_=t(216),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(272),s=e(212);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(212),l=e(72),h=e(9),o=i.__importStar(e(18)),c=e(272),d=e(81),r=e(173),n=e(280),_=e(281),b=e(282),p=i.__importDefault(e(283)),u=i.__importDefault(e(284)),m=i.__importDefault(e(285));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n",
       "      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n",
       "      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n",
       "      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n",
       "      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n",
       "      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n",
       "      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"red\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"red\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n'},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(274);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});e(1).__exportStar(e(288),t);var a=e(289);t.Marker=a.Marker;var _=e(290);t.Scatter=_.Scatter},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(1),r=e(289),n=i.__importStar(e(238)),s=Math.sqrt(3);function c(e,t){e.rotate(Math.PI/4),a(e,t),e.rotate(-Math.PI/4)}function l(e,t){const o=t*s,i=o/3;e.moveTo(-o/2,-i),e.lineTo(0,0),e.lineTo(o/2,-i),e.lineTo(0,0),e.lineTo(0,t)}function a(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function u(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function d(e,t){const o=t*s,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function v(e,t,o,i,r){a(e,o),c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function _(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function f(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),a(e,o),e.stroke())}function T(e,t,o,i,r){_(e,t,o,i,r),P(e,t,o,i,r)}function 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o=t/2,i=s*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function g(e,t,o,i,r){D(e,t,o,i,r),P(e,t,o,i)}function S(e,t,o,i,r){e.rotate(Math.PI),d(e,o),e.rotate(-Math.PI),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function G(e,t,o,i,r){const n=3*o/8,s=[n,n,o,o,n,n,-n,-n,-o,-o,-n,-n],c=[o,n,n,-n,-n,-o,-o,-n,-n,n,n,o];for(e.moveTo(s[0],c[0]),t=1;t<12;t++)e.lineTo(s[t],c[t]);e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function L(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,r){const n=3*o/8;e.moveTo(-o,-o),e.quadraticCurveTo(0,-n,o,-o),e.quadraticCurveTo(n,0,o,o),e.quadraticCurveTo(0,n,-o,o),e.quadraticCurveTo(-n,0,-o,-o),e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function p(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),a(e,o),e.stroke())}function x(e,t,o,i,r){L(e,t,o,i,r),P(e,t,o,i)}function I(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(-o,o),e.lineTo(o,-o),e.moveTo(-o,-o),e.lineTo(o,o),e.stroke())}function y(e,t,o,i,r){d(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function X(e,t,o,i,r){y(e,t,o,i,r),P(e,t,o,i)}function H(e,t,o,i,r){const n=o*s,c=n/3,l=3*c/8;e.moveTo(-o,c),e.quadraticCurveTo(0,l,o,c),e.quadraticCurveTo(s*l/2,l/2,0,c-n),e.quadraticCurveTo(-s*l/2,l/2,-o,c),e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function Y(e,t,o,i,r){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function A(e,t,o,i,r){c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function b(e,t,o,i,r){l(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function w(e,t,o){var i;const n=class extends r.MarkerView{static initClass(){this.prototype._render_one=t,this.prototype.glglyph_cls=o}};n.initClass();const s=((i=class extends r.Marker{static initClass(){this.prototype.default_view=n}}).__name__=e,i);return s.initClass(),s}o.Asterisk=w(\"Asterisk\",v,n.AsteriskGL),o.CircleCross=w(\"CircleCross\",f,n.CircleCrossGL),o.CircleDot=w(\"CircleDot\",T),o.CircleY=w(\"CircleY\",z),o.CircleX=w(\"CircleX\",C,n.CircleXGL),o.Cross=w(\"Cross\",k,n.CrossGL),o.Dash=w(\"Dash\",Y),o.Diamond=w(\"Diamond\",m,n.DiamondGL),o.DiamondCross=w(\"DiamondCross\",h,n.DiamondCrossGL),o.DiamondDot=w(\"DiamondDot\",q),o.Dot=w(\"Dot\",P),o.Hex=w(\"Hex\",D,n.HexGL),o.HexDot=w(\"HexDot\",g),o.InvertedTriangle=w(\"InvertedTriangle\",S,n.InvertedTriangleGL),o.Plus=w(\"Plus\",G),o.Square=w(\"Square\",L,n.SquareGL),o.SquareCross=w(\"SquareCross\",p,n.SquareCrossGL),o.SquareDot=w(\"SquareDot\",x),o.SquarePin=w(\"SquarePin\",M),o.SquareX=w(\"SquareX\",I,n.SquareXGL),o.Triangle=w(\"Triangle\",y,n.TriangleGL),o.TriangleDot=w(\"TriangleDot\",X),o.TrianglePin=w(\"TrianglePin\",H),o.X=w(\"X\",A,n.XGL),o.Y=w(\"Y\",b),o.marker_funcs={asterisk:v,circle:_,circle_cross:f,circle_dot:T,circle_y:z,circle_x:C,cross:k,diamond:m,diamond_dot:q,diamond_cross:h,dot:P,hex:D,hex_dot:g,inverted_triangle:S,plus:G,square:L,square_cross:p,square_dot:x,square_pin:M,square_x:I,triangle:y,triangle_dot:X,triangle_pin:H,dash:Y,x:A,y:b}},\n",
       "      function _(e,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const t=e(1),n=e(93),r=e(28),a=t.__importStar(e(101)),_=t.__importStar(e(18)),h=e(9),l=e(88);class c extends n.XYGlyphView{initialize(){super.initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;null!=e&&null!=this.glglyph_cls&&(this.glglyph=new this.glglyph_cls(e.gl,this))}_render(e,s,{sx:i,sy:t,_size:n,_angle:r}){for(const a of s){if(isNaN(i[a]+t[a]+n[a]+r[a]))continue;const s=n[a]/2;e.beginPath(),e.translate(i[a],t[a]),r[a]&&e.rotate(r[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),r[a]&&e.rotate(-r[a]),e.translate(-i[a],-t[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,i=e.end+this.max_size,[t,n]=this.renderer.xscale.r_invert(s,i),r=this.renderer.plot_view.frame.bbox.v_range,a=r.start-this.max_size,_=r.end+this.max_size,[h,l]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:t,x1:n,y0:h,y1:l})}_hit_point(e){const{sx:s,sy:i}=e,t=s-this.max_size,n=s+this.max_size,[r,a]=this.renderer.xscale.r_invert(t,n),_=i-this.max_size,h=i+this.max_size,[c,o]=this.renderer.yscale.r_invert(_,h),x=this.index.indices({x0:r,x1:a,y0:c,y1:o}),d=[];for(const e of x){const t=this._size[e]/2;Math.abs(this.sx[e]-s)<=t&&Math.abs(this.sy[e]-i)<=t&&d.push(e)}return new l.Selection({indices:d})}_hit_span(e){const{sx:s,sy:i}=e,t=this.bounds(),n=this.max_size/2;let r,a,_,h;if(\"h\"==e.direction){_=t.y0,h=t.y1;const e=s-n,i=s+n;[r,a]=this.renderer.xscale.r_invert(e,i)}else{r=t.x0,a=t.x1;const e=i-n,s=i+n;[_,h]=this.renderer.yscale.r_invert(e,s)}const c=[...this.index.indices({x0:r,x1:a,y0:_,y1:h})];return new l.Selection({indices:c})}_hit_rect(e){const{sx0:s,sx1:i,sy0:t,sy1:n}=e,[r,a]=this.renderer.xscale.r_invert(s,i),[_,h]=this.renderer.yscale.r_invert(t,n),c=[...this.index.indices({x0:r,x1:a,y0:_,y1:h})];return new l.Selection({indices:c})}_hit_poly(e){const{sx:s,sy:i}=e,t=h.range(0,this.sx.length),n=[];for(let e=0,r=t.length;e<r;e++){const r=t[e];a.point_in_poly(this.sx[e],this.sy[e],s,i)&&n.push(r)}return new l.Selection({indices:n})}_get_legend_args({x0:e,x1:s,y0:i,y1:t},n){const r=n+1,a=new Array(r);a[n]=(e+s)/2;const _=new Array(r);_[n]=(i+t)/2;const h=new Array(r);h[n]=.4*Math.min(Math.abs(s-e),Math.abs(t-i));const l=new Array(r);return l[n]=0,{sx:a,sy:_,_size:h,_angle:l}}draw_legend_for_index(e,{x0:s,x1:i,y0:t,y1:n},r){const a=this._get_legend_args({x0:s,x1:i,y0:t,y1:n},r);this._render(e,[r],a)}}i.MarkerView=c,c.__name__=\"MarkerView\";class o extends n.XYGlyph{constructor(e){super(e)}static init_Marker(){this.mixins([r.LineVector,r.FillVector]),this.define({size:[_.DistanceSpec,{units:\"screen\",value:4}],angle:[_.AngleSpec,0]})}}i.Marker=o,o.__name__=\"Marker\",o.init_Marker()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),s=e(289),i=e(288),n=a.__importStar(e(18));class _ extends s.MarkerView{_render(e,t,{sx:r,sy:a,_size:s,_angle:n,_marker:_}){for(const c of t){if(isNaN(r[c]+a[c]+s[c]+n[c])||null==_[c])continue;const t=s[c]/2;e.beginPath(),e.translate(r[c],a[c]),n[c]&&e.rotate(n[c]),i.marker_funcs[_[c]](e,c,t,this.visuals.line,this.visuals.fill),n[c]&&e.rotate(-n[c]),e.translate(-r[c],-a[c])}}draw_legend_for_index(e,{x0:t,x1:r,y0:a,y1:s},i){const n=this._get_legend_args({x0:t,x1:r,y0:a,y1:s},i),_=new Array(i+1);_[i]=this._marker[i],n._marker=_,this._render(e,[i],n)}}r.ScatterView=_,_.__name__=\"ScatterView\";class c extends s.Marker{constructor(e){super(e)}static init_Scatter(){this.prototype.default_view=_,this.define({marker:[n.MarkerSpec,{value:\"circle\"}]})}}r.Scatter=c,c.__name__=\"Scatter\",c.init_Scatter()},\n",
       "      function _(a,o,p){Object.defineProperty(p,\"__esModule\",{value:!0});var t=a(292);p.MapOptions=t.MapOptions;var e=a(292);p.GMapOptions=e.GMapOptions;var n=a(292);p.GMapPlot=n.GMapPlot;var M=a(293);p.Plot=M.Plot},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),n=t(19),a=t(293),s=o.__importStar(t(18)),p=t(81),r=t(158),_=t(319);i.GMapPlotView=_.GMapPlotView;class l extends p.Model{constructor(t){super(t)}static init_MapOptions(){this.define({lat:[s.Number],lng:[s.Number],zoom:[s.Number,12]})}}i.MapOptions=l,l.__name__=\"MapOptions\",l.init_MapOptions();class c extends l{constructor(t){super(t)}static init_GMapOptions(){this.define({map_type:[s.String,\"roadmap\"],scale_control:[s.Boolean,!1],styles:[s.String],tilt:[s.Int,45]})}}i.GMapOptions=c,c.__name__=\"GMapOptions\",c.init_GMapOptions();class u extends a.Plot{constructor(t){super(t)}static init_GMapPlot(){this.prototype.default_view=_.GMapPlotView,this.define({map_options:[s.Instance],api_key:[s.String]}),this.override({x_range:()=>new r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),o=i.__importStar(e(28)),n=i.__importStar(e(18)),s=e(15),a=e(9),l=e(13),_=e(8),h=e(272),c=e(169),u=e(145),d=e(294),b=e(85),g=e(90),p=e(210),m=e(312);r.PlotView=m.PlotView;class f extends h.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=m.PlotView,this.mixins([[\"outline_\",o.Line],[\"background_\",o.Fill],[\"border_\",o.Fill]]),this.define({toolbar:[n.Instance,()=>new d.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new c.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new p.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new p.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new u.LinearScale],y_scale:[n.Instance,()=>new u.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.properties.width.get_value();return null!=e?e:this.plot_width}set width(e){this.setv({width:e,plot_width:e})}get height(){const e=this.properties.height.get_value();return null!=e?e:this.plot_height}set height(e){this.setv({height:e,plot_height:e})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new s.Signal0(this,\"reset\");for(const e of l.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of l.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{a.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new b.ColumnDataSource,r={}){const i=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new g.GlyphRenderer(i);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:i}=this;return a.concat([e,t,r,i])}}r.Plot=f,f.__name__=\"Plot\",f.init_Plot()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1).__importStar(t(18)),c=t(8),o=t(9),n=t(13),a=t(295),l=t(305),r=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},_=t=>\"tap\"==t||\"pan\"==t;class h extends l.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=l.ToolbarBaseView,this.define({active_drag:[s.Any,\"auto\"],active_inspect:[s.Any,\"auto\"],active_scroll:[s.Any,\"auto\"],active_tap:[s.Any,\"auto\"],active_multi:[s.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:e,active_inspect:i,active_scroll:s,active_tap:c,active_multi:o}=this.properties;this.on_change([t,e,i,s,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof a.InspectTool){let t=!1;for(const e of this.inspectors)e!=this.active_inspect?e.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t of n.values(this.gestures)){t.tools=o.sort_by(t.tools,t=>t.default_order);for(const e of t.tools)this.connect(e.properties.active.change,()=>this._active_change(e))}for(const[e,i]of n.entries(this.gestures)){const s=r(e);if(s){const c=this[s];\"auto\"==c?0!=i.tools.length&&_(e)&&t(i.tools[0]):null!=c&&(o.includes(this.tools,c)?t(c):this[s]=null)}}}}i.Toolbar=h,h.__name__=\"Toolbar\",h.init_Toolbar()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(296),i=e(304),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n",
       "      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=i.__importDefault(t(297)),n=t(78),l=t(298),r=t(72),a=i.__importStar(t(18)),u=t(29),_=t(8),h=t(9),c=t(299),m=i.__importDefault(t(300)),d=i.__importDefault(t(301)),p=i.__importDefault(t(284)),f=t(302);class g extends n.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new f.ContextMenu(o?h.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new s.default(this.el,{touchAction:\"auto\",inputClass:s.default.TouchMouseInput}),this.connect(this.model.change,()=>this.render()),this._hammer.on(\"tap\",t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()}),this._hammer.on(\"press\",()=>this._pressed())}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,d.default,p.default]}css_classes(){return super.css_classes().concat(c.bk_toolbar_button)}render(){r.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(u.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=g,g.__name__=\"ButtonToolButtonView\";class v extends l.ToolView{}o.ButtonToolView=v,v.__name__=\"ButtonToolView\";class b extends l.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[a.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=b,b.__name__=\"ButtonTool\",b.init_ButtonTool()},\n",
       "      function _(t,e,n){\n",
       "      /*! Hammer.JS - v2.0.7 - 2016-04-22\n",
       "           * http://hammerjs.github.io/\n",
       "           *\n",
       "           * Copyright (c) 2016 Jorik Tangelder;\n",
       "           * Licensed under the MIT license */\n",
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this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(18)),o=t(71),s=t(9),a=t(81);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n",
       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n",
       "      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60% 60%;\\n  background-origin: border-box;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n",
       "      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-copy-to-clipboard {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUSDBoBvcHQeQAAAG9JREFUWMNjXLhsJcNAAiaGAQYwB/xHwh/Q+ITEkfHQCwEWND4jmeb8H/JpgBwfI6cNBhLSEkqaGXRpgFRAcZoZsmlg1AGjDhh1wKgDRh0w6gCaVcf/R2wIkNqw+D9s0wADvUNiyIYA47BJAwPuAAAj/Cjd0TCN6wAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-box-select {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-box-zoom {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-in {\\n  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url(\"data:image/png;base64,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\");\\n}\\n'},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(72),o=t(303),l=n.__importStar(t(282));class h{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t,e;s.empty(this.el,!0);const i=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+i);for(const[t,i]of o.enumerate(this.items)){let n;if(null==t)n=s.div({class:l.bk_divider});else{if(null!=t.if&&!t.if())continue;{const i=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(e=t.active)||void 0===e?void 0:e.call(t))?\"bk-active\":null,title:t.tooltip},i,t.label)}}n.addEventListener(\"click\",()=>this._item_click(i)),this.el.appendChild(n)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=h,h.__name__=\"ContextMenu\"},\n",
       "      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(296),i=e(173),s=e(72);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(19),l=t(72),n=t(115),a=i.__importStar(t(18)),r=t(78),_=t(9),c=t(13),h=t(8),u=t(81),v=t(306),d=t(307),b=t(308),p=t(295),g=t(299),f=t(310),m=t(173),w=i.__importDefault(t(300)),y=i.__importDefault(t(311));class T extends u.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=T,T.__name__=\"ToolbarViewModel\",T.init_ToolbarViewModel();class k extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new T({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),w.default,y.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=g.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(g.bk_toolbar),this.el.classList.add(m.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?f.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[f.bk_logo,f.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i of c.values(e))t.push(i.tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:g.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function M(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=k,k.__name__=\"ToolbarBaseView\";class B extends u.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=k,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,M],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof p.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof b.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof d.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof v.GestureTool&&t.event_type)if(h.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=h.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=B,B.__name__=\"ToolbarBase\",B.init_ToolbarBase()},\n",
       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(296),n=e(304);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n",
       "      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(296),i=o(15);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit(void 0)}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,o=>this.doit(o))}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n",
       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(307),s=i.__importStar(o(18)),n=o(309);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n",
       "      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n",
       "      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n",
       "      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n  display: inline-block;\\n  vertical-align: middle;\\n  margin-right: 5px;\\n}\\n\"},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n<s.length;n++)e.indexOf(s[n])<0&&Object.prototype.propertyIsEnumerable.call(t,s[n])&&(i[s[n]]=t[s[n]])}return i};const n=t(208),a=t(77),o=t(210),l=t(90),r=t(272),h=t(169),_=t(177),d=t(170),c=t(313),u=t(15),p=t(115),f=t(314),b=t(74),g=t(19),m=t(316),v=t(8),w=t(9),y=t(215),x=t(317),z=t(318),M=t(216),O=t(79);class k extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new u.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new b.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=m.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new f.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new x.BorderLayout,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=w.copy(this.model.above),s=w.copy(this.model.below),n=w.copy(this.model.left),a=w.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:c}=this.model;if(null!=_&&null!=c){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const u=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new z.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(v.isArray(n)){const e=n.map(e=>{const s=u(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new M.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new M.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(u(t,n));return s},f=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:f,top:null!=this.model.min_border_top?this.model.min_border_top:f,right:null!=this.model.min_border_right?this.model.min_border_right:f,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:f};const b=new y.VStack,g=new y.VStack,m=new y.HStack,O=new y.HStack;b.children=w.reversed(p(\"above\",i)),g.children=p(\"below\",s),m.children=w.reversed(p(\"left\",n)),O.children=p(\"right\",a),b.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),g.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),m.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=b,this.layout.bottom_panel=g,this.layout.left_panel=m,this.layout.right_panel=O}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const[,t]of this.frame.x_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[,t]of this.frame.y_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const[,i]of this.frame.x_ranges){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const[,i]of this.frame.y_ranges){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){g.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,t]of this.frame.x_ranges)t.bounds=null;for(const[,t]of this.frame.y_ranges)t.bounds=null}this.range_update_timestamp=Date.now()}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const[,t]of n)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const o=[];for(const[e,i]of n)o.push([i,t.xrs.get(e)]);for(const[e,i]of a)o.push([i,t.yrs.get(e)]);i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const[,e]of t)this.connect(e.change,()=>{this._needs_layout=!0,this.request_paint()});for(const[,t]of e)this.connect(t.change,()=>{this._needs_layout=!0,this.request_paint()});const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s=new Map,n=new Map;for(const[i,n]of e){const{start:e,end:a}=n;if(null==e||null==a||isNaN(e+a)){t=!1;break}s.set(i,{start:e,end:a})}if(t)for(const[e,s]of i){const{start:i,end:a}=s;if(null==i||null==a||isNaN(i+a)){t=!1;break}n.set(e,{start:i,end:a})}t?(this._initial_state_info.range={xrs:s,yrs:n},g.logger.debug(\"initial ranges set\")):g.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused||!this.model.visible)return;g.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint()},this.model.lod_timeout):t.interactive_stop()}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range(),this._needs_paint=!1}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&a.needs_webgl_blit&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout.bbox.width&&(n-=1),s+a==this.layout.bbox.height&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}to_blob(){return this.canvas_view.to_blob()}export(t,e=!0){const i=\"png\"==t?\"canvas\":\"svg\",s=new a.CanvasLayer(i,e),{width:n,height:o}=this.layout.bbox;s.resize(n,o);const{canvas:l}=this.canvas_view.compose();return s.ctx.drawImage(l,0,0),s}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=k,k.__name__=\"PlotView\"},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";class o extends a{constructor(){super(...arguments),this.origin=null}_to_json(){return{model:this.origin}}}s.ModelEvent=o,o.__name__=\"ModelEvent\";let r=class extends a{_to_json(){return{}}};s.DocumentReady=r,r.__name__=\"DocumentReady\",s.DocumentReady=r=n([_(\"document_ready\")],r);let c=class extends o{};s.ButtonClick=c,c.__name__=\"ButtonClick\",s.ButtonClick=c=n([_(\"button_click\")],c);let l=class extends o{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=l,l.__name__=\"MenuItemClick\",s.MenuItemClick=l=n([_(\"menu_item_click\")],l);class i extends o{}s.UIEvent=i,i.__name__=\"UIEvent\";let u=class extends i{};s.LODStart=u,u.__name__=\"LODStart\",s.LODStart=u=n([_(\"lodstart\")],u);let d=class extends i{};s.LODEnd=d,d.__name__=\"LODEnd\",s.LODEnd=d=n([_(\"lodend\")],d);let h=class extends i{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=h,h.__name__=\"SelectionGeometry\",s.SelectionGeometry=h=n([_(\"selectiongeometry\")],h);let m=class extends i{};s.Reset=m,m.__name__=\"Reset\",s.Reset=m=n([_(\"reset\")],m);class x extends i{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=x,x.__name__=\"PointEvent\";let p=class extends x{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=p,p.__name__=\"Pan\",s.Pan=p=n([_(\"pan\")],p);let j=class extends x{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=j,j.__name__=\"Pinch\",s.Pinch=j=n([_(\"pinch\")],j);let y=class extends x{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=y,y.__name__=\"Rotate\",s.Rotate=y=n([_(\"rotate\")],y);let P=class extends x{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=P,P.__name__=\"MouseWheel\",s.MouseWheel=P=n([_(\"wheel\")],P);let v=class extends x{};s.MouseMove=v,v.__name__=\"MouseMove\",s.MouseMove=v=n([_(\"mousemove\")],v);let O=class extends x{};s.MouseEnter=O,O.__name__=\"MouseEnter\",s.MouseEnter=O=n([_(\"mouseenter\")],O);let b=class extends x{};s.MouseLeave=b,b.__name__=\"MouseLeave\",s.MouseLeave=b=n([_(\"mouseleave\")],b);let g=class extends x{};s.Tap=g,g.__name__=\"Tap\",s.Tap=g=n([_(\"tap\")],g);let E=class extends x{};s.DoubleTap=E,E.__name__=\"DoubleTap\",s.DoubleTap=E=n([_(\"doubletap\")],E);let M=class extends x{};s.Press=M,M.__name__=\"Press\",s.Press=M=n([_(\"press\")],M);let R=class extends x{};s.PressUp=R,R.__name__=\"PressUp\",s.PressUp=R=n([_(\"pressup\")],R);let f=class extends x{};s.PanStart=f,f.__name__=\"PanStart\",s.PanStart=f=n([_(\"panstart\")],f);let S=class extends x{};s.PanEnd=S,S.__name__=\"PanEnd\",s.PanEnd=S=n([_(\"panend\")],S);let D=class extends x{};s.PinchStart=D,D.__name__=\"PinchStart\",s.PinchStart=D=n([_(\"pinchstart\")],D);let k=class extends x{};s.PinchEnd=k,k.__name__=\"PinchEnd\",s.PinchEnd=k=n([_(\"pinchend\")],k);let L=class extends x{};s.RotateStart=L,L.__name__=\"RotateStart\",s.RotateStart=L=n([_(\"rotatestart\")],L);let C=class extends x{};s.RotateEnd=C,C.__name__=\"RotateEnd\",s.RotateEnd=C=n([_(\"rotateend\")],C)},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(297)),r=t(15),a=t(19),h=t(72),_=n.__importStar(t(313)),o=t(315),c=t(9),l=t(8),p=t(32),u=t(302);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(l.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),p.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of c.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,c.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(c.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[p.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const{sx:e,sy:s}=t,n=this.plot_view.frame.x_scale.invert(e),i=this.plot_view.frame.y_scale.invert(s);switch(t.type){case\"wheel\":return new _.MouseWheel(e,s,n,i,t.delta);case\"mousemove\":return new _.MouseMove(e,s,n,i);case\"mouseenter\":return new _.MouseEnter(e,s,n,i);case\"mouseleave\":return new _.MouseLeave(e,s,n,i);case\"tap\":return new _.Tap(e,s,n,i);case\"doubletap\":return new _.DoubleTap(e,s,n,i);case\"press\":return new _.Press(e,s,n,i);case\"pressup\":return new _.PressUp(e,s,n,i);case\"pan\":return new _.Pan(e,s,n,i,t.deltaX,t.deltaY);case\"panstart\":return new _.PanStart(e,s,n,i);case\"panend\":return new _.PanEnd(e,s,n,i);case\"pinch\":return new _.Pinch(e,s,n,i,t.scale);case\"pinchstart\":return new _.PinchStart(e,s,n,i);case\"pinchend\":return new _.PinchEnd(e,s,n,i);case\"rotate\":return new _.Rotate(e,s,n,i,t.rotation);case\"rotatestart\":return new _.RotateStart(e,s,n,i);case\"rotateend\":return new _.RotateEnd(e,s,n,i);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:o.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n",
       "      function _(e,t,n){\n",
       "      /*!\n",
       "           * jQuery Mousewheel 3.1.13\n",
       "           *\n",
       "           * Copyright jQuery Foundation and other contributors\n",
       "           * Released under the MIT license\n",
       "           * http://jquery.org/license\n",
       "           */\n",
       "      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n",
       "      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n",
       "      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const i=t(213),o=t(214),r=t(79);class s extends o.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0}}_measure(t){t=new i.Sizeable(t).bounded_to(this.sizing.size);const e=this.left_panel.measure({width:0,height:t.height}),h=Math.max(e.width,this.min_border.left),o=this.right_panel.measure({width:0,height:t.height}),r=Math.max(o.width,this.min_border.right),s=this.top_panel.measure({width:t.width,height:0}),n=Math.max(s.height,this.min_border.top),a=this.bottom_panel.measure({width:t.width,height:0}),g=Math.max(a.height,this.min_border.bottom),_=new i.Sizeable(t).shrink_by({left:h,right:r,top:n,bottom:g}),m=this.center_panel.measure(_);return{width:h+m.width+r,height:n+m.height+g,inner:{left:h,right:r,top:n,bottom:g},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const h=this.left_panel.measure({width:0,height:t.height}),i=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:n,top:a,right:g,bottom:_}=e;this.top_panel.set_geometry(new r.BBox({left:n,right:g,bottom:a,height:o.height})),this.bottom_panel.set_geometry(new r.BBox({left:n,right:g,top:_,height:s.height})),this.left_panel.set_geometry(new r.BBox({top:a,bottom:_,right:n,width:h.width})),this.right_panel.set_geometry(new r.BBox({top:a,bottom:_,left:g,width:i.width}))}}h.BorderLayout=s,s.__name__=\"BorderLayout\"},\n",
       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(213),a=i(214),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n",
       "      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(15),o=t(72),a=t(37),n=t(312),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.compute(t,s),[p,l]=a.wgs84_mercator.compute(e,i);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout.bbox.width,i=this.layout.bbox.height,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n",
       "      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(211);n.DataRange=g.DataRange;var R=a(210);n.DataRange1d=R.DataRange1d;var r=a(98);n.FactorRange=r.FactorRange;var t=a(99);n.Range=t.Range;var d=a(158);n.Range1d=d.Range1d},\n",
       "      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(90);d.GlyphRenderer=n.GlyphRenderer;var R=e(116);d.GraphRenderer=R.GraphRenderer;var a=e(178);d.GuideRenderer=a.GuideRenderer;var G=e(70);d.Renderer=G.Renderer},\n",
       "      function _(a,e,l){Object.defineProperty(l,\"__esModule\",{value:!0});var c=a(209);l.CategoricalScale=c.CategoricalScale;var r=a(146);l.ContinuousScale=r.ContinuousScale;var n=a(145);l.LinearScale=n.LinearScale;var o=a(156);l.LinearInterpolationScale=o.LinearInterpolationScale;var i=a(157);l.LogScale=i.LogScale;var S=a(147);l.Scale=S.Scale},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});e(1).__exportStar(e(118),o);var n=e(88);o.Selection=n.Selection},\n",
       "      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(325);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(327);r.AjaxDataSource=S.AjaxDataSource;var u=a(85);r.ColumnDataSource=u.ColumnDataSource;var t=a(86);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(114);r.CDSView=c.CDSView;var D=a(87);r.DataSource=D.DataSource;var v=a(328);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(326);r.WebDataSource=n.WebDataSource},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(326);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(85),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(326),r=t(19),o=s.__importStar(t(18)),n=t(13);class d extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of n.entries(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=d,d.__name__=\"AjaxDataSource\",d.init_AjaxDataSource()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(86),s=e(19),a=r.__importStar(e(18)),i=e(9),l=e(13);function c(e){return null!=e?e:NaN}class _ extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of l.entries(s))t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=c(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=c(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=c(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=c(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=c(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=c(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=_,_.__name__=\"GeoJSONDataSource\",_.init_GeoJSONDataSource()},\n",
       "      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(127);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(126);i.BasicTicker=a.BasicTicker;var k=e(180);i.CategoricalTicker=k.CategoricalTicker;var T=e(191);i.CompositeTicker=T.CompositeTicker;var t=e(128);i.ContinuousTicker=t.ContinuousTicker;var o=e(190);i.DatetimeTicker=o.DatetimeTicker;var v=e(192);i.DaysTicker=v.DaysTicker;var n=e(330);i.FixedTicker=n.FixedTicker;var s=e(199);i.LogTicker=s.LogTicker;var l=e(202);i.MercatorTicker=l.MercatorTicker;var u=e(195);i.MonthsTicker=u.MonthsTicker;var d=e(193);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(129);i.Ticker=g.Ticker;var C=e(196);i.YearsTicker=C.YearsTicker},\n",
       "      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(128),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n",
       "      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(332);o.BBoxTileSource=T.BBoxTileSource;var c=e(333);o.MercatorTileSource=c.MercatorTileSource;var i=e(336);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(337);o.TileRenderer=l.TileRenderer;var S=e(334);o.TileSource=S.TileSource;var u=e(341);o.TMSTileSource=u.TMSTileSource;var a=e(338);o.WMTSTileSource=a.WMTSTileSource},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(333),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(334),r=_.__importStar(t(18)),o=t(9),n=t(335);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(81),s=e(13),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(37);function o(e,t){return n.wgs84_mercator.compute(e,t)}function c(e,t){return n.wgs84_mercator.invert(e,t)}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,u]=o(t,r),[i,g]=o(n,c);return[_,u,i,g]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,u]=c(t,r),[i,g]=c(n,o);return[_,u,i,g]}},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(333);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),_=t(338),n=t(91),a=t(158),r=t(72),o=s.__importStar(t(18)),h=t(251),l=t(9),d=t(8),m=t(89),c=t(85),g=t(339),p=s.__importDefault(t(340));class u extends n.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:t}=this.model.tile_source;if(d.isString(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=r.div({class:g.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof a.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof a.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const[n,a,r]=this.model.tile_source.normalize_xyz(t,e,i),o={img:void 0,tile_coords:[t,e,i],normalized_coords:[n,a,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(t,e,i),cache_key:this.model.tile_source.tile_xyz_to_key(t,e,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},l=this.model.tile_source.get_image_url(n,a,r);new h.ImageLoader(l,{loaded:t=>{Object.assign(o,{img:t,loaded:!0}),_?(o.finished=!0,this.notify_finished()):this.request_render()},failed(){o.finished=!0}}),this.model.tile_source.tiles.set(o.cache_key,o),this._tiles.push(o)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,r=t,o=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,r,o,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.properties.outline_line_width.value(),e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);e<i;e++){const[i,s,_]=n[e],a=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const e of a){const[i,s,_,n]=e;t.tiles.has(t.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,n,!0)}}}_fetch_tiles(t){for(const e of t){const[t,i,s,_]=e;this._create_tile(t,i,s,_)}}_update(){const{tile_source:t}=this.model,{min_zoom:e}=t,{max_zoom:i}=t;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],n=this.map_frame.bbox.height,a=this.map_frame.bbox.width;let r=t.get_level_by_extent(s,n,a),o=!1;r<e?(s=this.extent,r=e,o=!0):r>i&&(s=this.extent,r=i,o=!0),o&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,r),d=[],m=[],c=[],g=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),r=t.tiles.get(a);if(null!=r&&r.loaded)m.push(a);else if(this.model.render_parents){const[e,a,r]=t.get_closest_parent_by_tile_xyz(i,s,n),o=t.tile_xyz_to_key(e,a,r),h=t.tiles.get(o);if(null!=h&&h.loaded&&!l.includes(c,o)&&c.push(o),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&g.push(e)}}}null==r&&d.push(e)}this._render_tiles(c),this._render_tiles(g),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=u,u.__name__=\"TileRendererView\";class b extends n.DataRenderer{constructor(t){super(t),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=u,this.define({alpha:[o.Number,1],smoothing:[o.Boolean,!0],tile_source:[o.Instance,()=>new _.WMTSTileSource],render_parents:[o.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=b,b.__name__=\"TileRenderer\",b.init_TileRenderer()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(333);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n",
       "      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n",
       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n",
       "      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(333);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n",
       "      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(343);a.CanvasTexture=t.CanvasTexture;var u=e(345);a.ImageURLTexture=u.ImageURLTexture;var v=e(344);a.Texture=v.Texture},\n",
       "      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(344),s=r.__importStar(t(18)),i=t(29);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(81),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(344),n=r.__importStar(e(18)),s=e(251);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n",
       "      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(307);T.ActionTool=a.ActionTool;var r=o(347);T.CustomAction=r.CustomAction;var e=o(308);T.HelpTool=e.HelpTool;var v=o(348);T.RedoTool=v.RedoTool;var t=o(349);T.ResetTool=t.ResetTool;var n=o(350);T.SaveTool=n.SaveTool;var s=o(351);T.UndoTool=s.UndoTool;var i=o(352);T.ZoomInTool=i.ZoomInTool;var P=o(355);T.ZoomOutTool=P.ZoomOutTool;var c=o(296);T.ButtonTool=c.ButtonTool;var d=o(356);T.EditTool=d.EditTool;var u=o(357);T.BoxEditTool=u.BoxEditTool;var y=o(358);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(359);T.PointDrawTool=m.PointDrawTool;var x=o(360);T.PolyDrawTool=x.PolyDrawTool;var B=o(361);T.PolyTool=B.PolyTool;var S=o(362);T.PolyEditTool=S.PolyEditTool;var b=o(363);T.BoxSelectTool=b.BoxSelectTool;var h=o(366);T.BoxZoomTool=h.BoxZoomTool;var E=o(306);T.GestureTool=E.GestureTool;var Z=o(367);T.LassoSelectTool=Z.LassoSelectTool;var p=o(369);T.LineEditTool=p.LineEditTool;var w=o(371);T.PanTool=w.PanTool;var C=o(368);T.PolySelectTool=C.PolySelectTool;var D=o(372);T.RangeTool=D.RangeTool;var H=o(364);T.SelectTool=H.SelectTool;var R=o(373);T.TapTool=R.TapTool;var A=o(374);T.WheelPanTool=A.WheelPanTool;var I=o(375);T.WheelZoomTool=I.WheelZoomTool;var L=o(376);T.CrosshairTool=L.CrosshairTool;var W=o(377);T.CustomJSHover=W.CustomJSHover;var O=o(378);T.HoverTool=O.HoverTool;var _=o(295);T.InspectTool=_.InspectTool;var f=o(298);T.Tool=f.Tool;var g=o(379);T.ToolProxy=g.ToolProxy;var F=o(294);T.Toolbar=F.Toolbar;var G=o(305);T.ToolbarBase=G.ToolbarBase;var J=o(380);T.ProxyToolbar=J.ProxyToolbar;var U=o(380);T.ToolbarBox=U.ToolbarBox},\n",
       "      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(307),e=n.__importStar(t(18)),c=t(299);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n",
       "      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(307),s=o(309);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(307),i=e(309);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n",
       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const a=e(307),i=e(309);class n extends a.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:e});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=n,n.__name__=\"SaveToolView\";class s extends a.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=i.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=n,this.register_alias(\"save\",()=>new s)}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=s,s.__name__=\"SaveTool\",s.init_SaveTool()},\n",
       "      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(307),i=o(309);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n",
       "      function _(o,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(353),s=o(309);class t extends n.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=s.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=n.ZoomBaseToolView,this.register_alias(\"zoom_in\",()=>new t({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new t({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new t({dimensions:\"height\"}))}}e.ZoomInTool=t,t.__name__=\"ZoomInTool\",t.init_ZoomInTool()},\n",
       "      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=o(1),s=o(307),n=o(354),_=i.__importStar(o(18));class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,e=\"width\"==t||\"both\"==t,i=\"height\"==t||\"both\"==t,s=n.scale_range(o,this.model.sign*this.model.factor,e,i);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}e.ZoomBaseToolView=l,l.__name__=\"ZoomBaseToolView\";class a extends s.ActionTool{constructor(o){super(o)}static init_ZoomBaseTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.ZoomBaseTool=a,a.__name__=\"ZoomBaseTool\",a.init_ZoomBaseTool()},\n",
       "      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=n(10);function r(n,e,t){const[o,r]=[n.start,n.end],s=null!=t?t:(r+o)/2;return[o-(o-s)*e,r-(r-s)*e]}function s(n,[e,t]){const o=new Map;for(const[r,s]of n){const[n,c]=s.r_invert(e,t);o.set(r,{start:n,end:c})}return o}t.scale_highlow=r,t.get_info=s,t.scale_range=function(n,e,t=!0,c=!0,l){e=o.clamp(e,-.9,.9);const a=t?e:0,[u,_]=r(n.bbox.h_range,a,null!=l?l.x:void 0),i=s(n.x_scales,[u,_]),f=c?e:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:i,yrs:s(n.y_scales,[d,b]),factor:e}}},\n",
       "      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(353),s=o(309);class n extends e.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=s.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=e.ZoomBaseToolView,this.register_alias(\"zoom_out\",()=>new n({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new n({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new n({dimensions:\"height\"}))}}i.ZoomOutTool=n,n.__name__=\"ZoomOutTool\",n.init_ZoomOutTool()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),i=e(9),n=e(8),r=e(11),_=e(306);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:o}=e;return t||o?t&&!o?\"append\":!t&&o?\"intersect\":t&&o?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,o){if(!this.plot_view.frame.bbox.contains(e,t))return null;const s=this.plot_view.renderer_views.get(o);return[s.coordinates.x_scale.invert(e),s.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,o=t.selected.indices;o.sort();for(const e of t.columns()){const s=t.get_array(e);for(let e=0;e<o.length;e++){const t=o[e];s.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const o=e.columns();if(t&&o.length)for(const s of o){let o=e.get_array(s);const i=o.length-t+1;i<1||(n.isArray(o)||(o=Array.from(o),e.data[s]=o),o.splice(0,i))}}_emit_cds_changes(e,t=!0,o=!0,s=!0){o&&e.selection_manager.clear(),t&&e.change.emit(),s&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,o=\"both\"){if(null==this._basepoint)return;const[s,i]=this._basepoint;for(const n of t){const t=this._map_drag(s,i,n),r=this._map_drag(e.sx,e.sy,n);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],h=n.glyph,m=n.data_source,[p,f]=[h.x.field,h.y.field];for(const e of m.selected.indices)!p||\"width\"!=o&&\"both\"!=o||(m.data[p][e]+=d),!f||\"height\"!=o&&\"both\"!=o||(m.data[f][e]+=u);m.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const o of e.columns())i.includes(t,o)||e.get_array(o).push(this.model.empty_value)}_select_event(e,t,o){const s=this.plot_view.frame,{sx:i,sy:n}=e;if(!s.bbox.contains(i,n))return[];const r={type:\"point\",sx:i,sy:n},_=[];for(const e of o){const o=e.get_selection_manager(),s=e.data_source,i=[this.plot_view.renderer_views.get(e)];o.select(i,r,!0,t)&&_.push(e),s.properties.selected.change.emit()}return _}}o.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[s.String],custom_tooltip:[s.String],empty_value:[s.Any],renderers:[s.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}o.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(72),o=i.__importStar(e(18)),n=e(356),a=e(309);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_views.get(n),d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[x,y]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),x&&l.get_array(x).push(c),y&&l.get_array(y).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[x,y,w,v]);else{const e=l.data[x].length-1;x&&(l.data[x][e]=c),y&&(l.data[y][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n",
       "      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(72),_=s.__importStar(e(18)),o=e(8),i=e(356),d=e(309);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(72),a=s.__importStar(e(18)),n=e(356),_=e(309);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(72),a=i.__importStar(e(18)),o=e(8),n=e(361),_=e(309);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n",
       "      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(356);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(72),i=e(8),_=e(361),d=e(309);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n",
       "      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(364),l=e(124),_=s.__importStar(e(18)),n=e(309);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(306),r=e(90),c=e(116),i=e(365),l=n.__importStar(e(18)),a=e(72),_=e(313),d=e(15),h=e(11);class p extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let o;switch(e.type){case\"point\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:r,sy0:c,sy1:i}=e,[l,a]=s.r_invert(t,r),[_,d]=n.r_invert(c,i);o=Object.assign(Object.assign({},e),{x0:l,y0:_,x1:a,y1:d});break}case\"poly\":{const{sx:t,sy:r}=e,c=s.v_invert(t),i=n.v_invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new _.SelectionGeometry(o,t))}}s.SelectToolView=p,p.__name__=\"SelectToolView\";class u extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new d.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=u,u.__name__=\"SelectTool\",u.init_SelectTool()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(306),n=t(124),_=s.__importStar(t(18)),a=t(309);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{x_scales:i,y_scales:n}=this.plot_view.frame,_=new Map;for(const[e,s]of i){const[i,n]=s.r_invert(t,o);_.set(e,{start:i,end:n})}const a=new Map;for(const[t,o]of n){const[i,n]=o.r_invert(e,s);a.set(t,{start:i,end:n})}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),a=e(364),i=e(368),l=e(72),_=o.__importStar(e(18)),c=e(309);class n extends a.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==l.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,a]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(a);this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const a={type:\"poly\",sx:e,sy:s};this._select(a,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";class h extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,i.DEFAULT_POLY_OVERLAY]}),this.register_alias(\"lasso_select\",()=>new h)}}t.LassoSelectTool=h,h.__name__=\"LassoSelectTool\",h.init_LassoSelectTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),i=e(364),o=e(166),a=e(72),_=l.__importStar(e(18)),c=e(9),n=e(309);class h extends i.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const i={type:\"poly\",sx:e,sy:t};this._select(i,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\",s.DEFAULT_POLY_OVERLAY=()=>new o.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class y extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,s.DEFAULT_POLY_OVERLAY]}),this.register_alias(\"poly_select\",()=>new y)}}s.PolySelectTool=y,y.__name__=\"PolySelectTool\",y.init_PolySelectTool()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(370),r=s.__importStar(e(18)),_=e(309);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n",
       "      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(356);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n",
       "      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),i=t(306),o=n.__importStar(t(18)),a=t(309);function _(t,s,e){const n=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,e);n.set(i,{start:t,end:a})}return n}e.update_ranges=_;class h extends i.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:e}=t,n=this.plot_view.frame.bbox;if(!n.contains(s,e)){const t=n.h_range,i=n.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(e<i.start||e>i.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const e=this.plot_view.frame,n=t-this.last_dx,i=s-this.last_dy,o=e.bbox.h_range,a=o.start-n,h=o.end-n,l=e.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,x,y,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=h,m=-n),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(x=l.start,y=l.end,g=0):(x=r,y=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:b}=e,f=_(w,c,u),v=_(b,x,y);this.pan_info={xrs:f,yrs:v,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,!0)}}e.PanToolView=h,h.__name__=\"PanToolView\";class l extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=h,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new l({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new l({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new l({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}e.PanTool=l,l.__name__=\"PanTool\",l.init_PanTool()},\n",
       "      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(124),l=e(19),a=s.__importStar(e(18)),r=e(306),o=e(309);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)<s}function d(e,t,i,s,n){let l=!0;if(null!=n.left&&null!=n.right){const t=i.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function c(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function g(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,_(i))}function y(e,t,i){return e<t.end?(t.start=e,i):(t.start=t.end,t.end=e,_(i))}function f(e,t,i,s){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+i,l+i),o=u(e.start,e.end,s);u(a,r,s)>=o&&(e.start=a,e.end=r)}i.flip_side=_,i.is_near=h,i.is_inside=d,i.sides_inside=u,i.compute_value=c,i.update_range_end_side=g,i.update_range_start_side=y,i.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,l=s.x_scale,a=s.y_scale,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)f(n,a,i,t.x_range);else if(1==this.side){const e=c(n.start,a,i,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,i,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,s,t.y_range);else if(4==this.side){const e=c(l.start,r,s,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,s,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),i=e(364),c=o.__importStar(e(18)),n=e(309);class a extends i.SelectToolView{_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const o=this.model.callback;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,c]of i){const i=c[0].get_selection_manager(),n=c.map(e=>this.plot_view.renderer_views.get(e));if(i.select(n,e,t,s)&&null!=o){const t=n[0].coordinates.x_scale.invert(e.sx),s=n[0].coordinates.y_scale.invert(e.sy),c={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,c)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_views.get(t),i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),c=s.coordinates.y_scale.invert(e.sy),n={geometries:Object.assign(Object.assign({},e),{x:t,y:c}),source:i.source};o.execute(this.model,n)}}}}s.TapToolView=a,a.__name__=\"TapToolView\";class _ extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=a,this.define({behavior:[c.TapBehavior,\"select\"],callback:[c.Any]}),this.register_alias(\"click\",()=>new _({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new _)}}s.TapTool=_,_.__name__=\"TapTool\",_.init_TapTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(306),n=i.__importStar(e(18)),a=e(309),l=e(371);class _ extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,[o,n]=[s.start,s.end],[a,_]=[i.start,i.end];let h,r,d,p;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-a);h=o,r=n,d=a-t*e,p=_-t*e;break}case\"width\":{const t=Math.abs(n-o);h=o-t*e,r=n-t*e,d=a,p=_;break}default:throw new Error(\"this shouldn't have happened\")}const{x_scales:c,y_scales:u}=t,m={xrs:l.update_ranges(c,h,r),yrs:l.update_ranges(u,d,p),factor:e};this.plot_view.push_state(\"wheel_pan\",{range:m}),this.plot_view.update_range(m,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=_,_.__name__=\"WheelPanToolView\";class h extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=_,this.define({dimension:[n.Dimension,\"width\"]}),this.internal({speed:[n.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new h({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new h({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=h,h.__name__=\"WheelPanTool\",h.init_WheelPanTool()},\n",
       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(306),l=e(354),n=s.__importStar(e(18)),_=e(32),h=e(309);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n",
       "      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(295),n=i(168),l=t.__importStar(i(18)),h=i(13),a=i(309);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(81),i=r.__importStar(e(18)),a=e(13),n=e(29);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n",
       "      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(295),i=e(171),r=e(90),l=e(116),c=e(365),a=o.__importStar(e(101)),_=e(187),d=e(72),p=o.__importStar(e(18)),h=e(22),m=e(13),u=e(303),y=e(8),f=e(115),x=e(309),v=e(172);function w(e,t,s,o,n,i){const r={x:n[e],y:i[e]},l={x:n[e+1],y:i[e+1]};let c,_;if(\"span\"==t.type)\"h\"==t.direction?(c=Math.abs(r.x-s),_=Math.abs(l.x-s)):(c=Math.abs(r.y-o),_=Math.abs(l.y-o));else{const e={x:s,y:o};c=a.dist_2_pts(r,e),_=a.dist_2_pts(l,e)}return c<_?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function g(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=w,s._line_hit=g;class b extends n.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map;const{tooltips:e}=this.model;y.isArray(e)&&(this._template_el=this._create_template(e))}remove(){f.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const o=new i.Tooltip({custom:y.isString(t)||y.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,o):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,o),e.set(s.edge_renderer,o))}return(async()=>{const t=await f.build_views(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of t)e.render()})(),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=c.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const o=this.ttmodels.get(s);if(null==o)return;const n=s.get_selection_manager();let i=n.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return void o.clear();const l=n.source,{sx:c,sy:a}=t,_=e.coordinates.x_scale,p=e.coordinates.y_scale,h=_.invert(c),u=p.invert(a),y=e.glyph,f=[];for(const s of i.line_indices){let o,n,r=y._x[s+1],d=y._y[s+1],m=s;switch(this.model.line_policy){case\"interp\":[r,d]=y.get_interpolation_hit(s,t),o=_.compute(r),n=p.compute(d);break;case\"prev\":[[o,n],m]=g(y.sx,y.sy,s);break;case\"next\":[[o,n],m]=g(y.sx,y.sy,s+1);break;case\"nearest\":[[o,n],m]=w(s,t,c,a,y.sx,y.sy),r=y._x[m],d=y._y[m];break;default:[o,n]=[c,a]}const x={index:m,x:h,y:u,sx:c,sy:a,data_x:r,data_y:d,rx:o,ry:n,indices:i.line_indices,name:e.model.name};f.push([o,n,this._render_tooltips(l,m,x)])}for(const t of i.image_indices){const s={index:t.index,x:h,y:u,sx:c,sy:a,name:e.model.name},o=this._render_tooltips(l,t,s);f.push([c,a,o])}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,n=null!=y._y?y._y[o]:void 0;let _,d,p;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,a]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,a])),_=e.x,d=e.y}else[_,d]=[c,a];p=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const m={index:p,x:h,y:u,sx:c,sy:a,data_x:t,data_y:n,indices:i.indices,name:e.model.name};f.push([_,d,this._render_tooltips(l,p,m)])}else for(const n of i.multiline_indices[o.toString()]){let d,m,x,v=y._xs[o][n],b=y._ys[o][n],k=n;switch(this.model.line_policy){case\"interp\":[v,b]=y.get_interpolation_hit(o,n,t),d=_.compute(v),m=p.compute(b);break;case\"prev\":[[d,m],k]=g(y.sxs[o],y.sys[o],n);break;case\"next\":[[d,m],k]=g(y.sxs[o],y.sys[o],n+1);break;case\"nearest\":[[d,m],k]=w(n,t,c,a,y.sxs[o],y.sys[o]),v=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}x=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const A={index:x,x:h,y:u,sx:c,sy:a,data_x:v,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};f.push([d,m,this._render_tooltips(l,x,A)])}if(0==f.length)o.clear();else{const{content:e}=o;d.empty(o.content);for(const[,,t]of f)e.appendChild(t);const[t,s]=f[f.length-1];o.setv({position:[t,s]},{check_eq:!1})}}_emit_callback(e){for(const t of this.computed_renderers){const s=this.plot_view.renderer_views.get(t),o=s.coordinates.x_scale.invert(e.sx),n=s.coordinates.y_scale.invert(e.sy),i=t.data_source.inspected,r=Object.assign({x:o,y:n},e);this.model.callback.execute(this.model,{index:i,geometry:r,renderer:t})}}_create_template(e){const t=d.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[s]of e){const e=d.div({style:{display:\"table-row\"}});t.appendChild(e);const o=d.div({style:{display:\"table-cell\"},class:v.bk_tooltip_row_label},0!=s.length?s+\": \":\"\");e.appendChild(o);const n=d.span();n.dataset.value=\"\";const i=d.span({class:v.bk_tooltip_color_block},\" \");i.dataset.swatch=\"\",d.undisplay(i);const r=d.div({style:{display:\"table-cell\"},class:v.bk_tooltip_row_value},n,i);e.appendChild(r)}return t}_render_template(e,t,s,o,n){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),c=/\\$color(\\[.*\\])?:(\\w*)/;for(const[[,e],i]of u.enumerate(t)){const t=e.match(c);if(null!=t){const[,e=\"\",n]=t,c=s.get_column(n);if(null==c){r[i].textContent=n+\" unknown\";continue}const a=e.indexOf(\"hex\")>=0,_=e.indexOf(\"swatch\")>=0;let p=y.isNumber(o)?c[o]:null;if(null==p){r[i].textContent=\"(null)\";continue}a&&(p=h.color2hex(p)),r[i].textContent=p,_&&(l[i].style.backgroundColor=p,d.display(l[i]))}else{const t=_.replace_placeholders(e.replace(\"$~\",\"$data_\"),s,o,this.model.formatters,n);if(y.isString(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,s){const o=this.model.tooltips;if(y.isString(o)){const n=_.replace_placeholders({html:o},e,t,this.model.formatters,s);return d.div({},n)}return y.isFunction(o)?o(e,s):this._render_template(this._template_el,o,e,t,s)}}s.HoverToolView=b,b.__name__=\"HoverToolView\";class k extends n.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=b,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new k)}}s.HoverTool=k,k.__name__=\"HoverTool\",k.init_HoverTool()},\n",
       "      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(15),s=t(81),l=t(295),c=t(303);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n",
       "      function _(o,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=o(1).__importStar(o(18)),e=o(9),n=o(13),r=o(305),l=o(379),c=o(272),h=o(212);class a extends r.ToolbarBase{constructor(o){super(o)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},i=[],r=[];for(const o of this.help)e.includes(r,o.redirect)||(i.push(o),r.push(o.redirect));this._proxied_tools.push(...i),this.help=i;for(const[o,t]of n.entries(this.gestures)){o in s||(s[o]={});for(const i of t.tools)i.type in s[o]||(s[o][i.type]=[]),s[o][i.type].push(i)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const c=(o,t=!1)=>{const s=new l.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of n.keys(s)){const t=this.gestures[o];t.tools=[];for(const i of n.keys(s[o])){const e=s[o][i];if(e.length>0)if(\"multi\"==o)for(const o of e){const s=c([o]);t.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const o=c(e);t.tools.push(o),this.connect(o.properties.active.change,()=>this._active_change(o))}}}this.actions=[];for(const[o,s]of n.entries(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(c([o]));else s.length>0&&this.actions.push(c(s));this.inspectors=[];for(const t of n.values(o))t.length>0&&this.inspectors.push(c(t,!0));for(const[o,t]of n.entries(this.gestures))0!=t.tools.length&&(t.tools=e.sort_by(t.tools,o=>o.default_order),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=a,a.__name__=\"ProxyToolbar\",a.init_ProxyToolbar();class _ extends c.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new h.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=_,_.__name__=\"ToolbarBoxView\";class p extends c.LayoutDOM{constructor(o){super(o)}static init_ToolbarBox(){this.prototype.default_view=_,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=p,p.__name__=\"ToolbarBox\",p.init_ToolbarBox()},\n",
       "      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(78),d=e(115),c=e(72),l=e(382);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n",
       "      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),r=e(273);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n",
       "      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(384),s=n(19),c=n(381);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n",
       "      function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(19),o=e(5),r=e(385),i=e(386),c=e(387);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(\"Error reply \"+s.content.text);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n",
       "      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(29);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n",
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       "      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(385),c=e(19);class i{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):c.logger.debug(\"Doing nothing with message \"+e.msgtype())}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof o.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),c=s.Message.create(\"PATCH-DOC\",{},n);this._connection.send(c)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){c.logger.trace(\"Unhandled OK reply to \"+e.reqid())}_handle_error(e){c.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=i,i.__name__=\"ClientSession\"},\n",
       "      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1);var r=this&&this.__asyncValues||function(e){if(!Symbol.asyncIterator)throw new TypeError(\"Symbol.asyncIterator is not defined.\");var o,t=e[Symbol.asyncIterator];return t?t.call(e):(e=\"function\"==typeof __values?__values(e):e[Symbol.iterator](),o={},n(\"next\"),n(\"throw\"),n(\"return\"),o[Symbol.asyncIterator]=function(){return this},o);function n(t){o[t]=e[t]&&function(o){return new Promise((function(n,r){(function(e,o,t,n){Promise.resolve(n).then((function(o){e({value:o,done:t})}),o)})(n,r,(o=e[t](o)).done,o.value)}))}}};const s=e(5),i=e(386),l=e(19),a=e(72),c=e(13),u=e(381),f=e(382),g=n.__importDefault(e(73)),m=n.__importDefault(e(311)),d=n.__importDefault(e(389));function p(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function _(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){l.logger.info(\"Registering Jupyter comms for target \"+e);const t=Jupyter.notebook.kernel.comm_manager;try{t.register_target(e,t=>{l.logger.info(\"Registering Jupyter comms for target \"+e);const n=new i.Receiver;t.on_msg(p.bind(o,n))})}catch(e){l.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(o.roots()[0].id in t.kernels){l.logger.info(\"Registering JupyterLab comms for target \"+e);const n=t.kernels[o.roots()[0].id];try{n.registerCommTarget(e,t=>{l.logger.info(\"Registering JupyterLab comms for target \"+e);const n=new i.Receiver;t.onMsg=p.bind(o,n)})}catch(e){l.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(\"undefined\"!=typeof google&&null!=google.colab.kernel){l.logger.info(\"Registering Google Colab comms for target \"+e);const t=google.colab.kernel.comms;try{t.registerTarget(e,async t=>{var n,s,a;l.logger.info(\"Registering Google Colab comms for target \"+e);const c=new i.Receiver;try{for(var u,f=r(t.messages);!(u=await f.next()).done;){const e=u.value,t={data:e.data},n=[];for(const o of null!==(a=e.buffers)&&void 0!==a?a:[])n.push(new DataView(o));const r={content:t,buffers:n};p.bind(o)(c,r)}}catch(e){n={error:e}}finally{try{u&&!u.done&&(s=f.return)&&await s.call(f)}finally{if(n)throw n.error}}})}catch(e){l.logger.warn(`Google Colab comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else console.warn(\"Jupyter notebooks comms not available. push_notebook() will not function. If running JupyterLab ensure the latest @bokeh/jupyter_bokeh extension is installed. In an exported notebook this warning is expected.\")}a.stylesheet.append(g.default),a.stylesheet.append(m.default),a.stylesheet.append(d.default),t.kernels={},t.embed_items_notebook=function(e,o){if(1!=c.size(e))throw new Error(\"embed_items_notebook expects exactly one document in docs_json\");const t=s.Document.from_json(c.values(e)[0]);for(const e of o){null!=e.notebook_comms_target&&_(e.notebook_comms_target,t);const o=f._resolve_element(e),n=f._resolve_root_elements(e);u.add_document_standalone(t,o,n)}}},\n",
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{});\n",
       "      })\n",
       "\n",
       "\n",
       "      /* END bokeh.min.js */\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      /* BEGIN bokeh-widgets.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
       "      */\n",
       "      (function(root, factory) {\n",
       "        factory(root[\"Bokeh\"], \"2.2.3\");\n",
       "      })(this, function(Bokeh, version) {\n",
       "        var define;\n",
       "        return (function(modules, entry, aliases, externals) {\n",
       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
       "          if (bokeh != null) {\n",
       "            return bokeh.register_plugin(modules, entry, aliases);\n",
       "          } else {\n",
       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
       "          }\n",
       "        })\n",
       "      ({\n",
       "      402: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(403));o.Widgets=r;e(7).register_models(r)},\n",
       "      403: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(404);t.AbstractButton=a.AbstractButton;var o=r(407);t.AbstractIcon=o.AbstractIcon;var u=r(408);t.AutocompleteInput=u.AutocompleteInput;var n=r(413);t.Button=n.Button;var i=r(414);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(416);t.CheckboxGroup=v.CheckboxGroup;var p=r(418);t.ColorPicker=p.ColorPicker;var c=r(419);t.DatePicker=c.DatePicker;var l=r(422);t.DateRangeSlider=l.DateRangeSlider;var d=r(428);t.DateSlider=d.DateSlider;var I=r(429);t.Div=I.Div;var g=r(433);t.Dropdown=g.Dropdown;var S=r(434);t.FileInput=S.FileInput;var P=r(410);t.InputWidget=P.InputWidget;var k=r(430);t.Markup=k.Markup;var x=r(435);t.MultiSelect=x.MultiSelect;var D=r(436);t.Paragraph=D.Paragraph;var b=r(437);t.PasswordInput=b.PasswordInput;var s=r(438);t.MultiChoice=s.MultiChoice;var h=r(441);t.NumericInput=h.NumericInput;var A=r(444);t.PreText=A.PreText;var B=r(445);t.RadioButtonGroup=B.RadioButtonGroup;var C=r(446);t.RadioGroup=C.RadioGroup;var G=r(447);t.RangeSlider=G.RangeSlider;var R=r(448);t.Select=R.Select;var T=r(449);t.Slider=T.Slider;var M=r(450);t.Spinner=M.Spinner;var m=r(409);t.TextInput=m.TextInput;var w=r(451);t.TextAreaInput=w.TextAreaInput;var W=r(452);t.Toggle=W.Toggle;var _=r(472);t.Widget=_.Widget},\n",
       "      404: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=i.__importStar(t(18)),o=t(72),l=t(115),r=t(405),_=t(281),c=i.__importDefault(t(283));class u extends r.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await l.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),c.default]}_render_button(...t){return o.button({type:\"button\",disabled:this.model.disabled,class:[_.bk_btn,_.bk_btn_type(this.model.button_type)]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",()=>this.click()),null!=this.icon_view&&(o.prepend(this.button_el,this.icon_view.el,o.nbsp()),this.icon_view.render()),this.group_el=o.div({class:_.bk_btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=u,u.__name__=\"AbstractButtonView\";class a extends r.Control{constructor(t){super(t)}static init_AbstractButton(){this.define({label:[s.String,\"Button\"],icon:[s.Instance],button_type:[s.ButtonType,\"default\"]})}}n.AbstractButton=a,a.__name__=\"AbstractButton\",a.init_AbstractButton()},\n",
       "      405: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(472),n=e(72);class i extends s.WidgetView{connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.controls())n.toggle_attribute(e,\"disabled\",this.model.disabled)})}}o.ControlView=i,i.__name__=\"ControlView\";class l extends s.Widget{constructor(e){super(e)}}o.Control=l,l.__name__=\"Control\"},\n",
       "      472: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(276),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
       "      407: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(81),n=e(78);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n",
       "      408: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(409),h=e(72),_=i.__importStar(e(18)),o=e(10),u=e(173),r=e(282),c=i.__importDefault(e(284));class l extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n",
       "      409: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(410),l=e(72),p=n.__importStar(e(18)),u=e(412);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n",
       "      410: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(405),s=t(72),_=n.__importStar(t(18)),o=n.__importDefault(t(411)),r=t(412);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n",
       "      411: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper {\\n  display: inherit;\\n  width: inherit;\\n  height: inherit;\\n  position: relative;\\n  overflow: hidden;\\n  padding: 0;\\n  vertical-align: middle;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper input {\\n  padding-right: 20px;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn {\\n  position: absolute;\\n  display: block;\\n  height: 50%;\\n  min-height: 0;\\n  min-width: 0;\\n  width: 30px;\\n  padding: 0;\\n  margin: 0;\\n  right: 0;\\n  border: none;\\n  background: none;\\n  cursor: pointer;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before {\\n  content: \"\";\\n  display: inline-block;\\n  transform: translateY(-50%);\\n  border-left: 5px solid transparent;\\n  border-right: 5px solid transparent;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up {\\n  top: 0;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before {\\n  border-bottom: 5px solid black;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before {\\n  border-bottom-color: grey;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down {\\n  bottom: 0;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before {\\n  border-top: 5px solid black;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before {\\n  border-top-color: grey;\\n}\\n'},\n",
       "      412: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n",
       "      413: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(404),i=t(313);class s extends o.AbstractButtonView{click(){this.model.trigger_event(new i.ButtonClick),super.click()}}n.ButtonView=s,s.__name__=\"ButtonView\";class u extends o.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}n.Button=u,u.__name__=\"Button\",u.init_Button()},\n",
       "      414: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(415),s=t(72),n=i.__importStar(t(18)),a=t(173);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n",
       "      415: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(405),i=t(72),r=n.__importStar(t(18)),_=t(281),u=n.__importDefault(t(283));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n",
       "      416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(417),o=e(72),c=e(9),a=n.__importStar(e(18)),l=e(173),d=e(412);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n",
       "      417: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(405),r=s.__importDefault(e(411));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n",
       "      418: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(410),s=e(72),l=n.__importStar(e(18)),r=e(412);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n",
       "      419: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(420)),a=e(410),l=e(72),o=n.__importStar(e(18)),r=e(8),d=e(412),c=n.__importDefault(e(421));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n",
       "      420: function _(e,t,n){\n",
       "      /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n",
       "      /*! *****************************************************************************\n",
       "              Copyright (c) Microsoft Corporation. All rights reserved.\n",
       "              Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n",
       "              this file except in compliance with the License. You may obtain a copy of the\n",
       "              License at http://www.apache.org/licenses/LICENSE-2.0\n",
       "          \n",
       "              THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
       "              KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n",
       "              WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n",
       "              MERCHANTABLITY OR NON-INFRINGEMENT.\n",
       "          \n",
       "              See the Apache Version 2.0 License for specific language governing permissions\n",
       "              and limitations under the License.\n",
       "              ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n<a;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return e}).apply(this,arguments)},t=[\"onChange\",\"onClose\",\"onDayCreate\",\"onDestroy\",\"onKeyDown\",\"onMonthChange\",\"onOpen\",\"onParseConfig\",\"onReady\",\"onValueUpdate\",\"onYearChange\",\"onPreCalendarPosition\"],n={_disable:[],_enable:[],allowInput:!1,altFormat:\"F j, Y\",altInput:!1,altInputClass:\"form-control input\",animate:\"object\"==typeof window&&-1===window.navigator.userAgent.indexOf(\"MSIE\"),ariaDateFormat:\"F j, Y\",clickOpens:!0,closeOnSelect:!0,conjunction:\", \",dateFormat:\"Y-m-d\",defaultHour:12,defaultMinute:0,defaultSeconds:0,disable:[],disableMobile:!1,enable:[],enableSeconds:!1,enableTime:!1,errorHandler:function(e){return\"undefined\"!=typeof console&&console.warn(e)},getWeek:function(e){var t=new Date(e.getTime());t.setHours(0,0,0,0),t.setDate(t.getDate()+3-(t.getDay()+6)%7);var n=new Date(t.getFullYear(),0,4);return 1+Math.round(((t.getTime()-n.getTime())/864e5-3+(n.getDay()+6)%7)/7)},hourIncrement:1,ignoredFocusElements:[],inline:!1,locale:\"default\",minuteIncrement:5,mode:\"single\",monthSelectorType:\"dropdown\",nextArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' viewBox='0 0 17 17'><g></g><path d='M13.207 8.472l-7.854 7.854-0.707-0.707 7.146-7.146-7.146-7.148 0.707-0.707 7.854 7.854z' /></svg>\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"<svg version='1.1' xmlns='http://www.w3.org/2000/svg' xmlns:xlink='http://www.w3.org/1999/xlink' 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0!==n&&r.getTime()===n.getTime())return a;if(\"string\"==typeof r&&void 0!==n){var l=h.parseDate(r,void 0,!0);return l&&l.getTime()===n.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==n&&r.from&&r.to&&n.getTime()>=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u<a.length;u++)h.config[a[u]]=!0===h.config[a[u]]||\"true\"===h.config[a[u]];for(t.filter((function(e){return void 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border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(0, 0, 0, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n",
       "      422: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(186)),r=e(423);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n",
       "      423: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=s.__importStar(t(424)),r=t(72),o=t(9),n=t(405),a=t(131),d=t(425),_=t(412),h=s.__importDefault(t(426)),c=s.__importDefault(t(427));class u extends n.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:t,orientation:e,tooltips:i}=this.model.properties;this.on_change([t,e,i],()=>this.render());const{start:s,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([s,l,r,o],()=>{const{start:t,end:e,value:i,step:s}=this._calc_to();this.noUiSlider.updateOptions({range:{min:t,max:e},start:i,step:s})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),h.default,c.default]}_update_title(){r.empty(this.title_el);const t=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=t?\"none\":\"\",!t&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:t}=this._calc_to(),e=t.map(t=>this.model.pretty(t)).join(\" .. \");this.title_el.appendChild(r.span({class:d.bk_slider_value},e))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}render(){super.render();const{start:t,end:e,value:i,step:s}=this._calc_to();let n;if(this.model.tooltips){const t={to:t=>this.model.pretty(t)};n=o.repeat(t,i.length)}else n=!1;if(null==this.slider_el){this.slider_el=r.div(),l.create(this.slider_el,{range:{min:t,max:e},start:i,step:s,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:n,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(t,e,i)=>this._slide(i)),this.noUiSlider.on(\"change\",(t,e,i)=>this._change(i));const o=(t,e)=>{if(!n)return;this.slider_el.querySelectorAll(\".noUi-handle\")[t].querySelector(\".noUi-tooltip\").style.display=e?\"block\":\"\"};this.noUiSlider.on(\"start\",(t,e)=>o(e,!0)),this.noUiSlider.on(\"end\",(t,e)=>o(e,!1))}else this.noUiSlider.updateOptions({range:{min:t,max:e},start:i,step:s});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=r.div({class:d.bk_slider_title}),this._update_title(),this.group_el=r.div({class:_.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(t){this.model.value=this._calc_from(t)}_change(t){this.model.value=this._calc_from(t),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([t]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(t):t}}i.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(t){return t}}i.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends n.Control{constructor(t){super(t),this.connected=!1}static init_AbstractSlider(){this.define(({Any:t,Boolean:e,Number:i,String:s,Color:l,Or:r,Enum:o,Ref:n})=>({title:[s,\"\"],show_value:[e,!0],start:[t],end:[t],value:[t],value_throttled:[t],step:[i,1],format:[r(s,n(a.TickFormatter))],direction:[o(\"ltr\",\"rtl\"),\"ltr\"],tooltips:[e,!0],bar_color:[l,\"#e6e6e6\"]}))}_formatter(t,e){return\"\"+t}pretty(t){return this._formatter(t,this.format)}}i.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n",
       "      424: function _(t,e,r){\n",
       "      /*! nouislider - 14.6.0 - 6/27/2020 */\n",
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n=e[0]+e[1],o=t.spectrum.xVal[0];if(n/(t.spectrum.xVal[t.spectrum.xVal.length-1]-o)>1)throw new Error(\"noUiSlider (14.6.0): 'padding' option must not exceed 100% of the range.\")}}function H(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider (14.6.0): 'direction' option was not recognized.\")}}function j(t,e){if(\"string\"!=typeof e)throw new Error(\"noUiSlider (14.6.0): 'behaviour' must be a string containing options.\");var r=e.indexOf(\"tap\")>=0,n=e.indexOf(\"drag\")>=0,i=e.indexOf(\"fixed\")>=0,o=e.indexOf(\"snap\")>=0,s=e.indexOf(\"hover\")>=0,a=e.indexOf(\"unconstrained\")>=0;if(i){if(2!==t.handles)throw new Error(\"noUiSlider (14.6.0): 'fixed' behaviour must be used with 2 handles\");O(t,t.start[1]-t.start[0])}if(a&&(t.margin||t.limit))throw new Error(\"noUiSlider (14.6.0): 'unconstrained' behaviour cannot be used with margin or limit\");t.events={tap:r||o,drag:n,fixed:i,snap:o,hover:s,unconstrained:a}}function 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W(t,e){\"mouseout\"===t.type&&\"HTML\"===t.target.nodeName&&null===t.relatedTarget&&G(t,e)}function $(t,e){if(-1===navigator.appVersion.indexOf(\"MSIE 9\")&&0===t.buttons&&0!==e.buttonsProperty)return G(t,e);var n=(r.dir?-1:1)*(t.calcPoint-e.startCalcPoint);it(n>0,100*n/e.baseSize,e.locations,e.handleNumbers)}function G(t,e){e.handle&&(c(e.handle,r.cssClasses.active),N-=1),e.listeners.forEach((function(t){A.removeEventListener(t[0],t[1])})),0===N&&(c(w,r.cssClasses.drag),st(),t.cursor&&(V.style.cursor=\"\",V.removeEventListener(\"selectstart\",n))),e.handleNumbers.forEach((function(t){et(\"change\",t),et(\"set\",t),et(\"end\",t)}))}function J(t,e){if(e.handleNumbers.some(j))return!1;var i;1===e.handleNumbers.length&&(i=f[e.handleNumbers[0]].children[0],N+=1,u(i,r.cssClasses.active)),t.stopPropagation();var o=[],s=_(x.move,A,$,{target:t.target,handle:i,listeners:o,startCalcPoint:t.calcPoint,baseSize:X(),pageOffset:t.pageOffset,handleNumbers:e.handleNumbers,buttonsProperty:t.buttons,locations:C.slice()}),a=_(x.end,A,G,{target:t.target,handle:i,listeners:o,doNotReject:!0,handleNumbers:e.handleNumbers}),l=_(\"mouseout\",A,W,{target:t.target,handle:i,listeners:o,doNotReject:!0,handleNumbers:e.handleNumbers});o.push.apply(o,s.concat(a,l)),t.cursor&&(V.style.cursor=getComputedStyle(t.target).cursor,f.length>1&&u(w,r.cssClasses.drag),V.addEventListener(\"selectstart\",n,!1)),e.handleNumbers.forEach((function(t){et(\"start\",t)}))}function K(t){if(!t.buttons&&!t.touches)return!1;t.stopPropagation();var e=I(t.calcPoint),n=function(t){var e=100,r=!1;return f.forEach((function(n,i){if(!j(i)){var o=C[i],s=Math.abs(o-t);(s<e||s<=e&&t>o||100===s&&100===e)&&(r=i,e=s)}})),r}(e);if(!1===n)return!1;r.events.snap||o(w,r.cssClasses.tap,r.animationDuration),at(n,e,!0,!0),st(),et(\"slide\",n,!0),et(\"update\",n,!0),et(\"change\",n,!0),et(\"set\",n,!0),r.events.snap&&J(t,{handleNumbers:[n]})}function Q(t){var e=I(t.calcPoint),r=y.getStep(e),n=y.fromStepping(r);Object.keys(k).forEach((function(t){\"hover\"===t.split(\".\")[0]&&k[t].forEach((function(t){t.call(g,n)}))}))}function Z(t,e){k[t]=k[t]||[],k[t].push(e),\"update\"===t.split(\".\")[0]&&f.forEach((function(t,e){et(\"update\",e)}))}function tt(t){var e=t&&t.split(\".\")[0],r=e&&t.substring(e.length);Object.keys(k).forEach((function(t){var n=t.split(\".\")[0],i=t.substring(n.length);e&&e!==n||r&&r!==i||delete k[t]}))}function et(t,e,n){Object.keys(k).forEach((function(i){var o=i.split(\".\")[0];t===o&&k[i].forEach((function(t){t.call(g,E.map(r.format.to),e,E.slice(),n||!1,C.slice(),g)}))}))}function rt(t,e,n,i,o,a){var l;return f.length>1&&!r.events.unconstrained&&(i&&e>0&&(l=y.getAbsoluteDistance(t[e-1],r.margin,0),n=Math.max(n,l)),o&&e<f.length-1&&(l=y.getAbsoluteDistance(t[e+1],r.margin,1),n=Math.min(n,l))),f.length>1&&r.limit&&(i&&e>0&&(l=y.getAbsoluteDistance(t[e-1],r.limit,0),n=Math.min(n,l)),o&&e<f.length-1&&(l=y.getAbsoluteDistance(t[e+1],r.limit,1),n=Math.max(n,l))),r.padding&&(0===e&&(l=y.getAbsoluteDistance(0,r.padding[0],0),n=Math.max(n,l)),e===f.length-1&&(l=y.getAbsoluteDistance(100,r.padding[1],1),n=Math.min(n,l))),!((n=s(n=y.getStep(n)))===t[e]&&!a)&&n}function nt(t,e){var n=r.ort;return(n?e:t)+\", \"+(n?t:e)}function it(t,e,r,n){var i=r.slice(),o=[!t,t],s=[t,!t];n=n.slice(),t&&n.reverse(),n.length>1?n.forEach((function(t,r){var n=rt(i,t,i[t]+e,o[r],s[r],!1);!1===n?e=0:(e=n-i[t],i[t]=n)})):o=s=[!0];var a=!1;n.forEach((function(t,n){a=at(t,r[t]+e,o[n],s[n])||a})),a&&n.forEach((function(t){et(\"update\",t),et(\"slide\",t)}))}function ot(t,e){return r.dir?100-t-e:t}function st(){P.forEach((function(t){var e=C[t]>50?-1:1,r=3+(f.length+e*t);f[t].style.zIndex=r}))}function at(t,e,n,i){return!1!==(e=rt(C,t,e,n,i,!1))&&(function(t,e){C[t]=e,E[t]=y.fromStepping(e);var n=\"translate(\"+nt(10*(ot(e,0)-D)+\"%\",\"0\")+\")\";f[t].style[r.transformRule]=n,lt(t),lt(t+1)}(t,e),!0)}function lt(t){if(d[t]){var e=0,n=100;0!==t&&(e=C[t-1]),t!==d.length-1&&(n=C[t]);var i=n-e,o=\"translate(\"+nt(ot(e,i)+\"%\",\"0\")+\")\",s=\"scale(\"+nt(i/100,\"1\")+\")\";d[t].style[r.transformRule]=o+\" \"+s}}function ut(t,e){return null===t||!1===t||void 0===t?C[e]:(\"number\"==typeof t&&(t=String(t)),t=r.format.from(t),!1===(t=y.toStepping(t))||isNaN(t)?C[e]:t)}function ct(t,e){var n=a(t),i=void 0===C[0];e=void 0===e||!!e,r.animate&&!i&&o(w,r.cssClasses.tap,r.animationDuration),P.forEach((function(t){at(t,ut(n[t],t),!0,!1)}));for(var s=1===P.length?0:1;s<P.length;++s)P.forEach((function(t){at(t,C[t],!0,!0)}));st(),P.forEach((function(t){et(\"update\",t),null!==n[t]&&e&&et(\"set\",t)}))}function pt(){var t=E.map(r.format.to);return 1===t.length?t[0]:t}function ft(t){var e=C[t],n=y.getNearbySteps(e),i=E[t],o=n.thisStep.step,s=null;if(r.snap)return[i-n.stepBefore.startValue||null,n.stepAfter.startValue-i||null];!1!==o&&i+o>n.stepAfter.startValue&&(o=n.stepAfter.startValue-i),s=i>n.thisStep.startValue?n.thisStep.step:!1!==n.stepBefore.step&&i-n.stepBefore.highestStep,100===e?o=null:0===e&&(s=null);var a=y.countStepDecimals();return null!==o&&!1!==o&&(o=Number(o.toFixed(a))),null!==s&&!1!==s&&(s=Number(s.toFixed(a))),[s,o]}return u(v=w,r.cssClasses.target),0===r.dir?u(v,r.cssClasses.ltr):u(v,r.cssClasses.rtl),0===r.ort?u(v,r.cssClasses.horizontal):u(v,r.cssClasses.vertical),u(v,\"rtl\"===getComputedStyle(v).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),l=M(v,r.cssClasses.base),function(t,e){var n=M(e,r.cssClasses.connects);f=[],(d=[]).push(L(n,t[0]));for(var i=0;i<r.handles;i++)f.push(O(e,i)),P[i]=i,d.push(L(n,t[i+1]))}(r.connect,l),(b=r.events).fixed||f.forEach((function(t,e){_(x.start,t.children[0],J,{handleNumbers:[e]})})),b.tap&&_(x.start,l,K,{}),b.hover&&_(x.move,l,Q,{hover:!0}),b.drag&&d.forEach((function(t,e){if(!1!==t&&0!==e&&e!==d.length-1){var n=f[e-1],i=f[e],o=[t];u(t,r.cssClasses.draggable),b.fixed&&(o.push(n.children[0]),o.push(i.children[0])),o.forEach((function(t){_(x.start,t,J,{handles:[n,i],handleNumbers:[e-1,e]})}))}})),ct(r.start),r.pips&&q(r.pips),r.tooltips&&R(),Z(\"update\",(function(t,e,n,i,o){P.forEach((function(t){var e=f[t],i=rt(C,t,0,!0,!0,!0),s=rt(C,t,100,!0,!0,!0),a=o[t],l=r.ariaFormat.to(n[t]);i=y.fromStepping(i).toFixed(1),s=y.fromStepping(s).toFixed(1),a=y.fromStepping(a).toFixed(1),e.children[0].setAttribute(\"aria-valuemin\",i),e.children[0].setAttribute(\"aria-valuemax\",s),e.children[0].setAttribute(\"aria-valuenow\",a),e.children[0].setAttribute(\"aria-valuetext\",l)}))})),g={destroy:function(){for(var t in r.cssClasses)r.cssClasses.hasOwnProperty(t)&&c(w,r.cssClasses[t]);for(;w.firstChild;)w.removeChild(w.firstChild);delete w.noUiSlider},steps:function(){return P.map(ft)},on:Z,off:tt,get:pt,set:ct,setHandle:function(t,e,r){if(!((t=Number(t))>=0&&t<P.length))throw new Error(\"noUiSlider (14.6.0): invalid handle number, got: \"+t);at(t,ut(e,t),!0,!0),et(\"update\",t),r&&et(\"set\",t)},reset:function(t){ct(r.start,t)},__moveHandles:function(t,e,r){it(t,e,C,r)},options:i,updateOptions:function(t,e){var n=pt(),o=[\"margin\",\"limit\",\"padding\",\"range\",\"animate\",\"snap\",\"step\",\"format\",\"pips\",\"tooltips\"];o.forEach((function(e){void 0!==t[e]&&(i[e]=t[e])}));var s=Y(i);o.forEach((function(e){void 0!==t[e]&&(r[e]=s[e])})),y=s.spectrum,r.margin=s.margin,r.limit=s.limit,r.padding=s.padding,r.pips?q(r.pips):B(),r.tooltips?R():F(),C=[],ct(t.start||n,e)},target:w,removePips:B,removeTooltips:F,getTooltips:function(){return m},getOrigins:function(){return f},pips:q}}return{__spectrum:x,version:t,cssClasses:w,create:function(t,e){if(!t||!t.nodeName)throw new Error(\"noUiSlider (14.6.0): create requires a single element, got: \"+t);if(t.noUiSlider)throw new Error(\"noUiSlider (14.6.0): Slider was already initialized.\");var r=I(t,Y(e),e);return t.noUiSlider=r,r}}},\"function\"==typeof define&&define.amd?define([],n):\"object\"==typeof r?e.exports=n():window.noUiSlider=n()},\n",
       "      425: function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_slider_value=\"bk-slider-value\",i.bk_slider_title=\"bk-slider-title\"},\n",
       "      426: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root {\\n  /*! nouislider - 14.6.0 - 6/27/2020 */\\n  /* Functional styling;\\n * These styles are required for noUiSlider to function.\\n * You don't need to change these rules to apply your design.\\n */\\n  /* Wrapper for all connect elements.\\n */\\n  /* Offset direction\\n */\\n  /* Give origins 0 height/width so they don't interfere with clicking the\\n * connect elements.\\n */\\n  /* Slider size and handle placement;\\n */\\n  /* Styling;\\n * Giving the connect element a border radius causes issues with using transform: scale\\n */\\n  /* Handles and cursors;\\n */\\n  /* Handle stripes;\\n */\\n  /* Disabled state;\\n */\\n  /* Base;\\n *\\n */\\n  /* Values;\\n *\\n */\\n  /* Markings;\\n *\\n */\\n  /* Horizontal layout;\\n *\\n */\\n  /* Vertical layout;\\n *\\n */\\n}\\n.bk-root .noUi-target,\\n.bk-root .noUi-target * {\\n  -webkit-touch-callout: none;\\n  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\\n  -webkit-user-select: none;\\n  -ms-touch-action: none;\\n  touch-action: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  user-select: none;\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-target {\\n  position: relative;\\n}\\n.bk-root .noUi-base,\\n.bk-root .noUi-connects {\\n  width: 100%;\\n  height: 100%;\\n  position: relative;\\n  z-index: 1;\\n}\\n.bk-root .noUi-connects {\\n  overflow: hidden;\\n  z-index: 0;\\n}\\n.bk-root .noUi-connect,\\n.bk-root .noUi-origin {\\n  will-change: transform;\\n  position: absolute;\\n  z-index: 1;\\n  top: 0;\\n  right: 0;\\n  -ms-transform-origin: 0 0;\\n  -webkit-transform-origin: 0 0;\\n  -webkit-transform-style: preserve-3d;\\n  transform-origin: 0 0;\\n  transform-style: flat;\\n}\\n.bk-root .noUi-connect {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-origin {\\n  height: 10%;\\n  width: 10%;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-origin {\\n  left: 0;\\n  right: auto;\\n}\\n.bk-root .noUi-vertical .noUi-origin {\\n  width: 0;\\n}\\n.bk-root .noUi-horizontal .noUi-origin {\\n  height: 0;\\n}\\n.bk-root .noUi-handle {\\n  -webkit-backface-visibility: hidden;\\n  backface-visibility: hidden;\\n  position: absolute;\\n}\\n.bk-root .noUi-touch-area {\\n  height: 100%;\\n  width: 100%;\\n}\\n.bk-root .noUi-state-tap .noUi-connect,\\n.bk-root .noUi-state-tap .noUi-origin {\\n  -webkit-transition: transform 0.3s;\\n  transition: transform 0.3s;\\n}\\n.bk-root .noUi-state-drag * {\\n  cursor: inherit !important;\\n}\\n.bk-root .noUi-horizontal {\\n  height: 18px;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 34px;\\n  height: 28px;\\n  right: -17px;\\n  top: -6px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 18px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 28px;\\n  height: 34px;\\n  right: -6px;\\n  top: -17px;\\n}\\n.bk-root .noUi-txt-dir-rtl.noUi-horizontal .noUi-handle {\\n  left: -17px;\\n  right: auto;\\n}\\n.bk-root .noUi-target {\\n  background: #FAFAFA;\\n  border-radius: 4px;\\n  border: 1px solid #D3D3D3;\\n  box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .noUi-connects {\\n  border-radius: 3px;\\n}\\n.bk-root .noUi-connect {\\n  background: #3FB8AF;\\n}\\n.bk-root .noUi-draggable {\\n  cursor: ew-resize;\\n}\\n.bk-root .noUi-vertical .noUi-draggable {\\n  cursor: ns-resize;\\n}\\n.bk-root .noUi-handle {\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #FFF;\\n  cursor: default;\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-active {\\n  box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .noUi-handle:before,\\n.bk-root .noUi-handle:after {\\n  content: \\\"\\\";\\n  display: block;\\n  position: absolute;\\n  height: 14px;\\n  width: 1px;\\n  background: #E8E7E6;\\n  left: 14px;\\n  top: 6px;\\n}\\n.bk-root .noUi-handle:after {\\n  left: 17px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:before,\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  width: 14px;\\n  height: 1px;\\n  left: 6px;\\n  top: 14px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  top: 17px;\\n}\\n.bk-root [disabled] .noUi-connect {\\n  background: #B8B8B8;\\n}\\n.bk-root [disabled].noUi-target,\\n.bk-root [disabled].noUi-handle,\\n.bk-root [disabled] .noUi-handle {\\n  cursor: not-allowed;\\n}\\n.bk-root .noUi-pips,\\n.bk-root .noUi-pips * {\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-pips {\\n  position: absolute;\\n  color: #999;\\n}\\n.bk-root .noUi-value {\\n  position: absolute;\\n  white-space: nowrap;\\n  text-align: center;\\n}\\n.bk-root .noUi-value-sub {\\n  color: #ccc;\\n  font-size: 10px;\\n}\\n.bk-root .noUi-marker {\\n  position: absolute;\\n  background: #CCC;\\n}\\n.bk-root .noUi-marker-sub {\\n  background: #AAA;\\n}\\n.bk-root .noUi-marker-large {\\n  background: #AAA;\\n}\\n.bk-root .noUi-pips-horizontal {\\n  padding: 10px 0;\\n  height: 80px;\\n  top: 100%;\\n  left: 0;\\n  width: 100%;\\n}\\n.bk-root .noUi-value-horizontal {\\n  -webkit-transform: translate(-50%, 50%);\\n  transform: translate(-50%, 50%);\\n}\\n.bk-root .noUi-rtl .noUi-value-horizontal {\\n  -webkit-transform: translate(50%, 50%);\\n  transform: translate(50%, 50%);\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker {\\n  margin-left: -1px;\\n  width: 2px;\\n  height: 5px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-sub {\\n  height: 10px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-large {\\n  height: 15px;\\n}\\n.bk-root .noUi-pips-vertical {\\n  padding: 0 10px;\\n  height: 100%;\\n  top: 0;\\n  left: 100%;\\n}\\n.bk-root .noUi-value-vertical {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  padding-left: 25px;\\n}\\n.bk-root .noUi-rtl .noUi-value-vertical {\\n  -webkit-transform: translate(0, 50%);\\n  transform: translate(0, 50%);\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker {\\n  width: 5px;\\n  height: 2px;\\n  margin-top: -1px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-sub {\\n  width: 10px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-large {\\n  width: 15px;\\n}\\n.bk-root .noUi-tooltip {\\n  display: block;\\n  position: absolute;\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #fff;\\n  color: #000;\\n  padding: 5px;\\n  text-align: center;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-horizontal .noUi-tooltip {\\n  -webkit-transform: translate(-50%, 0);\\n  transform: translate(-50%, 0);\\n  left: 50%;\\n  bottom: 120%;\\n}\\n.bk-root .noUi-vertical .noUi-tooltip {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  top: 50%;\\n  right: 120%;\\n}\\n.bk-root .noUi-horizontal .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 18px;\\n  height: 14px;\\n  right: 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       "      427: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n  white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n  font-weight: 600;\\n}\\n\"},\n",
       "      428: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(186)),a=e(423);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n",
       "      429: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(430),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n",
       "      430: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(217),n=e(72),l=i.__importStar(e(18)),r=e(472),_=e(431),c=i.__importDefault(e(432));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n",
       "      431: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n",
       "      432: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n  content: \"\";\\n  display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n  clear: both;\\n}\\n'},\n",
       "      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(404),o=e(313),_=e(72),d=n.__importStar(e(18)),l=e(8),r=e(173),u=e(281),c=e(282),h=n.__importDefault(e(284));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n",
       "      434: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(472);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s<e.length;s++){i.push(e[s].name);const n=await this.readfile(e[s]),[,o,,a]=n.split(/[:;,]/,4);t.push(a),l.push(o)}this.model.multiple?(this.model.filename=i,this.model.mime_type=l,this.model.value=t):(this.model.filename=i[0],this.model.mime_type=l[0],this.model.value=t[0])}readfile(e){return new Promise((t,i)=>{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n",
       "      435: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(72),l=e(8),o=i.__importStar(e(18)),c=e(410),r=e(412);class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=h,h.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=h,this.define({value:[o.Array,[]],options:[o.Array,[]],size:[o.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n",
       "      436: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(430),p=a(72);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n",
       "      437: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(409);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n",
       "      438: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),s=l.__importDefault(e(439)),o=e(72),n=e(8),h=e(217),a=l.__importStar(e(18)),c=e(412),u=l.__importDefault(e(440)),d=e(410);class _ extends d.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,()=>this.set_disabled());const{value:e,max_items:t,option_limit:i,delete_button:l,placeholder:s,options:o,name:n,title:h}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h],()=>this.render())}styles(){return[...super.styles(),u.default]}_update_layout(){this.layout=new h.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.select_el=o.select({multiple:!0,class:c.bk_input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.select_el);const e=new Set(this.model.value),t=this.model.options.map(t=>{let i,l;return n.isString(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}}),i=this.model.solid?\"solid\":\"light\",l=\"choices__item \"+i,h=\"choices__button \"+i,a={choices:t,duplicateItemsAllowed:!1,removeItemButton:this.model.delete_button,classNames:{item:l,button:h}};null!=this.model.placeholder&&(a.placeholderValue=this.model.placeholder),null!=this.model.max_items&&(a.maxItemCount=this.model.max_items),null!=this.model.option_limit&&(a.renderChoiceLimit=this.model.option_limit),this.choice_el=new s.default(this.select_el,a);const u=()=>this.choice_el.containerOuter.element.getBoundingClientRect().height;null!=this._last_height&&this._last_height!=u()&&this.root.invalidate_layout(),this._last_height=u(),this.select_el.addEventListener(\"change\",()=>this.change_input())}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}i.MultiChoiceView=_,_.__name__=\"MultiChoiceView\";class r extends d.InputWidget{constructor(e){super(e)}static init_MultiChoice(){this.prototype.default_view=_,this.define({value:[a.Array,[]],options:[a.Array,[]],max_items:[a.Number,null],delete_button:[a.Boolean,!0],placeholder:[a.String,null],option_limit:[a.Number,null],solid:[a.Boolean,!0]})}}i.MultiChoice=r,r.__name__=\"MultiChoice\",r.init_MultiChoice()},\n",
       "      439: function _(e,t,i){\n",
       "      /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n",
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       "      /*!\n",
       "                       * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n",
       "                       *\n",
       "                       * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n",
       "                       * All Rights Reserved. Apache Software License 2.0\n",
       "                       *\n",
       "                       * http://www.apache.org/licenses/LICENSE-2.0\n",
       "                       */\n",
       "      e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"\",i(i.s=1)}([function(e,t){e.exports=function(e){return Array.isArray?Array.isArray(e):\"[object Array]\"===Object.prototype.toString.call(e)}},function(e,t,i){function n(e){return(n=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e})(e)}function s(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var r=i(2),o=i(8),a=i(0),c=function(){function e(t,i){var n=i.location,s=void 0===n?0:n,r=i.distance,a=void 0===r?100:r,c=i.threshold,l=void 0===c?.6:c,h=i.maxPatternLength,u=void 0===h?32:h,d=i.caseSensitive,p=void 0!==d&&d,m=i.tokenSeparator,f=void 0===m?/ +/g:m,v=i.findAllMatches,g=void 0!==v&&v,_=i.minMatchCharLength,b=void 0===_?1:_,y=i.id,E=void 0===y?null:y,I=i.keys,S=void 0===I?[]:I,w=i.shouldSort,O=void 0===w||w,C=i.getFn,A=void 0===C?o:C,L=i.sortFn,T=void 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this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;n<s;n+=1)t.push(new r(i[n],this.options));return{tokenSearchers:t,fullSearcher:new r(e,this.options)}}},{key:\"_search\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r<o;r+=1)this._analyze({key:\"\",value:i[r],record:r,index:r},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t});return{weights:null,results:s}}for(var a={},c=0,l=i.length;c<l;c+=1)for(var h=i[c],u=0,d=this.options.keys.length;u<d;u+=1){var p=this.options.keys[u];if(\"string\"!=typeof 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A=E[C],L=w.search(A),T={};L.isMatch?(T[A]=L.score,g=!0,O=!0,I.push(L.score)):(T[A]=1,this.options.matchAllTokens||I.push(1)),this._log('Token: \"'.concat(A,'\", score: ').concat(T[A]))}O&&(b+=1)}_=I[0];for(var x=I.length,k=1;k<x;k+=1)_+=I[k];_/=x,this._log(\"Token score average:\",_)}var P=y.score;_>-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N<F;N+=1)this._analyze({key:i,arrayIndex:N,value:r[N],record:o,index:c},{resultMap:m,results:v,tokenSearchers:h,fullSearcher:d})}}},{key:\"_computeScore\",value:function(e,t){this._log(\"\\n\\nComputing score:\\n\");for(var i=0,n=t.length;i<n;i+=1){for(var 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e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: 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0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function oe(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var ae=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.preventPaste;this.element=t,this.type=i,this.classNames=n,this.preventPaste=s,this.isFocussed=this.element===document.activeElement,this.isDisabled=t.disabled,this._onPaste=this._onPaste.bind(this),this._onInput=this._onInput.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t,i,n,s=e.prototype;return s.addEventListeners=function(){this.element.addEventListener(\"paste\",this._onPaste),this.element.addEventListener(\"input\",this._onInput,{passive:!0}),this.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.element.addEventListener(\"blur\",this._onBlur,{passive:!0})},s.removeEventListeners=function(){this.element.removeEventListener(\"input\",this._onInput,{passive:!0}),this.element.removeEventListener(\"paste\",this._onPaste),this.element.removeEventListener(\"focus\",this._onFocus,{passive:!0}),this.element.removeEventListener(\"blur\",this._onBlur,{passive:!0})},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.isDisabled=!0},s.focus=function(){this.isFocussed||this.element.focus()},s.blur=function(){this.isFocussed&&this.element.blur()},s.clear=function(e){return void 0===e&&(e=!0),this.element.value&&(this.element.value=\"\"),e&&this.setWidth(),this},s.setWidth=function(){var e=this.element,t=e.style,i=e.value,n=e.placeholder;t.minWidth=n.length+1+\"ch\",t.width=i.length+1+\"ch\"},s.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},s.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},s._onInput=function(){\"select-one\"!==this.type&&this.setWidth()},s._onPaste=function(e){this.preventPaste&&e.preventDefault()},s._onFocus=function(){this.isFocussed=!0},s._onBlur=function(){this.isFocussed=!1},t=e,(i=[{key:\"placeholder\",set:function(e){this.element.placeholder=e}},{key:\"value\",get:function(){return I(this.element.value)},set:function(e){this.element.value=e}}])&&oe(t.prototype,i),n&&oe(t,n),e}(),ce=function(){function e(e){var t=e.element;this.element=t,this.scrollPos=this.element.scrollTop,this.height=this.element.offsetHeight}var t=e.prototype;return t.clear=function(){this.element.innerHTML=\"\"},t.append=function(e){this.element.appendChild(e)},t.getChild=function(e){return this.element.querySelector(e)},t.hasChildren=function(){return this.element.hasChildNodes()},t.scrollToTop=function(){this.element.scrollTop=0},t.scrollToChildElement=function(e,t){var i=this;if(e){var n=this.element.offsetHeight,s=this.element.scrollTop+n,r=e.offsetHeight,o=e.offsetTop+r,a=t>0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),n<e&&(s=!0)):(this._scrollUp(n,4,e),n>e&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var he=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&le(t.prototype,i),n&&le(t,n),e}();function ue(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var de=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.delimiter;return(i=e.call(this,{element:n,classNames:s})||this).delimiter=r,i}return i=e,(t=o).prototype=Object.create(i.prototype),t.prototype.constructor=t,t.__proto__=i,n=o,(s=[{key:\"value\",get:function(){return this.element.value},set:function(e){var t=e.map((function(e){return e.value})).join(this.delimiter);this.element.setAttribute(\"value\",t),this.element.value=t}}])&&ue(n.prototype,s),r&&ue(n,r),o}(he);function pe(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var me=function(e){var t,i,n,s,r;function o(t){var i,n=t.element,s=t.classNames,r=t.template;return(i=e.call(this,{element:n,classNames:s})||this).template=r,i}return 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n=e.item,s=e.button,r=e.highlightedState,o=e.itemSelectable,a=e.placeholder,c=t.id,l=t.value,h=t.label,u=t.customProperties,d=t.active,p=t.disabled,m=t.highlighted,f=t.placeholder,v=Object.assign(document.createElement(\"div\"),{className:n,innerHTML:h});if(Object.assign(v.dataset,{item:\"\",id:c,value:l,customProperties:u}),d&&v.setAttribute(\"aria-selected\",\"true\"),p&&v.setAttribute(\"aria-disabled\",\"true\"),f&&v.classList.add(a),v.classList.add(m?r:o),i){p&&v.classList.remove(o),v.dataset.deletable=\"\";var g=Object.assign(document.createElement(\"button\"),{type:\"button\",className:s,innerHTML:\"Remove item\"});g.setAttribute(\"aria-label\",\"Remove item: '\"+l+\"'\"),g.dataset.button=\"\",v.appendChild(g)}return v},choiceList:function(e,t){var i=e.list,n=Object.assign(document.createElement(\"div\"),{className:i});return t||n.setAttribute(\"aria-multiselectable\",\"true\"),n.setAttribute(\"role\",\"listbox\"),n},choiceGroup:function(e,t){var i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 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t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n",
       "      440: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices {\\n  box-sizing: border-box;\\n}\\n.bk-root .choices *,\\n.bk-root .choices *:before,\\n.bk-root .choices *:after {\\n  box-sizing: inherit;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n",
       "      441: function _(e,t,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=e(1),n=i.__importStar(e(188)),s=e(410),u=e(72),h=e(11),o=i.__importStar(e(18)),a=e(442),r=e(412),d=/^[-+]?\\d*$/,p=/^[-+]?\\d*\\.?\\d*(?:(?:\\d|\\d.)[eE][-+]?)*\\d*$/;class _ extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value}),this.connect(this.model.properties.low.change,()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&h.assert(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&(this.model.value=Math.max(e,t))}),this.connect(this.model.properties.high.change,()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&h.assert(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&(this.model.value=Math.min(e,l))}),this.connect(this.model.properties.high.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}})}render(){super.render(),this.input_el=u.input({type:\"text\",class:r.bk_input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"focusout\",()=>this.input_el.value=this.format_value),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter(e=>d.test(e)):\"float\"==this.model.mode&&this._set_input_filter(e=>p.test(e))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!==this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=_,_.__name__=\"NumericInputView\";class m extends s.InputWidget{constructor(e){super(e)}static init_NumericInput(){this.prototype.default_view=_,this.define({value:[o.Number,null],placeholder:[o.String,\"\"],mode:[o.Any,\"int\"],format:[o.Any],low:[o.Number,null],high:[o.Number,null]})}_formatter(e,t){return a.isString(t)?n.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):\"\"+e}}l.NumericInput=m,m.__name__=\"NumericInput\",m.init_NumericInput()},\n",
       "      442: function _(t,_,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=t(1);e.__exportStar(t(13),r),e.__exportStar(t(9),r),e.__exportStar(t(29),r),e.__exportStar(t(443),r),e.__exportStar(t(8),r),e.__exportStar(t(25),r)},\n",
       "      443: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});class n{constructor(e){this.seed=e%2147483647,this.seed<=0&&(this.seed+=2147483646)}integer(){return this.seed=48271*this.seed%2147483647,this.seed}float(){return(this.integer()-1)/2147483646}floats(e){const t=new Array(e);for(let s=0;s<e;s++)t[s]=this.float();return t}}s.Random=n,n.__name__=\"Random\",s.random=new n(Date.now())},\n",
       "      444: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(430),i=e(72);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n",
       "      445: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(415),n=t(72),u=i.__importStar(t(18)),s=t(173);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n",
       "      446: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(72),s=e(29),o=n.__importStar(e(18)),d=e(417),l=e(173),p=e(412);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n",
       "      447: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(188)),a=e(423),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n",
       "      448: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(72),l=e(8),o=e(13),p=n.__importStar(e(18)),u=e(410),a=e(412);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n",
       "      449: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(188)),o=e(423),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n",
       "      450: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(441),l=n.__importStar(e(18)),r=e(72),{min:o,max:_,floor:a,abs:h}=Math;function u(e){return a(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends s.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.buttons())r.toggle_attribute(e,\"disabled\",this.model.disabled)})}render(){super.render(),this.wrapper_el=r.div({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=r.button({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=r.button({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())r.toggle_attribute(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",e=>this._btn_mouse_down(e)),e.addEventListener(\"mouseup\",()=>this._btn_mouse_up()),e.addEventListener(\"mouseleave\",()=>this._btn_mouse_leave());this.input_el.addEventListener(\"keydown\",e=>this._input_key_down(e)),this.input_el.addEventListener(\"keyup\",()=>this.model.value_throttled=this.model.value),this.input_el.addEventListener(\"wheel\",e=>this._input_mouse_wheel(e)),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,r=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),r&&e.apply(l,s)}}(()=>{this.model.value_throttled=this.model.value},this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model;return _(...[e,t,i].map(h).reduce((e,t)=>(null!=t&&e.push(t),e),[]).map(u))}_start_incrementation(e){clearInterval(this._interval_handle),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._interval_handle),this._interval_handle=setInterval(()=>i(e),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._interval_handle),this._interval_handle=setInterval(()=>i(2*e),this._interval/10))}this.increment(e)};this._interval_handle=setInterval(()=>i(e*t),this._interval)}_stop_incrementation(){clearInterval(this._interval_handle),this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._start_incrementation(t)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?o(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?_(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class d extends s.NumericInput{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=p,this.define({value_throttled:[l.Number,null],step:[l.Number,1],page_step_multiplier:[l.Number,10],wheel_wait:[l.Number,100]}),this.override({mode:\"float\"})}}i.Spinner=d,d.__name__=\"Spinner\",d.init_Spinner()},\n",
       "      451: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(410),l=e(72),h=s.__importStar(e(18)),o=e(412);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n",
       "      452: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(404),o=e(72),a=s.__importStar(e(18)),n=e(173);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n",
       "      }, 402, {\"models/widgets/main\":402,\"models/widgets/index\":403,\"models/widgets/abstract_button\":404,\"models/widgets/control\":405,\"models/widgets/widget\":472,\"models/widgets/abstract_icon\":407,\"models/widgets/autocomplete_input\":408,\"models/widgets/text_input\":409,\"models/widgets/input_widget\":410,\"styles/widgets/inputs.css\":411,\"styles/widgets/inputs\":412,\"models/widgets/button\":413,\"models/widgets/checkbox_button_group\":414,\"models/widgets/button_group\":415,\"models/widgets/checkbox_group\":416,\"models/widgets/input_group\":417,\"models/widgets/color_picker\":418,\"models/widgets/date_picker\":419,\"styles/widgets/flatpickr.css\":421,\"models/widgets/date_range_slider\":422,\"models/widgets/abstract_slider\":423,\"styles/widgets/sliders\":425,\"styles/widgets/nouislider.css\":426,\"styles/widgets/sliders.css\":427,\"models/widgets/date_slider\":428,\"models/widgets/div\":429,\"models/widgets/markup\":430,\"styles/clearfix\":431,\"styles/clearfix.css\":432,\"models/widgets/dropdown\":433,\"models/widgets/file_input\":434,\"models/widgets/multiselect\":435,\"models/widgets/paragraph\":436,\"models/widgets/password_input\":437,\"models/widgets/multichoice\":438,\"styles/widgets/choices.css\":440,\"models/widgets/numeric_input\":441,\"api/linalg\":442,\"core/util/random\":443,\"models/widgets/pretext\":444,\"models/widgets/radio_button_group\":445,\"models/widgets/radio_group\":446,\"models/widgets/range_slider\":447,\"models/widgets/selectbox\":448,\"models/widgets/slider\":449,\"models/widgets/spinner\":450,\"models/widgets/textarea_input\":451,\"models/widgets/toggle\":452}, {});\n",
       "      })\n",
       "\n",
       "\n",
       "      /* END bokeh-widgets.min.js */\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      /* BEGIN bokeh-tables.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
       "      */\n",
       "      (function(root, factory) {\n",
       "        factory(root[\"Bokeh\"], \"2.2.3\");\n",
       "      })(this, function(Bokeh, version) {\n",
       "        var define;\n",
       "        return (function(modules, entry, aliases, externals) {\n",
       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
       "          if (bokeh != null) {\n",
       "            return bokeh.register_plugin(modules, entry, aliases);\n",
       "          } else {\n",
       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
       "          }\n",
       "        })\n",
       "      ({\n",
       "      453: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(454));o.Tables=r;e(7).register_models(r)},\n",
       "      454: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(455),r),e.__exportStar(a(475),r);var t=a(456);r.DataTable=t.DataTable;var o=a(474);r.TableColumn=o.TableColumn;var n=a(473);r.TableWidget=n.TableWidget;var u=a(481);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(482);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n",
       "      455: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(72),a=e(78),n=e(81),l=e(456),u=e(478);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class y extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=y,y.__name__=\"IntEditor\",y.init_IntEditor();class v extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=v,v.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=v,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n",
       "      456: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(457),n=e(461),l=e(462),r=e(463),d=e(29),a=e(8),h=e(9),u=e(13),c=e(19),_=e(472),m=e(473),g=e(474),p=e(478),f=s.__importDefault(e(479)),b=s.__importDefault(e(480));i.DTINDEX_NAME=\"__bkdt_internal_index__\",i.AutosizeModes={fit_columns:\"FCV\",fit_viewport:\"FVC\",force_fit:\"LFF\",none:\"NOA\"};class w{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=[...this.view.indices]}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getRecords(){return h.range(0,this.getLength()).map(e=>this.getItem(e))}getItems(){return this.getRecords()}slice(e,t,i){return e=null!=e?e:0,t=null!=t?t:this.getLength(),i=null!=i?i:1,h.range(e,t,i).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((e,i)=>{for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n];if(t!==r)return a.isNumber(t)&&a.isNumber(r)?l*(t-r||+isNaN(t)-+isNaN(r)):\"\"+t>\"\"+r?l:-l}return 0})}}i.TableDataProvider=w,w.__name__=\"TableDataProvider\";class x extends _.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1,this._width=null}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,b.default]}update_position(){super.update_position(),this.grid.resizeCanvas()}after_layout(){super.after_layout(),this.updateLayout(!0,!1)}box_sizing(){const e=super.box_sizing();return\"fit_viewport\"===this.model.autosize_mode&&null!=this._width&&(e.width=this._width),e}updateLayout(e,t){const s=this.autosize;s===i.AutosizeModes.fit_columns||s===i.AutosizeModes.force_fit?(e||this.grid.resizeCanvas(),this.grid.autosizeColumns()):e&&t&&s===i.AutosizeModes.fit_viewport&&this.invalidate_layout()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.updateLayout(!0,!0)}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:d.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:p.bk_cell_index,headerCssClass:p.bk_header_index}}css_classes(){return super.css_classes().concat(p.bk_data_table)}get autosize(){let e;return e=!0===this.model.fit_columns?i.AutosizeModes.force_fit:!1===this.model.fit_columns?i.AutosizeModes.none:i.AutosizeModes[this.model.autosize_mode],e}render(){var e;const t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));let s=null;if(\"checkbox\"==this.model.selectable&&(s=new n.CheckboxSelectColumn({cssClass:p.bk_cell_select}),t.unshift(s.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:d}=this.model;!d||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(c.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),d=!1);let h=-1,u=!1;const{frozen_rows:_,frozen_columns:m}=this.model,g=null==m?-1:m-1;null!=_&&(u=_<0,h=Math.abs(_));const f={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:d,autosizeColsMode:this.autosize,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:this.model.auto_edit,autoHeight:!1,rowHeight:this.model.row_height,frozenColumn:g,frozenRow:h,frozenBottom:u},b=null!=this.grid;if(this.data=new w(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,f),this.autosize==i.AutosizeModes.fit_viewport){this.grid.autosizeColumns();let i=0;for(const s of t)i+=null!==(e=s.width)&&void 0!==e?e:0;this._width=Math.ceil(i)}if(this.grid.onSort.subscribe((e,t)=>{if(!this.model.sortable)return;const i=t.sortCols;null!=i&&(this.data.sort(i),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(i))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==s})),null!=s&&this.grid.registerPlugin(s);const e={dataItemColumnValueExtractor(e,t){let i=e[t.field];return a.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(e)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}b&&this.updateLayout(b,!1)}_hide_header(){for(const e of this.el.querySelectorAll(\".slick-header-columns\"))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=x,x.__name__=\"DataTableView\";class C extends m.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=x,this.define(({Array:e,Boolean:t,Int:i,Ref:s,String:o,Enum:n,Or:l,Null:r})=>({autosize_mode:[n(\"fit_columns\",\"fit_viewport\",\"none\",\"force_fit\"),\"force_fit\"],auto_edit:[t,!1],columns:[e(s(g.TableColumn)),[]],fit_columns:[l(t,r),null],frozen_columns:[l(i,r),null],frozen_rows:[l(i,r),null],sortable:[t,!0],reorderable:[t,!0],editable:[t,!1],selectable:[l(t,n(\"checkbox\")),!0],index_position:[l(i,r),0],index_header:[o,\"#\"],index_width:[i,40],scroll_to_selection:[t,!0],header_row:[t,!0],row_height:[i,25]})),this.override({width:600,height:400})}update_sort_columns(e){this._sort_columns=e.map(({sortCol:e,sortAsc:t})=>({field:e.field,sortAsc:t}))}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?h.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=C,C.__name__=\"DataTable\",C.init_DataTable()},\n",
       "      457: function _(e,t,n){var o=e(458),r=e(460);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n<e.length;n++)for(var o=e[n].fromRow;o<=e[n].toRow;o++)t.push(o);return t}function h(e){for(var n=[],o=t.getColumns().length-1,l=0;l<e.length;l++)n.push(new r.Range(e[l],0,e[l],o));return n}function w(){return f(i)}function g(e){(i&&0!==i.length||e&&0!==e.length)&&(i=e,c.onSelectedRangesChanged.notify(i))}function v(e,n){l.selectActiveRow&&null!=n.row&&g([new r.Range(n.row,0,n.row,t.getColumns().length-1)])}function p(e){var n=t.getActiveCell();if(t.getOptions().multiSelect&&n&&e.shiftKey&&!e.ctrlKey&&!e.altKey&&!e.metaKey&&(e.which==r.keyCode.UP||e.which==r.keyCode.DOWN)){var o=w();o.sort((function(e,t){return e-t})),o.length||(o=[n.row]);var l,i=o[0],c=o[o.length-1];if((l=e.which==r.keyCode.DOWN?n.row<c||i==c?++c:++i:n.row<c?--c:--i)>=0&&l<t.getDataLength())t.scrollRowIntoView(l),g(h(function(e,t){var n,o=[];for(n=e;n<=t;n++)o.push(n);for(n=t;n<e;n++)o.push(n);return o}(i,c)));e.preventDefault(),e.stopPropagation()}}function y(e){var n=t.getCellFromEvent(e);if(!n||!t.canCellBeActive(n.row,n.cell))return!1;if(!t.getOptions().multiSelect||!e.ctrlKey&&!e.shiftKey&&!e.metaKey)return!1;var r=f(i),l=o.inArray(n.row,r);if(-1===l&&(e.ctrlKey||e.metaKey))r.push(n.row),t.setActiveCell(n.row,n.cell);else if(-1!==l&&(e.ctrlKey||e.metaKey))r=o.grep(r,(function(e,t){return e!==n.row})),t.setActiveCell(n.row,n.cell);else if(r.length&&e.shiftKey){var c=r.pop(),u=Math.min(n.row,c),s=Math.max(n.row,c);r=[];for(var a=u;a<=s;a++)a!==c&&r.push(a);r.push(c),t.setActiveCell(n.row,n.cell)}return g(h(r)),e.stopImmediatePropagation(),!0}o.extend(this,{getSelectedRows:w,setSelectedRows:function(e){g(h(e))},getSelectedRanges:function(){return i},setSelectedRanges:g,init:function(n){l=o.extend(!0,{},s,e),t=n,u.subscribe(t.onActiveCellChanged,a(v)),u.subscribe(t.onKeyDown,a(p)),u.subscribe(t.onClick,a(y))},destroy:function(){u.unsubscribeAll()},pluginName:\"RowSelectionModel\",onSelectedRangesChanged:new r.Event})}}},\n",
       "      458: function _(e,n,f){n.exports=\"undefined\"!=typeof $?$:e(459)},\n",
       "      459: function _(e,t,n){\n",
       "      /*!\n",
       "           * jQuery JavaScript Library v3.5.1\n",
       "           * https://jquery.com/\n",
       "           *\n",
       "           * Includes Sizzle.js\n",
       "           * https://sizzlejs.com/\n",
       "           *\n",
       "           * Copyright JS Foundation and other contributors\n",
       "           * Released under the MIT license\n",
       "           * https://jquery.org/license\n",
       "           *\n",
       "           * Date: 2020-05-04T22:49Z\n",
       "           */\n",
       "      !function(e,n){\"use strict\";\"object\"==typeof t&&\"object\"==typeof t.exports?t.exports=e.document?n(e,!0):function(e){if(!e.document)throw new Error(\"jQuery requires a window with a document\");return n(e)}:n(e)}(\"undefined\"!=typeof window?window:this,(function(e,t){\"use strict\";var n=[],r=Object.getPrototypeOf,i=n.slice,o=n.flat?function(e){return n.flat.call(e)}:function(e){return n.concat.apply([],e)},a=n.push,s=n.indexOf,u={},l=u.toString,c=u.hasOwnProperty,f=c.toString,p=f.call(Object),d={},h=function(e){return\"function\"==typeof e&&\"number\"!=typeof e.nodeType},g=function(e){return null!=e&&e===e.window},v=e.document,y={type:!0,src:!0,nonce:!0,noModule:!0};function m(e,t,n){var r,i,o=(n=n||v).createElement(\"script\");if(o.text=e,t)for(r in y)(i=t[r]||t.getAttribute&&t.getAttribute(r))&&o.setAttribute(r,i);n.head.appendChild(o).parentNode.removeChild(o)}function x(e){return null==e?e+\"\":\"object\"==typeof e||\"function\"==typeof e?u[l.call(e)]||\"object\":typeof e}var b=function(e,t){return new b.fn.init(e,t)};function w(e){var t=!!e&&\"length\"in e&&e.length,n=x(e);return!h(e)&&!g(e)&&(\"array\"===n||0===t||\"number\"==typeof t&&t>0&&t-1 in e)}b.fn=b.prototype={jquery:\"3.5.1\",constructor:b,length:0,toArray:function(){return i.call(this)},get:function(e){return null==e?i.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=b.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return b.each(this,e)},map:function(e){return this.pushStack(b.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(i.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(b.grep(this,(function(e,t){return(t+1)%2})))},odd:function(){return this.pushStack(b.grep(this,(function(e,t){return t%2})))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n<t?[this[n]]:[])},end:function(){return this.prevObject||this.constructor()},push:a,sort:n.sort,splice:n.splice},b.extend=b.fn.extend=function(){var e,t,n,r,i,o,a=arguments[0]||{},s=1,u=arguments.length,l=!1;for(\"boolean\"==typeof a&&(l=a,a=arguments[s]||{},s++),\"object\"==typeof a||h(a)||(a={}),s===u&&(a=this,s--);s<u;s++)if(null!=(e=arguments[s]))for(t in e)r=e[t],\"__proto__\"!==t&&a!==r&&(l&&r&&(b.isPlainObject(r)||(i=Array.isArray(r)))?(n=a[t],o=i&&!Array.isArray(n)?[]:i||b.isPlainObject(n)?n:{},i=!1,a[t]=b.extend(l,o,r)):void 0!==r&&(a[t]=r));return a},b.extend({expando:\"jQuery\"+(\"3.5.1\"+Math.random()).replace(/\\D/g,\"\"),isReady:!0,error:function(e){throw new Error(e)},noop:function(){},isPlainObject:function(e){var t,n;return!(!e||\"[object Object]\"!==l.call(e))&&(!(t=r(e))||\"function\"==typeof(n=c.call(t,\"constructor\")&&t.constructor)&&f.call(n)===p)},isEmptyObject:function(e){var t;for(t in e)return!1;return!0},globalEval:function(e,t,n){m(e,{nonce:t&&t.nonce},n)},each:function(e,t){var n,r=0;if(w(e))for(n=e.length;r<n&&!1!==t.call(e[r],r,e[r]);r++);else for(r in e)if(!1===t.call(e[r],r,e[r]))break;return e},makeArray:function(e,t){var n=t||[];return null!=e&&(w(Object(e))?b.merge(n,\"string\"==typeof e?[e]:e):a.call(n,e)),n},inArray:function(e,t,n){return null==t?-1:s.call(t,e,n)},merge:function(e,t){for(var n=+t.length,r=0,i=e.length;r<n;r++)e[i++]=t[r];return e.length=i,e},grep:function(e,t,n){for(var r=[],i=0,o=e.length,a=!n;i<o;i++)!t(e[i],i)!==a&&r.push(e[i]);return r},map:function(e,t,n){var r,i,a=0,s=[];if(w(e))for(r=e.length;a<r;a++)null!=(i=t(e[a],a,n))&&s.push(i);else for(a in e)null!=(i=t(e[a],a,n))&&s.push(i);return o(s)},guid:1,support:d}),\"function\"==typeof Symbol&&(b.fn[Symbol.iterator]=n[Symbol.iterator]),b.each(\"Boolean Number String Function Array Date RegExp Object Error Symbol\".split(\" \"),(function(e,t){u[\"[object \"+t+\"]\"]=t.toLowerCase()}));var T=\n",
       "      /*!\n",
       "               * Sizzle CSS Selector Engine v2.3.5\n",
       "               * https://sizzlejs.com/\n",
       "               *\n",
       "               * Copyright JS Foundation and other contributors\n",
       "               * Released under the MIT license\n",
       "               * https://js.foundation/\n",
       "               *\n",
       "               * Date: 2020-03-14\n",
       "               */\n",
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       "      460: function _(t,n,i){var o=t(458);function e(){var t=!1,n=!1;this.stopPropagation=function(){t=!0},this.isPropagationStopped=function(){return t},this.stopImmediatePropagation=function(){n=!0},this.isImmediatePropagationStopped=function(){return n}}function r(){this.__nonDataRow=!0}function u(){this.__group=!0,this.level=0,this.count=0,this.value=null,this.title=null,this.collapsed=!1,this.selectChecked=!1,this.totals=null,this.rows=[],this.groups=null,this.groupingKey=null}function s(){this.__groupTotals=!0,this.group=null,this.initialized=!1}function l(){var t=null;this.isActive=function(n){return n?t===n:null!==t},this.activate=function(n){if(n!==t){if(null!==t)throw new Error(\"SlickGrid.EditorLock.activate: an editController is still active, can't activate another editController\");if(!n.commitCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .commitCurrentEdit()\");if(!n.cancelCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .cancelCurrentEdit()\");t=n}},this.deactivate=function(n){if(t!==n)throw new Error(\"SlickGrid.EditorLock.deactivate: specified editController is not the currently active one\");t=null},this.commitCurrentEdit=function(){return!t||t.commitCurrentEdit()},this.cancelCurrentEdit=function(){return!t||t.cancelCurrentEdit()}}u.prototype=new r,u.prototype.equals=function(t){return this.value===t.value&&this.count===t.count&&this.collapsed===t.collapsed&&this.title===t.title},s.prototype=new r,n.exports={Event:function(){var t=[];this.subscribe=function(n){t.push(n)},this.unsubscribe=function(n){for(var i=t.length-1;i>=0;i--)t[i]===n&&t.splice(i,1)},this.notify=function(n,i,o){var r;i=i||new e,o=o||this;for(var u=0;u<t.length&&!i.isPropagationStopped()&&!i.isImmediatePropagationStopped();u++)r=t[u].call(o,i,n);return r}},EventData:e,EventHandler:function(){var t=[];this.subscribe=function(n,i){return t.push({event:n,handler:i}),n.subscribe(i),this},this.unsubscribe=function(n,i){for(var o=t.length;o--;)if(t[o].event===n&&t[o].handler===i)return t.splice(o,1),void n.unsubscribe(i);return this},this.unsubscribeAll=function(){for(var n=t.length;n--;)t[n].event.unsubscribe(t[n].handler);return t=[],this}},Range:function(t,n,i,o){void 0===i&&void 0===o&&(i=t,o=n),this.fromRow=Math.min(t,i),this.fromCell=Math.min(n,o),this.toRow=Math.max(t,i),this.toCell=Math.max(n,o),this.isSingleRow=function(){return this.fromRow==this.toRow},this.isSingleCell=function(){return this.fromRow==this.toRow&&this.fromCell==this.toCell},this.contains=function(t,n){return t>=this.fromRow&&t<=this.toRow&&n>=this.fromCell&&n<=this.toCell},this.toString=function(){return this.isSingleCell()?\"(\"+this.fromRow+\":\"+this.fromCell+\")\":\"(\"+this.fromRow+\":\"+this.fromCell+\" - \"+this.toRow+\":\"+this.toCell+\")\"}},NonDataRow:r,Group:u,GroupTotals:s,EditorLock:l,GlobalEditorLock:new l,TreeColumns:function(t){var n={};function i(t,n){return t.filter((function(t){var o=n.call(t);return o&&t.columns&&(t.columns=i(t.columns,n)),o&&(!t.columns||t.columns.length)}))}function e(t){return void 0===t?-1:t}function r(t){var n=[];if(t.hasOwnProperty(\"length\"))for(var i=0;i<t.length;i++)n=n.concat(r(t[i]));else{if(!t.hasOwnProperty(\"columns\"))return t;n=n.concat(r(t.columns))}return n}function u(){return o.extend(!0,[],t)}!function t(i){i.forEach((function(i){n[i.id]=i,i.columns&&t(i.columns)}))}(t),this.hasDepth=function(){for(var n in t)if(t[n].hasOwnProperty(\"columns\"))return!0;return!1},this.getTreeColumns=function(){return t},this.extractColumns=function(){return this.hasDepth()?r(t):t},this.getDepth=function(){return function t(n){if(!n.length)return n.columns?1+t(n.columns):1;for(var i in n)return t(n[i])}(t)},this.getColumnsInDepth=function(n){return function t(n,i,o){var e=[];if(i==(o=o||0))return n.length&&n.forEach((function(t){t.columns&&(t.extractColumns=function(){return r(t)})})),n;for(var u in n)n[u].columns&&(e=e.concat(t(n[u].columns,i,o+1)));return e}(t,n)},this.getColumnsInGroup=function(t){return r(t)},this.visibleColumns=function(){return i(u(),(function(){return this.visible}))},this.filter=function(t){return i(u(),t)},this.reOrder=function(n){return function t(n,i){n.sort((function(t,n){return e(i.getColumnIndex(t.id))-e(i.getColumnIndex(n.id))})).forEach((function(n){n.columns&&t(n.columns,i)}))}(t,n)},this.getById=function(t){return n[t]},this.getInIds=function(t){return t.map((function(t){return n[t]}))}},keyCode:{SPACE:8,BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,A:65,C:67,V:86},preClickClassName:\"slick-edit-preclick\",GridAutosizeColsMode:{None:\"NOA\",LegacyOff:\"LOF\",LegacyForceFit:\"LFF\",IgnoreViewport:\"IGV\",FitColsToViewport:\"FCV\",FitViewportToCols:\"FVC\"},ColAutosizeMode:{Locked:\"LCK\",Guide:\"GUI\",Content:\"CON\",ContentIntelligent:\"CTI\"},RowSelectionMode:{FirstRow:\"FS1\",FirstNRows:\"FSN\",AllRows:\"ALL\",LastRow:\"LS1\"},ValueFilterMode:{None:\"NONE\",DeDuplicate:\"DEDP\",GetGreatestAndSub:\"GR8T\",GetLongestTextAndSub:\"LNSB\",GetLongestText:\"LNSC\"},WidthEvalMode:{CanvasTextSize:\"CANV\",HTML:\"HTML\"}}},\n",
       "      461: function _(e,t,o){var l=e(458),n=e(460);t.exports={CheckboxSelectColumn:function(e){var t,o=null,i=k(),c=new n.EventHandler,r={},d=!1,a=l.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function s(){t.updateColumnHeader(a.columnId,\"\",\"\")}function u(){l(\"#filter-checkbox-selectall-container\").hide()}function h(e,n){var c,s,u,h=t.getSelectedRows(),f={},p=0;if(\"function\"==typeof o)for(u=0;u<t.getDataLength();u++){C(s,t.getDataItem(u),t)||p++}var b=[];for(s=0;s<h.length;s++){c=h[s],C(s,t.getDataItem(c),t)?(f[c]=!0,f[c]!==r[c]&&(t.invalidateRow(c),delete r[c])):b.push(c)}for(s in r)t.invalidateRow(s);(r=f,t.render(),d=h.length&&h.length+p>=t.getDataLength(),a.hideInColumnTitleRow||a.hideSelectAllCheckbox||R(d),a.hideInFilterHeaderRow)||l(\"#header-filter-selector\"+i).prop(\"checked\",d);if(b.length>0){for(s=0;s<b.length;s++){var m=h.indexOf(b[s]);h.splice(m,1)}t.setSelectedRows(h)}}function f(e,o){32==e.which&&t.getColumns()[o.cell].id===a.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||b(o.row),e.preventDefault(),e.stopImmediatePropagation())}function p(e,o){if(t.getColumns()[o.cell].id===a.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();b(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function b(e){var o=t.getDataItem(e);C(e,o,t)&&(r[e]?t.setSelectedRows(l.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===g){g=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==a.columnId&&(g=o)}return g}()))}function m(e,o){if(o.column.id==a.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var n=[],i=0;i<t.getDataLength();i++){C(i,t.getDataItem(i),t)&&n.push(i)}t.setSelectedRows(n)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}\"function\"==typeof a.selectableOverride&&v(a.selectableOverride);var g=null;function k(){return Math.round(1e7*Math.random())}function w(e,t,o,l,n,i){var c=k()+e;return n&&C(e,n,i)?r[e]?\"<input id='selector\"+c+\"' type='checkbox' checked='checked'><label for='selector\"+c+\"'></label>\":\"<input id='selector\"+c+\"' type='checkbox'><label for='selector\"+c+\"'></label>\":null}function C(e,t,l){return\"function\"!=typeof o||o(e,t,l)}function R(e){e?t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+i+\"' type='checkbox' checked='checked'><label for='header-selector\"+i+\"'></label>\",a.toolTip):t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+i+\"' type='checkbox'><label for='header-selector\"+i+\"'></label>\",a.toolTip)}function v(e){o=e}l.extend(this,{init:function(e){t=e,c.subscribe(t.onSelectedRowsChanged,h).subscribe(t.onClick,p).subscribe(t.onKeyDown,f),a.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+i+\"' type='checkbox'><label for='header-filter-selector\"+i+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){m(e,t)})))}))}(e),a.hideInColumnTitleRow||c.subscribe(t.onHeaderClick,m)},destroy:function(){c.unsubscribeAll()},pluginName:\"CheckboxSelectColumn\",deSelectRows:function(e){var o,n=e.length,i=[];for(o=0;o<n;o++)r[e[o]]&&(i[i.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return i.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]||(n[n.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(n))},getColumnDefinition:function(){return{id:a.columnId,name:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+i+\"' type='checkbox'><label for='header-selector\"+i+\"'></label>\",toolTip:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":a.toolTip,field:\"sel\",width:a.width,resizable:!1,sortable:!1,cssClass:a.cssClass,hideSelectAllCheckbox:a.hideSelectAllCheckbox,formatter:w}},getOptions:function(){return a},selectableOverride:v,setOptions:function(e){if((a=l.extend(!0,{},a,e)).hideSelectAllCheckbox)s(),u();else if(a.hideInColumnTitleRow?s():(R(d),c.subscribe(t.onHeaderClick,m)),a.hideInFilterHeaderRow)u();else{var o=l(\"#filter-checkbox-selectall-container\");o.show(),o.find('input[type=\"checkbox\"]').prop(\"checked\",d)}}})}}},\n",
       "      462: function _(e,t,o){var l=e(458),n=e(460),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(o.denyPaste)return null;if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!==(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(0===D.length&&i.includeHeaderWhenCopying){for(var E=[],V=y.fromCell;V<y.toCell+1;V++)s[V].name.length>0&&E.push(C(s[V]));D.push(E.join(\"\\t\"))}for(V=y.fromCell;V<y.toCell+1;V++)R.push(m(x,s[V],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"===l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!==l[s]?n[a++]=l[s].split(\"\\t\"):n[a++]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var E={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(E):E.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},pluginName:\"CellExternalCopyManager\",clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n",
       "      463: function _(r,t,o){var _=r(1);_.__exportStar(r(460),t.exports),_.__exportStar(r(464),t.exports),_.__exportStar(r(467),t.exports),_.__exportStar(r(468),t.exports),_.__exportStar(r(469),t.exports),_.__exportStar(r(470),t.exports),_.__exportStar(r(471),t.exports)},\n",
       "      464: function _(require,module,exports){\n",
       "      /**\n",
       "           * @license\n",
       "           * (c) 2009-2016 Michael Leibman\n",
       "           * michael{dot}leibman{at}gmail{dot}com\n",
       "           * http://github.com/mleibman/slickgrid\n",
       "           *\n",
       "           * Distributed under MIT license.\n",
       "           * All rights reserved.\n",
       "           *\n",
       "           * SlickGrid v2.4\n",
       "           *\n",
       "           * NOTES:\n",
       "           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n",
       "           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n",
       "           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n",
       "           *     and do proper cleanup.\n",
       "           */\n",
       "      var $=require(458),Slick=require(460),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(465),$.fn.drop||require(466);var defaults={alwaysShowVerticalScroll:!1,alwaysAllowHorizontalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showColumnHeader:!0,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,frozenBottom:!1,frozenColumn:-1,frozenRow:-1,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1,doPaging:!0,autosizeColsMode:Slick.GridAutosizeColsMode.LegacyOff,autosizeColPaddingPx:4,autosizeTextAvgToMWidthRatio:.75,viewportSwitchToScrollModeWidthPercent:void 0,viewportMinWidthPx:void 0,viewportMaxWidthPx:void 0},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,maxWidth:void 0,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},columnAutosizeDefaults={ignoreHeaderText:!1,colValueArray:void 0,allowAddlPercent:void 0,formatterOverride:void 0,autosizeMode:Slick.ColAutosizeMode.ContentIntelligent,rowSelectionModeOnInit:void 0,rowSelectionMode:Slick.RowSelectionMode.FirstNRows,rowSelectionCount:100,valueFilterMode:Slick.ValueFilterMode.None,widthEvalMode:Slick.WidthEvalMode.CanvasTextSize,sizeToRemaining:void 0,widthPx:void 0,colDataTypeOf:void 0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$groupHeaders=$(),$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacerL,$headerRowSpacerR,$footerRow,$footerRowScroller,$footerRowSpacerL,$footerRowSpacerR,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$preHeaderPanelR,$preHeaderPanelScrollerR,$preHeaderPanelSpacerR,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,treeColumns,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,canvasWidthL,canvasWidthR,headersWidth,headersWidthL,headersWidthR,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,hasFrozenRows=!1,frozenRowsHeight=0,actualFrozenRow=-1,paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,topPanelH=0,headerRowH=0,footerRowH=0,tabbingDirection=1,$activeCanvasNode,$activeViewportNode,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows=0,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,$paneHeaderL,$paneHeaderR,$paneTopL,$paneTopR,$paneBottomL,$paneBottomR,$headerScrollerL,$headerScrollerR,$headerL,$headerR,$groupHeadersL,$groupHeadersR,$headerRowScrollerL,$headerRowScrollerR,$footerRowScrollerL,$footerRowScrollerR,$headerRowL,$headerRowR,$footerRowL,$footerRowR,$topPanelScrollerL,$topPanelScrollerR,$topPanelL,$topPanelR,$viewportTopL,$viewportTopR,$viewportBottomL,$viewportBottomR,$canvasTopL,$canvasTopR,$canvasBottomL,$canvasBottomR,$viewportScrollContainerX,$viewportScrollContainerY,$headerScrollContainer,$headerRowScrollContainer,$footerRowScrollContainer,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");if(cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,treeColumns=new Slick.TreeColumns(columns),columns=treeColumns.extractColumns(),updateColumnProps(),options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");if(editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),$paneHeaderL=$(\"<div class='slick-pane slick-pane-header slick-pane-left' tabIndex='0' />\").appendTo($container),$paneHeaderR=$(\"<div class='slick-pane slick-pane-header slick-pane-right' tabIndex='0' />\").appendTo($container),$paneTopL=$(\"<div class='slick-pane slick-pane-top slick-pane-left' tabIndex='0' />\").appendTo($container),$paneTopR=$(\"<div class='slick-pane slick-pane-top slick-pane-right' tabIndex='0' />\").appendTo($container),$paneBottomL=$(\"<div class='slick-pane slick-pane-bottom slick-pane-left' tabIndex='0' />\").appendTo($container),$paneBottomR=$(\"<div class='slick-pane slick-pane-bottom slick-pane-right' tabIndex='0' />\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderL),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),$preHeaderPanelScrollerR=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderR),$preHeaderPanelR=$(\"<div />\").appendTo($preHeaderPanelScrollerR),$preHeaderPanelSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScrollerR),options.showPreHeaderPanel||($preHeaderPanelScroller.hide(),$preHeaderPanelScrollerR.hide())),$headerScrollerL=$(\"<div class='slick-header ui-state-default slick-header-left' />\").appendTo($paneHeaderL),$headerScrollerR=$(\"<div class='slick-header ui-state-default slick-header-right' />\").appendTo($paneHeaderR),$headerScroller=$().add($headerScrollerL).add($headerScrollerR),treeColumns.hasDepth()){$groupHeadersL=[],$groupHeadersR=[];for(var e=0;e<treeColumns.getDepth()-1;e++)$groupHeadersL[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$groupHeadersR[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR);$groupHeaders=$().add($groupHeadersL).add($groupHeadersR)}$headerL=$(\"<div class='slick-header-columns slick-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$headerR=$(\"<div class='slick-header-columns slick-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR),$headers=$().add($headerL).add($headerR),$headerRowScrollerL=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopL),$headerRowScrollerR=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopR),$headerRowScroller=$().add($headerRowScrollerL).add($headerRowScrollerR),$headerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerL),$headerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerR),$headerRowL=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-left' />\").appendTo($headerRowScrollerL),$headerRowR=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-right' />\").appendTo($headerRowScrollerR),$headerRow=$().add($headerRowL).add($headerRowR),$topPanelScrollerL=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopL),$topPanelScrollerR=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopR),$topPanelScroller=$().add($topPanelScrollerL).add($topPanelScrollerR),$topPanelL=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerL),$topPanelR=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerR),$topPanel=$().add($topPanelL).add($topPanelR),options.showColumnHeader||$headerScroller.hide(),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),$viewportTopL=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneTopL),$viewportTopR=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneTopR),$viewportBottomL=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneBottomL),$viewportBottomR=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneBottomR),$viewport=$().add($viewportTopL).add($viewportTopR).add($viewportBottomL).add($viewportBottomR),$activeViewportNode=$viewportTopL,$canvasTopL=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportTopL),$canvasTopR=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportTopR),$canvasBottomL=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportBottomL),$canvasBottomR=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportBottomR),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$().add($canvasTopL).add($canvasTopR).add($canvasBottomL).add($canvasBottomR),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$activeCanvasNode=$canvasTopL,$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacerL.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headerRowSpacerR.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScrollerR=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopR),$footerRowScrollerL=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopL),$footerRowScroller=$().add($footerRowScrollerL).add($footerRowScrollerR),$footerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerL),$footerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerR),$footerRowL=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-left' />\").appendTo($footerRowScrollerL),$footerRowR=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-right' />\").appendTo($footerRowScrollerR),$footerRow=$().add($footerRowL).add($footerRowR),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,getViewportWidth(),getViewportHeight(),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),setFrozenOptions(),setPaneVisibility(),setScroller(),setOverflow(),updateColumnCaches(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$.fn.mousewheel&&$viewport.on(\"mousewheel\",handleMouseWheel),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&($footerRow.on(\"contextmenu\",handleFooterContextMenu).on(\"click\",handleFooterClick),$footerRowScroller.on(\"scroll\",handleFooterRowScroll)),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function hasFrozenColumns(){return options.frozenColumn>-1}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function getPluginByName(e){for(var o=plugins.length-1;o>=0;o--)if(plugins[o].pluginName===e)return plugins[o]}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(e,o){e||(e=0),o||(o=0);var t=\"number\"==typeof e?e:getColumnIndex(e);return hasFrozenRows&&o>=actualFrozenRow+(options.frozenBottom?0:1)?hasFrozenColumns()&&t>options.frozenColumn?$canvasBottomR[0]:$canvasBottomL[0]:hasFrozenColumns()&&t>options.frozenColumn?$canvasTopR[0]:$canvasTopL[0]}function getActiveCanvasNode(e){return setActiveCanvasNode(e),$activeCanvasNode[0]}function getCanvases(){return $canvas}function setActiveCanvasNode(e){e&&($activeCanvasNode=$(e.target).closest(\".grid-canvas\"))}function getViewportNode(){return $viewport[0]}function getActiveViewportNode(e){return setActiveViewPortNode(e),$activeViewportNode[0]}function setActiveViewportNode(e){e&&($activeViewportNode=$(e.target).closest(\".slick-viewport\"))}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo(\"body\"),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getHeadersWidth(){headersWidth=headersWidthL=headersWidthR=0;for(var e=!options.autoHeight,o=0,t=columns.length;o<t;o++){var n=columns[o].width;options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=n:headersWidthL+=n}return e&&(options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=scrollbarDimensions.width:headersWidthL+=scrollbarDimensions.width),hasFrozenColumns()?(headersWidthL+=1e3,headersWidthR=Math.max(headersWidthR,viewportW)+headersWidthL,headersWidthR+=scrollbarDimensions.width):(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidth=headersWidthL+headersWidthR,Math.max(headersWidth,viewportW)+1e3}function getHeadersWidthL(){return headersWidthL=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn||(headersWidthL+=e.width)})),hasFrozenColumns()?headersWidthL+=1e3:(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidthL}function getHeadersWidthR(){return headersWidthR=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn&&(headersWidthR+=e.width)})),hasFrozenColumns()&&(headersWidthR=Math.max(headersWidthR,viewportW)+getHeadersWidthL(),headersWidthR+=scrollbarDimensions.width),headersWidthR}function getCanvasWidth(){var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=columns.length;for(canvasWidthL=canvasWidthR=0;o--;)hasFrozenColumns()&&o>options.frozenColumn?canvasWidthR+=columns[o].width:canvasWidthL+=columns[o].width;var t=canvasWidthL+canvasWidthR;return options.fullWidthRows?Math.max(t,e):t}function updateCanvasWidth(e){var o,t=canvasWidth,n=canvasWidthL,l=canvasWidthR;((o=(canvasWidth=getCanvasWidth())!==t||canvasWidthL!==n||canvasWidthR!==l)||hasFrozenColumns()||hasFrozenRows)&&($canvasTopL.width(canvasWidthL),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),hasFrozenColumns()?($canvasTopR.width(canvasWidthR),$paneHeaderL.width(canvasWidthL),$paneHeaderR.css(\"left\",canvasWidthL),$paneHeaderR.css(\"width\",viewportW-canvasWidthL),$paneTopL.width(canvasWidthL),$paneTopR.css(\"left\",canvasWidthL),$paneTopR.css(\"width\",viewportW-canvasWidthL),$headerRowScrollerL.width(canvasWidthL),$headerRowScrollerR.width(viewportW-canvasWidthL),$headerRowL.width(canvasWidthL),$headerRowR.width(canvasWidthR),options.createFooterRow&&($footerRowScrollerL.width(canvasWidthL),$footerRowScrollerR.width(viewportW-canvasWidthL),$footerRowL.width(canvasWidthL),$footerRowR.width(canvasWidthR)),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$viewportTopL.width(canvasWidthL),$viewportTopR.width(viewportW-canvasWidthL),hasFrozenRows&&($paneBottomL.width(canvasWidthL),$paneBottomR.css(\"left\",canvasWidthL),$viewportBottomL.width(canvasWidthL),$viewportBottomR.width(viewportW-canvasWidthL),$canvasBottomL.width(canvasWidthL),$canvasBottomR.width(canvasWidthR))):($paneHeaderL.width(\"100%\"),$paneTopL.width(\"100%\"),$headerRowScrollerL.width(\"100%\"),$headerRowL.width(canvasWidth),options.createFooterRow&&($footerRowScrollerL.width(\"100%\"),$footerRowL.width(canvasWidth)),options.createPreHeaderPanel&&($preHeaderPanel.width(\"100%\"),$preHeaderPanel.width(canvasWidth)),$viewportTopL.width(\"100%\"),hasFrozenRows&&($viewportBottomL.width(\"100%\"),$canvasBottomL.width(canvasWidthL))),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width),$headerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$headerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),options.createFooterRow&&($footerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$footerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0))),(o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var n=2*e;if(t.css(\"height\",n),n>o||t.height()!==n)break;e=n}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=hasFrozenRows&&!options.frozenBottom?$canvasBottomL[0]:$canvasTopL[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewportTopL[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var n=getColumnIndex(e);if(null!=n){var l=columns[n],r=$headers.children().eq(n);r&&(void 0!==o&&(columns[n].name=o),void 0!==t&&(columns[n].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:l,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:l,grid:self}))}}}function getHeader(e){if(!e)return hasFrozenColumns()?$headers:$headerL;var o=getColumnIndex(e.id);return hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL,n=hasFrozenColumns()?o<=options.frozenColumn?o:o-options.frozenColumn-1:o,l=t.children().eq(n);return l&&l[0]}function getHeaderRow(){return hasFrozenColumns()?$headerRow:$headerRow[0]}function getFooterRow(){return hasFrozenColumns()?$footerRow:$footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getPreHeaderPanelRight(){return $preHeaderPanelR[0]}function getHeaderRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$headerRowL:(o=$headerRowR,t-=options.frozenColumn+1):o=$headerRowL;var n=o.children().eq(t);return n&&n[0]}function getFooterRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$footerRowL:(o=$footerRowR,t-=options.frozenColumn+1):o=$footerRowL;var n=o&&o.children().eq(t);return n&&n[0]}function createColumnFooter(){if(options.createFooterRow){$footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),$footerRowR.empty();for(var e=0;e<columns.length;e++){var o=columns[e],t=$(\"<div class='ui-state-default slick-footerrow-column l\"+e+\" r\"+e+\"'></div>\").data(\"column\",o).addClass(hasFrozenColumns()&&e<=options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e>options.frozenColumn?$footerRowR:$footerRowL);trigger(self.onFooterRowCellRendered,{node:t[0],column:o,grid:self})}}}function createColumnGroupHeaders(){var e=0,o=!1;if(treeColumns.hasDepth()){for(var t=0;t<$groupHeadersL.length;t++){$groupHeadersL[t].empty(),$groupHeadersR[t].empty();var n=treeColumns.getColumnsInDepth(t);for(var l in n){var r=n[l];e+=r.extractColumns().length,hasFrozenColumns()&&0===t&&e-1===options.frozenColumn&&(o=!0),$(\"<div class='ui-state-default slick-group-header-column' />\").html(\"<span class='slick-column-name'>\"+r.name+\"</span>\").attr(\"id\",\"\"+uid+r.id).attr(\"title\",r.toolTip||\"\").data(\"column\",r).addClass(r.headerCssClass||\"\").addClass(hasFrozenColumns()&&e-1>options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e-1>options.frozenColumn?$groupHeadersR[t]:$groupHeadersL[t])}if(hasFrozenColumns()&&0===t&&!o){$groupHeadersL[t].empty(),$groupHeadersR[t].empty(),alert(\"All columns of group should to be grouped!\");break}}applyColumnGroupHeaderWidths()}}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headerL.empty(),$headerR.empty(),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRowL.empty(),$headerRowR.empty(),options.createFooterRow&&($footerRowL.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),hasFrozenColumns()&&($footerRowR.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowR.empty()));for(var t=0;t<columns.length;t++){var n=columns[t],l=hasFrozenColumns()?t<=options.frozenColumn?$headerL:$headerR:$headerL,r=hasFrozenColumns()?t<=options.frozenColumn?$headerRowL:$headerRowR:$headerRowL,i=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+n.name+\"</span>\").width(n.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+n.id).attr(\"title\",n.toolTip||\"\").data(\"column\",n).addClass(n.headerCssClass||\"\").addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(l);if((options.enableColumnReorder||n.sortable)&&i.on(\"mouseenter\",e).on(\"mouseleave\",o),n.hasOwnProperty(\"headerCellAttrs\")&&n.headerCellAttrs instanceof Object)for(var a in n.headerCellAttrs)n.headerCellAttrs.hasOwnProperty(a)&&i.attr(a,n.headerCellAttrs[a]);if(n.sortable&&(i.addClass(\"slick-header-sortable\"),i.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&i.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:i[0],column:n,grid:self}),options.showHeaderRow){var s=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(r);trigger(self.onHeaderRowCellRendered,{node:s[0],column:n,grid:self})}if(options.createFooterRow&&options.showFooterRow){var d=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:d[0],column:n,grid:self})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var n=null,l=0;l<sortColumns.length;l++)if(sortColumns[l].columnId==t.id){(n=sortColumns[l]).sortAsc=!n.sortAsc;break}var r=!!n;options.tristateMultiColumnSort?(n||(n={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&n.sortAsc&&(sortColumns.splice(l,1),n=null),options.multiColumnSort||(sortColumns=[]),!n||r&&options.multiColumnSort||sortColumns.push(n)):e.metaKey&&options.multiColumnSort?n&&sortColumns.splice(l,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),n?0===sortColumns.length&&sortColumns.push(n):(n={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(n))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{columnId:columns[getColumnIndex(e.columnId)].id,sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,columnId:sortColumns.length>0?t.id:null,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function currentPositionInHeader(e){var o=0;return $headers.find(\".slick-header-column\").each((function(t){if(this.id==e)return o=t,!1})),o}function limitPositionInGroup(e){var o,t=0,n=0;return treeColumns.getColumnsInDepth($groupHeadersL.length-1).some((function(l){return t=n,n+=l.columns.length,l.columns.some((function(t){return t.id===e&&(o=l),o})),o})),n--,{start:t,end:n,group:o}}function remove(e,o){var t=e.lastIndexOf(o);t>-1&&(e.splice(t,1),remove(e,o))}function columnPositionValidInGroup(e){var o=currentPositionInHeader(e[0].id),t=limitPositionInGroup(e.data(\"column\").id),n=t.start<=o&&o<=t.end;return{limit:t,valid:n,message:n?\"\":'Column \"'.concat(e.text(),'\" can be reordered only within the \"',t.group.name,'\" group!')}}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\");var e,o=null;function t(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft+10}function n(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft-10}$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(o,t){t.placeholder.width(t.helper.outerWidth()-headerColumnWidthDiff),e=!hasFrozenColumns()||t.placeholder.offset().left+t.placeholder.width()>$viewportScrollContainerX.offset().left,$(t.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},sort:function(l,r){e&&l.originalEvent.pageX>$container[0].clientWidth?o||(o=setInterval(t,100)):e&&l.originalEvent.pageX<$viewportScrollContainerX.offset().left?o||(o=setInterval(n,100)):(clearInterval(o),o=null)},stop:function(e,t){var n=!1;clearInterval(o),o=null;var l=null;if(treeColumns.hasDepth()){var r=columnPositionValidInGroup(t.item);l=r.limit,(n=!r.valid)&&alert(r.message)}if(!n&&getEditorLock().commitCurrentEdit()){var i=$headerL.sortable(\"toArray\");i=i.concat($headerR.sortable(\"toArray\"));for(var a=[],s=0;s<i.length;s++)a.push(columns[getColumnIndex(i[s].replace(uid,\"\"))]);setColumns(a),trigger(self.onColumnsReordered,{impactedColumns:getImpactedColumns(l)}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function getImpactedColumns(e){var o=[];if(e)for(var t=e.start;t<=e.end;t++)o.push(columns[t]);else o=columns;return o}function setupColumnResize(){var e,o,t,n,l,r,i,a,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===a&&(a=e),s=e)})),void 0!==a&&l.each((function(d,c){d>=columns.length||d<a||options.forceFitColumns&&d>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(o,a){if(!getEditorLock().commitCurrentEdit())return!1;n=o.pageX,$(this).parent().addClass(\"slick-header-column-active\");var s=null,c=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(s=0,c=0,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(null!==c&&(t.maxWidth?c+=t.maxWidth-t.previousWidth:c=null),s+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=d;e++)(t=columns[e]).resizable&&(null!==h&&(t.maxWidth?h+=t.maxWidth-t.previousWidth:h=null),u+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));null===s&&(s=1e5),null===u&&(u=1e5),null===c&&(c=1e5),null===h&&(h=1e5),i=n+Math.min(s,h),r=n-Math.min(u,c)})).on(\"drag\",(function(l,a){columnResizeDragging=!0;var s,c,u=Math.min(i,Math.max(r,l.pageX))-n,h=0;if(u<0){for(c=u,e=d;e>=0;e--)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0))}else{for(c=u,h=0,0,e=d;e>=0;e--)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width}hasFrozenColumns()&&h!=canvasWidthL&&($headerL.width(h+1e3),$paneHeaderR.css(\"left\",h)),applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths(),trigger(self.onColumnsDrag,{triggeredByColumn:$(this).parent().attr(\"id\").replace(uid,\"\"),resizeHandle:$(this)})})).on(\"dragend\",(function(o,n){$(this).parent().removeClass(\"slick-header-column-active\");var r,i=$(this).parent().attr(\"id\").replace(uid,\"\");for(!0===trigger(self.onBeforeColumnsResize,{triggeredByColumn:i})&&(applyColumnHeaderWidths(),applyColumnGroupHeaderWidths()),e=0;e<columns.length;e++)t=columns[e],r=$(l[e]).outerWidth(),t.previousWidth!==r&&t.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{triggeredByColumn:i}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return e&&\"function\"==typeof e.css&&$.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,n){o+=parseFloat(e.css(n))||0})),o}function setFrozenOptions(){if(options.frozenColumn=options.frozenColumn>=0&&options.frozenColumn<columns.length?parseInt(options.frozenColumn):-1,options.frozenRow>-1){hasFrozenRows=!0,frozenRowsHeight=options.frozenRow*options.rowHeight;var e=getDataLength();actualFrozenRow=options.frozenBottom?e-options.frozenRow:options.frozenRow}else hasFrozenRows=!1}function setPaneVisibility(){hasFrozenColumns()?($paneHeaderR.show(),$paneTopR.show(),hasFrozenRows?($paneBottomL.show(),$paneBottomR.show()):($paneBottomR.hide(),$paneBottomL.hide())):($paneHeaderR.hide(),$paneTopR.hide(),$paneBottomR.hide(),hasFrozenRows?$paneBottomL.show():($paneBottomR.hide(),$paneBottomL.hide()))}function setOverflow(){$viewportTopL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportTopR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),hasFrozenRows?\"scroll\":\"auto\")}),$viewportBottomL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportBottomR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),\"auto\")}),options.viewportClass&&($viewportTopL.toggleClass(options.viewportClass,!0),$viewportTopR.toggleClass(options.viewportClass,!0),$viewportBottomL.toggleClass(options.viewportClass,!0),$viewportBottomR.toggleClass(options.viewportClass,!0))}function setScroller(){hasFrozenColumns()?($headerScrollContainer=$headerScrollerR,$headerRowScrollContainer=$headerRowScrollerR,$footerRowScrollContainer=$footerRowScrollerR,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomR,$viewportScrollContainerY=$viewportTopR):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomR:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopR):($headerScrollContainer=$headerScrollerL,$headerRowScrollContainer=$headerRowScrollerL,$footerRowScrollContainer=$footerRowScrollerL,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomL,$viewportScrollContainerY=$viewportTopL):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomL:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopL)}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],n=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==n[0]&&n[1]>=8||n[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var l=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(l),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),l.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-group-header-column { left: 1000px; }\",\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var n,l,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(n=/\\.l\\d+/.exec(i))?(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesL[l]=r[o]):(n=/\\.r\\d+/.exec(i))&&(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesR[l]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}var canvas=null,canvas_context=null;function autosizeColumn(e,o){var t=e;if(\"number\"==typeof e)t=columns[e];else if(\"string\"==typeof e)for(var n=0;n<columns.length;n++)columns[n].Id===e&&(t=columns[n]);getColAutosizeWidth(t,$(getCanvasNode(0,0)),o)}function autosizeColumns(e,o){if((e=e||options.autosizeColsMode)!==Slick.GridAutosizeColsMode.LegacyForceFit&&e!==Slick.GridAutosizeColsMode.LegacyOff){if(e!==Slick.GridAutosizeColsMode.None){(canvas=document.createElement(\"canvas\"))&&canvas.getContext&&(canvas_context=canvas.getContext(\"2d\"));var t,n,l,r,i=$(getCanvasNode(0,0)),a=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,s=0,d=0,c=0,u=0,h=0;for(t=0;t<columns.length;t++)getColAutosizeWidth(n=columns[t],i,o),h+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:0,u+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:n.minWidth,s+=n.autoSize.widthPx,d+=n.autoSize.sizeToRemaining?0:n.autoSize.widthPx,c+=n.autoSize.sizeToRemaining&&n.minWidth||0;var p=s-d;if(e===Slick.GridAutosizeColsMode.FitViewportToCols){var m=s+scrollbarDimensions.width;e=Slick.GridAutosizeColsMode.IgnoreViewport,options.viewportMaxWidthPx&&m>options.viewportMaxWidthPx?(m=options.viewportMaxWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport):options.viewportMinWidthPx&&m<options.viewportMinWidthPx&&(m=options.viewportMinWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport),$container.width(m)}if(e===Slick.GridAutosizeColsMode.FitColsToViewport)if(p>0&&d<a-c)for(t=0;t<columns.length;t++){var w=a-d;l=(n=columns[t]).autoSize.sizeToRemaining?w*n.autoSize.widthPx/p:n.autoSize.widthPx,n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}else if(options.viewportSwitchToScrollModeWidthPercent&&d+c>a*options.viewportSwitchToScrollModeWidthPercent/100||u>a)e=Slick.GridAutosizeColsMode.IgnoreViewport;else{var v=d-h,f=a-h-c;for(t=0;t<columns.length;t++)l=(n=columns[t]).width,n.autoSize.autosizeMode!==Slick.ColAutosizeMode.Locked&&(n.autoSize.sizeToRemaining?l=n.minWidth:((l=f/v*n.autoSize.widthPx)<n.minWidth&&(l=n.minWidth),v-=n.autoSize.widthPx,f-=l)),n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}if(e===Slick.GridAutosizeColsMode.IgnoreViewport)for(t=0;t<columns.length;t++)l=columns[t].autoSize.widthPx,columns[t].rerenderOnResize&&columns[t].width!=l&&(r=!0),columns[t].width=l;reRenderColumns(r)}}else legacyAutosizeColumns()}function LogColWidths(){for(var e=\"Col Widths:\",o=0;o<columns.length;o++)e+=\" \"+columns[o].width;console.log(e)}function getColAutosizeWidth(e,o,t){var n=e.autoSize;if(n.widthPx=e.width,n.autosizeMode!==Slick.ColAutosizeMode.Locked&&n.autosizeMode!==Slick.ColAutosizeMode.Guide){var l=getDataLength();if(n.autosizeMode===Slick.ColAutosizeMode.ContentIntelligent){var r,i=n.colDataTypeOf;if(l>0){var a=getDataItem(0);a&&\"object\"===(i=typeof(r=a[e.field]))&&(r instanceof Date&&(i=\"date\"),\"undefined\"!=typeof moment&&r instanceof moment&&(i=\"moment\"))}\"boolean\"===i&&(n.colValueArray=[!0,!1]),\"number\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetGreatestAndSub,n.rowSelectionMode=Slick.RowSelectionMode.AllRows),\"string\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetLongestText,n.rowSelectionMode=Slick.RowSelectionMode.AllRows,n.allowAddlPercent=5),\"date\"===i&&(n.colValueArray=[new Date(2009,8,30,12,20,20)]),\"moment\"===i&&\"undefined\"!=typeof moment&&(n.colValueArray=[moment([2009,8,30,12,20,20])])}var s=getColContentSize(e,o,t);s=s*(n.allowAddlPercent?1+n.allowAddlPercent/100:1)+options.autosizeColPaddingPx,e.minWidth&&s<e.minWidth&&(s=e.minWidth),e.maxWidth&&s>e.maxWidth&&(s=e.maxWidth),n.widthPx=s}}function getColContentSize(e,o,t){var n,l=e.autoSize,r=1,i=0,a=0;if(l.ignoreHeaderText||(a=getColHeaderWidth(e)),l.colValueArray)return i=getColWidth(e,o,l.colValueArray),Math.max(a,i);var s=getData();s.getItems&&(s=s.getItems());var d=(t?l.rowSelectionModeOnInit:void 0)||l.rowSelectionMode;if(d===Slick.RowSelectionMode.FirstRow&&(s=s.slice(0,1)),d===Slick.RowSelectionMode.LastRow&&(s=s.slice(s.length-1,s.length)),d===Slick.RowSelectionMode.FirstNRows&&(s=s.slice(0,l.rowSelectionCount)),l.valueFilterMode===Slick.ValueFilterMode.DeDuplicate){var c={};for(u=0,n=s.length;u<n;u++)c[s[u][e.field]]=!0;if(Object.keys)s=Object.keys(c);else for(var u in s=[],c)s.push(u)}if(l.valueFilterMode===Slick.ValueFilterMode.GetGreatestAndSub){var h,p=0;for(u=0,n=s.length;u<n;u++)w=s[u][e.field],Math.abs(w)>p&&(h=w,p=Math.abs(w));h=\"\"+h,s=[h=+(h=Array(h.length+1).join(\"9\"))]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestTextAndSub){var m=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length);w=Array(m+1).join(\"m\"),r=options.autosizeTextAvgToMWidthRatio,s=[w]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestText){m=0;var w,v=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length,v=u);s=[w=s[v][e.field]]}return i=getColWidth(e,o,s)*r,Math.max(a,i)}function getColWidth(e,o,t){var n=getColumnIndex(e.id),l=$('<div class=\"slick-row ui-widget-content\"></div>'),r=$('<div class=\"slick-cell\"></div>');r.css({position:\"absolute\",visibility:\"hidden\",\"text-overflow\":\"initial\",\"white-space\":\"nowrap\"}),l.append(r),o.append(l);var i,a,s,d,c=0;return canvas_context&&e.autoSize.widthEvalMode===Slick.WidthEvalMode.CanvasTextSize?(canvas_context.font=r.css(\"font-size\")+\" \"+r.css(\"font-family\"),$(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,(i=(a=\"\"+d)?canvas_context.measureText(a).width:0)>c&&(c=i,s=a)})),r.html(s),i=r.outerWidth(),l.remove(),i):($(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,applyFormatResultToCellNode(e.formatterOverride?e.formatterOverride(o,n,d,e,t):e.formatter?e.formatter(o,n,d,e,t):\"\"+d,r[0]),(i=r.outerWidth())>c&&(c=i)})),l.remove(),c)}function getColHeaderWidth(e){var o=0,t=getUID()+e.id,n=document.getElementById(t),l=t+\"_\";if(n){var r=n.cloneNode(!0);r.id=l,r.style.cssText=\"position: absolute; visibility: hidden;right: auto;text-overflow: initial;white-space: nowrap;\",n.parentNode.insertBefore(r,n),o=r.offsetWidth,r.parentNode.removeChild(r)}else{var i=getHeader(e);o=(n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+e.name+\"</span>\").attr(\"id\",l).css({position:\"absolute\",visibility:\"hidden\",right:\"auto\",\"text-overflow:\":\"initial\",\"white-space\":\"nowrap\"}).addClass(e.headerCssClass||\"\").appendTo(i))[0].offsetWidth,i[0].removeChild(n[0])}return o}function legacyAutosizeColumns(){var e,o,t,n=[],l=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],n.push(o.width),r+=o.width,o.resizable&&(l+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&l;){var a=(r-i)/l;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var s=n[e];if(!(!o.resizable||s<=o.minWidth||s<=absoluteColumnMinWidth)){var d=Math.max(o.minWidth,absoluteColumnMinWidth),c=Math.floor(a*(s-d))||1;r-=c=Math.min(c,s-d),l-=c,n[e]-=c}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=n[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,n[e]+=r<=i?h:0}if(t>=r)break;t=r}var m=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=n[e]&&(m=!0),columns[e].width=n[e];reRenderColumns(m)}function reRenderColumns(e){applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),e&&(invalidateAllRows(),render())}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function applyColumnGroupHeaderWidths(){if(treeColumns.hasDepth())for(var e=$groupHeadersL.length-1;e>=0;e--){treeColumns.getColumnsInDepth(e);$().add($groupHeadersL[e]).add($groupHeadersR[e]).each((function(e){var o=$(this),t=0;o.width(0===e?getHeadersWidthL():getHeadersWidthR()),o.children().each((function(){var e=$(this),n=$(this).data(\"column\");n.width=0,n.columns.forEach((function(){var e=o.next().children(\":eq(\"+t+++\")\");n.width+=e.outerWidth()})),e.width(n.width-headerColumnWidthDiff)}))}))}}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),n=columns.length;o<n;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,n=0;n<columns.length;n++)e=columns[n].width,(o=getColumnCssRules(n)).left.style.left=t+\"px\",o.right.style.right=(-1!=options.frozenColumn&&n>options.frozenColumn?canvasWidthR:canvasWidthL)-t-e+\"px\",options.frozenColumn==n?t=0:t+=columns[n].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,n){null==n.sortAsc&&(n.sortAsc=!0);var l=getColumnIndex(n.columnId);null!=l&&(t.eq(l).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(n.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(l).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){var t=selectedRows.slice(0);selectedRows=[];for(var n={},l=0;l<o.length;l++)for(var r=o[l].fromRow;r<=o[l].toRow;r++){n[r]||(selectedRows.push(r),n[r]={});for(var i=o[l].fromCell;i<=o[l].toCell;i++)canCellBeSelected(r,i)&&(n[r][columns[i].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,n),simpleArrayEquals(t,selectedRows)&&trigger(self.onSelectedRowsChanged,{rows:getSelectedRows(),previousSelectedRows:t},e)}function simpleArrayEquals(e,o){return Array.isArray(e)&&Array.isArray(o)&&o.sort().toString()!==e.sort().toString()}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,options.frozenColumn==o?e=0:e+=columns[o].width}function updateColumnProps(){columnsById={};for(var e=0;e<columns.length;e++){columns[e].width&&(columns[e].widthRequest=columns[e].width);var o=columns[e]=$.extend({},columnDefaults,columns[e]);o.autoSize=$.extend({},columnAutosizeDefaults,o.autoSize),columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth),o.resizable}}function setColumns(e){var o=new Slick.TreeColumns(e);columns=o.hasDepth()?(treeColumns=o).extractColumns():e,updateColumnProps(),updateColumnCaches(),initialized&&(setPaneVisibility(),setOverflow(),invalidateAllRows(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),removeCssRules(),createCssRules(),resizeCanvas(),updateCanvasWidth(),applyColumnHeaderWidths(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){if(getEditorLock().commitCurrentEdit()){makeActiveCellNormal(),void 0!==e.showColumnHeader&&setColumnHeaderVisibility(e.showColumnHeader),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength());var t=$.extend(!0,{},options);options=$.extend(options,e),trigger(self.onSetOptions,{optionsBefore:t,optionsAfter:options}),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render(),setFrozenOptions(),setScroller(),zombieRowNodeFromLastMouseWheelEvent=null,setColumns(treeColumns.extractColumns())}}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1),options.forceFitColumns&&(options.autosizeColsMode=Slick.GridAutosizeColsMode.LegacyForceFit,console.log(\"forceFitColumns option is deprecated - use autosizeColsMode\"))}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data&&data.length||0}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e,o){var t=!1!==o;options.showTopPanel!=e&&(options.showTopPanel=e,e?t?$topPanelScroller.slideDown(\"fast\",resizeCanvas):($topPanelScroller.show(),resizeCanvas()):t?$topPanelScroller.slideUp(\"fast\",resizeCanvas):($topPanelScroller.hide(),resizeCanvas()))}function setHeaderRowVisibility(e,o){var t=!1!==o;options.showHeaderRow!=e&&(options.showHeaderRow=e,e?t?$headerRowScroller.slideDown(\"fast\",resizeCanvas):($headerRowScroller.show(),resizeCanvas()):t?$headerRowScroller.slideUp(\"fast\",resizeCanvas):($headerRowScroller.hide(),resizeCanvas()))}function setColumnHeaderVisibility(e,o){options.showColumnHeader!=e&&(options.showColumnHeader=e,e?o?$headerScroller.slideDown(\"fast\",resizeCanvas):($headerScroller.show(),resizeCanvas()):o?$headerScroller.slideUp(\"fast\",resizeCanvas):($headerScroller.hide(),resizeCanvas()))}function setFooterRowVisibility(e,o){var t=!1!==o;options.showFooterRow!=e&&(options.showFooterRow=e,e?t?$footerRowScroller.slideDown(\"fast\",resizeCanvas):($footerRowScroller.show(),resizeCanvas()):t?$footerRowScroller.slideUp(\"fast\",resizeCanvas):($footerRowScroller.hide(),resizeCanvas()))}function setPreHeaderPanelVisibility(e,o){var t=!1!==o;options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?t?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):($preHeaderPanelScroller.show(),resizeCanvas()):t?$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas):($preHeaderPanelScroller.hide(),resizeCanvas()))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-$viewportScrollContainerY.height()+(viewportHasHScroll||hasFrozenColumns()?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,lastRenderedScrollTop=scrollTop=prevScrollTop=t,hasFrozenColumns()&&($viewportTopL[0].scrollTop=t),hasFrozenRows&&($viewportBottomL[0].scrollTop=$viewportBottomR[0].scrollTop=t),$viewportScrollContainerY[0].scrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,n,l,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),n=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return n&&n.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function callFormatter(e,o,t,n,l,r){var i,a=data.getItemMetadata&&data.getItemMetadata(e);if(a=a&&a.columns){var s=a[n.id]||a[o];i=getFormatter(e,n)(e,o,t,n,l,s)}else i=getFormatter(e,n)(e,o,t,n,l);return i}function getEditor(e,o){var t=columns[o],n=data.getItemMetadata&&data.getItemMetadata(e),l=n&&n.columns;return l&&l[t.id]&&void 0!==l[t.id].editor?l[t.id].editor:l&&l[o]&&void 0!==l[o].editor?l[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,n,l){var r=getDataItem(t),i=t<l&&!r,a=\"slick-row\"+(hasFrozenRows&&t<=options.frozenRow?\" frozen\":\"\")+(i?\" loading\":\"\")+(t===activeRow&&options.showCellSelection?\" active\":\"\")+(t%2==1?\" odd\":\" even\");r||(a+=\" \"+options.addNewRowCssClass);var s=data.getItemMetadata&&data.getItemMetadata(t);s&&s.cssClasses&&(a+=\" \"+s.cssClasses);var d,c,u=getFrozenRowOffset(t),h=\"<div class='ui-widget-content \"+a+\"' style='top:\"+(getRowTop(t)-u)+\"px'>\";e.push(h),hasFrozenColumns()&&o.push(h);for(var p=0,m=columns.length;p<m;p++){if(c=columns[p],d=1,s&&s.columns){var w=s.columns[c.id]||s.columns[p];\"*\"===(d=w&&w.colspan||1)&&(d=m-p)}if(columnPosRight[Math.min(m-1,p+d-1)]>n.leftPx){if(!c.alwaysRenderColumn&&columnPosLeft[p]>n.rightPx)break;hasFrozenColumns()&&p>options.frozenColumn?appendCellHtml(o,t,p,d,r):appendCellHtml(e,t,p,d,r)}else(c.alwaysRenderColumn||hasFrozenColumns()&&p<=options.frozenColumn)&&appendCellHtml(e,t,p,d,r);d>1&&(p+=d-1)}e.push(\"</div>\"),hasFrozenColumns()&&o.push(\"</div>\")}function appendCellHtml(e,o,t,n,l){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+n-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var a in hasFrozenColumns()&&t<=options.frozenColumn&&(i+=\" frozen\"),o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[a][o]&&cellCssClasses[a][o][r.id]&&(i+=\" \"+cellCssClasses[a][o][r.id]);var s=null,d=\"\";l&&(s=getDataItemValueForColumn(l,r),null==(d=getFormatter(o,r)(o,t,s,r,l,self))&&(d=\"\"));var c=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:s,dataContext:l})||\"\";c+=d&&d.addClasses?(c?\" \":\"\")+d.addClasses:\"\";var u=d&&d.toolTip?\"title='\"+d.toolTip+\"'\":\"\",h=\"\";if(r.hasOwnProperty(\"cellAttrs\")&&r.cellAttrs instanceof Object)for(var a in r.cellAttrs)r.cellAttrs.hasOwnProperty(a)&&(h+=\" \"+a+'=\"'+r.cellAttrs[a]+'\" ');e.push(\"<div class='\"+i+(c?\" \"+c:\"\")+\"' \"+u+h+\">\"),l&&e.push(\"[object Object]\"!==Object.prototype.toString.call(d)?d:d.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=n}function cleanupRows(e){for(var o in rowsCache){var t=!0;hasFrozenRows&&(options.frozenBottom&&o>=actualFrozenRow||!options.frozenBottom&&o<=actualFrozenRow)&&(t=!1),(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&t&&removeRowFromCache(o)}options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var n in postProcessgroupId++,o)o.hasOwnProperty(n)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|n],columnIdx:0|n,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(rowNodeFromLastMouseWheelEvent==o.rowNode[0]||hasFrozenColumns()&&rowNodeFromLastMouseWheelEvent==o.rowNode[1]?(o.rowNode.hide(),zombieRowNodeFromLastMouseWheelEvent=o.rowNode):o.rowNode.each((function(){this.parentElement.removeChild(this)})),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses),e.toolTip&&$(o).attr(\"title\",e.toolTip)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var n=columns[o],l=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(l);else applyFormatResultToCellNode(l?getFormatter(e,n)(e,o,getDataItemValueForColumn(l,n),n,l,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var n in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=o.cellNodesByColumnIdx[n][0];e===activeRow&&n===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,l)(e,n,getDataItemValueForColumn(t,l),l,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){if(options.autoHeight&&-1==options.frozenColumn||(topPanelH=options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0,headerRowH=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,footerRowH=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0),options.autoHeight){var e=$paneHeaderL.outerHeight();e+=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,e+=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0,e+=getCanvasWidth()>viewportW?scrollbarDimensions.height:0,viewportH=options.rowHeight*getDataLengthIncludingAddNew()+(-1==options.frozenColumn?e:0)}else{var o=options.showColumnHeader?parseFloat($.css($headerScroller[0],\"height\"))+getVBoxDelta($headerScroller):0,t=options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0;viewportH=parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-o-topPanelH-headerRowH-footerRowH-t}return numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportH}function getViewportWidth(){viewportW=parseFloat($container.width())}function resizeCanvas(){if(initialized){paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,getViewportWidth(),getViewportHeight(),hasFrozenRows?options.frozenBottom?(paneTopH=viewportH-frozenRowsHeight-scrollbarDimensions.height,paneBottomH=frozenRowsHeight+scrollbarDimensions.height):(paneTopH=frozenRowsHeight,paneBottomH=viewportH-frozenRowsHeight):paneTopH=viewportH,paneTopH+=topPanelH+headerRowH+footerRowH,hasFrozenColumns()&&options.autoHeight&&(paneTopH+=scrollbarDimensions.height),viewportTopH=paneTopH-topPanelH-headerRowH-footerRowH,options.autoHeight&&(hasFrozenColumns()&&$container.height(paneTopH+parseFloat($.css($headerScrollerL[0],\"height\"))),$paneTopL.css(\"position\",\"relative\")),$paneTopL.css({top:$paneHeaderL.height(),height:paneTopH});var e=$paneTopL.position().top+paneTopH;options.autoHeight||$viewportTopL.height(viewportTopH),hasFrozenColumns()?($paneTopR.css({top:$paneHeaderL.height(),height:paneTopH}),$viewportTopR.height(viewportTopH),hasFrozenRows&&($paneBottomL.css({top:e,height:paneBottomH}),$paneBottomR.css({top:e,height:paneBottomH}),$viewportBottomR.height(paneBottomH))):hasFrozenRows&&($paneBottomL.css({width:\"100%\",height:paneBottomH}),$paneBottomL.css(\"top\",e)),hasFrozenRows?($viewportBottomL.height(paneBottomH),options.frozenBottom?($canvasBottomL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasBottomR.height(frozenRowsHeight)):($canvasTopL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasTopR.height(frozenRowsHeight))):$viewportTopR.height(viewportTopH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render()}}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew(),t=0,l=hasFrozenRows&&!options.frozenBottom?$canvasBottomL.height():$canvasTopL.height();if(hasFrozenRows)t=getDataLength()-options.frozenRow;else t=o+(options.leaveSpaceForNewRows?numVisibleRows-1:0);var r=$viewportScrollContainerY.height(),i=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&t*options.rowHeight>r,makeActiveCellNormal();var a=e-1;for(var s in rowsCache)s>a&&removeRowFromCache(s);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>a&&resetActiveCell();l=h;options.autoHeight?h=options.rowHeight*t:(th=Math.max(options.rowHeight*t,r-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==l&&(hasFrozenRows&&!options.frozenBottom?($canvasBottomL.css(\"height\",h),hasFrozenColumns()&&$canvasBottomR.css(\"height\",h)):($canvasTopL.css(\"height\",h),$canvasTopR.css(\"height\",h)),scrollTop=$viewportScrollContainerY[0].scrollTop);var d=scrollTop+offset<=th-r;0==th||0==scrollTop?page=offset=0:scrollTo(d?scrollTop+offset:th-r),h!=l&&options.autoHeight&&resizeCanvas(),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&i!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),n=Math.round(viewportH/options.rowHeight),l=options.minRowBuffer;return-1==vScrollDir?(t.top-=n,t.bottom+=l):1==vScrollDir?(t.top-=l,t.bottom+=n):(t.top-=l,t.bottom+=l),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.children().last();o.cellRenderQueue.length;){var n=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[n]=t,0===(t=t.prev()).length&&(t=$(o.rowNode[0]).children().last())}}function cleanUpCells(e,o){if(!hasFrozenRows||!(options.frozenBottom&&o>actualFrozenRow||o<=actualFrozenRow)){var t,n=rowsCache[o],l=[];for(var r in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(r)&&!((r|=0)<=options.frozenColumn||Array.isArray(columns)&&columns[r]&&columns[r].alwaysRenderColumn)){var i=n.cellColSpans[r];(columnPosLeft[r]>e.rightPx||columnPosRight[Math.min(columns.length-1,r+i-1)]<e.leftPx)&&(o==activeRow&&r==activeCell||l.push(r))}for(;null!=(t=l.pop());)n.cellNodesByColumnIdx[t][0].parentElement.removeChild(n.cellNodesByColumnIdx[t][0]),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}}function cleanUpAndRenderCells(e){for(var o,t,n,l=[],r=[],i=e.top,a=e.bottom;i<=a;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var s=data.getItemMetadata&&data.getItemMetadata(i);s=s&&s.columns;for(var d=getDataItem(i),c=0,u=columns.length;c<u&&!(columnPosLeft[c]>e.rightPx);c++)if(null==(n=o.cellColSpans[c])){if(n=1,s){var h=s[columns[c].id]||s[c];\"*\"===(n=h&&h.colspan||1)&&(n=u-c)}columnPosRight[Math.min(u-1,c+n-1)]>e.leftPx&&(appendCellHtml(l,i,c,n,d),t++),c+=n>1?n-1:0}else c+=n>1?n-1:0;t&&(t,r.push(i))}if(l.length){var p,m,w=document.createElement(\"div\");for(w.innerHTML=l.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)m=w.lastChild,hasFrozenColumns()&&v>options.frozenColumn?o.rowNode[1].appendChild(m):o.rowNode[0].appendChild(m),o.cellNodesByColumnIdx[v]=$(m)}}}function renderRows(e){for(var o=[],t=[],n=[],l=!1,r=getDataLength(),i=e.top,a=e.bottom;i<=a;i++)rowsCache[i]||hasFrozenRows&&options.frozenBottom&&i==getDataLength()||(renderedRows++,n.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(o,t,i,e,r),activeCellNode&&activeRow===i&&(l=!0),counter_rows_rendered++);if(n.length){var s=document.createElement(\"div\"),d=document.createElement(\"div\");s.innerHTML=o.join(\"\"),d.innerHTML=t.join(\"\");for(i=0,a=n.length;i<a;i++)hasFrozenRows&&n[i]>=actualFrozenRow?hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)).add($(d.firstChild).appendTo($canvasBottomR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)):hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL)).add($(d.firstChild).appendTo($canvasTopR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL));l&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache){var o=e?parseInt(e):0;rowsCache[o].rowNode[0].style.top=getRowTop(o)+\"px\"}}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();if(cleanupRows(o),lastRenderedScrollLeft!=scrollLeft){if(hasFrozenRows){var t=$.extend(!0,{},o);options.frozenBottom?(t.top=actualFrozenRow,t.bottom=getDataLength()):(t.top=0,t.bottom=options.frozenRow),cleanUpAndRenderCells(t)}cleanUpAndRenderCells(o)}renderRows(o),hasFrozenRows&&(options.frozenBottom?renderRows({top:actualFrozenRow,bottom:getDataLength()-1,leftPx:o.leftPx,rightPx:o.rightPx}):renderRows({top:0,bottom:options.frozenRow-1,leftPx:o.leftPx,rightPx:o.rightPx})),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScrollContainer[0])}function handleHeaderRowScroll(){var e=$headerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handleFooterRowScroll(){var e=$footerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=o)}function handleScroll(){return scrollTop=$viewportScrollContainerY[0].scrollTop,scrollLeft=$viewportScrollContainerX[0].scrollLeft,_handleScroll(!1)}function _handleScroll(e){var o=$viewportScrollContainerY[0].scrollHeight-$viewportScrollContainerY[0].clientHeight,t=$viewportScrollContainerY[0].scrollWidth-$viewportScrollContainerY[0].clientWidth;o=Math.max(0,o),t=Math.max(0,t),scrollTop>o&&(scrollTop=o),scrollLeft>t&&(scrollLeft=t);var l=Math.abs(scrollTop-prevScrollTop),r=Math.abs(scrollLeft-prevScrollLeft);if(r&&(prevScrollLeft=scrollLeft,$viewportScrollContainerX[0].scrollLeft=scrollLeft,$headerScrollContainer[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScrollContainer[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScrollContainer[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&(hasFrozenColumns()?$preHeaderPanelScrollerR[0].scrollLeft=scrollLeft:$preHeaderPanelScroller[0].scrollLeft=scrollLeft),hasFrozenColumns()?hasFrozenRows&&($viewportTopR[0].scrollLeft=scrollLeft):hasFrozenRows&&($viewportTopL[0].scrollLeft=scrollLeft)),l)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e&&($viewportScrollContainerY[0].scrollTop=scrollTop),hasFrozenColumns()&&(hasFrozenRows&&!options.frozenBottom?$viewportBottomL[0].scrollTop=scrollTop:$viewportTopL[0].scrollTop=scrollTop),l<viewportH)scrollTo(scrollTop+offset);else{var i=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),i!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(r||l){var a=Math.abs(lastRenderedScrollLeft-scrollLeft),s=Math.abs(lastRenderedScrollTop-scrollTop);(a>20||s>20)&&(options.forceSyncScrolling||s<viewportH&&a<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}return trigger(self.onScroll,{scrollLeft,scrollTop}),!(!r&&!l)}function ActionThrottle(e,o){var t=!1,n=!1;function l(){n=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){n?(l(),r()):t=!1}return{enqueue:function(){t?n=!0:r()},dequeue:l}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var n in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=postProcessedRows[o][n];if(l.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[n];i&&l.asyncPostRender(i,o,getDataItem(o),l,\"C\"===r),postProcessedRows[o][n]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,n,l,r;for(var i in rowsCache){if(r=o&&o[i],l=e&&e[i],r)for(n in r)l&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).removeClass(r[n]);if(l)for(n in l)r&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).addClass(l[n])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){(t=t||100,rowsCache[e])&&function e(o,n){n&&setTimeout((function(){o.queue((function(){o.toggleClass(options.cellFlashingCssClass).dequeue(),e(o,n-1)}))}),t)}($(getCellNode(e,o)),4)}function handleMouseWheel(e,o,t,n){var l=$(e.target).closest(\".slick-row\"),r=l[0];if(r!=rowNodeFromLastMouseWheelEvent){var i=l.parents(\".grid-canvas\").hasClass(\"grid-canvas-left\");if(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent[i?0:1]!=r){var a=zombieRowNodeFromLastMouseWheelEvent[i||1==zombieRowNodeFromLastMouseWheelEvent.length?0:1];a.parentElement.removeChild(a),zombieRowNodeFromLastMouseWheelEvent=null}rowNodeFromLastMouseWheelEvent=r}scrollTop=Math.max(0,$viewportScrollContainerY[0].scrollTop-n*options.rowHeight),scrollLeft=$viewportScrollContainerX[0].scrollLeft+10*t,_handleScroll(!0)&&e.preventDefault()}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,n=columns[o.cell],l=!!(options.editable&&n&&n.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,l,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleFooterContextMenu(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterContextMenu,{column:t},e)}function handleFooterClick(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterClick,{column:t},e)}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),n=0,l=0,r=0;r<columns.length&&l<e;r++)l+=columns[r].width,n++;return n<0&&(n=0),{row:t,cell:n-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)for(var t in rowsCache[o].rowNode)if(rowsCache[o].rowNode[t]===e)return o?parseInt(o):0;return null}function getFrozenRowOffset(e){return hasFrozenRows?options.frozenBottom?e>=actualFrozenRow?h<viewportTopH?actualFrozenRow*options.rowHeight:h:0:e>=actualFrozenRow?frozenRowsHeight:0:0}function getCellFromEvent(e){var o,t,n=$(e.target).closest(\".slick-cell\",$canvas);if(!n.length)return null;if(o=getRowFromNode(n[0].parentNode),hasFrozenRows){var l=n.parents(\".grid-canvas\").offset(),r=0;n.parents(\".grid-canvas-bottom\").length&&(r=options.frozenBottom?$canvasTopL.height():frozenRowsHeight),o=getCellFromPoint(e.clientX-l.left,e.clientY-l.top+r+$(document).scrollTop()).row}return t=getCellFromNode(n[0]),null==o||null==t?null:{row:o,cell:t}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getFrozenRowOffset(e),n=getRowTop(e)-t,l=n+options.rowHeight-1,r=0,i=0;i<o;i++)r+=columns[i].width,options.frozenColumn==i&&(r=0);return{top:n,left:r,bottom:l,right:r+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){if(scrollRowIntoView(e,t),!(o<=options.frozenColumn)){var n=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(n>1?n-1:0)])}}function internalScrollColumnIntoView(e,o){var t=scrollLeft+$viewportScrollContainerX.width();e<scrollLeft?($viewportScrollContainerX.scrollLeft(e),handleScroll(),render()):o>t&&($viewportScrollContainerX.scrollLeft(Math.min(e,o-$viewportScrollContainerX[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,n,l){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));if(null!=(activeCellNode=e)){var r=$(activeCellNode),i=r.offset(),a=Math.floor(r.parents(\".grid-canvas\").offset().top),s=r.parents(\".grid-canvas-bottom\").length;hasFrozenRows&&s&&(a-=options.frozenBottom?$canvasTopL.height():frozenRowsHeight);var d=getCellFromPoint(i.left,Math.ceil(i.top)-a);activeRow=d.row,activeCell=activePosX=activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&(r.addClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,l)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,l))}else activeRow=activeCell=null;n||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var n=columns[activeCell],l=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:l,column:n})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\");var i=data.getItemMetadata&&data.getItemMetadata(activeRow),a=(i=i&&i.columns)&&(i[n.id]||i[activeCell]);currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:n,columnMetaData:a,item:l||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),l&&(currentEditor.loadValue(l),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){if(!hasFrozenRows||!options.frozenBottom&&e>actualFrozenRow-1||options.frozenBottom&&e<actualFrozenRow-1){var t=$viewportScrollContainerY.height(),n=hasFrozenRows&&!options.frozenBottom?e-options.frozenRow:e,l=n*options.rowHeight,r=(n+1)*options.rowHeight-t+(viewportHasHScroll?scrollbarDimensions.height:0);(n+1)*options.rowHeight>scrollTop+t+offset?(scrollTo(o?l:r),render()):n*options.rowHeight<scrollTop+offset&&(scrollTo(o?r:l),render())}}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop+options.rowHeight-1)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,n=getDataLengthIncludingAddNew();t>=n&&(t=n-1),t<0&&(t=0);for(var l=0,r=null,i=activePosX;l<=activePosX;)canCellBeActive(t,l)&&(r=l),l+=getColspan(t,l);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,n=null,l=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(n=t),t+=getColspan(e,t);null!==n?(setActiveCellInternal(getCellNode(e,n)),activePosX=l):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var n=t.columns[columns[o].id]||t.columns[o],l=n&&n.colspan;return l=\"*\"===l?columns.length-o:l||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var n=findFirstFocusableCell(e);if(null===n||n>=o)return null;for(var l,r={row:e,cell:n,posX:n};;){if(!(l=gotoRight(r.row,r.cell,r.posX)))return null;if(l.cell>=o)return r;r=l}}function gotoDown(e,o,t){for(var n,l=getDataLengthIncludingAddNew();;){if(++e>=l)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoUp(e,o,t){for(var n;;){if(--e<0)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var n=gotoRight(e,o,t);if(n)return n;var l=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(l=findFirstFocusableCell(e)))return{row:e,cell:l,posX:l};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var n,l;!n&&!(n=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(l=findLastFocusableCell(e))&&(n={row:e,cell:l,posX:l})}return n}function gotoRowStart(e,o,t){var n=findFirstFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function gotoRowEnd(e,o,t){var n=findLastFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){if(hasFrozenRows&&options.frozenBottom&o.row==getDataLength())return;var t=o.row==getDataLength();return(!options.frozenBottom&&o.row>=actualFrozenRow||options.frozenBottom&&o.row<actualFrozenRow)&&scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){if(rowsCache[e]){ensureCellNodesInRowsCache(e);try{return rowsCache[e].cellNodesByColumnIdx.length>o?rowsCache[e].cellNodesByColumnIdx[o][0]:null}catch(t){return rowsCache[e].cellNodesByColumnIdx[o]}}return null}function setActiveCell(e,o,t,n,l){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,n,l)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var n=t&&t.columns;return n&&n[columns[o].id]&&void 0!==n[columns[o].id].focusable?!!n[columns[o].id].focusable:n&&n[o]&&void 0!==n[o].focusable?!!n[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var n=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return n&&void 0!==n.selectable?!!n.selectable:!!columns[o].selectable}function gotoCell(e,o,t,n){if(initialized&&canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()){scrollCellIntoView(e,o,!1);var l=getCellNode(e,o),r=columns[o],i=!!(options.editable&&r&&r.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(l,t||e===getDataLength()||options.autoEdit,null,i,n),currentEditor||setFocus()}}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var n={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,n)):(n.execute(),makeActiveCellNormal())}else{var l={};currentEditor.applyValue(l,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:l,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,n=0;n<e.length;n++)o.push(new Slick.Range(e[n],0,e[n],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows.slice(0)}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.4.27\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onFooterContextMenu:new Slick.Event,onFooterClick:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsDrag:new Slick.Event,onColumnsResized:new Slick.Event,onBeforeColumnsResize:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,onSetOptions:new Slick.Event,registerPlugin,unregisterPlugin,getPluginByName,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,autosizeColumn,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,applyFormatResultToCellNode,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,getCanvases,getActiveCanvasNode,setActiveCanvasNode,getViewportNode,getActiveViewportNode,setActiveViewportNode,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,getPreHeaderPanelLeft:getPreHeaderPanel,getPreHeaderPanelRight,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,getFrozenRowOffset,setColumnHeaderVisibility,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n",
       "      465: function _(t,e,a){\n",
       "      /*!\n",
       "           * jquery.event.drag - v 2.3.0\n",
       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
       "           */\n",
       "      var n=t(458);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)){var d=n(t.target).attr(\"class\")||\"\";if(!n(t.target).is(a.not)&&d&&-1!==d.toString().indexOf(\"slick\")&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n",
       "      466: function _(t,e,a){\n",
       "      /*!\n",
       "           * jquery.event.drop - v 2.3.0\n",
       "           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n",
       "           * Open Source MIT License - http://threedubmedia.com/code/license\n",
       "           */\n",
       "      var n=t(458);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.length&&!i.is(document)?i.offset():{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var e,a,r,d,l,c,s,u,p=0,h=t.interactions.length,m=[o.event.pageX,o.event.pageY],f=o.tolerance||o.modes[o.mode];do{if(u=t.interactions[p]){if(!u)return;u.drop=[],l=[],c=u.droppable.length,f&&(r=o.locate(u.proxy)),e=0;do{if(s=u.droppable[e]){if(!(a=(d=n.data(s,o.datakey)).location))continue;d.winner=f?f.call(o,o.event,r,a):o.contains(a,m)?1:0,l.push(d)}}while(++e<c);l.sort(o.sort),e=0;do{(d=l[e])&&(d.winner&&u.drop.length<o.multi?(d.active[p]||d.anyactive||(!1!==i.drag.hijack(o.event,\"dropstart\",t,p,d.elem)[0]?(d.active[p]=1,d.anyactive+=1):d.winner=0),d.winner&&u.drop.push(d.elem)):d.active[p]&&1==d.anyactive&&(i.drag.hijack(o.event,\"dropend\",t,p,d.elem),d.active[p]=0,d.anyactive-=1))}while(++e<c)}}while(++p<h);o.last&&m[0]==o.last.pageX&&m[1]==o.last.pageY?delete o.timer:o.timer=setTimeout((function(){o.tolerate(t)}),o.delay),o.last=o.event}};i.dropinit=i.dropstart=i.dropend=o},\n",
       "      467: function _(e,t,n){var r=e(458),o=e(460);var i={Avg:function(e){this.field_=e,this.init=function(){this.count_=0,this.nonNullCount_=0,this.sum_=0},this.accumulate=function(e){var t=e[this.field_];this.count_++,null==t||\"\"===t||isNaN(t)||(this.nonNullCount_++,this.sum_+=parseFloat(t))},this.storeResult=function(e){e.avg||(e.avg={}),0!==this.nonNullCount_&&(e.avg[this.field_]=this.sum_/this.nonNullCount_)}},Min:function(e){this.field_=e,this.init=function(){this.min_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(null==this.min_||t<this.min_)&&(this.min_=t)},this.storeResult=function(e){e.min||(e.min={}),e.min[this.field_]=this.min_}},Max:function(e){this.field_=e,this.init=function(){this.max_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(null==this.max_||t>this.max_)&&(this.max_=t)},this.storeResult=function(e){e.max||(e.max={}),e.max[this.field_]=this.max_}},Sum:function(e){this.field_=e,this.init=function(){this.sum_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(this.sum_+=parseFloat(t))},this.storeResult=function(e){e.sum||(e.sum={}),e.sum[this.field_]=this.sum_}},Count:function(e){this.field_=e,this.init=function(){},this.storeResult=function(e){e.count||(e.count={}),e.count[this.field_]=e.group.rows.length}}};t.exports={DataView:function(e){var t,n,i,l,a,u=this,s=\"id\",g=[],c=[],f={},p=null,h=null,d=null,m=!1,v=!0,_={},w={},y=[],$=[],C={getter:null,formatter:null,comparer:function(e,t){return e.value===t.value?0:e.value>t.value?1:-1},predefinedValues:[],aggregators:[],aggregateEmpty:!1,aggregateCollapsed:!1,aggregateChildGroups:!1,collapsed:!1,displayTotalsRow:!0,lazyTotalsCalculation:!1},I=[],R=[],x=[],E=0,M=0,F=0,S=new o.Event,b=new o.Event,A=new o.Event,N=new o.Event,G=new o.Event,T=new o.Event,O=new o.Event,P=new o.Event;function D(e){for(var t,n=e=e||0,r=g.length;n<r;n++){if(void 0===(t=g[n][s]))throw new Error(\"Each data element must implement a unique 'id' property\");f[t]=n}}function K(){var e=E?Math.max(1,Math.ceil(F/E)):1;return{pageSize:E,pageNum:M,totalRows:F,totalPages:e,dataView:u}}function j(e,r){v=r,n=e,t=null,!1===r&&g.reverse(),g.sort(e),!1===r&&g.reverse(),f={},D(),le()}function B(e,r){v=r,t=e,n=null;var o=Object.prototype.toString;Object.prototype.toString=\"function\"==typeof e?e:function(){return this[e]},!1===r&&g.reverse(),g.sort(),Object.prototype.toString=o,!1===r&&g.reverse(),f={},D(),le()}function z(t){e.groupItemMetadataProvider||(e.groupItemMetadataProvider=new o.Data.GroupItemMetadataProvider),R=[],x=[],I=(t=t||[])instanceof Array?t:[t];for(var n=0;n<I.length;n++){var i=I[n]=r.extend(!0,{},C,I[n]);i.getterIsAFn=\"function\"==typeof 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n=0;n<I.length;n++)x[n]={},I[n].collapsed=t,!0===t?P.notify({level:n,groupingKey:null}):O.notify({level:n,groupingKey:null});else x[e]={},I[e].collapsed=t,!0===t?P.notify({level:e,groupingKey:null}):O.notify({level:e,groupingKey:null});le()}function J(e,t,n){x[e][t]=I[e].collapsed^n,le()}function Q(e,t){for(var n,r,i,l=[],a={},u=t?t.level+1:0,s=I[u],g=0,c=s.predefinedValues.length;g<c;g++)(n=a[r=s.predefinedValues[g]])||((n=new o.Group).value=r,n.level=u,n.groupingKey=(t?t.groupingKey+\":|:\":\"\")+r,l[l.length]=n,a[r]=n);for(g=0,c=e.length;g<c;g++)i=e[g],(n=a[r=s.getterIsAFn?s.getter(i):i[s.getter]])||((n=new o.Group).value=r,n.level=u,n.groupingKey=(t?t.groupingKey+\":|:\":\"\")+r,l[l.length]=n,a[r]=n),n.rows[n.count++]=i;if(u<I.length-1)for(g=0;g<l.length;g++)(n=l[g]).groups=Q(n.rows,n);return l.length&&function e(t,n){var r,o=I[n=n||0],i=o.collapsed,l=x[n],a=t.length;for(;a--;)(r=t[a]).collapsed&&!o.aggregateCollapsed||(r.groups&&e(r.groups,n+1),o.aggregators.length&&(o.aggregateEmpty||r.rows.length||r.groups&&r.groups.length)&&Y(r),r.collapsed=i^l[r.groupingKey],r.title=o.formatter?o.formatter(r):r.value)}(l,u),l.sort(I[u].comparer),l}function X(e){var t,n=e.group,r=I[n.level],o=n.level==I.length,i=r.aggregators.length;if(!o&&r.aggregateChildGroups)for(var l=n.groups.length;l--;)n.groups[l].totals.initialized||X(n.groups[l].totals);for(;i--;)(t=r.aggregators[i]).init(),!o&&r.aggregateChildGroups?r.compiledAccumulators[i].call(t,n.groups):r.compiledAccumulators[i].call(t,n.rows),t.storeResult(e);e.initialized=!0}function Y(e){var t=I[e.level],n=new o.GroupTotals;n.group=e,e.totals=n,t.lazyTotalsCalculation||X(n)}function Z(e){var 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E?(y.length<=M*E&&(M=0===y.length?0:Math.floor((y.length-1)/E)),o=y.slice(E*M,E*M+E)):o=y,{totalRows:y.length,rows:o}}function ie(e){p=null,_.isFilterNarrowing==w.isFilterNarrowing&&_.isFilterExpanding==w.isFilterExpanding||($=[]);var t=oe(e);F=t.totalRows;var n=t.rows;R=[],I.length&&(R=Q(n)).length&&(n=function e(t,n){for(var r,o,i=I[n=n||0],l=[],a=0,u=0,s=t.length;u<s;u++){if(o=t[u],l[a++]=o,!o.collapsed)for(var g=0,c=(r=o.groups?e(o.groups,n+1):o.rows).length;g<c;g++)l[a++]=r[g];o.totals&&i.displayTotalsRow&&(!o.collapsed||i.aggregateCollapsed)&&(l[a++]=o.totals)}return l}(R));var r=function(e,t){var n,r,o,i=[],l=0,a=Math.max(t.length,e.length);_&&_.ignoreDiffsBefore&&(l=Math.max(0,Math.min(t.length,_.ignoreDiffsBefore))),_&&_.ignoreDiffsAfter&&(a=Math.min(t.length,Math.max(0,_.ignoreDiffsAfter)));for(var u=l,g=e.length;u<a;u++)u>=g?i[i.length]=u:(n=t[u],r=e[u],(!n||I.length&&(o=n.__nonDataRow||r.__nonDataRow)&&n.__group!==r.__group||n.__group&&!n.equals(r)||o&&(n.__groupTotals||r.__groupTotals)||n[s]!=r[s]||d&&d[n[s]])&&(i[i.length]=u));return i}(c,n);return c=n,r}function le(){if(!m){var e=r.extend(!0,{},K()),t=c.length,n=F,o=ie(g);E&&F<M*E&&(M=Math.max(0,Math.ceil(F/E)-1),o=ie(g)),d=null,w=_,_={},n!==F&&(G.notify(e,null,u),T.notify(K(),null,u)),t!==c.length&&b.notify({previous:t,current:c.length,dataView:u,callingOnRowsChanged:o.length>0},null,u),o.length>0&&A.notify({rows:o,dataView:u,calledOnRowCountChanged:t!==c.length},null,u),(t!==c.length||o.length>0)&&N.notify({rowsDiff:o,previousRowCount:t,currentRowCount:c.length,rowCountChanged:t!==c.length,rowsChanged:o.length>0,dataView:u},null,u)}}e=r.extend(!0,{},{groupItemMetadataProvider:null,inlineFilters:!1},e),r.extend(this,{beginUpdate:function(){m=!0},endUpdate:function(){m=!1,le()},setPagingOptions:function(e){G.notify(K(),null,u),null!=e.pageSize&&(E=e.pageSize,M=E?Math.min(M,Math.max(0,Math.ceil(F/E)-1)):0),null!=e.pageNum&&(M=Math.min(e.pageNum,Math.max(0,Math.ceil(F/E)-1))),T.notify(K(),null,u),le()},getPagingInfo:K,getIdPropertyName:function(){return s},getItems:function(){return g},setItems:function(e,t){void 0!==t&&(s=t),g=y=e,f={},D(),function(){for(var e,t=0,n=g.length;t<n;t++)if(void 0===(e=g[t][s])||f[e]!==t)throw new Error(\"Each data element must implement a unique 'id' property\")}(),le(),S.notify({idProperty:t},null,u)},setFilter:function(t){h=t,e.inlineFilters&&(l=function(){var e=Z(h),t=\"{ _retval[_idx++] = $item$; continue _coreloop; }$1\",n=e.body.replace(/return false\\s*([;}]|\\}|$)/gi,\"{ continue _coreloop; }$1\").replace(/return!1([;}]|\\}|$)/gi,\"{ continue _coreloop; }$1\").replace(/return true\\s*([;}]|\\}|$)/gi,t).replace(/return!0([;}]|\\}|$)/gi,t).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ($1) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),r=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");r=(r=(r=r.replace(/\\$filter\\$/gi,n)).replace(/\\$item\\$/gi,e.params[0])).replace(/\\$args\\$/gi,e.params[1]);var o=new Function(\"_items,_args\",r);return o.displayName=\"compiledFilter\",o.name=te(o,\"compiledFilter\"),o}(),a=function(){var e=Z(h),t=\"{ _cache[_i] = true;_retval[_idx++] = $item$; continue _coreloop; }$1\",n=e.body.replace(/return false\\s*([;}]|\\}|$)/gi,\"{ continue _coreloop; }$1\").replace(/return!1([;}]|\\}|$)/gi,\"{ continue _coreloop; }$1\").replace(/return true\\s*([;}]|\\}|$)/gi,t).replace(/return!0([;}]|\\}|$)/gi,t).replace(/return ([^;}]+?)\\s*([;}]|$)/gi,\"{ if ((_cache[_i] = $1)) { _retval[_idx++] = $item$; }; continue _coreloop; }$2\"),r=[\"var _retval = [], _idx = 0; \",\"var $item$, $args$ = _args; \",\"_coreloop: \",\"for (var _i = 0, _il = _items.length; _i < _il; _i++) { \",\"$item$ = _items[_i]; \",\"if (_cache[_i]) { \",\"_retval[_idx++] = $item$; \",\"continue _coreloop; \",\"} \",\"$filter$; \",\"} \",\"return _retval; \"].join(\"\");r=(r=(r=r.replace(/\\$filter\\$/gi,n)).replace(/\\$item\\$/gi,e.params[0])).replace(/\\$args\\$/gi,e.params[1]);var o=new Function(\"_items,_args,_cache\",r),i=\"compiledFilterWithCaching\";return o.displayName=i,o.name=te(o,i),o}()),le()},getFilter:function(){return h},getFilteredItems:function(){return y},sort:j,fastSort:B,reSort:function(){n?j(n,v):t&&B(t,v)},setGrouping:z,getGrouping:function(){return I},groupBy:function(e,t,n){z(null!=e?{getter:e,formatter:t,comparer:n}:[])},setAggregators:function(e,t){if(!I.length)throw new Error(\"At least one grouping must be specified before calling setAggregators().\");I[0].aggregators=e,I[0].aggregateCollapsed=t,z(I)},collapseAllGroups:function(e){W(e,!0)},expandAllGroups:function(e){W(e,!1)},collapseGroup:function(e){var t,n,r=Array.prototype.slice.call(arguments),o=r[0];1===r.length&&-1!==o.indexOf(\":|:\")?(t=o,n=o.split(\":|:\").length-1):(t=r.join(\":|:\"),n=r.length-1),J(n,t,!0),P.notify({level:n,groupingKey:t})},expandGroup:function(e){var t,n,r=Array.prototype.slice.call(arguments),o=r[0];1===r.length&&-1!==o.indexOf(\":|:\")?(n=o.split(\":|:\").length-1,t=o):(n=r.length-1,t=r.join(\":|:\")),J(n,t,!1),O.notify({level:n,groupingKey:t})},getGroups:function(){return R},getIdxById:function(e){return f[e]},getRowByItem:function(e){return V(),p[e[s]]},getRowById:function(e){return V(),p[e]},getItemById:q,getItemByIdx:function(e){return g[e]},mapItemsToRows:function(e){var t=[];V();for(var n=0,r=e.length;n<r;n++){var o=p[e[n][s]];null!=o&&(t[t.length]=o)}return t},mapRowsToIds:function(e){for(var t=[],n=0,r=e.length;n<r;n++)e[n]<c.length&&(t[t.length]=c[e[n]][s]);return t},mapIdsToRows:function(e){var t=[];V();for(var n=0,r=e.length;n<r;n++){var o=p[e[n]];null!=o&&(t[t.length]=o)}return t},setRefreshHints:function(e){_=e},setFilterArgs:function(e){i=e},refresh:le,updateItem:U,insertItem:L,addItem:function(e){g.push(e),D(g.length-1),le()},deleteItem:k,sortedAddItem:H,sortedUpdateItem:function(e,t){if(void 0===f[e]||e!==t[s])throw new Error(\"Invalid or non-matching id \"+f[e]);if(!n)throw new Error(\"sortedUpdateItem() requires a sort comparer, use sort()\");var r=q(e);0!==n(r,t)?(k(e),H(t)):U(e,t)},syncGridSelection:function(e,t,n){var i,l=this,a=l.mapRowsToIds(e.getSelectedRows()),u=new o.Event;function s(t){a.join(\",\")!=t.join(\",\")&&(a=t,u.notify({grid:e,ids:a,dataView:l},new o.EventData,l))}return e.onSelectedRowsChanged.subscribe((function(t,o){if(!i){var u=l.mapRowsToIds(e.getSelectedRows());if(n&&e.getOptions().multiSelect)s(r.grep(a,(function(e){return void 0===l.getRowById(e)})).concat(u));else s(u)}})),this.onRowsOrCountChanged.subscribe((function(){if(a.length>0){i=!0;var n=l.mapIdsToRows(a);t||s(l.mapRowsToIds(n)),e.setSelectedRows(n),i=!1}})),u},syncGridCellCssStyles:function(e,t){var n,r;function o(e){for(var t in n={},e){var r=c[t][s];n[r]=e[t]}}function i(){if(n){r=!0,V();var o={};for(var i in n){var l=p[i];null!=l&&(o[l]=n[i])}e.setCellCssStyles(t,o),r=!1}}o(e.getCellCssStyles(t)),e.onCellCssStylesChanged.subscribe((function(n,l){r||t==l.key&&(l.hash?o(l.hash):(e.onCellCssStylesChanged.unsubscribe(),u.onRowsOrCountChanged.unsubscribe(i)))})),this.onRowsOrCountChanged.subscribe(i)},getLength:function(){return c.length},getItem:function(e){var t=c[e];if(t&&t.__group&&t.totals&&!t.totals.initialized){var n=I[t.level];n.displayTotalsRow||(X(t.totals),t.title=n.formatter?n.formatter(t):t.value)}else t&&t.__groupTotals&&!t.initialized&&X(t);return t},getItemMetadata:function(t){var n=c[t];return void 0===n?null:n.__group?e.groupItemMetadataProvider.getGroupRowMetadata(n):n.__groupTotals?e.groupItemMetadataProvider.getTotalsRowMetadata(n):null},onSetItemsCalled:S,onRowCountChanged:b,onRowsChanged:A,onRowsOrCountChanged:N,onBeforePagingInfoChanged:G,onPagingInfoChanged:T,onGroupExpanded:O,onGroupCollapsed:P})},Aggregators:i,Data:{Aggregators:i}}},\n",
       "      468: function _(e,t,i){var n=e(458),o=e(460);function l(e){var t,i;function o(){var t=e.column.editorFixedDecimalPlaces;return void 0===t&&(t=l.DefaultDecimalPlaces),t||0===t?t:null}this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field];var l=o();null!==l&&(i||0===i)&&i.toFixed&&(i=i.toFixed(l)),t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){var e=parseFloat(t.val());l.AllowEmptyValue?e||0===e||(e=\"\"):e=e||0;var i=o();return null!==i&&(e||0===e)&&e.toFixed&&(e=parseFloat(e.toFixed(i))),e},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid number\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}function a(e){var t=this.selectionStart,i=this.value.length;(e.keyCode===o.keyCode.LEFT&&t>0||e.keyCode===o.keyCode.RIGHT&&t<i-1)&&e.stopImmediatePropagation()}function s(e){e.keyCode!==o.keyCode.LEFT&&e.keyCode!==o.keyCode.RIGHT||e.stopImmediatePropagation()}l.DefaultDecimalPlaces=null,l.AllowEmptyValue=!1,t.exports={Editors:{Text:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.getValue=function(){return t.val()},this.setValue=function(e){t.val(e)},this.loadValue=function(n){i=n[e.column.field]||\"\",t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Integer:function(e){var t,i;this.init=function(){var i=e.grid.getOptions().editorCellNavOnLRKeys;t=n(\"<INPUT type=text class='editor-text' />\").appendTo(e.container).on(\"keydown.nav\",i?a:s).focus().select()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(isNaN(t.val()))return{valid:!1,msg:\"Please enter a valid integer\"};if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},Float:l,Date:function(e){var t,i,o=!1;this.init=function(){(t=n(\"<INPUT type=text class='editor-text' />\")).appendTo(e.container),t.focus().select(),t.datepicker({showOn:\"button\",buttonImageOnly:!0,beforeShow:function(){o=!0},onClose:function(){o=!1}}),t.width(t.width()-18)},this.destroy=function(){n.datepicker.dpDiv.stop(!0,!0),t.datepicker(\"hide\"),t.datepicker(\"destroy\"),t.remove()},this.show=function(){o&&n.datepicker.dpDiv.stop(!0,!0).show()},this.hide=function(){o&&n.datepicker.dpDiv.stop(!0,!0).hide()},this.position=function(e){o&&n.datepicker.dpDiv.css(\"top\",e.top+30).css(\"left\",e.left)},this.focus=function(){t.focus()},this.loadValue=function(n){i=n[e.column.field],t.val(i),t[0].defaultValue=i,t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==i)&&t.val()!=i},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()},YesNoSelect:function(e){var t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==o.keyCode.LEFT||t.which==o.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,n=this.value.length;t.keyCode===o.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===o.keyCode.RIGHT&&i>=n-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n",
       "      469: function _(e,n,r){e(460);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n",
       "      470: function _(t,o,r){var e=t(458),n=t(460);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n",
       "      471: function _(e,s,t){var o=e(458),l=e(460);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(e,s,t,o,l,r){if(!a.enableExpandCollapse)return l.title;var c=15*l.level+\"px\";return(a.checkboxSelect?'<span class=\"'+a.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+a.toggleCssClass+\" \"+(l.collapsed?a.toggleCollapsedCssClass:a.toggleExpandedCssClass)+\"' style='margin-left:\"+c+\"'></span><span class='\"+a.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,o,l,a){return o.groupTotalsFormatter&&o.groupTotalsFormatter(l,o,a)||\"\"},includeHeaderTotals:!1},a=o.extend(!0,{},t,e);function r(e,t){var r=o(e.target),c=this.getDataItem(t.row);if(c&&c instanceof l.Group&&r.hasClass(a.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}if(c&&c instanceof l.Group&&r.hasClass(a.checkboxSelectCssClass)){c.selectChecked=!c.selectChecked,r.removeClass(c.selectChecked?\"unchecked\":\"checked\"),r.addClass(c.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(c.rows);(c.selectChecked?a.checkboxSelectPlugin.selectRows:a.checkboxSelectPlugin.deSelectRows)(i)}}function c(e,t){if(a.enableExpandCollapse&&e.which==l.keyCode.SPACE){var o=this.getActiveCell();if(o){var r=this.getDataItem(o.row);if(r&&r instanceof l.Group){var c=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:c.top,ignoreDiffsAfter:c.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}}}}return{init:function(e){(s=e).onClick.subscribe(r),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(r),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(e){var s=e&&e.level;return{selectable:!1,focusable:a.groupFocusable,cssClasses:a.groupCssClass+\" slick-group-level-\"+s,formatter:a.includeHeaderTotals&&a.totalsFormatter,columns:{0:{colspan:a.includeHeaderTotals?\"1\":\"*\",formatter:a.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(e){var s=e&&e.group&&e.group.level;return{selectable:!1,focusable:a.totalsFocusable,cssClasses:a.totalsCssClass+\" slick-group-level-\"+s,formatter:a.totalsFormatter,editor:null}},getOptions:function(){return a},setOptions:function(e){o.extend(!0,a,e)}}}}},\n",
       "      472: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(276),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n",
       "      473: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(472),c=e(114),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n",
       "      474: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(475),n=t(455),l=r.__importStar(t(18)),a=t(29),d=t(81);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n",
       "      475: function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(186)),a=n.__importStar(t(188)),o=t(476),s=n.__importStar(t(18)),l=t(72),c=t(8),m=t(81);class _ extends m.Model{constructor(t){super(t)}doFormat(t,e,r,n,i){return null==r?\"\":(r+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}}r.CellFormatter=_,_.__name__=\"CellFormatter\";class u extends _{constructor(t){super(t)}static init_StringFormatter(){this.define({font_style:[s.FontStyle,\"normal\"],text_align:[s.TextAlign,\"left\"],text_color:[s.Color]})}doFormat(t,e,r,n,i){const{font_style:a,text_align:o,text_color:s}=this,c=l.div({},null==r?\"\":\"\"+r);switch(a){case\"bold\":c.style.fontWeight=\"bold\";break;case\"italic\":c.style.fontStyle=\"italic\"}return null!=o&&(c.style.textAlign=o),null!=s&&(c.style.color=s),c.outerHTML}}r.StringFormatter=u,u.__name__=\"StringFormatter\",u.init_StringFormatter();class F extends u{constructor(t){super(t)}static init_ScientificFormatter(){this.define({nan_format:[s.String],precision:[s.Number,10],power_limit_high:[s.Number,5],power_limit_low:[s.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,n,i){const a=r<=this.scientific_limit_low||r>=this.scientific_limit_high;let o=this.precision;return o<1&&(o=1),r=null!=r&&!isNaN(r)||null==this.nan_format?a?r.toExponential(o):r.toFixed(o).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"):this.nan_format,super.doFormat(t,e,r,n,i)}}r.ScientificFormatter=F,F.__name__=\"ScientificFormatter\",F.init_ScientificFormatter();class d extends u{constructor(t){super(t)}static init_NumberFormatter(){this.define({format:[s.String,\"0,0\"],language:[s.String,\"en\"],rounding:[s.RoundingFunction,\"round\"],nan_format:[s.String]})}doFormat(t,e,r,n,i){const{format:o,language:s,nan_format:l}=this,c=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return r=null!=r&&!isNaN(r)||null==l?a.format(r,o,s,c):l,super.doFormat(t,e,r,n,i)}}r.NumberFormatter=d,d.__name__=\"NumberFormatter\",d.init_NumberFormatter();class f extends _{constructor(t){super(t)}static init_BooleanFormatter(){this.define({icon:[s.String,\"check\"]})}doFormat(t,e,r,n,i){return r?l.i({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=f,f.__name__=\"BooleanFormatter\",f.init_BooleanFormatter();class g extends u{constructor(t){super(t)}static init_DateFormatter(){this.define({format:[s.String,\"ISO-8601\"],nan_format:[s.String]})}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,n,a){const{nan_format:o}=this;let s;return s=null!=(r=c.isString(r)?parseInt(r,10):r)&&!isNaN(r)&&-9223372036854776!==r||null==o?null==r?\"\":i.default(r,this.getFormat()):o,super.doFormat(t,e,s,n,a)}}r.DateFormatter=g,g.__name__=\"DateFormatter\",g.init_DateFormatter();class h extends _{constructor(t){super(t)}static init_HTMLTemplateFormatter(){this.define({template:[s.String,\"<%= value %>\"]})}doFormat(t,e,r,n,i){const{template:a}=this;if(null==r)return\"\";return o._.template(a)(Object.assign(Object.assign({},i),{value:r}))}}r.HTMLTemplateFormatter=h,h.__name__=\"HTMLTemplateFormatter\",h.init_HTMLTemplateFormatter()},\n",
       "      476: function _(e,n,t){var f=e(477),i=f.template;function o(e,n,t){return i(e,n,t)}o._=f,n.exports=o,\"function\"==typeof define&&define.amd?define((function(){return o})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=o)},\n",
       "      477: function _(r,e,n){\n",
       "      //     (c) 2009-2013 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n",
       "      //     Underscore may be freely distributed under the MIT license.\n",
       "      var t={},a=Array.prototype,u=Object.prototype,c=a.slice,o=u.toString,l=u.hasOwnProperty,i=a.forEach,f=Object.keys,s=Array.isArray,p=function(){},_=p.each=p.forEach=function(r,e,n){if(null!=r)if(i&&r.forEach===i)r.forEach(e,n);else if(r.length===+r.length){for(var a=0,u=r.length;a<u;a++)if(e.call(n,r[a],a,r)===t)return}else{var c=p.keys(r);for(a=0,u=c.length;a<u;a++)if(e.call(n,r[c[a]],c[a],r)===t)return}};p.keys=f||function(r){if(r!==Object(r))throw new TypeError(\"Invalid object\");var e=[];for(var n in r)p.has(r,n)&&e.push(n);return e},p.defaults=function(r){return _(c.call(arguments,1),(function(e){if(e)for(var n in e)void 0===r[n]&&(r[n]=e[n])})),r},p.isArray=s||function(r){return\"[object Array]\"===o.call(r)},p.has=function(r,e){if(!p.isArray(e))return null!=r&&l.call(r,e);for(var n=e.length,t=0;t<n;t++){var a=e[t];if(null==r||!l.call(r,a))return!1;r=r[a]}return!!n};var h={escape:{\"&\":\"&amp;\",\"<\":\"&lt;\",\">\":\"&gt;\",'\"':\"&quot;\",\"'\":\"&#x27;\"}},v={escape:new RegExp(\"[\"+p.keys(h.escape).join(\"\")+\"]\",\"g\")};p.each([\"escape\"],(function(r){p[r]=function(e){return null==e?\"\":(\"\"+e).replace(v[r],(function(e){return h[r][e]}))}})),p.templateSettings={evaluate:/<%([\\s\\S]+?)%>/g,interpolate:/<%=([\\s\\S]+?)%>/g,escape:/<%-([\\s\\S]+?)%>/g};var g=/(.)^/,y={\"'\":\"'\",\"\\\\\":\"\\\\\",\"\\r\":\"r\",\"\\n\":\"n\",\"\\t\":\"t\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},j=/\\\\|'|\\r|\\n|\\t|\\u2028|\\u2029/g;p.template=function(r,e,n){var t;n=p.defaults({},n,p.templateSettings);var a=new RegExp([(n.escape||g).source,(n.interpolate||g).source,(n.evaluate||g).source].join(\"|\")+\"|$\",\"g\"),u=0,c=\"__p+='\";r.replace(a,(function(e,n,t,a,o){return c+=r.slice(u,o).replace(j,(function(r){return\"\\\\\"+y[r]})),n&&(c+=\"'+\\n((__t=(\"+n+\"))==null?'':_.escape(__t))+\\n'\"),t&&(c+=\"'+\\n((__t=(\"+t+\"))==null?'':__t)+\\n'\"),a&&(c+=\"';\\n\"+a+\"\\n__p+='\"),u=o+e.length,e})),c+=\"';\\n\",n.variable||(c=\"with(obj||{}){\\n\"+c+\"}\\n\"),c=\"var __t,__p='',__j=Array.prototype.join,print=function(){__p+=__j.call(arguments,'');};\\n\"+c+\"return __p;\\n\";try{t=new Function(n.variable||\"obj\",\"_\",c)}catch(r){throw r.source=c,r}if(e)return t(e,p);var o=function(r){return t.call(this,r,p)};return o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n",
       "      478: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n",
       "      479: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n  /* Divider */\\n  /* Excluded item from Column Picker will be hidden */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default,\\n.bk-root .slick-group-header.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns,\\n.bk-root .slick-group-header-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default,\\n.bk-root .slick-group-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px;\\n  border-top: 0px;\\n  border-bottom: 0px;\\n  float: left;\\n  line-height: 20px;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-pane {\\n  position: absolute;\\n  outline: 0;\\n  overflow: hidden;\\n  width: 100%;\\n}\\n.bk-root .slick-pane-header {\\n  display: block;\\n}\\n.bk-root .slick-header {\\n  overflow: hidden;\\n  position: relative;\\n}\\n.bk-root .slick-headerrow {\\n  overflow: hidden;\\n  position: relative;\\n}\\n.bk-root .slick-top-panel-scroller {\\n  overflow: hidden;\\n  position: relative;\\n}\\n.bk-root .slick-top-panel {\\n  width: 10000px;\\n}\\n.bk-root .slick-viewport {\\n  position: relative;\\n  outline: 0;\\n  width: 100%;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  width: 14px;\\n  background-repeat: no-repeat;\\n  background-position: left center;\\n  background-image: url(../images/down.gif);\\n  cursor: pointer;\\n  display: none;\\n  border-left: thin ridge silver;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-menubutton,\\n.bk-root .slick-header-column-active .slick-header-menubutton {\\n  display: inline-block;\\n}\\n.bk-root .slick-header-menu {\\n  position: absolute;\\n  display: inline-block;\\n  margin: 0;\\n  padding: 2px;\\n  cursor: default;\\n}\\n.bk-root .slick-header-menuitem {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-menuicon {\\n  display: inline-block;\\n  width: 16px;\\n  height: 16px;\\n  vertical-align: middle;\\n  margin-right: 4px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .slick-header-menucontent {\\n  display: inline-block;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-header-menuitem-disabled {\\n  color: silver;\\n}\\n.bk-root .slick-header-menuitem.slick-header-menuitem-divider {\\n  cursor: default;\\n  border: none;\\n  overflow: hidden;\\n  padding: 0;\\n  height: 1px;\\n  margin: 8px 2px;\\n  background-color: #cecece;\\n}\\n.bk-root .slick-header-menuitem-divider.slick-header-menuitem:hover {\\n  background-color: #cecece;\\n}\\n.bk-root .slick-columnpicker {\\n  border: 1px solid #718BB7;\\n  background: #f0f0f0;\\n  padding: 6px;\\n  -moz-box-shadow: 2px 2px 2px silver;\\n  -webkit-box-shadow: 2px 2px 2px silver;\\n  box-shadow: 2px 2px 2px silver;\\n  min-width: 150px;\\n  cursor: default;\\n  position: absolute;\\n  z-index: 20;\\n  overflow: auto;\\n  resize: both;\\n}\\n.bk-root .slick-columnpicker > .close {\\n  float: right;\\n}\\n.bk-root .slick-columnpicker .title {\\n  font-size: 16px;\\n  width: 60%;\\n  border-bottom: solid 1px #d6d6d6;\\n  margin-bottom: 10px;\\n}\\n.bk-root .slick-columnpicker li {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  background: none;\\n}\\n.bk-root .slick-columnpicker input {\\n  margin: 4px;\\n}\\n.bk-root .slick-columnpicker li a {\\n  display: block;\\n  padding: 4px;\\n  font-weight: bold;\\n}\\n.bk-root .slick-columnpicker li a:hover {\\n  background: white;\\n}\\n.bk-root .slick-columnpicker-list li.hidden {\\n  display: none;\\n}\\n.bk-root .slick-pager {\\n  width: 100%;\\n  height: 26px;\\n  border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  border-bottom: 1px solid silver;\\n  background-image: none;\\n}\\n.bk-root .slick-header-column {\\n  border-right: 1px solid transparent;\\n  background-image: none;\\n}\\n.bk-root .slick-header-column:last-of-type {\\n  border-right-color: transparent;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background-color: #F0F8FF;\\n  background-image: none;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIMwADCBxIUIDBgwIEChgwwECBAgQUFjBAkaJCABgxGlB4AGHCAAIQiBypEEECkScJqgwQEAA7\");\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIOAADCBxIUIDBgwIEChgwAECBAgQUFjAAQIABAwoBaNSIMYCAAwIqGlSIAEHFkiQTIBCgkqDLAAEBADs=\");\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAOCAIAAACQKrqGAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAOwQAADsEBuJFr7QAAABl0RVh0U29mdHdhcmUAcGFpbnQubmV0IDQuMC4xNkRpr/UAAACXSURBVChT1dIxC4MwEAXg/v8/VOhQVDBNakV0KA6pxS4JhWRSIYPEJxwdDi1de7wleR+3JIf486w0hKCKRpSvvOhZcCmvNQBRuKqdah03U7UjNNH81rOaBYDo8SQaPX8JANFEaLaGBeAPaaY61rGksiN6TmR5H1j9CSoAosYYHLA7vTxYMvVEZa0liif23r93xjm3/oEYF8PiDn/I2FHCAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgeAAUAGEgQgIAACBEKLHgwYcKFBh1KFNhQosOKEgMCADs=\");\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgbAAMIDABgoEGDABIeRJhQ4cKGEA8KmEiRosGAADs=\");\\n}\\n.bk-root .slick-header-menubutton {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDgAOAIABADtKYwAAACH5BAEAAAEALAAAAAAOAA4AAAISjI+py+0PHZgUsGobhTn6DxoFADs=\");\\n}\\n.bk-root .slick-pager {\\n  background-image: none;\\n}\\n'},\n",
       "      480: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default='\\n.bk-root .bk-data-table {\\n  box-sizing: content-box;\\n  font-size: 11px;\\n}\\n.bk-root .bk-data-table input[type=\"checkbox\"] {\\n  margin-left: 4px;\\n  margin-right: 4px;\\n}\\n.bk-root .bk-cell-special-defaults {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-select {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .slick-cell.bk-cell-index {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n  text-align: right;\\n  background: #f0f0f0;\\n  color: #909090;\\n}\\n.bk-root .bk-header-index .slick-column-name {\\n  float: right;\\n}\\n.bk-root .slick-row.selected .bk-cell-index {\\n  background-color: transparent;\\n}\\n.bk-root .slick-row.odd {\\n  background: #f0f0f0;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n  border-right-color: transparent;\\n  border: 0.25px solid transparent;\\n}\\n.bk-root .slick-cell .bk {\\n  line-height: inherit;\\n}\\n.bk-root .slick-cell.active {\\n  border-style: dashed;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: #F0F8FF;\\n}\\n.bk-root .slick-cell.editable {\\n  padding-left: 0;\\n  padding-right: 0;\\n}\\n.bk-root .bk-cell-editor {\\n  display: contents;\\n}\\n.bk-root .bk-cell-editor input,\\n.bk-root .bk-cell-editor select {\\n  width: 100%;\\n  height: 100%;\\n  border: 0;\\n  margin: 0;\\n  padding: 0;\\n  outline: 0;\\n  background: transparent;\\n  vertical-align: baseline;\\n}\\n.bk-root .bk-cell-editor input {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .bk-cell-editor-completion {\\n  font-size: 11px;\\n}\\n'},\n",
       "      481: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(463),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(81);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n",
       "      482: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(72),i=t(463),a=t(456),n=t(81);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups([...this.view.indices]),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,autosizeColsMode:this.autosize,multiColumnSort:!1,editable:this.model.editable,autoEdit:this.model.auto_edit,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n",
       "      }, 453, {\"models/widgets/tables/main\":453,\"models/widgets/tables/index\":454,\"models/widgets/tables/cell_editors\":455,\"models/widgets/tables/data_table\":456,\"models/widgets/widget\":472,\"models/widgets/tables/table_widget\":473,\"models/widgets/tables/table_column\":474,\"models/widgets/tables/cell_formatters\":475,\"styles/widgets/tables\":478,\"styles/widgets/slickgrid.css\":479,\"styles/widgets/tables.css\":480,\"models/widgets/tables/row_aggregators\":481,\"models/widgets/tables/data_cube\":482}, {});\n",
       "      })\n",
       "\n",
       "\n",
       "      /* END bokeh-tables.min.js */\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      /* BEGIN panel.min.js */\n",
       "      /*!\n",
       "       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n",
       "       * All rights reserved.\n",
       "       * \n",
       "       * Redistribution and use in source and binary forms, with or without modification,\n",
       "       * are permitted provided that the following conditions are met:\n",
       "       * \n",
       "       * Redistributions of source code must retain the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer.\n",
       "       * \n",
       "       * Redistributions in binary form must reproduce the above copyright notice,\n",
       "       * this list of conditions and the following disclaimer in the documentation\n",
       "       * and/or other materials provided with the distribution.\n",
       "       * \n",
       "       * Neither the name of Anaconda nor the names of any contributors\n",
       "       * may be used to endorse or promote products derived from this software\n",
       "       * without specific prior written permission.\n",
       "       * \n",
       "       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n",
       "       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n",
       "       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n",
       "       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n",
       "       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n",
       "       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n",
       "       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n",
       "       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n",
       "       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n",
       "       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n",
       "       * THE POSSIBILITY OF SUCH DAMAGE.\n",
       "      */\n",
       "      (function(root, factory) {\n",
       "        factory(root[\"Bokeh\"], undefined);\n",
       "      })(this, function(Bokeh, version) {\n",
       "        var define;\n",
       "        return (function(modules, entry, aliases, externals) {\n",
       "          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n",
       "          if (bokeh != null) {\n",
       "            return bokeh.register_plugin(modules, entry, aliases);\n",
       "          } else {\n",
       "            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n",
       "          }\n",
       "        })\n",
       "      ({\n",
       "      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"c4b9651916\"));o.Panel=s;e(\"@bokehjs/base\").register_models(s)},\n",
       "      \"c4b9651916\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const c=a(\"tslib\");var o=a(\"abb1112c2c\");r.AcePlot=o.AcePlot;var t=a(\"66d52165db\");r.Audio=t.Audio;var d=a(\"d9037fe5f1\");r.Card=d.Card;var l=a(\"684c940c17\");r.CommManager=l.CommManager;var v=a(\"d0d2aafca0\");r.DeckGLPlot=v.DeckGLPlot;var b=a(\"c6decbe3f5\");r.ECharts=b.ECharts;var f=a(\"ed08037ce5\");r.HTML=f.HTML;var i=a(\"cb7ac8d1fa\");r.IPyWidget=i.IPyWidget;var P=a(\"284504a0cf\");r.JSON=P.JSON;var n=a(\"2caf092f2b\");r.FileDownload=n.FileDownload;var S=a(\"7b859fb3cf\");r.KaTeX=S.KaTeX;var g=a(\"aded270681\");r.Location=g.Location;var s=a(\"0c21036737\");r.MathJax=s.MathJax;var y=a(\"79c41bbf71\");r.Player=y.Player;var M=a(\"47b5ae5c43\");r.PlotlyPlot=M.PlotlyPlot;var m=a(\"765e9cea08\");r.Progress=m.Progress;var C=a(\"ff9dd91f7b\");r.SingleSelect=C.SingleSelect;var L=a(\"38b2bc9574\");r.State=L.State;var V=a(\"294adeb985\");r.VegaPlot=V.VegaPlot;var u=a(\"b0c3e9e9c2\");r.Video=u.Video;var _=a(\"3c7145a2fa\");r.VideoStream=_.VideoStream,c.__exportStar(a(\"c51f25e2a7\"),r)},\n",
       "      \"abb1112c2c\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.filename.change,()=>this._update_filename()),this.connect(this.model.properties.print_margin.change,()=>this._update_print_margin()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._modelist=this._ace.require(\"ace/ext/modelist\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._update_theme(),this._update_filename(),this._update_language(),this._editor.setReadOnly(this.model.readonly),this._editor.setShowPrintMargin(this.model.print_margin),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_print_margin(){this._editor.setShowPrintMargin(this.model.print_margin)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_filename(){if(this.model.filename){const e=this._modelist.getModeForPath(this.model.filename).mode;this.model.language=e.slice(9)}}_update_language(){null!=this.model.language&&this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}i.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[o.String],filename:[o.String],language:[o.String],theme:[o.String,\"chrome\"],annotations:[o.Array,[]],readonly:[o.Boolean,!1],print_margin:[o.Boolean,!1]}),this.override({height:300,width:300})}}i.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n",
       "      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n",
       "      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n",
       "      \"d9037fe5f1\": function _(e,s,l){Object.defineProperty(l,\"__esModule\",{value:!0});const t=e(\"tslib\"),o=e(\"@bokehjs/models/layouts/column\"),a=t.__importStar(e(\"@bokehjs/core/dom\")),i=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/core/layout/grid\"),c=t.__importStar(e(\"@bokehjs/core/properties\"));class r extends n.Column{constructor(e,s=!1){super(e),this.collapsed=s}_measure_totals(e,s){const l=this.collapsed?e.slice(0,1):e,t=l.length-1;return this.collapsed||(l[t]=l[t]+5),super._measure_totals(l,s)}}l.CollapseableColumnLayout=r,r.__name__=\"CollapseableColumnLayout\";class d extends o.ColumnView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.collapsed.change,()=>this._collapse());const{active_header_background:e,header_background:s,header_color:l}=this.model.properties;this.on_change([e,s,l],()=>this.render())}_update_layout(){const e=this.child_views.map(e=>e.layout);this.layout=new r(e,this.model.collapsed),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0];const s=this.box_sizing();this.model.collapsed&&(s.height=void 0),this.layout.set_sizing(s)}render(){i.empty(this.el);const{background:e,button_css_classes:s,header_color:l,header_tag:t,header_css_classes:o}=this.model;this.el.style.backgroundColor=null!=e?e:\"\",i.classes(this.el).clear().add(...this.css_classes());let n=this.model.header_background;this.model.collapsed||null==this.model.active_header_background||(n=this.model.active_header_background);const c=this.child_views[0];let r;if(this.model.collapsible){this.button_el=a.createElement(\"button\",{type:\"button\",class:o}),this.button_el.style.backgroundColor=null!=n?n:\"\",this.button_el.appendChild(c.el);const e=a.createElement(\"p\",{class:s});e.innerHTML=this.model.collapsed?\"+\":\"−\",this.button_el.appendChild(e),this.button_el.onclick=()=>this._toggle_button(),r=this.button_el}else r=a.createElement(t,{class:o}),r.style.backgroundColor=null!=n?n:\"\",r.appendChild(c.el);r.style.color=null!=l?l:\"\",this.el.appendChild(r),c.render();for(const e of this.child_views.slice(1))this.model.collapsed||this.el.appendChild(e.el),e.render()}_toggle_button(){this.model.collapsed=!this.model.collapsed}_collapse(){this.invalidate_render()}_createElement(){return a.createElement(this.model.tag,{class:this.css_classes()})}}l.CardView=d,d.__name__=\"CardView\";class h extends o.Column{constructor(e){super(e)}static init_Card(){this.prototype.default_view=d,this.define({active_header_background:[c.String,null],button_css_classes:[c.Array,[]],collapsed:[c.Boolean,!0],collapsible:[c.Boolean,!0],header_background:[c.String,null],header_color:[c.String,null],header_css_classes:[c.Array,[]],header_tag:[c.String,\"div\"],tag:[c.String,\"div\"]})}}l.Card=h,h.__name__=\"Card\",h.__module__=\"panel.models.layout\",h.init_Card()},\n",
       "      \"684c940c17\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),l=e(\"@bokehjs/protocol/message\"),_=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new _.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.push(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=this.document.create_json_patch(this._event_buffer);this._event_buffer=[];const t=l.Message.create(\"PATCH-DOC\",{},e);this._client_comm.send(t)}on_ack(e){const t=e.metadata;this._event_buffer.length?(this._blocked=!0,this._timeout=Date.now()+this.timeout,this.process_events()):this._blocked=!1,\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n",
       "      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n",
       "      \"064eac2866\": function _(e,t,n){\n",
       "      /*\n",
       "          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n",
       "          below is preserved to comply with the original license.\n",
       "          \n",
       "          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n",
       "          \n",
       "          Permission is hereby granted, free of charge, to any person obtaining a copy\n",
       "          of this software and associated documentation files (the \"Software\"), to deal\n",
       "          in the Software without restriction, including without limitation the rights\n",
       "          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
       "          copies of the Software, and to permit persons to whom the Software is\n",
       "          furnished to do so, subject to the following conditions:\n",
       "          \n",
       "          The above copyright notice and this permission notice shall be included in\n",
       "          all copies or substantial portions of the Software.\n",
       "          \n",
       "          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
       "          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
       "          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
       "          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
       "          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
       "          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n",
       "          THE SOFTWARE.\n",
       "          */\n",
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       "      \"093eb75864\": function _(E,_,R){_.exports={DEPTH_BUFFER_BIT:256,STENCIL_BUFFER_BIT:1024,COLOR_BUFFER_BIT:16384,POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6,ZERO:0,ONE:1,SRC_COLOR:768,ONE_MINUS_SRC_COLOR:769,SRC_ALPHA:770,ONE_MINUS_SRC_ALPHA:771,DST_ALPHA:772,ONE_MINUS_DST_ALPHA:773,DST_COLOR:774,ONE_MINUS_DST_COLOR:775,SRC_ALPHA_SATURATE:776,CONSTANT_COLOR:32769,ONE_MINUS_CONSTANT_COLOR:32770,CONSTANT_ALPHA:32771,ONE_MINUS_CONSTANT_ALPHA:32772,FUNC_ADD:32774,FUNC_SUBTRACT:32778,FUNC_REVERSE_SUBTRACT:32779,BLEND_EQUATION:32777,BLEND_EQUATION_RGB:32777,BLEND_EQUATION_ALPHA:34877,BLEND_DST_RGB:32968,BLEND_SRC_RGB:32969,BLEND_DST_ALPHA:32970,BLEND_SRC_ALPHA:32971,BLEND_COLOR:32773,ARRAY_BUFFER_BINDING:34964,ELEMENT_ARRAY_BUFFER_BINDING:34965,LINE_WIDTH:2849,ALIASED_POINT_SIZE_RANGE:33901,ALIASED_LINE_WIDTH_RANGE:33902,CULL_FACE_MODE:2885,FRONT_FACE:2886,DEPTH_RANGE:2928,DEPTH_WRITEMASK:2930,DEPTH_CLEAR_VALUE:2931,DEPTH_FUNC:2932,STENCIL_CLEAR_VALUE:2961,STENCIL_FUNC:2962,STENCIL_FAIL:2964,STENCIL_PASS_DEPTH_FAIL:2965,STENCIL_PASS_DEPTH_PASS:2966,STENCIL_REF:2967,STENCIL_VALUE_MASK:2963,STENCIL_WRITEMASK:2968,STENCIL_BACK_FUNC:34816,STENCIL_BACK_FAIL:34817,STENCIL_BACK_PASS_DEPTH_FAIL:34818,STENCIL_BACK_PASS_DEPTH_PASS:34819,STENCIL_BACK_REF:36003,STENCIL_BACK_VALUE_MASK:36004,STENCIL_BACK_WRITEMASK:36005,VIEWPORT:2978,SCISSOR_BOX:3088,COLOR_CLEAR_VALUE:3106,COLOR_WRITEMASK:3107,UNPACK_ALIGNMENT:3317,PACK_ALIGNMENT:3333,MAX_TEXTURE_SIZE:3379,MAX_VIEWPORT_DIMS:3386,SUBPIXEL_BITS:3408,RED_BITS:3410,GREEN_BITS:3411,BLUE_BITS:3412,ALPHA_BITS:3413,DEPTH_BITS:3414,STENCIL_BITS:3415,POLYGON_OFFSET_UNITS:10752,POLYGON_OFFSET_FACTOR:32824,TEXTURE_BINDING_2D:32873,SAMPLE_BUFFERS:32936,SAMPLES:32937,SAMPLE_COVERAGE_VALUE:32938,SAMPLE_COVERAGE_INVERT:32939,COMPRESSED_TEXTURE_FORMATS:34467,VENDOR:7936,RENDERER:7937,VERSION:7938,IMPLEMENTATION_COLOR_READ_TYPE:35738,IMPLEMENTATION_COLOR_READ_FORMAT:35739,BROWSER_DEFAULT_WEBGL:37444,STATIC_DRAW:35044,STREAM_DRAW:35040,DYNAMIC_DRAW:35048,ARRAY_BUFFER:34962,ELEMENT_ARRAY_BUFFER:34963,BUFFER_SIZE:34660,BUFFER_USAGE:34661,CURRENT_VERTEX_ATTRIB:34342,VERTEX_ATTRIB_ARRAY_ENABLED:34338,VERTEX_ATTRIB_ARRAY_SIZE:34339,VERTEX_ATTRIB_ARRAY_STRIDE:34340,VERTEX_ATTRIB_ARRAY_TYPE:34341,VERTEX_ATTRIB_ARRAY_NORMALIZED:34922,VERTEX_ATTRIB_ARRAY_POINTER:34373,VERTEX_ATTRIB_ARRAY_BUFFER_BINDING:34975,CULL_FACE:2884,FRONT:1028,BACK:1029,FRONT_AND_BACK:1032,BLEND:3042,DEPTH_TEST:2929,DITHER:3024,POLYGON_OFFSET_FILL:32823,SAMPLE_ALPHA_TO_COVERAGE:32926,SAMPLE_COVERAGE:32928,SCISSOR_TEST:3089,STENCIL_TEST:2960,NO_ERROR:0,INVALID_ENUM:1280,INVALID_VALUE:1281,INVALID_OPERATION:1282,OUT_OF_MEMORY:1285,CONTEXT_LOST_WEBGL:37442,CW:2304,CCW:2305,DONT_CARE:4352,FASTEST:4353,NICEST:4354,GENERATE_MIPMAP_HINT:33170,BYTE:5120,UNSIGNED_BYTE:5121,SHORT:5122,UNSIGNED_SHORT:5123,INT:5124,UNSIGNED_INT:5125,FLOAT:5126,DOUBLE:5130,DEPTH_COMPONENT:6402,ALPHA:6406,RGB:6407,RGBA:6408,LUMINANCE:6409,LUMINANCE_ALPHA:6410,UNSIGNED_SHORT_4_4_4_4:32819,UNSIGNED_SHORT_5_5_5_1:32820,UNSIGNED_SHORT_5_6_5:33635,FRAGMENT_SHADER:35632,VERTEX_SHADER:35633,COMPILE_STATUS:35713,DELETE_STATUS:35712,LINK_STATUS:35714,VALIDATE_STATUS:35715,ATTACHED_SHADERS:35717,ACTIVE_ATTRIBUTES:35721,ACTIVE_UNIFORMS:35718,MAX_VERTEX_ATTRIBS:34921,MAX_VERTEX_UNIFORM_VECTORS:36347,MAX_VARYING_VECTORS:36348,MAX_COMBINED_TEXTURE_IMAGE_UNITS:35661,MAX_VERTEX_TEXTURE_IMAGE_UNITS:35660,MAX_TEXTURE_IMAGE_UNITS:34930,MAX_FRAGMENT_UNIFORM_VECTORS:36349,SHADER_TYPE:35663,SHADING_LANGUAGE_VERSION:35724,CURRENT_PROGRAM:35725,NEVER:512,ALWAYS:519,LESS:513,EQUAL:514,LEQUAL:515,GREATER:516,GEQUAL:518,NOTEQUAL:517,KEEP:7680,REPLACE:7681,INCR:7682,DECR:7683,INVERT:5386,INCR_WRAP:34055,DECR_WRAP:34056,NEAREST:9728,LINEAR:9729,NEAREST_MIPMAP_NEAREST:9984,LINEAR_MIPMAP_NEAREST:9985,NEAREST_MIPMAP_LINEAR:9986,LINEAR_MIPMAP_LINEAR:9987,TEXTURE_MAG_FILTER:10240,TEXTURE_MIN_FILTER:10241,TEXTURE_WRAP_S:10242,TEXTURE_WRAP_T:10243,TEXTURE_2D:3553,TEXTURE:5890,TEXTURE_CUBE_MAP:34067,TEXTURE_BINDING_CUBE_MAP:34068,TEXTURE_CUBE_MAP_POSITIVE_X:34069,TEXTURE_CUBE_MAP_NEGATIVE_X:34070,TEXTURE_CUBE_MAP_POSITIVE_Y:34071,TEXTURE_CUBE_MAP_NEGATIVE_Y:34072,TEXTURE_CUBE_MAP_POSITIVE_Z:34073,TEXTURE_CUBE_MAP_NEGATIVE_Z:34074,MAX_CUBE_MAP_TEXTURE_SIZE:34076,TEXTURE0:33984,ACTIVE_TEXTURE:34016,REPEAT:10497,CLAMP_TO_EDGE:33071,MIRRORED_REPEAT:33648,TEXTURE_WIDTH:4096,TEXTURE_HEIGHT:4097,FLOAT_VEC2:35664,FLOAT_VEC3:35665,FLOAT_VEC4:35666,INT_VEC2:35667,INT_VEC3:35668,INT_VEC4:35669,BOOL:35670,BOOL_VEC2:35671,BOOL_VEC3:35672,BOOL_VEC4:35673,FLOAT_MAT2:35674,FLOAT_MAT3:35675,FLOAT_MAT4:35676,SAMPLER_2D:35678,SAMPLER_CUBE:35680,LOW_FLOAT:36336,MEDIUM_FLOAT:36337,HIGH_FLOAT:36338,LOW_INT:36339,MEDIUM_INT:36340,HIGH_INT:36341,FRAMEBUFFER:36160,RENDERBUFFER:36161,RGBA4:32854,RGB5_A1:32855,RGB565:36194,DEPTH_COMPONENT16:33189,STENCIL_INDEX:6401,STENCIL_INDEX8:36168,DEPTH_STENCIL:34041,RENDERBUFFER_WIDTH:36162,RENDERBUFFER_HEIGHT:36163,RENDERBUFFER_INTERNAL_FORMAT:36164,RENDERBUFFER_RED_SIZE:36176,RENDERBUFFER_GREEN_SIZE:36177,RENDERBUFFER_BLUE_SIZE:36178,RENDERBUFFER_ALPHA_SIZE:36179,RENDERBUFFER_DEPTH_SIZE:36180,RENDERBUFFER_STENCIL_SIZE:36181,FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE:36048,FRAMEBUFFER_ATTACHMENT_OBJECT_NAME:36049,FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL:36050,FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE:36051,COLOR_ATTACHMENT0:36064,DEPTH_ATTACHMENT:36096,STENCIL_ATTACHMENT:36128,DEPTH_STENCIL_ATTACHMENT:33306,NONE:0,FRAMEBUFFER_COMPLETE:36053,FRAMEBUFFER_INCOMPLETE_ATTACHMENT:36054,FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:36055,FRAMEBUFFER_INCOMPLETE_DIMENSIONS:36057,FRAMEBUFFER_UNSUPPORTED:36061,FRAMEBUFFER_BINDING:36006,RENDERBUFFER_BINDING:36007,READ_FRAMEBUFFER:36008,DRAW_FRAMEBUFFER:36009,MAX_RENDERBUFFER_SIZE:34024,INVALID_FRAMEBUFFER_OPERATION:1286,UNPACK_FLIP_Y_WEBGL:37440,UNPACK_PREMULTIPLY_ALPHA_WEBGL:37441,UNPACK_COLORSPACE_CONVERSION_WEBGL:37443,READ_BUFFER:3074,UNPACK_ROW_LENGTH:3314,UNPACK_SKIP_ROWS:3315,UNPACK_SKIP_PIXELS:3316,PACK_ROW_LENGTH:3330,PACK_SKIP_ROWS:3331,PACK_SKIP_PIXELS:3332,TEXTURE_BINDING_3D:32874,UNPACK_SKIP_IMAGES:32877,UNPACK_IMAGE_HEIGHT:32878,MAX_3D_TEXTURE_SIZE:32883,MAX_ELEMENTS_VERTICES:33e3,MAX_ELEMENTS_INDICES:33001,MAX_TEXTURE_LOD_BIAS:34045,MAX_FRAGMENT_UNIFORM_COMPONENTS:35657,MAX_VERTEX_UNIFORM_COMPONENTS:35658,MAX_ARRAY_TEXTURE_LAYERS:35071,MIN_PROGRAM_TEXEL_OFFSET:35076,MAX_PROGRAM_TEXEL_OFFSET:35077,MAX_VARYING_COMPONENTS:35659,FRAGMENT_SHADER_DERIVATIVE_HINT:35723,RASTERIZER_DISCARD:35977,VERTEX_ARRAY_BINDING:34229,MAX_VERTEX_OUTPUT_COMPONENTS:37154,MAX_FRAGMENT_INPUT_COMPONENTS:37157,MAX_SERVER_WAIT_TIMEOUT:37137,MAX_ELEMENT_INDEX:36203,RED:6403,RGB8:32849,RGBA8:32856,RGB10_A2:32857,TEXTURE_3D:32879,TEXTURE_WRAP_R:32882,TEXTURE_MIN_LOD:33082,TEXTURE_MAX_LOD:33083,TEXTURE_BASE_LEVEL:33084,TEXTURE_MAX_LEVEL:33085,TEXTURE_COMPARE_MODE:34892,TEXTURE_COMPARE_FUNC:34893,SRGB:35904,SRGB8:35905,SRGB8_ALPHA8:35907,COMPARE_REF_TO_TEXTURE:34894,RGBA32F:34836,RGB32F:34837,RGBA16F:34842,RGB16F:34843,TEXTURE_2D_ARRAY:35866,TEXTURE_BINDING_2D_ARRAY:35869,R11F_G11F_B10F:35898,RGB9_E5:35901,RGBA32UI:36208,RGB32UI:36209,RGBA16UI:36214,RGB16UI:36215,RGBA8UI:36220,RGB8UI:36221,RGBA32I:36226,RGB32I:36227,RGBA16I:36232,RGB16I:36233,RGBA8I:36238,RGB8I:36239,RED_INTEGER:36244,RGB_INTEGER:36248,RGBA_INTEGER:36249,R8:33321,RG8:33323,R16F:33325,R32F:33326,RG16F:33327,RG32F:33328,R8I:33329,R8UI:33330,R16I:33331,R16UI:33332,R32I:33333,R32UI:33334,RG8I:33335,RG8UI:33336,RG16I:33337,RG16UI:33338,RG32I:33339,RG32UI:33340,R8_SNORM:36756,RG8_SNORM:36757,RGB8_SNORM:36758,RGBA8_SNORM:36759,RGB10_A2UI:36975,TEXTURE_IMMUTABLE_FORMAT:37167,TEXTURE_IMMUTABLE_LEVELS:33503,UNSIGNED_INT_2_10_10_10_REV:33640,UNSIGNED_INT_10F_11F_11F_REV:35899,UNSIGNED_INT_5_9_9_9_REV:35902,FLOAT_32_UNSIGNED_INT_24_8_REV:36269,UNSIGNED_INT_24_8:34042,HALF_FLOAT:5131,RG:33319,RG_INTEGER:33320,INT_2_10_10_10_REV:36255,CURRENT_QUERY:34917,QUERY_RESULT:34918,QUERY_RESULT_AVAILABLE:34919,ANY_SAMPLES_PASSED:35887,ANY_SAMPLES_PASSED_CONSERVATIVE:36202,MAX_DRAW_BUFFERS:34852,DRAW_BUFFER0:34853,DRAW_BUFFER1:34854,DRAW_BUFFER2:34855,DRAW_BUFFER3:34856,DRAW_BUFFER4:34857,DRAW_BUFFER5:34858,DRAW_BUFFER6:34859,DRAW_BUFFER7:34860,DRAW_BUFFER8:34861,DRAW_BUFFER9:34862,DRAW_BUFFER10:34863,DRAW_BUFFER11:34864,DRAW_BUFFER12:34865,DRAW_BUFFER13:34866,DRAW_BUFFER14:34867,DRAW_BUFFER15:34868,MAX_COLOR_ATTACHMENTS:36063,COLOR_ATTACHMENT1:36065,COLOR_ATTACHMENT2:36066,COLOR_ATTACHMENT3:36067,COLOR_ATTACHMENT4:36068,COLOR_ATTACHMENT5:36069,COLOR_ATTACHMENT6:36070,COLOR_ATTACHMENT7:36071,COLOR_ATTACHMENT8:36072,COLOR_ATTACHMENT9:36073,COLOR_ATTACHMENT10:36074,COLOR_ATTACHMENT11:36075,COLOR_ATTACHMENT12:36076,COLOR_ATTACHMENT13:36077,COLOR_ATTACHMENT14:36078,COLOR_ATTACHMENT15:36079,SAMPLER_3D:35679,SAMPLER_2D_SHADOW:35682,SAMPLER_2D_ARRAY:36289,SAMPLER_2D_ARRAY_SHADOW:36292,SAMPLER_CUBE_SHADOW:36293,INT_SAMPLER_2D:36298,INT_SAMPLER_3D:36299,INT_SAMPLER_CUBE:36300,INT_SAMPLER_2D_ARRAY:36303,UNSIGNED_INT_SAMPLER_2D:36306,UNSIGNED_INT_SAMPLER_3D:36307,UNSIGNED_INT_SAMPLER_CUBE:36308,UNSIGNED_INT_SAMPLER_2D_ARRAY:36311,MAX_SAMPLES:36183,SAMPLER_BINDING:35097,PIXEL_PACK_BUFFER:35051,PIXEL_UNPACK_BUFFER:35052,PIXEL_PACK_BUFFER_BINDING:35053,PIXEL_UNPACK_BUFFER_BINDING:35055,COPY_READ_BUFFER:36662,COPY_WRITE_BUFFER:36663,COPY_READ_BUFFER_BINDING:36662,COPY_WRITE_BUFFER_BINDING:36663,FLOAT_MAT2x3:35685,FLOAT_MAT2x4:35686,FLOAT_MAT3x2:35687,FLOAT_MAT3x4:35688,FLOAT_MAT4x2:35689,FLOAT_MAT4x3:35690,UNSIGNED_INT_VEC2:36294,UNSIGNED_INT_VEC3:36295,UNSIGNED_INT_VEC4:36296,UNSIGNED_NORMALIZED:35863,SIGNED_NORMALIZED:36764,VERTEX_ATTRIB_ARRAY_INTEGER:35069,VERTEX_ATTRIB_ARRAY_DIVISOR:35070,TRANSFORM_FEEDBACK_BUFFER_MODE:35967,MAX_TRANSFORM_FEEDBACK_SEPARATE_COMPONENTS:35968,TRANSFORM_FEEDBACK_VARYINGS:35971,TRANSFORM_FEEDBACK_BUFFER_START:35972,TRANSFORM_FEEDBACK_BUFFER_SIZE:35973,TRANSFORM_FEEDBACK_PRIMITIVES_WRITTEN:35976,MAX_TRANSFORM_FEEDBACK_INTERLEAVED_COMPONENTS:35978,MAX_TRANSFORM_FEEDBACK_SEPARATE_ATTRIBS:35979,INTERLEAV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       "      \"c6decbe3f5\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),h=e(\"@bokehjs/models/layouts/html_box\");class r extends h.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._plot());const{width:e,height:t,renderer:s,theme:i}=this.model.properties;this.on_change([e,t],()=>this._resize()),this.on_change([i,s],()=>this.render())}render(){super.render();const e={width:this.model.width,height:this.model.height,renderer:this.model.renderer};null!=this._chart&&window.echarts.dispose(this._chart),this._chart=window.echarts.init(this.el,this.model.theme,e),this._plot()}after_layout(){super.after_layout(),this._chart.resize()}_plot(){null!=window.echarts&&this._chart.setOption(this.model.data)}_resize(){this._chart.resize({width:this.model.width,height:this.model.height})}}s.EChartsView=r,r.__name__=\"EChartsView\";class o extends h.HTMLBox{constructor(e){super(e)}static init_ECharts(){this.prototype.default_view=r,this.define({data:[i.Any],theme:[i.String,\"default\"],renderer:[i.String,\"canvas\"]})}}s.ECharts=o,o.__name__=\"ECharts\",o.__module__=\"panel.models.echarts\",o.init_ECharts()},\n",
       "      \"ed08037ce5\": function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(\"@bokehjs/models/widgets/markup\"),a=e(\"7116a7a602\");function o(e){return(new DOMParser).parseFromString(e,\"text/html\").documentElement.textContent}r.htmlDecode=o;class s extends a.PanelMarkupView{render(){super.render();const e=o(this.model.text)||this.model.text;e?(this.markup_el.innerHTML=e,Array.from(this.markup_el.querySelectorAll(\"script\")).forEach(e=>{const t=document.createElement(\"script\");Array.from(e.attributes).forEach(e=>t.setAttribute(e.name,e.value)),t.appendChild(document.createTextNode(e.innerHTML)),e.parentNode&&e.parentNode.replaceChild(t,e)})):this.markup_el.innerHTML=\"\"}}r.HTMLView=s,s.__name__=\"HTMLView\";class i extends n.Markup{constructor(e){super(e)}static init_HTML(){this.prototype.default_view=s}}r.HTML=i,i.__name__=\"HTML\",i.__module__=\"panel.models.markup\",i.init_HTML()},\n",
       "      \"cb7ac8d1fa\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"7116a7a602\"),l=window.Jupyter;class o extends d.PanelHTMLBoxView{constructor(){super(...arguments),this.rendered=!1}render(){super.render(),this._render().then(()=>{this.rendered=!0,this.invalidate_layout(),this.notify_finished()})}has_finished(){return this.rendered&&super.has_finished()}async _render(){const{spec:e,state:i}=this.model.bundle;let t;if(null!=l&&null!=l.notebook?t=l.notebook.kernel.widget_manager:null!=window.PyViz.widget_manager&&(t=window.PyViz.widget_manager),t)if(null==this.ipyview){const n=(await t.set_state(i)).find(i=>i.model_id==e.model_id);if(null!=n){const e=await t.create_view(n,{el:this.el});if(this.ipyview=e,e.children_views)for(const i of e.children_views.views)await i;this.el.appendChild(e.el),e.trigger(\"displayed\",e)}}else this.el.appendChild(this.ipyview.el);else console.log(\"Panel IPyWidget model could not find a WidgetManager\")}}t.IPyWidgetView=o,o.__name__=\"IPyWidgetView\";class r extends s.HTMLBox{constructor(e){super(e)}static init_IPyWidget(){this.prototype.default_view=o,this.define({bundle:[n.Any,{}]})}}t.IPyWidget=r,r.__name__=\"IPyWidget\",r.__module__=\"panel.models.ipywidget\",r.init_IPyWidget()},\n",
       "      \"284504a0cf\": function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(\"tslib\"),n=s.__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/models/widgets/markup\"),o=s.__importDefault(e(\"18bba7b7e1\")),d=e(\"7116a7a602\");class a extends d.PanelMarkupView{connect_signals(){super.connect_signals();const{depth:e,hover_preview:t,theme:r}=this.model.properties;this.on_change([e,t,r],()=>this.render())}render(){super.render();const e=this.model.text.replace(/(\\r\\n|\\n|\\r)/gm,\"\").replace(\"'\",'\"');let t;try{t=window.JSON.parse(e)}catch(e){return void(this.markup_el.innerHTML=\"<b>Invalid JSON:</b> \"+e.toString())}const r={hoverPreviewEnabled:this.model.hover_preview,theme:this.model.theme},s=null==this.model.depth?1/0:this.model.depth,n=new o.default(t,s,r).render();let i=\"border-radius: 5px; padding: 10px;\";\"dark\"==this.model.theme?n.style.cssText=\"background-color: rgb(30, 30, 30);\"+i:n.style.cssText=i,this.markup_el.append(n)}}r.JSONView=a,a.__name__=\"JSONView\";const l=[\"dark\",\"light\"];class p extends i.Markup{constructor(e){super(e)}static init_JSON(){this.prototype.default_view=a,this.define({depth:[n.Number,1],hover_preview:[n.Boolean,!1],theme:[n.Enum(l),\"dark\"]})}}r.JSON=p,p.__name__=\"JSON\",p.__module__=\"panel.models.markup\",p.init_JSON()},\n",
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this.config.useToJSON&&\"stringifiable\"===this.type},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hasKey\",{get:function(){return void 0!==this.key},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"constructorName\",{get:function(){return i(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"type\",{get:function(){return this.config.useToJSON&&this.json&&this.json.toJSON?\"stringifiable\":n(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"keys\",{get:function(){if(this.isObject){var t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(f(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(f(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(f(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(a).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return e+\":\"+a(t.json[e])})),n=e.length>=this.config.hoverPreviewFieldCount?\"…\":\"\";return\"{\"+r.join(\", \")+n+\"}\"},t.prototype.render=function(){this.element=m(\"div\",\"row\");var t=this.isObject?m(\"a\",\"toggler-link\"):m(\"span\");if(this.isObject&&!this.useToJSON&&t.appendChild(m(\"span\",\"toggler\")),this.hasKey&&t.appendChild(m(\"span\",\"key\",this.key+\":\")),this.isObject&&!this.useToJSON){var e=m(\"span\",\"value\"),r=m(\"span\"),n=m(\"span\",\"constructor-name\",this.constructorName);if(r.appendChild(n),this.isArray){var o=m(\"span\");o.appendChild(m(\"span\",\"bracket\",\"[\")),o.appendChild(m(\"span\",\"number\",this.json.length)),o.appendChild(m(\"span\",\"bracket\",\"]\")),r.appendChild(o)}e.appendChild(r),t.appendChild(e)}else{(e=this.isUrl?m(\"a\"):m(\"span\")).classList.add(f(this.type)),this.isDate&&e.classList.add(f(\"date\")),this.isUrl&&(e.classList.add(f(\"url\")),e.setAttribute(\"href\",this.json));var i=s(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var a=m(\"span\",\"preview-text\");a.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(a)}var l=m(\"div\",\"children\");return this.isObject&&l.classList.add(f(\"object\")),this.isArray&&l.classList.add(f(\"array\")),this.isEmpty&&l.classList.add(f(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(f(this.config.theme)),this.isOpen&&this.element.classList.add(f(\"open\")),this.element.appendChild(t),this.element.appendChild(l),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+f(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n",
       "      \"2caf092f2b\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=e(\"@bokehjs/core/dom\"),a=l.__importStar(e(\"@bokehjs/core/properties\"));class h extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el),this.input_el=n.input({type:\"bk_btn, bk_btn_type\"}),this.input_el.addEventListener(\"change\",()=>this.change_input())}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}set_disabled(){this.model.disabled?this.anchor_el.setAttribute(\"disabled\",\"\"):this.anchor_el.removeAttribute(\"disabled\")}}i.FileDownloadView=h,h.__name__=\"FileDownloadView\";class _ extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=h,this.define({auto:[a.Boolean,!1],clicks:[a.Number,0],data:[a.NullString,null],label:[a.String,\"Download\"],filename:[a.String,null],button_type:[a.ButtonType,\"default\"],_transfers:[a.Number,0]}),this.override({title:\"\"})}}i.FileDownload=_,_.__name__=\"FileDownload\",_.__module__=\"panel.models.widgets\",_.init_FileDownload()},\n",
       "      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n",
       "      \"aded270681\": function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(\"tslib\").__importStar(o(\"@bokehjs/core/properties\")),a=o(\"@bokehjs/core/view\"),n=o(\"@bokehjs/model\");class h extends a.View{initialize(){super.initialize(),this.model.pathname=window.location.pathname,this.model.search=window.location.search,this.model.hash=window.location.hash,this.model.href=window.location.href,this.model.hostname=window.location.hostname,this.model.protocol=window.location.protocol,this.model.port=window.location.port}connect_signals(){super.connect_signals(),this.connect(this.model.properties.pathname.change,()=>this.update(\"pathname\")),this.connect(this.model.properties.search.change,()=>this.update(\"search\")),this.connect(this.model.properties.hash.change,()=>this.update(\"hash\")),this.connect(this.model.properties.reload.change,()=>this.update(\"reload\"))}update(o){this.model.reload&&\"reload\"!==o?(\"pathname\"==o&&(window.location.pathname=this.model.pathname),\"search\"==o&&(window.location.search=this.model.search),\"hash\"==o&&(window.location.hash=this.model.hash)):(window.history.pushState({},\"\",`${this.model.pathname}${this.model.search}${this.model.hash}`),this.model.href=window.location.href,\"reload\"===o&&window.location.reload())}}t.LocationView=h,h.__name__=\"LocationView\";class s extends n.Model{constructor(o){super(o)}static init_Location(){this.prototype.default_view=h,this.define({href:[i.String,\"\"],hostname:[i.String,\"\"],pathname:[i.String,\"\"],protocol:[i.String,\"\"],port:[i.String,\"\"],search:[i.String,\"\"],hash:[i.String,\"\"],reload:[i.Boolean,!1]})}}t.Location=s,s.__name__=\"Location\",s.__module__=\"panel.models.location\",s.init_Location()},\n",
       "      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n",
       "      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n",
       "      \"47b5ae5c43\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),i=t(\"@bokehjs/core/dom\"),l=t(\"@bokehjs/core/util/object\"),s=t(\"@bokehjs/core/util/eq\"),a=t(\"@bokehjs/models/layouts/html_box\"),p=t(\"99a25e6992\"),n=t(\"990b5dd5c7\"),_=t(\"7116a7a602\"),h=(t,e,o)=>{let r=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const i=t.data;for(let t=0;t<e.points.length;t++){const r=e.points[t];let l={};for(let t in r){const e=r[t];!r.hasOwnProperty(t)||Array.isArray(e)||n.isPlainObject(e)||(l[t]=e)}null!=r&&(r.hasOwnProperty(\"curveNumber\")&&r.hasOwnProperty(\"pointNumber\")&&i[r.curveNumber].hasOwnProperty(\"customdata\")&&(l.customdata=i[r.curveNumber].customdata[r.pointNumber]),r.hasOwnProperty(\"pointNumbers\")&&(l.pointNumbers=r.pointNumbers)),o[t]=l}r.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(r[t]=e[t]);return e.hasOwnProperty(\"range\")&&(r.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(r.lassoPoints=e.lassoPoints),r};class u extends _.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=p.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),this._layout_wrapper=i.div({style:\"height: 100%; width: 100%\"}),this.el.appendChild(this._layout_wrapper),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=n.deepCopy(this.model.layout);if(this._relayouting){const{layout:t}=this._layout_wrapper;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this._layout_wrapper,t,e,this.model.config).then(()=>{var t,e;this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this._layout_wrapper.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this._layout_wrapper,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this._layout_wrapper.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this._layout_wrapper.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this._layout_wrapper,t,\"restyle\"),this._updateViewportProperty()}),this._layout_wrapper.on(\"plotly_click\",t=>{this.model.click_data=h(this._layout_wrapper,t,\"click\")}),this._layout_wrapper.on(\"plotly_hover\",t=>{this.model.hover_data=h(this._layout_wrapper,t,\"hover\")}),this._layout_wrapper.on(\"plotly_selected\",t=>{this.model.selected_data=h(this._layout_wrapper,t,\"selected\")}),this._layout_wrapper.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this._layout_wrapper.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this._layout_wrapper.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1,t=this._layout_wrapper,(e=window.getComputedStyle(t).display)&&\"none\"!==e&&window.Plotly.Plots.resize(this._layout_wrapper)})}_get_trace(t,e){const o=l.clone(this.model.data[t]),r=this.model.data_sources[t];for(const t of r.columns()){let i=r.get_array(t)[0];if(null!=i.shape&&i.shape.length>1){const t=[],e=i.shape;for(let o=0;o<e[0];o++)t.push(i.slice(o*e[1],(o+1)*e[1]));i=t}let l=t.split(\".\"),s=l[l.length-1],a=o;for(let t of l.slice(0,-1))a=a[t];e&&1==l.length?a[s]=[i]:a[s]=i}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this._layout_wrapper._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(s.isEqual(n.get(t,o),e))return!0;{let t=n.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this._layout_wrapper._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let r=o.slice(0,5);\"xaxis\"!==r&&\"yaxis\"!==r||(e[o+\".range\"]=n.deepCopy(t[o].range))}s.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=n.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=u,u.__name__=\"PlotlyPlotView\";class d extends a.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=u,this.define({data:[r.Array,[]],layout:[r.Any,{}],config:[r.Any,{}],data_sources:[r.Array,[]],relayout_data:[r.Any,{}],restyle_data:[r.Array,[]],click_data:[r.Any,{}],hover_data:[r.Any,{}],clickannotation_data:[r.Any,{}],selected_data:[r.Any,{}],viewport:[r.Any,{}],viewport_update_policy:[r.String,\"mouseup\"],viewport_update_throttle:[r.Number,200],_render_count:[r.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n",
       "      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n",
       "      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n",
       "      \"765e9cea08\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class n extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Any,null]})}}t.Progress=n,n.__name__=\"Progress\",n.__module__=\"panel.models.widgets\",n.init_Progress()},\n",
       "      \"ff9dd91f7b\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/core/util/types\"),o=i.__importStar(e(\"@bokehjs/core/properties\")),c=e(\"@bokehjs/models/widgets/input_widget\"),r=e(\"@bokehjs/styles/widgets/inputs\");class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!1,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.style.backgroundImage=\"none\",this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=this.model.value;for(const t of this.el.querySelectorAll(\"option\"))t.value===e&&(t.selected=!0);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\");let t=null;for(const e of this.el.querySelectorAll(\"option\"))if(e.selected){t=e.value;break}this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.SingleSelectView=h,h.__name__=\"SingleSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_SingleSelect(){this.prototype.default_view=h,this.define({value:[o.String,\"\"],options:[o.Array,[]],size:[o.Number,4]})}}s.SingleSelect=d,d.__name__=\"SingleSelect\",d.__module__=\"panel.models.widgets\",d.init_SingleSelect()},\n",
       "      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n",
       "      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n",
       "      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n",
       "      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n",
       "      \"c51f25e2a7\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"6ed30646d7\");l.VTKJSPlot=V.VTKJSPlot;var t=e(\"087f1e0be6\");l.VTKVolumePlot=t.VTKVolumePlot;var a=e(\"3ae7537200\");l.VTKAxes=a.VTKAxes;var r=e(\"4baab0b7ce\");l.VTKSynchronizedPlot=r.VTKSynchronizedPlot},\n",
       "      \"6ed30646d7\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"021b2a3929\"),a=e(\"6c442cdcb4\");class r extends s.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()})}render(){super.render(),this._create_orientation_widget(),this._set_axes()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=a.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=a.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=a.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),i=a.vtk.macro.debounce(()=>setTimeout(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this._set_camera_state(),this._get_camera_state()},100),100);n.setUrl(\"index.json\"),n.onReady(i)}})}}n.VTKJSPlotView=r,r.__name__=\"VTKJSPlotView\";class o extends s.AbstractVTKPlot{static init_VTKJSPlot(){this.prototype.default_view=r,this.define({data:[i.String],enable_keybindings:[i.Boolean,!1]})}}n.VTKJSPlot=o,o.__name__=\"VTKJSPlot\",o.init_VTKJSPlot()},\n",
       "      \"021b2a3929\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/models/layouts/html_box\"),a=e(\"@bokehjs/core/util/object\"),o=e(\"7116a7a602\"),_=e(\"6c442cdcb4\"),d=e(\"c010237f8b\"),c={padding:\"0px 2px 0px 2px\",maxHeight:\"150px\",height:\"auto\",backgroundColor:\"rgba(255, 255, 255, 0.4)\",borderRadius:\"10px\",margin:\"2px\",boxSizing:\"border-box\",overflow:\"hidden\",overflowY:\"auto\",transition:\"width 0.1s linear\",bottom:\"0px\",position:\"absolute\"};class h extends o.PanelHTMLBoxView{initialize(){super.initialize(),this._camera_callbacks=[],this._renderable=!0,this._setting_camera=!1}_add_colorbars(){const e=this.el.querySelector(\".vtk_info\");if(e&&this.el.removeChild(e),this.model.color_mappers.length<1)return;const t=document.createElement(\"div\");t.classList.add(\"vtk_info\"),_.applyStyle(t,c),_.applyStyle(t,{width:\"350px\"}),this.el.appendChild(t);const i=[];this.model.color_mappers.forEach(e=>{const n=new d.VTKColorBar(t,e);i.push(n)});const n=document.createElement(\"div\");_.applyStyle(n,{textAlign:\"center\",fontSize:\"20px\"}),n.innerText=\"...\",t.addEventListener(\"click\",()=>{\"30px\"===t.style.width?(t.removeChild(n),_.applyStyle(t,{height:\"auto\",width:\"350px\"}),i.forEach(e=>t.appendChild(e.canvas))):(i.forEach(e=>t.removeChild(e.canvas)),_.applyStyle(t,{height:\"30px\",width:\"30px\"}),t.appendChild(n))}),t.click()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.orientation_widget,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.on_change(this.model.properties.camera,()=>this._set_camera_state()),this.on_change(this.model.properties.axes,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_render()}),this.on_change(this.model.properties.color_mappers,()=>this._add_colorbars())}render(){super.render(),this._vtk_renwin&&this._vtk_container?(o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container)):(this._orientationWidget=null,this._axes=null,this._vtk_container=r.div(),this.init_vtk_renwin(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin.getInteractor().onEndAnimation(()=>this._get_camera_state()),this._remove_default_key_binding(),this._bind_key_events(),this.plot(),this._add_colorbars(),this.model.renderer_el=this._vtk_renwin)}after_layout(){super.after_layout(),this._renderable&&this._vtk_renwin.resize(),this._vtk_render()}invalidate_render(){this._unsubscribe_camera_cb(),super.invalidate_render()}remove(){this._unsubscribe_camera_cb(),window.removeEventListener(\"resize\",this._vtk_renwin.resize),this._vtk_renwin.delete(),super.remove()}get _vtk_camera_state(){const e=this._vtk_renwin.getRenderer().getActiveCamera();let t;return e&&(t=a.clone(e.get()),delete t.classHierarchy,delete t.vtkObject,delete t.vtkCamera,delete t.viewPlaneNormal,delete t.flattenedDepIds,delete t.managedInstanceId,delete t.directionOfProjection),t}get _axes_canvas(){let e=this._vtk_container.querySelector(\".axes-canvas\");return e||(e=r.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}}),e.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(e),this._vtk_renwin.setResizeCallback(()=>{if(this._axes_canvas){const e=this._vtk_container.getBoundingClientRect(),t=Math.floor(e.width*window.devicePixelRatio),i=Math.floor(e.height*window.devicePixelRatio);this._axes_canvas.setAttribute(\"width\",t.toFixed()),this._axes_canvas.setAttribute(\"height\",i.toFixed())}})),e}_bind_key_events(){this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance();this._orientationWidget=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()}),this._orientationWidget.setEnabled(!0),this._orientationWidget.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),this._orientationWidget.setViewportSize(.15),this._orientationWidget.setMinPixelSize(75),this._orientationWidget.setMaxPixelSize(300),this.model.interactive_orientation_widget&&this._make_orientation_widget_interactive(),this._orientation_widget_visibility(this.model.orientation_widget)}_make_orientation_widget_interactive(){this._widgetManager=_.vtkns.WidgetManager.newInstance(),this._widgetManager.setRenderer(this._orientationWidget.getRenderer());const e=this._orientationWidget.getActor(),t=_.vtkns.InteractiveOrientationWidget.newInstance();t.placeWidget(e.getBounds()),t.setBounds(e.getBounds()),t.setPlaceFactor(1);this._widgetManager.addWidget(t).onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._get_camera_state()})}_delete_axes(){if(this._axes){Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e])),this._axes=null;const e=this._axes_canvas.getContext(\"2d\");e&&e.clearRect(0,0,this._axes_canvas.clientWidth*window.devicePixelRatio,this._axes_canvas.clientHeight*window.devicePixelRatio)}}_get_camera_state(){this._setting_camera||(this._setting_camera=!0,this.model.camera=this._vtk_camera_state,this._setting_camera=!1)}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),null!=this._widgetManager&&(e?this._widgetManager.enablePicking():this._widgetManager.disablePicking()),this._vtk_render()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}_set_axes(){if(this.model.axes&&this._vtk_renwin.getRenderer()){const{psActor:e,axesActor:t,gridActor:i}=this.model.axes.create_axes(this._axes_canvas);this._axes={psActor:e,axesActor:t,gridActor:i},this._vtk_renwin.getRenderer().addActor(e),this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(i)}}_set_camera_state(){this._setting_camera||void 0===this._vtk_renwin.getRenderer()||(this._setting_camera=!0,this.model.camera&&JSON.stringify(this.model.camera)!=JSON.stringify(this._vtk_camera_state)&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._setting_camera=!1)}_unsubscribe_camera_cb(){this._camera_callbacks.splice(0,this._camera_callbacks.length).map(e=>e.unsubscribe())}_vtk_render(){this._renderable&&(this._orientationWidget&&this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render())}}i.AbstractVTKView=h,h.__name__=\"AbstractVTKView\";class l extends s.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({axes:[n.Instance],camera:[n.Instance],color_mappers:[n.Array,[]],orientation_widget:[n.Boolean,!1],interactive_orientation_widget:[n.Boolean,!1]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=l,l.__name__=\"AbstractVTKPlot\",l.__module__=\"panel.models.vtk\",l.init_AbstractVTKPlot()},\n",
       "      \"6c442cdcb4\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(\"@bokehjs/core/util/array\");if(n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk){n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Base64=n.vtk.Common.Core.vtkBase64,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox,n.vtkns.Camera=n.vtk.Rendering.Core.vtkCamera,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.Follower=n.vtk.Rendering.Core.vtkFollower,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.Glyph3DMapper=n.vtk.Rendering.Core.vtkGlyph3DMapper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.ImageProperty=n.vtk.Rendering.Core.vtkImageProperty,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.InteractorStyleTrackballCamera=n.vtk.Interaction.Style.vtkInteractorStyleTrackballCamera,n.vtkns.Light=n.vtk.Rendering.Core.vtkLight,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.LookupTable=n.vtk.Common.Core.vtkLookupTable,n.vtkns.macro=n.vtk.macro,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.OpenGLRenderWindow=n.vtk.Rendering.OpenGL.vtkRenderWindow,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.PolyData=n.vtk.Common.DataModel.vtkPolyData,n.vtkns.Property=n.vtk.Rendering.Core.vtkProperty,n.vtkns.Renderer=n.vtk.Rendering.Core.vtkRenderer,n.vtkns.RenderWindow=n.vtk.Rendering.Core.vtkRenderWindow,n.vtkns.RenderWindowInteractor=n.vtk.Rendering.Core.vtkRenderWindowInteractor,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.SynchronizableRenderWindow=n.vtk.Rendering.Misc.vtkSynchronizableRenderWindow,n.vtkns.ThirdParty=n.vtk.ThirdParty,n.vtkns.Texture=n.vtk.Rendering.Core.vtkTexture,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.VolumeProperty=n.vtk.Rendering.Core.vtkVolumeProperty,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager;const{vtkObjectManager:e}=n.vtkns.SynchronizableRenderWindow;e.setTypeMapping(\"vtkVolumeMapper\",n.vtkns.VolumeMapper.newInstance,e.oneTimeGenericUpdater),e.setTypeMapping(\"vtkSmartVolumeMapper\",n.vtkns.VolumeMapper.newInstance,e.oneTimeGenericUpdater),e.setTypeMapping(\"vtkFollower\",n.vtkns.Follower.newInstance,e.genericUpdater)}function o(e){const t=Math.min(Math.max(Math.round(e),0),255).toString(16);return 2==t.length?t:\"0\"+t}function a(e,t,n){return\"#\"+o(e)+o(t)+o(n)}function k(e){for(var t=new ArrayBuffer(e.length),n=new Uint8Array(t),r=0,o=e.length;r<o;r++)n[r]=e.charCodeAt(r);return t}n.applyStyle=function(e,t){Object.keys(t).forEach(n=>{e.style[n]=t[n]})},n.hexToRGB=function(e){return[parseInt(e.slice(1,3),16)/255,parseInt(e.slice(3,5),16)/255,parseInt(e.slice(5,7),16)/255]},n.rgbToHex=a,n.vtkLutToMapper=function(e){const{scale:t,nodes:o}=e.get(\"scale\",\"nodes\");if(t!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const k=o.map(e=>e.x),v=Math.min(...k),i=Math.max(...k),s=r.linspace(v,i,255),c=[0,0,0];return{low:v,high:i,palette:s.map(t=>(e.getColor(t,c),a(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(e){const t=n.vtkns.ImageData.newInstance({spacing:e.spacing});t.setDimensions(e.dims),t.setOrigin(null!=e.origin?e.origin:e.dims.map(e=>e/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[e.dtype](k(atob(e.buffer)))});return t.getPointData().setScalars(r),t},n.majorAxis=function(e,t,n){const r=[0,0,0],o=Math.abs(e[t])>Math.abs(e[n])?t:n,a=e[o]>0?1:-1;return r[o]=a,r},n.cartesian_product=function(...e){return e.reduce((e,t)=>e.flatMap(e=>t.map(t=>[].concat(e,t))))}},\n",
       "      \"c010237f8b\": function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(\"@bokehjs/models/mappers\"),h=t(\"@bokehjs/core/util/array\");class a{constructor(t,i,e={}){this.parent=t,this.mapper=i,this.options=e,e.ticksNum||(e.ticksNum=5),e.fontFamily||(e.fontFamily=\"Arial\"),e.fontSize||(e.fontSize=\"12px\"),e.ticksSize||(e.ticksSize=2),this.canvas=document.createElement(\"canvas\"),this.canvas.style.width=\"100%\",this.parent.appendChild(this.canvas),this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`,this.ctx.lineWidth=e.ticksSize,e.height||(e.height=4*(this.font_height+1)+\"px\"),this.canvas.style.height=e.height,this.draw_colorbar()}get values(){const{min:t,max:i}=this.mapper.metrics;return h.linspace(t,i,this.options.ticksNum)}get ticks(){return this.values.map(t=>t.toExponential(3))}get title(){return this.mapper.name?this.mapper.name:\"scalars\"}get font_height(){let t=0;return this.values.forEach(i=>{const{actualBoundingBoxAscent:e,actualBoundingBoxDescent:s}=this.ctx.measureText(\"\"+i),h=e+s;t<h&&(t=h)}),t}draw_colorbar(){this.canvas.width=this.canvas.clientWidth,this.canvas.height=this.canvas.clientHeight;const{palette:t}=this.mapper;this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`;const i=this.font_height;this.ctx.save();const e=document.createElement(\"canvas\"),a=t.length;e.width=a,e.height=1;const n=e.getContext(\"2d\"),c=n.getImageData(0,0,a,1),o=new s.LinearColorMapper({palette:t}).rgba_mapper.v_compute(h.range(0,t.length));c.data.set(o),n.putImageData(c,0,0),this.ctx.drawImage(e,0,2*(this.font_height+1)+1,this.canvas.width,this.canvas.height),this.ctx.restore(),this.ctx.save(),this.ctx.textAlign=\"center\",this.ctx.fillText(this.title,this.canvas.width/2,i+1),this.ctx.restore(),this.ctx.save();const r=h.linspace(0,this.canvas.width,5);r.forEach((t,e)=>{let s=t;0==e?(s=t+Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"left\"):e==r.length-1?(s=t-Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"right\"):this.ctx.textAlign=\"center\",this.ctx.moveTo(s,2*(i+1)),this.ctx.lineTo(s,2*(i+1)+5),this.ctx.stroke(),this.ctx.fillText(\"\"+this.ticks[e],t,2*(i+1))}),this.ctx.restore()}}e.VTKColorBar=a,a.__name__=\"VTKColorBar\"},\n",
       "      \"087f1e0be6\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),n=e(\"021b2a3929\"),r=e(\"6c442cdcb4\");class o extends n.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this._vtk_image_data=r.data2VTKImageData(this.model.data),this.invalidate_render()}),this.connect(this.model.properties.colormap.change,()=>{this.colormap_selector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_selector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{void 0!==this.image_actor_i&&(this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render())}),this.connect(this.model.properties.slice_j.change,()=>{void 0!==this.image_actor_j&&(this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render())}),this.connect(this.model.properties.slice_k.change,()=>{void 0!==this.image_actor_k&&(this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render())}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...r.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.controller_expanded.change,()=>{null!=this._controllerWidget&&this._controllerWidget.setExpanded(this.model.controller_expanded)})}render(){this._vtk_renwin=null,this._orientationWidget=null,this._axes=null,super.render(),this._create_orientation_widget(),this._set_axes(),this.model.camera?this._set_camera_state():this._vtk_renwin.getRenderer().resetCamera(),this._get_camera_state()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=r.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){this._controllerWidget=r.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._plot_volume(),this._plot_slices(),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),this.volume,!0),this._controllerWidget.setContainer(this.el),this._controllerWidget.setExpanded(this.model.controller_expanded),this._connect_js_controls(),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...r.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._set_camera_state()}get vtk_image_data(){return this._vtk_image_data||(this._vtk_image_data=r.data2VTKImageData(this.model.data)),this._vtk_image_data}get volume(){return this._vtk_renwin.getRenderer().getVolumes()[0]}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_selector(){return this.el.querySelector(\".js-color-preset\")}_connect_js_controls(){const{el:e}=this._controllerWidget.get(\"el\");if(void 0!==e){e.querySelector(\".js-button\").addEventListener(\"click\",()=>this.model.controller_expanded=this._controllerWidget.getExpanded())}this.colormap_selector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_selector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_selector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_slices(){const e=this._vtk_image_data,t=r.vtkns.ImageSlice.newInstance(),i=r.vtkns.ImageSlice.newInstance(),s=r.vtkns.ImageSlice.newInstance(),n=r.vtkns.ImageMapper.newInstance(),o=r.vtkns.ImageMapper.newInstance(),a=r.vtkns.ImageMapper.newInstance();n.setInputData(e),n.setISlice(this.model.slice_i),t.setMapper(n),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=r.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const d=this.volume.getProperty().getRGBTransferFunction(0),c=t.getProperty();i.setProperty(c),s.setProperty(c),c.setRGBTransferFunction(d),c.setScalarOpacity(l);const _=this._vtk_renwin.getRenderer();_.addActor(t),_.addActor(i),_.addActor(s)}_plot_volume(){const e=this.vtk_image_data,t=r.vtkns.Volume.newInstance(),i=r.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),n=r.vtkns.ColorTransferFunction.newInstance();n.onModified(()=>this.model.mapper=r.vtkLutToMapper(n));const o=r.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,n),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,r.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t)}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}_set_volume_visibility(e){this.volume.setVisibility(e)}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends n.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({ambient:[s.Number,.2],colormap:[s.String],data:[s.Instance],diffuse:[s.Number,.7],display_slices:[s.Boolean,!1],display_volume:[s.Boolean,!0],edge_gradient:[s.Number,.2],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance],render_background:[s.String,\"#52576e\"],rescale:[s.Boolean,!1],sampling:[s.Number,.4],shadow:[s.Boolean,!0],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],specular:[s.Number,.3],specular_power:[s.Number,8],controller_expanded:[s.Boolean,!0]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n",
       "      \"3ae7537200\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),n=t(\"@bokehjs/model\"),a=t(\"2f3fd5db07\"),c=t(\"6c442cdcb4\");class r extends n.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[e.Array],xticker:[e.Instance],yticker:[e.Instance],zticker:[e.Instance],digits:[e.Number,1],show_grid:[e.Boolean,!0],grid_opacity:[e.Number,.1],axes_opacity:[e.Number,1],fontsize:[e.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(c.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(c.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(c.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=c.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=c.vtkns.Mapper.newInstance(),a=c.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=c.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=c.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=c.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=c.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=c.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,n)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();a.mat4.transpose(l,l);const o=i.getProjectionMatrix(n,-1,1);a.mat4.transpose(o,o),c.clearRect(0,0,r.width,r.height),s.forEach((t,s)=>{const i=h.getPoint(s),e=a.vec3.fromValues(i[0],i[1],i[2]);if(a.vec3.transformMat4(e,e,l),e[2]+=.05,a.vec3.transformMat4(e,e,o),e[2]-.001<t[3]){let i;c.font=\"30px serif\",c.textAlign=\"center\",c.textBaseline=\"alphabetic\",c.fillText(\".\",t[0],r.height-t[1]+2),c.font=this.fontsize*window.devicePixelRatio+\"px serif\",c.textAlign=\"right\",c.textBaseline=\"top\",i=s<this.xticks.length?this.xlabels[s]:s>=this.xticks.length&&s<this.xticks.length+this.yticks.length?this.ylabels[s-this.xticks.length]:this.zlabels[s-(this.xticks.length+this.yticks.length)],c.fillText(\"\"+i,t[0],r.height-t[1])}})}});const n=c.vtkns.Actor.newInstance();n.setMapper(e);const r=c.vtkns.Mapper.newInstance();r.setInputData(i);const h=c.vtkns.Actor.newInstance();h.setMapper(r),h.getProperty().setOpacity(this.axes_opacity);return{psActor:n,axesActor:h,gridActor:this._create_grid_axes()}}}i.VTKAxes=r,r.__name__=\"VTKAxes\",r.__module__=\"panel.models.vtk\",r.init_VTKAxes()},\n",
       "      \"2f3fd5db07\": function _(t,c,a){Object.defineProperty(a,\"__esModule\",{value:!0});const o=t(\"tslib\"),r=o.__importStar(t(\"68ca94c15c\"));a.glMatrix=r;const _=o.__importStar(t(\"7c0b8e6048\"));a.mat2=_;const e=o.__importStar(t(\"dc03f0a621\"));a.mat2d=e;const i=o.__importStar(t(\"0285c50a7e\"));a.mat3=i;const m=o.__importStar(t(\"a427635f32\"));a.mat4=m;const n=o.__importStar(t(\"eb06fc032a\"));a.quat=n;const s=o.__importStar(t(\"277615c682\"));a.quat2=s;const p=o.__importStar(t(\"c56d9ff837\"));a.vec2=p;const S=o.__importStar(t(\"2c5eb22089\"));a.vec3=S;const f=o.__importStar(t(\"c1aa33d719\"));a.vec4=f},\n",
       "      \"68ca94c15c\": function _(t,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.EPSILON=1e-6,r.ARRAY_TYPE=\"undefined\"!=typeof Float32Array?Float32Array:Array,r.RANDOM=Math.random,r.setMatrixArrayType=function(t){r.ARRAY_TYPE=t};var n=Math.PI/180;r.toRadian=function(t){return t*n},r.equals=function(t,a){return Math.abs(t-a)<=r.EPSILON*Math.max(1,Math.abs(t),Math.abs(a))},Math.hypot||(Math.hypot=function(){for(var t=0,a=arguments.length;a--;)t+=arguments[a]*arguments[a];return Math.sqrt(t)})},\n",
       "      \"7c0b8e6048\": function _(t,n,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1],f=r[2],s=r[3];return t[0]=a*c+e*i,t[1]=u*c+o*i,t[2]=a*f+e*s,t[3]=u*f+o*s,t}function e(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t[3]=n[3]-r[3],t}r.create=function(){var t=new a.ARRAY_TYPE(4);return a.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},r.clone=function(t){var n=new a.ARRAY_TYPE(4);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.transpose=function(t,n){if(t===n){var r=n[1];t[1]=n[2],t[2]=r}else t[0]=n[0],t[1]=n[2],t[2]=n[1],t[3]=n[3];return t},r.invert=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*e-u*a;return o?(o=1/o,t[0]=e*o,t[1]=-a*o,t[2]=-u*o,t[3]=r*o,t):null},r.adjoint=function(t,n){var r=n[0];return t[0]=n[3],t[1]=-n[1],t[2]=-n[2],t[3]=r,t},r.determinant=function(t){return t[0]*t[3]-t[2]*t[1]},r.multiply=u,r.rotate=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=Math.sin(r),i=Math.cos(r);return t[0]=a*i+e*c,t[1]=u*i+o*c,t[2]=a*-c+e*i,t[3]=u*-c+o*i,t},r.scale=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3],c=r[0],i=r[1];return t[0]=a*c,t[1]=u*c,t[2]=e*i,t[3]=o*i,t},r.fromRotation=function(t,n){var r=Math.sin(n),a=Math.cos(n);return t[0]=a,t[1]=r,t[2]=-r,t[3]=a,t},r.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t},r.str=function(t){return\"mat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3])},r.LDU=function(t,n,r,a){return t[2]=a[2]/a[0],r[0]=a[0],r[1]=a[1],r[3]=a[3]-t[2]*r[1],[t,n,r]},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=e,r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=t[3],c=n[0],i=n[1],f=n[2],s=n[3];return Math.abs(r-c)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(c))&&Math.abs(u-i)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(i))&&Math.abs(e-f)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(f))&&Math.abs(o-s)<=a.EPSILON*Math.max(1,Math.abs(o),Math.abs(s))},r.multiplyScalar=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.multiplyScalarAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.mul=u,r.sub=e},\n",
       "      \"dc03f0a621\": function _(t,n,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,n,a){var r=n[0],u=n[1],e=n[2],o=n[3],c=n[4],i=n[5],s=a[0],f=a[1],h=a[2],M=a[3],b=a[4],l=a[5];return t[0]=r*s+e*f,t[1]=u*s+o*f,t[2]=r*h+e*M,t[3]=u*h+o*M,t[4]=r*b+e*l+c,t[5]=u*b+o*l+i,t}function e(t,n,a){return t[0]=n[0]-a[0],t[1]=n[1]-a[1],t[2]=n[2]-a[2],t[3]=n[3]-a[3],t[4]=n[4]-a[4],t[5]=n[5]-a[5],t}a.create=function(){var t=new r.ARRAY_TYPE(6);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[4]=0,t[5]=0),t[0]=1,t[3]=1,t},a.clone=function(t){var n=new r.ARRAY_TYPE(6);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n[4]=t[4],n[5]=t[5],n},a.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t},a.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t[4]=0,t[5]=0,t},a.fromValues=function(t,n,a,u,e,o){var c=new r.ARRAY_TYPE(6);return c[0]=t,c[1]=n,c[2]=a,c[3]=u,c[4]=e,c[5]=o,c},a.set=function(t,n,a,r,u,e,o){return t[0]=n,t[1]=a,t[2]=r,t[3]=u,t[4]=e,t[5]=o,t},a.invert=function(t,n){var a=n[0],r=n[1],u=n[2],e=n[3],o=n[4],c=n[5],i=a*e-r*u;return i?(i=1/i,t[0]=e*i,t[1]=-r*i,t[2]=-u*i,t[3]=a*i,t[4]=(u*c-e*o)*i,t[5]=(r*o-a*c)*i,t):null},a.determinant=function(t){return t[0]*t[3]-t[1]*t[2]},a.multiply=u,a.rotate=function(t,n,a){var r=n[0],u=n[1],e=n[2],o=n[3],c=n[4],i=n[5],s=Math.sin(a),f=Math.cos(a);return t[0]=r*f+e*s,t[1]=u*f+o*s,t[2]=r*-s+e*f,t[3]=u*-s+o*f,t[4]=c,t[5]=i,t},a.scale=function(t,n,a){var r=n[0],u=n[1],e=n[2],o=n[3],c=n[4],i=n[5],s=a[0],f=a[1];return t[0]=r*s,t[1]=u*s,t[2]=e*f,t[3]=o*f,t[4]=c,t[5]=i,t},a.translate=function(t,n,a){var r=n[0],u=n[1],e=n[2],o=n[3],c=n[4],i=n[5],s=a[0],f=a[1];return t[0]=r,t[1]=u,t[2]=e,t[3]=o,t[4]=r*s+e*f+c,t[5]=u*s+o*f+i,t},a.fromRotation=function(t,n){var a=Math.sin(n),r=Math.cos(n);return t[0]=r,t[1]=a,t[2]=-a,t[3]=r,t[4]=0,t[5]=0,t},a.fromScaling=function(t,n){return t[0]=n[0],t[1]=0,t[2]=0,t[3]=n[1],t[4]=0,t[5]=0,t},a.fromTranslation=function(t,n){return t[0]=1,t[1]=0,t[2]=0,t[3]=1,t[4]=n[0],t[5]=n[1],t},a.str=function(t){return\"mat2d(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\")\"},a.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],1)},a.add=function(t,n,a){return t[0]=n[0]+a[0],t[1]=n[1]+a[1],t[2]=n[2]+a[2],t[3]=n[3]+a[3],t[4]=n[4]+a[4],t[5]=n[5]+a[5],t},a.subtract=e,a.multiplyScalar=function(t,n,a){return t[0]=n[0]*a,t[1]=n[1]*a,t[2]=n[2]*a,t[3]=n[3]*a,t[4]=n[4]*a,t[5]=n[5]*a,t},a.multiplyScalarAndAdd=function(t,n,a,r){return t[0]=n[0]+a[0]*r,t[1]=n[1]+a[1]*r,t[2]=n[2]+a[2]*r,t[3]=n[3]+a[3]*r,t[4]=n[4]+a[4]*r,t[5]=n[5]+a[5]*r,t},a.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]&&t[4]===n[4]&&t[5]===n[5]},a.equals=function(t,n){var a=t[0],u=t[1],e=t[2],o=t[3],c=t[4],i=t[5],s=n[0],f=n[1],h=n[2],M=n[3],b=n[4],l=n[5];return Math.abs(a-s)<=r.EPSILON*Math.max(1,Math.abs(a),Math.abs(s))&&Math.abs(u-f)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(f))&&Math.abs(e-h)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(h))&&Math.abs(o-M)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(M))&&Math.abs(c-b)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(i-l)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(l))},a.mul=u,a.sub=e},\n",
       "      \"0285c50a7e\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1],l=n[2],m=n[3],v=n[4],E=n[5],P=n[6],S=n[7],d=n[8];return t[0]=f*r+b*e+l*s,t[1]=f*u+b*i+l*M,t[2]=f*o+b*c+l*h,t[3]=m*r+v*e+E*s,t[4]=m*u+v*i+E*M,t[5]=m*o+v*c+E*h,t[6]=P*r+S*e+d*s,t[7]=P*u+S*i+d*M,t[8]=P*o+S*c+d*h,t}function o(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t}n.create=function(){var t=new r.ARRAY_TYPE(9);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},n.fromMat4=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[4],t[4]=a[5],t[5]=a[6],t[6]=a[8],t[7]=a[9],t[8]=a[10],t},n.clone=function(t){var a=new r.ARRAY_TYPE(9);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromValues=function(t,a,n,u,o,e,i,c,s){var M=new r.ARRAY_TYPE(9);return M[0]=t,M[1]=a,M[2]=n,M[3]=u,M[4]=o,M[5]=e,M[6]=i,M[7]=c,M[8]=s,M},n.set=function(t,a,n,r,u,o,e,i,c,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=u,t[4]=o,t[5]=e,t[6]=i,t[7]=c,t[8]=s,t},n.identity=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],u=a[5];t[1]=a[3],t[2]=a[6],t[3]=n,t[5]=a[7],t[6]=r,t[7]=u}else t[0]=a[0],t[1]=a[3],t[2]=a[6],t[3]=a[1],t[4]=a[4],t[5]=a[7],t[6]=a[2],t[7]=a[5],t[8]=a[8];return t},n.invert=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=M*e-i*s,f=-M*o+i*c,b=s*o-e*c,l=n*h+r*f+u*b;return l?(l=1/l,t[0]=h*l,t[1]=(-M*r+u*s)*l,t[2]=(i*r-u*e)*l,t[3]=f*l,t[4]=(M*n-u*c)*l,t[5]=(-i*n+u*o)*l,t[6]=b*l,t[7]=(-s*n+r*c)*l,t[8]=(e*n-r*o)*l,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8];return t[0]=e*M-i*s,t[1]=u*s-r*M,t[2]=r*i-u*e,t[3]=i*c-o*M,t[4]=n*M-u*c,t[5]=u*o-n*i,t[6]=o*s-e*c,t[7]=r*c-n*s,t[8]=n*e-r*o,t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],u=t[3],o=t[4],e=t[5],i=t[6],c=t[7],s=t[8];return a*(s*o-e*c)+n*(-s*u+e*i)+r*(c*u-o*i)},n.multiply=u,n.translate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=n[0],b=n[1];return t[0]=r,t[1]=u,t[2]=o,t[3]=e,t[4]=i,t[5]=c,t[6]=f*r+b*e+s,t[7]=f*u+b*i+M,t[8]=f*o+b*c+h,t},n.rotate=function(t,a,n){var r=a[0],u=a[1],o=a[2],e=a[3],i=a[4],c=a[5],s=a[6],M=a[7],h=a[8],f=Math.sin(n),b=Math.cos(n);return t[0]=b*r+f*e,t[1]=b*u+f*i,t[2]=b*o+f*c,t[3]=b*e-f*r,t[4]=b*i-f*u,t[5]=b*c-f*o,t[6]=s,t[7]=M,t[8]=h,t},n.scale=function(t,a,n){var r=n[0],u=n[1];return t[0]=r*a[0],t[1]=r*a[1],t[2]=r*a[2],t[3]=u*a[3],t[4]=u*a[4],t[5]=u*a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n",
       "      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var 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o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=e,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],h=t[1],o=t[2],u=t[3],M=t[4],e=t[5],s=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],v=t[12],m=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],p=a[3],L=a[4],N=a[5],R=a[6],x=a[7],y=a[8],A=a[9],Y=a[10],d=a[11],g=a[12],T=a[13],_=a[14],q=a[15];return 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       "      \"c1aa33d719\": function _(t,n,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function u(){var t=new a.ARRAY_TYPE(4);return a.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0,t[3]=0),t}function e(t,n,r){return t[0]=n[0]-r[0],t[1]=n[1]-r[1],t[2]=n[2]-r[2],t[3]=n[3]-r[3],t}function o(t,n,r){return t[0]=n[0]*r[0],t[1]=n[1]*r[1],t[2]=n[2]*r[2],t[3]=n[3]*r[3],t}function i(t,n,r){return t[0]=n[0]/r[0],t[1]=n[1]/r[1],t[2]=n[2]/r[2],t[3]=n[3]/r[3],t}function c(t,n){var r=n[0]-t[0],a=n[1]-t[1],u=n[2]-t[2],e=n[3]-t[3];return Math.hypot(r,a,u,e)}function h(t,n){var r=n[0]-t[0],a=n[1]-t[1],u=n[2]-t[2],e=n[3]-t[3];return r*r+a*a+u*u+e*e}function M(t){var n=t[0],r=t[1],a=t[2],u=t[3];return Math.hypot(n,r,a,u)}function f(t){var n=t[0],r=t[1],a=t[2],u=t[3];return n*n+r*r+a*a+u*u}var s;r.create=u,r.clone=function(t){var n=new a.ARRAY_TYPE(4);return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n},r.fromValues=function(t,n,r,u){var e=new a.ARRAY_TYPE(4);return e[0]=t,e[1]=n,e[2]=r,e[3]=u,e},r.copy=function(t,n){return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t},r.set=function(t,n,r,a,u){return t[0]=n,t[1]=r,t[2]=a,t[3]=u,t},r.add=function(t,n,r){return t[0]=n[0]+r[0],t[1]=n[1]+r[1],t[2]=n[2]+r[2],t[3]=n[3]+r[3],t},r.subtract=e,r.multiply=o,r.divide=i,r.ceil=function(t,n){return t[0]=Math.ceil(n[0]),t[1]=Math.ceil(n[1]),t[2]=Math.ceil(n[2]),t[3]=Math.ceil(n[3]),t},r.floor=function(t,n){return t[0]=Math.floor(n[0]),t[1]=Math.floor(n[1]),t[2]=Math.floor(n[2]),t[3]=Math.floor(n[3]),t},r.min=function(t,n,r){return t[0]=Math.min(n[0],r[0]),t[1]=Math.min(n[1],r[1]),t[2]=Math.min(n[2],r[2]),t[3]=Math.min(n[3],r[3]),t},r.max=function(t,n,r){return t[0]=Math.max(n[0],r[0]),t[1]=Math.max(n[1],r[1]),t[2]=Math.max(n[2],r[2]),t[3]=Math.max(n[3],r[3]),t},r.round=function(t,n){return t[0]=Math.round(n[0]),t[1]=Math.round(n[1]),t[2]=Math.round(n[2]),t[3]=Math.round(n[3]),t},r.scale=function(t,n,r){return t[0]=n[0]*r,t[1]=n[1]*r,t[2]=n[2]*r,t[3]=n[3]*r,t},r.scaleAndAdd=function(t,n,r,a){return t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.distance=c,r.squaredDistance=h,r.length=M,r.squaredLength=f,r.negate=function(t,n){return t[0]=-n[0],t[1]=-n[1],t[2]=-n[2],t[3]=-n[3],t},r.inverse=function(t,n){return t[0]=1/n[0],t[1]=1/n[1],t[2]=1/n[2],t[3]=1/n[3],t},r.normalize=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*r+a*a+u*u+e*e;return o>0&&(o=1/Math.sqrt(o)),t[0]=r*o,t[1]=a*o,t[2]=u*o,t[3]=e*o,t},r.dot=function(t,n){return t[0]*n[0]+t[1]*n[1]+t[2]*n[2]+t[3]*n[3]},r.cross=function(t,n,r,a){var u=r[0]*a[1]-r[1]*a[0],e=r[0]*a[2]-r[2]*a[0],o=r[0]*a[3]-r[3]*a[0],i=r[1]*a[2]-r[2]*a[1],c=r[1]*a[3]-r[3]*a[1],h=r[2]*a[3]-r[3]*a[2],M=n[0],f=n[1],s=n[2],l=n[3];return t[0]=f*h-s*c+l*i,t[1]=-M*h+s*o-l*e,t[2]=M*c-f*o+l*u,t[3]=-M*i+f*e-s*u,t},r.lerp=function(t,n,r,a){var u=n[0],e=n[1],o=n[2],i=n[3];return t[0]=u+a*(r[0]-u),t[1]=e+a*(r[1]-e),t[2]=o+a*(r[2]-o),t[3]=i+a*(r[3]-i),t},r.random=function(t,n){var r,u,e,o,i,c;n=n||1;do{i=(r=2*a.RANDOM()-1)*r+(u=2*a.RANDOM()-1)*u}while(i>=1);do{c=(e=2*a.RANDOM()-1)*e+(o=2*a.RANDOM()-1)*o}while(c>=1);var h=Math.sqrt((1-i)/c);return t[0]=n*r,t[1]=n*u,t[2]=n*e*h,t[3]=n*o*h,t},r.transformMat4=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3];return t[0]=r[0]*a+r[4]*u+r[8]*e+r[12]*o,t[1]=r[1]*a+r[5]*u+r[9]*e+r[13]*o,t[2]=r[2]*a+r[6]*u+r[10]*e+r[14]*o,t[3]=r[3]*a+r[7]*u+r[11]*e+r[15]*o,t},r.transformQuat=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=r[0],i=r[1],c=r[2],h=r[3],M=h*a+i*e-c*u,f=h*u+c*a-o*e,s=h*e+o*u-i*a,l=-o*a-i*u-c*e;return t[0]=M*h+l*-o+f*-c-s*-i,t[1]=f*h+l*-i+s*-o-M*-c,t[2]=s*h+l*-c+M*-i-f*-o,t[3]=n[3],t},r.zero=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=0,t},r.str=function(t){return\"vec4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=t[3],i=n[0],c=n[1],h=n[2],M=n[3];return Math.abs(r-i)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(i))&&Math.abs(u-c)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(c))&&Math.abs(e-h)<=a.EPSILON*Math.max(1,Math.abs(e),Math.abs(h))&&Math.abs(o-M)<=a.EPSILON*Math.max(1,Math.abs(o),Math.abs(M))},r.sub=e,r.mul=o,r.div=i,r.dist=c,r.sqrDist=h,r.len=M,r.sqrLen=f,r.forEach=(s=u(),function(t,n,r,a,u,e){var o,i;for(n||(n=4),r||(r=0),i=a?Math.min(a*n+r,t.length):t.length,o=r;o<i;o+=n)s[0]=t[o],s[1]=t[o+1],s[2]=t[o+2],s[3]=t[o+3],u(s,s,e),t[o]=s[0],t[o+1]=s[1],t[o+2]=s[2],t[o+3]=s[3];return t})},\n",
       "      \"277615c682\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\"),e=r.__importStar(t(\"68ca94c15c\")),u=r.__importStar(t(\"eb06fc032a\")),o=r.__importStar(t(\"a427635f32\"));function i(t,a,n){var r=.5*n[0],e=.5*n[1],u=.5*n[2],o=a[0],i=a[1],s=a[2],c=a[3];return t[0]=o,t[1]=i,t[2]=s,t[3]=c,t[4]=r*c+e*s-u*i,t[5]=e*c+u*o-r*s,t[6]=u*c+r*i-e*o,t[7]=-r*o-e*i-u*s,t}function s(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t}function c(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[4],s=n[5],c=n[6],h=n[7],f=a[4],M=a[5],l=a[6],b=a[7],v=n[0],m=n[1],R=n[2],P=n[3];return t[0]=r*P+o*v+e*R-u*m,t[1]=e*P+o*m+u*v-r*R,t[2]=u*P+o*R+r*m-e*v,t[3]=o*P-r*v-e*m-u*R,t[4]=r*h+o*i+e*c-u*s+f*P+b*v+M*R-l*m,t[5]=e*h+o*s+u*i-r*c+M*P+b*m+l*v-f*R,t[6]=u*h+o*c+r*s-e*i+l*P+b*R+f*m-M*v,t[7]=o*h-r*i-e*s-u*c+b*P-f*v-M*m-l*R,t}n.create=function(){var t=new e.ARRAY_TYPE(8);return e.ARRAY_TYPE!=Float32Array&&(t[0]=0,t[1]=0,t[2]=0,t[4]=0,t[5]=0,t[6]=0,t[7]=0),t[3]=1,t},n.clone=function(t){var a=new e.ARRAY_TYPE(8);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a},n.fromValues=function(t,a,n,r,u,o,i,s){var c=new e.ARRAY_TYPE(8);return c[0]=t,c[1]=a,c[2]=n,c[3]=r,c[4]=u,c[5]=o,c[6]=i,c[7]=s,c},n.fromRotationTranslationValues=function(t,a,n,r,u,o,i){var s=new e.ARRAY_TYPE(8);s[0]=t,s[1]=a,s[2]=n,s[3]=r;var c=.5*u,h=.5*o,f=.5*i;return s[4]=c*r+h*n-f*a,s[5]=h*r+f*t-c*n,s[6]=f*r+c*a-h*t,s[7]=-c*t-h*a-f*n,s},n.fromRotationTranslation=i,n.fromTranslation=function(t,a){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t[4]=.5*a[0],t[5]=.5*a[1],t[6]=.5*a[2],t[7]=0,t},n.fromRotation=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=0,t[5]=0,t[6]=0,t[7]=0,t},n.fromMat4=function(t,a){var n=u.create();o.getRotation(n,a);var r=new e.ARRAY_TYPE(3);return o.getTranslation(r,a),i(t,n,r),t},n.copy=s,n.identity=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=1,t[4]=0,t[5]=0,t[6]=0,t[7]=0,t},n.set=function(t,a,n,r,e,u,o,i,s){return t[0]=a,t[1]=n,t[2]=r,t[3]=e,t[4]=u,t[5]=o,t[6]=i,t[7]=s,t},n.getReal=u.copy,n.getDual=function(t,a){return t[0]=a[4],t[1]=a[5],t[2]=a[6],t[3]=a[7],t},n.setReal=u.copy,n.setDual=function(t,a){return t[4]=a[0],t[5]=a[1],t[6]=a[2],t[7]=a[3],t},n.getTranslation=function(t,a){var n=a[4],r=a[5],e=a[6],u=a[7],o=-a[0],i=-a[1],s=-a[2],c=a[3];return t[0]=2*(n*c+u*o+r*s-e*i),t[1]=2*(r*c+u*i+e*o-n*s),t[2]=2*(e*c+u*s+n*i-r*o),t},n.translate=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=.5*n[0],s=.5*n[1],c=.5*n[2],h=a[4],f=a[5],M=a[6],l=a[7];return t[0]=r,t[1]=e,t[2]=u,t[3]=o,t[4]=o*i+e*c-u*s+h,t[5]=o*s+u*i-r*c+f,t[6]=o*c+r*s-e*i+M,t[7]=-r*i-e*s-u*c+l,t},n.rotateX=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateX(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateY=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateY(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateZ=function(t,a,n){var r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateZ(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<e.EPSILON)return s(t,a);var u=Math.hypot(n[0],n[1],n[2]);r*=.5;var o=Math.sin(r),i=o*n[0]/u,c=o*n[1]/u,h=o*n[2]/u,f=Math.cos(r),M=a[0],l=a[1],b=a[2],v=a[3];t[0]=M*f+v*i+l*h-b*c,t[1]=l*f+v*c+b*i-M*h,t[2]=b*f+v*h+M*c-l*i,t[3]=v*f-M*i-l*c-b*h;var m=a[4],R=a[5],P=a[6],d=a[7];return t[4]=m*f+d*i+R*h-P*c,t[5]=R*f+d*c+P*i-m*h,t[6]=P*f+d*h+m*c-R*i,t[7]=d*f-m*i-R*c-P*h,t},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t},n.multiply=c,n.mul=c,n.scale=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t},n.dot=u.dot,n.lerp=function(t,a,r,e){var u=1-e;return n.dot(a,r)<0&&(e=-e),t[0]=a[0]*u+r[0]*e,t[1]=a[1]*u+r[1]*e,t[2]=a[2]*u+r[2]*e,t[3]=a[3]*u+r[3]*e,t[4]=a[4]*u+r[4]*e,t[5]=a[5]*u+r[5]*e,t[6]=a[6]*u+r[6]*e,t[7]=a[7]*u+r[7]*e,t},n.invert=function(t,a){var r=n.squaredLength(a);return t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=u.length,n.len=n.length,n.squaredLength=u.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=n.squaredLength(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],o=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],l=a[2],b=a[3],v=a[4],m=a[5],R=a[6],P=a[7];return Math.abs(n-f)<=e.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(r-M)<=e.EPSILON*Math.max(1,Math.abs(r),Math.abs(M))&&Math.abs(u-l)<=e.EPSILON*Math.max(1,Math.abs(u),Math.abs(l))&&Math.abs(o-b)<=e.EPSILON*Math.max(1,Math.abs(o),Math.abs(b))&&Math.abs(i-v)<=e.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(s-m)<=e.EPSILON*Math.max(1,Math.abs(s),Math.abs(m))&&Math.abs(c-R)<=e.EPSILON*Math.max(1,Math.abs(c),Math.abs(R))&&Math.abs(h-P)<=e.EPSILON*Math.max(1,Math.abs(h),Math.abs(P))}},\n",
       "      \"c56d9ff837\": function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=n(\"tslib\").__importStar(n(\"68ca94c15c\"));function u(){var n=new a.ARRAY_TYPE(2);return a.ARRAY_TYPE!=Float32Array&&(n[0]=0,n[1]=0),n}function e(n,t,r){return n[0]=t[0]-r[0],n[1]=t[1]-r[1],n}function o(n,t,r){return n[0]=t[0]*r[0],n[1]=t[1]*r[1],n}function c(n,t,r){return n[0]=t[0]/r[0],n[1]=t[1]/r[1],n}function i(n,t){var r=t[0]-n[0],a=t[1]-n[1];return Math.hypot(r,a)}function f(n,t){var r=t[0]-n[0],a=t[1]-n[1];return r*r+a*a}function s(n){var t=n[0],r=n[1];return Math.hypot(t,r)}function h(n){var t=n[0],r=n[1];return t*t+r*r}var M;r.create=u,r.clone=function(n){var t=new a.ARRAY_TYPE(2);return t[0]=n[0],t[1]=n[1],t},r.fromValues=function(n,t){var r=new a.ARRAY_TYPE(2);return r[0]=n,r[1]=t,r},r.copy=function(n,t){return n[0]=t[0],n[1]=t[1],n},r.set=function(n,t,r){return n[0]=t,n[1]=r,n},r.add=function(n,t,r){return n[0]=t[0]+r[0],n[1]=t[1]+r[1],n},r.subtract=e,r.multiply=o,r.divide=c,r.ceil=function(n,t){return n[0]=Math.ceil(t[0]),n[1]=Math.ceil(t[1]),n},r.floor=function(n,t){return n[0]=Math.floor(t[0]),n[1]=Math.floor(t[1]),n},r.min=function(n,t,r){return n[0]=Math.min(t[0],r[0]),n[1]=Math.min(t[1],r[1]),n},r.max=function(n,t,r){return n[0]=Math.max(t[0],r[0]),n[1]=Math.max(t[1],r[1]),n},r.round=function(n,t){return n[0]=Math.round(t[0]),n[1]=Math.round(t[1]),n},r.scale=function(n,t,r){return n[0]=t[0]*r,n[1]=t[1]*r,n},r.scaleAndAdd=function(n,t,r,a){return n[0]=t[0]+r[0]*a,n[1]=t[1]+r[1]*a,n},r.distance=i,r.squaredDistance=f,r.length=s,r.squaredLength=h,r.negate=function(n,t){return n[0]=-t[0],n[1]=-t[1],n},r.inverse=function(n,t){return n[0]=1/t[0],n[1]=1/t[1],n},r.normalize=function(n,t){var r=t[0],a=t[1],u=r*r+a*a;return u>0&&(u=1/Math.sqrt(u)),n[0]=t[0]*u,n[1]=t[1]*u,n},r.dot=function(n,t){return n[0]*t[0]+n[1]*t[1]},r.cross=function(n,t,r){var a=t[0]*r[1]-t[1]*r[0];return n[0]=n[1]=0,n[2]=a,n},r.lerp=function(n,t,r,a){var u=t[0],e=t[1];return n[0]=u+a*(r[0]-u),n[1]=e+a*(r[1]-e),n},r.random=function(n,t){t=t||1;var r=2*a.RANDOM()*Math.PI;return n[0]=Math.cos(r)*t,n[1]=Math.sin(r)*t,n},r.transformMat2=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u,n[1]=r[1]*a+r[3]*u,n},r.transformMat2d=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[2]*u+r[4],n[1]=r[1]*a+r[3]*u+r[5],n},r.transformMat3=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[3]*u+r[6],n[1]=r[1]*a+r[4]*u+r[7],n},r.transformMat4=function(n,t,r){var a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],u=n[1],e=t[0],o=t[1];return Math.abs(r-e)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(e))&&Math.abs(u-o)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(o))},r.len=s,r.sub=e,r.mul=o,r.div=c,r.dist=i,r.sqrDist=f,r.sqrLen=h,r.forEach=(M=u(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)M[0]=n[o],M[1]=n[o+1],u(M,M,e),n[o]=M[0],n[o+1]=M[1];return n})},\n",
       "      \"4baab0b7ce\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/util/object\"),i=e(\"021b2a3929\"),o=e(\"6c442cdcb4\"),_=e(\"11e0707a8f\");class a extends i.AbstractVTKView{initialize(){super.initialize(),this._promises=[],this._renderable=!1,this._arrays={},this._decoded_arrays={},this._pending_arrays={},this.getArray=e=>this._arrays[e]?Promise.resolve(this._arrays[e]):new Promise((t,n)=>{this._pending_arrays[e]={resolve:t,reject:n}}),this.registerArray=(e,t)=>(this._arrays[e]=t,this._pending_arrays[e]&&this._pending_arrays[e].resolve(t),!0),this._synchronizer_context=o.vtkns.SynchronizableRenderWindow.getSynchronizerContext(\"panel\")}connect_signals(){super.connect_signals(),this.connect(this.model.properties.arrays.change,()=>this._decode_arrays()),this.connect(this.model.properties.scene.change,()=>{if(this.model.rebuild)this._vtk_renwin=null,this.invalidate_render();else{const e=r.clone(this.model.scene);Promise.all(this._promises).then(()=>{this._sync_plot(e,()=>{this._on_scene_ready()})})}}),this.connect(this.model.properties.one_time_reset.change,()=>{this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters()})}init_vtk_renwin(){this._vtk_renwin=_.FullScreenRenderWindowSynchronized.newInstance({rootContainer:this.el,container:this._vtk_container,synchronizerContext:this._synchronizer_context})}plot(){this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters(),this._decode_arrays();const e=r.clone(this.model.scene);Promise.all(this._promises).then(()=>{this._sync_plot(e,()=>this._on_scene_ready()).then(()=>{this._set_camera_state(),this._get_camera_state()})})}_decode_arrays(){const e=new o.vtkns.ThirdParty.JSZip,t=this.model.arrays,n=this.registerArray,s=this.model.arrays_processed,r=this.model;Object.keys(t).forEach(i=>{this._decoded_arrays[i]||(this._decoded_arrays[i]=!0,this._promises.push(function(i){return e.loadAsync(atob(t[i])).then(e=>e.file(\"data/\"+i)).then(e=>e.async(\"arraybuffer\")).then(e=>n(i,e)).then(()=>{s.push(i),r.properties.arrays_processed.change.emit()})}(i)))})}_on_scene_ready(){this._promises.length>0||(this._renderable=!0,this._camera_callbacks.push(this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._vtk_render())),this._orientationWidget||this._create_orientation_widget(),this._axes||this._set_axes(),this._vtk_renwin.resize(),this._vtk_render())}_sync_plot(e,t){this._renderable=!1,this._promises=[],this._unsubscribe_camera_cb(),this._synchronizer_context.setFetchArrayFunction(e=>Promise.resolve(this._arrays[e]));const n=this._synchronizer_context.getInstance(this.model.scene.dependencies[0].id);return n&&!this._vtk_renwin.getRenderer()&&this._vtk_renwin.getRenderWindow().addRenderer(n),this._vtk_renwin.getRenderWindow().synchronize(e).then(t)}}n.VTKSynchronizedPlotView=a,a.__name__=\"VTKSynchronizedPlotView\";class h extends i.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}getActors(e){let t=this.renderer_el.getRenderer().getActors();if(e){const n=this.renderer_el.getSynchronizerContext(\"panel\");t=t.filter(t=>{const s=n.getInstanceId(t);return!!s&&s.slice(-16)==e.slice(1,17)})}return t}static init_VTKSynchronizedPlot(){this.prototype.default_view=a,this.define({arrays:[s.Any,{}],arrays_processed:[s.Array,[]],enable_keybindings:[s.Boolean,!1],one_time_reset:[s.Boolean],rebuild:[s.Boolean,!1],scene:[s.Any,{}]}),this.override({height:300,width:300})}}n.VTKSynchronizedPlot=h,h.__name__=\"VTKSynchronizedPlot\",h.__module__=\"panel.models.vtk\",h.init_VTKSynchronizedPlot()},\n",
       "      \"11e0707a8f\": function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(\"6c442cdcb4\");if(t.vtk){const e={containerStyle:null,controlPanelStyle:null,listenWindowResize:!0,resizeCallback:null,controllerVisibility:!0,synchronizerContextName:\"default\"},n={position:\"absolute\",left:\"25px\",top:\"25px\",backgroundColor:\"white\",borderRadius:\"5px\",listStyle:\"none\",padding:\"5px 10px\",margin:\"0\",display:\"block\",border:\"solid 1px black\",maxWidth:\"calc(100vw - 70px)\",maxHeight:\"calc(100vh - 60px)\",overflow:\"auto\"};o.FullScreenRenderWindowSynchronized={newInstance:t.vtk.macro.newInstance((o,r,i={})=>{Object.assign(r,e,i),t.vtk.macro.obj(o,r),t.vtk.macro.get(o,r,[\"renderWindow\",\"openGLRenderWindow\",\"interactor\",\"rootContainer\",\"container\",\"controlContainer\",\"synchronizerContext\"]),function(e,o){o.renderWindow=t.vtkns.SynchronizableRenderWindow.newInstance({synchronizerContext:o.synchronizerContext}),o.openGLRenderWindow=t.vtkns.OpenGLRenderWindow.newInstance(),o.openGLRenderWindow.setContainer(o.container),o.renderWindow.addView(o.openGLRenderWindow),o.interactor=t.vtkns.RenderWindowInteractor.newInstance(),o.interactor.setInteractorStyle(t.vtkns.InteractorStyleTrackballCamera.newInstance()),o.interactor.setView(o.openGLRenderWindow),o.interactor.initialize(),o.interactor.bindEvents(o.container),e.getRenderer=()=>o.renderWindow.getRenderers()[0],e.removeController=()=>{const e=o.controlContainer;e&&e.parentNode.removeChild(e)},e.setControllerVisibility=e=>{o.controllerVisibility=e,o.controlContainer&&(o.controlContainer.style.display=e?\"block\":\"none\")},e.toggleControllerVisibility=()=>{e.setControllerVisibility(!o.controllerVisibility)},e.addController=r=>{o.controlContainer=document.createElement(\"div\"),t.applyStyle(o.controlContainer,o.controlPanelStyle||n),o.rootContainer.appendChild(o.controlContainer),o.controlContainer.innerHTML=r,e.setControllerVisibility(o.controllerVisibility),o.rootContainer.addEventListener(\"keypress\",n=>{\"c\"===String.fromCharCode(n.charCode)&&e.toggleControllerVisibility()})},e.delete=t.vtk.macro.chain(e.setContainer,o.openGLRenderWindow.delete,e.delete),e.resize=()=>{const e=o.container.getBoundingClientRect(),n=window.devicePixelRatio||1;o.openGLRenderWindow.setSize(Math.floor(e.width*n),Math.floor(e.height*n)),o.resizeCallback&&o.resizeCallback(e),o.renderWindow.render()},e.setResizeCallback=n=>{o.resizeCallback=n,e.resize()},o.listenWindowResize&&window.addEventListener(\"resize\",e.resize),e.resize()}(o,r)})}}},\n",
       "      }, \"4e90918c0a\", {\"index\":\"4e90918c0a\",\"models/index\":\"c4b9651916\",\"models/ace\":\"abb1112c2c\",\"models/layout\":\"7116a7a602\",\"models/audio\":\"66d52165db\",\"models/card\":\"d9037fe5f1\",\"models/comm_manager\":\"684c940c17\",\"models/deckgl\":\"d0d2aafca0\",\"models/tooltips\":\"064eac2866\",\"models/echarts\":\"c6decbe3f5\",\"models/html\":\"ed08037ce5\",\"models/ipywidget\":\"cb7ac8d1fa\",\"models/json\":\"284504a0cf\",\"models/file_download\":\"2caf092f2b\",\"models/katex\":\"7b859fb3cf\",\"models/location\":\"aded270681\",\"models/mathjax\":\"0c21036737\",\"models/player\":\"79c41bbf71\",\"models/plotly\":\"47b5ae5c43\",\"models/util\":\"990b5dd5c7\",\"models/progress\":\"765e9cea08\",\"models/singleselect\":\"ff9dd91f7b\",\"models/state\":\"38b2bc9574\",\"models/vega\":\"294adeb985\",\"models/video\":\"b0c3e9e9c2\",\"models/videostream\":\"3c7145a2fa\",\"models/vtk/index\":\"c51f25e2a7\",\"models/vtk/vtkjs\":\"6ed30646d7\",\"models/vtk/vtklayout\":\"021b2a3929\",\"models/vtk/util\":\"6c442cdcb4\",\"models/vtk/vtkcolorbar\":\"c010237f8b\",\"models/vtk/vtkvolume\":\"087f1e0be6\",\"models/vtk/vtkaxes\":\"3ae7537200\",\"models/vtk/vtksynchronized\":\"4baab0b7ce\",\"models/vtk/panel_fullscreen_renwin_sync\":\"11e0707a8f\"}, {});\n",
       "      })\n",
       "\n",
       "\n",
       "      /* END panel.min.js */\n",
       "    },\n",
       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      require([], function() {\n      })\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) { on_load(); continue; }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n\tif (!js_urls.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [];\n  var css_urls = [];\n\n  var inline_js = [\n    function(Bokeh) {\n      inject_raw_css(\".bk.alert {\\n    padding: 0.75rem 1.25rem;\\n    border: 1px solid transparent;\\n    border-radius: 0.25rem;\\n    /* Don't set margin because that will not render correctly! */\\n    /* margin-bottom: 1rem; */\\n    margin-top: 15px;\\n    margin-bottom: 15px;\\n}\\n.bk.alert a {\\n    color: rgb(11, 46, 19); /* #002752; */\\n    font-weight: 700;\\n    text-decoration: rgb(11, 46, 19);\\n    text-decoration-color: rgb(11, 46, 19);\\n    text-decoration-line: none;\\n    text-decoration-style: solid;\\n    text-decoration-thickness: auto;\\n  }\\n.bk.alert a:hover {\\n    color: rgb(11, 46, 19);\\n    font-weight: 700;\\n    text-decoration: underline;\\n}\\n\\n.bk.alert-primary {\\n    color: #004085;\\n    background-color: #cce5ff;\\n    border-color: #b8daff;\\n}\\n.bk.alert-primary hr {\\n    border-top-color: #9fcdff;\\n}\\n\\n.bk.alert-secondary {\\n    color: #383d41;\\n    background-color: #e2e3e5;\\n    border-color: #d6d8db;\\n  }\\n.bk.alert-secondary hr {\\n    border-top-color: #c8cbcf;\\n}\\n\\n.bk.alert-success {\\n    color: #155724;\\n    background-color: #d4edda;\\n    border-color: #c3e6cb;\\n  }\\n\\n.bk.alert-success hr {\\n    border-top-color: #b1dfbb;\\n}\\n\\n.bk.alert-info {\\n    color: #0c5460;\\n    background-color: #d1ecf1;\\n    border-color: #bee5eb;\\n  }\\n.bk.alert-info hr {\\n    border-top-color: #abdde5;\\n}\\n\\n.bk.alert-warning {\\n    color: #856404;\\n    background-color: #fff3cd;\\n    border-color: #ffeeba;\\n  }\\n\\n.bk.alert-warning hr {\\n    border-top-color: #ffe8a1;\\n}\\n\\n.bk.alert-danger {\\n    color: #721c24;\\n    background-color: #f8d7da;\\n    border-color: #f5c6cb;\\n}\\n.bk.alert-danger hr {\\n    border-top-color: #f1b0b7;\\n}\\n\\n.bk.alert-light {\\n    color: #818182;\\n    background-color: #fefefe;\\n    border-color: #fdfdfe;\\n  }\\n.bk.alert-light hr {\\n    border-top-color: #ececf6;\\n}\\n\\n.bk.alert-dark {\\n    color: #1b1e21;\\n    background-color: #d6d8d9;\\n    border-color: #c6c8ca;\\n  }\\n.bk.alert-dark hr {\\n    border-top-color: #b9bbbe;\\n}\\n\\n\\n/* adjf\\u00e6l */\\n\\n.bk.alert-primary a {\\n    color: #002752;\\n}\\n\\n.bk.alert-secondary a {\\n    color: #202326;\\n}\\n\\n\\n.bk.alert-success a {\\n    color: #0b2e13;\\n}\\n\\n\\n.bk.alert-info a {\\n    color: #062c33;\\n}\\n\\n\\n.bk.alert-warning a {\\n    color: #533f03;\\n}\\n\\n\\n.bk.alert-danger a {\\n    color: #491217;\\n}\\n\\n.bk.alert-light a {\\n    color: #686868;\\n}\\n\\n.bk.alert-dark a {\\n    color: #040505;\\n}\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".bk.card {\\n  border: 1px solid rgba(0,0,0,.125);\\n  border-radius: 0.25rem;\\n}\\n.bk.accordion {\\n  border: 1px solid rgba(0,0,0,.125);\\n}\\n.bk.card-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0.25rem;\\n  display: flex;\\n  justify-content: space-between;\\n  padding: 0 1.25rem 0 0;\\n  width: 100%;\\n}\\n.bk.accordion-header {\\n  align-items: center;\\n  background-color: rgba(0, 0, 0, 0.03);\\n  border-radius: 0;\\n  display: flex;\\n  justify-content: space-between;\\n  padding: 0 1.25rem 0 0;\\n  width: 100%;\\n}\\np.bk.card-button {\\n  background-color: transparent;\\n  font-size: 1.25rem;\\n  font-weight: 700;\\n  margin: 0;\\n  margin-left: -15px;\\n}\\n.bk.card-header-row {\\n  position: relative !important;\\n}\\n.bk.card-title {\\n  align-items: center;\\n  display: flex !important;\\n  font-size: 1.4em;\\n  font-weight: bold;\\n  padding: 0.25em;\\n  position: relative !important;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\"table.panel-df {\\n    margin-left: auto;\\n    margin-right: auto;\\n    border: none;\\n    border-collapse: collapse;\\n    border-spacing: 0;\\n    color: black;\\n    font-size: 12px;\\n    table-layout: fixed;\\n    width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n    text-align: right;\\n    vertical-align: middle;\\n    padding: 0.5em 0.5em !important;\\n    line-height: normal;\\n    white-space: normal;\\n    max-width: none;\\n    border: none;\\n}\\n\\n.panel-df tbody {\\n    display: table-row-group;\\n    vertical-align: middle;\\n    border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n    background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n    border-bottom: 1px solid black;\\n    vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n    background: lightblue !important;\\n    cursor: pointer;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n  color: black;\\n  text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n  color: green;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n  color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n  color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n  color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n  color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n  background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: blue;\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n  color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n  color: #00008B;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n  font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n  color: white;\\n  text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n  opacity: 0.5;\\n  margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n  content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n  content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n  color: #31F031;\\n  white-space: pre;\\n  word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n  color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n  color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n  color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n  color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n  color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n  background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n  text-decoration: underline;\\n  color: #027BFF;\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n  color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n  color: #23A0DB;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n  cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n  line-height: 1.2rem;\\n  font-size: 0.7rem;\\n  vertical-align: middle;\\n  opacity: 0.6;\\n  cursor: pointer;\\n  padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n  display: inline-block;\\n  transition: transform 100ms ease-in;\\n  content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n  opacity: 0;\\n  transition: opacity 0.15s ease-in;\\n  font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n  opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n  transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n  display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n  display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n  display: block;\\n}\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite  { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n    },\n    function(Bokeh) {\n      inject_raw_css(\".bk.panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n  overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { 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    * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        const bokeh = factory();\n        bokeh.__bokeh__ = true;\n        if (typeof root.Bokeh === \"undefined\" || typeof root.Bokeh.__bokeh__ === \"undefined\") {\n          root.Bokeh = bokeh;\n        }\n        const Bokeh = root.Bokeh;\n        Bokeh[bokeh.version] = bokeh;\n      })(this, function() {\n        var define;\n        var parent_require = typeof require === \"function\" && require\n        return (function(modules, entry, aliases, externals) {\n          if (aliases === undefined) aliases = {};\n          if (externals === undefined) externals = {};\n\n          var cache = {};\n\n          var normalize = function(name) {\n            if (typeof name === \"number\")\n              return name;\n\n            if (name === \"bokehjs\")\n              return entry;\n\n            var prefix = \"@bokehjs/\"\n            if (name.slice(0, prefix.length) === prefix)\n              name = name.slice(prefix.length)\n\n            var alias = aliases[name]\n            if (alias != null)\n              return alias;\n\n            var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n            var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n            if (index != null)\n              return index;\n\n            return name;\n          }\n\n          var require = function(name) {\n            var mod = cache[name];\n            if (!mod) {\n              var id = normalize(name);\n\n              mod = cache[id];\n              if (!mod) {\n                if (!modules[id]) {\n                  if (externals[id] === false || (externals[id] == true && parent_require)) {\n                    try {\n                      mod = {exports: externals[id] ? parent_require(id) : {}};\n                      cache[id] = cache[name] = mod;\n                      return mod.exports;\n                    } catch (e) {}\n                  }\n\n                  var err = new Error(\"Cannot find module '\" + name + \"'\");\n                  err.code = 'MODULE_NOT_FOUND';\n                  throw err;\n                }\n\n                mod = {exports: {}};\n                cache[id] = cache[name] = mod;\n                modules[id].call(mod.exports, require, mod, mod.exports);\n              } else\n                cache[name] = mod;\n            }\n\n            return mod.exports;\n          }\n          require.resolve = function(name) {\n            return \"\"\n          }\n\n          var main = require(entry);\n          main.require = require;\n\n          if (typeof Proxy !== \"undefined\") {\n            // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n            main.loader = new Proxy({}, {\n              get: function(_obj, module) {\n                return require(module);\n              }\n            });\n          }\n\n          main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n            if (plugin_aliases === undefined) plugin_aliases = {};\n            if (plugin_externals === undefined) plugin_externals = {};\n\n            for (var name in plugin_modules) {\n              modules[name] = plugin_modules[name];\n            }\n\n            for (var name in plugin_aliases) {\n              aliases[name] = plugin_aliases[name];\n            }\n\n            for (var name in plugin_externals) {\n              externals[name] = plugin_externals[name];\n            }\n\n            var plugin = require(plugin_entry);\n\n            for (var name in plugin) {\n              main[name] = plugin[name];\n            }\n\n            return plugin;\n          }\n\n          return main;\n        })\n      ([\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});e(1).__exportStar(e(2),_)},\n      function _(t,e,n){\n      /*! *****************************************************************************\n          Copyright (c) Microsoft Corporation.\n          \n          Permission to use, copy, modify, and/or distribute this software for any\n          purpose with or without fee is hereby granted.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\n          REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\n          AND FITNESS. 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f=e(388);t.embed_items_notebook=f.embed_items_notebook,t.kernels=f.kernels;var g=e(382);async function O(e,o,t,c){_.isString(e)&&(e=JSON.parse(r.unescape(e)));const l={};for(const[o,t]of d.entries(e))l[o]=n.Document.from_json(t);const m=[];for(const e of o){const o=u._resolve_element(e),n=u._resolve_root_elements(e);if(null!=e.docid)m.push(await i.add_document_standalone(l[e.docid],o,n,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const r=a._get_ws_url(t,c);s.logger.debug(\"embed: computed ws url: \"+r);try{m.push(await a.add_document_from_session(r,e.token,o,n,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return m}t.BOKEH_ROOT=g.BOKEH_ROOT,t.embed_item=async function(e,o){const t={},n=r.uuid4();t[n]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(u.BOKEH_ROOT);const d={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:n},[_]=await c.defer(()=>O(t,[d]));return _},t.embed_items=async function(e,o,t,n){return await c.defer(()=>O(e,o,t,n))}},\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(121),_)},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(7),r=e(3),i=e(19),_=e(313),a=e(14),l=e(15),c=e(17),h=e(31),d=e(9),f=e(13),u=o.__importStar(e(120)),m=e(25),g=e(8),p=e(272),w=e(85),v=e(81),b=e(121);class y{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new b.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=y,y.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class j{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new y(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof p.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.event_manager.send_event(new _.DocumentReady),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(){null!=this._interactive_plot&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=u.union(e,t.references());const t=new Set(this._all_models.values()),s=u.difference(t,e),o=u.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(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 b.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new b.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new b.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof v.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof b.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new b.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const o=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(n.Models(t))(o)}static _instantiate_references_json(e,t){const s=new Map;for(const o of e){const e=o.id,n=o.type,r=o.attributes||{};let i=t.get(e);null==i&&(i=j._instantiate_object(e,n,r),null!=o.subtype&&i.set_subtype(o.subtype)),s.set(i.id,i)}return s}static _resolve_refs(e,t,s,o){function n(e){if(c.is_ref(e)){if(t.has(e.id))return 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_event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(j._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(j._event_for_attribute_change(e,n,i,s,o)):m.isEqual(r,i)||c.push(j._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=j._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:j._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:j._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return j.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=j._instantiate_references_json(a,new Map);j._initialize_references_json(a,new Map,l,new Map);const c=new j;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){j.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:j._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=j._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);j._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=j._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=j._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=j._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof w.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof w.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=j,j.__name__=\"Document\"},\n      function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13),i=e(14);s.overrides={};const l=new Map;s.Models=e=>{const r=s.overrides[e]||l.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. 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e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return s(t)(e,...n)},n.div=s(\"div\"),n.span=s(\"span\"),n.canvas=s(\"canvas\"),n.link=s(\"link\"),n.style=s(\"style\"),n.a=s(\"a\"),n.p=s(\"p\"),n.i=s(\"i\"),n.pre=s(\"pre\"),n.button=s(\"button\"),n.label=s(\"label\"),n.input=s(\"input\"),n.select=s(\"select\"),n.option=s(\"option\"),n.optgroup=s(\"optgroup\"),n.textarea=s(\"textarea\"),n.nbsp=function(){return document.createTextNode(\" \")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=l,n.removeElement=l,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=r,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e&&t instanceof Element)for(const e of 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p(t,{},e)},n.sized=p;class g{constructor(t){this.root=t,this.known=new Set,this.style=n.style({type:\"text/css\"}),r(t,this.style)}append(t){this.known.has(t)||(this.style.appendChild(document.createTextNode(t)),this.known.add(t))}}n.StyleSheet=g,g.__name__=\"StyleSheet\",n.stylesheet=new g(document.head)},\n      function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.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: 13px;\\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\"},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),l=s.__importStar(e(28)),c=s.__importStar(e(18)),i=e(22),o=e(8),r=e(75),h=e(77);function n(e,t){const[a,s,l,c]=o.isString(e)?i.color2rgba(e):i.decode_rgba(e);return`rgba(${255*a}, ${255*s}, ${255*l}, ${1==c?t:c})`}function _(e,t,a){e.moveTo(0,a+.5),e.lineTo(t,a+.5),e.stroke()}function u(e,t,a){e.moveTo(a+.5,0),e.lineTo(a+.5,t),e.stroke()}function v(e,t){e.moveTo(0,t),e.lineTo(t,0),e.stroke(),e.moveTo(0,0),e.lineTo(t,t),e.stroke()}a.hatch_aliases={\" \":\"blank\",\".\":\"dot\",o:\"ring\",\"-\":\"horizontal_line\",\"|\":\"vertical_line\",\"+\":\"cross\",'\"':\"horizontal_dash\",\":\":\"vertical_dash\",\"@\":\"spiral\",\"/\":\"right_diagonal_line\",\"\\\\\":\"left_diagonal_line\",x:\"diagonal_cross\",\",\":\"right_diagonal_dash\",\"`\":\"left_diagonal_dash\",v:\"horizontal_wave\",\">\":\"vertical_wave\",\"*\":\"criss_cross\"};class p{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e,t){for(const a of this.attrs){const s=this.obj.properties[this.prefix+a];if(void 0!==s.spec.value)this.cache[a]=s.spec.value;else{if(!(null!=e&&s instanceof c.VectorSpec))throw new Error(\"source is required with a vectorized visual property\");{const l=s.array(e),c=null!=t?t.select(l):l;this.cache[a+\"_array\"]=c}}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}get_array(e){return this.cache[e+\"_array\"]}set_vectorize(e,t){this._set_vectorize(e,t)}}a.ContextProperties=p,p.__name__=\"ContextProperties\";class f extends p{set_value(e){const t=this.line_color.value(),a=this.line_alpha.value();e.strokeStyle=n(t,a),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.lineDash=this.line_dash.value(),e.lineDashOffset=this.line_dash_offset.value()}get 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s=.1*a,l=h+t*s*Math.cos(s),c=h+t*s*Math.sin(s);e.lineTo(l,c)}e.stroke();break}case\"right_diagonal_line\":e.moveTo(.5-p,r),e.lineTo(p+.5,0),e.stroke(),e.moveTo(p+.5,r),e.lineTo(3*p+.5,0),e.stroke(),e.moveTo(3*p+.5,r),e.lineTo(5*p+.5,0),e.stroke(),e.stroke();break;case\"left_diagonal_line\":e.moveTo(p+.5,r),e.lineTo(.5-p,0),e.stroke(),e.moveTo(3*p+.5,r),e.lineTo(p+.5,0),e.stroke(),e.moveTo(5*p+.5,r),e.lineTo(3*p+.5,0),e.stroke(),e.stroke();break;case\"diagonal_cross\":v(e,r);break;case\"right_diagonal_dash\":e.moveTo(p+.5,3*p+.5),e.lineTo(3*p+.5,p+.5),e.stroke();break;case\"left_diagonal_dash\":e.moveTo(p+.5,p+.5),e.lineTo(3*p+.5,3*p+.5),e.stroke();break;case\"horizontal_wave\":e.moveTo(0,p),e.lineTo(h,3*p),e.lineTo(r,p),e.stroke();break;case\"vertical_wave\":e.moveTo(p,0),e.lineTo(3*p,h),e.lineTo(p,r),e.stroke();break;case\"criss_cross\":v(e,r),_(e,r,h),u(e,r,h)}}(p.ctx,c,e,s,l,i),t.createPattern(p.canvas,\"repeat\")}}else s=super.cache_select(e,t);return s}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t);null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e)}color_value(){return n(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=k,k.__name__=\"Hatch\",k.prototype.attrs=Object.keys(l.HatchVector);class x extends p{color_value(){return n(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){const t=this.text_color.value(),a=this.text_alpha.value();e.fillStyle=n(t,a),e.font=this.font_value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){const a=this.cache_select(\"text_color\",t),s=this.cache_select(\"text_alpha\",t),l=this.cache_select(\"font\",t),c=this.cache_select(\"text_align\",t),i=this.cache_select(\"text_baseline\",t);e.fillStyle=n(a,s),e.font=l,e.textAlign=c,e.textBaseline=i}}a.Text=x,x.__name__=\"Text\",x.prototype.attrs=Object.keys(l.TextVector);class b{constructor(e){for(const t of 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HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),i.appendChild(e),this.__defs.appendChild(i)}else if(t instanceof p){for(const e of[...t.__root.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}else{if(!(t instanceof SVGSVGElement))throw new Error(\"unsupported\");for(const e of[...t.childNodes])e instanceof SVGDefsElement||i.appendChild(e);this.__defs.appendChild(i)}return new u(i,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}_to_number(t){return n.isNumber(t)?t:t.baseVal.value}}i.SVGRenderingContext2D=p,p.__name__=\"SVGRenderingContext2D\"},\n      function _(t,s,r){Object.defineProperty(r,\"__esModule\",{value:!0});const{sin:e,cos:n}=Math;class i{constructor(t=1,s=0,r=0,e=1,n=0,i=0){this.a=t,this.b=s,this.c=r,this.d=e,this.e=n,this.f=i}toString(){const{a:t,b:s,c:r,d:e,e:n,f:i}=this;return`matrix(${t}, ${s}, ${r}, ${e}, ${n}, 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this.scale(-1,1)}}r.AffineTransform=i,i.__name__=\"AffineTransform\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(14),n=e(78),l=e(19),o=s.__importStar(e(18)),r=e(72),h=e(13),c=e(79),_=e(80),d=e(75),p=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void l.logger.trace(\"WebGL is not supported\")})(),v={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class b{constructor(e,t){switch(this.backend=e,this.hidpi=t,this.pixel_ratio=1,this.bbox=new c.BBox,e){case\"webgl\":case\"canvas\":{this._el=this._canvas=r.canvas({style:v});const e=this.canvas.getContext(\"2d\");if(null==e)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=e,t&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const e=new d.SVGRenderingContext2D;this._ctx=e,this._canvas=e.get_svg(),this._el=r.div({style:v},this._canvas);break}}_.fixup_ctx(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t});const i=this._ctx instanceof d.SVGRenderingContext2D?this._ctx:this.canvas;i.width=e*this.pixel_ratio,i.height=t*this.pixel_ratio}prepare(){const{ctx:e,hidpi:t,pixel_ratio:i}=this;e.save(),t&&(e.scale(i,i),e.translate(.5,.5)),this.clear()}clear(){const{x:e,y:t,width:i,height:s}=this.bbox;this.ctx.clearRect(e,t,i,s)}finish(){this.ctx.restore()}to_blob(){const{_canvas:e}=this;if(e instanceof HTMLCanvasElement)return null!=e.msToBlob?Promise.resolve(e.msToBlob()):new Promise((t,i)=>{e.toBlob(e=>null!=e?t(e):i(),\"image/png\")});{const e=this._ctx.get_serialized_svg(!0),t=new Blob([e],{type:\"image/svg+xml\"});return Promise.resolve(t)}}}i.CanvasLayer=b,b.__name__=\"CanvasLayer\";class g extends n.DOMView{constructor(){super(...arguments),this.bbox=new c.BBox}initialize(){super.initialize();const{output_backend:e,hidpi:t}=this.model;\"webgl\"==e&&(this.webgl=p),this.underlays_el=r.div({style:v}),this.primary=new b(e,t),this.overlays=new b(e,t),this.overlays_el=r.div({style:v}),this.events_el=r.div({class:\"bk-canvas-events\",style:v});const i=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];h.extend(this.el.style,v),r.append(this.el,...i),l.logger.debug(\"CanvasView initialized\")}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const{gl:a}=t;a.enable(a.SCISSOR_TEST);const[n,l,o,r]=e,{xview:h,yview:c}=this.bbox,_=h.compute(n),d=c.compute(l+r),p=this.pixel_ratio;a.scissor(p*_,p*d,p*o,p*r),a.enable(a.BLEND),a.blendFuncSeparate(a.SRC_ALPHA,a.ONE_MINUS_SRC_ALPHA,a.ONE_MINUS_DST_ALPHA,a.ONE)}}clear_webgl(){const{webgl:e}=this;if(null!=e){const{gl:t,canvas:i}=e;t.viewport(0,0,i.width,i.height),t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT||t.DEPTH_BUFFER_BIT)}}blit_webgl(e){const{webgl:t}=this;if(null!=t&&(l.logger.debug(\"Blitting WebGL canvas\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi)){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}}compose(){const{output_backend:e,hidpi:t}=this.model,{width:i,height:s}=this.bbox,a=new b(e,t);return a.resize(i,s),a.ctx.drawImage(this.primary.canvas,0,0),a.ctx.drawImage(this.overlays.canvas,0,0),a}to_blob(){return this.compose().to_blob()}}i.CanvasView=g,g.__name__=\"CanvasView\";class x extends a.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=g,this.internal({hidpi:[o.Boolean,!0],output_backend:[o.OutputBackend,\"canvas\"]})}}i.Canvas=x,x.__name__=\"Canvas\",x.init_Canvas()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(71),r=e(72);class n extends i.View{initialize(){super.initialize(),this.el=this._createElement()}remove(){r.remove(this.el),super.remove()}css_classes(){return[]}render(){}renderTo(e){e.appendChild(this.el),this.render()}_createElement(){return r.createElement(this.tagName,{class:this.css_classes()})}}t.DOMView=n,n.__name__=\"DOMView\",n.prototype.tagName=\"div\"},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const h=t(24),{min:r,max:s}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:r(t.x0,i.x0),x1:s(t.x1,i.x1),y0:r(t.y0,i.y0),y1:s(t.y1,i.y1)}};class n{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}relativize(){const{width:t,height:i}=this;return new n({x:0,y:0,width:t,height:i})}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return t<this.x0?t=this.x0:t>this.x1&&(t=this.x1),i<this.y0?i=this.y0:i>this.y1&&(i=this.y1),[t,i]}union(t){return new n({x0:r(this.x0,t.x0),y0:r(this.y0,t.y0),x1:s(this.x1,t.x1),y1:s(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new h.NumberArray(t.length),e=this.left;for(let h=0;h<t.length;h++)i[h]=e+t[h];return i}}}get yview(){return{compute:t=>this.bottom-t,v_compute:t=>{const i=new h.NumberArray(t.length),e=this.bottom;for(let h=0;h<t.length;h++)i[h]=e-t[h];return i}}}}e.BBox=n,n.__name__=\"BBox\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.fixup_ctx=function(e){!function(e){void 0===e.lineDash&&Object.defineProperty(e,\"lineDash\",{get:()=>e.getLineDash(),set:t=>e.setLineDash(t)})}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.measureText&&null==e.html5MeasureText&&(e.html5MeasureText=e.measureText,e.measureText=t=>{const n=e.html5MeasureText(t);return n.ascent=1.6*e.html5MeasureText(\"m\").width,n})}(e),function(e){e.ellipse||(e.ellipse=function(t,n,o,a,i,l,m,r=!1){const u=.551784;e.translate(t,n),e.rotate(i);let s=o,g=a;r&&(s=-o,g=-a),e.moveTo(-s,0),e.bezierCurveTo(-s,g*u,-s*u,g,0,g),e.bezierCurveTo(s*u,g,s,g*u,s,0),e.bezierCurveTo(s,-g*u,s*u,-g,0,-g),e.bezierCurveTo(-s*u,-g,-s,-g*u,-s,0),e.rotate(-i),e.translate(-t,-n)})}(e)}},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(14),i=n.__importStar(e(18)),a=e(8),r=e(13),o=e(19);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n      function _(e,s,_){Object.defineProperty(_,\"__esModule\",{value:!0});class t{constructor(e,s){this.x_scale=e,this.y_scale=s,this.x_range=this.x_scale.source_range,this.y_range=this.y_scale.source_range,this.ranges=[this.x_range,this.y_range],this.scales=[this.x_scale,this.y_scale]}map_to_screen(e,s){return[this.x_scale.v_compute(e),this.y_scale.v_compute(s)]}map_from_screen(e,s){return[this.x_scale.v_invert(e),this.y_scale.v_invert(s)]}}_.CoordinateTransform=t,t.__name__=\"CoordinateTransform\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(36),o=t(84),r=t(85),n=t(28),_=i.__importStar(t(18)),h=t(10);class c extends a.AnnotationView{initialize(){super.initialize(),null==this.model.source&&(this.model.source=new r.ColumnDataSource),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=this.coordinates.x_scale.v_compute(this._x_start),s=this.coordinates.y_scale.v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=this.coordinates.x_scale.v_compute(this._x_end),a=this.coordinates.y_scale.v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}_render(){const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:o,height:r}=this.plot_view.frame.bbox;t.rect(i,a,o,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let o=0,r=this._x_start.length;o<r;o++){const r=Math.PI/2+h.atan2([i[0][o],i[1][o]],[a[0][o],a[1][o]]);t.save(),t.translate(a[0][o],a[1][o]),t.rotate(r),\"render\"==e?s.render(t,o):\"clip\"==e&&s.clip(t,o),t.restore()}}_arrow_body(t,e,s){if(this.visuals.line.doit)for(let i=0,a=this._x_start.length;i<a;i++)this.visuals.line.set_vectorize(t,i),t.beginPath(),t.moveTo(e[0][i],e[1][i]),t.lineTo(s[0][i],s[1][i]),t.stroke()}}s.ArrowView=c,c.__name__=\"ArrowView\";class d extends a.Annotation{constructor(t){super(t)}static init_Arrow(){this.prototype.default_view=c,this.mixins(n.LineVector),this.define({x_start:[_.NumberSpec],y_start:[_.NumberSpec],start_units:[_.SpatialUnits,\"data\"],start:[_.Instance,null],x_end:[_.NumberSpec],y_end:[_.NumberSpec],end_units:[_.SpatialUnits,\"data\"],end:[_.Instance,()=>new o.OpenHead({})],source:[_.Instance]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(36),l=i(74),n=i(28),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n      function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(86),r=s.__importStar(t(18)),i=t(8),l=t(13),a=s.__importStar(t(119)),c=t(120),u=t(121);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.length<e?(i=new t.constructor(e),i.set(t,0)):i=t;for(let t=o,n=r;t<n;t++)i[t-o]=i[t];for(let t=0,e=n.length;t<e;t++)i[t+(r-o)]=n[t];return i}{const e=new t.constructor(n);return a.concat(t,e)}}throw new Error(\"unsupported array types\")}function d(t,n){let e,s,o;return i.isNumber(t)?(e=t,o=t+1,s=1):(e=null!=t.start?t.start:0,o=null!=t.stop?t.stop:n,s=null!=t.step?t.step:1),[e,o,s]}function f(t,n){const e=new Set;let s=!1;for(const[o,r]of n){let n,l,a,c;if(i.isArray(o)){const[s]=o;e.add(s),n=t[s].shape,l=t[s],c=r,2===o.length?(n=[1,n[0]],a=[o[0],0,o[1]]):a=o}else i.isNumber(o)?(c=[r],e.add(o)):(c=r,s=!0),a=[0,0,o],n=[1,t.length],l=t;let u=0;const[h,f,m]=d(a[1],n[0]),[_,p,g]=d(a[2],n[1]);for(let t=h;t<f;t+=m)for(let o=_;o<p;o+=g)s&&e.add(o),l[t*n[1]+o]=c[u],u++}return e}e.stream_to_column=h,e.slice=d,e.patch_to_column=f;class m extends o.ColumnarDataSource{constructor(t){super(t)}static init_ColumnDataSource(){this.define({data:[r.Any,{}]})}stream(t,n,e){const{data:s}=this;for(const[e,o]of l.entries(t))s[e]=h(s[e],o,n);if(this.setv({data:s},{silent:!0}),this.streaming.emit(),null!=this.document){const s=new u.ColumnsStreamedEvent(this.document,this.ref(),t,n);this.document._notify_change(this,\"data\",null,null,{setter_id:e,hint:s})}}patch(t,n){const{data:e}=this;let s=new Set;for(const[n,o]of l.entries(t))s=c.union(s,f(e[n],o));if(this.setv({data:e},{silent:!0}),this.patching.emit([...s]),null!=this.document){const e=new u.ColumnsPatchedEvent(this.document,this.ref(),t);this.document._notify_change(this,\"data\",null,null,{setter_id:n,hint:e})}}}e.ColumnDataSource=m,m.__name__=\"ColumnDataSource\",m.init_ColumnDataSource()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(1),s=t(87),i=t(15),r=t(19),l=t(89),c=a.__importStar(t(18)),o=t(8),u=t(9),h=t(13),g=t(88),_=t(118);class d extends s.DataSource{constructor(t){super(t)}get_array(t){let e=this.data[t];return null==e?this.data[t]=e=[]:o.isArray(e)||(this.data[t]=e=Array.from(e)),e}static init_ColumnarDataSource(){this.define({selection_policy:[c.Instance,()=>new _.UnionRenderers]}),this.internal({selection_manager:[c.Instance,t=>new l.SelectionManager({source:t})],inspected:[c.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const e=this.data[t];return null!=e?e:null}columns(){return h.keys(this.data)}get_length(t=!0){const e=u.uniq(h.values(this.data).map(t=>t.length));switch(e.length){case 0:return null;case 1:return e[0];default:{const n=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(n),e.sort()[0];throw new Error(n)}}}get length(){var t;return null!==(t=this.get_length())&&void 0!==t?t:0}clear(){const t={};for(const e of this.columns())t[e]=new this.data[e].constructor(0);this.data=t}}n.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(81),o=e(88),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(81),l=t.__importStar(i(18)),c=i(9),h=i(13);class d extends n.Model{constructor(i){super(i)}get_view(){return this.view}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize()}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.view=i.view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.view=null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.view=i.view,this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=d,d.__name__=\"Selection\",d.init_Selection()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(14),o=e(88),c=e(90),r=e(116),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(91),n=e(92),h=e(110),o=e(111),a=e(113),c=e(114),_=e(24),d=s.__importStar(e(18)),r=e(12),p=e(9),g=e(13),u=e(115),y=e(98),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=p.includes(e._mixins,\"fill\"),i=p.includes(e._mixins,\"line\"),s=g.clone(e.attributes);function l(l){const n=g.clone(s);return t&&g.extend(n,l.fill),i&&g.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const c=l(v);this.decimated_glyph=await this.build_glyph_view(c),this.set_data(!1)}async build_glyph_view(e){return u.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.properties.indices.change,()=>this.set_data()),this.connect(this.model.view.properties.masked.change,()=>this.set_visuals()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const[,t]of e)t instanceof y.FactorRange&&this.connect(t.change,()=>this.set_data());for(const[,e]of t)e instanceof y.FactorRange&&this.connect(e.change,()=>this.set_data());this.connect(this.model.glyph.transformchange,()=>this.set_data())}_update_masked_indices(){const e=this.glyph.mask_data();return this.model.view.masked=e,e}set_data(e=!0,t=null){const i=this.model.data_source;this.all_indices=this.model.view.indices;const{all_indices:s}=this;this.glyph.set_data(i,s,t),this.set_visuals(),this._update_masked_indices();const{lod_factor:l}=this.plot_model,n=this.all_indices.count;this.decimated=new _.Indices(n);for(let e=0;e<n;e+=l)this.decimated.set(e);this.set_data_timestamp=Date.now(),e&&this.request_render()}set_visuals(){var e,t,i,s;const l=this.model.data_source,{all_indices:n}=this;this.glyph.set_visuals(l,n),this.decimated_glyph.set_visuals(l,n),null===(e=this.selection_glyph)||void 0===e||e.set_visuals(l,n),null===(t=this.nonselection_glyph)||void 0===t||t.set_visuals(l,n),null===(i=this.hover_glyph)||void 0===i||i.set_visuals(l,n),null===(s=this.muted_glyph)||void 0===s||s.set_visuals(l,n)}get has_webgl(){return this.glyph.has_webgl}_render(){const e=this.has_webgl;this.glyph.map_data();const t=[...this.all_indices];let i=[...this._update_masked_indices()];const{ctx:s}=this.layer;s.save();const{selected:l}=this.model.data_source;let c;c=!l||l.is_empty()?[]:this.glyph instanceof n.LineView&&l.selected_glyph===this.glyph.model?this.model.view.convert_indices_from_subset(i):l.indices;const{inspected:_}=this.model.data_source,d=new Set((()=>!_||_.is_empty()?[]:_.selected_glyph?this.model.view.convert_indices_from_subset(i):_.indices.length>0?_.indices:Object.keys(_.multiline_indices).map(e=>parseInt(e)))()),g=r.filter(i,e=>d.has(t[e])),{lod_threshold:u}=this.plot_model;let y,m,v;if(null!=this.model.document&&this.model.document.interactive_duration()>0&&!e&&null!=u&&t.length>u?(i=[...this.decimated],y=this.decimated_glyph,m=this.decimated_glyph,v=this.selection_glyph):(y=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,m=this.nonselection_glyph,v=this.selection_glyph),null!=this.hover_glyph&&g.length&&(i=p.difference(i,g)),c.length){const e={};for(const t of c)e[t]=!0;const l=new Array,h=new Array;if(this.glyph instanceof n.LineView)for(const i of t)null!=e[i]?l.push(i):h.push(i);else for(const s of i)null!=e[t[s]]?l.push(s):h.push(s);m.render(s,h,this.glyph),v.render(s,l,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(g),this.glyph):this.hover_glyph.render(s,g,this.glyph))}else if(this.glyph instanceof n.LineView)this.hover_glyph&&g.length?this.hover_glyph.render(s,this.model.view.convert_indices_from_subset(g),this.glyph):y.render(s,t,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==_.selected_glyphs.length||null==this.hover_glyph)y.render(s,t,this.glyph);else for(const e of _.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(s,t,this.glyph);else y.render(s,i,this.glyph),this.hover_glyph&&g.length&&this.hover_glyph.render(s,g,this.glyph);s.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[d.Instance],view:[d.Instance,()=>new c.CDSView],glyph:[d.Instance],hover_glyph:[d.Instance],nonselection_glyph:[d.Any,\"auto\"],selection_glyph:[d.Any,\"auto\"],muted_glyph:[d.Instance],muted:[d.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=r.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const a=e(70);class n extends a.RendererView{get xscale(){return this.coordinates.x_scale}get yscale(){return this.coordinates.y_scale}}t.DataRendererView=n,n.__name__=\"DataRendererView\";class s extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.override({level:\"glyph\"})}}t.DataRenderer=s,s.__name__=\"DataRenderer\",s.init_DataRenderer()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(93),l=e(100),_=e(102),r=s.__importStar(e(28)),o=s.__importStar(e(101)),h=e(88);class a extends n.XYGlyphView{initialize(){super.initialize();const{webgl:e}=this.renderer.plot_view.canvas_view;null!=e&&(this.glglyph=new _.LineGL(e.gl,this))}_render(e,i,{sx:t,sy:s}){let n=!1,l=null;this.visuals.line.set_value(e);for(const _ of i){if(n){if(!isFinite(t[_]+s[_])){e.stroke(),e.beginPath(),n=!1,l=_;continue}null!=l&&_-l>1&&(e.stroke(),n=!1)}n?e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]),n=!0),l=_}n&&e.stroke()}_hit_point(e){const i=new h.Selection,t={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,l=this.sx.length-1;e<l;e++){const l={x:this.sx[e],y:this.sy[e]},_={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(t,l,_);r<n&&r<s&&(s=r,i.add_to_selected_glyphs(this.model),i.view=this,i.line_indices=[e])}return i}_hit_span(e){const{sx:i,sy:t}=e,s=new h.Selection;let n,l;\"v\"==e.direction?(n=this.renderer.yscale.invert(t),l=this._y):(n=this.renderer.xscale.invert(i),l=this._x);for(let e=0,i=l.length-1;e<i;e++)(l[e]<=n&&n<=l[e+1]||l[e+1]<=n&&n<=l[e])&&(s.add_to_selected_glyphs(this.model),s.view=this,s.line_indices.push(e));return s}get_interpolation_hit(e,i){const[t,s,n,_]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return l.line_interpolation(this.renderer,i,t,s,n,_)}draw_legend_for_index(e,i,t){l.generic_line_legend(this.visuals,e,i,t)}}t.LineView=a,a.__name__=\"LineView\";class c extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=a,this.mixins(r.Line)}}t.Line=c,c.__name__=\"Line\",c.init_Line()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(37),n=s.__importStar(e(18)),a=e(94);class d extends a.GlyphView{_project_data(){_.inplace.project_xy(this._x,this._y)}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++){const t=this._x[i],s=this._y[i];isNaN(t+s)||!isFinite(t+s)?e.add_empty():e.add(t,s,t,s)}}scenterxy(e){return[this.sx[e],this.sy[e]]}}i.XYGlyphView=d,d.__name__=\"XYGlyphView\";class p extends a.Glyph{constructor(e){super(e)}static init_XYGlyph(){this.define({x:[n.XCoordinateSpec,{field:\"x\"}],y:[n.YCoordinateSpec,{field:\"y\"}]})}}i.XYGlyph=p,p.__name__=\"XYGlyph\",p.init_XYGlyph()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),n=s.__importStar(t(18)),a=s.__importStar(t(79)),r=s.__importStar(t(74)),_=t(71),l=t(81),o=t(19),h=t(24),d=t(12),c=t(95),u=t(98),p=t(88);class y extends _.View{constructor(){super(...arguments),this._index=null,this._data_size=null,this._nohit_warned=new Set}get renderer(){return this.parent}get has_webgl(){return null!=this.glglyph}get index(){const{_index:t}=this;if(null!=t)return t;throw new Error(this+\".index_data() wasn't called\")}get data_size(){const{_data_size:t}=this;if(null!=t)return t;throw new Error(this+\".set_data() wasn't called\")}initialize(){super.initialize(),this.visuals=new r.Visuals(this.model)}set_visuals(t,e){this.visuals.warm_cache(t,e),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,i){t.beginPath(),null!=this.glglyph&&(this.renderer.needs_webgl_blit=this.glglyph.render(t,e,i),this.renderer.needs_webgl_blit)||this._render(t,e,i)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const{x0:t,x1:e}=this.index.bounds(a.positive_x()),{y0:i,y1:s}=this.index.bounds(a.positive_y());return this._bounds({x0:t,y0:i,x1:e,y1:s})}get_anchor_point(t,e,[i,s]){switch(t){case\"center\":{const[t,n]=this.scenterxy(e,i,s);return{x:t,y:n}}default:return null}}scenterx(t,e,i){return this.scenterxy(t,e,i)[0]}scentery(t,e,i){return this.scenterxy(t,e,i)[1]}sdist(t,e,i,s=\"edge\",n=!1){let a,r;const _=e.length;if(\"center\"==s){const t=d.map(i,t=>t/2);a=new Float64Array(_);for(let i=0;i<_;i++)a[i]=e[i]-t[i];r=new Float64Array(_);for(let i=0;i<_;i++)r[i]=e[i]+t[i]}else{a=e,r=new Float64Array(_);for(let t=0;t<_;t++)r[t]=a[t]+i[t]}const l=t.v_compute(a),o=t.v_compute(r);return n?d.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):d.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,i){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(o.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:i,sy0:s,sy1:n}=t,[a,r]=this.renderer.coordinates.x_scale.r_invert(e,i),[_,l]=this.renderer.coordinates.y_scale.r_invert(s,n),o=[...this.index.indices({x0:a,x1:r,y0:_,y1:l})];return new p.Selection({indices:o})}_project_data(){}set_data(t,e,i){var s,a;const{x_range:r,y_range:_}=this.renderer.coordinates;this._data_size=null!==(s=t.get_length())&&void 0!==s?s:1;for(const i of this.model){if(!(i instanceof n.VectorSpec))continue;if(i.optional&&null==i.spec.value&&!i.dirty)continue;const s=i.attr,a=i.array(t);let l=e.select(a);if(i instanceof n.BaseCoordinateSpec){const t=\"x\"==i.dimension?r:_;if(t instanceof u.FactorRange)if(i instanceof n.CoordinateSpec)l=t.v_synthetic(l);else if(i instanceof n.CoordinateSeqSpec)for(let e=0;e<l.length;e++)l[e]=t.v_synthetic(l[e]);i instanceof n.CoordinateSeqSpec&&(l=h.RaggedArray.from(l))}else i instanceof n.DistanceSpec&&(this[\"max_\"+s]=d.max(l));this[\"_\"+s]=l}this.renderer.plot_view.model.use_map&&this._project_data(),this._set_data(i),null===(a=this.glglyph)||void 0===a||a.set_data_changed(),this.index_data()}_set_data(t){}get _index_size(){return this.data_size}index_data(){const t=new c.SpatialIndex(this._index_size);this._index_data(t),t.finish(),this._index=t}mask_data(){return null!=this.glglyph||null==this._mask_data?h.Indices.all_set(this.data_size):this._mask_data()}map_data(){var t;const e=this,{x_scale:i,y_scale:s}=this.renderer.coordinates;for(const t of this.model)if(t instanceof n.BaseCoordinateSpec){const n=\"x\"==t.dimension?i:s;let a=e[\"_\"+t.attr];if(a instanceof h.RaggedArray){const t=n.v_compute(a.array);a=new h.RaggedArray(a.offsets,t)}else a=n.v_compute(a);this[\"s\"+t.attr]=a}this._map_data(),null===(t=this.glglyph)||void 0===t||t.set_data_changed()}_map_data(){}}i.GlyphView=y,y.__name__=\"GlyphView\";class g extends l.Model{constructor(t){super(t)}static init_Glyph(){}}i.Glyph=g,g.__name__=\"Glyph\",g.init_Glyph()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(96)),s=e(24),o=e(79);function d(e,n){let t=0,i=n.length-1;for(;t<i;){const s=t+i>>1;n[s]>e?i=s:t=s+1}return n[t]}class x extends i.default{search_indices(e,n,t,i){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let o=this._boxes.length-4;const x=[],h=new s.Indices(this.numItems);for(;void 0!==o;){const s=Math.min(o+4*this.nodeSize,d(o,this._levelBounds));for(let d=o;d<s;d+=4){const s=0|this._indices[d>>2];t<this._boxes[d+0]||(i<this._boxes[d+1]||e>this._boxes[d+2]||n>this._boxes[d+3]||(o<4*this.numItems?h.set(s):x.push(s)))}o=x.pop()}return h}}x.__name__=\"_FlatBush\";class h{constructor(e){this.index=null,e>0&&(this.index=new x(e))}add(e,n,t,i){var s;null===(s=this.index)||void 0===s||s.add(e,n,t,i)}add_empty(){var e;null===(e=this.index)||void 0===e||e.add(1/0,1/0,-1/0,-1/0)}finish(){var e;null===(e=this.index)||void 0===e||e.finish()}_normalize(e){let{x0:n,y0:t,x1:i,y1:s}=e;return n>i&&([n,i]=[i,n]),t>s&&([t,s]=[s,t]),{x0:n,y0:t,x1:i,y1:s}}get bbox(){if(null==this.index)return o.empty();{const{minX:e,minY:n,maxX:t,maxY:i}=this.index;return{x0:e,y0:n,x1:t,y1:i}}}indices(e){if(null==this.index)return new s.Indices(0);{const{x0:n,y0:t,x1:i,y1:s}=this._normalize(e);return this.index.search_indices(n,t,i,s)}}bounds(e){const n=o.empty();for(const t of this.indices(e)){const e=this.index._boxes,i=e[4*t+0],s=e[4*t+1],o=e[4*t+2],d=e[4*t+3];o<n.x0&&(n.x0=o),i>n.x1&&(n.x1=i),d<n.y0&&(n.y0=d),s>n.y1&&(n.y1=s)}return n}}t.SpatialIndex=h,h.__name__=\"SpatialIndex\"},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(97)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const 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i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h<i;){let s=1+(h<<1);const i=s+1;let e=this.ids[s],l=this.values[s];const n=this.values[i];if(i<this.length&&n<l&&(s=i,e=this.ids[i],l=n),l>=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),i=t(99),r=s.__importStar(t(18)),a=t(24),o=t(9),p=t(8),g=t(11);function c(t,e,n=0){const s=new Map;for(let i=0;i<t.length;i++){const r=t[i];if(s.has(r))throw new Error(\"duplicate factor or subfactor: \"+r);s.set(r,{value:.5+i*(1+e)+n})}return[s,(t.length-1)*e]}function l(t,e,n,s=0){var i;const r=new Map,a=new Map;for(const[e,n]of t){const t=null!==(i=a.get(e))&&void 0!==i?i:[];a.set(e,[...t,n])}let p=s,g=0;for(const[t,s]of a){const i=s.length,[a,l]=c(s,n,p);g+=l;const u=o.sum(s.map(t=>a.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){const e=t.length,n=new a.NumberArray(e);for(let s=0;s<e;s++)n[s]=this.synthetic(t[s]);return n}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(81),a=n.__importStar(e(18));class r extends s.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[a.Any],min_interval:[a.Any],max_interval:[a.Any]}),this.internal({plots:[a.Array,[]]})}get is_reversed(){return this.start>this.end}get is_valid(){return!isNaN(this.min)&&!isNaN(this.max)}}i.Range=r,r.__name__=\"Range\",r.init_Range()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(101));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n      function _(t,n,e){function i(t,n){return(t.x-n.x)**2+(t.y-n.y)**2}function r(t,n,e){const r=i(n,e);if(0==r)return i(t,n);const s=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/r;if(s<0)return i(t,n);if(s>1)return i(t,e);return i(t,{x:n.x+s*(e.x-n.x),y:n.y+s*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let u=0;u<e.length;u++){const c=e[u],_=i[u];o<n!=_<n&&s+(n-o)/(_-o)*(c-s)<t&&(r=!r),s=c,o=_}return r},e.point_in_ellipse=function(t,n,e,i,r,s,o){return((Math.cos(e)/r)**2+(Math.sin(e)/i)**2)*(t-s)**2+2*Math.cos(e)*Math.sin(e)*((1/r)**2-(1/i)**2)*(t-s)*(n-o)+((Math.cos(e)/i)**2+(Math.sin(e)/r)**2)*(n-o)**2<=1},e.dist_2_pts=i,e.dist_to_segment_squared=r,e.dist_to_segment=function(t,n,e){return Math.sqrt(r(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,r,s,o,u){const c=(u-s)*(e-t)-(o-r)*(i-n);if(0==c)return{hit:!1,x:null,y:null};{let _=n-s,l=t-r;const y=(e-t)*_-(i-n)*l;_=((o-r)*_-(u-s)*l)/c,l=y/c;return{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(103),a=t(107),n=t(108),o=t(109),_=t(22);class h{constructor(t){this._atlas=new Map,this._width=256,this._height=256,this.tex=new i.Texture2d(t),this.tex.set_wrapping(t.REPEAT,t.REPEAT),this.tex.set_interpolation(t.NEAREST,t.NEAREST),this.tex.set_size([this._width,this._height],t.RGBA),this.tex.set_data([0,0],[this._width,this._height],new Uint8Array(4*this._width*this._height)),this.get_atlas_data([1])}get_atlas_data(t){const e=t.join(\"-\");let s=this._atlas.get(e);if(null==s){const[i,a]=this.make_pattern(t),n=this._atlas.size;this.tex.set_data([0,n],[this._width,1],new Uint8Array(i.map(t=>t+10))),s=[n/this._height,a],this._atlas.set(e,s)}return s}make_pattern(t){t.length>1&&t.length%2&&(t=t.concat(t));let e=0;for(const s of t)e+=s;const s=[];let i=0;for(let e=0,a=t.length+2;e<a;e+=2){const a=Math.max(1e-4,t[e%t.length]),n=Math.max(1e-4,t[(e+1)%t.length]);s.push(i,i+a),i+=a+n}const a=this._width,n=new Float32Array(4*a);for(let t=0,i=a;t<i;t++){let i,o,_;const h=e*t/(a-1);let r=0,l=1e16;for(let t=0,e=s.length;t<e;t++){const e=Math.abs(s[t]-h);e<l&&(r=t,l=e)}r%2==0?(_=h<=s[r]?1:0,o=s[r],i=s[r+1]):(_=h>s[r]?-1:0,o=s[r-1],i=s[r]),n[4*t+0]=s[r],n[4*t+1]=_,n[4*t+2]=o,n[4*t+3]=i}return[n,e]}}h.__name__=\"DashAtlas\";const r={miter:0,round:1,bevel:2},l={\"\":0,none:0,\".\":0,round:1,\")\":1,\"(\":1,o:1,\"triangle in\":2,\"<\":2,\"triangle out\":3,\">\":3,square:4,\"[\":4,\"]\":4,\"=\":4,butt:5,\"|\":5};class g extends a.BaseGLGlyph{init(){const{gl:t}=this;this._scale_aspect=0;const e=n.vertex_shader,s=o.fragment_shader;this.prog=new i.Program(t),this.prog.set_shaders(e,s),this.index_buffer=new i.IndexBuffer(t),this.vbo_position=new i.VertexBuffer(t),this.vbo_tangents=new i.VertexBuffer(t),this.vbo_segment=new i.VertexBuffer(t),this.vbo_angles=new i.VertexBuffer(t),this.vbo_texcoord=new i.VertexBuffer(t),this.dash_atlas=new h(t)}draw(t,e,s){const i=e.glglyph;if(i.data_changed&&(i._set_data(),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(),this.visuals_changed=!1),i._update_scale(1,1),this._scale_aspect=1,this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord),this.prog.set_uniform(\"u_length\",\"float\",[i.cumsum]),this.prog.set_texture(\"u_dash_atlas\",this.dash_atlas.tex),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_uniform(\"u_scale_aspect\",\"vec2\",[1,1]),this.prog.set_uniform(\"u_scale_length\",\"float\",[Math.sqrt(2)]),this.I_triangles=i.I_triangles,this.I_triangles.length<65535)this.index_buffer.set_size(2*this.I_triangles.length),this.index_buffer.set_data(0,new Uint16Array(this.I_triangles)),this.prog.draw(this.gl.TRIANGLES,this.index_buffer);else{t=Array.from(this.I_triangles);const e=this.I_triangles.length,s=64008,a=[];for(let t=0,i=Math.ceil(e/s);t<i;t++)a.push([]);for(let e=0,i=t.length;e<i;e++){const i=t[e]%s;a[Math.floor(t[e]/s)].push(i)}for(let t=0,e=a.length;t<e;t++){const e=new Uint16Array(a[t]),n=t*s*4;0!==e.length&&(this.prog.set_attribute(\"a_position\",\"vec2\",i.vbo_position,0,2*n),this.prog.set_attribute(\"a_tangents\",\"vec4\",i.vbo_tangents,0,4*n),this.prog.set_attribute(\"a_segment\",\"vec2\",i.vbo_segment,0,2*n),this.prog.set_attribute(\"a_angles\",\"vec2\",i.vbo_angles,0,2*n),this.prog.set_attribute(\"a_texcoord\",\"vec2\",i.vbo_texcoord,0,2*n),this.index_buffer.set_size(2*e.length),this.index_buffer.set_data(0,e),this.prog.draw(this.gl.TRIANGLES,this.index_buffer))}}}_set_data(){this._bake(),this.vbo_position.set_size(4*this.V_position.length),this.vbo_position.set_data(0,this.V_position),this.vbo_tangents.set_size(4*this.V_tangents.length),this.vbo_tangents.set_data(0,this.V_tangents),this.vbo_angles.set_size(4*this.V_angles.length),this.vbo_angles.set_data(0,this.V_angles),this.vbo_texcoord.set_size(4*this.V_texcoord.length),this.vbo_texcoord.set_data(0,this.V_texcoord)}_set_visuals(){const t=_.color2rgba(this.glyph.visuals.line.line_color.value(),this.glyph.visuals.line.line_alpha.value()),e=l[this.glyph.visuals.line.line_cap.value()],s=r[this.glyph.visuals.line.line_join.value()];this.prog.set_uniform(\"u_color\",\"vec4\",t),this.prog.set_uniform(\"u_linewidth\",\"float\",[this.glyph.visuals.line.line_width.value()]),this.prog.set_uniform(\"u_antialias\",\"float\",[.9]),this.prog.set_uniform(\"u_linecaps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_linejoin\",\"float\",[s]),this.prog.set_uniform(\"u_miter_limit\",\"float\",[10]);const i=this.glyph.visuals.line.line_dash.value();let a=0,n=1;i.length&&([a,n]=this.dash_atlas.get_atlas_data(i)),this.prog.set_uniform(\"u_dash_index\",\"float\",[a]),this.prog.set_uniform(\"u_dash_phase\",\"float\",[this.glyph.visuals.line.line_dash_offset.value()]),this.prog.set_uniform(\"u_dash_period\",\"float\",[n]),this.prog.set_uniform(\"u_dash_caps\",\"vec2\",[e,e]),this.prog.set_uniform(\"u_closed\",\"float\",[0])}_bake(){let t,e,s,i,a,n,o,_;const h=this.nvertices,r=this.glyph.sx,l=this.glyph.sy,g=o=new Float32Array(2*h),u=new Float32Array(2*h),f=_=new Float32Array(4*h);for(let t=0,e=h;t<e;t++)g[2*t+0]=r[t],g[2*t+1]=l[t];this.tangents=e=new Float32Array(2*h-2);for(let t=0,s=h-1;t<s;t++)e[2*t+0]=o[2*(t+1)+0]-o[2*t+0],e[2*t+1]=o[2*(t+1)+1]-o[2*t+1];for(let t=0,s=h-1;t<s;t++)f[4*(t+1)+0]=e[2*t+0],f[4*(t+1)+1]=e[2*t+1],f[4*t+2]=e[2*t+0],f[4*t+3]=e[2*t+1];f[0]=e[0],f[1]=e[1],f[4*(h-1)+2]=e[2*(h-2)+0],f[4*(h-1)+3]=e[2*(h-2)+1];const c=new Float32Array(h);for(let t=0,e=h;t<e;t++)c[t]=Math.atan2(_[4*t+0]*_[4*t+3]-_[4*t+1]*_[4*t+2],_[4*t+0]*_[4*t+2]+_[4*t+1]*_[4*t+3]);for(let t=0,e=h-1;t<e;t++)u[2*t+0]=c[t],u[2*t+1]=c[t+1];const p=4*h-4;this.V_position=i=new Float32Array(2*p),this.V_angles=s=new Float32Array(2*p),this.V_tangents=a=new Float32Array(4*p),this.V_texcoord=n=new Float32Array(2*p);for(let t=0,e=h;t<e;t++)for(let e=0;e<4;e++){for(let a=0;a<2;a++)i[2*(4*t+e-2)+a]=g[2*t+a],s[2*(4*t+e)+a]=u[2*t+a];for(let s=0;s<4;s++)a[4*(4*t+e-2)+s]=f[4*t+s]}for(let t=0,e=h;t<e;t++)n[2*(4*t+0)+0]=-1,n[2*(4*t+1)+0]=-1,n[2*(4*t+2)+0]=1,n[2*(4*t+3)+0]=1,n[2*(4*t+0)+1]=-1,n[2*(4*t+1)+1]=1,n[2*(4*t+2)+1]=-1,n[2*(4*t+3)+1]=1;const d=6*(h-1);this.I_triangles=t=new Uint32Array(d);for(let e=0,s=h;e<s;e++)t[6*e+0]=0+4*e,t[6*e+1]=1+4*e,t[6*e+2]=3+4*e,t[6*e+3]=2+4*e,t[6*e+4]=0+4*e,t[6*e+5]=3+4*e}_update_scale(t,e){let s;const i=this.nvertices,a=4*i-4,n=this.tangents,o=new Float32Array(i-1),_=new Float32Array(2*i);this.V_segment=s=new Float32Array(2*a);for(let s=0,a=i-1;s<a;s++)o[s]=Math.sqrt((n[2*s+0]*t)**2+(n[2*s+1]*e)**2);let h=0;for(let t=0,e=i-1;t<e;t++)h+=o[t],_[2*(t+1)+0]=h,_[2*t+1]=h;for(let t=0,e=i;t<e;t++)for(let e=0;e<4;e++)for(let i=0;i<2;i++)s[2*(4*t+e)+i]=_[2*t+i];this.cumsum=h,this.vbo_segment.set_size(4*this.V_segment.length),this.vbo_segment.set_data(0,this.V_segment)}}s.LineGL=g,g.__name__=\"LineGL\"},\n      function _(e,r,f){Object.defineProperty(f,\"__esModule\",{value:!0});var u=e(104);f.Program=u.Program;var t=e(106);f.Texture2d=t.Texture2d;var a=e(105);f.IndexBuffer=a.IndexBuffer,f.VertexBuffer=a.VertexBuffer},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(105);class a{constructor(t){this.gl=t,this.UTYPEMAP={float:\"uniform1fv\",vec2:\"uniform2fv\",vec3:\"uniform3fv\",vec4:\"uniform4fv\",int:\"uniform1iv\",ivec2:\"uniform2iv\",ivec3:\"uniform3iv\",ivec4:\"uniform4iv\",bool:\"uniform1iv\",bvec2:\"uniform2iv\",bvec3:\"uniform3iv\",bvec4:\"uniform4iv\",mat2:\"uniformMatrix2fv\",mat3:\"uniformMatrix3fv\",mat4:\"uniformMatrix4fv\",sampler1D:\"uniform1i\",sampler2D:\"uniform1i\",sampler3D:\"uniform1i\"},this.ATYPEMAP={float:\"vertexAttrib1f\",vec2:\"vertexAttrib2f\",vec3:\"vertexAttrib3f\",vec4:\"vertexAttrib4f\"},this.ATYPEINFO={float:[1,5126],vec2:[2,5126],vec3:[3,5126],vec4:[4,5126]},this._linked=!1,this._validated=!1,this._unset_variables=new Set,this._known_invalid=new Set,this._locations=new Map,this._samplers=new Map,this._attributes=new Map,this.handle=this.gl.createProgram()}delete(){this.gl.deleteProgram(this.handle)}activate(){this.gl.useProgram(this.handle)}deactivate(){this.gl.useProgram(0)}set_shaders(t,e){const i=this.gl;this._linked=!1;const s=i.createShader(i.VERTEX_SHADER),a=i.createShader(i.FRAGMENT_SHADER),r=[[t,s,\"vertex\"],[e,a,\"fragment\"]];for(const[t,e,s]of r){i.shaderSource(e,t),i.compileShader(e);if(!i.getShaderParameter(e,i.COMPILE_STATUS)){const t=i.getShaderInfoLog(e);throw new Error(`errors in ${s} shader:\\n${t}`)}}if(i.attachShader(this.handle,s),i.attachShader(this.handle,a),i.linkProgram(this.handle),!i.getProgramParameter(this.handle,i.LINK_STATUS)){const t=i.getProgramInfoLog(this.handle);throw new Error(\"Program link error:\\n\"+t)}this._unset_variables=this._get_active_attributes_and_uniforms(),i.detachShader(this.handle,s),i.detachShader(this.handle,a),i.deleteShader(s),i.deleteShader(a),this._known_invalid.clear(),this._linked=!0}_get_active_attributes_and_uniforms(){const t=this.gl;this._locations.clear();const e=new RegExp(\"(\\\\w+)\\\\s*(\\\\[(\\\\d+)\\\\])\\\\s*\"),i=t.getProgramParameter(this.handle,t.ACTIVE_UNIFORMS),s=[],a=[],r=[[s,t.getProgramParameter(this.handle,t.ACTIVE_ATTRIBUTES),t.getActiveAttrib,t.getAttribLocation],[a,i,t.getActiveUniform,t.getUniformLocation]];for(const[i,s,a,n]of r)for(let r=0;r<s;r+=1){const s=a.call(t,this.handle,r),o=s.name,h=o.match(e);if(null!=h){const t=h[1];for(let e=0;e<s.size;e+=1)i.push([`${t}[${e}]`,s.type])}else i.push([o,s.type]);this._locations.set(o,n.call(t,this.handle,o))}const n=new Set;for(const[t]of s)n.add(t);for(const[t]of a)n.add(t);return n}set_texture(t,e){var i;if(!this._linked)throw new Error(\"Cannot set uniform when program has no code\");const s=null!==(i=this._locations.get(t))&&void 0!==i?i:-1;if(s<0)this._known_invalid.has(t)||(this._known_invalid.add(t),console.log(`\"Variable ${t} is not an active texture`));else{this._unset_variables.has(t)&&this._unset_variables.delete(t),this.activate();{let i=this._samplers.size;this._samplers.has(t)&&(i=this._samplers.get(t)[2]),this._samplers.set(t,[e._target,e.handle,i]),this.gl.uniform1i(s,i)}}}set_uniform(t,e,i){var s;if(!this._linked)throw new Error(\"Cannot set uniform when program has no code\");const a=null!==(s=this._locations.get(t))&&void 0!==s?s:-1;if(a<0)return void(this._known_invalid.has(t)||(this._known_invalid.add(t),console.log(`Variable ${t} is not an active uniform`)));this._unset_variables.has(t)&&this._unset_variables.delete(t);let r=1;if(!e.startsWith(\"mat\")){const t=\"int\"==e||\"bool\"==e?\"float\":e.replace(/^ib/,\"\");r=Math.floor(i.length/this.ATYPEINFO[t][0])}if(r>1)for(let e=0;e<r;e+=1)if(this._unset_variables.has(`${t}[${e}]`)){const i=`${t}[${e}]`;this._unset_variables.has(i)&&this._unset_variables.delete(i)}const n=this.UTYPEMAP[e];this.activate(),e.startsWith(\"mat\")?this.gl[n](a,!1,i):this.gl[n](a,i)}set_attribute(t,e,i,a=0,r=0){var n;if(!this._linked)throw new Error(\"Cannot set attribute when program has no code\");const o=null!==(n=this._locations.get(t))&&void 0!==n?n:-1;if(o<0)this._known_invalid.has(t)||(this._known_invalid.add(t),i instanceof s.VertexBuffer&&r>0||console.log(`Variable ${t} is not an active attribute`));else if(this._unset_variables.has(t)&&this._unset_variables.delete(t),this.activate(),i instanceof s.VertexBuffer){const[s,n]=this.ATYPEINFO[e],h=\"vertexAttribPointer\",l=[s,n,!1,a,r];this._attributes.set(t,[i.handle,o,h,l])}else{const s=this.ATYPEMAP[e];this._attributes.set(t,[null,o,s,i])}}_pre_draw(){this.activate();for(const[t,e,i]of this._samplers.values())this.gl.activeTexture(this.gl.TEXTURE0+i),this.gl.bindTexture(t,e);for(const[t,e,i,s]of this._attributes.values())null!=t?(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,t),this.gl.enableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s])):(this.gl.bindBuffer(this.gl.ARRAY_BUFFER,null),this.gl.disableVertexAttribArray(e),this.gl[i].apply(this.gl,[e,...s]));this._validated||(this._validated=!0,this._validate())}_validate(){if(this._unset_variables.size&&console.log(\"Program has unset variables: \"+this._unset_variables),this.gl.validateProgram(this.handle),!this.gl.getProgramParameter(this.handle,this.gl.VALIDATE_STATUS))throw console.log(this.gl.getProgramInfoLog(this.handle)),new Error(\"Program validation error\")}draw(t,e){if(!this._linked)throw new Error(\"Cannot draw program if code has not been set\");if(e instanceof s.IndexBuffer){this._pre_draw(),e.activate();const i=e.buffer_size/2,s=this.gl.UNSIGNED_SHORT;this.gl.drawElements(t,i,s,0),e.deactivate()}else{const[i,s]=e;0!=s&&(this._pre_draw(),this.gl.drawArrays(t,i,s))}}}i.Program=a,a.__name__=\"Program\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});class i{constructor(e){this.gl=e,this._usage=35048,this.buffer_size=0,this.handle=this.gl.createBuffer()}delete(){this.gl.deleteBuffer(this.handle)}activate(){this.gl.bindBuffer(this._target,this.handle)}deactivate(){this.gl.bindBuffer(this._target,null)}set_size(e){e!=this.buffer_size&&(this.activate(),this.gl.bufferData(this._target,e,this._usage),this.buffer_size=e)}set_data(e,t){this.activate(),this.gl.bufferSubData(this._target,e,t)}}s.Buffer=i,i.__name__=\"Buffer\";class r extends i{constructor(){super(...arguments),this._target=34962}}s.VertexBuffer=r,r.__name__=\"VertexBuffer\";class a extends i{constructor(){super(...arguments),this._target=34963}}s.IndexBuffer=a,a.__name__=\"IndexBuffer\"},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=t(11);class r{constructor(t){this.gl=t,this._target=3553,this._types={Int8Array:5120,Uint8Array:5121,Int16Array:5122,Uint16Array:5123,Int32Array:5124,Uint32Array:5125,Float32Array:5126},this.handle=this.gl.createTexture()}delete(){this.gl.deleteTexture(this.handle)}activate(){this.gl.bindTexture(this._target,this.handle)}deactivate(){this.gl.bindTexture(this._target,0)}_get_alignment(t){const e=[4,8,2,1];for(const i of e)if(t%i==0)return i;a.unreachable()}set_wrapping(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_S,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_WRAP_T,e)}set_interpolation(t,e){this.activate(),this.gl.texParameterf(this._target,this.gl.TEXTURE_MIN_FILTER,t),this.gl.texParameterf(this._target,this.gl.TEXTURE_MAG_FILTER,e)}set_size([t,e],i){var a,r,s;t==(null===(a=this._shape_format)||void 0===a?void 0:a.width)&&e==(null===(r=this._shape_format)||void 0===r?void 0:r.height)&&i==(null===(s=this._shape_format)||void 0===s?void 0:s.format)||(this._shape_format={width:t,height:e,format:i},this.activate(),this.gl.texImage2D(this._target,0,i,t,e,0,i,this.gl.UNSIGNED_BYTE,null))}set_data(t,[e,i],a){this.activate();const{format:r}=this._shape_format,[s,h]=t,l=this._types[a.constructor.name];if(null==l)throw new Error(`Type ${a.constructor.name} not allowed for texture`);const _=this._get_alignment(e);4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,_),this.gl.texSubImage2D(this._target,0,s,h,e,i,r,l,a),4!=_&&this.gl.pixelStorei(this.gl.UNPACK_ALIGNMENT,4)}}i.Texture2d=r,r.__name__=\"Texture2d\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});class s{constructor(e,t){this.gl=e,this.glyph=t,this.nvertices=0,this.size_changed=!1,this.data_changed=!1,this.visuals_changed=!1,this.init()}set_data_changed(){const{data_size:e}=this.glyph;e!=this.nvertices&&(this.nvertices=e,this.size_changed=!0),this.data_changed=!0}set_visuals_changed(){this.visuals_changed=!0}render(e,t,i){if(0==t.length)return!0;const{width:s,height:h}=this.glyph.renderer.plot_view.canvas_view.webgl.canvas,a={pixel_ratio:this.glyph.renderer.plot_view.canvas_view.pixel_ratio,width:s,height:h};return this.draw(t,i,a),!0}}i.BaseGLGlyph=s,s.__name__=\"BaseGLGlyph\"},\n      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.vertex_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size, u_offset;\\nuniform vec2 u_scale_aspect;\\nuniform float u_scale_length;\\n\\nuniform vec4 u_color;\\nuniform float u_antialias;\\nuniform float u_length;\\nuniform float u_linewidth;\\nuniform float u_dash_index;\\nuniform float u_closed;\\n\\nattribute vec2 a_position;\\nattribute vec4 a_tangents;\\nattribute vec2 a_segment;\\nattribute vec2 a_angles;\\nattribute vec2 a_texcoord;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\nfloat cross(in vec2 v1, in vec2 v2)\\n{\\n    return v1.x*v2.y - v1.y*v2.x;\\n}\\n\\nfloat signed_distance(in vec2 v1, in vec2 v2, in vec2 v3)\\n{\\n    return cross(v2-v1,v1-v3) / length(v2-v1);\\n}\\n\\nvoid rotate( in vec2 v, in float alpha, out vec2 result )\\n{\\n    float c = cos(alpha);\\n    float s = sin(alpha);\\n    result = vec2( c*v.x - s*v.y,\\n                   s*v.x + c*v.y );\\n}\\n\\nvoid main()\\n{\\n    bool closed = (u_closed > 0.0);\\n\\n    // Attributes and uniforms to varyings\\n    v_color = u_color;\\n    v_linewidth = u_linewidth;\\n    v_segment = a_segment * u_scale_length;\\n    v_length = u_length * u_scale_length;\\n\\n    // Scale to map to pixel coordinates. The original algorithm from the paper\\n    // assumed isotropic scale. We obviously do not have this.\\n    vec2 abs_scale_aspect = abs(u_scale_aspect);\\n    vec2 abs_scale = u_scale_length * abs_scale_aspect;\\n\\n    // Correct angles for aspect ratio\\n    vec2 av;\\n    av = vec2(1.0, tan(a_angles.x)) / abs_scale_aspect;\\n    v_angles.x = atan(av.y, av.x);\\n    av = vec2(1.0, tan(a_angles.y)) / abs_scale_aspect;\\n    v_angles.y = atan(av.y, av.x);\\n\\n    // Thickness below 1 pixel are represented using a 1 pixel thickness\\n    // and a modified alpha\\n    v_color.a = min(v_linewidth, v_color.a);\\n    v_linewidth = max(v_linewidth, 1.0);\\n\\n    // If color is fully transparent we just will discard the fragment anyway\\n    if( v_color.a <= 0.0 ) {\\n        gl_Position = vec4(0.0,0.0,0.0,1.0);\\n        return;\\n    }\\n\\n    // This is the actual half width of the line\\n    float w = ceil(u_antialias+v_linewidth)/2.0;\\n\\n    vec2 position = a_position;\\n\\n    vec2 t1 = normalize(a_tangents.xy * abs_scale_aspect);  // note the scaling for aspect ratio here\\n    vec2 t2 = normalize(a_tangents.zw * abs_scale_aspect);\\n    float u = a_texcoord.x;\\n    float v = a_texcoord.y;\\n    vec2 o1 = vec2( +t1.y, -t1.x);\\n    vec2 o2 = vec2( +t2.y, -t2.x);\\n\\n    // This is a join\\n    // ----------------------------------------------------------------\\n    if( t1 != t2 ) {\\n        float angle = atan (t1.x*t2.y-t1.y*t2.x, t1.x*t2.x+t1.y*t2.y);  // Angle needs recalculation for some reason\\n        vec2 t  = normalize(t1+t2);\\n        vec2 o  = vec2( + t.y, - t.x);\\n\\n        if ( u_dash_index > 0.0 )\\n        {\\n            // Broken angle\\n            // ----------------------------------------------------------------\\n            if( (abs(angle) > THETA) ) {\\n                position += v * w * o / cos(angle/2.0);\\n                float s = sign(angle);\\n                if( angle < 0.0 ) {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position -= 2.0 * w * t1 / sin(angle);\\n                            u -= 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == 1.0 ) {\\n                            position += 2.0 * w * t2 / sin(angle);\\n                            u += 2.0*w / sin(angle);\\n                        }\\n                    }\\n                } else {\\n                    if( u == +1.0 ) {\\n                        u = v_segment.y + v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position += 2.0 * w * t1 / sin(angle);\\n                            u += 2.0 * w / sin(angle);\\n                        }\\n                    } else {\\n                        u = v_segment.x - v * w * tan(angle/2.0);\\n                        if( v == -1.0 ) {\\n                            position -= 2.0 * w * t2 / sin(angle);\\n                            u -= 2.0*w / sin(angle);\\n                        }\\n                    }\\n                }\\n                // Continuous angle\\n                // ------------------------------------------------------------\\n            } else {\\n                position += v * w * o / cos(angle/2.0);\\n                if( u == +1.0 ) u = v_segment.y;\\n                else            u = v_segment.x;\\n            }\\n        }\\n\\n        // Solid line\\n        // --------------------------------------------------------------------\\n        else\\n        {\\n            position.xy += v * w * o / cos(angle/2.0);\\n            if( angle < 0.0 ) {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            } else {\\n                if( u == +1.0 ) {\\n                    u = v_segment.y + v * w * tan(angle/2.0);\\n                } else {\\n                    u = v_segment.x - v * w * tan(angle/2.0);\\n                }\\n            }\\n        }\\n\\n    // This is a line start or end (t1 == t2)\\n    // ------------------------------------------------------------------------\\n    } else {\\n        position += v * w * o1;\\n        if( u == -1.0 ) {\\n            u = v_segment.x - w;\\n            position -= w * t1;\\n        } else {\\n            u = v_segment.y + w;\\n            position += w * t2;\\n        }\\n    }\\n\\n    // Miter distance\\n    // ------------------------------------------------------------------------\\n    vec2 t;\\n    vec2 curr = a_position * abs_scale;\\n    if( a_texcoord.x < 0.0 ) {\\n        vec2 next = curr + t2*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, +v_angles.x/2.0, t);\\n        v_miter.x = signed_distance(curr, curr+t, position);\\n\\n        rotate( t2, +v_angles.y/2.0, t);\\n        v_miter.y = signed_distance(next, next+t, position);\\n    } else {\\n        vec2 prev = curr - t1*(v_segment.y-v_segment.x);\\n\\n        rotate( t1, -v_angles.x/2.0,t);\\n        v_miter.x = signed_distance(prev, prev+t, position);\\n\\n        rotate( t2, -v_angles.y/2.0,t);\\n        v_miter.y = signed_distance(curr, curr+t, position);\\n    }\\n\\n    if (!closed && v_segment.x <= 0.0) {\\n        v_miter.x = 1e10;\\n    }\\n    if (!closed && v_segment.y >= v_length)\\n    {\\n        v_miter.y = 1e10;\\n    }\\n\\n    v_texcoord = vec2( u, v*w );\\n\\n    // Calculate position in device coordinates. Note that we\\n    // already scaled with abs scale above.\\n    vec2 normpos = position * sign(u_scale_aspect);\\n    normpos += 0.5;  // make up for Bokeh's offset\\n    normpos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(normpos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n}\\n\"},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.fragment_shader=\"\\nprecision mediump float;\\n\\nconst float PI = 3.14159265358979323846264;\\nconst float THETA = 15.0 * 3.14159265358979323846264/180.0;\\n\\nuniform sampler2D u_dash_atlas;\\n\\nuniform vec2 u_linecaps;\\nuniform float u_miter_limit;\\nuniform float u_linejoin;\\nuniform float u_antialias;\\nuniform float u_dash_phase;\\nuniform float u_dash_period;\\nuniform float u_dash_index;\\nuniform vec2 u_dash_caps;\\nuniform float u_closed;\\n\\nvarying vec4  v_color;\\nvarying vec2  v_segment;\\nvarying vec2  v_angles;\\nvarying vec2  v_texcoord;\\nvarying vec2  v_miter;\\nvarying float v_length;\\nvarying float v_linewidth;\\n\\n// Compute distance to cap ----------------------------------------------------\\nfloat cap( int type, float dx, float dy, float t, float linewidth )\\n{\\n    float d = 0.0;\\n    dx = abs(dx);\\n    dy = abs(dy);\\n    if      (type == 0)  discard;  // None\\n    else if (type == 1)  d = sqrt(dx*dx+dy*dy);  // Round\\n    else if (type == 3)  d = (dx+abs(dy));  // Triangle in\\n    else if (type == 2)  d = max(abs(dy),(t+dx-abs(dy)));  // Triangle out\\n    else if (type == 4)  d = max(dx,dy);  // Square\\n    else if (type == 5)  d = max(dx+t,dy);  // Butt\\n    return d;\\n}\\n\\n// Compute distance to join -------------------------------------------------\\nfloat join( in int type, in float d, in vec2 segment, in vec2 texcoord, in vec2 miter,\\n           in float linewidth )\\n{\\n    // texcoord.x is distance from start\\n    // texcoord.y is distance from centerline\\n    // segment.x and y indicate the limits (as for texcoord.x) for this segment\\n\\n    float dx = texcoord.x;\\n\\n    // Round join\\n    if( type == 1 ) {\\n        if (dx < segment.x) {\\n            d = max(d,length( texcoord - vec2(segment.x,0.0)));\\n            //d = length( texcoord - vec2(segment.x,0.0));\\n        } else if (dx > segment.y) {\\n            d = max(d,length( texcoord - vec2(segment.y,0.0)));\\n            //d = length( texcoord - vec2(segment.y,0.0));\\n        }\\n    }\\n    // Bevel join\\n    else if ( type == 2 ) {\\n        if (dx < segment.x) {\\n            vec2 x = texcoord - vec2(segment.x,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n\\n        } else if (dx > segment.y) {\\n            vec2 x = texcoord - vec2(segment.y,0.0);\\n            d = max(d, max(abs(x.x), abs(x.y)));\\n        }\\n        /*  Original code for bevel which does not work for us\\n        if( (dx < segment.x) ||  (dx > segment.y) )\\n            d = max(d, min(abs(x.x),abs(x.y)));\\n        */\\n    }\\n\\n    return d;\\n}\\n\\nvoid main()\\n{\\n    // If color is fully transparent we just discard the fragment\\n    if( v_color.a <= 0.0 ) {\\n        discard;\\n    }\\n\\n    // Test if dash pattern is the solid one (0)\\n    bool solid =  (u_dash_index == 0.0);\\n\\n    // Test if path is closed\\n    bool closed = (u_closed > 0.0);\\n\\n    vec4 color = v_color;\\n    float dx = v_texcoord.x;\\n    float dy = v_texcoord.y;\\n    float t = v_linewidth/2.0-u_antialias;\\n    float width = 1.0;  //v_linewidth; original code had dashes scale with line width, we do not\\n    float d = 0.0;\\n\\n    vec2 linecaps = u_linecaps;\\n    vec2 dash_caps = u_dash_caps;\\n    float line_start = 0.0;\\n    float line_stop = v_length;\\n\\n    // Apply miter limit; fragments too far into the miter are simply discarded\\n    if( (dx < v_segment.x) || (dx > v_segment.y) ) {\\n        float into_miter = max(v_segment.x - dx, dx - v_segment.y);\\n        if (into_miter > u_miter_limit*v_linewidth/2.0)\\n          discard;\\n    }\\n\\n    // Solid line --------------------------------------------------------------\\n    if( solid ) {\\n        d = abs(dy);\\n        if( (!closed) && (dx < line_start) ) {\\n            d = cap( int(u_linecaps.x), abs(dx), abs(dy), t, v_linewidth );\\n        }\\n        else if( (!closed) &&  (dx > line_stop) ) {\\n            d = cap( int(u_linecaps.y), abs(dx)-line_stop, abs(dy), t, v_linewidth );\\n        }\\n        else {\\n            d = join( int(u_linejoin), abs(dy), v_segment, v_texcoord, v_miter, v_linewidth );\\n        }\\n\\n    // Dash line --------------------------------------------------------------\\n    } else {\\n        float segment_start = v_segment.x;\\n        float segment_stop  = v_segment.y;\\n        float segment_center= (segment_start+segment_stop)/2.0;\\n        float freq          = u_dash_period*width;\\n        float u = mod( dx + u_dash_phase*width, freq);\\n        vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n        float dash_center= tex.x * width;\\n        float dash_type  = tex.y;\\n        float _start = tex.z * width;\\n        float _stop  = tex.a * width;\\n        float dash_start = dx - u + _start;\\n        float dash_stop  = dx - u + _stop;\\n\\n        // Compute extents of the first dash (the one relative to v_segment.x)\\n        // Note: this could be computed in the vertex shader\\n        if( (dash_stop < segment_start) && (dash_caps.x != 5.0) ) {\\n            float u = mod(segment_start + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_start - u + _start;\\n            dash_stop = segment_start - u + _stop;\\n        }\\n\\n        // Compute extents of the last dash (the one relatives to v_segment.y)\\n        // Note: This could be computed in the vertex shader\\n        else if( (dash_start > segment_stop)  && (dash_caps.y != 5.0) ) {\\n            float u = mod(segment_stop + u_dash_phase*width, freq);\\n            vec4 tex = texture2D(u_dash_atlas, vec2(u/freq, u_dash_index)) * 255.0 -10.0;  // conversion to int-like\\n            dash_center= tex.x * width;\\n            //dash_type  = tex.y;\\n            float _start = tex.z * width;\\n            float _stop  = tex.a * width;\\n            dash_start = segment_stop - u + _start;\\n            dash_stop  = segment_stop - u + _stop;\\n        }\\n\\n        // This test if the we are dealing with a discontinuous angle\\n        bool discontinuous = ((dx <  segment_center) && abs(v_angles.x) > THETA) ||\\n                             ((dx >= segment_center) && abs(v_angles.y) > THETA);\\n        //if( dx < line_start) discontinuous = false;\\n        //if( dx > line_stop)  discontinuous = false;\\n\\n        float d_join = join( int(u_linejoin), abs(dy),\\n                            v_segment, v_texcoord, v_miter, v_linewidth );\\n\\n        // When path is closed, we do not have room for linecaps, so we make room\\n        // by shortening the total length\\n        if (closed) {\\n             line_start += v_linewidth/2.0;\\n             line_stop  -= v_linewidth/2.0;\\n        }\\n\\n        // We also need to take antialias area into account\\n        //line_start += u_antialias;\\n        //line_stop  -= u_antialias;\\n\\n        // Check is dash stop is before line start\\n        if( dash_stop <= line_start ) {\\n            discard;\\n        }\\n        // Check is dash start is beyond line stop\\n        if( dash_start >= line_stop ) {\\n            discard;\\n        }\\n\\n        // Check if current dash start is beyond segment stop\\n        if( discontinuous ) {\\n            // Dash start is beyond segment, we discard\\n            if( (dash_start > segment_stop) ) {\\n                discard;\\n                //gl_FragColor = vec4(1.0,0.0,0.0,.25); return;\\n            }\\n\\n            // Dash stop is before segment, we discard\\n            if( (dash_stop < segment_start) ) {\\n                discard;  //gl_FragColor = vec4(0.0,1.0,0.0,.25); return;\\n            }\\n\\n            // Special case for round caps (nicer with this)\\n            if( dash_caps.x == 1.0 ) {\\n                if( (u > _stop) && (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for round caps  (nicer with this)\\n            if( dash_caps.y == 1.0 ) {\\n                if( (u < _start) && (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0)) {\\n                    discard;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.x != 1.0) && (dash_caps.x != 5.0) ) {\\n                if( (dash_start < segment_start )  && (abs(v_angles.x) < PI/2.0) ) {\\n                    float a = v_angles.x/2.0;\\n                    float x = (segment_start-dx)*cos(a) - dy*sin(a);\\n                    float y = (segment_start-dx)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the cap into square to avoid holes\\n                    dash_caps.x = 4.0;\\n                }\\n            }\\n\\n            // Special case for triangle caps (in & out) and square\\n            // We make sure the cap stop at crossing frontier\\n            if( (dash_caps.y != 1.0) && (dash_caps.y != 5.0) ) {\\n                if( (dash_stop > segment_stop )  && (abs(v_angles.y) < PI/2.0) ) {\\n                    float a = v_angles.y/2.0;\\n                    float x = (dx-segment_stop)*cos(a) - dy*sin(a);\\n                    float y = (dx-segment_stop)*sin(a) + dy*cos(a);\\n                    if( x > 0.0 ) discard;\\n                    // We transform the caps into square to avoid holes\\n                    dash_caps.y = 4.0;\\n                }\\n            }\\n        }\\n\\n        // Line cap at start\\n        if( (dx < line_start) && (dash_start < line_start) && (dash_stop > line_start) ) {\\n            d = cap( int(linecaps.x), dx-line_start, dy, t, v_linewidth);\\n        }\\n        // Line cap at stop\\n        else if( (dx > line_stop) && (dash_stop > line_stop) && (dash_start < line_stop) ) {\\n            d = cap( int(linecaps.y), dx-line_stop, dy, t, v_linewidth);\\n        }\\n        // Dash cap left - dash_type = -1, 0 or 1, but there may be roundoff errors\\n        else if( dash_type < -0.5 ) {\\n            d = cap( int(dash_caps.y), abs(u-dash_center), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash cap right\\n        else if( dash_type > 0.5 ) {\\n            d = cap( int(dash_caps.x), abs(dash_center-u), dy, t, v_linewidth);\\n            if( (dx > line_start) && (dx < line_stop) )\\n                d = max(d,d_join);\\n        }\\n        // Dash body (plain)\\n        else {// if( dash_type > -0.5 &&  dash_type < 0.5) {\\n            d = abs(dy);\\n        }\\n\\n        // Line join\\n        if( (dx > line_start) && (dx < line_stop)) {\\n            if( (dx <= segment_start) && (dash_start <= segment_start)\\n                && (dash_stop >= segment_start) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.x;\\n                float f = abs( (segment_start - dx)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( (dx > segment_stop) && (dash_start <= segment_stop)\\n                     && (dash_stop >= segment_stop) ) {\\n                d = d_join;\\n                // Antialias at outer border\\n                float angle = PI/2.+v_angles.y;\\n                float f = abs((dx - segment_stop)*cos(angle) - dy*sin(angle));\\n                d = max(f,d);\\n            }\\n            else if( dx < (segment_start - v_linewidth/2.)) {\\n                discard;\\n            }\\n            else if( dx > (segment_stop + v_linewidth/2.)) {\\n                discard;\\n            }\\n        }\\n        else if( dx < (segment_start - v_linewidth/2.)) {\\n            discard;\\n        }\\n        else if( dx > (segment_stop + v_linewidth/2.)) {\\n            discard;\\n        }\\n    }\\n\\n    // Distance to border ------------------------------------------------------\\n    d = d - t;\\n    if( d < 0.0 ) {\\n        gl_FragColor = color;\\n    } else {\\n        d /= u_antialias;\\n        gl_FragColor = vec4(color.rgb, exp(-d*d)*color.a);\\n    }\\n}\\n\"},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(93),_=e(100),n=s.__importStar(e(101)),o=s.__importStar(e(28)),a=e(88);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.view=this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(24),n=e(112),a=i.__importStar(e(101)),_=i.__importStar(e(18)),h=e(88);class l extends n.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x1[r],n=this._x2[r],a=this._y[r];isNaN(i+n+a)||!isFinite(i+n+a)?e.add_empty():e.add(t(i,n),a,s(i,n),a)}}_inner(e,t,s,i,r){e.beginPath();for(let s=0,r=t.length;s<r;s++)e.lineTo(t[s],i[s]);for(let t=s.length-1;t>=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new r.NumberArray(2*t),i=new r.NumberArray(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx1[e],i[e]=this.sy[e],s[t+e]=this.sx2[t-e-1],i[t+e]=this.sy[t-e-1];const n=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(n.add_to_selected_glyphs(this.model),n.view=this),n}scenterxy(e){return[(this.sx1[e]+this.sx2[e])/2,this.sy[e]]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends n.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.XCoordinateSpec,{field:\"x1\"}],x2:[_.XCoordinateSpec,{field:\"x2\"}],y:[_.YCoordinateSpec,{field:\"y\"}]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n      function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(94),t=e(100),n=a.__importStar(e(28));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(24),n=e(112),a=i.__importStar(e(101)),_=i.__importStar(e(18)),h=e(88);class l extends n.AreaView{_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y1[r],a=this._y2[r];isNaN(i+n+a)||!isFinite(i+n+a)?e.add_empty():e.add(i,t(n,a),i,s(n,a))}}_inner(e,t,s,i,r){e.beginPath();for(let i=0,r=s.length;i<r;i++)e.lineTo(t[i],s[i]);for(let s=i.length-1;s>=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterxy(e){return[this.sx[e],(this.sy1[e]+this.sy2[e])/2]}_hit_point(e){const t=this.sx.length,s=new r.NumberArray(2*t),i=new r.NumberArray(2*t);for(let e=0,r=t;e<r;e++)s[e]=this.sx[e],i[e]=this.sy1[e],s[t+e]=this.sx[t-e-1],i[t+e]=this.sy2[t-e-1];const n=new h.Selection;return a.point_in_poly(e.sx,e.sy,s,i)&&(n.add_to_selected_glyphs(this.model),n.view=this),n}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends n.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.XCoordinateSpec,{field:\"x\"}],y1:[_.YCoordinateSpec,{field:\"y1\"}],y2:[_.YCoordinateSpec,{field:\"y2\"}]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n      function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(81),c=t.__importStar(i(18)),o=i(88),r=i(24),_=i(86);class a extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Any],indices_map:[c.Any,{}],masked:[c.Any,null]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>this.compute_indices());const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){var i;const{source:e}=this;if(null==e)return;const s=null!==(i=e.get_length())&&void 0!==i?i:1,t=r.Indices.all_set(s);for(const i of this.filters)t.intersect(i.compute_indices(e));this.indices=t,this._indices=[...t],this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;i<this._indices.length;i++)this.indices_map[this._indices[i]]=i}convert_selection_from_subset(i){const e=i.indices.map(i=>this._indices[i]);return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_selection_to_subset(i){const e=i.indices.map(i=>this.indices_map[i]);return new o.Selection(Object.assign(Object.assign({},i.attributes),{indices:e}))}convert_indices_from_subset(i){return i.map(i=>this._indices[i])}}s.CDSView=a,a.__name__=\"CDSView\",a.init_CDSView()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),i=e(91),s=e(117),a=t.__importStar(e(18)),o=e(115),_=e(11);class l extends i.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model;let r=null,n=null;const t={v_compute(n){_.assert(null==r);const[t]=r=e.layout_provider.get_edge_coordinates(n);return t}},i={v_compute(e){_.assert(null!=r);const[,n]=r;return r=null,n}},s={v_compute(r){_.assert(null==n);const[t]=n=e.layout_provider.get_node_coordinates(r);return t}},a={v_compute(e){_.assert(null!=n);const[,r]=n;return n=null,r}},{edge_renderer:l,node_renderer:d}=this.model;l.glyph.properties.xs.internal=!0,l.glyph.properties.ys.internal=!0,d.glyph.properties.x.internal=!0,d.glyph.properties.y.internal=!0,l.glyph.xs={expr:t},l.glyph.ys={expr:i},d.glyph.x={expr:s},d.glyph.y={expr:a};const{parent:p}=this;this.edge_view=await o.build_view(l,{parent:p}),this.node_view=await o.build_view(d,{parent:p})}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>{this.edge_view.set_data(!1),this.node_view.set_data(!1),this.request_render()})}remove(){this.edge_view.remove(),this.node_view.remove(),super.remove()}_render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=l,l.__name__=\"GraphRendererView\";class d extends i.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=l,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new s.NodesOnly],inspection_policy:[a.Instance,()=>new s.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=d,d.__name__=\"GraphRenderer\",d.init_GraphRenderer()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(81),s=e(12),o=e(9),_=e(88);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;e<t.data.start.length;e++)(o.contains(d,t.data.start[e])||o.contains(d,t.data.end[e]))&&s.push(e);const i=new _.Selection;for(const e of s)i.multiline_indices[e]=[0];return i.indices=s,i}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;s.update(e,n,d);const o=t.edge_renderer.data_source.selected,_=this.get_linked_edges(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model);o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model),i=this.get_linked_edges(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.edge_view.model.data_source.setv({inspected:_},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesAndLinkedEdges=c,c.__name__=\"NodesAndLinkedEdges\";class a extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_edges(e,t)}get_linked_nodes(e,t,n){let d=[];\"selection\"==n?d=t.selected.indices:\"inspection\"==n&&(d=t.inspected.indices);const i=[];for(const e of d)i.push(t.data.start[e]),i.push(t.data.end[e]);const r=o.uniq(i).map(t=>s.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(81);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n      function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(14);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),l=e(123),_=i.__importStar(e(28));class o extends l.UpperLowerView{connect_signals(){super.connect_signals();const e=()=>this.set_data(this.model.source);this.connect(this.model.change,e),this.connect(this.model.source.streaming,e),this.connect(this.model.source.patching,e),this.connect(this.model.source.change,e)}_render(){this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,t=this._lower_sx.length;s<t;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);for(let s=this._upper_sx.length-1;s>=0;s--)e.lineTo(this._upper_sx[s],this._upper_sy[s]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let s=0,t=this._lower_sx.length;s<t;s++)e.lineTo(this._lower_sx[s],this._lower_sy[s]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke()),e.beginPath(),e.moveTo(this._upper_sx[0],this._upper_sy[0]);for(let s=0,t=this._upper_sx.length;s<t;s++)e.lineTo(this._upper_sx[s],this._upper_sy[s]);this.visuals.line.doit&&(this.visuals.line.set_value(e),e.stroke())}}t.BandView=o,o.__name__=\"BandView\";class n extends l.UpperLower{constructor(e){super(e)}static init_Band(){this.prototype.default_view=o,this.mixins([_.Line,_.Fill]),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}t.Band=n,n.__name__=\"Band\",n.init_Band()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(36),r=e(85),p=s.__importStar(e(18));class _ extends o.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,i=this.coordinates.x_scale,s=this.coordinates.y_scale,o=\"height\"==t?s:i,r=\"height\"==t?i:s,p=\"height\"==t?e.yview:e.xview,_=\"height\"==t?e.xview:e.yview;let a,n,h;a=\"data\"==this.model.properties.lower.units?o.v_compute(this._lower):p.v_compute(this._lower),n=\"data\"==this.model.properties.upper.units?o.v_compute(this._upper):p.v_compute(this._upper),h=\"data\"==this.model.properties.base.units?r.v_compute(this._base):_.v_compute(this._base);const[c,u]=\"height\"==t?[1,0]:[0,1],l=[a,h],w=[n,h];this._lower_sx=l[c],this._lower_sy=l[u],this._upper_sx=w[c],this._upper_sy=w[u]}}i.UpperLowerView=_,_.__name__=\"UpperLowerView\";class a extends o.Annotation{constructor(e){super(e)}static init_UpperLower(){this.define({lower:[p.DistanceSpec],upper:[p.DistanceSpec],base:[p.DistanceSpec],dimension:[p.Dimension,\"height\"],source:[p.Instance,()=>new r.ColumnDataSource]})}}i.UpperLower=a,a.__name__=\"UpperLower\",a.init_UpperLower()},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(1),o=t(36),n=t(15),l=e.__importStar(t(28)),a=e.__importStar(t(18)),h=t(79);s.EDGE_TOLERANCE=2.5;class r extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}_render(){if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,s=this.coordinates.y_scale,e=(t,i,s,e,o)=>{let n;return n=null!=t?this.model.screen?t:\"data\"==i?s.compute(t):e.compute(t):o,n};this.sleft=e(this.model.left,this.model.left_units,i,t.xview,t.bbox.left),this.sright=e(this.model.right,this.model.right_units,i,t.xview,t.bbox.right),this.stop=e(this.model.top,this.model.top_units,s,t.yview,t.bbox.top),this.sbottom=e(this.model.bottom,this.model.bottom_units,s,t.yview,t.bbox.bottom),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,s,e){const{ctx:o}=this.layer;o.save(),o.beginPath(),o.rect(t,e,i-t,s-e),this.visuals.fill.doit&&(this.visuals.fill.set_value(o),o.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(o),o.stroke()),o.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+s.EDGE_TOLERANCE;return new h.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&t<this.sright&&i>this.stop&&i<this.sbottom?this.model.in_cursor:null}}s.BoxAnnotationView=r,r.__name__=\"BoxAnnotationView\";class u extends o.Annotation{constructor(t){super(t)}static init_BoxAnnotation(){this.prototype.default_view=r,this.mixins([l.Line,l.Fill]),this.define({render_mode:[a.RenderMode,\"canvas\"],top:[a.Number,null],top_units:[a.SpatialUnits,\"data\"],bottom:[a.Number,null],bottom_units:[a.SpatialUnits,\"data\"],left:[a.Number,null],left_units:[a.SpatialUnits,\"data\"],right:[a.Number,null],right_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1],ew_cursor:[a.String,null],ns_cursor:[a.String,null],in_cursor:[a.String,null]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new n.Signal0(this,\"data_update\")}update({left:t,right:i,top:s,bottom:e}){this.setv({left:t,right:i,top:s,bottom:e,screen:!0},{silent:!0}),this.data_update.emit()}}s.BoxAnnotation=u,u.__name__=\"BoxAnnotation\",u.init_BoxAnnotation()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),a=t(36),s=t(126),r=t(130),n=t(132),l=t(145),_=t(156),h=t(157),m=t(158),d=o.__importStar(t(28)),c=o.__importStar(t(18)),u=o.__importStar(t(159)),g=t(9),p=t(12),f=t(8),b=t(11);class v extends a.AnnotationView{initialize(){super.initialize(),this._set_canvas_image()}connect_signals(){super.connect_signals(),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=g.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new n.LinearColorMapper({palette:i}).rgba_mapper.v_compute(g.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let n,l;switch(this.model.orientation){case\"vertical\":n=e+a+2*r,l=i+s+o+2*r;break;case\"horizontal\":n=e+a+s+o+2*r,l=i+2*r}return{width:l,height:n}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:n}=this.model;let l,_;if(f.isString(n))switch(n){case\"top_left\":l=s.start+o,_=r.start+o;break;case\"top_center\":l=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":l=s.end-o-i,_=r.start+o;break;case\"bottom_right\":l=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":l=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":l=s.start+o,_=r.end-o-e;break;case\"center_left\":l=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":l=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":l=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(f.isArray(n)&&2==n.length){const[t,i]=n;l=a.xview.compute(t),_=a.yview.compute(i)-e}else b.unreachable();return{sx:l,sy:_}}_render(){if(null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();t.translate(o.x,o.y),this._draw_image(t);const a=this.tick_info();this._draw_major_ticks(t,a),this._draw_minor_ticks(t,a),this._draw_major_labels(t,a),this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[n,l]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=n.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(n[e]+i*h),Math.round(l[e]+o*h)),t.lineTo(Math.round(n[e]-i*_),Math.round(l[e]-o*_)),t.stroke();t.restore()}_draw_minor_ticks(t,e){if(!this.visuals.minor_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[n,l]=e.coords.minor,_=this.model.minor_tick_in,h=this.model.minor_tick_out;t.save(),t.translate(s,r),this.visuals.minor_tick_line.set_value(t);for(let e=0,a=n.length;e<a;e++)t.beginPath(),t.moveTo(Math.round(n[e]+i*h),Math.round(l[e]+o*h)),t.lineTo(Math.round(n[e]-i*_),Math.round(l[e]-o*_)),t.stroke();t.restore()}_draw_major_labels(t,e){if(!this.visuals.major_label_text.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],n=this.model.label_standoff+this._tick_extent(),[l,_]=[n*i,n*o],[h,m]=e.coords.major,d=e.labels.major;this.visuals.major_label_text.set_value(t),t.save(),t.translate(s+l,r+_);for(let e=0,a=h.length;e<a;e++)t.fillText(d[e],Math.round(h[e]+i*this.model.label_standoff),Math.round(m[e]+o*this.model.label_standoff));t.restore()}_draw_title(t){this.visuals.title_text.doit&&(t.save(),this.visuals.title_text.set_value(t),t.fillText(this.model.title,0,-this.model.title_standoff),t.restore())}_get_label_extent(){const t=this.tick_info().labels.major;let e;if(g.is_empty(t))e=0;else{const{ctx:i}=this.layer;switch(i.save(),this.visuals.major_label_text.set_value(i),this.model.orientation){case\"vertical\":e=g.max(t.map(t=>i.measureText(t.toString()).width));break;case\"horizontal\":e=u.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?u.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return g.max([this.model.major_tick_out,this.model.minor_tick_out])}_computed_image_dimensions(){const t=this.plot_view.frame.bbox.height,e=this.plot_view.frame.bbox.width,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=g.max([25*this.model.color_mapper.palette.length,.3*t]),o=g.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=g.max([25*this.model.color_mapper.palette.length,.3*e]),a=g.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new m.Range1d({start:this.model.color_mapper.metrics.min,end:this.model.color_mapper.metrics.max}),target_range:new m.Range1d({start:0,end:t})},{color_mapper:i}=this.model;if(i instanceof n.LinearColorMapper)return new l.LinearScale(e);if(i instanceof n.LogColorMapper)return new h.LogScale(e);if(i instanceof n.ScanningColorMapper){const{binning:t}=i.metrics;return new _.LinearInterpolationScale(Object.assign(Object.assign({},e),{binning:t}))}b.unreachable()}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;t<o;t++)e[t]in this.model.major_label_overrides&&(i[t]=this.model.major_label_overrides[e[t]]);return i}tick_info(){const t=this._computed_image_dimensions();let e;switch(this.model.orientation){case\"vertical\":e=t.height;break;case\"horizontal\":e=t.width}const i=this._tick_coordinate_scale(e),[o,a]=this._normals(),[s,r]=[this.model.color_mapper.metrics.min,this.model.color_mapper.metrics.max],n=this.model.ticker.get_ticks(s,r,null,null,this.model.ticker.desired_num_ticks),l=n.major,_=n.minor,h=[[],[]],m=[[],[]];for(let t=0,e=l.length;t<e;t++)l[t]<s||l[t]>r||(h[o].push(l[t]),h[a].push(0));for(let t=0,e=_.length;t<e;t++)_[t]<s||_[t]>r||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],l)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=v,v.__name__=\"ColorBarView\";class w extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=v,this.mixins([[\"major_label_\",d.Text],[\"title_\",d.Text],[\"major_tick_\",d.Line],[\"minor_tick_\",d.Line],[\"border_\",d.Line],[\"bar_\",d.Line],[\"background_\",d.Fill]]),this.define({location:[c.Any,\"top_right\"],orientation:[c.Orientation,\"vertical\"],title:[c.String],title_standoff:[c.Number,2],width:[c.Any,\"auto\"],height:[c.Any,\"auto\"],scale_alpha:[c.Number,1],ticker:[c.Instance,()=>new s.BasicTicker],formatter:[c.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[c.Any,{}],color_mapper:[c.Instance],label_standoff:[c.Number,5],margin:[c.Number,30],padding:[c.Number,10],major_tick_in:[c.Number,5],major_tick_out:[c.Number,0],minor_tick_in:[c.Number,0],minor_tick_out:[c.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=w,w.__name__=\"ColorBar\",w.init_ColorBar()},\n      function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(127);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(128),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(129),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isFinite(s)&&isFinite(_)?o.range(s,_+1):[];const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n      function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(81);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(131),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toExponential(e);else for(let t=0,s=i.length;t<s;t++)r[t]=i[t].toFixed(e).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");return r}_auto_precision(i,t){const e=new Array(i.length),r=this.last_precision<=15;i:for(let s=this.last_precision;r?s<=15:s>=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;t<i.length;t++)if(e[t]==e[t-1])continue i;this.last_precision=s;break}e[0]=i[0].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\");for(let t=1;t<i.length;t++)if(e[t]=i[t].toFixed(s).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"),e[t]==e[t-1])continue i;this.last_precision=s;break}return this.last_precision}doFormat(i,t){if(0==i.length)return[];const e=this._need_sci(i),r=\"auto\"==this.precision?this._auto_precision(i,e):this.precision;return this._format_with_precision(i,e,r)}}e.BasicTickFormatter=o,o.__name__=\"BasicTickFormatter\",o.init_BasicTickFormatter()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(81);class c extends r.Model{constructor(e){super(e)}}o.TickFormatter=c,c.__name__=\"TickFormatter\"},\n      function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(133);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(138);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(139);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(140);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(135);o.ColorMapper=M.ColorMapper;var n=r(141);o.LinearColorMapper=n.LinearColorMapper;var t=r(142);o.LogColorMapper=t.LogColorMapper;var i=r(143);o.ScanningColorMapper=i.ScanningColorMapper;var c=r(144);o.EqHistColorMapper=c.EqHistColorMapper},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(134),c=r(135),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;t<l;t++)if(e[t]!==n[t])return!1;return!0}t._cat_equals=u,t.cat_v_compute=function(e,n,t,c,f,o,r){for(let _=0,g=e.length;_<g;_++){let g,s,d=e[_];i.isString(d)?g=l.index_of(n,d):(null!=f?d=null!=o?d.slice(f,o):d.slice(f):null!=o&&(d=d.slice(0,o)),g=1==d.length?l.index_of(n,d[0]):l.find_index(n,e=>u(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(136),_=n.__importStar(t(18)),i=t(8),l=t(22),c=t(32);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;r<n;r++)e[r]=a(t[r]);return e}function p(t){if(c.is_little_endian){const e=new DataView(t.buffer);for(let r=0,n=t.length;r<n;r++)e.setUint32(4*r,t[r])}return new Uint8Array(t.buffer)}r._convert_color=a,r._convert_palette=s,r._uint32_to_rgba=p;class u extends o.Mapper{constructor(t){super(t)}static init_ColorMapper(){this.define({palette:[_.Any],nan_color:[_.Color,\"gray\"]})}v_compute(t){const e=new Array(t.length);return this._v_compute(t,e,this.palette,this._colors(t=>t)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(137);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(81);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n      function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(134),i=r(136),c=t.__importStar(r(18));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n      function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(134),s=t(136),i=r.__importStar(t(18));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(135),s=t(90),l=t(9),i=t(8);class c extends n.ColorMapper{constructor(t){super(t),this._scan_data=null}static init_ContinuousColorMapper(){this.define(({Number:t,String:o,Null:e,Ref:n,Color:l,Or:i,Tuple:c,Array:a})=>({high:[i(t,e),null],low:[i(t,e),null],high_color:[i(l,e),null],low_color:[i(l,e),null],domain:[a(c(n(s.GlyphRenderer),i(o,a(o)))),[]]}))}connect_signals(){super.connect_signals();const t=()=>{for(const[t]of this.domain)this.connect(t.view.change,()=>this.update_data()),this.connect(t.data_source.selected.change,()=>this.update_data())};this.connect(this.properties.domain.change,()=>t()),t()}update_data(){const{domain:t,palette:o}=this,e=[...this._collect(t)];this._scan_data=this.scan(e,o.length),this.change.emit()}get metrics(){return null==this._scan_data&&this.update_data(),this._scan_data}*_collect(t){for(const[o,e]of t)for(const t of i.isArray(e)?e:[e]){let e=o.data_source.get_column(t);e=o.view.indices.select(e);const n=o.view.masked,s=o.data_source.selected.indices;let c;if(null!=n&&s.length>0?c=l.intersection([...n],s):null!=n?c=[...n]:s.length>0&&(c=s),null!=c&&(e=l.map(c,t=>e[t])),e.length>0&&!i.isNumber(e[0]))for(const t of e)yield*t;else yield*e}}_v_compute(t,o,e,n){const{nan_color:s}=n;let{low_color:i,high_color:c}=n;null==i&&(i=e[0]),null==c&&(c=e[e.length-1]);const{domain:a}=this,r=l.is_empty(a)?t:[...this._collect(a)];this._scan_data=this.scan(r,e.length);for(let n=0,l=t.length;n<l;n++){const l=t[n];isNaN(l)?o[n]=s:o[n]=this.cmap(l,e,i,c,this._scan_data)}}_colors(t){return Object.assign(Object.assign({},super._colors(t)),{low_color:null!=this.low_color?t(this.low_color):void 0,high_color:null!=this.high_color?t(this.high_color):void 0})}}e.ContinuousColorMapper=c,c.__name__=\"ContinuousColorMapper\",c.init_ContinuousColorMapper()},\n      function _(n,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=n(140),t=n(12);class a extends e.ContinuousColorMapper{constructor(n){super(n)}scan(n,r){const o=null!=this.low?this.low:t.min(n),e=null!=this.high?this.high:t.max(n);return{max:e,min:o,norm_factor:1/(e-o),normed_interval:1/r}}cmap(n,r,o,e,t){const a=r.length-1;if(n==t.max)return r[a];const i=(n-t.min)*t.norm_factor,l=Math.floor(i/t.normed_interval);return l<0?o:l>a?e:r[l]}}o.LinearColorMapper=a,a.__name__=\"LinearColorMapper\"},\n      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(140),r=o(12);class l extends e.ContinuousColorMapper{constructor(o){super(o)}scan(o,t){const n=null!=this.low?this.low:r.min(o),e=null!=this.high?this.high:r.max(o);return{max:e,min:n,scale:t/(Math.log(e)-Math.log(n))}}cmap(o,t,n,e,r){const l=t.length-1;if(o>r.max)return e;if(o==r.max)return t[l];if(o<r.min)return n;const a=Math.log(o)-Math.log(r.min);let s=Math.floor(a*r.scale);return s>l&&(s=l),t[s]}}n.LogColorMapper=l,l.__name__=\"LogColorMapper\"},\n      function _(n,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=n(140),o=n(12);class t extends i.ContinuousColorMapper{constructor(n){super(n)}cmap(n,e,r,i,t){if(n<t.binning[0])return r;if(n>t.binning[t.binning.length-1])return i;return e[o.left_edge_index(n,t.binning)]}}r.ScanningColorMapper=t,t.__name__=\"ScanningColorMapper\"},\n      function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=n(1),o=n(143),r=n(12),s=n(9),a=i.__importStar(n(18)),l=n(19);class p extends o.ScanningColorMapper{constructor(n){super(n)}static init_EqHistColorMapper(){this.define({bins:[a.Int,65536]})}scan(n,t){const e=null!=this.low?this.low:r.min(n),i=null!=this.high?this.high:r.max(n),o=this.bins,a=s.linspace(e,i,o+1),p=r.bin_counts(n,a),c=new Array(o);for(let n=0,t=a.length;n<t-1;n++){const t=a[n],e=a[n+1];c[n]=(t+e)/2}const h=s.cumsum(p),u=h[h.length-1],g=r.map(h,n=>n/u);let m=t-1,_=[],M=0,f=2*t;for(;m!=t&&M<4&&0!=m;){const n=f/m;if(n>1e3)break;f=Math.round(Math.max(t*n,t));const e=s.range(0,f),i=r.map(g,n=>n*(f-1));_=r.interpolate(e,i,c);m=s.uniq(_).length-1,M++}if(0==m){_=[e,i];for(let n=0;n<t-1;n++)_.push(i)}else _=_.slice(_.length-t-1),m!=t&&l.logger.warn(\"EqHistColorMapper warning: Histogram equalization did not converge.\");return{min:e,max:i,binning:_}}}e.EqHistColorMapper=p,p.__name__=\"EqHistColorMapper\",p.init_EqHistColorMapper()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(1),i=e(146),_=r.__importStar(e(18));class a extends i.ContinuousScale{constructor(e){super(e)}static init_LinearScale(){this.internal({scan_result:[_.Any]})}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=a,a.__name__=\"LinearScale\",a.init_LinearScale()},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(147);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(148),s=t(24),i=n.__importStar(t(18));class a extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[i.Any],target_range:[i.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new s.NumberArray(t.length);for(let _=0;_<t.length;_++)n[_]=e*t[_]+r;return n}_linear_invert(t){const[e,r]=this._linear_compute_state();return(t-r)/e}_linear_v_invert(t){const[e,r]=this._linear_compute_state(),n=new s.NumberArray(t.length);for(let _=0;_<t.length;_++)n[_]=(t[_]-r)/e;return n}_linear_compute_state(){const t=this.source_range.start,e=this.source_range.end,r=this.target_range.start,n=(this.target_range.end-r)/(e-t);return[n,-n*t+r]}}r.Scale=a,a.__name__=\"Scale\",a.init_Scale()},\n      function _(r,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=r(149);t.CustomJSTransform=e.CustomJSTransform;var a=r(150);t.Dodge=a.Dodge;var n=r(152);t.Interpolator=n.Interpolator;var p=r(153);t.Jitter=p.Jitter;var l=r(154);t.LinearInterpolator=l.LinearInterpolator;var v=r(155);t.StepInterpolator=v.StepInterpolator;var s=r(137);t.Transform=s.Transform},\n      function _(t,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),e=t(137),a=n.__importStar(t(18)),o=t(13),u=t(29);class i extends e.Transform{constructor(t){super(t)}static init_CustomJSTransform(){this.define({args:[a.Any,{}],func:[a.String,\"\"],v_func:[a.String,\"\"]})}get names(){return o.keys(this.args)}get values(){return o.values(this.args)}_make_transform(t,r){return new Function(...this.names,t,u.use_strict(r))}get scalar_transform(){return this._make_transform(\"x\",this.func)}get vector_transform(){return this._make_transform(\"xs\",this.v_func)}compute(t){return this.scalar_transform(...this.values,t)}v_compute(t){return this.vector_transform(...this.values,t)}}s.CustomJSTransform=i,i.__name__=\"CustomJSTransform\",i.init_CustomJSTransform()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(1),r=e(151),_=o.__importStar(e(18));class i extends r.RangeTransform{constructor(e){super(e)}static init_Dodge(){this.define({value:[_.Number,0]})}_compute(e){return e+this.value}}n.Dodge=i,i.__name__=\"Dodge\",i.init_Dodge()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(1),s=e(137),a=e(98),i=r.__importStar(e(18)),o=e(24),c=e(8);class u extends s.Transform{constructor(e){super(e)}static init_RangeTransform(){this.define({range:[i.Instance]})}v_compute(e){let t;if(this.range instanceof a.FactorRange)t=this.range.v_synthetic(e);else{if(!c.isArrayableOf(e,c.isNumber))throw new Error(\"unexpected\");t=e}const n=new o.NumberArray(t.length);for(let e=0;e<t.length;e++){const r=t[e];n[e]=this._compute(r)}return n}compute(e){if(this.range instanceof a.FactorRange)return this._compute(this.range.synthetic(e));if(c.isNumber(e))return this._compute(e);throw new Error(\"unexpected\")}}n.RangeTransform=u,u.__name__=\"RangeTransform\",u.init_RangeTransform()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(137),s=n.__importStar(t(18)),i=t(24),a=t(9),h=t(8);class d extends o.Transform{constructor(t){super(t),this._sorted_dirty=!0}static init_Interpolator(){this.define({x:[s.Any],y:[s.Any],data:[s.Any],clip:[s.Boolean,!0]})}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._sorted_dirty=!0)}v_compute(t){const e=new i.NumberArray(t.length);for(let r=0;r<t.length;r++){const n=t[r];e[r]=this.compute(n)}return e}sort(t=!1){if(!this._sorted_dirty)return;let e,r;if(h.isString(this.x)&&h.isString(this.y)&&null!=this.data){const t=this.data.columns();if(!a.includes(t,this.x))throw new Error(\"The x parameter does not correspond to a valid column name defined in the data parameter\");if(!a.includes(t,this.y))throw new Error(\"The y parameter does not correspond to a valid column name defined in the data parameter\");e=this.data.get_column(this.x),r=this.data.get_column(this.y)}else{if(!h.isArray(this.x)||!h.isArray(this.y))throw new Error(\"parameters 'x' and 'y' must be both either string fields or arrays\");e=this.x,r=this.y}if(e.length!==r.length)throw new Error(\"The length for x and y do not match\");if(e.length<2)throw new Error(\"x and y must have at least two elements to support interpolation\");const n=e.length,o=new Uint32Array(n);for(let t=0;t<n;t++)o[t]=t;const s=t?-1:1;o.sort((t,r)=>s*(e[t]-e[r])),this._x_sorted=new i.NumberArray(n),this._y_sorted=new i.NumberArray(n);for(let t=0;t<n;t++)this._x_sorted[t]=e[o[t]],this._y_sorted[t]=r[o[t]];this._sorted_dirty=!1}}r.Interpolator=d,d.__name__=\"Interpolator\",d.init_Interpolator()},\n      function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),s=t(151),n=r.__importStar(t(18)),u=r.__importStar(t(10));class o extends s.RangeTransform{constructor(t){super(t)}static init_Jitter(){this.define({mean:[n.Number,0],width:[n.Number,1],distribution:[n.Distribution,\"uniform\"]})}v_compute(t){return null!=this.previous_values&&this.previous_values.length==t.length||(this.previous_values=super.v_compute(t)),this.previous_values}_compute(t){switch(this.distribution){case\"uniform\":return t+this.mean+(u.random()-.5)*this.width;case\"normal\":return t+u.rnorm(this.mean,this.width)}}}e.Jitter=o,o.__name__=\"Jitter\",o.init_Jitter()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const _=t(9),r=t(152);class o extends r.Interpolator{constructor(t){super(t)}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>s<t),e=this._x_sorted[s],r=this._x_sorted[s+1],o=this._y_sorted[s],i=this._y_sorted[s+1];return o+(t-e)/(r-e)*(i-o)}}e.LinearInterpolator=o,o.__name__=\"LinearInterpolator\"},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=t(1),o=t(152),_=s.__importStar(t(18)),i=t(9);class n extends o.Interpolator{constructor(t){super(t)}static init_StepInterpolator(){this.define({mode:[_.StepMode,\"after\"]})}compute(t){if(this.sort(!1),this.clip){if(t<this._x_sorted[0]||t>this._x_sorted[this._x_sorted.length-1])return NaN}else{if(t<this._x_sorted[0])return this._y_sorted[0];if(t>this._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(1),a=e(147),i=e(24),s=e(9),o=e(12),c=r.__importStar(e(18));class _ extends a.Scale{constructor(e){super(e)}static init_LinearInterpolationScale(){this.internal({binning:[c.Array]})}compute(e){return e}v_compute(e){const t=o.norm(e,this.source_range.start,this.source_range.end),n=s.linspace(0,1,this.binning.length),r=o.interpolate(t,n,this.binning),a=o.norm(r,this.source_range.start,this.source_range.end),c=this.target_range.end-this.target_range.start,_=o.map(a,e=>this.target_range.start+e*c);return new i.NumberArray(_)}invert(e){return e}v_invert(e){return new i.NumberArray(e)}}n.LinearInterpolationScale=_,_.__name__=\"LinearInterpolationScale\",_.init_LinearInterpolationScale()},\n      function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(146),r=t(24);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,r]=this._compute_state();let s;if(0==a)s=0;else{const n=(Math.log(t)-r)/a;s=isFinite(n)?n*e+o:NaN}return s}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new r.NumberArray(t.length);if(0==a)for(let e=0;e<t.length;e++)n[e]=0;else for(let r=0;r<t.length;r++){const l=(Math.log(t[r])-s)/a;let c;c=isFinite(l)?l*e+o:NaN,n[r]=c}return n}invert(t){const[e,o,a,r]=this._compute_state(),s=(t-o)/e;return Math.exp(a*s+r)}v_invert(t){const[e,o,a,s]=this._compute_state(),n=new r.NumberArray(t.length);for(let r=0;r<t.length;r++){const l=(t[r]-o)/e;n[r]=Math.exp(a*l+s)}return n}_get_safe_factor(t,e){let o=t<0?0:t,a=e<0?0:e;if(o==a)if(0==o)[o,a]=[1,10];else{const t=Math.log(o)/Math.log(10);o=10**Math.floor(t),a=Math.ceil(t)!=Math.floor(t)?10**Math.ceil(t):10**(Math.ceil(t)+1)}return[o,a]}_compute_state(){const t=this.source_range.start,e=this.source_range.end,o=this.target_range.start,a=this.target_range.end-o,[r,s]=this._get_safe_factor(t,e);let n,l;0==r?(n=Math.log(s),l=0):(n=Math.log(s)-Math.log(r),l=Math.log(r));return[a,o,n,l]}}o.LogScale=s,s.__name__=\"LogScale\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(99),r=i.__importStar(t(18));class a extends n.Range{constructor(t){super(t)}static init_Range1d(){this.define({start:[r.Number,0],end:[r.Number,1],reset_start:[r.Number],reset_end:[r.Number]})}_set_auto_bounds(){if(\"auto\"==this.bounds){const t=Math.min(this.reset_start,this.reset_end),e=Math.max(this.reset_start,this.reset_end);this.setv({bounds:[t,e]},{silent:!0})}}initialize(){super.initialize(),null==this.reset_start&&(this.reset_start=this.start),null==this.reset_end&&(this.reset_end=this.end),this._set_auto_bounds()}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}reset(){this._set_auto_bounds(),this.start!=this.reset_start||this.end!=this.reset_end?this.setv({start:this.reset_start,end:this.reset_end}):this.change.emit()}}s.Range1d=a,a.__name__=\"Range1d\",a.init_Range1d()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(72),i=new Map;n.measure_font=function(t){const e=i.get(t);if(null!=e)return e;const n=o.span({style:{font:t}},\"Hg\"),l=o.div({style:{display:\"inline-block\",width:\"1px\",height:\"0px\"}}),s=o.div({},n,l);document.body.appendChild(s);try{l.style.verticalAlign=\"baseline\";const e=o.offset(l).top-o.offset(n).top;l.style.verticalAlign=\"bottom\";const d=o.offset(l).top-o.offset(n).top,c={height:d,ascent:e,descent:d-e};return i.set(t,c),c}finally{document.body.removeChild(s)}};const l=new Map;n.measure_text=function(t,e){let n=l.get(e);if(null!=n){const e=n.get(t);if(null!=e)return e}else n=new Map,l.set(e,n);const i=o.div({style:{display:\"inline-block\",\"white-space\":\"nowrap\",font:e}},t);document.body.appendChild(i);try{const{width:e,height:o}=i.getBoundingClientRect();return n.set(t,{width:e,height:o}),{width:e,height:o}}finally{document.body.removeChild(i)}}},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(161),l=s.__importStar(t(28)),n=s.__importStar(t(18));class o extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.warm_cache()}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:i}=t.measureText(this.model.text);return{width:e,height:i}}_render(){let t;switch(this.model.angle_units){case\"rad\":t=-this.model.angle;break;case\"deg\":t=-this.model.angle*Math.PI/180}const e=null!=this.panel?this.panel:this.plot_view.frame,i=this.coordinates.x_scale,s=this.coordinates.y_scale;let a=\"data\"==this.model.x_units?i.compute(this.model.x):e.xview.compute(this.model.x),l=\"data\"==this.model.y_units?s.compute(this.model.y):e.yview.compute(this.model.y);a+=this.model.x_offset,l-=this.model.y_offset;(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,this.model.text,a,l,t)}}i.LabelView=o,o.__name__=\"LabelView\";class _ extends a.TextAnnotation{constructor(t){super(t)}static init_Label(){this.prototype.default_view=o,this.mixins([l.Text,[\"border_\",l.Line],[\"background_\",l.Fill]]),this.define({x:[n.Number],x_units:[n.SpatialUnits,\"data\"],y:[n.Number],y_units:[n.SpatialUnits,\"data\"],text:[n.String],angle:[n.Angle,0],angle_units:[n.AngleUnits,\"rad\"],x_offset:[n.Number,0],y_offset:[n.Number,0]}),this.override({background_fill_color:null,border_line_color:null})}}i.Label=_,_.__name__=\"Label\",_.init_Label()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),l=e(36),a=e(72),n=i.__importStar(e(18)),o=e(159),r=e(11);class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),\"css\"==this.model.render_mode&&(this.el=a.div(),this.plot_view.canvas_view.add_overlay(this.el))}remove(){null!=this.el&&a.remove(this.el),super.remove()}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?this.connect(this.model.change,()=>this.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}render(){this.model.visible||\"css\"!=this.model.render_mode||a.undisplay(this.el),super.render()}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){const{el:n}=this;r.assert(null!=n),a.undisplay(n),this.visuals.text.set_value(e);const o=this._calculate_bounding_box_dimensions(e,t),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),n.style.position=\"absolute\",n.style.left=s+o[0]+\"px\",n.style.top=i+o[1]+\"px\",n.style.color=\"\"+this.visuals.text.text_color.value(),n.style.opacity=\"\"+this.visuals.text.text_alpha.value(),n.style.font=\"\"+this.visuals.text.font_value(),n.style.lineHeight=\"normal\",l&&(n.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(n.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(n.style.borderStyle=\"\"+_,n.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",n.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.textContent=t,a.display(n)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class u extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=u,u.__name__=\"TextAnnotation\",u.init_TextAnnotation()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),o=t(161),l=t(85),a=i.__importStar(t(28)),n=t(72),r=i.__importStar(t(18));class _ extends o.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t<e;t++){const t=n.div({style:{display:\"none\"}});this.el.appendChild(t)}}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.coordinates.x_scale,e=this.coordinates.y_scale,s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}_render(){const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let o=0,l=this._text.length;o<l;o++)t(e,o,this._text[o],s[o]+this._x_offset[o],i[o]-this._y_offset[o],this._angle[o])}_get_size(){const{ctx:t}=this.layer;this.visuals.text.set_value(t);const{width:e,ascent:s}=t.measureText(this._text[0]);return{width:e,height:s}}_v_canvas_text(t,e,s,i,o,l){this.visuals.text.set_vectorize(t,e);const a=this._calculate_bounding_box_dimensions(t,s);t.save(),t.beginPath(),t.translate(i,o),t.rotate(l),t.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_vectorize(t,e),t.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_vectorize(t,e),t.stroke()),this.visuals.text.doit&&(this.visuals.text.set_vectorize(t,e),t.fillText(s,0,0)),t.restore()}_v_css_text(t,e,s,i,o,l){const a=this.el.children[e];a.textContent=s,this.visuals.text.set_vectorize(t,e);const r=this._calculate_bounding_box_dimensions(t,s),_=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_vectorize(t,e),this.visuals.background_fill.set_vectorize(t,e),a.style.position=\"absolute\",a.style.left=i+r[0]+\"px\",a.style.top=o+r[1]+\"px\",a.style.color=\"\"+this.visuals.text.text_color.value(),a.style.opacity=\"\"+this.visuals.text.text_alpha.value(),a.style.font=\"\"+this.visuals.text.font_value(),a.style.lineHeight=\"normal\",l&&(a.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(a.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(a.style.borderStyle=\"\"+_,a.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",a.style.borderColor=\"\"+this.visuals.border_line.color_value()),n.display(a)}}s.LabelSetView=_,_.__name__=\"LabelSetView\";class h extends o.TextAnnotation{constructor(t){super(t)}static init_LabelSet(){this.prototype.default_view=_,this.mixins([a.TextVector,[\"border_\",a.LineVector],[\"background_\",a.FillVector]]),this.define({x:[r.NumberSpec],y:[r.NumberSpec],x_units:[r.SpatialUnits,\"data\"],y_units:[r.SpatialUnits,\"data\"],text:[r.StringSpec,{field:\"text\"}],angle:[r.AngleSpec,0],x_offset:[r.NumberSpec,{value:0}],y_offset:[r.NumberSpec,{value:0}],source:[r.Instance,()=>new l.ColumnDataSource]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(36),n=s.__importStar(t(28)),h=s.__importStar(t(18)),a=t(15),_=t(159),o=t(79),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([_.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?_.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,w]=x.bbox.ranges,{location:v}=this.model;let y,k;if(d.isString(v))switch(v){case\"top_left\":y=p.start+a,k=w.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=w.start+a;break;case\"top_right\":y=p.end-a-f,k=w.start+a;break;case\"bottom_right\":y=p.end-a-f,k=w.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=w.end-a-u;break;case\"bottom_left\":y=p.start+a,k=w.end-a-u;break;case\"center_left\":y=p.start+a,k=(w.end+w.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(w.end+w.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(w.end+w.start)/2-u/2}else if(d.isArray(v)&&2==v.length){const[t,e]=v;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new o.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const _=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=_.x+a,m=_.y+i+this.title_height;let b,u;[b,u]=r?[_.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height];if(new o.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}_render(){if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,_=l;const o=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+_+this.title_height,u=c+i,f=b+s;o?_+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=o?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(81),i=e(86),s=e(165),o=t.__importStar(e(18)),_=e(19),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[o.StringSpec,null],renderers:[o.Array,[]],index:[o.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{var e;return null===(e=this.legend)||void 0===e?void 0:e.item_change.emit()});this._check_data_sources_on_renderers()||_.logger.error(\"Non matching data sources on legend item renderers\");this._check_field_label_on_data_source()||_.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(36),o=n.__importStar(t(28)),l=t(15),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}_render(){const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,o=t.length;s<o;s++){let o,l;if(\"screen\"!=this.model.xs_units)throw new Error(\"not implemented\");if(o=this.model.screen?t[s]:i.xview.compute(t[s]),\"screen\"!=this.model.ys_units)throw new Error(\"not implemented\");l=this.model.screen?e[s]:i.yview.compute(e[s]),0==s?(n.beginPath(),n.moveTo(o,l)):n.lineTo(o,l)}n.closePath(),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill())}}i.PolyAnnotationView=r,r.__name__=\"PolyAnnotationView\";class _ extends s.Annotation{constructor(t){super(t)}static init_PolyAnnotation(){this.prototype.default_view=r,this.mixins([o.Line,o.Fill]),this.define({xs:[a.Array,[]],xs_units:[a.SpatialUnits,\"data\"],ys:[a.Array,[]],ys_units:[a.SpatialUnits,\"data\"]}),this.internal({screen:[a.Boolean,!1]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}initialize(){super.initialize(),this.data_update=new l.Signal0(this,\"data_update\")}update({xs:t,ys:e}){this.setv({xs:t,ys:e,screen:!0},{silent:!0}),this.data_update.emit()}}i.PolyAnnotation=_,_.__name__=\"PolyAnnotation\",_.init_PolyAnnotation()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(36),s=n.__importStar(e(28)),l=n.__importStar(e(18));class r extends o.AnnotationView{initialize(){super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render())}_render(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=this.coordinates.x_scale,o=this.coordinates.y_scale,s=i.bbox.top,l=s+i.bbox.height,r=(o.invert(s)-t)/e,_=(o.invert(l)-t)/e,a=n.compute(r),c=n.compute(_),{ctx:p}=this.layer;p.save(),p.beginPath(),this.visuals.line.set_value(p),p.moveTo(a,s),p.lineTo(c,l),p.stroke(),p.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class _ extends o.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(s.Line),this.define({gradient:[l.Number,null],y_intercept:[l.Number,null]}),this.override({line_color:\"black\"})}}i.Slope=_,_.__name__=\"Slope\",_.init_Slope()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(36),s=n.__importStar(e(28)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}_render(){const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=this.coordinates.x_scale,n=this.coordinates.y_scale,o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t.bbox.left,r=t.bbox.width,s=this.model.properties.line_width.value()):(l=t.bbox.top,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t.bbox.height);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=t(1),s=t(161),a=t(74),n=l.__importStar(t(28)),o=l.__importStar(t(18));class r extends s.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new a.Text(this.model)}_get_location(){const t=this.panel,e=this.model.offset;let i,l;const{bbox:s}=t;switch(t.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=s.top+5;break;case\"middle\":l=s.vcenter;break;case\"bottom\":l=s.bottom-5}switch(this.model.align){case\"left\":i=s.left+e;break;case\"center\":i=s.hcenter;break;case\"right\":i=s.right-e}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=s.left-5;break;case\"middle\":i=s.hcenter;break;case\"bottom\":i=s.right+5}switch(this.model.align){case\"left\":l=s.bottom-e;break;case\"center\":l=s.vcenter;break;case\"right\":l=s.top+e}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=s.right-5;break;case\"middle\":i=s.hcenter;break;case\"bottom\":i=s.left+5}switch(this.model.align){case\"left\":l=s.top+e;break;case\"center\":l=s.vcenter;break;case\"right\":l=s.bottom-e}}return[i,l]}_render(){const{text:t}=this.model;if(null==t||0==t.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[e,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,t,e,i,l)}_get_size(){const{text:t}=this.model;if(null==t||0==t.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:e,ascent:i}=this.layer.ctx.measureText(t);return{width:e,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=r,r.__name__=\"TitleView\";class c extends s.TextAnnotation{constructor(t){super(t)}static init_Title(){this.prototype.default_view=r,this.mixins([[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({text:[o.String],text_font:[o.Font,\"helvetica\"],text_font_size:[o.StringSpec,\"13px\"],text_font_style:[o.FontStyle,\"bold\"],text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_line_height:[o.Number,1],vertical_align:[o.VerticalAlign,\"bottom\"],align:[o.TextAlign,\"left\"],offset:[o.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[o.TextAlign,\"left\"],text_baseline:[o.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(36),s=e(115),a=e(72),n=e(79),r=o.__importStar(e(18));class _ extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0,this._invalidate_toolbar=!0,this._previous_bbox=new n.BBox}initialize(){super.initialize(),this.el=a.div(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),a.remove(this.el),super.remove()}render(){this.model.visible||a.undisplay(this.el),super.render()}_render(){const{bbox:e}=this.panel;this._previous_bbox.equals(e)||(a.position(this.el,e),this._previous_bbox=e),this._invalidate_toolbar&&(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),this._invalidate_toolbar=!1),a.display(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=_,_.__name__=\"ToolbarPanelView\";class h extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=_,this.define({toolbar:[r.Instance]})}}t.ToolbarPanel=h,h.__name__=\"ToolbarPanel\",h.init_ToolbarPanel()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(36),o=t(72),n=s.__importStar(t(18)),a=t(172),h=t(173),r=s.__importDefault(t(174));class c extends l.AnnotationView{initialize(){super.initialize(),this.el=o.div({class:a.bk_tooltip}),o.undisplay(this.el),this.plot_view.canvas_view.add_overlay(this.el)}remove(){o.remove(this.el),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.content.change,()=>this.render()),this.connect(this.model.properties.position.change,()=>this._reposition())}styles(){return[...super.styles(),r.default]}render(){this.model.visible||o.undisplay(this.el),super.render()}_render(){const{content:t}=this.model;null!=t?(o.empty(this.el),o.classes(this.el).toggle(a.bk_tooltip_custom,this.model.custom),this.el.appendChild(t),this.model.show_arrow&&this.el.classList.add(a.bk_tooltip_arrow)):o.undisplay(this.el)}_reposition(){const{position:t}=this.model;if(null==t)return void o.undisplay(this.el);const[e,i]=t,s=(()=>{const t=this.parent.layout.bbox.relativize(),{attachment:s}=this.model;switch(s){case\"horizontal\":return e<t.hcenter?\"right\":\"left\";case\"vertical\":return i<t.vcenter?\"below\":\"above\";default:return s}})();let l;this.el.classList.remove(h.bk_right),this.el.classList.remove(h.bk_left),this.el.classList.remove(h.bk_above),this.el.classList.remove(h.bk_below),o.display(this.el);let n=null,a=null;switch(s){case\"right\":this.el.classList.add(h.bk_left),n=e+(this.el.offsetWidth-this.el.clientWidth)+10,l=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(h.bk_right),a=this.plot_view.layout.bbox.width-e+10,l=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(h.bk_above),l=i+(this.el.offsetHeight-this.el.clientHeight)+10,n=Math.round(e-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(h.bk_below),l=i-this.el.offsetHeight-10,n=Math.round(e-this.el.offsetWidth/2)}this.el.style.top=l+\"px\",this.el.style.left=null!=n?n+\"px\":\"auto\",this.el.style.right=null!=a?a+\"px\":\"auto\"}}i.TooltipView=c,c.__name__=\"TooltipView\";class d extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=c,this.define({attachment:[n.TooltipAttachment,\"horizontal\"],inner_only:[n.Boolean,!0],show_arrow:[n.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({position:[n.Any,null],content:[n.Any,()=>o.div()],custom:[n.Any]})}clear(){this.position=null}}i.Tooltip=d,d.__name__=\"Tooltip\",d.init_Tooltip()},\n      function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n      function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n      function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n  /* Same border color used everywhere */\\n  /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n  font-weight: 300;\\n  font-size: 12px;\\n  position: absolute;\\n  padding: 5px;\\n  border: 1px solid #e5e5e5;\\n  color: #2f2f2f;\\n  background-color: white;\\n  pointer-events: none;\\n  opacity: 0.95;\\n  z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n  /* gives space when multiple elements are being hovered over */\\n  margin-top: 5px;\\n  border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n  left: -10px;\\n  border-right-width: 10px;\\n  border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n  position: absolute;\\n  margin: -7px 0 0 0;\\n  top: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 7px 0 7px 0;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n  right: -10px;\\n  border-left-width: 10px;\\n  border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  top: -10px;\\n  border-bottom-width: 10px;\\n  border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n  position: absolute;\\n  margin: 0 0 0 -7px;\\n  left: 50%;\\n  width: 0;\\n  height: 0;\\n  border-style: solid;\\n  border-width: 0 7px 0 7px;\\n  border-color: transparent;\\n  content: \" \";\\n  display: block;\\n  bottom: -10px;\\n  border-top-width: 10px;\\n  border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n  text-align: right;\\n  color: #26aae1;\\n  /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n  color: default;\\n  /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n  width: 12px;\\n  height: 12px;\\n  margin-left: 5px;\\n  margin-right: 5px;\\n  outline: #dddddd solid 1px;\\n  display: inline-block;\\n}\\n'},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(123),o=e(84),h=e(28),n=i.__importStar(e(18));class l extends r.UpperLowerView{connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}_render(){this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let s=0,t=this._lower_sx.length;s<t;s++)this.visuals.line.set_vectorize(e,s),e.beginPath(),e.moveTo(this._lower_sx[s],this._lower_sy[s]),e.lineTo(this._upper_sx[s],this._upper_sy[s]),e.stroke();const s=\"height\"==this.model.dimension?0:Math.PI/2;if(null!=this.model.lower_head)for(let t=0,i=this._lower_sx.length;t<i;t++)e.save(),e.translate(this._lower_sx[t],this._lower_sy[t]),e.rotate(s+Math.PI),this.model.lower_head.render(e,t),e.restore();if(null!=this.model.upper_head)for(let t=0,i=this._upper_sx.length;t<i;t++)e.save(),e.translate(this._upper_sx[t],this._upper_sy[t]),e.rotate(s),this.model.upper_head.render(e,t),e.restore()}}t.WhiskerView=l,l.__name__=\"WhiskerView\";class _ extends r.UpperLower{constructor(e){super(e)}static init_Whisker(){this.prototype.default_view=l,this.mixins(h.LineVector),this.define({lower_head:[n.Instance,()=>new o.TeeHead({level:\"underlay\",size:10})],upper_head:[n.Instance,()=>new o.TeeHead({level:\"underlay\",size:10})]}),this.override({level:\"underlay\"})}}t.Whisker=_,_.__name__=\"Whisker\",_.init_Whisker()},\n      function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(177);e.Axis=r.Axis;var s=i(179);e.CategoricalAxis=s.CategoricalAxis;var x=i(182);e.ContinuousAxis=x.ContinuousAxis;var A=i(183);e.DatetimeAxis=A.DatetimeAxis;var o=i(184);e.LinearAxis=o.LinearAxis;var t=i(197);e.LogAxis=t.LogAxis;var n=i(200);e.MercatorAxis=n.MercatorAxis},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(178),l=s.__importStar(t(28)),n=s.__importStar(t(18)),o=t(9),r=t(8),_=t(98),{abs:h,min:c,max:d}=Math;class m extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}get is_renderable(){const[t,e]=this.ranges;return t.is_valid&&e.is_valid}_render(){var t;if(!this.is_renderable)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},{tick_coords:i}=this,s=this.layer.ctx;s.save(),this._draw_rule(s,e),this._draw_major_ticks(s,e,i),this._draw_minor_ticks(s,e,i),this._draw_major_labels(s,e,i),this._draw_axis_label(s,e,i),null===(t=this._paint)||void 0===t||t.call(this,s,e,i),s.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location&&this.is_renderable){const t=this._get_size();return{width:0,height:Math.round(t)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(t,e){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.coordinates.map_to_screen(i,s),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(t),t.beginPath(),t.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let e=1;e<a.length;e++){const i=Math.round(a[e]+n*r),s=Math.round(l[e]+o*_);t.lineTo(i,s)}t.stroke()}_draw_major_ticks(t,e,i){const s=this.model.major_tick_in,a=this.model.major_tick_out,l=this.visuals.major_tick_line;this._draw_ticks(t,i.major,s,a,l)}_draw_minor_ticks(t,e,i){const s=this.model.minor_tick_in,a=this.model.minor_tick_out,l=this.visuals.minor_tick_line;this._draw_ticks(t,i.minor,s,a,l)}_draw_major_labels(t,e,i){const s=i.major,a=this.compute_labels(s[this.dimension]),l=this.model.major_label_orientation,n=e.tick+this.model.major_label_standoff,o=this.visuals.major_label_text;this._draw_oriented_labels(t,a,s,l,this.panel.side,n,o)}_draw_axis_label(t,e,i){if(null==this.model.axis_label||0==this.model.axis_label.length||null!=this.model.fixed_location)return;let s,a;const{bbox:l}=this.panel;switch(this.panel.side){case\"above\":s=l.hcenter,a=l.bottom;break;case\"below\":s=l.hcenter,a=l.top;break;case\"left\":s=l.right,a=l.vcenter;break;case\"right\":s=l.left,a=l.vcenter;break;default:throw new Error(\"unknown side: \"+this.panel.side)}const n=[[s],[a]],r=e.tick+o.sum(e.tick_label)+this.model.axis_label_standoff,_=this.visuals.axis_label_text;this._draw_oriented_labels(t,[this.model.axis_label],n,\"parallel\",this.panel.side,r,_,\"screen\")}_draw_ticks(t,e,i,s,a){if(!a.doit)return;const[l,n]=e,[o,r]=this.coordinates.map_to_screen(l,n),[_,h]=this.normals,[c,d]=this.offsets,[m,b]=[_*(c-i),h*(d-i)],[u,x]=[_*(c+s),h*(d+s)];a.set_value(t),t.beginPath();for(let e=0;e<o.length;e++){const i=Math.round(o[e]+u),s=Math.round(r[e]+x),a=Math.round(o[e]+m),l=Math.round(r[e]+b);t.moveTo(i,s),t.lineTo(a,l)}t.stroke()}_draw_oriented_labels(t,e,i,s,a,l,n,o=\"data\"){if(!n.doit||0==e.length)return;let _,h,c,d;if(\"screen\"==o)[_,h]=i,[c,d]=[0,0];else{const[t,e]=i;[_,h]=this.coordinates.map_to_screen(t,e),[c,d]=this.offsets}const[m,b]=this.normals,u=m*(c+l),x=b*(d+l);let f;n.set_value(t),this.panel.apply_label_text_heuristics(t,s),f=r.isString(s)?this.panel.get_label_angle_heuristic(s):-s;for(let i=0;i<_.length;i++){const s=Math.round(_[i]+u),a=Math.round(h[i]+x);t.translate(s,a),t.rotate(f),t.fillText(e[i],0,0),t.rotate(-f),t.translate(-s,-a)}}_axis_label_extent(){if(null==this.model.axis_label||\"\"==this.model.axis_label)return 0;const t=this.model.axis_label_standoff,e=this.visuals.axis_label_text;return this._oriented_labels_extent([this.model.axis_label],\"parallel\",this.panel.side,t,e)}_tick_extent(){return this.model.major_tick_out}_tick_label_extent(){return o.sum(this._tick_label_extents())}_tick_label_extents(){const t=this.tick_coords.major,e=this.compute_labels(t[this.dimension]),i=this.model.major_label_orientation,s=this.model.major_label_standoff,a=this.visuals.major_label_text;return[this._oriented_labels_extent(e,i,this.panel.side,s,a)]}_oriented_labels_extent(t,e,i,s,a){if(0==t.length)return 0;const l=this.layer.ctx;let n,o;a.set_value(l),r.isString(e)?(n=1,o=this.panel.get_label_angle_heuristic(e)):(n=2,o=-e),o=Math.abs(o);const _=Math.cos(o),h=Math.sin(o);let c=0;for(let e=0;e<t.length;e++){const s=1.1*l.measureText(t[e]).width,a=.9*l.measureText(t[e]).ascent;let o;o=\"above\"==i||\"below\"==i?s*h+a/n*_:s*_+a/n*h,o>c&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(t){const e=this.model.formatter.doFormat(t,this);for(let i=0;i<t.length;i++)t[i]in this.model.major_label_overrides&&(e[i]=this.model.major_label_overrides[t[i]]);return e}get offsets(){if(null!=this.model.fixed_location)return[0,0];const{frame:t}=this.plot_view;let[e,i]=[0,0];switch(this.panel.side){case\"below\":i=h(this.panel.bbox.top-t.bbox.bottom);break;case\"above\":i=h(this.panel.bbox.bottom-t.bbox.top);break;case\"right\":e=h(this.panel.bbox.left-t.bbox.right);break;case\"left\":e=h(this.panel.bbox.right-t.bbox.left)}return[e,i]}get ranges(){const t=this.dimension,e=(t+1)%2,{ranges:i}=this.coordinates;return[i[t],i[e]]}get computed_bounds(){const[t]=this.ranges,e=this.model.bounds,i=[t.min,t.max];if(\"auto\"==e)return[t.min,t.max];{let t,s;const[a,l]=e,[n,o]=i;return h(a-l)>h(n-o)?(t=d(c(a,l),n),s=c(d(a,l),o)):(t=c(a,l),s=d(a,l)),[t,s]}}get rule_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[t][0]=Math.max(s,i.min),l[t][1]=Math.min(a,i.max),l[t][0]>l[t][1]&&(l[t][0]=l[t][1]=NaN),l[e][0]=this.loc,l[e][1]=this.loc,l}get tick_coords(){const t=this.dimension,e=(t+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;i<n.length;i++)n[i]<h||n[i]>c||(r[t].push(n[i]),r[e].push(this.loc));for(let i=0;i<o.length;i++)o[i]<h||o[i]>c||(_[t].push(o[i]),_[e].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:t}=this.model;if(null!=t){if(r.isNumber(t))return t;const[,e]=this.ranges;if(e instanceof _.FactorRange)return e.synthetic(t);throw new Error(\"unexpected\")}const[,e]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return e.start;case\"right\":case\"above\":return e.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=m,m.__name__=\"AxisView\";class b extends a.GuideRenderer{constructor(t){super(t)}static init_Axis(){this.prototype.default_view=m,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=b,b.__name__=\"Axis\",b.init_Axis()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(70);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n      function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(177),r=t(180),a=t(181),l=e.__importStar(t(28)),_=e.__importStar(t(18));class n extends i.AxisView{_paint(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;t<e.tops.length-1;t++){let s,o;for(let i=n;i<e.factors.length;i++)if(e.factors[i][0]==e.tops[t+1]){[s,o]=[e.factors[i-1],e.factors[i]],n=i;break}const h=(e.synthetic(s)+e.synthetic(o))/2;h>i&&h<r&&(_[a].push(h),_[l].push(this.loc))}const h=this._tick_label_extent();this._draw_ticks(t,_,-3,h-6,this.visuals.separator_line)}_draw_major_labels(t,s,o){const e=this._get_factor_info();let i=s.tick+this.model.major_label_standoff;for(let o=0;o<e.length;o++){const[r,a,l,_]=e[o];this._draw_oriented_labels(t,r,a,l,this.panel.side,i,_),i+=s.tick_label[o]}}_tick_label_extents(){const t=this._get_factor_info(),s=[];for(const[o,,e,i]of t){const t=this._oriented_labels_extent(o,e,this.panel.side,this.model.major_label_standoff,i);s.push(t)}return s}_get_factor_info(){const[t]=this.ranges,[s,o]=this.computed_bounds,e=this.loc,i=this.model.ticker.get_ticks(s,o,t,e,{}),r=this.tick_coords,a=[];if(1==t.levels){const t=i.major,s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text])}else if(2==t.levels){const t=i.major.map(t=>t[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n      function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(129);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&t<o&&s.push(r)}return s}}e.CategoricalTicker=s,s.__name__=\"CategoricalTicker\"},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(131),c=e(9);class a extends o.TickFormatter{constructor(e){super(e)}doFormat(e,t){return c.copy(e)}}r.CategoricalTickFormatter=a,a.__name__=\"CategoricalTickFormatter\"},\n      function _(s,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=s(177);class t extends o.Axis{constructor(s){super(s)}}n.ContinuousAxis=t,t.__name__=\"ContinuousAxis\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(184),a=e(185),r=e(190);class n extends s.LinearAxisView{}i.DatetimeAxisView=n,n.__name__=\"DatetimeAxisView\";class _ extends s.LinearAxis{constructor(e){super(e)}static init_DatetimeAxis(){this.prototype.default_view=n,this.override({ticker:()=>new r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(177),n=e(182),r=e(130),a=e(126);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(186)),n=t(131),o=t(19),a=r.__importStar(t(18)),c=t(187),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n      function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new 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e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t<e.length;t++)if(l=e[t],Array.isArray(l))t||isNaN(l[1])?l.splice.apply(e,[t--,1].concat(l)):s=l;else if(isNaN(l)){if(\"string\"==(u=typeof 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Use `setCulture` instead\");var t=e,r=e.split(\"-\")[0],i=null;a[t]||(Object.keys(a).forEach((function(e){i||e.split(\"-\")[0]!==r||(i=e)})),t=i||n||\"en-US\"),m(t)},r.setCulture=function(e,n){var t=e,r=e.split(\"-\")[1],a=null;i[t]||(r&&Object.keys(i).forEach((function(e){a||e.split(\"-\")[1]!==r||(a=e)})),t=a||n||\"en-US\"),m(t)},r.language=function(e,n){if(console.warn(\"`language` is deprecated since version 1.6.0. Use `culture` instead\"),!e)return o;if(e&&!n){if(!a[e])throw new Error(\"Unknown language : \"+e);m(e)}return!n&&a[e]||p(e,n),r},r.culture=function(e,n){if(!e)return o;if(e&&!n){if(!i[e])throw new Error(\"Unknown culture : \"+e);m(e)}return!n&&i[e]||p(e,n),r},r.languageData=function(e){if(console.warn(\"`languageData` is deprecated since version 1.6.0. Use `cultureData` instead\"),!e)return a[o];if(!a[e])throw new Error(\"Unknown language : \"+e);return a[e]},r.cultureData=function(e){if(!e)return i[o];if(!i[e])throw new Error(\"Unknown culture : \"+e);return i[e]},r.culture(\"en-US\",{delimiters:{thousands:\",\",decimal:\".\"},abbreviations:{thousand:\"k\",million:\"m\",billion:\"b\",trillion:\"t\"},ordinal:function(e){var n=e%10;return 1==~~(e%100/10)?\"th\":1===n?\"st\":2===n?\"nd\":3===n?\"rd\":\"th\"},currency:{symbol:\"$\",position:\"prefix\"},defaults:{currencyFormat:\",0000 a\"},formats:{fourDigits:\"0000 a\",fullWithTwoDecimals:\"$ ,0.00\",fullWithTwoDecimalsNoCurrency:\",0.00\"}}),r.languages=function(){return console.warn(\"`languages` is deprecated since version 1.6.0. Use `cultures` instead\"),a},r.cultures=function(){return i},r.zeroFormat=function(e){l=\"string\"==typeof e?e:null},r.defaultFormat=function(e){u=\"string\"==typeof e?e:\"0.0\"},r.defaultCurrencyFormat=function(e){\"string\"==typeof e?e:\"0$\"},r.validate=function(e,n){var t,i,a,o,l,u,c,s;if(\"string\"!=typeof e&&(e+=\"\",console.warn&&console.warn(\"Numbro.js: Value is not string. It has been co-erced to: \",e)),(e=e.trim()).match(/^\\d+$/))return!0;if(\"\"===e)return!1;try{c=r.cultureData(n)}catch(e){c=r.cultureData(r.culture())}return a=c.currency.symbol,l=c.abbreviations,t=c.delimiters.decimal,i=\".\"===c.delimiters.thousands?\"\\\\.\":c.delimiters.thousands,(null===(s=e.match(/^[^\\d]+/))||(e=e.substr(1),s[0]===a))&&((null===(s=e.match(/[^\\d]+$/))||(e=e.slice(0,-1),s[0]===l.thousand||s[0]===l.million||s[0]===l.billion||s[0]===l.trillion))&&(u=new RegExp(i+\"{2}\"),!e.match(/[^\\d.,]/g)&&(!((o=e.split(t)).length>2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n      function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s<g;s++)if(\"string\"==typeof t[s])y+=t[s];else if(\"object\"==typeof t[s]){if((o=t[s]).keys)for(i=r[d],a=0;a<o.keys.length;a++){if(null==i)throw new Error(n('[sprintf] Cannot access property \"%s\" of undefined value \"%s\"',o.keys[a],o.keys[a-1]));i=i[o.keys[a]]}else i=o.param_no?r[o.param_no]:r[d++];if(e.not_type.test(o.type)&&e.not_primitive.test(o.type)&&i instanceof 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supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(127),s=e(191),r=e(192),c=e(195),_=e(196),m=e(194);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(128),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(193),a=t(194),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s);new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(128),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n      function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(193),s=t(194),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(126),r=e(193),n=e(194);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(177),o=e(182),n=e(198),r=e(199);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n      function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(131),a=t(130),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e<a;e++)if(o[e]=`${r}^${Math.round(Math.log(t[e])/Math.log(r))}`,e>0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(127),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(177),s=e(184),o=e(201),a=e(202);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n      function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(130),i=o.__importStar(r(18)),c=r(37);class a extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n<e;n++){const[e]=c.wgs84_mercator.invert(r[n],t.loc);o[n]=e}else for(let n=0;n<e;n++){const[,e]=c.wgs84_mercator.invert(t.loc,r[n]);o[n]=e}return super.doFormat(o,t)}}e.MercatorTickFormatter=a,a.__name__=\"MercatorTickFormatter\",a.init_MercatorTickFormatter()},\n      function _(t,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),s=t(126),e=n.__importStar(t(18)),i=t(37);class c extends s.BasicTicker{constructor(t){super(t)}static init_MercatorTicker(){this.define({dimension:[e.LatLon]})}get_ticks_no_defaults(t,o,r,n){if(null==this.dimension)throw new Error(this+\".dimension wasn't configured\");return[t,o]=i.clip_mercator(t,o,this.dimension),\"lon\"==this.dimension?this._get_ticks_lon(t,o,r,n):this._get_ticks_lat(t,o,r,n)}_get_ticks_lon(t,o,r,n){const[s]=i.wgs84_mercator.invert(t,r),[e,c]=i.wgs84_mercator.invert(o,r),_=super.get_ticks_no_defaults(s,e,r,n),a=[];for(const t of _.major)if(i.in_bounds(t,\"lon\")){const[o]=i.wgs84_mercator.compute(t,c);a.push(o)}const m=[];for(const t of _.minor)if(i.in_bounds(t,\"lon\")){const[o]=i.wgs84_mercator.compute(t,c);m.push(o)}return{major:a,minor:m}}_get_ticks_lat(t,o,r,n){const[,s]=i.wgs84_mercator.invert(r,t),[e,c]=i.wgs84_mercator.invert(r,o),_=super.get_ticks_no_defaults(s,c,r,n),a=[];for(const t of _.major)if(i.in_bounds(t,\"lat\")){const[,o]=i.wgs84_mercator.compute(e,t);a.push(o)}const m=[];for(const t of _.minor)if(i.in_bounds(t,\"lat\")){const[,o]=i.wgs84_mercator.compute(e,t);m.push(o)}return{major:a,minor:m}}}r.MercatorTicker=c,c.__name__=\"MercatorTicker\",c.init_MercatorTicker()},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});var t=e(204);o.CustomJS=t.CustomJS;var u=e(206);o.OpenURL=u.OpenURL},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),u=t(205),c=n.__importStar(t(18)),r=t(13),a=t(29);class i extends u.Callback{constructor(t){super(t)}static init_CustomJS(){this.define({args:[c.Any,{}],code:[c.String,\"\"]})}get names(){return r.keys(this.args)}get values(){return r.values(this.args)}get func(){const t=a.use_strict(this.code);return new Function(...this.names,\"cb_obj\",\"cb_data\",t)}execute(t,e={}){return 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n=a(77);r.Canvas=n.Canvas;var s=a(208);r.CartesianFrame=s.CartesianFrame},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(209),_=e(146),n=e(157),r=e(158),i=e(210),g=e(98),c=e(212),o=e(13),l=e(11);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.in_x_scale=e,this.in_y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,l.assert(null==e.source_range&&null==e.target_range),l.assert(null==t.source_range&&null==t.target_range),this._configure_scales()}_get_ranges(e,t){return new Map(o.entries(Object.assign(Object.assign({},t),{default:e})))}_get_scales(e,t,s){const c=new Map;for(const[o,l]of t){if((l instanceof i.DataRange1d||l instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);if(l instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${l.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&l instanceof i.DataRange1d&&(l.scale_hint=\"log\");const t=e.clone();t.setv({source_range:l,target_range:s}),c.set(o,t)}return c}_configure_frame_ranges(){const{bbox:e}=this;this._x_target=new r.Range1d({start:e.left,end:e.right}),this._y_target=new r.Range1d({start:e.bottom,end:e.top})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._x_scales=this._get_scales(this.in_x_scale,this._x_ranges,this._x_target),this._y_scales=this._get_scales(this.in_y_scale,this._y_ranges,this._y_target)}_update_scales(){this._configure_frame_ranges();for(const[,e]of this._x_scales)e.target_range=this._x_target;for(const[,e]of this._y_scales)e.target_range=this._y_target}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get x_scales(){return this._x_scales}get y_scales(){return this._y_scales}get x_scale(){return this._x_scales.get(\"default\")}get y_scale(){return this._y_scales.get(\"default\")}get xscales(){return o.to_object(this.x_scales)}get yscales(){return o.to_object(this.y_scales)}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(147);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n      function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(211),s=t(90),l=t(19),_=e.__importStar(t(18)),o=e.__importStar(t(79)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e<i*a?e=i*a:a=e/i,n.x1=s+.5*e,n.x0=s-.5*e,n.y1=l+.5*a,n.y0=l-.5*a,n}_compute_min_max(t,i){let n,e,a=o.empty();for(const i of t)a=o.union(a,i);return[n,e]=0==i?[a.x0,a.x1]:[a.y0,a.y1],[n,e]}_compute_range(t,i){const n=this.range_padding;let e,a;if(null!=this._initial_start&&(t=this._initial_start),null!=this._initial_end&&(i=this._initial_end),\"log\"==this.scale_hint){let s,_;if((isNaN(t)||!isFinite(t)||t<=0)&&(t=isNaN(i)||!isFinite(i)||i<=0?.1:i/100,l.logger.warn(\"could not determine minimum data value for log axis, DataRange1d using value \"+t)),(isNaN(i)||!isFinite(i)||i<=0)&&(i=isNaN(t)||!isFinite(t)||t<=0?10:100*t,l.logger.warn(\"could not determine maximum data value for log axis, DataRange1d using value \"+i)),i==t)_=this.default_span+.001,s=Math.log(t)/Math.log(10);else{let e,a;\"percent\"==this.range_padding_units?(e=Math.log(t)/Math.log(10),a=Math.log(i)/Math.log(10),_=(a-e)*(1+n)):(e=Math.log(t-n)/Math.log(10),a=Math.log(i+n)/Math.log(10),_=a-e),s=(e+a)/2}e=10**(s-_/2),a=10**(s+_/2)}else{let s;s=i==t?this.default_span:\"percent\"==this.range_padding_units?(i-t)*(1+n):i-t+2*n;const l=(i+t)/2;e=l-s/2,a=l+s/2}let s=1;this.flipped&&([e,a]=[a,e],s=-1);const _=this.follow_interval;return null!=_&&Math.abs(e-a)>_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let 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w({width:this.width==1/0&&null!=t?t:this.width,height:this.height==1/0&&null!=h?h:this.height})}expanded_to({width:t,height:h}){return new w({width:t!=1/0?n(this.width,t):this.width,height:h!=1/0?n(this.height,h):this.height})}expand_to({width:t,height:h}){this.width=n(this.width,t),this.height=n(this.height,h)}narrowed_to({width:t,height:h}){return new w({width:d(this.width,t),height:d(this.height,h)})}narrow_to({width:t,height:h}){this.width=d(this.width,t),this.height=d(this.height,h)}grow_by({left:t,right:h,top:i,bottom:e}){const d=this.width+t+h,n=this.height+i+e;return new w({width:d,height:n})}shrink_by({left:t,right:h,top:i,bottom:e}){const d=n(this.width-t-h,0),s=n(this.height-i-e,0);return new w({width:d,height:s})}map(t,h){return new w({width:t(this.width),height:(null!=h?h:t)(this.height)})}}i.Sizeable=w,w.__name__=\"Sizeable\",i.SizingPolicy=e.Enum(\"fixed\",\"fit\",\"min\",\"max\")},\n      function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(213),s=i(79),{min:n,max:g,round:a}=Math;class l{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,l=null!=i.max_height?i.max_height:1/0,_=i.aspect,d=i.margin||{top:0,right:0,bottom:0,left:0},r=!1!==i.visible,w=i.halign||\"start\",o=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:l,aspect:_,margin:d,visible:r,halign:w,valign:o,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:l}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),l=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-l)?(t=s,h=n):(t=g,h=l)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),l=h(g.height),_=this.apply_aspect(s,{width:a,height:l});return Object.assign(Object.assign({},n),_)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:l}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-l})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=l,l.__name__=\"Layoutable\";class _ extends l{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=_,_.__name__=\"LayoutItem\";class d extends l{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=d,d.__name__=\"ContentLayoutable\"},\n      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(214),r=t(79);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(213),o=t(214),n=t(8),r=t(79),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s<i;s++){const i=(()=>{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i<s;i++){const s=(()=>{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t<s;t++){const i=n[t];p[t]=\"fixed\"==i.policy?i.height:0}const _=new Array(o);for(let t=0;t<o;t++){const i=r[t];_[t]=\"fixed\"==i.policy?i.width:0}const f=new g;i.foreach((i,s)=>{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}});return{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t<i;t++){const i=e[t];\"fit\"==i.policy||\"max\"==i.policy?p+=i.flex:a-=h.row_heights[t]}if(a-=(i-1)*n,0!=p&&a>0)for(let t=0;t<i;t++){const i=e[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(a*(i.flex/p));a-=s,h.row_heights[t]=s,p-=i.flex}}else if(a<0){let t=0;for(let s=0;s<i;s++){\"fixed\"!=e[s].policy&&t++}let s=-a;for(let o=0;o<i;o++){if(\"fixed\"!=e[o].policy){const i=h.row_heights[o],e=c(s/t);h.row_heights[o]=l(i-e,0),s-=e>i?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t<s;t++){const i=o[t];\"fit\"==i.policy||\"max\"==i.policy?_+=i.flex:g-=h.col_widths[t]}if(g-=(s-1)*r,0!=_&&g>0)for(let t=0;t<s;t++){const i=o[t];if(\"fit\"==i.policy||\"max\"==i.policy){const s=c(g*(i.flex/_));g-=s,h.col_widths[t]=s,_-=i.flex}}else if(g<0){let t=0;for(let i=0;i<s;i++){\"fixed\"!=o[i].policy&&t++}let i=-g;for(let e=0;e<s;e++){if(\"fixed\"!=o[e].policy){const s=h.col_widths[e],o=c(i/t);h.col_widths[e]=l(s-o,0),i-=o>s?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i<s;i++){const t=_[i];t.top=e,e+=t.height+o}for(let i=0,s=this.absolute?t.left:0;i<e;i++){const t=f[i];t.left=s,s+=t.width+n}d.foreach(({r0:t,c0:i,r1:s,c1:e},h)=>{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(214),i=e(213),a=e(72);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n      function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(219);u.Expression=a.Expression;var n=e(220);u.Stack=n.Stack;var o=e(221);u.CumSum=o.CumSum},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(81);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(219),s=t(24),o=r.__importStar(t(18));class a extends i.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[o.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,r=new s.NumberArray(n);for(const e of this.fields){const i=t.data[e];if(null!=i)for(let t=0,e=Math.min(n,i.length);t<e;t++)r[t]+=i[t]}return r}}n.Stack=a,a.__name__=\"Stack\",a.init_Stack()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),u=e(219),r=e(24),_=i.__importStar(e(18));class o extends u.Expression{constructor(e){super(e)}static init_CumSum(){this.define({field:[_.String],include_zero:[_.Boolean,!1]})}_v_compute(e){const t=new r.NumberArray(e.get_length()||0),n=e.data[this.field],i=this.include_zero?1:0;t[0]=this.include_zero?0:n[0];for(let e=1;e<t.length;e++)t[e]=t[e-1]+n[e-i];return t}}n.CumSum=o,o.__name__=\"CumSum\",o.init_CumSum()},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var l=e(223);t.BooleanFilter=l.BooleanFilter;var i=e(225);t.CustomJSFilter=i.CustomJSFilter;var o=e(224);t.Filter=o.Filter;var F=e(226);t.GroupFilter=F.GroupFilter;var a=e(227);t.IndexFilter=a.IndexFilter},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(224),i=o.__importStar(e(18)),s=e(24);class r extends l.Filter{constructor(e){super(e)}static init_BooleanFilter(){this.define({booleans:[i.Array,null]})}compute_indices(e){const n=e.length,{booleans:t}=this;return null==t?s.Indices.all_set(n):s.Indices.from_booleans(n,t)}}t.BooleanFilter=r,r.__name__=\"BooleanFilter\",r.init_BooleanFilter()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(81);class r extends o.Model{constructor(e){super(e)}}n.Filter=r,r.__name__=\"Filter\"},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(1),n=e(224),i=s.__importStar(e(18)),o=e(24),u=e(13),c=e(8),a=e(29);class l extends n.Filter{constructor(e){super(e)}static init_CustomJSFilter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const e=a.use_strict(this.code);return new Function(...this.names,\"source\",e)}compute_indices(e){const t=e.length,r=this.func(...this.values,e);if(null==r)return o.Indices.all_set(t);if(c.isArrayOf(r,c.isInteger))return o.Indices.from_indices(t,r);if(c.isArrayOf(r,c.isBoolean))return o.Indices.from_booleans(t,r);throw new Error(\"expect an array of integers or booleans, or null, got \"+r)}}r.CustomJSFilter=l,l.__name__=\"CustomJSFilter\",l.init_CustomJSFilter()},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(1),i=e(224),o=r.__importStar(e(18)),u=e(24),s=e(19);class c extends i.Filter{constructor(e){super(e)}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(e){const t=e.get_column(this.column_name);if(null==t)return s.logger.warn(`${this}: groupby column '${this.column_name}' not found in the data source`),new u.Indices(e.length,1);{const n=new u.Indices(e.length);for(let e=0;e<n.size;e++)t[e]===this.group&&n.set(e);return n}}}n.GroupFilter=c,c.__name__=\"GroupFilter\",c.init_GroupFilter()},\n      function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),s=e(224),r=t.__importStar(e(18)),c=e(24);class l extends s.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[r.Array,null]})}compute_indices(e){const i=e.length,{indices:n}=this;return null==n?c.Indices.all_set(i):c.Indices.from_indices(i,n)}}n.IndexFilter=l,l.__name__=\"IndexFilter\",l.init_IndexFilter()},\n      function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(130);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(181);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(185);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(229);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(198);a.LogTickFormatter=m.LogTickFormatter;var F=r(201);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(230);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(231);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(131);a.TickFormatter=v.TickFormatter},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(131),i=r.__importStar(t(18)),c=t(13),a=t(29);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n      function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(188)),a=r(131),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n      function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(131),o=t(187),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(233);r.AnnularWedge=v.AnnularWedge;var l=a(234);r.Annulus=l.Annulus;var t=a(235);r.Arc=t.Arc;var i=a(236);r.Bezier=i.Bezier;var n=a(237);r.Circle=n.Circle;var u=a(241);r.CenterRotatable=u.CenterRotatable;var c=a(242);r.Ellipse=c.Ellipse;var g=a(243);r.EllipseOval=g.EllipseOval;var A=a(94);r.Glyph=A.Glyph;var p=a(111);r.HArea=p.HArea;var s=a(244);r.HBar=s.HBar;var d=a(246);r.HexTile=d.HexTile;var R=a(247);r.Image=R.Image;var o=a(249);r.ImageRGBA=o.ImageRGBA;var y=a(250);r.ImageURL=y.ImageURL;var h=a(92);r.Line=h.Line;var m=a(252);r.MultiLine=m.MultiLine;var B=a(253);r.MultiPolygons=B.MultiPolygons;var P=a(254);r.Oval=P.Oval;var G=a(110);r.Patch=G.Patch;var H=a(255);r.Patches=H.Patches;var I=a(256);r.Quad=I.Quad;var L=a(257);r.Quadratic=L.Quadratic;var M=a(258);r.Ray=M.Ray;var O=a(259);r.Rect=O.Rect;var x=a(260);r.Segment=x.Segment;var C=a(261);r.Step=C.Step;var E=a(262);r.Text=E.Text;var Q=a(113);r.VArea=Q.VArea;var S=a(263);r.VBar=S.VBar;var T=a(264);r.Wedge=T.Wedge;var V=a(93);r.XYGlyph=V.XYGlyph},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(100),a=e(28),_=e(24),o=i.__importStar(e(18)),d=e(10),h=e(88);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new _.NumberArray(this._start_angle.length);for(let e=0,t=this._start_angle.length;e<t;e++)this._angle[e]=this._end_angle[e]-this._start_angle[e]}_render(e,t,{sx:s,sy:i,_start_angle:r,_angle:n,sinner_radius:a,souter_radius:_}){const o=this.model.properties.direction.value();for(const d of t)isNaN(s[d]+i[d]+a[d]+_[d]+r[d]+n[d])||(e.translate(s[d],i[d]),e.rotate(r[d]),e.beginPath(),e.moveTo(_[d],0),e.arc(0,0,_[d],0,n[d],o),e.rotate(n[d]),e.lineTo(a[d],0),e.arc(0,0,a[d],0,-n[d],!o),e.closePath(),e.rotate(-n[d]-r[d]),e.translate(-s[d],-i[d]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,d),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,d),e.stroke()))}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s);let n,a,_,o;if(\"data\"==this.model.properties.outer_radius.units)n=i-this.max_outer_radius,_=i+this.max_outer_radius,a=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const e=t-this.max_outer_radius,i=t+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(e,i);const r=s-this.max_outer_radius,d=s+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(r,d)}const u=[];for(const e of this.index.indices({x0:n,x1:_,y0:a,y1:o})){const t=this.souter_radius[e]**2,s=this.sinner_radius[e]**2,[n,a]=this.renderer.xscale.r_compute(i,this._x[e]),[_,o]=this.renderer.yscale.r_compute(r,this._y[e]),d=(n-a)**2+(_-o)**2;d<=t&&d>=s&&u.push(e)}const l=this.model.properties.direction.value(),c=[];for(const e of u){const i=Math.atan2(s-this.sy[e],t-this.sx[e]);d.angle_between(-i,-this._start_angle[e],-this._end_angle[e],l)&&c.push(e)}return new h.Selection({indices:c})}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return[this.sx[e]+t*Math.cos(s),this.sy[e]+t*Math.sin(s)]}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class l extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[o.Direction,\"anticlock\"],inner_radius:[o.DistanceSpec],outer_radius:[o.DistanceSpec],start_angle:[o.AngleSpec],end_angle:[o.AngleSpec]})}}s.AnnularWedge=l,l.__name__=\"AnnularWedge\",l.init_AnnularWedge()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(93),n=s(28),a=t.__importStar(s(18)),_=s(32),u=s(88);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:n}){for(const a of i)if(!isNaN(e[a]+t[a]+r[a]+n[a])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,a),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[a],t[a],r[a],0,Math.PI,i),s.arc(e[a],t[a],n[a],Math.PI,0,!i);else s.arc(e[a],t[a],r[a],0,2*Math.PI,!0),s.arc(e[a],t[a],n[a],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI),s.moveTo(e[a]+n[a],t[a]),s.arc(e[a],t[a],n[a],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let n,a,_,o;if(\"data\"==this.model.properties.outer_radius.units)n=t-this.max_outer_radius,_=t+this.max_outer_radius,a=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[n,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[a,o]=this.renderer.yscale.r_invert(r,u)}const d=[];for(const s of this.index.indices({x0:n,x1:_,y0:a,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[n,a]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(n-a)**2+(_-u)**2;o<=i&&o>=e&&d.push(s)}return new u.Selection({indices:d})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},n){const a=n+1,_=new Array(a);_[n]=(i+t)/2;const u=new Array(a);u[n]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),d=new Array(a);d[n]=.4*o;const h=new Array(a);h[n]=.8*o,this._render(s,[n],{sx:_,sy:u,sinner_radius:d,souter_radius:h})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class d extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([n.LineVector,n.FillVector]),this.define({inner_radius:[a.DistanceSpec],outer_radius:[a.DistanceSpec]})}}e.Annulus=d,d.__name__=\"Annulus\",d.init_Annulus()},\n      function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(93),n=e(100),a=e(28),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(28),c=e(94),o=e(100),_=e(37),r=s.__importStar(e(18));function a(e,t,i,s,n,c,o,_){const r=[],a=[[],[]];for(let a=0;a<=2;a++){let h,d,x;if(0===a?(d=6*e-12*i+6*n,h=-3*e+9*i-9*n+3*o,x=3*i-3*e):(d=6*t-12*s+6*c,h=-3*t+9*s-9*c+3*_,x=3*s-3*t),Math.abs(h)<1e-12){if(Math.abs(d)<1e-12)continue;const e=-x/d;0<e&&e<1&&r.push(e);continue}const l=d*d-4*x*h,y=Math.sqrt(l);if(l<0)continue;const p=(-d+y)/(2*h);0<p&&p<1&&r.push(p);const f=(-d-y)/(2*h);0<f&&f<1&&r.push(f)}let h=r.length;const d=h;for(;h--;){const d=r[h],x=1-d,l=x*x*x*e+3*x*x*d*i+3*x*d*d*n+d*d*d*o;a[0][h]=l;const y=x*x*x*t+3*x*x*d*s+3*x*d*d*c+d*d*d*_;a[1][h]=y}return a[0][d]=e,a[1][d]=t,a[0][d+1]=o,a[1][d+1]=_,[Math.min(...a[0]),Math.max(...a[1]),Math.max(...a[0]),Math.min(...a[1])]}class h extends c.GlyphView{_project_data(){_.inplace.project_xy(this._x0,this._y0),_.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++)if(isNaN(this._x0[i]+this._x1[i]+this._y0[i]+this._y1[i]+this._cx0[i]+this._cy0[i]+this._cx1[i]+this._cy1[i]))e.add_empty();else{const[t,s,n,c]=a(this._x0[i],this._y0[i],this._x1[i],this._y1[i],this._cx0[i],this._cy0[i],this._cx1[i],this._cy1[i]);e.add(t,s,n,c)}}_render(e,t,{sx0:i,sy0:s,sx1:n,sy1:c,scx0:o,scy0:_,scx1:r,scy1:a}){if(this.visuals.line.doit)for(const h of t)isNaN(i[h]+s[h]+n[h]+c[h]+o[h]+_[h]+r[h]+a[h])||(e.beginPath(),e.moveTo(i[h],s[h]),e.bezierCurveTo(o[h],_[h],r[h],a[h],n[h],c[h]),this.visuals.line.set_vectorize(e,h),e.stroke())}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}scenterxy(){throw new Error(this+\".scenterxy() is not implemented\")}}i.BezierView=h,h.__name__=\"BezierView\";class d extends c.Glyph{constructor(e){super(e)}static init_Bezier(){this.prototype.default_view=h,this.define({x0:[r.XCoordinateSpec,{field:\"x0\"}],y0:[r.YCoordinateSpec,{field:\"y0\"}],x1:[r.XCoordinateSpec,{field:\"x1\"}],y1:[r.YCoordinateSpec,{field:\"y1\"}],cx0:[r.XCoordinateSpec,{field:\"cx0\"}],cy0:[r.YCoordinateSpec,{field:\"cy0\"}],cx1:[r.XCoordinateSpec,{field:\"cx1\"}],cy1:[r.YCoordinateSpec,{field:\"cy1\"}]}),this.mixins(n.LineVector)}}i.Bezier=d,d.__name__=\"Bezier\",d.init_Bezier()},\n      function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(93),a=s(238),n=s(28),h=t.__importStar(s(101)),d=t.__importStar(s(18)),l=s(9),_=s(12),c=s(88);class o extends r.XYGlyphView{initialize(){super.initialize();const{webgl:s}=this.renderer.plot_view.canvas_view;null!=s&&(this.glglyph=new a.CircleGL(s.gl,this))}_map_data(){if(null!=this._radius)if(\"data\"==this.model.properties.radius.units)switch(this.model.radius_dimension){case\"x\":this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius);break;case\"y\":this.sradius=this.sdist(this.renderer.yscale,this._y,this._radius);break;case\"max\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,l=i.end;[t,a]=this.renderer.yscale.r_invert(d,l),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,l=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,l)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,l=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,l)}const l=this.index.indices({x0:a,x1:n,y0:h,y1:d}),_=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of l){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]);(e-a)**2+(n-h)**2<=i&&_.push(s)}else for(const s of l){const t=this.sradius[s]**2;(this.sx[s]-i)**2+(this.sy[s]-e)**2<=t&&_.push(s)}return new c.Selection({indices:_})}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=[...this.index.indices({x0:r,x1:a,y0:n,y1:h})];return new c.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),l=[...this.index.indices({x0:a,x1:n,y0:h,y1:d})];return new c.Selection({indices:l})}_hit_poly(s){const{sx:i,sy:e}=s,t=l.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s<a;s++){const a=t[s];h.point_in_poly(this.sx[s],this.sy[s],i,e)&&r.push(a)}return new c.Selection({indices:r})}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,h=new Array(n);h[a]=(i+t)/2;const d=new Array(n);d[a]=(e+r)/2;const l=new Array(n);l[a]=.2*Math.min(Math.abs(t-i),Math.abs(r-e)),this._render(s,[a],{sx:h,sy:d,sradius:l})}}e.CircleView=o,o.__name__=\"CircleView\";class u extends r.XYGlyph{constructor(s){super(s)}static init_Circle(){this.prototype.default_view=o,this.mixins([n.LineVector,n.FillVector]),this.define({angle:[d.AngleSpec,0],size:[d.DistanceSpec,{units:\"screen\",value:4}],radius:[d.DistanceSpec,void 0,{optional:!0}],radius_dimension:[d.RadiusDimension,\"x\"]})}}e.Circle=u,u.__name__=\"Circle\",u.init_Circle()},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),a=t(103),r=t(107),o=t(239),_=t(240),l=t(237),h=t(12),n=t(19),g=t(22);function u(t,e,s,i,a,r){if(a.doit)if(a[r].is_value)e.used=!1,t.set_attribute(s,\"float\",[a[r].value()]);else{e.used=!0;const o=new Float32Array(a.get_array(r));e.set_size(4*i),e.set_data(0,o),t.set_attribute(s,\"float\",e)}else e.used=!1,t.set_attribute(s,\"float\",[0])}function f(t,e,s,i,a,r){const o=r+\"_color\",_=r+\"_alpha\";if(a.doit){let r,l;if(e.used=!0,a[o].is_value){const t=g.encode_rgba(g.color2rgba(a[o].value())),e=new Uint32Array(i);e.fill(t),r=e}else r=a.get_array(o);if(a[_].is_value){const t=a[_].value(),e=new Float32Array(i);e.fill(t),l=e}else l=a.get_array(_);const h=new Float32Array(4*i);for(let t=0,e=i;t<e;t++){const e=g.decode_rgba(r[t]);1==e[3]&&(e[3]=l[t]),h.set(e,4*t)}e.set_size(4*i*4),e.set_data(0,h),t.set_attribute(s,\"vec4\",e)}else e.used=!1,t.set_attribute(s,\"vec4\",[0,0,0,0])}s.attach_float=u,s.attach_color=f;class d extends r.BaseGLGlyph{init(){const{gl:t}=this,e=o.vertex_shader,s=_.fragment_shader(this._marker_code);this.prog=new a.Program(t),this.prog.set_shaders(e,s),this.vbo_sx=new a.VertexBuffer(t),this.prog.set_attribute(\"a_sx\",\"float\",this.vbo_sx),this.vbo_sy=new a.VertexBuffer(t),this.prog.set_attribute(\"a_sy\",\"float\",this.vbo_sy),this.vbo_s=new a.VertexBuffer(t),this.prog.set_attribute(\"a_size\",\"float\",this.vbo_s),this.vbo_a=new a.VertexBuffer(t),this.prog.set_attribute(\"a_angle\",\"float\",this.vbo_a),this.vbo_linewidth=new a.VertexBuffer(t),this.vbo_fg_color=new a.VertexBuffer(t),this.vbo_bg_color=new a.VertexBuffer(t),this.index_buffer=new a.IndexBuffer(t)}draw(t,e,s){const i=e.glglyph,{nvertices:a}=i;if(i.data_changed&&(i._set_data(a),this.glyph instanceof l.CircleView&&null!=this.glyph._radius&&this.vbo_s.set_data(0,h.map(this.glyph.sradius,t=>2*t)),i.data_changed=!1),this.visuals_changed&&(this._set_visuals(a),this.visuals_changed=!1),this.prog.set_uniform(\"u_pixel_ratio\",\"float\",[s.pixel_ratio]),this.prog.set_uniform(\"u_canvas_size\",\"vec2\",[s.width,s.height]),this.prog.set_attribute(\"a_sx\",\"float\",i.vbo_sx),this.prog.set_attribute(\"a_sy\",\"float\",i.vbo_sy),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a),0!=t.length)if(t.length===a)this.prog.draw(this.gl.POINTS,[0,a]);else if(a<65535){const e=window.navigator.userAgent;e.indexOf(\"MSIE \")+e.indexOf(\"Trident/\")+e.indexOf(\"Edge/\")>0&&n.logger.warn(\"WebGL warning: IE is known to produce 1px sprites whith selections.\"),this.index_buffer.set_size(2*t.length),this.index_buffer.set_data(0,new Uint16Array(t)),this.prog.draw(this.gl.POINTS,this.index_buffer)}else{const e=64e3,s=[];for(let t=0,i=Math.ceil(a/e);t<i;t++)s.push([]);for(let i=0,a=t.length;i<a;i++){const a=t[i]%e;s[Math.floor(t[i]/e)].push(a)}for(let t=0,a=s.length;t<a;t++){const a=new Uint16Array(s[t]),r=t*e*4;0!==a.length&&(this.prog.set_attribute(\"a_sx\",\"float\",i.vbo_sx,0,r),this.prog.set_attribute(\"a_sy\",\"float\",i.vbo_sy,0,r),this.prog.set_attribute(\"a_size\",\"float\",i.vbo_s,0,r),this.prog.set_attribute(\"a_angle\",\"float\",i.vbo_a,0,r),this.vbo_linewidth.used&&this.prog.set_attribute(\"a_linewidth\",\"float\",this.vbo_linewidth,0,r),this.vbo_fg_color.used&&this.prog.set_attribute(\"a_fg_color\",\"vec4\",this.vbo_fg_color,0,4*r),this.vbo_bg_color.used&&this.prog.set_attribute(\"a_bg_color\",\"vec4\",this.vbo_bg_color,0,4*r),this.index_buffer.set_size(2*a.length),this.index_buffer.set_data(0,a),this.prog.draw(this.gl.POINTS,this.index_buffer))}}}_set_data(t){const e=4*t;this.vbo_sx.set_size(e),this.vbo_sy.set_size(e),this.vbo_a.set_size(e),this.vbo_s.set_size(e),this.vbo_sx.set_data(0,this.glyph.sx),this.vbo_sy.set_data(0,this.glyph.sy),null!=this.glyph._angle&&this.vbo_a.set_data(0,new Float32Array(this.glyph._angle)),this.glyph instanceof l.CircleView&&null!=this.glyph._radius?this.vbo_s.set_data(0,h.map(this.glyph.sradius,t=>2*t)):this.vbo_s.set_data(0,new Float32Array(this.glyph._size))}_set_visuals(t){u(this.prog,this.vbo_linewidth,\"a_linewidth\",t,this.glyph.visuals.line,\"line_width\"),f(this.prog,this.vbo_fg_color,\"a_fg_color\",t,this.glyph.visuals.line,\"line\"),f(this.prog,this.vbo_bg_color,\"a_bg_color\",t,this.glyph.visuals.fill,\"fill\"),this.prog.set_uniform(\"u_antialias\",\"float\",[.8])}}function b(t){return class extends d{get _marker_code(){return t}}}s.MarkerGL=d,d.__name__=\"MarkerGL\";const c=i.__importStar(t(240));s.AsteriskGL=b(c.asterisk),s.CircleGL=b(c.circle),s.CircleCrossGL=b(c.circlecross),s.CircleXGL=b(c.circlex),s.CrossGL=b(c.cross),s.DiamondGL=b(c.diamond),s.DiamondCrossGL=b(c.diamondcross),s.HexGL=b(c.hex),s.InvertedTriangleGL=b(c.invertedtriangle),s.SquareGL=b(c.square),s.SquareCrossGL=b(c.squarecross),s.SquareXGL=b(c.squarex),s.TriangleGL=b(c.triangle),s.XGL=b(c.x)},\n      function _(n,i,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.vertex_shader=\"\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\n//\\nuniform float u_pixel_ratio;\\nuniform vec2 u_canvas_size;\\nuniform vec2 u_offset;\\nuniform vec2 u_scale;\\nuniform float u_antialias;\\n//\\nattribute float a_sx;\\nattribute float a_sy;\\nattribute float a_size;\\nattribute float a_angle;  // in radians\\nattribute float a_linewidth;\\nattribute vec4  a_fg_color;\\nattribute vec4  a_bg_color;\\n//\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying vec2  v_rotation;\\n\\nvoid main (void)\\n{\\n    v_size = a_size * u_pixel_ratio;\\n    v_linewidth = a_linewidth * u_pixel_ratio;\\n    v_fg_color = a_fg_color;\\n    v_bg_color = a_bg_color;\\n    v_rotation = vec2(cos(-a_angle), sin(-a_angle));\\n    vec2 pos = vec2(a_sx, a_sy);  // in pixels\\n    pos += 0.5;  // make up for Bokeh's offset\\n    pos /= u_canvas_size / u_pixel_ratio;  // in 0..1\\n    gl_Position = vec4(pos*2.0-1.0, 0.0, 1.0);\\n    gl_Position.y *= -1.0;\\n    gl_PointSize = SQRT_2 * v_size + 2.0 * (v_linewidth + 1.5*u_antialias);\\n}\\n\"},\n      function _(a,n,s){Object.defineProperty(s,\"__esModule\",{value:!0}),s.fragment_shader=a=>`\\nprecision mediump float;\\nconst float SQRT_2 = 1.4142135623730951;\\nconst float PI = 3.14159265358979323846264;\\n//\\nuniform float u_antialias;\\n//\\nvarying vec4  v_fg_color;\\nvarying vec4  v_bg_color;\\nvarying float v_linewidth;\\nvarying float v_size;\\nvarying vec2  v_rotation;\\n\\n${a}\\n\\nvec4 outline(float distance, float linewidth, float antialias, vec4 fg_color, vec4 bg_color)\\n{\\n    vec4 frag_color;\\n    float t = linewidth/2.0 - antialias;\\n    float signed_distance = distance;\\n    float border_distance = abs(signed_distance) - t;\\n    float alpha = border_distance/antialias;\\n    alpha = exp(-alpha*alpha);\\n\\n    // If fg alpha is zero, it probably means no outline. To avoid a dark outline\\n    // shining through due to aa, we set the fg color to the bg color. Avoid if (i.e. branching).\\n    float select = float(bool(fg_color.a));\\n    fg_color.rgb = select * fg_color.rgb + (1.0  - select) * bg_color.rgb;\\n    // Similarly, if we want a transparent bg\\n    select = float(bool(bg_color.a));\\n    bg_color.rgb = select * bg_color.rgb + (1.0  - select) * fg_color.rgb;\\n\\n    if( border_distance < 0.0)\\n        frag_color = fg_color;\\n    else if( signed_distance < 0.0 ) {\\n        frag_color = mix(bg_color, fg_color, sqrt(alpha));\\n    } else {\\n        if( abs(signed_distance) < (linewidth/2.0 + antialias) ) {\\n            frag_color = vec4(fg_color.rgb, fg_color.a * alpha);\\n        } else {\\n            discard;\\n        }\\n    }\\n    return frag_color;\\n}\\n\\nvoid main()\\n{\\n    vec2 P = gl_PointCoord.xy - vec2(0.5, 0.5);\\n    P = vec2(v_rotation.x*P.x - v_rotation.y*P.y,\\n             v_rotation.y*P.x + v_rotation.x*P.y);\\n    float point_size = SQRT_2*v_size  + 2.0 * (v_linewidth + 1.5*u_antialias);\\n    float distance = marker(P*point_size, v_size);\\n    gl_FragColor = outline(distance, v_linewidth, u_antialias, v_fg_color, v_bg_color);\\n}\\n`,s.circle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return length(P) - size/2.0;\\n}\\n\",s.square=\"\\nfloat marker(vec2 P, float size)\\n{\\n    return max(abs(P.x), abs(P.y)) - size/2.0;\\n}\\n\",s.diamond=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    return r1 / SQRT_2;\\n}\\n\",s.hex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    vec2 q = abs(P);\\n    return max(q.y * 0.57735 + q.x - 1.0 * size/2.0, q.y - 0.866 * size/2.0);\\n}\\n\",s.triangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y -= size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.invertedtriangle=\"\\nfloat marker(vec2 P, float size)\\n{\\n    P.y += size * 0.3;\\n    float x = SQRT_2 / 2.0 * (P.x * 1.7 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.7 + P.y);\\n    float r1 = max(abs(x), abs(y)) - size / 1.6;\\n    float r2 = - P.y;\\n    return max(r1 / SQRT_2, r2);  // Intersect diamond with rectangle\\n}\\n\",s.cross='\\nfloat marker(vec2 P, float size)\\n{\\n    float square = max(abs(P.x), abs(P.y)) - size / 2.5;   // 2.5 is a tweak\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(square, cross);\\n}\\n',s.circlecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.squarecross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.diamondcross=\"\\nfloat marker(vec2 P, float size)\\n{\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(P.x - qs), abs(P.y - qs)) - qs;\\n    float s2 = max(abs(P.x + qs), abs(P.y - qs)) - qs;\\n    float s3 = max(abs(P.x - qs), abs(P.y + qs)) - qs;\\n    float s4 = max(abs(P.x + qs), abs(P.y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float x = SQRT_2 / 2.0 * (P.x * 1.5 - P.y);\\n    float y = SQRT_2 / 2.0 * (P.x * 1.5 + P.y);\\n    float diamond = max(abs(x), abs(y)) - size / (2.0 * SQRT_2);\\n    diamond /= SQRT_2;\\n    float c1 = max(diamond, s1);\\n    float c2 = max(diamond, s2);\\n    float c3 = max(diamond, s3);\\n    float c4 = max(diamond, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.x='\\nfloat marker(vec2 P, float size)\\n{\\n    float circle = length(P) - size / 1.6;\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return max(circle, X);\\n}\\n',s.circlex='\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float circle = length(P) - size/2.0;\\n    float c1 = max(circle, s1);\\n    float c2 = max(circle, s2);\\n    float c3 = max(circle, s3);\\n    float c4 = max(circle, s4);\\n    // Union\\n    float almost = min(min(min(c1, c2), c3), c4);\\n    // In this case, the X is also outside of the main shape\\n    float Xmask = length(P) - size / 1.6;  // a circle\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    return min(max(X, Xmask), almost);\\n}\\n',s.squarex=\"\\nfloat marker(vec2 P, float size)\\n{\\n    float x = P.x - P.y;\\n    float y = P.x + P.y;\\n    // Define quadrants\\n    float qs = size / 2.0;  // quadrant size\\n    float s1 = max(abs(x - qs), abs(y - qs)) - qs;\\n    float s2 = max(abs(x + qs), abs(y - qs)) - qs;\\n    float s3 = max(abs(x - qs), abs(y + qs)) - qs;\\n    float s4 = max(abs(x + qs), abs(y + qs)) - qs;\\n    // Intersect main shape with quadrants (to form cross)\\n    float square = max(abs(P.x), abs(P.y)) - size/2.0;\\n    float c1 = max(square, s1);\\n    float c2 = max(square, s2);\\n    float c3 = max(square, s3);\\n    float c4 = max(square, s4);\\n    // Union\\n    return min(min(min(c1, c2), c3), c4);\\n}\\n\",s.asterisk='\\nfloat marker(vec2 P, float size)\\n{\\n    // Masks\\n    float diamond = max(abs(SQRT_2 / 2.0 * (P.x - P.y)), abs(SQRT_2 / 2.0 * (P.x + P.y))) - size / (2.0 * SQRT_2);\\n    float square = max(abs(P.x), abs(P.y)) - size / (2.0 * SQRT_2);\\n    // Shapes\\n    float X = min(abs(P.x - P.y), abs(P.x + P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    float cross = min(abs(P.x), abs(P.y)) - size / 100.0;  // bit of \"width\" for aa\\n    // Result is union of masked shapes\\n    return min(max(X, diamond), max(cross, square));\\n}\\n'},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=e(1),i=e(93),l=e(28),s=a.__importStar(e(18));class c extends i.XYGlyphView{}n.CenterRotatableView=c,c.__name__=\"CenterRotatableView\";class o extends i.XYGlyph{constructor(e){super(e)}static init_CenterRotatable(){this.mixins([l.LineVector,l.FillVector]),this.define({angle:[s.AngleSpec,0],width:[s.DistanceSpec],height:[s.DistanceSpec]})}}n.CenterRotatable=o,o.__name__=\"CenterRotatable\",o.init_CenterRotatable()},\n      function _(e,l,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(243);class t extends s.EllipseOvalView{}i.EllipseView=t,t.__name__=\"EllipseView\";class _ extends s.EllipseOval{constructor(e){super(e)}static init_Ellipse(){this.prototype.default_view=t}}i.Ellipse=_,_.__name__=\"Ellipse\",_.init_Ellipse()},\n      function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),h=t(241),a=e.__importStar(t(101)),r=t(88);class n extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){\"data\"==this.model.properties.width.units?this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"):this.sw=this._width,\"data\"==this.model.properties.height.units?this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"):this.sh=this._height}_render(t,s,{sx:i,sy:e,sw:h,sh:a,_angle:r}){for(const n of s)isNaN(i[n]+e[n]+h[n]+a[n]+r[n])||(t.beginPath(),t.ellipse(i[n],e[n],h[n]/2,a[n]/2,r[n],0,2*Math.PI),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,n),t.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,n),t.stroke()))}_hit_point(t){let s,i,e,h,n,_,l,d,o;const{sx:x,sy:m}=t,w=this.renderer.xscale.invert(x),c=this.renderer.yscale.invert(m);\"data\"==this.model.properties.width.units?(s=w-this.max_width,i=w+this.max_width):(_=x-this.max_width,l=x+this.max_width,[s,i]=this.renderer.xscale.r_invert(_,l)),\"data\"==this.model.properties.height.units?(e=c-this.max_height,h=c+this.max_height):(d=m-this.max_height,o=m+this.max_height,[e,h]=this.renderer.yscale.r_invert(d,o));const p=this.index.indices({x0:s,x1:i,y0:e,y1:h}),y=[];for(const t of p)n=a.point_in_ellipse(x,m,this._angle[t],this.sh[t]/2,this.sw[t]/2,this.sx[t],this.sy[t]),n&&y.push(t);return new r.Selection({indices:y})}draw_legend_for_index(t,{x0:s,y0:i,x1:e,y1:h},a){const r=a+1,n=new Array(r);n[a]=(s+e)/2;const _=new Array(r);_[a]=(i+h)/2;const l=this.sw[a]/this.sh[a],d=.8*Math.min(Math.abs(e-s),Math.abs(h-i)),o=new Array(r),x=new Array(r);l>1?(o[a]=d,x[a]=d/l):(o[a]=d*l,x[a]=d),this._render(t,[a],{sx:n,sy:_,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=n,n.__name__=\"EllipseOvalView\";class _ extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=_,_.__name__=\"EllipseOval\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),h=t(245),r=t(24),_=i.__importStar(t(18));class a extends h.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,this.sy[t]]}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new r.NumberArray(t),this.sbottom=new r.NumberArray(t);for(let e=0;e<t;e++)this.stop[e]=this.sy[e]-this.sh[e]/2,this.sbottom[e]=this.sy[e]+this.sh[e]/2;this._clamp_viewport()}}s.HBarView=a,a.__name__=\"HBarView\";class o extends h.Box{constructor(t){super(t)}static init_HBar(){this.prototype.default_view=a,this.define({left:[_.XCoordinateSpec,{value:0}],y:[_.YCoordinateSpec,{field:\"y\"}],height:[_.NumberSpec,{value:1}],right:[_.XCoordinateSpec,{field:\"right\"}]})}}s.HBar=o,o.__name__=\"HBar\",o.init_HBar()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(28),r=t(94),n=t(100),a=t(88);class h extends r.GlyphView{get_anchor_point(t,e,i){const s=Math.min(this.sleft[e],this.sright[e]),r=Math.max(this.sright[e],this.sleft[e]),n=Math.min(this.stop[e],this.sbottom[e]),a=Math.max(this.sbottom[e],this.stop[e]);switch(t){case\"top_left\":return{x:s,y:n};case\"top_center\":return{x:(s+r)/2,y:n};case\"top_right\":return{x:r,y:n};case\"bottom_left\":return{x:s,y:a};case\"bottom_center\":return{x:(s+r)/2,y:a};case\"bottom_right\":return{x:r,y:a};case\"center_left\":return{x:s,y:(n+a)/2};case\"center\":return{x:(s+r)/2,y:(n+a)/2};case\"center_right\":return{x:r,y:(n+a)/2};default:return null}}_index_data(t){const{min:e,max:i}=Math,{data_size:s}=this;for(let r=0;r<s;r++){const[s,n,a,h]=this._lrtb(r);isNaN(s+n+a+h)||!isFinite(s+n+a+h)?t.add_empty():t.add(e(s,n),e(a,h),i(n,s),i(a,h))}}_render(t,e,{sleft:i,sright:s,stop:r,sbottom:n}){for(const a of e)isNaN(i[a]+r[a]+s[a]+n[a])||(t.rect(i[a],r[a],s[a]-i[a],n[a]-r[a]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(t,a),t.beginPath(),t.rect(i[a],r[a],s[a]-i[a],n[a]-r[a]),t.fill()),this.visuals.hatch.doit2(t,a,()=>{t.beginPath(),t.rect(i[a],r[a],s[a]-i[a],n[a]-r[a]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,a),t.beginPath(),t.rect(i[a],r[a],s[a]-i[a],n[a]-r[a]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;s<i;s++)this.stop[s]=Math.max(this.stop[s],e.start),this.sbottom[s]=Math.min(this.sbottom[s],e.end),this.sleft[s]=Math.max(this.sleft[s],t.start),this.sright[s]=Math.min(this.sright[s],t.end)}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){const{sx:e,sy:i}=t,s=this.renderer.xscale.invert(e),r=this.renderer.yscale.invert(i),n=[...this.index.indices({x0:s,y0:r,x1:s,y1:r})];return new a.Selection({indices:n})}_hit_span(t){const{sx:e,sy:i}=t;let s;if(\"v\"==t.direction){const t=this.renderer.yscale.invert(i),e=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(e.start,e.end);s=[...this.index.indices({x0:r,y0:t,x1:n,y1:t})]}else{const t=this.renderer.xscale.invert(e),i=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(i.start,i.end);s=[...this.index.indices({x0:t,y0:r,x1:t,y1:n})]}return new a.Selection({indices:s})}draw_legend_for_index(t,e,i){n.generic_area_legend(this.visuals,t,e,i)}}i.BoxView=h,h.__name__=\"BoxView\";class o extends r.Glyph{constructor(t){super(t)}static init_Box(){this.mixins([s.LineVector,s.FillVector,s.HatchVector])}}i.Box=o,o.__name__=\"Box\",o.init_Box()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(94),n=i.__importStar(e(101)),a=i.__importStar(e(18)),o=e(28),c=e(24),_=e(37),h=e(100),l=e(88);class d extends r.GlyphView{scenterxy(e){return[this.sx[e],this.sy[e]]}_set_data(){const e=this._q.length,{orientation:t,size:s,aspect_scale:i}=this.model;this._x=new c.NumberArray(e),this._y=new c.NumberArray(e);const r=Math.sqrt(3);if(\"pointytop\"==t)for(let t=0;t<e;t++)this._x[t]=s*r*(this._q[t]+this._r[t]/2)/i,this._y[t]=3*-s/2*this._r[t];else for(let t=0;t<e;t++)this._x[t]=3*s/2*this._q[t],this._y[t]=-s*r*(this._r[t]+this._q[t]/2)*i}_project_data(){_.inplace.project_xy(this._x,this._y)}_index_data(e){let t=this.model.size,s=Math.sqrt(3)*t/2;\"flattop\"==this.model.orientation?([s,t]=[t,s],t*=this.model.aspect_scale):s/=this.model.aspect_scale;const{data_size:i}=this;for(let r=0;r<i;r++){const i=this._x[r],n=this._y[r];isNaN(i+n)||!isFinite(i+n)?e.add_empty():e.add(i-s,n-t,i+s,n+t)}}map_data(){[this.sx,this.sy]=this.renderer.coordinates.map_to_screen(this._x,this._y),[this.svx,this.svy]=this._get_unscaled_vertices()}_get_unscaled_vertices(){const e=this.model.size,t=this.model.aspect_scale;if(\"pointytop\"==this.model.orientation){const s=this.renderer.yscale,i=this.renderer.xscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))/t,a=r/2;return[[0,-n,-n,0,n,n],[r,a,-a,-r,-a,a]]}{const s=this.renderer.xscale,i=this.renderer.yscale,r=Math.abs(s.compute(0)-s.compute(e)),n=Math.sqrt(3)/2*Math.abs(i.compute(0)-i.compute(e))*t,a=r/2;return[[r,a,-a,-r,-a,a],[0,-n,-n,0,n,n]]}}_render(e,t,{sx:s,sy:i,svx:r,svy:n,_scale:a}){for(const o of t)if(!isNaN(s[o]+i[o]+a[o])){e.translate(s[o],i[o]),e.beginPath();for(let t=0;t<6;t++)e.lineTo(r[t]*a[o],n[t]*a[o]);e.closePath(),e.translate(-s[o],-i[o]),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,o),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,o),e.stroke())}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),r=this.renderer.yscale.invert(s),a=this.index.indices({x0:i,y0:r,x1:i,y1:r}),o=[];for(const e of a)n.point_in_poly(t-this.sx[e],s-this.sy[e],this.svx,this.svy)&&o.push(e);return new l.Selection({indices:o})}_hit_span(e){const{sx:t,sy:s}=e;let i;if(\"v\"==e.direction){const e=this.renderer.yscale.invert(s),t=this.renderer.plot_view.frame.bbox.h_range,[r,n]=this.renderer.xscale.r_invert(t.start,t.end);i=[...this.index.indices({x0:r,y0:e,x1:n,y1:e})]}else{const e=this.renderer.xscale.invert(t),s=this.renderer.plot_view.frame.bbox.v_range,[r,n]=this.renderer.yscale.r_invert(s.start,s.end);i=[...this.index.indices({x0:e,y0:r,x1:e,y1:n})]}return new l.Selection({indices:i})}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(t,s),[o,c]=this.renderer.yscale.r_invert(i,r),_=[...this.index.indices({x0:n,x1:a,y0:o,y1:c})];return new l.Selection({indices:_})}draw_legend_for_index(e,t,s){h.generic_area_legend(this.visuals,e,t,s)}}s.HexTileView=d,d.__name__=\"HexTileView\";class x extends r.Glyph{constructor(e){super(e)}static init_HexTile(){this.prototype.default_view=d,this.mixins([o.LineVector,o.FillVector]),this.define({r:[a.NumberSpec],q:[a.NumberSpec],size:[a.Number,1],aspect_scale:[a.Number,1],scale:[a.NumberSpec,1],orientation:[a.HexTileOrientation,\"pointytop\"]}),this.override({line_color:null})}}s.HexTile=x,x.__name__=\"HexTile\",x.init_HexTile()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(1),i=e(248),n=e(141),s=_.__importStar(e(18));class r extends i.ImageBaseView{connect_signals(){super.connect_signals(),this.connect(this.model.color_mapper.change,()=>this._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(93),h=e(24),_=i.__importStar(e(18)),n=e(88),r=e(9),d=e(30),l=e(11);class g extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:s,sx:i,sy:a,sw:h,sh:_}){const n=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const n of t){if(null==s[n]||isNaN(i[n]+a[n]+h[n]+_[n]))continue;const t=a[n];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(s[n],0|i[n],0|a[n],h[n],_[n]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(n)}_set_data(e){this._set_width_heigh_data();for(let t=0,s=this._image.length;t<s;t++){if(null!=e&&e.indexOf(t)<0)continue;const s=this._image[t];let i;d.is_NDArray(s)?(l.assert(2==s.dimension,\"expected a 2D array\"),i=s,this._height[t]=s.shape[0],this._width[t]=s.shape[1]):(i=r.concat(s),this._height[t]=s.length,this._width[t]=s[0].length);const a=this._flat_img_to_buf8(i);this._set_image_data_from_buffer(t,a)}}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const[t,i,a,h]=this._lrtb(s);isNaN(t+i+a+h)||!isFinite(t+i+a+h)?e.add_empty():e.add(t,h,i,a)}}_lrtb(e){const t=this.renderer.xscale.source_range,s=this._x[e],i=t.is_reversed?s-this._dw[e]:s+this._dw[e],a=this.renderer.yscale.source_range,h=this._y[e],_=a.is_reversed?h-this._dh[e]:h+this._dh[e],[n,r]=s<i?[s,i]:[i,s],[d,l]=h<_?[h,_]:[_,h];return[n,r,l,d]}_set_width_heigh_data(){null!=this.image_data&&this.image_data.length==this._image.length||(this.image_data=new Array(this._image.length)),null!=this._width&&this._width.length==this._image.length||(this._width=new h.NumberArray(this._image.length)),null!=this._height&&this._height.length==this._image.length||(this._height=new h.NumberArray(this._image.length))}_get_or_create_canvas(e){const t=this.image_data[e];if(null!=t&&t.width==this._width[e]&&t.height==this._height[e])return t;{const t=document.createElement(\"canvas\");return t.width=this._width[e],t.height=this._height[e],t}}_set_image_data_from_buffer(e,t){const s=this._get_or_create_canvas(e),i=s.getContext(\"2d\"),a=i.getImageData(0,0,this._width[e],this._height[e]);a.data.set(t),i.putImageData(a,0,0),this.image_data[e]=s}_map_data(){switch(this.model.properties.dw.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,this._dw,\"edge\",this.model.dilate);break;case\"screen\":this.sw=this._dw}switch(this.model.properties.dh.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,this._dh,\"edge\",this.model.dilate);break;case\"screen\":this.sh=this._dh}}_image_index(e,t,s){const[i,a,h,_]=this._lrtb(e),n=this._width[e],r=this._height[e],d=(a-i)/n,l=(h-_)/r;let g=Math.floor((t-i)/d),o=Math.floor((s-_)/l);return this.renderer.xscale.source_range.is_reversed&&(g=n-g-1),this.renderer.yscale.source_range.is_reversed&&(o=r-o-1),{index:e,dim1:g,dim2:o,flat_index:o*n+g}}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),a=this.renderer.yscale.invert(s),h=this.index.indices({x0:i,x1:i,y0:a,y1:a}),_=new n.Selection;for(const e of h)t!=1/0&&s!=1/0&&_.image_indices.push(this._image_index(e,i,a));return _}}s.ImageBaseView=g,g.__name__=\"ImageBaseView\";class o extends a.XYGlyph{constructor(e){super(e)}static init_ImageBase(){this.define({image:[_.NDArraySpec],dw:[_.DistanceSpec],dh:[_.DistanceSpec],dilate:[_.Boolean,!1],global_alpha:[_.Number,1]})}}s.ImageBase=o,o.__name__=\"ImageBase\",o.init_ImageBase()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const _=e(248),i=e(8);class n extends _.ImageBaseView{_flat_img_to_buf8(e){let t;return t=i.isArray(e)?new Uint32Array(e):e,new Uint8Array(t.buffer)}}a.ImageRGBAView=n,n.__name__=\"ImageRGBAView\";class r extends _.ImageBase{constructor(e){super(e)}static init_ImageRGBA(){this.prototype.default_view=n}}a.ImageRGBA=r,r.__name__=\"ImageRGBA\",r.init_ImageRGBA()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),i=e(93),a=e(24),n=r.__importStar(e(18)),h=e(12),o=e(251);class _ extends i.XYGlyphView{constructor(){super(...arguments),this._images_rendered=!1}initialize(){super.initialize(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++)e.add_empty()}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=h.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,r=this._url.length;s<r;s++){const r=this._url[s];null!=r&&\"\"!=r&&new o.ImageLoader(r,{loaded:e=>{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,r=\"data\"==this.model.properties.h.units,i=this._x.length,n=new a.NumberArray(s?2*i:i),_=new a.NumberArray(r?2*i:i),{anchor:c}=this.model;function l(e,t){switch(c){case\"top_left\":case\"bottom_left\":case\"center_left\":return[e,e+t];case\"top_center\":case\"bottom_center\":case\"center\":return[e-t/2,e+t/2];case\"top_right\":case\"bottom_right\":case\"center_right\":return[e-t,e]}}function d(e,t){switch(c){case\"top_left\":case\"top_center\":case\"top_right\":return[e,e-t];case\"bottom_left\":case\"bottom_center\":case\"bottom_right\":return[e+t,e];case\"center_left\":case\"center\":case\"center_right\":return[e+t/2,e-t/2]}}if(s)for(let e=0;e<i;e++)[n[e],n[i+e]]=l(this._x[e],this._w[e]);else n.set(this._x,0);if(r)for(let e=0;e<i;e++)[_[e],_[i+e]]=d(this._y[e],this._h[e]);else _.set(this._y,0);const[m,u]=h.minmax(n),[p,g]=h.minmax(_);this._bounds_rect={x0:m,x1:u,y0:p,y1:g}}has_finished(){return super.has_finished()&&1==this._images_rendered}_map_data(){const e=null!=this.model.w?this._w:h.map(this._x,()=>NaN),t=null!=this.model.h?this._h:h.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:r,sy:i,sw:a,sh:n,_angle:h}){const{frame:o}=this.renderer.plot_view;e.rect(o.bbox.left+1,o.bbox.top+1,o.bbox.width-2,o.bbox.height-2),e.clip();let _=!0;for(const o of t){if(isNaN(r[o]+i[o]+h[o]))continue;const t=s[o];null!=t?this._render_image(e,o,t,r,i,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,r,i){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-r/2,s];case\"top_right\":return[t-r,s];case\"center_right\":return[t-r,s-i/2];case\"bottom_right\":return[t-r,s-i];case\"bottom_center\":return[t-r/2,s-i];case\"bottom_left\":return[t,s-i];case\"center_left\":return[t,s-i/2];case\"center\":return[t-r/2,s-i/2]}}_render_image(e,t,s,r,i,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:o}=this.model,[_,c]=this._final_sx_sy(o,r[t],i[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const l=a[t]/2,d=n[t]/2;h[t]?(e.translate(_,c),e.translate(l,d),e.rotate(h[t]),e.translate(-l,-d),e.drawImage(s,0,0,a[t],n[t]),e.translate(l,d),e.rotate(-h[t]),e.translate(-l,-d),e.translate(-_,-c)):e.drawImage(s,_,c,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class c extends i.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[n.StringSpec],anchor:[n.Anchor,\"top_left\"],global_alpha:[n.Number,1],angle:[n.AngleSpec,0],w:[n.DistanceSpec],h:[n.DistanceSpec],dilate:[n.Boolean,!1],retry_attempts:[n.Number,0],retry_timeout:[n.Number,0]})}}s.ImageURL=c,c.__name__=\"ImageURL\",c.init_ImageURL()},\n      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(19);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(37),o=e(28),l=s.__importStar(e(101)),r=s.__importStar(e(18)),_=e(12),c=e(13),a=e(94),h=e(100),d=e(88);class y extends a.GlyphView{_project_data(){n.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let i=0;i<t;i++){const t=this._xs.get(i);if(0==t.length){e.add_empty();continue}const s=this._ys.get(i);if(0==s.length){e.add_empty();continue}const[n,o]=_.minmax(t),[l,r]=_.minmax(s);e.add(n,l,o,r)}}_render(e,t,{sxs:i,sys:s}){for(const n of t){const t=i.get(n),o=s.get(n);this.visuals.line.set_vectorize(e,n);for(let i=0,s=t.length;i<s;i++)0!=i?isNaN(t[i])||isNaN(o[i])?(e.stroke(),e.beginPath()):e.lineTo(t[i],o[i]):(e.beginPath(),e.moveTo(t[i],o[i]));e.stroke()}}_hit_point(e){const t={x:e.sx,y:e.sy};let i=9999;const s=new Map;for(let e=0,n=this.sxs.length;e<n;e++){const n=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2),o=this.sxs.get(e),r=this.sys.get(e);let _=null;for(let e=0,s=o.length-1;e<s;e++){const s={x:o[e],y:r[e]},c={x:o[e+1],y:r[e+1]},a=l.dist_to_segment(t,s,c);a<n&&a<i&&(i=a,_=[e])}null!=_&&s.set(e,_)}return new d.Selection({indices:[...s.keys()],multiline_indices:c.to_object(s)})}_hit_span(e){const{sx:t,sy:i}=e;let s,n;\"v\"==e.direction?(s=this.renderer.yscale.invert(i),n=this._ys):(s=this.renderer.xscale.invert(t),n=this._xs);const o=new Map;for(let e=0,t=n.length;e<t;e++){const t=n.get(e),i=[];for(let e=0,n=t.length-1;e<n;e++)t[e]<=s&&s<=t[e+1]&&i.push(e);i.length>0&&o.set(e,i)}return new d.Selection({indices:[...o.keys()],multiline_indices:c.to_object(o)})}get_interpolation_hit(e,t,i){const s=this._xs.get(e),n=this._ys.get(e),o=s[t],l=n[t],r=s[t+1],_=n[t+1];return h.line_interpolation(this.renderer,i,o,l,r,_)}draw_legend_for_index(e,t,i){h.generic_line_legend(this.visuals,e,t,i)}scenterxy(){throw new Error(this+\".scenterxy() is not implemented\")}}i.MultiLineView=y,y.__name__=\"MultiLineView\";class x extends a.Glyph{constructor(e){super(e)}static init_MultiLine(){this.prototype.default_view=y,this.define({xs:[r.XCoordinateSeqSpec,{field:\"xs\"}],ys:[r.YCoordinateSeqSpec,{field:\"ys\"}]}),this.mixins(o.LineVector)}}i.MultiLine=x,x.__name__=\"MultiLine\",x.init_MultiLine()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(95),o=e(94),r=e(100),l=e(12),h=e(12),_=e(28),a=i.__importStar(e(101)),d=i.__importStar(e(18)),c=e(88),x=e(11);class y extends o.GlyphView{_project_data(){}_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let n=0;n<i;n++){const i=this._xs[n],o=this._ys[n];if(0==i.length||0==o.length){e.add_empty();continue}let r=1/0,h=-1/0,_=1/0,a=-1/0;for(let e=0,n=i.length;e<n;e++){const n=i[e][0],d=o[e][0];if(0!=n.length&&0!=d.length){const[e,i]=l.minmax(n),[o,c]=l.minmax(d);r=t(r,e),h=s(h,i),_=t(_,o),a=s(a,c)}}isFinite(r+h+_+a)?e.add(r,_,h,a):e.add_empty()}this._hole_index=this._index_hole_data()}_index_hole_data(){const{min:e,max:t}=Math,{data_size:s}=this,i=new n.SpatialIndex(s);for(let n=0;n<s;n++){const s=this._xs[n],o=this._ys[n];if(0==s.length||0==o.length){i.add_empty();continue}let r=1/0,h=-1/0,_=1/0,a=-1/0;for(let i=0,n=s.length;i<n;i++){const n=s[i],d=o[i];if(n.length>1&&d.length>1)for(let s=1,i=n.length;s<i;s++){const[i,o]=l.minmax(n[s]),[c,x]=l.minmax(d[s]);r=e(r,i),h=t(h,o),_=e(_,c),a=t(a,x)}}isFinite(r+h+_+a)?i.add(r,_,h,a):i.add_empty()}return i.finish(),i}_mask_data(){const e=this.renderer.plot_view.frame.x_range,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_range,[n,o]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:o})}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i<n;i++)for(let n=0,o=t[i].length;n<o;n++){const o=t[i][n],r=s[i][n];for(let t=0,s=o.length;t<s;t++)0!=t?e.lineTo(o[t],r[t]):e.moveTo(o[t],r[t]);e.closePath()}}_render(e,t,{sxs:s,sys:i}){if(this.visuals.fill.doit||this.visuals.line.doit)for(const n of t){const[t,o]=[s[n],i[n]];this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,o),e.fill(\"evenodd\")),this.visuals.hatch.doit2(e,n,()=>{this._inner_loop(e,t,o),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,o),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,o=[t,s,s,t],r=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(const e of x){const t=this.sxs[e],s=this.sys[e];let i=!0;for(let e=0,n=t.length;e<n;e++){for(let n=0,l=t[e][0].length;n<l;n++){const l=t[e][0][n],h=s[e][0][n];if(!a.point_in_poly(l,h,o,r)){i=!1;break}}if(!i)break}i&&y.push(e)}return new c.Selection({indices:y})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),o=this.index.indices({x0:i,y0:n,x1:i,y1:n}),r=this._hole_index.indices({x0:i,y0:n,x1:i,y1:n}),l=[];for(const e of o){const i=this.sxs[e],n=this.sys[e];for(let o=0,h=i.length;o<h;o++){const h=i[o].length;if(a.point_in_poly(t,s,i[o][0],n[o][0]))if(1==h)l.push(e);else if(r.get(e)){if(h>1){let r=!1;for(let e=1;e<h;e++){const l=i[o][e],h=n[o][e];if(a.point_in_poly(t,s,l,h)){r=!0;break}}r||l.push(e)}}else l.push(e)}}return new c.Selection({indices:l})}_get_snap_coord(e){return h.sum(e)/e.length}scenterxy(e,t,s){if(1==this.sxs[e].length){return[this._get_snap_coord(this.sxs[e][0][0]),this._get_snap_coord(this.sys[e][0][0])]}{const i=this.sxs[e],n=this.sys[e];for(let e=0,o=i.length;e<o;e++)if(a.point_in_poly(t,s,i[e][0],n[e][0])){return[this._get_snap_coord(i[e][0]),this._get_snap_coord(n[e][0])]}}x.unreachable()}map_data(){const e=this._xs.length;this.sxs=new Array(e),this.sys=new Array(e);for(let t=0;t<e;t++){const e=this._xs[t].length;this.sxs[t]=new Array(e),this.sys[t]=new Array(e);for(let s=0;s<e;s++){const e=this._xs[t][s].length;this.sxs[t][s]=new Array(e),this.sys[t][s]=new Array(e);for(let i=0;i<e;i++){const[e,n]=this.renderer.coordinates.map_to_screen(this._xs[t][s][i],this._ys[t][s][i]);this.sxs[t][s][i]=e,this.sys[t][s][i]=n}}}}draw_legend_for_index(e,t,s){r.generic_area_legend(this.visuals,e,t,s)}}s.MultiPolygonsView=y,y.__name__=\"MultiPolygonsView\";class f extends o.Glyph{constructor(e){super(e)}static init_MultiPolygons(){this.prototype.default_view=y,this.define({xs:[d.XCoordinateSeqSeqSeqSpec,{field:\"xs\"}],ys:[d.YCoordinateSeqSeqSeqSpec,{field:\"ys\"}]}),this.mixins([_.LineVector,_.FillVector,_.HatchVector])}}s.MultiPolygons=f,f.__name__=\"MultiPolygons\",f.init_MultiPolygons()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const l=e(243);class s extends l.EllipseOvalView{_map_data(){super._map_data();const{sw:e}=this,t=e.length;for(let a=0;a<t;a++)e[a]*=.75}}a.OvalView=s,s.__name__=\"OvalView\";class _ extends l.EllipseOval{constructor(e){super(e)}static init_Oval(){this.prototype.default_view=s}}a.Oval=_,_.__name__=\"Oval\",_.init_Oval()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(94),r=e(100),o=e(12),a=e(28),_=i.__importStar(e(101)),c=i.__importStar(e(18)),l=e(88),h=e(11),d=e(37);class y extends n.GlyphView{_project_data(){d.inplace.project_xy(this._xs.array,this._ys.array)}_index_data(e){const{data_size:t}=this;for(let s=0;s<t;s++){const t=this._xs.get(s),i=this._ys.get(s);if(0==t.length)e.add_empty();else{const[s,n]=o.minmax(t),[r,a]=o.minmax(i);e.add(s,r,n,a)}}}_mask_data(){const e=this.renderer.plot_view.frame.x_range,[t,s]=[e.min,e.max],i=this.renderer.plot_view.frame.y_range,[n,r]=[i.min,i.max];return this.index.indices({x0:t,x1:s,y0:n,y1:r})}_inner_loop(e,t,s,i){for(let n=0,r=t.length;n<r;n++)0!=n?isNaN(t[n]+s[n])?(e.closePath(),i.apply(e),e.beginPath()):e.lineTo(t[n],s[n]):(e.beginPath(),e.moveTo(t[n],s[n]));e.closePath(),i.call(e)}_render(e,t,{sxs:s,sys:i}){for(const n of t){const t=s.get(n),r=i.get(n);this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,n),this._inner_loop(e,t,r,e.fill)),this.visuals.hatch.doit2(e,n,()=>this._inner_loop(e,t,r,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r,e.stroke))}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[a,c]=this.renderer.xscale.r_invert(t,s),[h,d]=this.renderer.yscale.r_invert(i,n),y=this.index.indices({x0:a,x1:c,y0:h,y1:d}),p=[];for(const e of y){const t=this.sxs.get(e),s=this.sys.get(e);let i=!0;for(let e=0,n=t.length;e<n;e++){const n=t[e],a=s[e];if(!_.point_in_poly(n,a,r,o)){i=!1;break}}i&&p.push(e)}return new l.Selection({indices:p})}_hit_point(e){const{sx:t,sy:s}=e,i=this.renderer.xscale.invert(t),n=this.renderer.yscale.invert(s),r=this.index.indices({x0:i,y0:n,x1:i,y1:n}),o=[];for(const e of r){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;for(let a=0,c=0;;c++){if(isNaN(i[c])||c==r){const r=i.subarray(a,c),l=n.subarray(a,c);if(_.point_in_poly(t,s,r,l)){o.push(e);break}a=c+1}if(c==r)break}}return new l.Selection({indices:o})}_get_snap_coord(e){return o.sum(e)/e.length}scenterxy(e,t,s){const i=this.sxs.get(e),n=this.sys.get(e),r=i.length;let o=!1;for(let e=0,a=0;;a++){const c=isNaN(i[a]);if(o=o||c,a==r&&!o){return[this._get_snap_coord(i),this._get_snap_coord(n)]}if(c||a==r){const r=i.subarray(e,a),o=n.subarray(e,a);if(_.point_in_poly(t,s,r,o)){return[this._get_snap_coord(r),this._get_snap_coord(o)]}e=a+1}if(a==r)break}h.unreachable()}draw_legend_for_index(e,t,s){r.generic_area_legend(this.visuals,e,t,s)}}s.PatchesView=y,y.__name__=\"PatchesView\";class p extends n.Glyph{constructor(e){super(e)}static init_Patches(){this.prototype.default_view=y,this.define({xs:[c.XCoordinateSeqSpec,{field:\"xs\"}],ys:[c.YCoordinateSeqSpec,{field:\"ys\"}]}),this.mixins([a.LineVector,a.FillVector,a.HatchVector])}}s.Patches=p,p.__name__=\"Patches\",p.init_Patches()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1),s=t(245),r=o.__importStar(t(18));class _ extends s.BoxView{scenterxy(t){return[(this.sleft[t]+this.sright[t])/2,(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){return[this._left[t],this._right[t],this._top[t],this._bottom[t]]}}i.QuadView=_,_.__name__=\"QuadView\";class d extends s.Box{constructor(t){super(t)}static init_Quad(){this.prototype.default_view=_,this.define({right:[r.XCoordinateSpec,{field:\"right\"}],bottom:[r.YCoordinateSpec,{field:\"bottom\"}],left:[r.XCoordinateSpec,{field:\"left\"}],top:[r.YCoordinateSpec,{field:\"top\"}]})}}i.Quad=d,d.__name__=\"Quad\",d.init_Quad()},\n      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(1),a=i(28),_=i(37),c=i(94),n=i(100),r=s.__importStar(i(18));function o(i,e,t){if(e==(i+t)/2)return[i,t];{const s=(i-e)/(i-2*e+t),a=i*(1-s)**2+2*e*(1-s)*s+t*s**2;return[Math.min(i,t,a),Math.max(i,t,a)]}}class d extends c.GlyphView{_project_data(){_.inplace.project_xy(this._x0,this._y0),_.inplace.project_xy(this._x1,this._y1)}_index_data(i){const{data_size:e}=this;for(let t=0;t<e;t++)if(isNaN(this._x0[t]+this._x1[t]+this._y0[t]+this._y1[t]+this._cx[t]+this._cy[t]))i.add_empty();else{const[e,s]=o(this._x0[t],this._cx[t],this._x1[t]),[a,_]=o(this._y0[t],this._cy[t],this._y1[t]);i.add(e,a,s,_)}}_render(i,e,{sx0:t,sy0:s,sx1:a,sy1:_,scx:c,scy:n}){if(this.visuals.line.doit)for(const r of e)isNaN(t[r]+s[r]+a[r]+_[r]+c[r]+n[r])||(i.beginPath(),i.moveTo(t[r],s[r]),i.quadraticCurveTo(c[r],n[r],a[r],_[r]),this.visuals.line.set_vectorize(i,r),i.stroke())}draw_legend_for_index(i,e,t){n.generic_line_legend(this.visuals,i,e,t)}scenterxy(){throw new Error(this+\".scenterxy() is not implemented\")}}t.QuadraticView=d,d.__name__=\"QuadraticView\";class h extends c.Glyph{constructor(i){super(i)}static init_Quadratic(){this.prototype.default_view=d,this.define({x0:[r.XCoordinateSpec,{field:\"x0\"}],y0:[r.YCoordinateSpec,{field:\"y0\"}],x1:[r.XCoordinateSpec,{field:\"x1\"}],y1:[r.YCoordinateSpec,{field:\"y1\"}],cx:[r.XCoordinateSpec,{field:\"cx\"}],cy:[r.YCoordinateSpec,{field:\"cy\"}]}),this.mixins(a.LineVector)}}t.Quadratic=h,h.__name__=\"Quadratic\",h.init_Quadratic()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(93),a=e(100),r=e(28),l=s.__importStar(e(18));class _ extends n.XYGlyphView{_map_data(){\"data\"==this.model.properties.length.units?this.slength=this.sdist(this.renderer.xscale,this._x,this._length):this.slength=this._length}_render(e,t,{sx:i,sy:s,slength:n,_angle:a}){if(this.visuals.line.doit){const r=2*(this.renderer.plot_view.frame.bbox.width+this.renderer.plot_view.frame.bbox.height);for(let e=0,t=n.length;e<t;e++)0==n[e]&&(n[e]=r);for(const r of t)isNaN(i[r]+s[r]+a[r]+n[r])||(e.translate(i[r],s[r]),e.rotate(a[r]),e.beginPath(),e.moveTo(0,0),e.lineTo(n[r],0),this.visuals.line.set_vectorize(e,r),e.stroke(),e.rotate(-a[r]),e.translate(-i[r],-s[r]))}}draw_legend_for_index(e,t,i){a.generic_line_legend(this.visuals,e,t,i)}}i.RayView=_,_.__name__=\"RayView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Ray(){this.prototype.default_view=_,this.mixins(r.LineVector),this.define({length:[l.DistanceSpec],angle:[l.AngleSpec]})}}i.Ray=h,h.__name__=\"Ray\",h.init_Ray()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(241),r=t(100),a=t(24),n=i.__importStar(t(18)),_=t(12),o=t(88);class l extends h.CenterRotatableView{_set_data(){this.max_w2=0,\"data\"==this.model.properties.width.units&&(this.max_w2=this.max_width/2),this.max_h2=0,\"data\"==this.model.properties.height.units&&(this.max_h2=this.max_height/2)}_map_data(){if(\"data\"==this.model.properties.width.units)[this.sw,this.sx0]=this._map_dist_corner_for_data_side_length(this._x,this._width,this.renderer.xscale);else{this.sw=this._width;const t=this.sx.length;this.sx0=new a.NumberArray(t);for(let s=0;s<t;s++)this.sx0[s]=this.sx[s]-this.sw[s]/2}if(\"data\"==this.model.properties.height.units)[this.sh,this.sy1]=this._map_dist_corner_for_data_side_length(this._y,this._height,this.renderer.yscale);else{this.sh=this._height;const t=this.sy.length;this.sy1=new a.NumberArray(t);for(let s=0;s<t;s++)this.sy1[s]=this.sy[s]-this.sh[s]/2}const t=this.sw.length;this.ssemi_diag=new a.NumberArray(t);for(let s=0;s<t;s++)this.ssemi_diag[s]=Math.sqrt(this.sw[s]/2*this.sw[s]/2+this.sh[s]/2*this.sh[s]/2)}_render(t,s,{sx:e,sy:i,sx0:h,sy1:r,sw:a,sh:n,_angle:_}){if(this.visuals.fill.doit)for(const o of s)isNaN(e[o]+i[o]+h[o]+r[o]+a[o]+n[o]+_[o])||(this.visuals.fill.set_vectorize(t,o),_[o]?(t.translate(e[o],i[o]),t.rotate(_[o]),t.fillRect(-a[o]/2,-n[o]/2,a[o],n[o]),t.rotate(-_[o]),t.translate(-e[o],-i[o])):t.fillRect(h[o],r[o],a[o],n[o]));if(this.visuals.line.doit){t.beginPath();for(const o of s)isNaN(e[o]+i[o]+h[o]+r[o]+a[o]+n[o]+_[o])||0!=a[o]&&0!=n[o]&&(_[o]?(t.translate(e[o],i[o]),t.rotate(_[o]),t.rect(-a[o]/2,-n[o]/2,a[o],n[o]),t.rotate(-_[o]),t.translate(-e[o],-i[o])):t.rect(h[o],r[o],a[o],n[o]),this.visuals.line.set_vectorize(t,o),t.stroke(),t.beginPath());t.stroke()}}_hit_rect(t){return this._hit_rect_against_index(t)}_hit_point(t){let{sx:s,sy:e}=t;const i=this.renderer.xscale.invert(s),h=this.renderer.yscale.invert(e),r=this.sx0.length,n=new a.NumberArray(r);for(let t=0;t<r;t++)n[t]=this.sx0[t]+this.sw[t]/2;const l=new a.NumberArray(r);for(let t=0;t<r;t++)l[t]=this.sy1[t]+this.sh[t]/2;const d=_.max(this._ddist(0,n,this.ssemi_diag)),c=_.max(this._ddist(1,l,this.ssemi_diag)),x=i-d,m=i+d,y=h-c,w=h+c;let f,u;const g=[];for(const t of this.index.indices({x0:x,x1:m,y0:y,y1:w})){if(this._angle[t]){const i=Math.sin(-this._angle[t]),h=Math.cos(-this._angle[t]),r=h*(s-this.sx[t])-i*(e-this.sy[t])+this.sx[t],a=i*(s-this.sx[t])+h*(e-this.sy[t])+this.sy[t];s=r,e=a,f=Math.abs(this.sx[t]-s)<=this.sw[t]/2,u=Math.abs(this.sy[t]-e)<=this.sh[t]/2}else{const i=s-this.sx0[t],h=e-this.sy1[t];f=0<=i&&i<=this.sw[t],u=0<=h&&h<=this.sh[t]}f&&u&&g.push(t)}return new o.Selection({indices:g})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),r=new Float64Array(i);for(let e=0;e<i;e++)h[e]=t[e]-s[e]/2,r[e]=t[e]+s[e]/2;const a=e.v_compute(h),n=e.v_compute(r),_=this.sdist(e,h,s,\"edge\",this.model.dilate);let o=a;for(let t=0;t<i;t++){const s=a[t],e=n[t];if(!isNaN(s+e)&&s!=e){o=s<e?a:n;break}}return[_,o]}_ddist(t,s,e){const i=0==t?this.renderer.xscale:this.renderer.yscale,h=s,r=h.length,n=new a.NumberArray(r);for(let t=0;t<r;t++)n[t]=h[t]+e[t];const _=i.v_invert(h),o=i.v_invert(n),l=_.length,d=new a.NumberArray(l);for(let t=0;t<l;t++)d[t]=Math.abs(o[t]-_[t]);return d}draw_legend_for_index(t,s,e){r.generic_area_legend(this.visuals,t,s,e)}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.RectView=l,l.__name__=\"RectView\";class d extends h.CenterRotatable{constructor(t){super(t)}static init_Rect(){this.prototype.default_view=l,this.define({dilate:[n.Boolean,!1]})}}e.Rect=d,d.__name__=\"Rect\",d.init_Rect()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=i.__importStar(e(101)),r=i.__importStar(e(18)),_=e(28),h=e(37),a=e(94),o=e(100),c=e(88);class d extends a.GlyphView{_project_data(){h.inplace.project_xy(this._x0,this._y0),h.inplace.project_xy(this._x1,this._y1)}_index_data(e){const{min:t,max:s}=Math,{data_size:i}=this;for(let n=0;n<i;n++){const i=this._x0[n],r=this._x1[n],_=this._y0[n],h=this._y1[n];isNaN(i+r+_+h)?e.add_empty():e.add(t(i,r),t(_,h),s(i,r),s(_,h))}}_render(e,t,{sx0:s,sy0:i,sx1:n,sy1:r}){if(this.visuals.line.doit)for(const _ of t)isNaN(s[_]+i[_]+n[_]+r[_])||(e.beginPath(),e.moveTo(s[_],i[_]),e.lineTo(n[_],r[_]),this.visuals.line.set_vectorize(e,_),e.stroke())}_hit_point(e){const{sx:t,sy:s}=e,i={x:t,y:s},[r,_]=this.renderer.xscale.r_invert(t-2,t+2),[h,a]=this.renderer.yscale.r_invert(s-2,s+2),o=this.index.indices({x0:r,y0:h,x1:_,y1:a}),d=[];for(const e of o){const t=Math.max(2,this.visuals.line.cache_select(\"line_width\",e)/2)**2,s={x:this.sx0[e],y:this.sy0[e]},r={x:this.sx1[e],y:this.sy1[e]};n.dist_to_segment_squared(i,s,r)<t&&d.push(e)}return new c.Selection({indices:d})}_hit_span(e){const[t,s]=this.renderer.plot_view.frame.bbox.ranges,{sx:i,sy:n}=e;let r,_,h;\"v\"==e.direction?(h=this.renderer.yscale.invert(n),[r,_]=[this._y0,this._y1]):(h=this.renderer.xscale.invert(i),[r,_]=[this._x0,this._x1]);const a=[],[o,d]=this.renderer.xscale.r_invert(t.start,t.end),[x,l]=this.renderer.yscale.r_invert(s.start,s.end),y=this.index.indices({x0:o,y0:x,x1:d,y1:l});for(const t of y){(r[t]<=h&&h<=_[t]||_[t]<=h&&h<=r[t])&&a.push(t);const s=1.5+this.visuals.line.cache_select(\"line_width\",t)/2;r[t]==_[t]&&(\"h\"==e.direction?Math.abs(this.sx0[t]-i)<=s&&a.push(t):Math.abs(this.sy0[t]-n)<=s&&a.push(t))}return new c.Selection({indices:a})}scenterxy(e){return[(this.sx0[e]+this.sx1[e])/2,(this.sy0[e]+this.sy1[e])/2]}draw_legend_for_index(e,t,s){o.generic_line_legend(this.visuals,e,t,s)}}s.SegmentView=d,d.__name__=\"SegmentView\";class x extends a.Glyph{constructor(e){super(e)}static init_Segment(){this.prototype.default_view=d,this.define({x0:[r.XCoordinateSpec,{field:\"x0\"}],y0:[r.YCoordinateSpec,{field:\"y0\"}],x1:[r.XCoordinateSpec,{field:\"x1\"}],y1:[r.YCoordinateSpec,{field:\"y1\"}]}),this.mixins(_.LineVector)}}s.Segment=x,x.__name__=\"Segment\",x.init_Segment()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(93),o=e(100),r=e(28),l=n.__importStar(e(18));class a extends s.XYGlyphView{_render(e,t,{sx:i,sy:n}){let s=!1,o=null;this.visuals.line.set_value(e);const r=t.length;if(!(r<2)){e.beginPath(),e.moveTo(i[0],n[0]);for(const r of t){let t,l,a,_;switch(this.model.mode){case\"before\":[t,a]=[i[r-1],n[r]],[l,_]=[i[r],n[r]];break;case\"after\":[t,a]=[i[r],n[r-1]],[l,_]=[i[r],n[r]];break;case\"center\":{const e=(i[r-1]+i[r])/2;[t,a]=[e,n[r-1]],[l,_]=[e,n[r]];break}default:throw new Error(\"unexpected\")}if(s){if(!isFinite(i[r]+n[r])){e.stroke(),e.beginPath(),s=!1,o=r;continue}null!=o&&r-o>1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),n=t(93),_=t(28),o=i.__importStar(t(101)),h=i.__importStar(t(18)),l=t(159),a=t(11),r=t(88);class c extends n.XYGlyphView{_rotate_point(t,s,e,i,n){return[(t-e)*Math.cos(n)-(s-i)*Math.sin(n)+e,(t-e)*Math.sin(n)+(s-i)*Math.cos(n)+i]}_text_bounds(t,s,e,i){return[[t,t+e,t+e,t,t],[s,s,s-i,s-i,s]]}_render(t,s,{sx:e,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const a of s)if(this._sxs[a]=[],this._sys[a]=[],!isNaN(e[a]+i[a]+n[a]+_[a]+o[a])&&null!=h[a]&&this.visuals.text.doit){const s=\"\"+h[a];t.save(),t.translate(e[a]+n[a],i[a]+_[a]),t.rotate(o[a]),this.visuals.text.set_vectorize(t,a);const r=this.visuals.text.cache_select(\"font\",a),{height:c}=l.measure_font(r),x=this.visuals.text.text_line_height.value()*c;if(-1==s.indexOf(\"\\n\")){t.fillText(s,0,0);const o=e[a]+n[a],h=i[a]+_[a],l=t.measureText(s).width,[r,c]=this._text_bounds(o,h,l,x);this._sxs[a].push(r),this._sys[a].push(c)}else{const o=s.split(\"\\n\"),h=x*o.length,l=this.visuals.text.cache_select(\"text_baseline\",a);let r;switch(l){case\"top\":r=0;break;case\"middle\":r=-h/2+x/2;break;case\"bottom\":r=-h+x;break;default:r=0,console.warn(`'${l}' baseline not supported with multi line text`)}for(const s of o){t.fillText(s,0,r);const o=e[a]+n[a],h=r+i[a]+_[a],l=t.measureText(s).width,[c,u]=this._text_bounds(o,h,l,x);this._sxs[a].push(c),this._sys[a].push(u),r+=x}}t.restore()}}_hit_point(t){const{sx:s,sy:e}=t,i=[];for(let t=0;t<this._sxs.length;t++){const n=this._sxs[t],_=this._sys[t],h=n.length;for(let l=0,a=h;l<a;l++){const[a,r]=this._rotate_point(s,e,n[h-1][0],_[h-1][0],-this._angle[t]);o.point_in_poly(a,r,n[l],_[l])&&i.push(t)}}return new r.Selection({indices:i})}scenterxy(t){const s=this._sxs[t],e=this._sys[t];a.assert(0!=s.length&&0!=e.length);const i=s[0][0],n=e[0][0],_=(s[0][2]+i)/2,o=(e[0][2]+n)/2,[h,l]=this._rotate_point(_,o,i,n,this._angle[t]);return[h,l]}}e.TextView=c,c.__name__=\"TextView\";class x extends n.XYGlyph{constructor(t){super(t)}static init_Text(){this.prototype.default_view=c,this.mixins(_.TextVector),this.define({text:[h.NullStringSpec,{field:\"text\"}],angle:[h.AngleSpec,0],x_offset:[h.NumberSpec,0],y_offset:[h.NumberSpec,0]})}}e.Text=x,x.__name__=\"Text\",x.init_Text()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),r=t(245),h=t(24),o=i.__importStar(t(18));class _ extends r.BoxView{scenterxy(t){return[this.sx[t],(this.stop[t]+this.sbottom[t])/2]}_lrtb(t){return[this._x[t]-this._width[t]/2,this._x[t]+this._width[t]/2,Math.max(this._top[t],this._bottom[t]),Math.min(this._top[t],this._bottom[t])]}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sw=this.sdist(this.renderer.xscale,this._x,this._width,\"center\"),this.stop=this.renderer.yscale.v_compute(this._top),this.sbottom=this.renderer.yscale.v_compute(this._bottom);const t=this.sx.length;this.sleft=new h.NumberArray(t),this.sright=new h.NumberArray(t);for(let s=0;s<t;s++)this.sleft[s]=this.sx[s]-this.sw[s]/2,this.sright[s]=this.sx[s]+this.sw[s]/2;this._clamp_viewport()}}e.VBarView=_,_.__name__=\"VBarView\";class a extends r.Box{constructor(t){super(t)}static init_VBar(){this.prototype.default_view=_,this.define({x:[o.XCoordinateSpec,{field:\"x\"}],bottom:[o.YCoordinateSpec,{value:0}],width:[o.NumberSpec,{value:1}],top:[o.YCoordinateSpec,{field:\"top\"}]})}}e.VBar=a,a.__name__=\"VBar\",a.init_VBar()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(100),a=e(28),d=i.__importStar(e(18)),l=e(10),o=e(88);class _ extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,s,{sx:t,sy:i,sradius:r,_start_angle:n,_end_angle:a}){const d=this.model.properties.direction.value();for(const l of s)isNaN(t[l]+i[l]+r[l]+n[l]+a[l])||(e.beginPath(),e.arc(t[l],i[l],r[l],n[l],a[l],d),e.lineTo(t[l],i[l]),e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(e,l),e.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,l),e.stroke()))}_hit_point(e){let s,t,i,r,n,a,d,_,c;const{sx:h,sy:u}=e,p=this.renderer.xscale.invert(h),g=this.renderer.yscale.invert(u),x=2*this.max_radius;\"data\"===this.model.properties.radius.units?(a=p-x,d=p+x,_=g-x,c=g+x):(t=h-x,i=h+x,[a,d]=this.renderer.xscale.r_invert(t,i),r=u-x,n=u+x,[_,c]=this.renderer.yscale.r_invert(r,n));const v=[];for(const e of this.index.indices({x0:a,x1:d,y0:_,y1:c})){const a=this.sradius[e]**2;[t,i]=this.renderer.xscale.r_compute(p,this._x[e]),[r,n]=this.renderer.yscale.r_compute(g,this._y[e]),s=(t-i)**2+(r-n)**2,s<=a&&v.push(e)}const y=this.model.properties.direction.value(),f=[];for(const e of v){const s=Math.atan2(u-this.sy[e],h-this.sx[e]);l.angle_between(-s,-this._start_angle[e],-this._end_angle[e],y)&&f.push(e)}return new o.Selection({indices:f})}draw_legend_for_index(e,s,t){n.generic_area_legend(this.visuals,e,s,t)}scenterxy(e){const s=this.sradius[e]/2,t=(this._start_angle[e]+this._end_angle[e])/2;return[this.sx[e]+s*Math.cos(t),this.sy[e]+s*Math.sin(t)]}}t.WedgeView=_,_.__name__=\"WedgeView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Wedge(){this.prototype.default_view=_,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[d.Direction,\"anticlock\"],radius:[d.DistanceSpec],start_angle:[d.AngleSpec],end_angle:[d.AngleSpec]})}}t.Wedge=c,c.__name__=\"Wedge\",c.init_Wedge()},\n      function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const r=e(1);r.__exportStar(e(117),_),r.__exportStar(e(266),_),r.__exportStar(e(267),_)},\n      function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=e(81);class n extends t.Model{constructor(e){super(e)}}r.LayoutProvider=n,n.__name__=\"LayoutProvider\"},\n      function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),o=t(266),n=t(24),s=r.__importStar(t(18));class u extends o.LayoutProvider{constructor(t){super(t)}static init_StaticLayoutProvider(){this.define({graph_layout:[s.Any,{}]})}get_node_coordinates(t){const a=t.data.index,e=a.length,r=new n.NumberArray(e),o=new n.NumberArray(e);for(let t=0;t<e;t++){const e=this.graph_layout[a[t]],[n,s]=null!=e?e:[NaN,NaN];r[t]=n,o[t]=s}return[r,o]}get_edge_coordinates(t){const a=t.data.start,e=t.data.end,r=a.length,o=[],n=[],s=null!=t.data.xs&&null!=t.data.ys;for(let u=0;u<r;u++){const r=null!=this.graph_layout[a[u]]&&null!=this.graph_layout[e[u]];if(s&&r)o.push(t.data.xs[u]),n.push(t.data.ys[u]);else{let t,s;r?(t=this.graph_layout[a[u]],s=this.graph_layout[e[u]]):(t=[NaN,NaN],s=[NaN,NaN]),o.push([t[0],s[0]]),n.push([t[1],s[1]])}}return[o,n]}}e.StaticLayoutProvider=u,u.__name__=\"StaticLayoutProvider\",u.init_StaticLayoutProvider()},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var i=e(269);d.Grid=i.Grid},\n      function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(1),n=i(178),r=s.__importStar(i(28)),o=s.__importStar(i(18)),d=i(8);class _ extends n.GuideRendererView{_render(){const i=this.layer.ctx;i.save(),this._draw_regions(i),this._draw_minor_grids(i),this._draw_grids(i),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render())}_draw_regions(i){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(i);const[e,t]=this.grid_coords(\"major\",!1);for(let s=0;s<e.length-1;s++){if(s%2!=1)continue;const[n,r]=this.coordinates.map_to_screen(e[s],t[s]),[o,d]=this.coordinates.map_to_screen(e[s+1],t[s+1]);this.visuals.band_fill.doit&&i.fillRect(n[0],r[0],o[1]-n[0],d[1]-r[0]),this.visuals.band_hatch.doit2(i,s,()=>{i.fillRect(n[0],r[0],o[1]-n[0],d[1]-r[0])},()=>this.request_render())}}_draw_grids(i){if(!this.visuals.grid_line.doit)return;const[e,t]=this.grid_coords(\"major\");this._draw_grid_helper(i,this.visuals.grid_line,e,t)}_draw_minor_grids(i){if(!this.visuals.minor_grid_line.doit)return;const[e,t]=this.grid_coords(\"minor\");this._draw_grid_helper(i,this.visuals.minor_grid_line,e,t)}_draw_grid_helper(i,e,t,s){e.set_value(i),i.beginPath();for(let e=0;e<t.length;e++){const[n,r]=this.coordinates.map_to_screen(t[e],s[e]);i.moveTo(Math.round(n[0]),Math.round(r[0]));for(let e=1;e<n.length;e++)i.lineTo(Math.round(n[e]),Math.round(r[e]))}i.stroke()}ranges(){const i=this.model.dimension,e=(i+1)%2,{ranges:t}=this.coordinates;return[t[i],t[e]]}computed_bounds(){const[i]=this.ranges(),e=this.model.bounds,t=[i.min,i.max];let s,n;if(d.isArray(e))s=Math.min(e[0],e[1]),n=Math.max(e[0],e[1]),s<t[0]&&(s=t[0]),n>t[1]&&(n=t[1]);else{[s,n]=t;for(const i of this.plot_view.axis_views)i.dimension==this.model.dimension&&i.model.x_range_name==this.model.x_range_name&&i.model.y_range_name==this.model.y_range_name&&([s,n]=i.computed_bounds)}return[s,n]}grid_coords(i,e=!0){const t=this.model.dimension,s=(t+1)%2,[n,r]=this.ranges();let[o,d]=this.computed_bounds();[o,d]=[Math.min(o,d),Math.max(o,d)];const _=[[],[]],a=this.model.get_ticker();if(null==a)return _;const l=a.get_ticks(o,d,n,r.min,{})[i],h=n.min,c=n.max,u=r.min,m=r.max;e||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=c&&l.push(c));for(let i=0;i<l.length;i++){if((l[i]==h||l[i]==c)&&e)continue;const n=[],r=[],o=2;for(let e=0;e<o;e++){const t=u+(m-u)/(o-1)*e;n.push(l[i]),r.push(t)}_[t].push(n),_[s].push(r)}return _}}t.GridView=_,_.__name__=\"GridView\";class a extends n.GuideRenderer{constructor(i){super(i)}static init_Grid(){this.prototype.default_view=_,this.mixins([[\"grid_\",r.Line],[\"minor_grid_\",r.Line],[\"band_\",r.Fill],[\"band_\",r.Hatch]]),this.define({bounds:[o.Any,\"auto\"],dimension:[o.Any,0],axis:[o.Instance],ticker:[o.Instance]}),this.override({level:\"underlay\",band_fill_color:null,band_fill_alpha:0,grid_line_color:\"#e5e5e5\",minor_grid_line_color:null})}get_ticker(){return null!=this.ticker?this.ticker:null!=this.axis?this.axis.ticker:null}}t.Grid=a,a.__name__=\"Grid\",a.init_Grid()},\n      function _(a,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var e=a(271);r.Box=e.Box;var v=a(274);r.Column=v.Column;var x=a(275);r.GridBox=x.GridBox;var B=a(276);r.HTMLBox=B.HTMLBox;var n=a(272);r.LayoutDOM=n.LayoutDOM;var t=a(277);r.Row=t.Row;var u=a(278);r.Spacer=u.Spacer;var d=a(279);r.Panel=d.Panel,r.Tabs=d.Tabs;var i=a(286);r.WidgetBox=i.WidgetBox},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(272),o=n.__importStar(e(18));class c extends s.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=i(81),o=i(20),l=i(72),n=i(19),h=i(8),a=i(115),r=i(78),_=i(212),d=i(273),c=i(77);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const i of this.child_views)i.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const i=this.el.offsetParent;this._offset_parent!=i&&(this._offset_parent=i,null!=i&&(this.compute_viewport(),this.invalidate_layout()))},250));const i=this.model.properties;this.on_change([i.width,i.height,i.min_width,i.min_height,i.max_width,i.max_height,i.margin,i.width_policy,i.height_policy,i.sizing_mode,i.aspect_ratio,i.visible],()=>this.invalidate_layout()),this.on_change([i.background,i.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(i=>this._child_views.get(i))}async build_child_views(){await a.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:i}=this.model;this.el.style.backgroundColor=null!=i?i:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const i of this.child_views)this.el.appendChild(i.el),i.render()}update_layout(){for(const i of this.child_views)i.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const i=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,i);for(const i of this.child_views)i.update_position()}after_layout(){for(const i of this.child_views)i.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(i){i.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const i=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-i} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const i of this.child_views)if(!i.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:i,height_policy:t,aspect_ratio:e}=this.model;\"auto\"==i&&(i=this._width_policy()),\"auto\"==t&&(t=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)i=t=\"fixed\";else if(\"stretch_both\"==s)i=t=\"max\";else if(\"stretch_width\"==s)i=\"max\";else if(\"stretch_height\"==s)t=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":i=\"max\",t=\"min\";break;case\"scale_height\":i=\"min\",t=\"max\";break;case\"scale_both\":i=\"max\",t=\"max\"}const o={width_policy:i,height_policy:t},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:r}=this.model;null!=a&&(o.width=a),null!=r&&(o.height=r);const{max_width:_,max_height:d}=this.model;null!=_&&(o.max_width=_),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=r?o.aspect=a/r:h.isNumber(e)&&(o.aspect=e);const{margin:c}=this.model;if(null!=c)if(h.isNumber(c))o.margin={top:c,right:c,bottom:c,left:c};else if(2==c.length){const[i,t]=c;o.margin={top:i,right:t,bottom:i,left:t}}else{const[i,t,e,s]=c;o.margin={top:i,right:t,bottom:e,left:s}}o.visible=this.model.visible;const{align:u}=this.model;return h.isArray(u)?[o.halign,o.valign]=u:o.halign=o.valign=u,o}_viewport_size(){return l.undisplayed(this.el,()=>{let i=this.el;for(;i=i.parentElement;){if(i.classList.contains(d.bk_root))continue;if(i==document.body){const{margin:{left:i,right:t,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-i-t),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:t,right:e,top:s,bottom:o}}=l.extents(i),{width:n,height:h}=i.getBoundingClientRect(),a=Math.ceil(n-t-e),r=Math.ceil(h-s-o);if(a>0||r>0)return{width:a>0?a:void 0,height:r>0?r:void 0}}return{}})}export(i,t=!0){const e=\"png\"==i?\"canvas\":\"svg\",s=new c.CanvasLayer(e,t),{width:o,height:l}=this.layout.bbox;s.resize(o,l);for(const e of this.child_views){const o=e.export(i,t),{x:l,y:n}=e.layout.bbox;s.ctx.drawImage(o.canvas,l,n)}return s}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(i=>i.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class m extends s.Model{constructor(i){super(i)}static init_LayoutDOM(){this.define(i=>{const{Boolean:t,Number:e,String:s,Null:l,Auto:n,Color:h,Array:a,Tuple:r,Or:d}=i,c=r(e,e),u=r(e,e,e,e);return{width:[d(e,l),null],height:[d(e,l),null],min_width:[d(e,l),null],min_height:[d(e,l),null],max_width:[d(e,l),null],max_height:[d(e,l),null],margin:[d(e,c,u),[0,0,0,0]],width_policy:[d(_.SizingPolicy,n),\"auto\"],height_policy:[d(_.SizingPolicy,n),\"auto\"],aspect_ratio:[d(e,n,l),null],sizing_mode:[d(o.SizingMode,l),null],visible:[t,!0],disabled:[t,!1],align:[d(o.Align,r(o.Align,o.Align)),\"start\"],background:[d(h,l),null],css_classes:[a(s),[]]}})}}e.LayoutDOM=m,m.__name__=\"LayoutDOM\",m.init_LayoutDOM()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(271),n=t(216),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n      function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(272),n=t(216),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(272),_=e(212);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(271),_=t(216),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(272),s=e(212);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(212),l=e(72),h=e(9),o=i.__importStar(e(18)),c=e(272),d=e(81),r=e(173),n=e(280),_=e(281),b=e(282),p=i.__importDefault(e(283)),u=i.__importDefault(e(284)),m=i.__importDefault(e(285));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n      function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n      function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n      function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n      function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n  height: 100%;\\n  display: inline-block;\\n  text-align: center;\\n  vertical-align: middle;\\n  white-space: nowrap;\\n  cursor: pointer;\\n  padding: 6px 12px;\\n  font-size: 12px;\\n  border: 1px solid transparent;\\n  border-radius: 4px;\\n  outline: 0;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n  text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n  background-image: none;\\n  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n  cursor: not-allowed;\\n  pointer-events: none;\\n  opacity: 0.65;\\n  box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n  color: #333;\\n  background-color: #fff;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n  background-color: #f5f5f5;\\n  border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n  background-color: #ebebeb;\\n  border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n  background-color: #e6e6e6;\\n  border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n  color: #fff;\\n  background-color: #428bca;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n  background-color: #3681c1;\\n  border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n  background-color: #3276b1;\\n  border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n  background-color: #506f89;\\n  border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n  color: #fff;\\n  background-color: #5cb85c;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n  background-color: #4eb24e;\\n  border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n  background-color: #47a447;\\n  border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n  background-color: #667b66;\\n  border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n  color: #fff;\\n  background-color: #f0ad4e;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n  background-color: #eea43b;\\n  border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n  background-color: #ed9c28;\\n  border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n  background-color: #c89143;\\n  border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n  color: #fff;\\n  background-color: #d9534f;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n  background-color: #d5433e;\\n  border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n  background-color: #d2322d;\\n  border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n  background-color: #a55350;\\n  border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n  height: 100%;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n  margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n  border-bottom-right-radius: 0;\\n  border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n  border-bottom-left-radius: 0;\\n  border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n  border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n  flex: 0 0 0;\\n  -webkit-flex: 0 0 0;\\n  padding: 6px 6px;\\n}\\n\"},\n      function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n  width: 28px;\\n  height: 28px;\\n  background-size: 60%;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n  position: absolute;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n  width: auto;\\n  height: auto;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n  cursor: default;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n  width: 1px;\\n  margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n  height: 1px;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n  border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n  border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n  background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n  border-top-right-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n  border-top-left-radius: 4px;\\n  border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n  border-bottom-left-radius: 4px;\\n  border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n  position: absolute;\\n  left: 0;\\n  width: 100%;\\n  z-index: 100;\\n  cursor: pointer;\\n  font-size: 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n  bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n  top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n  height: 1px;\\n  margin: 7.5px 0;\\n  overflow: hidden;\\n  background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n  padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n  background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n  display: inline-block;\\n  vertical-align: middle;\\n  width: 0;\\n  height: 0;\\n  margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n  border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n  border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n  border-right: 4px solid transparent;\\n  border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n  border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n  border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n  border-top: 4px solid transparent;\\n  border-bottom: 4px solid transparent;\\n}\\n\"},\n      function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  overflow: hidden;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n  height: auto;\\n  margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n  flex-grow: 0;\\n  -webkit-flex-grow: 0;\\n  height: auto;\\n  padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  overflow: hidden;\\n  color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n  border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n  border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n  border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n  border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n  position: relative;\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n  padding: 4px 8px;\\n  border: solid transparent;\\n  white-space: nowrap;\\n  cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n  color: #4d4d4d;\\n  background-color: white;\\n  border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n  margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n  border-width: 3px 1px 0px 1px;\\n  border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n  border-width: 1px 3px 1px 0px;\\n  border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n  border-width: 0px 1px 3px 1px;\\n  border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n  border-width: 1px 0px 1px 3px;\\n  border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n  display: inline-block;\\n  width: 10px;\\n  height: 10px;\\n  vertical-align: middle;\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">        <line x1=\"1\" y1=\"9\" x2=\"9\" y2=\"1\" stroke=\"gray\" stroke-width=\"2\"/>        <line x1=\"1\" y1=\"1\" x2=\"9\" y2=\"9\" stroke=\"gray\" stroke-width=\"2\"/>      </svg>\\');\\n}\\n.bk-root .bk-close:hover {\\n  background-image: url(\\'data:image/svg+xml;utf8,      <svg viewPort=\"0 0 10 10\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">   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this.reset(),void(this.state=32);56&this.state&&(this.state=1),this.state=this.process(e),30&this.state&&this.tryEmit(e)},process:function(t){},getTouchAction:function(){},reset:function(){}},g(mt,pt,{defaults:{pointers:1},attrTest:function(t){var e=this.options.pointers;return 0===e||t.pointers.length===e},process:function(t){var e=this.state,n=t.eventType,i=6&e,r=this.attrTest(t);return i&&(8&n||!r)?16|e:i||r?4&n?8|e:2&e?4|e:2:32}}),g(gt,mt,{defaults:{event:\"pan\",threshold:10,pointers:1,direction:30},getTouchAction:function(){var t=this.options.direction,e=[];return 6&t&&e.push(\"pan-y\"),24&t&&e.push(\"pan-x\"),e},directionTest:function(t){var e=this.options,n=!0,i=t.distance,r=t.direction,s=t.deltaX,o=t.deltaY;return r&e.direction||(6&e.direction?(r=0===s?1:s<0?2:4,n=s!=this.pX,i=Math.abs(t.deltaX)):(r=0===o?1:o<0?8:16,n=o!=this.pY,i=Math.abs(t.deltaY))),t.direction=r,n&&i>e.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime>e.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance<e.threshold,r=t.deltaTime<e.time;if(this.reset(),1&t.eventType&&0===this.count)return this.failTimeout();if(i&&r&&n){if(4!=t.eventType)return this.failTimeout();var s=!this.pTime||t.timeStamp-this.pTime<e.interval,o=!this.pCenter||L(this.pCenter,t.center)<e.posThreshold;if(this.pTime=t.timeStamp,this.pCenter=t.center,o&&s?this.count+=1:this.count=1,this._input=t,0===this.count%e.taps)return this.hasRequireFailures()?(this._timer=l((function(){this.state=8,this.tryEmit()}),e.interval,this),2):8}return 32},failTimeout:function(){return this._timer=l((function(){this.state=32}),this.options.interval,this),32},reset:function(){clearTimeout(this._timer)},emit:function(){8==this.state&&(this._input.tapCount=this.count,this.manager.emit(this.options.event,this._input))}}),_t.VERSION=\"2.0.7\",_t.defaults={domEvents:!1,touchAction:\"compute\",enable:!0,inputTarget:null,inputClass:null,preset:[[Et,{enable:!1}],[yt,{enable:!1},[\"rotate\"]],[It,{direction:6}],[gt,{direction:6},[\"swipe\"]],[At],[At,{event:\"doubletap\",taps:2},[\"tap\"]],[Tt]],cssProps:{userSelect:\"none\",touchSelect:\"none\",touchCallout:\"none\",contentZooming:\"none\",userDrag:\"none\",tapHighlightColor:\"rgba(0,0,0,0)\"}};function Ct(t,e){var n;this.options=s({},_t.defaults,e||{}),this.options.inputTarget=this.options.inputTarget||t,this.handlers={},this.session={},this.recognizers=[],this.oldCssProps={},this.element=t,this.input=new((n=this).options.inputClass||(M?J:z?nt:R?rt:j))(n,F),this.touchAction=new lt(this,this.options.touchAction),St(this,!0),f(this.options.recognizers,(function(t){var e=this.add(new t[0](t[1]));t[2]&&e.recognizeWith(t[2]),t[3]&&e.requireFailure(t[3])}),this)}function St(t,e){var n,i=t.element;i.style&&(f(t.options.cssProps,(function(r,s){n=D(i.style,s),e?(t.oldCssProps[n]=i.style[n],i.style[n]=r):i.style[n]=t.oldCssProps[n]||\"\"})),e||(t.oldCssProps={}))}Ct.prototype={set:function(t){return s(this.options,t),t.touchAction&&this.touchAction.update(),t.inputTarget&&(this.input.destroy(),this.input.target=t.inputTarget,this.input.init()),this},stop:function(t){this.session.stopped=t?2:1},recognize:function(t){var e=this.session;if(!e.stopped){var n;this.touchAction.preventDefaults(t);var i=this.recognizers,r=e.curRecognizer;(!r||r&&8&r.state)&&(r=e.curRecognizer=null);for(var s=0;s<i.length;)n=i[s],2===e.stopped||r&&n!=r&&!n.canRecognizeWith(r)?n.reset():n.recognize(t),!r&&14&n.state&&(r=e.curRecognizer=n),s++}},get:function(t){if(t instanceof pt)return t;for(var e=this.recognizers,n=0;n<e.length;n++)if(e[n].options.event==t)return e[n];return null},add:function(t){if(p(t,\"add\",this))return this;var e=this.get(t.options.event);return e&&this.remove(e),this.recognizers.push(t),t.manager=this,this.touchAction.update(),t},remove:function(t){if(p(t,\"remove\",this))return this;if(t=this.get(t)){var e=this.recognizers,n=b(e,t);-1!==n&&(e.splice(n,1),this.touchAction.update())}return this},on:function(t,e){if(void 0!==t&&void 0!==e){var n=this.handlers;return f(S(t),(function(t){n[t]=n[t]||[],n[t].push(e)})),this}},off:function(t,e){if(void 0!==t){var n=this.handlers;return f(S(t),(function(t){e?n[t]&&n[t].splice(b(n[t],e),1):delete n[t]})),this}},emit:function(t,e){this.options.domEvents&&function(t,e){var i=n.createEvent(\"Event\");i.initEvent(t,!0,!0),i.gesture=e,e.target.dispatchEvent(i)}(t,e);var i=this.handlers[t]&&this.handlers[t].slice();if(i&&i.length){e.type=t,e.preventDefault=function(){e.srcEvent.preventDefault()};for(var r=0;r<i.length;)i[r](e),r++}},destroy:function(){this.element&&St(this,!1),this.handlers={},this.session={},this.input.destroy(),this.element=null}},s(_t,{INPUT_START:1,INPUT_MOVE:2,INPUT_END:4,INPUT_CANCEL:8,STATE_POSSIBLE:1,STATE_BEGAN:2,STATE_CHANGED:4,STATE_ENDED:8,STATE_RECOGNIZED:8,STATE_CANCELLED:16,STATE_FAILED:32,DIRECTION_NONE:1,DIRECTION_LEFT:2,DIRECTION_RIGHT:4,DIRECTION_UP:8,DIRECTION_DOWN:16,DIRECTION_HORIZONTAL:6,DIRECTION_VERTICAL:24,DIRECTION_ALL:30,Manager:Ct,Input:Y,TouchAction:lt,TouchInput:nt,MouseInput:j,PointerEventInput:J,TouchMouseInput:rt,SingleTouchInput:Q,Recognizer:pt,AttrRecognizer:mt,Tap:At,Pan:gt,Swipe:It,Pinch:yt,Rotate:Et,Press:Tt,on:I,off:A,each:f,merge:m,extend:d,assign:s,inherit:g,bindFn:y,prefixed:D}),(void 0!==t?t:\"undefined\"!=typeof self?self:{}).Hammer=_t,\"function\"==typeof define&&define.amd?define((function(){return _t})):void 0!==e&&e.exports?e.exports=_t:t.Hammer=_t}(window,document)},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(18)),o=t(71),s=t(9),a=t(81);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n      function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n  visibility: hidden;\\n  opacity: 0;\\n  transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: center;\\n  -webkit-align-items: center;\\n  user-select: none;\\n  -ms-user-select: none;\\n  -moz-user-select: none;\\n  -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n  flex-shrink: 0;\\n  -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n  justify-content: flex-end;\\n  -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n  order: 1;\\n  -webkit-order: 1;\\n  margin-left: 5px;\\n  margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  justify-content: flex-start;\\n  -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n  display: flex;\\n  display: -webkit-flex;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n  order: 0;\\n  -webkit-order: 0;\\n  margin-bottom: 5px;\\n  margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n  width: 30px;\\n  height: 30px;\\n  cursor: pointer;\\n  background-size: 60% 60%;\\n  background-origin: border-box;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n  background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n  outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n  border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n  border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n  border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n  border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n  border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n  border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n  border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n  border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n  border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n  content: \" \";\\n  display: inline-block;\\n  background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n  height: 10px;\\n  width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n  height: 1px;\\n  width: 10px;\\n}\\n'},\n      function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-copy-to-clipboard {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUSDBoBvcHQeQAAAG9JREFUWMNjXLhsJcNAAiaGAQYwB/xHwh/Q+ITEkfHQCwEWND4jmeb8H/JpgBwfI6cNBhLSEkqaGXRpgFRAcZoZsmlg1AGjDhh1wKgDRh0w6gCaVcf/R2wIkNqw+D9s0wADvUNiyIYA47BJAwPuAAAj/Cjd0TCN6wAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-replace-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n  background-image: 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     function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(72),o=t(303),l=n.__importStar(t(282));class h{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t,e;s.empty(this.el,!0);const i=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+i);for(const[t,i]of o.enumerate(this.items)){let n;if(null==t)n=s.div({class:l.bk_divider});else{if(null!=t.if&&!t.if())continue;{const i=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(e=t.active)||void 0===e?void 0:e.call(t))?\"bk-active\":null,title:t.tooltip},i,t.label)}}n.addEventListener(\"click\",()=>this._item_click(i)),this.el.appendChild(n)}}show(t){if(0!=this.items.length&&!this._open){if(this.render(),0==this.el.children.length)return;this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0}}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=h,h.__name__=\"ContextMenu\"},\n      function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(296),i=e(173),s=e(72);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(19),l=t(72),n=t(115),a=i.__importStar(t(18)),r=t(78),_=t(9),c=t(13),h=t(8),u=t(81),v=t(306),d=t(307),b=t(308),p=t(295),g=t(299),f=t(310),m=t(173),w=i.__importDefault(t(300)),y=i.__importDefault(t(311));class T extends u.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=T,T.__name__=\"ToolbarViewModel\",T.init_ToolbarViewModel();class k extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new T({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),w.default,y.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=g.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(g.bk_toolbar),this.el.classList.add(m.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?f.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[f.bk_logo,f.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i of c.values(e))t.push(i.tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:g.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function M(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=k,k.__name__=\"ToolbarBaseView\";class B extends u.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=k,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,M],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof p.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof b.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof d.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof v.GestureTool&&t.event_type)if(h.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=h.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=B,B.__name__=\"ToolbarBase\",B.init_ToolbarBase()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(296),n=e(304);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n      function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(296),i=o(15);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit(void 0)}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,o=>this.doit(o))}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(307),s=i.__importStar(o(18)),n=o(309);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n      function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n      function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n      function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n  margin: 5px;\\n  position: relative;\\n  display: block;\\n  background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n  filter: url(\\\"data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg'><filter id='grayscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0.3333 0.3333 0.3333 0 0 0 0 0 1 0'/></filter></svg>#grayscale\\\");\\n  /* Firefox 10+, Firefox on Android */\\n  filter: gray;\\n  /* IE6-9 */\\n  -webkit-filter: grayscale(100%);\\n  /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n  width: 20px;\\n  height: 20px;\\n  background-image: 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null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new c.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new u.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new b.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=m.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new f.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),g.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new x.BorderLayout,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=w.copy(this.model.above),s=w.copy(this.model.below),n=w.copy(this.model.left),a=w.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:c}=this.model;if(null!=_&&null!=c){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i<t.length;i++){const s=t[i];if(s instanceof h.Title){t[i]=\"above\"==_||\"below\"==_?[s,this._toolbar]:[this._toolbar,s],e=!1;break}}e&&t.push(this._toolbar)}const u=(t,e)=>{const i=this.renderer_views.get(e);return i.layout=new z.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(v.isArray(n)){const e=n.map(e=>{const s=u(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new M.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new M.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(u(t,n));return s},f=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:f,top:null!=this.model.min_border_top?this.model.min_border_top:f,right:null!=this.model.min_border_right?this.model.min_border_right:f,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:f};const b=new y.VStack,g=new y.VStack,m=new y.HStack,O=new y.HStack;b.children=w.reversed(p(\"above\",i)),g.children=p(\"below\",s),m.children=w.reversed(p(\"left\",n)),O.children=p(\"right\",a),b.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),g.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),m.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),O.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=b,this.layout.bottom_panel=g,this.layout.left_panel=m,this.layout.right_panel=O}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const[,t]of this.frame.x_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[,t]of this.frame.y_ranges)t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const[,i]of this.frame.x_ranges){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const[,i]of this.frame.y_ranges){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){g.logger.warn(\"Follow enabled so bounds are unset.\");for(const[,t]of this.frame.x_ranges)t.bounds=null;for(const[,t]of this.frame.y_ranges)t.bounds=null}this.range_update_timestamp=Date.now()}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index<this.state.history.length-1}undo(){this.can_undo()&&(this.state.index-=1,this._do_state_change(this.state.index),this.state_changed.emit())}redo(){this.can_redo()&&(this.state.index+=1,this._do_state_change(this.state.index),this.state_changed.emit())}_do_state_change(t){const e=null!=this.state.history[t]?this.state.history[t].info:this._initial_state_info;null!=e.range&&this.update_range(e.range),null!=e.selection&&this.update_selection(e.selection)}get_selection(){const t=new Map;for(const e of this.model.renderers)if(e instanceof l.GlyphRenderer){const{selected:i}=e.data_source;t.set(e,i)}return t}update_selection(t){for(const e of this.model.renderers){if(!(e instanceof l.GlyphRenderer))continue;const i=e.data_source;if(null!=t){const s=t.get(e);null!=s&&i.selected.update(s,!0)}else i.selection_manager.clear()}}reset_selection(){this.update_selection(null)}_update_ranges_together(t){let e=1;for(const[i,s]of t)e=Math.min(e,this._get_weight_to_constrain_interval(i,s));if(e<1)for(const[i,s]of t)s.start=e*s.start+(1-e)*i.start,s.end=e*s.end+(1-e)*i.end}_update_ranges_individually(t,e,i,s){let n=!1;for(const[s,a]of t){if(!i){const t=this._get_weight_to_constrain_interval(s,a);t<1&&(a.start=t*a.start+(1-t)*s.start,a.end=t*a.end+(1-t)*s.end)}if(null!=s.bounds&&\"auto\"!=s.bounds){const[t,o]=s.bounds,l=Math.abs(a.end-a.start);s.is_reversed?(null!=t&&t>=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o<i&&(n=(a-i)/(a-o)),s>0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const[,t]of n)t.reset();for(const[,t]of a)t.reset();this.update_dataranges()}else{const o=[];for(const[e,i]of n)o.push([i,t.xrs.get(e)]);for(const[e,i]of a)o.push([i,t.yrs.get(e)]);i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const[,e]of t)this.connect(e.change,()=>{this._needs_layout=!0,this.request_paint()});for(const[,t]of e)this.connect(t.change,()=>{this._needs_layout=!0,this.request_paint()});const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s=new Map,n=new Map;for(const[i,n]of e){const{start:e,end:a}=n;if(null==e||null==a||isNaN(e+a)){t=!1;break}s.set(i,{start:e,end:a})}if(t)for(const[e,s]of i){const{start:i,end:a}=s;if(null==i||null==a||isNaN(i+a)){t=!1;break}n.set(e,{start:i,end:a})}t?(this._initial_state_info.range={xrs:s,yrs:n},g.logger.debug(\"initial ranges set\")):g.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;if(this.model.visible)for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame.bbox.width),inner_height:Math.round(this.frame.bbox.height),outer_width:Math.round(this.layout.bbox.width),outer_height:Math.round(this.layout.bbox.height)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&this.paint()}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused||!this.model.visible)return;g.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e<this.model.lod_interval?setTimeout(()=>{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(),this.request_paint()},this.model.lod_timeout):t.interactive_stop()}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame.bbox.left,this.frame.bbox.top,this.frame.bbox.width,this.frame.bbox.height],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range(),this._needs_paint=!1}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&a.needs_webgl_blit&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout.bbox.width,this.layout.bbox.height],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout.bbox.width&&(n-=1),s+a==this.layout.bbox.height&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}to_blob(){return this.canvas_view.to_blob()}export(t,e=!0){const i=\"png\"==t?\"canvas\":\"svg\",s=new a.CanvasLayer(i,e),{width:n,height:o}=this.layout.bbox;s.resize(n,o);const{canvas:l}=this.canvas_view.compose();return s.ctx.drawImage(l,0,0),s}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=k,k.__name__=\"PlotView\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";class o extends a{constructor(){super(...arguments),this.origin=null}_to_json(){return{model:this.origin}}}s.ModelEvent=o,o.__name__=\"ModelEvent\";let r=class extends a{_to_json(){return{}}};s.DocumentReady=r,r.__name__=\"DocumentReady\",s.DocumentReady=r=n([_(\"document_ready\")],r);let c=class extends o{};s.ButtonClick=c,c.__name__=\"ButtonClick\",s.ButtonClick=c=n([_(\"button_click\")],c);let l=class extends o{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=l,l.__name__=\"MenuItemClick\",s.MenuItemClick=l=n([_(\"menu_item_click\")],l);class i extends o{}s.UIEvent=i,i.__name__=\"UIEvent\";let u=class extends i{};s.LODStart=u,u.__name__=\"LODStart\",s.LODStart=u=n([_(\"lodstart\")],u);let d=class extends i{};s.LODEnd=d,d.__name__=\"LODEnd\",s.LODEnd=d=n([_(\"lodend\")],d);let h=class extends i{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=h,h.__name__=\"SelectionGeometry\",s.SelectionGeometry=h=n([_(\"selectiongeometry\")],h);let m=class extends i{};s.Reset=m,m.__name__=\"Reset\",s.Reset=m=n([_(\"reset\")],m);class x extends i{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=x,x.__name__=\"PointEvent\";let p=class extends x{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=p,p.__name__=\"Pan\",s.Pan=p=n([_(\"pan\")],p);let j=class extends x{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=j,j.__name__=\"Pinch\",s.Pinch=j=n([_(\"pinch\")],j);let y=class extends x{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=y,y.__name__=\"Rotate\",s.Rotate=y=n([_(\"rotate\")],y);let P=class extends x{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=P,P.__name__=\"MouseWheel\",s.MouseWheel=P=n([_(\"wheel\")],P);let v=class extends x{};s.MouseMove=v,v.__name__=\"MouseMove\",s.MouseMove=v=n([_(\"mousemove\")],v);let O=class extends x{};s.MouseEnter=O,O.__name__=\"MouseEnter\",s.MouseEnter=O=n([_(\"mouseenter\")],O);let b=class extends x{};s.MouseLeave=b,b.__name__=\"MouseLeave\",s.MouseLeave=b=n([_(\"mouseleave\")],b);let g=class extends x{};s.Tap=g,g.__name__=\"Tap\",s.Tap=g=n([_(\"tap\")],g);let E=class extends x{};s.DoubleTap=E,E.__name__=\"DoubleTap\",s.DoubleTap=E=n([_(\"doubletap\")],E);let M=class extends x{};s.Press=M,M.__name__=\"Press\",s.Press=M=n([_(\"press\")],M);let R=class extends x{};s.PressUp=R,R.__name__=\"PressUp\",s.PressUp=R=n([_(\"pressup\")],R);let f=class extends x{};s.PanStart=f,f.__name__=\"PanStart\",s.PanStart=f=n([_(\"panstart\")],f);let S=class extends x{};s.PanEnd=S,S.__name__=\"PanEnd\",s.PanEnd=S=n([_(\"panend\")],S);let D=class extends x{};s.PinchStart=D,D.__name__=\"PinchStart\",s.PinchStart=D=n([_(\"pinchstart\")],D);let k=class extends x{};s.PinchEnd=k,k.__name__=\"PinchEnd\",s.PinchEnd=k=n([_(\"pinchend\")],k);let L=class extends x{};s.RotateStart=L,L.__name__=\"RotateStart\",s.RotateStart=L=n([_(\"rotatestart\")],L);let C=class extends x{};s.RotateEnd=C,C.__name__=\"RotateEnd\",s.RotateEnd=C=n([_(\"rotateend\")],C)},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(297)),r=t(15),a=t(19),h=t(72),_=n.__importStar(t(313)),o=t(315),c=t(9),l=t(8),p=t(32),u=t(302);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(l.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),p.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of c.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,c.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(c.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[p.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const{sx:e,sy:s}=t,n=this.plot_view.frame.x_scale.invert(e),i=this.plot_view.frame.y_scale.invert(s);switch(t.type){case\"wheel\":return new _.MouseWheel(e,s,n,i,t.delta);case\"mousemove\":return new _.MouseMove(e,s,n,i);case\"mouseenter\":return new _.MouseEnter(e,s,n,i);case\"mouseleave\":return new _.MouseLeave(e,s,n,i);case\"tap\":return new _.Tap(e,s,n,i);case\"doubletap\":return new _.DoubleTap(e,s,n,i);case\"press\":return new _.Press(e,s,n,i);case\"pressup\":return new _.PressUp(e,s,n,i);case\"pan\":return new _.Pan(e,s,n,i,t.deltaX,t.deltaY);case\"panstart\":return new _.PanStart(e,s,n,i);case\"panend\":return new _.PanEnd(e,s,n,i);case\"pinch\":return new _.Pinch(e,s,n,i,t.scale);case\"pinchstart\":return new _.PinchStart(e,s,n,i);case\"pinchend\":return new _.PinchEnd(e,s,n,i);case\"rotate\":return new _.Rotate(e,s,n,i,t.rotation);case\"rotatestart\":return new _.RotateStart(e,s,n,i);case\"rotateend\":return new _.RotateEnd(e,s,n,i);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:o.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n      function _(e,t,n){\n      /*!\n           * jQuery Mousewheel 3.1.13\n           *\n           * Copyright jQuery Foundation and other contributors\n           * Released under the MIT license\n           * http://jquery.org/license\n           */\n      function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n      function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n      function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const i=t(213),o=t(214),r=t(79);class s extends o.Layoutable{constructor(){super(...arguments),this.min_border={left:0,top:0,right:0,bottom:0}}_measure(t){t=new i.Sizeable(t).bounded_to(this.sizing.size);const e=this.left_panel.measure({width:0,height:t.height}),h=Math.max(e.width,this.min_border.left),o=this.right_panel.measure({width:0,height:t.height}),r=Math.max(o.width,this.min_border.right),s=this.top_panel.measure({width:t.width,height:0}),n=Math.max(s.height,this.min_border.top),a=this.bottom_panel.measure({width:t.width,height:0}),g=Math.max(a.height,this.min_border.bottom),_=new i.Sizeable(t).shrink_by({left:h,right:r,top:n,bottom:g}),m=this.center_panel.measure(_);return{width:h+m.width+r,height:n+m.height+g,inner:{left:h,right:r,top:n,bottom:g},align:(()=>{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const h=this.left_panel.measure({width:0,height:t.height}),i=this.right_panel.measure({width:0,height:t.height}),o=this.top_panel.measure({width:t.width,height:0}),s=this.bottom_panel.measure({width:t.width,height:0}),{left:n,top:a,right:g,bottom:_}=e;this.top_panel.set_geometry(new r.BBox({left:n,right:g,bottom:a,height:o.height})),this.bottom_panel.set_geometry(new r.BBox({left:n,right:g,top:_,height:s.height})),this.left_panel.set_geometry(new r.BBox({top:a,bottom:_,right:n,width:h.width})),this.right_panel.set_geometry(new r.BBox({top:a,bottom:_,left:g,width:i.width}))}}h.BorderLayout=s,s.__name__=\"BorderLayout\"},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(213),a=i(214),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n      function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(15),o=t(72),a=t(37),n=t(312),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.compute(t,s),[p,l]=a.wgs84_mercator.compute(e,i);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout.bbox.width,i=this.layout.bbox.height,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n      function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(211);n.DataRange=g.DataRange;var R=a(210);n.DataRange1d=R.DataRange1d;var r=a(98);n.FactorRange=r.FactorRange;var t=a(99);n.Range=t.Range;var d=a(158);n.Range1d=d.Range1d},\n      function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(90);d.GlyphRenderer=n.GlyphRenderer;var R=e(116);d.GraphRenderer=R.GraphRenderer;var a=e(178);d.GuideRenderer=a.GuideRenderer;var G=e(70);d.Renderer=G.Renderer},\n      function _(a,e,l){Object.defineProperty(l,\"__esModule\",{value:!0});var c=a(209);l.CategoricalScale=c.CategoricalScale;var r=a(146);l.ContinuousScale=r.ContinuousScale;var n=a(145);l.LinearScale=n.LinearScale;var o=a(156);l.LinearInterpolationScale=o.LinearInterpolationScale;var i=a(157);l.LogScale=i.LogScale;var S=a(147);l.Scale=S.Scale},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});e(1).__exportStar(e(118),o);var n=e(88);o.Selection=n.Selection},\n      function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(325);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(327);r.AjaxDataSource=S.AjaxDataSource;var u=a(85);r.ColumnDataSource=u.ColumnDataSource;var t=a(86);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(114);r.CDSView=c.CDSView;var D=a(87);r.DataSource=D.DataSource;var v=a(328);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(326);r.WebDataSource=n.WebDataSource},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(326);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0;new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(85),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(326),r=t(19),o=s.__importStar(t(18)),n=t(13);class d extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const[i,s]of n.entries(e))t.setRequestHeader(i,s);return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=d,d.__name__=\"AjaxDataSource\",d.init_AjaxDataSource()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(86),s=e(19),a=r.__importStar(e(18)),i=e(9),l=e(13);function c(e){return null!=e?e:NaN}class _ extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){var n;const s=null!==(n=e.properties)&&void 0!==n?n:{};for(const[e,n]of l.entries(s))t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=c(n)}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=c(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=c(a)}break}case\"Polygon\":{e.coordinates.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e<r.length;e++){const[n,s,a]=r[e];t.xs[o][e]=n,t.ys[o][e]=s,t.zs[o][e]=c(a)}break}case\"MultiPoint\":s.logger.warn(\"MultiPoint not supported in Bokeh\");break;case\"MultiLineString\":{const n=e.coordinates.reduce(r);for(let e=0;e<n.length;e++){const[r,s,a]=n[e];t.xs[o][e]=r,t.ys[o][e]=s,t.zs[o][e]=c(a)}break}case\"MultiPolygon\":{const n=[];for(const t of e.coordinates)t.length>1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;e<a.length;e++){const[r,n,s]=a[e];t.xs[o][e]=r,t.ys[o][e]=n,t.zs[o][e]=c(s)}break}default:throw new Error(\"Invalid GeoJSON geometry type: \"+e.type)}}geojson_to_column_data(){const e=JSON.parse(this.geojson);let t;switch(e.type){case\"GeometryCollection\":if(null==e.geometries)throw new Error(\"No geometries found in GeometryCollection\");if(0===e.geometries.length)throw new Error(\"geojson.geometries must have one or more items\");t=e.geometries;break;case\"FeatureCollection\":if(null==e.features)throw new Error(\"No features found in FeaturesCollection\");if(0==e.features.length)throw new Error(\"geojson.features must have one or more items\");t=e.features;break;default:throw new Error(\"Bokeh only supports type GeometryCollection and FeatureCollection at top level\")}let o=0;for(const e of t){const t=\"Feature\"===e.type?e.geometry:e;\"GeometryCollection\"==t.type?o+=t.geometries.length:o+=1}const r={x:this._get_new_nan_array(o),y:this._get_new_nan_array(o),z:this._get_new_nan_array(o),xs:this._get_new_list_array(o),ys:this._get_new_list_array(o),zs:this._get_new_list_array(o)};let n=0;for(const e of t){const t=\"Feature\"==e.type?e.geometry:e;if(\"GeometryCollection\"==t.type)for(const s of t.geometries)this._add_geometry(s,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1;else this._add_geometry(t,r,n),\"Feature\"===e.type&&this._add_properties(e,r,n,o),n+=1}return r}}o.GeoJSONDataSource=_,_.__name__=\"GeoJSONDataSource\",_.init_GeoJSONDataSource()},\n      function _(e,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});var c=e(127);i.AdaptiveTicker=c.AdaptiveTicker;var a=e(126);i.BasicTicker=a.BasicTicker;var k=e(180);i.CategoricalTicker=k.CategoricalTicker;var T=e(191);i.CompositeTicker=T.CompositeTicker;var t=e(128);i.ContinuousTicker=t.ContinuousTicker;var o=e(190);i.DatetimeTicker=o.DatetimeTicker;var v=e(192);i.DaysTicker=v.DaysTicker;var n=e(330);i.FixedTicker=n.FixedTicker;var s=e(199);i.LogTicker=s.LogTicker;var l=e(202);i.MercatorTicker=l.MercatorTicker;var u=e(195);i.MonthsTicker=u.MonthsTicker;var d=e(193);i.SingleIntervalTicker=d.SingleIntervalTicker;var g=e(129);i.Ticker=g.Ticker;var C=e(196);i.YearsTicker=C.YearsTicker},\n      function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),n=i(128),s=r.__importStar(i(18));class _ extends n.ContinuousTicker{constructor(i){super(i),this.min_interval=0,this.max_interval=0}static init_FixedTicker(){this.define({ticks:[s.Array,[]],minor_ticks:[s.Array,[]]})}get_ticks_no_defaults(i,t,e,r){return{major:this.ticks,minor:this.minor_ticks}}get_interval(i,t,e){return 0}}e.FixedTicker=_,_.__name__=\"FixedTicker\",_.init_FixedTicker()},\n      function _(e,r,o){Object.defineProperty(o,\"__esModule\",{value:!0});var T=e(332);o.BBoxTileSource=T.BBoxTileSource;var c=e(333);o.MercatorTileSource=c.MercatorTileSource;var i=e(336);o.QUADKEYTileSource=i.QUADKEYTileSource;var l=e(337);o.TileRenderer=l.TileRenderer;var S=e(334);o.TileSource=S.TileSource;var u=e(341);o.TMSTileSource=u.TMSTileSource;var a=e(338);o.WMTSTileSource=a.WMTSTileSource},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1),i=e(333),l=o.__importStar(e(18));class _ extends i.MercatorTileSource{constructor(e){super(e)}static init_BBoxTileSource(){this.define({use_latlon:[l.Boolean,!1]})}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars);let i,l,_,n;return this.use_latlon?[l,n,i,_]=this.get_tile_geographic_bounds(e,t,r):[l,n,i,_]=this.get_tile_meter_bounds(e,t,r),o.replace(\"{XMIN}\",l.toString()).replace(\"{YMIN}\",n.toString()).replace(\"{XMAX}\",i.toString()).replace(\"{YMAX}\",_.toString())}}r.BBoxTileSource=_,_.__name__=\"BBoxTileSource\",_.init_BBoxTileSource()},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const _=t(1),s=t(334),r=_.__importStar(t(18)),o=t(9),n=t(335);class l extends s.TileSource{constructor(t){super(t)}static init_MercatorTileSource(){this.define({snap_to_zoom:[r.Boolean,!1],wrap_around:[r.Boolean,!0]}),this.override({x_origin_offset:20037508.34,y_origin_offset:20037508.34,initial_resolution:156543.03392804097})}initialize(){super.initialize(),this._resolutions=o.range(this.min_zoom,this.max_zoom+1).map(t=>this.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)<Math.abs(t-r)?e:t}));return this._resolutions.indexOf(o)}snap_to_zoom_level(t,e,i,_){const[s,r,o,n]=t,l=this._resolutions[_];let u=i*l,a=e*l;if(!this.snap_to_zoom){const t=(o-s)/u,e=(n-r)/a;t>e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);i=0===i?i:i-1;return[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<<i)-e]}meters_to_tile(t,e,i){const[_,s]=this.meters_to_pixels(t,e,i);return this.pixels_to_tile(_,s)}get_tile_meter_bounds(t,e,i){const[_,s]=this.pixels_to_meters(t*this.tile_size,e*this.tile_size,i),[r,o]=this.pixels_to_meters((t+1)*this.tile_size,(e+1)*this.tile_size,i);return[_,s,r,o]}get_tile_geographic_bounds(t,e,i){const _=this.get_tile_meter_bounds(t,e,i),[s,r,o,l]=n.meters_extent_to_geographic(_);return[s,r,o,l]}get_tiles_by_extent(t,e,i=1){const[_,s,r,o]=t;let[n,l]=this.meters_to_tile(_,s,e),[u,a]=this.meters_to_tile(r,o,e);n-=i,l-=i,u+=i,a+=i;const h=[];for(let t=a;t>=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<<s-1;switch(t.charAt(_-s)){case\"0\":continue;case\"1\":e|=r;break;case\"2\":i|=r;break;case\"3\":e|=r,i|=r;break;default:throw new TypeError(\"Invalid Quadkey: \"+t)}}return[e,i,_]}tile_xyz_to_quadkey(t,e,i){let _=\"\";for(let s=i;s>0;s--){const i=1<<s-1;let r=0;0!=(t&i)&&(r+=1),0!=(e&i)&&(r+=2),_+=r.toString()}return _}children_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=[];for(let t=0;t<=3;t++){const[e,i,r]=this.quadkey_to_tile_xyz(_+t.toString()),o=this.get_tile_meter_bounds(e,i,r);s.push([e,i,r,o])}return s}get_closest_parent_by_tile_xyz(t,e,i){const _=this.calculate_world_x_by_tile_xyz(t,e,i);[t,e,i]=this.normalize_xyz(t,e,i);let s=this.tile_xyz_to_quadkey(t,e,i);for(;s.length>0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(81),s=e(13),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(37);function o(e,t){return n.wgs84_mercator.compute(e,t)}function c(e,t){return n.wgs84_mercator.invert(e,t)}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,u]=o(t,r),[i,g]=o(n,c);return[_,u,i,g]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,u]=c(t,r),[i,g]=c(n,o);return[_,u,i,g]}},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(333);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),_=t(338),n=t(91),a=t(158),r=t(72),o=s.__importStar(t(18)),h=t(251),l=t(9),d=t(8),m=t(89),c=t(85),g=t(339),p=s.__importDefault(t(340));class u extends n.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:t}=this.model.tile_source;if(d.isString(t)&&t.length>0){const{layout:e,frame:i}=this.plot_view,s=e.bbox.width-i.bbox.right,_=e.bbox.height-i.bbox.bottom,n=i.bbox.width;this.attribution_el=r.div({class:g.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":n-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=t,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const t=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width),e=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame.bbox.height,this.map_frame.bbox.width,t);this.x_range.start=e[0],this.y_range.start=e[1],this.x_range.end=e[2],this.y_range.end=e[3],this.x_range instanceof a.Range1d&&(this.x_range.reset_start=e[0],this.x_range.reset_end=e[2]),this.y_range instanceof a.Range1d&&(this.y_range.reset_start=e[1],this.y_range.reset_end=e[3]),this._update_attribution()}_create_tile(t,e,i,s,_=!1){const[n,a,r]=this.model.tile_source.normalize_xyz(t,e,i),o={img:void 0,tile_coords:[t,e,i],normalized_coords:[n,a,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(t,e,i),cache_key:this.model.tile_source.tile_xyz_to_key(t,e,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},l=this.model.tile_source.get_image_url(n,a,r);new h.ImageLoader(l,{loaded:t=>{Object.assign(o,{img:t,loaded:!0}),_?(o.finished=!0,this.notify_finished()):this.request_render()},failed(){o.finished=!0}}),this.model.tile_source.tiles.set(o.cache_key,o),this._tiles.push(o)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame.bbox.height||this._last_width!==this.map_frame.bbox.width){const t=this.get_extent(),e=this.model.tile_source.get_level_by_extent(t,this.map_frame.bbox.height,this.map_frame.bbox.width),i=this.model.tile_source.snap_to_zoom_level(t,this.map_frame.bbox.height,this.map_frame.bbox.width,e);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame.bbox.height,this._last_width=this.map_frame.bbox.width}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const t of this._tiles)if(!t.finished)return!1;return!0}_render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(t){const e=this.model.tile_source.tiles.get(t);if(null!=e&&e.loaded){const[[t],[i]]=this.coordinates.map_to_screen([e.bounds[0]],[e.bounds[3]]),[[s],[_]]=this.coordinates.map_to_screen([e.bounds[2]],[e.bounds[1]]),n=s-t,a=_-i,r=t,o=i,h=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(e.img,r,o,n,a),this.map_canvas.setImageSmoothingEnabled(h),e.finished=!0}}_set_rect(){const t=this.plot_model.properties.outline_line_width.value(),e=this.map_frame.bbox.left+t/2,i=this.map_frame.bbox.top+t/2,s=this.map_frame.bbox.width-t,_=this.map_frame.bbox.height-t;this.map_canvas.rect(e,i,s,_),this.map_canvas.clip()}_render_tiles(t){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const e of t)this._draw_tile(e);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:t}=this.model,e=this.get_extent(),i=this.map_frame.bbox.height,s=this.map_frame.bbox.width,_=this.model.tile_source.get_level_by_extent(e,i,s),n=this.model.tile_source.get_tiles_by_extent(e,_);for(let e=0,i=Math.min(10,n.length);e<i;e++){const[i,s,_]=n[e],a=this.model.tile_source.children_by_tile_xyz(i,s,_);for(const e of a){const[i,s,_,n]=e;t.tiles.has(t.tile_xyz_to_key(i,s,_))||this._create_tile(i,s,_,n,!0)}}}_fetch_tiles(t){for(const e of t){const[t,i,s,_]=e;this._create_tile(t,i,s,_)}}_update(){const{tile_source:t}=this.model,{min_zoom:e}=t,{max_zoom:i}=t;let s=this.get_extent();const _=this.extent[2]-this.extent[0]<s[2]-s[0],n=this.map_frame.bbox.height,a=this.map_frame.bbox.width;let r=t.get_level_by_extent(s,n,a),o=!1;r<e?(s=this.extent,r=e,o=!0):r>i&&(s=this.extent,r=i,o=!0),o&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const h=t.get_tiles_by_extent(s,r),d=[],m=[],c=[],g=[];for(const e of h){const[i,s,n]=e,a=t.tile_xyz_to_key(i,s,n),r=t.tiles.get(a);if(null!=r&&r.loaded)m.push(a);else if(this.model.render_parents){const[e,a,r]=t.get_closest_parent_by_tile_xyz(i,s,n),o=t.tile_xyz_to_key(e,a,r),h=t.tiles.get(o);if(null!=h&&h.loaded&&!l.includes(c,o)&&c.push(o),_){const e=t.children_by_tile_xyz(i,s,n);for(const[i,s,_]of e){const e=t.tile_xyz_to_key(i,s,_);t.tiles.has(e)&&g.push(e)}}}null==r&&d.push(e)}this._render_tiles(c),this._render_tiles(g),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=u,u.__name__=\"TileRendererView\";class b extends n.DataRenderer{constructor(t){super(t),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=u,this.define({alpha:[o.Number,1],smoothing:[o.Boolean,!0],tile_source:[o.Instance,()=>new _.WMTSTileSource],render_parents:[o.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=b,b.__name__=\"TileRenderer\",b.init_TileRenderer()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(333);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n      function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n  color: black;\\n}\\n\"},\n      function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(333);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n      function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(343);a.CanvasTexture=t.CanvasTexture;var u=e(345);a.ImageURLTexture=u.ImageURLTexture;var v=e(344);a.Texture=v.Texture},\n      function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(344),s=r.__importStar(t(18)),i=t(29);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(81),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(344),n=r.__importStar(e(18)),s=e(251);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n      function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(307);T.ActionTool=a.ActionTool;var r=o(347);T.CustomAction=r.CustomAction;var e=o(308);T.HelpTool=e.HelpTool;var v=o(348);T.RedoTool=v.RedoTool;var t=o(349);T.ResetTool=t.ResetTool;var n=o(350);T.SaveTool=n.SaveTool;var s=o(351);T.UndoTool=s.UndoTool;var i=o(352);T.ZoomInTool=i.ZoomInTool;var P=o(355);T.ZoomOutTool=P.ZoomOutTool;var c=o(296);T.ButtonTool=c.ButtonTool;var d=o(356);T.EditTool=d.EditTool;var u=o(357);T.BoxEditTool=u.BoxEditTool;var y=o(358);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(359);T.PointDrawTool=m.PointDrawTool;var x=o(360);T.PolyDrawTool=x.PolyDrawTool;var B=o(361);T.PolyTool=B.PolyTool;var S=o(362);T.PolyEditTool=S.PolyEditTool;var b=o(363);T.BoxSelectTool=b.BoxSelectTool;var h=o(366);T.BoxZoomTool=h.BoxZoomTool;var E=o(306);T.GestureTool=E.GestureTool;var Z=o(367);T.LassoSelectTool=Z.LassoSelectTool;var p=o(369);T.LineEditTool=p.LineEditTool;var w=o(371);T.PanTool=w.PanTool;var C=o(368);T.PolySelectTool=C.PolySelectTool;var D=o(372);T.RangeTool=D.RangeTool;var H=o(364);T.SelectTool=H.SelectTool;var R=o(373);T.TapTool=R.TapTool;var A=o(374);T.WheelPanTool=A.WheelPanTool;var I=o(375);T.WheelZoomTool=I.WheelZoomTool;var L=o(376);T.CrosshairTool=L.CrosshairTool;var W=o(377);T.CustomJSHover=W.CustomJSHover;var O=o(378);T.HoverTool=O.HoverTool;var _=o(295);T.InspectTool=_.InspectTool;var f=o(298);T.Tool=f.Tool;var g=o(379);T.ToolProxy=g.ToolProxy;var F=o(294);T.Toolbar=F.Toolbar;var G=o(305);T.ToolbarBase=G.ToolbarBase;var J=o(380);T.ProxyToolbar=J.ProxyToolbar;var U=o(380);T.ToolbarBox=U.ToolbarBox},\n      function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(307),e=n.__importStar(t(18)),c=t(299);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n      function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(307),s=o(309);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(307),i=e(309);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const a=e(307),i=e(309);class n extends a.ActionToolView{async copy(){const e=await this.plot_view.to_blob(),o=new ClipboardItem({[e.type]:e});await navigator.clipboard.write([o])}async save(e){const o=await this.plot_view.to_blob(),t=document.createElement(\"a\");t.href=URL.createObjectURL(o),t.download=e,t.target=\"_blank\",t.dispatchEvent(new MouseEvent(\"click\"))}doit(e=\"save\"){switch(e){case\"save\":this.save(\"bokeh_plot\");break;case\"copy\":this.copy()}}}t.SaveToolView=n,n.__name__=\"SaveToolView\";class s extends a.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=i.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=n,this.register_alias(\"save\",()=>new s)}get menu(){return[{icon:\"bk-tool-icon-copy-to-clipboard\",tooltip:\"Copy image to clipboard\",if:()=>\"undefined\"!=typeof ClipboardItem,handler:()=>{this.do.emit(\"copy\")}}]}}t.SaveTool=s,s.__name__=\"SaveTool\",s.init_SaveTool()},\n      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(307),i=o(309);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n      function _(o,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(353),s=o(309);class t extends n.ZoomBaseTool{constructor(o){super(o),this.sign=1,this.tool_name=\"Zoom In\",this.icon=s.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=n.ZoomBaseToolView,this.register_alias(\"zoom_in\",()=>new t({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new t({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new t({dimensions:\"height\"}))}}e.ZoomInTool=t,t.__name__=\"ZoomInTool\",t.init_ZoomInTool()},\n      function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=o(1),s=o(307),n=o(354),_=i.__importStar(o(18));class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,e=\"width\"==t||\"both\"==t,i=\"height\"==t||\"both\"==t,s=n.scale_range(o,this.model.sign*this.model.factor,e,i);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}e.ZoomBaseToolView=l,l.__name__=\"ZoomBaseToolView\";class a extends s.ActionTool{constructor(o){super(o)}static init_ZoomBaseTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.ZoomBaseTool=a,a.__name__=\"ZoomBaseTool\",a.init_ZoomBaseTool()},\n      function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=n(10);function r(n,e,t){const[o,r]=[n.start,n.end],s=null!=t?t:(r+o)/2;return[o-(o-s)*e,r-(r-s)*e]}function s(n,[e,t]){const o=new Map;for(const[r,s]of n){const[n,c]=s.r_invert(e,t);o.set(r,{start:n,end:c})}return o}t.scale_highlow=r,t.get_info=s,t.scale_range=function(n,e,t=!0,c=!0,l){e=o.clamp(e,-.9,.9);const a=t?e:0,[u,_]=r(n.bbox.h_range,a,null!=l?l.x:void 0),i=s(n.x_scales,[u,_]),f=c?e:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:i,yrs:s(n.y_scales,[d,b]),factor:e}}},\n      function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(353),s=o(309);class n extends e.ZoomBaseTool{constructor(o){super(o),this.sign=-1,this.tool_name=\"Zoom Out\",this.icon=s.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=e.ZoomBaseToolView,this.register_alias(\"zoom_out\",()=>new n({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new n({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new n({dimensions:\"height\"}))}}i.ZoomOutTool=n,n.__name__=\"ZoomOutTool\",n.init_ZoomOutTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),i=e(9),n=e(8),r=e(11),_=e(306);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:o}=e;return t||o?t&&!o?\"append\":!t&&o?\"intersect\":t&&o?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,o){if(!this.plot_view.frame.bbox.contains(e,t))return null;const s=this.plot_view.renderer_views.get(o);return[s.coordinates.x_scale.invert(e),s.coordinates.y_scale.invert(t)]}_delete_selected(e){const t=e.data_source,o=t.selected.indices;o.sort();for(const e of t.columns()){const s=t.get_array(e);for(let e=0;e<o.length;e++){const t=o[e];s.splice(t-e,1)}}this._emit_cds_changes(t)}_pop_glyphs(e,t){const o=e.columns();if(t&&o.length)for(const s of o){let o=e.get_array(s);const i=o.length-t+1;i<1||(n.isArray(o)||(o=Array.from(o),e.data[s]=o),o.splice(0,i))}}_emit_cds_changes(e,t=!0,o=!0,s=!0){o&&e.selection_manager.clear(),t&&e.change.emit(),s&&(e.data=e.data,e.properties.data.change.emit())}_drag_points(e,t,o=\"both\"){if(null==this._basepoint)return;const[s,i]=this._basepoint;for(const n of t){const t=this._map_drag(s,i,n),r=this._map_drag(e.sx,e.sy,n);if(null==r||null==t)continue;const[_,c]=r,[a,l]=t,[d,u]=[_-a,c-l],h=n.glyph,m=n.data_source,[p,f]=[h.x.field,h.y.field];for(const e of m.selected.indices)!p||\"width\"!=o&&\"both\"!=o||(m.data[p][e]+=d),!f||\"height\"!=o&&\"both\"!=o||(m.data[f][e]+=u);m.change.emit()}this._basepoint=[e.sx,e.sy]}_pad_empty_columns(e,t){for(const o of e.columns())i.includes(t,o)||e.get_array(o).push(this.model.empty_value)}_select_event(e,t,o){const s=this.plot_view.frame,{sx:i,sy:n}=e;if(!s.bbox.contains(i,n))return[];const r={type:\"point\",sx:i,sy:n},_=[];for(const e of o){const o=e.get_selection_manager(),s=e.data_source,i=[this.plot_view.renderer_views.get(e)];o.select(i,r,!0,t)&&_.push(e),s.properties.selected.change.emit()}return _}}o.EditToolView=c,c.__name__=\"EditToolView\";class a extends _.GestureTool{constructor(e){super(e)}static init_EditTool(){this.define({custom_icon:[s.String],custom_tooltip:[s.String],empty_value:[s.Any],renderers:[s.Array,[]]})}get tooltip(){return this.custom_tooltip||this.tool_name}get computed_icon(){return this.custom_icon||this.icon}}o.EditTool=a,a.__name__=\"EditTool\",a.init_EditTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(72),o=i.__importStar(e(18)),n=e(356),a=e(309);class d extends n.EditToolView{_tap(e){null==this._draw_basepoint&&null==this._basepoint&&this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)if(e.keyCode===_.Keys.Backspace)this._delete_selected(t);else if(e.keyCode==_.Keys.Esc){t.data_source.selection_manager.clear()}}_set_extent([e,t],[s,i],_,o=!1){const n=this.model.renderers[0],a=this.plot_view.renderer_views.get(n),d=n.glyph,l=n.data_source,[r,h]=a.coordinates.x_scale.r_invert(e,t),[p,u]=a.coordinates.y_scale.r_invert(s,i),[c,m]=[(r+h)/2,(p+u)/2],[f,b]=[h-r,u-p],[x,y]=[d.x.field,d.y.field],[w,v]=[d.width.field,d.height.field];if(_)this._pop_glyphs(l,this.model.num_objects),x&&l.get_array(x).push(c),y&&l.get_array(y).push(m),w&&l.get_array(w).push(f),v&&l.get_array(v).push(b),this._pad_empty_columns(l,[x,y,w,v]);else{const e=l.data[x].length-1;x&&(l.data[x][e]=c),y&&(l.data[y][e]=m),w&&(l.data[w][e]=f),v&&(l.data[v][e]=b)}this._emit_cds_changes(l,!0,!1,o)}_update_box(e,t=!1,s=!1){if(null==this._draw_basepoint)return;const i=[e.sx,e.sy],_=this.plot_view.frame,o=this.model.dimensions,n=this.model._get_dim_limits(this._draw_basepoint,i,_,o);if(null!=n){const[e,i]=n;this._set_extent(e,i,t,s)}}_doubletap(e){this.model.active&&(null!=this._draw_basepoint?(this._update_box(e,!1,!0),this._draw_basepoint=null):(this._draw_basepoint=[e.sx,e.sy],this._select_event(e,\"append\",this.model.renderers),this._update_box(e,!0,!1)))}_move(e){this._update_box(e,!1,!1)}_pan_start(e){if(e.shiftKey){if(null!=this._draw_basepoint)return;this._draw_basepoint=[e.sx,e.sy],this._update_box(e,!0,!1)}else{if(null!=this._basepoint)return;this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy]}}_pan(e,t=!1,s=!1){if(e.shiftKey){if(null==this._draw_basepoint)return;this._update_box(e,t,s)}else{if(null==this._basepoint)return;this._drag_points(e,this.model.renderers)}}_pan_end(e){if(this._pan(e,!1,!0),e.shiftKey)this._draw_basepoint=null;else{this._basepoint=null;for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0)}}}s.BoxEditToolView=d,d.__name__=\"BoxEditToolView\";class l extends n.EditTool{constructor(e){super(e),this.tool_name=\"Box Edit Tool\",this.icon=a.bk_tool_icon_box_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=1}static init_BoxEditTool(){this.prototype.default_view=d,this.define({dimensions:[o.Dimensions,\"both\"],num_objects:[o.Int,0]})}}s.BoxEditTool=l,l.__name__=\"BoxEditTool\",l.init_BoxEditTool()},\n      function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),r=e(72),_=s.__importStar(e(18)),o=e(8),i=e(356),d=e(309);class n extends i.EditToolView{_draw(e,t,a=!1){if(!this.model.active)return;const s=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,s);if(null==r)return;const[_,i]=r,d=s.data_source,n=s.glyph,[l,h]=[n.xs.field,n.ys.field];if(\"new\"==t)this._pop_glyphs(d,this.model.num_objects),l&&d.get_array(l).push([_]),h&&d.get_array(h).push([i]),this._pad_empty_columns(d,[l,h]);else if(\"add\"==t){if(l){const e=d.data[l].length-1;let t=d.get_array(l)[e];o.isArray(t)||(t=Array.from(t),d.data[l][e]=t),t.push(_)}if(h){const e=d.data[h].length-1;let t=d.get_array(h)[e];o.isArray(t)||(t=Array.from(t),d.data[h][e]=t),t.push(i)}}this._emit_cds_changes(d,!0,!0,a)}_pan_start(e){this._draw(e,\"new\")}_pan(e){this._draw(e,\"add\")}_pan_end(e){this._draw(e,\"add\",!0)}_tap(e){this._select_event(e,this._select_mode(e),this.model.renderers)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Esc?t.data_source.selection_manager.clear():e.keyCode===r.Keys.Backspace&&this._delete_selected(t)}}a.FreehandDrawToolView=n,n.__name__=\"FreehandDrawToolView\";class l extends i.EditTool{constructor(e){super(e),this.tool_name=\"Freehand Draw Tool\",this.icon=d.bk_tool_icon_freehand_draw,this.event_type=[\"pan\",\"tap\"],this.default_order=3}static init_FreehandDrawTool(){this.prototype.default_view=n,this.define({num_objects:[_.Int,0]})}}a.FreehandDrawTool=l,l.__name__=\"FreehandDrawTool\",l.init_FreehandDrawTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(72),a=s.__importStar(e(18)),n=e(356),_=e(309);class r extends n.EditToolView{_tap(e){if(this._select_event(e,this._select_mode(e),this.model.renderers).length||!this.model.add)return;const t=this.model.renderers[0],o=this._map_drag(e.sx,e.sy,t);if(null==o)return;const s=t.glyph,i=t.data_source,[a,n]=[s.x.field,s.y.field],[_,r]=o;this._pop_glyphs(i,this.model.num_objects),a&&i.get_array(a).push(_),n&&i.get_array(n).push(r),this._pad_empty_columns(i,[a,n]),i.change.emit(),i.data=i.data,i.properties.data.change.emit()}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===i.Keys.Backspace?this._delete_selected(t):e.keyCode==i.Keys.Esc&&t.data_source.selection_manager.clear()}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){this.model.drag&&null!=this._basepoint&&this._drag_points(e,this.model.renderers)}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source,!1,!0,!0);this._basepoint=null}}}o.PointDrawToolView=r,r.__name__=\"PointDrawToolView\";class d extends n.EditTool{constructor(e){super(e),this.tool_name=\"Point Draw Tool\",this.icon=_.bk_tool_icon_point_draw,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=2}static init_PointDrawTool(){this.prototype.default_view=r,this.define({add:[a.Boolean,!0],drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}o.PointDrawTool=d,d.__name__=\"PointDrawTool\",d.init_PointDrawTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(72),a=i.__importStar(e(18)),o=e(8),n=e(361),_=e(309);class d extends n.PolyToolView{constructor(){super(...arguments),this._drawing=!1,this._initialized=!1}_tap(e){this._drawing?this._draw(e,\"add\",!0):this._select_event(e,this._select_mode(e),this.model.renderers)}_draw(e,t,s=!1){const i=this.model.renderers[0],r=this._map_drag(e.sx,e.sy,i);if(this._initialized||this.activate(),null==r)return;const[a,n]=this._snap_to_vertex(e,...r),_=i.data_source,d=i.glyph,[l,h]=[d.xs.field,d.ys.field];if(\"new\"==t)this._pop_glyphs(_,this.model.num_objects),l&&_.get_array(l).push([a,a]),h&&_.get_array(h).push([n,n]),this._pad_empty_columns(_,[l,h]);else if(\"edit\"==t){if(l){const e=_.data[l][_.data[l].length-1];e[e.length-1]=a}if(h){const e=_.data[h][_.data[h].length-1];e[e.length-1]=n}}else if(\"add\"==t){if(l){const e=_.data[l].length-1;let t=_.get_array(l)[e];const s=t[t.length-1];t[t.length-1]=a,o.isArray(t)||(t=Array.from(t),_.data[l][e]=t),t.push(s)}if(h){const e=_.data[h].length-1;let t=_.get_array(h)[e];const s=t[t.length-1];t[t.length-1]=n,o.isArray(t)||(t=Array.from(t),_.data[h][e]=t),t.push(s)}}this._emit_cds_changes(_,!0,!1,s)}_show_vertices(){if(!this.model.active)return;const e=[],t=[];for(let s=0;s<this.model.renderers.length;s++){const i=this.model.renderers[s],r=i.data_source,a=i.glyph,[o,n]=[a.xs.field,a.ys.field];if(o)for(const t of r.get_array(o))Array.prototype.push.apply(e,t);if(n)for(const e of r.get_array(n))Array.prototype.push.apply(t,e);this._drawing&&s==this.model.renderers.length-1&&(e.splice(e.length-1,1),t.splice(t.length-1,1))}this._set_vertices(e,t)}_doubletap(e){this.model.active&&(this._drawing?(this._drawing=!1,this._draw(e,\"edit\",!0)):(this._drawing=!0,this._draw(e,\"new\",!0)))}_move(e){this._drawing&&this._draw(e,\"edit\")}_remove(){const e=this.model.renderers[0],t=e.data_source,s=e.glyph,[i,r]=[s.xs.field,s.ys.field];if(i){const e=t.data[i].length-1,s=t.get_array(i)[e];s.splice(s.length-1,1)}if(r){const e=t.data[r].length-1,s=t.get_array(r)[e];s.splice(s.length-1,1)}this._emit_cds_changes(t)}_keyup(e){if(this.model.active&&this._mouse_in_frame)for(const t of this.model.renderers)e.keyCode===r.Keys.Backspace?this._delete_selected(t):e.keyCode==r.Keys.Esc&&(this._drawing&&(this._remove(),this._drawing=!1),t.data_source.selection_manager.clear())}_pan_start(e){this.model.drag&&(this._select_event(e,\"append\",this.model.renderers),this._basepoint=[e.sx,e.sy])}_pan(e){if(null==this._basepoint||!this.model.drag)return;const[t,s]=this._basepoint;for(const i of this.model.renderers){const r=this._map_drag(t,s,i),a=this._map_drag(e.sx,e.sy,i);if(null==a||null==r)continue;const o=i.data_source,n=i.glyph,[_,d]=[n.xs.field,n.ys.field];if(!_&&!d)continue;const[l,h]=a,[c,g]=r,[p,f]=[l-c,h-g];for(const e of o.selected.indices){let t,s,i;_&&(s=o.data[_][e]),d?(i=o.data[d][e],t=i.length):t=s.length;for(let e=0;e<t;e++)s&&(s[e]+=p),i&&(i[e]+=f)}o.change.emit()}this._basepoint=[e.sx,e.sy]}_pan_end(e){if(this.model.drag){this._pan(e);for(const e of this.model.renderers)this._emit_cds_changes(e.data_source);this._basepoint=null}}activate(){if(this.model.vertex_renderer&&this.model.active){if(this._show_vertices(),!this._initialized)for(const e of this.model.renderers){const t=e.data_source;t.connect(t.properties.data.change,()=>this._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n      function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(356);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(72),i=e(8),_=e(361),d=e(309);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n      function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(364),l=e(124),_=s.__importStar(e(18)),n=e(309);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(306),r=e(90),c=e(116),i=e(365),l=n.__importStar(e(18)),a=e(72),_=e(313),d=e(15),h=e(11);class p extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{x_scale:s,y_scale:n}=this.plot_view.frame;let o;switch(e.type){case\"point\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:r}=e,c=s.invert(t),i=n.invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:r,sy0:c,sy1:i}=e,[l,a]=s.r_invert(t,r),[_,d]=n.r_invert(c,i);o=Object.assign(Object.assign({},e),{x0:l,y0:_,x1:a,y1:d});break}case\"poly\":{const{sx:t,sy:r}=e,c=s.v_invert(t),i=n.v_invert(r);o=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new _.SelectionGeometry(o,t))}}s.SelectToolView=p,p.__name__=\"SelectToolView\";class u extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new d.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=u,u.__name__=\"SelectTool\",u.init_SelectTool()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(306),n=t(124),_=s.__importStar(t(18)),a=t(309);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m<n&&(m=n)),l=Math.abs(p-m),t[1]<=o[1]?(b=t[1],d=t[1]+l/s,d>_&&(d=_)):(d=t[1],b=t[1]-l/s,b<a&&(b=a)),r=Math.abs(d-b),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[b,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{x_scales:i,y_scales:n}=this.plot_view.frame,_=new Map;for(const[e,s]of i){const[i,n]=s.r_invert(t,o);_.set(e,{start:i,end:n})}const a=new Map;for(const[t,o]of n){const[i,n]=o.r_invert(e,s);a.set(t,{start:i,end:n})}const l={xrs:_,yrs:a};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),a=e(364),i=e(368),l=e(72),_=o.__importStar(e(18)),c=e(309);class n extends a.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==l.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,a]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(a);this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const a={type:\"poly\",sx:e,sy:s};this._select(a,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";class h extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,i.DEFAULT_POLY_OVERLAY]}),this.register_alias(\"lasso_select\",()=>new h)}}t.LassoSelectTool=h,h.__name__=\"LassoSelectTool\",h.init_LassoSelectTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),i=e(364),o=e(166),a=e(72),_=l.__importStar(e(18)),c=e(9),n=e(309);class h extends i.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const i={type:\"poly\",sx:e,sy:t};this._select(i,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\",s.DEFAULT_POLY_OVERLAY=()=>new o.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class y extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,s.DEFAULT_POLY_OVERLAY]}),this.register_alias(\"poly_select\",()=>new y)}}s.PolySelectTool=y,y.__name__=\"PolySelectTool\",y.init_PolySelectTool()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(370),r=s.__importStar(e(18)),_=e(309);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n      function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(356);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n      function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),i=t(306),o=n.__importStar(t(18)),a=t(309);function _(t,s,e){const n=new Map;for(const[i,o]of t){const[t,a]=o.r_invert(s,e);n.set(i,{start:t,end:a})}return n}e.update_ranges=_;class h extends i.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:e}=t,n=this.plot_view.frame.bbox;if(!n.contains(s,e)){const t=n.h_range,i=n.v_range;(s<t.start||s>t.end)&&(this.v_axis_only=!0),(e<i.start||e>i.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const e=this.plot_view.frame,n=t-this.last_dx,i=s-this.last_dy,o=e.bbox.h_range,a=o.start-n,h=o.end-n,l=e.bbox.v_range,r=l.start-i,d=l.end-i,p=this.model.dimensions;let c,u,m,x,y,g;\"width\"!=p&&\"both\"!=p||this.v_axis_only?(c=o.start,u=o.end,m=0):(c=a,u=h,m=-n),\"height\"!=p&&\"both\"!=p||this.h_axis_only?(x=l.start,y=l.end,g=0):(x=r,y=d,g=-i),this.last_dx=t,this.last_dy=s;const{x_scales:w,y_scales:b}=e,f=_(w,c,u),v=_(b,x,y);this.pan_info={xrs:f,yrs:v,sdx:m,sdy:g},this.plot_view.update_range(this.pan_info,!0)}}e.PanToolView=h,h.__name__=\"PanToolView\";class l extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=h,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new l({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new l({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new l({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}e.PanTool=l,l.__name__=\"PanTool\",l.init_PanTool()},\n      function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(124),l=e(19),a=s.__importStar(e(18)),r=e(306),o=e(309);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,i,s){if(null==t)return!1;const n=i.compute(t);return Math.abs(e-n)<s}function d(e,t,i,s,n){let l=!0;if(null!=n.left&&null!=n.right){const t=i.invert(e);(t<n.left||t>n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=s.invert(t);(e<n.bottom||e>n.top)&&(l=!1)}return l}function u(e,t,i){let s=0;return e>=i.start&&e<=i.end&&(s+=1),t>=i.start&&t<=i.end&&(s+=1),s}function c(e,t,i,s){const n=t.compute(e),l=t.invert(n+i);return l>=s.start&&l<=s.end?l:e}function g(e,t,i){return e>t.start?(t.end=e,i):(t.end=t.start,t.start=e,_(i))}function y(e,t,i){return e<t.end?(t.start=e,i):(t.start=t.end,t.end=e,_(i))}function f(e,t,i,s){const[n,l]=t.r_compute(e.start,e.end),[a,r]=t.r_invert(n+i,l+i),o=u(e.start,e.end,s);u(a,r,s)>=o&&(e.start=a,e.end=r)}i.flip_side=_,i.is_near=h,i.is_inside=d,i.sides_inside=u,i.compute_value=c,i.update_range_end_side=g,i.update_range_start_side=y,i.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,i=this.model.y_range,{frame:s}=this.plot_view,l=s.x_scale,a=s.y_scale,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=i&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,i=e.deltaX-this.last_dx,s=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.x_scale,r=t.y_scale;if(null!=n)if(3==this.side||7==this.side)f(n,a,i,t.x_range);else if(1==this.side){const e=c(n.start,a,i,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,i,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,s,t.y_range);else if(4==this.side){const e=c(l.start,r,s,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,s,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}i.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}i.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),i=e(364),c=o.__importStar(e(18)),n=e(309);class a extends i.SelectToolView{_tap(e){const{sx:t,sy:s}=e,o={type:\"point\",sx:t,sy:s};this._select(o,!0,this._select_mode(e))}_select(e,t,s){const o=this.model.callback;if(\"select\"==this.model.behavior){const i=this._computed_renderers_by_data_source();for(const[,c]of i){const i=c[0].get_selection_manager(),n=c.map(e=>this.plot_view.renderer_views.get(e));if(i.select(n,e,t,s)&&null!=o){const t=n[0].coordinates.x_scale.invert(e.sx),s=n[0].coordinates.y_scale.invert(e.sy),c={geometries:Object.assign(Object.assign({},e),{x:t,y:s}),source:i.source};o.execute(this.model,c)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=this.plot_view.renderer_views.get(t),i=t.get_selection_manager();if(i.inspect(s,e)&&null!=o){const t=s.coordinates.x_scale.invert(e.sx),c=s.coordinates.y_scale.invert(e.sy),n={geometries:Object.assign(Object.assign({},e),{x:t,y:c}),source:i.source};o.execute(this.model,n)}}}}s.TapToolView=a,a.__name__=\"TapToolView\";class _ extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=a,this.define({behavior:[c.TapBehavior,\"select\"],callback:[c.Any]}),this.register_alias(\"click\",()=>new _({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new _)}}s.TapTool=_,_.__name__=\"TapTool\",_.init_TapTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(306),n=i.__importStar(e(18)),a=e(309),l=e(371);class _ extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,i=t.bbox.v_range,[o,n]=[s.start,s.end],[a,_]=[i.start,i.end];let h,r,d,p;switch(this.model.dimension){case\"height\":{const t=Math.abs(_-a);h=o,r=n,d=a-t*e,p=_-t*e;break}case\"width\":{const t=Math.abs(n-o);h=o-t*e,r=n-t*e,d=a,p=_;break}default:throw new Error(\"this shouldn't have happened\")}const{x_scales:c,y_scales:u}=t,m={xrs:l.update_ranges(c,h,r),yrs:l.update_ranges(u,d,p),factor:e};this.plot_view.push_state(\"wheel_pan\",{range:m}),this.plot_view.update_range(m,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=_,_.__name__=\"WheelPanToolView\";class h extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=_,this.define({dimension:[n.Dimension,\"width\"]}),this.internal({speed:[n.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new h({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new h({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=h,h.__name__=\"WheelPanTool\",h.init_WheelPanTool()},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(306),l=e(354),n=s.__importStar(e(18)),_=e(32),h=e(309);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.start<i&&i<t.end,a=(\"height\"==_||\"both\"==_)&&s.start<n&&n<s.end;if(!(h&&a||this.model.zoom_on_axis))return;const m=this.model.speed*e.delta,r=l.scale_range(o,m,h,a,{x:i,y:n});this.plot_view.push_state(\"wheel_zoom\",{range:r}),this.plot_view.update_range(r,!1,!0,this.model.maintain_focus),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}t.WheelZoomToolView=a,a.__name__=\"WheelZoomToolView\";class m extends i.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Zoom\",this.icon=h.bk_tool_icon_wheel_zoom,this.event_type=_.is_mobile?\"pinch\":\"scroll\",this.default_order=10}static init_WheelZoomTool(){this.prototype.default_view=a,this.define({dimensions:[n.Dimensions,\"both\"],maintain_focus:[n.Boolean,!0],zoom_on_axis:[n.Boolean,!0],speed:[n.Number,1/600]}),this.register_alias(\"wheel_zoom\",()=>new m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n      function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(295),n=i(168),l=t.__importStar(i(18)),h=i(13),a=i(309);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(81),i=r.__importStar(e(18)),a=e(13),n=e(29);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(295),i=e(171),r=e(90),l=e(116),c=e(365),a=o.__importStar(e(101)),_=e(187),d=e(72),p=o.__importStar(e(18)),h=e(22),m=e(13),u=e(303),y=e(8),f=e(115),x=e(309),v=e(172);function w(e,t,s,o,n,i){const r={x:n[e],y:i[e]},l={x:n[e+1],y:i[e+1]};let c,_;if(\"span\"==t.type)\"h\"==t.direction?(c=Math.abs(r.x-s),_=Math.abs(l.x-s)):(c=Math.abs(r.y-o),_=Math.abs(l.y-o));else{const e={x:s,y:o};c=a.dist_2_pts(r,e),_=a.dist_2_pts(l,e)}return c<_?[[r.x,r.y],e]:[[l.x,l.y],e+1]}function g(e,t,s){return[[e[s],t[s]],s]}s._nearest_line_hit=w,s._line_hit=g;class b extends n.InspectToolView{initialize(){super.initialize(),this._ttmodels=null,this._ttviews=new Map;const{tooltips:e}=this.model;y.isArray(e)&&(this._template_el=this._create_template(e))}remove(){f.remove_views(this._ttviews),super.remove()}connect_signals(){super.connect_signals();for(const e of this.computed_renderers)e instanceof r.GlyphRenderer?this.connect(e.data_source.inspect,this._update):e instanceof l.GraphRenderer&&(this.connect(e.node_renderer.data_source.inspect,this._update),this.connect(e.edge_renderer.data_source.inspect,this._update));this.connect(this.model.properties.renderers.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const o=new i.Tooltip({custom:y.isString(t)||y.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,o):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,o),e.set(s.edge_renderer,o))}return(async()=>{const t=await f.build_views(this._ttviews,[...e.values()],{parent:this.plot_view});for(const e of t)e.render()})(),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=c.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const o=this.ttmodels.get(s);if(null==o)return;const n=s.get_selection_manager();let i=n.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return void o.clear();const l=n.source,{sx:c,sy:a}=t,_=e.coordinates.x_scale,p=e.coordinates.y_scale,h=_.invert(c),u=p.invert(a),y=e.glyph,f=[];for(const s of i.line_indices){let o,n,r=y._x[s+1],d=y._y[s+1],m=s;switch(this.model.line_policy){case\"interp\":[r,d]=y.get_interpolation_hit(s,t),o=_.compute(r),n=p.compute(d);break;case\"prev\":[[o,n],m]=g(y.sx,y.sy,s);break;case\"next\":[[o,n],m]=g(y.sx,y.sy,s+1);break;case\"nearest\":[[o,n],m]=w(s,t,c,a,y.sx,y.sy),r=y._x[m],d=y._y[m];break;default:[o,n]=[c,a]}const x={index:m,x:h,y:u,sx:c,sy:a,data_x:r,data_y:d,rx:o,ry:n,indices:i.line_indices,name:e.model.name};f.push([o,n,this._render_tooltips(l,m,x)])}for(const t of i.image_indices){const s={index:t.index,x:h,y:u,sx:c,sy:a,name:e.model.name},o=this._render_tooltips(l,t,s);f.push([c,a,o])}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,n=null!=y._y?y._y[o]:void 0;let _,d,p;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,a]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,a])),_=e.x,d=e.y}else[_,d]=[c,a];p=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const m={index:p,x:h,y:u,sx:c,sy:a,data_x:t,data_y:n,indices:i.indices,name:e.model.name};f.push([_,d,this._render_tooltips(l,p,m)])}else for(const n of i.multiline_indices[o.toString()]){let d,m,x,v=y._xs[o][n],b=y._ys[o][n],k=n;switch(this.model.line_policy){case\"interp\":[v,b]=y.get_interpolation_hit(o,n,t),d=_.compute(v),m=p.compute(b);break;case\"prev\":[[d,m],k]=g(y.sxs[o],y.sys[o],n);break;case\"next\":[[d,m],k]=g(y.sxs[o],y.sys[o],n+1);break;case\"nearest\":[[d,m],k]=w(n,t,c,a,y.sxs[o],y.sys[o]),v=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}x=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const A={index:x,x:h,y:u,sx:c,sy:a,data_x:v,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};f.push([d,m,this._render_tooltips(l,x,A)])}if(0==f.length)o.clear();else{const{content:e}=o;d.empty(o.content);for(const[,,t]of f)e.appendChild(t);const[t,s]=f[f.length-1];o.setv({position:[t,s]},{check_eq:!1})}}_emit_callback(e){for(const t of this.computed_renderers){const s=this.plot_view.renderer_views.get(t),o=s.coordinates.x_scale.invert(e.sx),n=s.coordinates.y_scale.invert(e.sy),i=t.data_source.inspected,r=Object.assign({x:o,y:n},e);this.model.callback.execute(this.model,{index:i,geometry:r,renderer:t})}}_create_template(e){const t=d.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[s]of e){const e=d.div({style:{display:\"table-row\"}});t.appendChild(e);const o=d.div({style:{display:\"table-cell\"},class:v.bk_tooltip_row_label},0!=s.length?s+\": \":\"\");e.appendChild(o);const n=d.span();n.dataset.value=\"\";const i=d.span({class:v.bk_tooltip_color_block},\" \");i.dataset.swatch=\"\",d.undisplay(i);const r=d.div({style:{display:\"table-cell\"},class:v.bk_tooltip_row_value},n,i);e.appendChild(r)}return t}_render_template(e,t,s,o,n){const i=e.cloneNode(!0),r=i.querySelectorAll(\"[data-value]\"),l=i.querySelectorAll(\"[data-swatch]\"),c=/\\$color(\\[.*\\])?:(\\w*)/;for(const[[,e],i]of u.enumerate(t)){const t=e.match(c);if(null!=t){const[,e=\"\",n]=t,c=s.get_column(n);if(null==c){r[i].textContent=n+\" unknown\";continue}const a=e.indexOf(\"hex\")>=0,_=e.indexOf(\"swatch\")>=0;let p=y.isNumber(o)?c[o]:null;if(null==p){r[i].textContent=\"(null)\";continue}a&&(p=h.color2hex(p)),r[i].textContent=p,_&&(l[i].style.backgroundColor=p,d.display(l[i]))}else{const t=_.replace_placeholders(e.replace(\"$~\",\"$data_\"),s,o,this.model.formatters,n);if(y.isString(t))r[i].textContent=t;else for(const e of t)r[i].appendChild(e)}}return i}_render_tooltips(e,t,s){const o=this.model.tooltips;if(y.isString(o)){const n=_.replace_placeholders({html:o},e,t,this.model.formatters,s);return d.div({},n)}return y.isFunction(o)?o(e,s):this._render_template(this._template_el,o,e,t,s)}}s.HoverToolView=b,b.__name__=\"HoverToolView\";class k extends n.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=b,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new k)}}s.HoverTool=k,k.__name__=\"HoverTool\",k.init_HoverTool()},\n      function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(15),s=t(81),l=t(295),c=t(303);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n      function _(o,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=o(1).__importStar(o(18)),e=o(9),n=o(13),r=o(305),l=o(379),c=o(272),h=o(212);class a extends r.ToolbarBase{constructor(o){super(o)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const o={},t={},s={},i=[],r=[];for(const o of this.help)e.includes(r,o.redirect)||(i.push(o),r.push(o.redirect));this._proxied_tools.push(...i),this.help=i;for(const[o,t]of n.entries(this.gestures)){o in s||(s[o]={});for(const i of t.tools)i.type in s[o]||(s[o][i.type]=[]),s[o][i.type].push(i)}for(const t of this.inspectors)t.type in o||(o[t.type]=[]),o[t.type].push(t);for(const o of this.actions)o.type in t||(t[o.type]=[]),t[o.type].push(o);const c=(o,t=!1)=>{const s=new l.ToolProxy({tools:o,active:t});return this._proxied_tools.push(s),s};for(const o of n.keys(s)){const t=this.gestures[o];t.tools=[];for(const i of n.keys(s[o])){const e=s[o][i];if(e.length>0)if(\"multi\"==o)for(const o of e){const s=c([o]);t.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const o=c(e);t.tools.push(o),this.connect(o.properties.active.change,()=>this._active_change(o))}}}this.actions=[];for(const[o,s]of n.entries(t))if(\"CustomAction\"==o)for(const o of s)this.actions.push(c([o]));else s.length>0&&this.actions.push(c(s));this.inspectors=[];for(const t of n.values(o))t.length>0&&this.inspectors.push(c(t,!0));for(const[o,t]of n.entries(this.gestures))0!=t.tools.length&&(t.tools=e.sort_by(t.tools,o=>o.default_order),\"pinch\"!=o&&\"scroll\"!=o&&\"multi\"!=o&&(t.tools[0].active=!0))}}s.ProxyToolbar=a,a.__name__=\"ProxyToolbar\",a.init_ProxyToolbar();class _ extends c.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new h.ContentBox(this.child_views[0].el);const{toolbar:o}=this.model;o.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=_,_.__name__=\"ToolbarBoxView\";class p extends c.LayoutDOM{constructor(o){super(o)}static init_ToolbarBox(){this.prototype.default_view=_,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=p,p.__name__=\"ToolbarBox\",p.init_ToolbarBox()},\n      function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(78),d=e(115),c=e(72),l=e(382);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n      function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),r=e(273);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under <body>`);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n      function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(384),s=n(19),c=n(381);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n      function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(19),o=e(5),r=e(385),i=e(386),c=e(387);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(\"Error reply \"+s.content.text);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n      function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(29);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n      function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(385),r=e(8);class i{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(!r.isString(e))throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=i,i.__name__=\"Receiver\"},\n      function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(385),c=e(19);class i{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):c.logger.debug(\"Doing nothing with message \"+e.msgtype())}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof o.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),c=s.Message.create(\"PATCH-DOC\",{},n);this._connection.send(c)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){c.logger.trace(\"Unhandled OK reply to \"+e.reqid())}_handle_error(e){c.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=i,i.__name__=\"ClientSession\"},\n      function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1);var r=this&&this.__asyncValues||function(e){if(!Symbol.asyncIterator)throw new TypeError(\"Symbol.asyncIterator is not defined.\");var o,t=e[Symbol.asyncIterator];return t?t.call(e):(e=\"function\"==typeof __values?__values(e):e[Symbol.iterator](),o={},n(\"next\"),n(\"throw\"),n(\"return\"),o[Symbol.asyncIterator]=function(){return this},o);function n(t){o[t]=e[t]&&function(o){return 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n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n      407: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(81),n=e(78);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n      408: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(409),h=e(72),_=i.__importStar(e(18)),o=e(10),u=e(173),r=e(282),c=i.__importDefault(e(284));class l extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t<this.menu.children.length&&this.menu.children[t].textContent!=e.target.textContent;t++);this._bump_hover(t)}}_bump_hover(e){const t=this.menu.children.length;this._open&&t>0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.length<this.model.min_characters)return void this._hide_menu();const t=[],{case_sensitive:n}=this.model;let i;i=n?e=>e:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n      409: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(410),l=e(72),p=n.__importStar(e(18)),u=e(412);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n      410: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(405),s=t(72),_=n.__importStar(t(18)),o=n.__importDefault(t(411)),r=t(412);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n      411: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n  display: inline-block;\\n  width: 100%;\\n  flex-grow: 1;\\n  -webkit-flex-grow: 1;\\n  min-height: 31px;\\n  padding: 0 12px;\\n  background-color: #fff;\\n  border: 1px solid #ccc;\\n  border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n  border-color: #66afe9;\\n  outline: 0;\\n  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n  color: #999;\\n  opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n  cursor: not-allowed;\\n  background-color: #eee;\\n  opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n  height: auto;\\n  appearance: none;\\n  -webkit-appearance: none;\\n  background-image: url(\\'data:image/svg+xml;utf8,<svg version=\"1.1\" viewBox=\"0 0 25 20\" xmlns=\"http://www.w3.org/2000/svg\"><path d=\"M 0,0 25,0 12.5,20 Z\" fill=\"black\" /></svg>\\');\\n  background-position: right 0.5em center;\\n  background-size: 8px 6px;\\n  background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n  height: auto;\\n}\\n.bk-root .bk-input-group {\\n  width: 100%;\\n  height: 100%;\\n  display: inline-flex;\\n  display: -webkit-inline-flex;\\n  flex-wrap: nowrap;\\n  -webkit-flex-wrap: nowrap;\\n  align-items: start;\\n  -webkit-align-items: start;\\n  flex-direction: column;\\n  -webkit-flex-direction: column;\\n  white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n  flex-direction: row;\\n  -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n  margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n  position: relative;\\n  top: -2px;\\n  margin-left: 3px;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper {\\n  display: inherit;\\n  width: inherit;\\n  height: inherit;\\n  position: relative;\\n  overflow: hidden;\\n  padding: 0;\\n  vertical-align: middle;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper input {\\n  padding-right: 20px;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn {\\n  position: absolute;\\n  display: block;\\n  height: 50%;\\n  min-height: 0;\\n  min-width: 0;\\n  width: 30px;\\n  padding: 0;\\n  margin: 0;\\n  right: 0;\\n  border: none;\\n  background: none;\\n  cursor: pointer;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn:before {\\n  content: \"\";\\n  display: inline-block;\\n  transform: translateY(-50%);\\n  border-left: 5px solid transparent;\\n  border-right: 5px solid transparent;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up {\\n  top: 0;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:before {\\n  border-bottom: 5px solid black;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-up:disabled:before {\\n  border-bottom-color: grey;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down {\\n  bottom: 0;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:before {\\n  border-top: 5px solid black;\\n}\\n.bk-root .bk-input-group > .bk-spin-wrapper > .bk-spin-btn.bk-spin-btn-down:disabled:before {\\n  border-top-color: grey;\\n}\\n'},\n      412: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n      413: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=t(404),i=t(313);class s extends o.AbstractButtonView{click(){this.model.trigger_event(new i.ButtonClick),super.click()}}n.ButtonView=s,s.__name__=\"ButtonView\";class u extends o.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}n.Button=u,u.__name__=\"Button\",u.init_Button()},\n      414: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(415),s=t(72),n=i.__importStar(t(18)),a=t(173);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n      415: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(405),i=t(72),r=n.__importStar(t(18)),_=t(281),u=n.__importDefault(t(283));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n      416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(417),o=e(72),c=e(9),a=n.__importStar(e(18)),l=e(173),d=e(412);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;n<i.length;n++){const s=o.input({type:\"checkbox\",value:\"\"+n});s.addEventListener(\"change\",()=>this.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n      417: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(405),r=s.__importDefault(e(411));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n      418: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(410),s=e(72),l=n.__importStar(e(18)),r=e(412);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n      419: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(420)),a=e(410),l=e(72),o=n.__importStar(e(18)),r=e(8),d=e(412),c=n.__importDefault(e(421));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n      420: function _(e,t,n){\n      /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n      /*! *****************************************************************************\n              Copyright (c) Microsoft Corporation. All rights reserved.\n              Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n              this file except in compliance with the License. You may obtain a copy of the\n              License at http://www.apache.org/licenses/LICENSE-2.0\n          \n              THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n              KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n              WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n              MERCHANTABLITY OR NON-INFRINGEMENT.\n          \n              See the Apache Version 2.0 License for specific language governing permissions\n              and limitations under the License.\n              ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n<a;n++)for(var i in t=arguments[n])Object.prototype.hasOwnProperty.call(t,i)&&(e[i]=t[i]);return 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n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var 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0!==n&&r.getTime()===n.getTime())return a;if(\"string\"==typeof r&&void 0!==n){var l=h.parseDate(r,void 0,!0);return l&&l.getTime()===n.getTime()?a:!a}if(\"object\"==typeof r&&void 0!==n&&r.from&&r.to&&n.getTime()>=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;c<i;c+=b)Z(new Date(c),!0)||(o=o||c>a&&c<i,c<n&&(!r||c>r)?r=c:c>n&&(!l||c<l)&&(l=c));for(var d=0;d<h.config.showMonths;d++)for(var s=h.daysContainer.children[d],u=function(a,i){var c,d,u,f=s.children[a],m=f.dateObj.getTime(),g=r>0&&m<r||l>0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),n<t&&m===n?f.classList.add(\"startRange\"):n>t&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c<Math.max(d,u))&&f.classList.add(\"inRange\"))))},f=0,m=s.children.length;f<m;f++)u(f)}}function te(){!h.isOpen||h.config.static||h.config.inline||oe()}function ne(){h.setDate(void 0!==h.config.minDate?new Date(h.config.minDate.getTime()):new Date,!0),k(),ve()}function ae(e){return function(t){var n=h.config[\"_\"+e+\"Date\"]=h.parseDate(t,h.config.dateFormat),a=h.config[\"_\"+(\"min\"===e?\"max\":\"min\")+\"Date\"];void 0!==n&&(h[\"min\"===e?\"minDateHasTime\":\"maxDateHasTime\"]=n.getHours()>0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&d<n&&l.top>n,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()<h.currentMonth||a.getMonth()>h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete 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0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a<n.length;a++)n[a](h.selectedDates,h.input.value,h,t);\"onChange\"===e&&(h.input.dispatchEvent(me(\"change\")),h.input.dispatchEvent(me(\"input\")))}}function me(e){var t=document.createEvent(\"Event\");return t.initEvent(e,!0,!0),t}function ge(e){for(var t=0;t<h.selectedDates.length;t++)if(0===w(h.selectedDates[t],e))return\"\"+t;return!1}function pe(){h.config.noCalendar||h.isMobile||!h.monthNav||(h.yearElements.forEach((function(e,t){var n=new Date(h.currentYear,h.currentMonth,1);n.setMonth(h.currentMonth+t),h.config.showMonths>1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYear<h.config.minDate.getFullYear()),h._hideNextMonthArrow=void 0!==h.config.maxDate&&(h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth+1>h.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var 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z-index: 3;\\n  color: rgba(0, 0, 0, 0.9);\\n  fill: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #959ea9;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(57, 57, 57, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(57, 57, 57, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(0, 0, 0, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: rgba(0, 0, 0, 0.9);\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(0, 0, 0, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: transparent;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: transparent;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: transparent;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: transparent;\\n  color: rgba(0, 0, 0, 0.54);\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #e6e6e6;\\n  box-shadow: -1px 0 0 #e6e6e6;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #393939;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e6e6e6;\\n  border-color: #e6e6e6;\\n}\\n.flatpickr-day.today {\\n  border-color: #959ea9;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #959ea9;\\n  background: #959ea9;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #569ff7;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #569ff7;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #569ff7;\\n  box-shadow: -10px 0 0 #569ff7;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -5px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(57, 57, 57, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n  box-shadow: -5px 0 0 #569ff7, 5px 0 0 #569ff7;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  -webkit-box-shadow: 1px 0 0 #e6e6e6;\\n  box-shadow: 1px 0 0 #e6e6e6;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(57, 57, 57, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #393939;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #393939;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #393939;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #393939;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eee;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n.flatpickr-calendar {\\n  background: transparent;\\n  opacity: 0;\\n  display: none;\\n  text-align: center;\\n  visibility: hidden;\\n  padding: 0;\\n  -webkit-animation: none;\\n  animation: none;\\n  direction: ltr;\\n  border: 0;\\n  font-size: 14px;\\n  line-height: 24px;\\n  border-radius: 5px;\\n  position: absolute;\\n  width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -ms-touch-action: manipulation;\\n  touch-action: manipulation;\\n  -webkit-box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n  box-shadow: 0 3px 13px rgba(0, 0, 0, 0.08);\\n}\\n.flatpickr-calendar.open,\\n.flatpickr-calendar.inline {\\n  opacity: 1;\\n  max-height: 640px;\\n  visibility: visible;\\n}\\n.flatpickr-calendar.open {\\n  display: inline-block;\\n  z-index: 99999;\\n}\\n.flatpickr-calendar.animate.open {\\n  -webkit-animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n  animation: fpFadeInDown 300ms cubic-bezier(0.23, 1, 0.32, 1);\\n}\\n.flatpickr-calendar.inline {\\n  display: block;\\n  position: relative;\\n  top: 2px;\\n}\\n.flatpickr-calendar.static {\\n  position: absolute;\\n  top: calc(100% + 2px);\\n}\\n.flatpickr-calendar.static.open {\\n  z-index: 999;\\n  display: block;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+1) .flatpickr-day.inRange:nth-child(7n+7) {\\n  -webkit-box-shadow: none !important;\\n  box-shadow: none !important;\\n}\\n.flatpickr-calendar.multiMonth .flatpickr-days .dayContainer:nth-child(n+2) .flatpickr-day.inRange:nth-child(7n+1) {\\n  -webkit-box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n  box-shadow: -2px 0 0 #e6e6e6, 5px 0 0 #e6e6e6;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer,\\n.flatpickr-calendar .hasTime .dayContainer {\\n  border-bottom: 0;\\n  border-bottom-right-radius: 0;\\n  border-bottom-left-radius: 0;\\n}\\n.flatpickr-calendar .hasWeeks .dayContainer {\\n  border-left: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  height: 40px;\\n  border-top: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-innerContainer {\\n  border-bottom: 0;\\n}\\n.flatpickr-calendar.showTimeInput.hasTime .flatpickr-time {\\n  border: 1px solid #eceef1;\\n}\\n.flatpickr-calendar.noCalendar.hasTime .flatpickr-time {\\n  height: auto;\\n}\\n.flatpickr-calendar:before,\\n.flatpickr-calendar:after {\\n  position: absolute;\\n  display: block;\\n  pointer-events: none;\\n  border: solid transparent;\\n  content: \\'\\';\\n  height: 0;\\n  width: 0;\\n  left: 22px;\\n}\\n.flatpickr-calendar.rightMost:before,\\n.flatpickr-calendar.rightMost:after {\\n  left: auto;\\n  right: 22px;\\n}\\n.flatpickr-calendar:before {\\n  border-width: 5px;\\n  margin: 0 -5px;\\n}\\n.flatpickr-calendar:after {\\n  border-width: 4px;\\n  margin: 0 -4px;\\n}\\n.flatpickr-calendar.arrowTop:before,\\n.flatpickr-calendar.arrowTop:after {\\n  bottom: 100%;\\n}\\n.flatpickr-calendar.arrowTop:before {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowTop:after {\\n  border-bottom-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:before,\\n.flatpickr-calendar.arrowBottom:after {\\n  top: 100%;\\n}\\n.flatpickr-calendar.arrowBottom:before {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar.arrowBottom:after {\\n  border-top-color: #eceef1;\\n}\\n.flatpickr-calendar:focus {\\n  outline: 0;\\n}\\n.flatpickr-wrapper {\\n  position: relative;\\n  display: inline-block;\\n}\\n.flatpickr-months {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n}\\n.flatpickr-months .flatpickr-month {\\n  border-radius: 5px 5px 0 0;\\n  background: #eceef1;\\n  color: #5a6171;\\n  fill: #5a6171;\\n  height: 34px;\\n  line-height: 1;\\n  text-align: center;\\n  position: relative;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  overflow: hidden;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\n.flatpickr-months .flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month {\\n  text-decoration: none;\\n  cursor: pointer;\\n  position: absolute;\\n  top: 0;\\n  height: 34px;\\n  padding: 10px;\\n  z-index: 3;\\n  color: #5a6171;\\n  fill: #5a6171;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-disabled,\\n.flatpickr-months .flatpickr-next-month.flatpickr-disabled {\\n  display: none;\\n}\\n.flatpickr-months .flatpickr-prev-month i,\\n.flatpickr-months .flatpickr-next-month i {\\n  position: relative;\\n}\\n.flatpickr-months .flatpickr-prev-month.flatpickr-prev-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-prev-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  left: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month.flatpickr-next-month,\\n.flatpickr-months .flatpickr-next-month.flatpickr-next-month {\\n  /*\\n      /*rtl:begin:ignore*/\\n  /*\\n      */\\n  right: 0;\\n  /*\\n      /*rtl:end:ignore*/\\n  /*\\n      */\\n}\\n/*\\n      /*rtl:begin:ignore*/\\n/*\\n      /*rtl:end:ignore*/\\n.flatpickr-months .flatpickr-prev-month:hover,\\n.flatpickr-months .flatpickr-next-month:hover {\\n  color: #bbb;\\n}\\n.flatpickr-months .flatpickr-prev-month:hover svg,\\n.flatpickr-months .flatpickr-next-month:hover svg {\\n  fill: #f64747;\\n}\\n.flatpickr-months .flatpickr-prev-month svg,\\n.flatpickr-months .flatpickr-next-month svg {\\n  width: 14px;\\n  height: 14px;\\n}\\n.flatpickr-months .flatpickr-prev-month svg path,\\n.flatpickr-months .flatpickr-next-month svg path {\\n  -webkit-transition: fill 0.1s;\\n  transition: fill 0.1s;\\n  fill: inherit;\\n}\\n.numInputWrapper {\\n  position: relative;\\n  height: auto;\\n}\\n.numInputWrapper input,\\n.numInputWrapper span {\\n  display: inline-block;\\n}\\n.numInputWrapper input {\\n  width: 100%;\\n}\\n.numInputWrapper input::-ms-clear {\\n  display: none;\\n}\\n.numInputWrapper input::-webkit-outer-spin-button,\\n.numInputWrapper input::-webkit-inner-spin-button {\\n  margin: 0;\\n  -webkit-appearance: none;\\n}\\n.numInputWrapper span {\\n  position: absolute;\\n  right: 0;\\n  width: 14px;\\n  padding: 0 4px 0 2px;\\n  height: 50%;\\n  line-height: 50%;\\n  opacity: 0;\\n  cursor: pointer;\\n  border: 1px solid rgba(72, 72, 72, 0.15);\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.numInputWrapper span:hover {\\n  background: rgba(0, 0, 0, 0.1);\\n}\\n.numInputWrapper span:active {\\n  background: rgba(0, 0, 0, 0.2);\\n}\\n.numInputWrapper span:after {\\n  display: block;\\n  content: \"\";\\n  position: absolute;\\n}\\n.numInputWrapper span.arrowUp {\\n  top: 0;\\n  border-bottom: 0;\\n}\\n.numInputWrapper span.arrowUp:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-bottom: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 26%;\\n}\\n.numInputWrapper span.arrowDown {\\n  top: 50%;\\n}\\n.numInputWrapper span.arrowDown:after {\\n  border-left: 4px solid transparent;\\n  border-right: 4px solid transparent;\\n  border-top: 4px solid rgba(72, 72, 72, 0.6);\\n  top: 40%;\\n}\\n.numInputWrapper span svg {\\n  width: inherit;\\n  height: auto;\\n}\\n.numInputWrapper span svg path {\\n  fill: rgba(90, 97, 113, 0.5);\\n}\\n.numInputWrapper:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.numInputWrapper:hover span {\\n  opacity: 1;\\n}\\n.flatpickr-current-month {\\n  font-size: 135%;\\n  line-height: inherit;\\n  font-weight: 300;\\n  color: inherit;\\n  position: absolute;\\n  width: 75%;\\n  left: 12.5%;\\n  padding: 7.48px 0 0 0;\\n  line-height: 1;\\n  height: 34px;\\n  display: inline-block;\\n  text-align: center;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n}\\n.flatpickr-current-month span.cur-month {\\n  font-family: inherit;\\n  font-weight: 700;\\n  color: inherit;\\n  display: inline-block;\\n  margin-left: 0.5ch;\\n  padding: 0;\\n}\\n.flatpickr-current-month span.cur-month:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .numInputWrapper {\\n  width: 6ch;\\n  width: 7ch\\0;\\n  display: inline-block;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #5a6171;\\n}\\n.flatpickr-current-month .numInputWrapper span.arrowDown:after {\\n  border-top-color: #5a6171;\\n}\\n.flatpickr-current-month input.cur-year {\\n  background: transparent;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: text;\\n  padding: 0 0 0 0.5ch;\\n  margin: 0;\\n  display: inline-block;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  line-height: inherit;\\n  height: auto;\\n  border: 0;\\n  border-radius: 0;\\n  vertical-align: initial;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-current-month input.cur-year:focus {\\n  outline: 0;\\n}\\n.flatpickr-current-month input.cur-year[disabled],\\n.flatpickr-current-month input.cur-year[disabled]:hover {\\n  font-size: 100%;\\n  color: rgba(90, 97, 113, 0.5);\\n  background: transparent;\\n  pointer-events: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months {\\n  appearance: menulist;\\n  background: #eceef1;\\n  border: none;\\n  border-radius: 0;\\n  box-sizing: border-box;\\n  color: inherit;\\n  cursor: pointer;\\n  font-size: inherit;\\n  font-family: inherit;\\n  font-weight: 300;\\n  height: auto;\\n  line-height: inherit;\\n  margin: -1px 0 0 0;\\n  outline: none;\\n  padding: 0 0 0 0.5ch;\\n  position: relative;\\n  vertical-align: initial;\\n  -webkit-box-sizing: border-box;\\n  -webkit-appearance: menulist;\\n  -moz-appearance: menulist;\\n  width: auto;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:focus,\\n.flatpickr-current-month .flatpickr-monthDropdown-months:active {\\n  outline: none;\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months:hover {\\n  background: rgba(0, 0, 0, 0.05);\\n}\\n.flatpickr-current-month .flatpickr-monthDropdown-months .flatpickr-monthDropdown-month {\\n  background-color: #eceef1;\\n  outline: none;\\n  padding: 0;\\n}\\n.flatpickr-weekdays {\\n  background: #eceef1;\\n  text-align: center;\\n  overflow: hidden;\\n  width: 100%;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: center;\\n  -webkit-align-items: center;\\n  -ms-flex-align: center;\\n  align-items: center;\\n  height: 28px;\\n}\\n.flatpickr-weekdays .flatpickr-weekdaycontainer {\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n}\\nspan.flatpickr-weekday {\\n  cursor: default;\\n  font-size: 90%;\\n  background: #eceef1;\\n  color: #5a6171;\\n  line-height: 1;\\n  margin: 0;\\n  text-align: center;\\n  display: block;\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  font-weight: bolder;\\n}\\n.dayContainer,\\n.flatpickr-weeks {\\n  padding: 1px 0 0 0;\\n}\\n.flatpickr-days {\\n  position: relative;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-align: start;\\n  -webkit-align-items: flex-start;\\n  -ms-flex-align: start;\\n  align-items: flex-start;\\n  width: 307.875px;\\n  border-left: 1px solid #eceef1;\\n  border-right: 1px solid #eceef1;\\n}\\n.flatpickr-days:focus {\\n  outline: 0;\\n}\\n.dayContainer {\\n  padding: 0;\\n  outline: 0;\\n  text-align: left;\\n  width: 307.875px;\\n  min-width: 307.875px;\\n  max-width: 307.875px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  display: inline-block;\\n  display: -ms-flexbox;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: flex;\\n  -webkit-flex-wrap: wrap;\\n  flex-wrap: wrap;\\n  -ms-flex-wrap: wrap;\\n  -ms-flex-pack: justify;\\n  -webkit-justify-content: space-around;\\n  justify-content: space-around;\\n  -webkit-transform: translate3d(0px, 0px, 0px);\\n  transform: translate3d(0px, 0px, 0px);\\n  opacity: 1;\\n}\\n.dayContainer + .dayContainer {\\n  -webkit-box-shadow: -1px 0 0 #eceef1;\\n  box-shadow: -1px 0 0 #eceef1;\\n}\\n.flatpickr-day {\\n  background: none;\\n  border: 1px solid transparent;\\n  border-radius: 150px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  color: #484848;\\n  cursor: pointer;\\n  font-weight: 400;\\n  width: 14.2857143%;\\n  -webkit-flex-basis: 14.2857143%;\\n  -ms-flex-preferred-size: 14.2857143%;\\n  flex-basis: 14.2857143%;\\n  max-width: 39px;\\n  height: 39px;\\n  line-height: 39px;\\n  margin: 0;\\n  display: inline-block;\\n  position: relative;\\n  -webkit-box-pack: center;\\n  -webkit-justify-content: center;\\n  -ms-flex-pack: center;\\n  justify-content: center;\\n  text-align: center;\\n}\\n.flatpickr-day.inRange,\\n.flatpickr-day.prevMonthDay.inRange,\\n.flatpickr-day.nextMonthDay.inRange,\\n.flatpickr-day.today.inRange,\\n.flatpickr-day.prevMonthDay.today.inRange,\\n.flatpickr-day.nextMonthDay.today.inRange,\\n.flatpickr-day:hover,\\n.flatpickr-day.prevMonthDay:hover,\\n.flatpickr-day.nextMonthDay:hover,\\n.flatpickr-day:focus,\\n.flatpickr-day.prevMonthDay:focus,\\n.flatpickr-day.nextMonthDay:focus {\\n  cursor: pointer;\\n  outline: 0;\\n  background: #e2e2e2;\\n  border-color: #e2e2e2;\\n}\\n.flatpickr-day.today {\\n  border-color: #bbb;\\n}\\n.flatpickr-day.today:hover,\\n.flatpickr-day.today:focus {\\n  border-color: #bbb;\\n  background: #bbb;\\n  color: #fff;\\n}\\n.flatpickr-day.selected,\\n.flatpickr-day.startRange,\\n.flatpickr-day.endRange,\\n.flatpickr-day.selected.inRange,\\n.flatpickr-day.startRange.inRange,\\n.flatpickr-day.endRange.inRange,\\n.flatpickr-day.selected:focus,\\n.flatpickr-day.startRange:focus,\\n.flatpickr-day.endRange:focus,\\n.flatpickr-day.selected:hover,\\n.flatpickr-day.startRange:hover,\\n.flatpickr-day.endRange:hover,\\n.flatpickr-day.selected.prevMonthDay,\\n.flatpickr-day.startRange.prevMonthDay,\\n.flatpickr-day.endRange.prevMonthDay,\\n.flatpickr-day.selected.nextMonthDay,\\n.flatpickr-day.startRange.nextMonthDay,\\n.flatpickr-day.endRange.nextMonthDay {\\n  background: #ff5a5f;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  color: #fff;\\n  border-color: #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange,\\n.flatpickr-day.startRange.startRange,\\n.flatpickr-day.endRange.startRange {\\n  border-radius: 50px 0 0 50px;\\n}\\n.flatpickr-day.selected.endRange,\\n.flatpickr-day.startRange.endRange,\\n.flatpickr-day.endRange.endRange {\\n  border-radius: 0 50px 50px 0;\\n}\\n.flatpickr-day.selected.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.startRange.startRange + .endRange:not(:nth-child(7n+1)),\\n.flatpickr-day.endRange.startRange + .endRange:not(:nth-child(7n+1)) {\\n  -webkit-box-shadow: -10px 0 0 #ff5a5f;\\n  box-shadow: -10px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.selected.startRange.endRange,\\n.flatpickr-day.startRange.startRange.endRange,\\n.flatpickr-day.endRange.startRange.endRange {\\n  border-radius: 50px;\\n}\\n.flatpickr-day.inRange {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n  box-shadow: -5px 0 0 #e2e2e2, 5px 0 0 #e2e2e2;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover,\\n.flatpickr-day.prevMonthDay,\\n.flatpickr-day.nextMonthDay,\\n.flatpickr-day.notAllowed,\\n.flatpickr-day.notAllowed.prevMonthDay,\\n.flatpickr-day.notAllowed.nextMonthDay {\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  border-color: transparent;\\n  cursor: default;\\n}\\n.flatpickr-day.flatpickr-disabled,\\n.flatpickr-day.flatpickr-disabled:hover {\\n  cursor: not-allowed;\\n  color: rgba(72, 72, 72, 0.1);\\n}\\n.flatpickr-day.week.selected {\\n  border-radius: 0;\\n  -webkit-box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n  box-shadow: -5px 0 0 #ff5a5f, 5px 0 0 #ff5a5f;\\n}\\n.flatpickr-day.hidden {\\n  visibility: hidden;\\n}\\n.rangeMode .flatpickr-day {\\n  margin-top: 1px;\\n}\\n.flatpickr-weekwrapper {\\n  float: left;\\n}\\n.flatpickr-weekwrapper .flatpickr-weeks {\\n  padding: 0 12px;\\n  border-left: 1px solid #eceef1;\\n}\\n.flatpickr-weekwrapper .flatpickr-weekday {\\n  float: none;\\n  width: 100%;\\n  line-height: 28px;\\n}\\n.flatpickr-weekwrapper span.flatpickr-day,\\n.flatpickr-weekwrapper span.flatpickr-day:hover {\\n  display: block;\\n  width: 100%;\\n  max-width: none;\\n  color: rgba(72, 72, 72, 0.3);\\n  background: transparent;\\n  cursor: default;\\n  border: none;\\n}\\n.flatpickr-innerContainer {\\n  display: block;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  background: #fff;\\n  border-bottom: 1px solid #eceef1;\\n}\\n.flatpickr-rContainer {\\n  display: inline-block;\\n  padding: 0;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.flatpickr-time {\\n  text-align: center;\\n  outline: 0;\\n  display: block;\\n  height: 0;\\n  line-height: 40px;\\n  max-height: 40px;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  overflow: hidden;\\n  display: -webkit-box;\\n  display: -webkit-flex;\\n  display: -ms-flexbox;\\n  display: flex;\\n  background: #fff;\\n  border-radius: 0 0 5px 5px;\\n}\\n.flatpickr-time:after {\\n  content: \"\";\\n  display: table;\\n  clear: both;\\n}\\n.flatpickr-time .numInputWrapper {\\n  -webkit-box-flex: 1;\\n  -webkit-flex: 1;\\n  -ms-flex: 1;\\n  flex: 1;\\n  width: 40%;\\n  height: 40px;\\n  float: left;\\n}\\n.flatpickr-time .numInputWrapper span.arrowUp:after {\\n  border-bottom-color: #484848;\\n}\\n.flatpickr-time .numInputWrapper span.arrowDown:after {\\n  border-top-color: #484848;\\n}\\n.flatpickr-time.hasSeconds .numInputWrapper {\\n  width: 26%;\\n}\\n.flatpickr-time.time24hr .numInputWrapper {\\n  width: 49%;\\n}\\n.flatpickr-time input {\\n  background: transparent;\\n  -webkit-box-shadow: none;\\n  box-shadow: none;\\n  border: 0;\\n  border-radius: 0;\\n  text-align: center;\\n  margin: 0;\\n  padding: 0;\\n  height: inherit;\\n  line-height: inherit;\\n  color: #484848;\\n  font-size: 14px;\\n  position: relative;\\n  -webkit-box-sizing: border-box;\\n  box-sizing: border-box;\\n  -webkit-appearance: textfield;\\n  -moz-appearance: textfield;\\n  appearance: textfield;\\n}\\n.flatpickr-time input.flatpickr-hour {\\n  font-weight: bold;\\n}\\n.flatpickr-time input.flatpickr-minute,\\n.flatpickr-time input.flatpickr-second {\\n  font-weight: 400;\\n}\\n.flatpickr-time input:focus {\\n  outline: 0;\\n  border: 0;\\n}\\n.flatpickr-time .flatpickr-time-separator,\\n.flatpickr-time .flatpickr-am-pm {\\n  height: inherit;\\n  float: left;\\n  line-height: inherit;\\n  color: #484848;\\n  font-weight: bold;\\n  width: 2%;\\n  -webkit-user-select: none;\\n  -moz-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  -webkit-align-self: center;\\n  -ms-flex-item-align: center;\\n  align-self: center;\\n}\\n.flatpickr-time .flatpickr-am-pm {\\n  outline: 0;\\n  width: 18%;\\n  cursor: pointer;\\n  text-align: center;\\n  font-weight: 400;\\n}\\n.flatpickr-time input:hover,\\n.flatpickr-time .flatpickr-am-pm:hover,\\n.flatpickr-time input:focus,\\n.flatpickr-time .flatpickr-am-pm:focus {\\n  background: #eaeaea;\\n}\\n.flatpickr-input[readonly] {\\n  cursor: pointer;\\n}\\n@-webkit-keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\n@keyframes fpFadeInDown {\\n  from {\\n    opacity: 0;\\n    -webkit-transform: translate3d(0, -20px, 0);\\n    transform: translate3d(0, -20px, 0);\\n  }\\n  to {\\n    opacity: 1;\\n    -webkit-transform: translate3d(0, 0, 0);\\n    transform: translate3d(0, 0, 0);\\n  }\\n}\\nspan.flatpickr-day.selected {\\n  font-weight: bold;\\n}\\n'},\n      422: function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(1).__importDefault(e(186)),r=e(423);class n extends r.AbstractRangeSliderView{}a.DateRangeSliderView=n,n.__name__=\"DateRangeSliderView\";class d extends r.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_DateRangeSlider(){this.prototype.default_view=n,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return i.default(e,t)}}a.DateRangeSlider=d,d.__name__=\"DateRangeSlider\",d.init_DateRangeSlider()},\n      423: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=s.__importStar(t(424)),r=t(72),o=t(9),n=t(405),a=t(131),d=t(425),_=t(412),h=s.__importDefault(t(426)),c=s.__importDefault(t(427));class u extends n.ControlView{*controls(){yield this.slider_el}get noUiSlider(){return this.slider_el.noUiSlider}connect_signals(){super.connect_signals();const{direction:t,orientation:e,tooltips:i}=this.model.properties;this.on_change([t,e,i],()=>this.render());const{start:s,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([s,l,r,o],()=>{const{start:t,end:e,value:i,step:s}=this._calc_to();this.noUiSlider.updateOptions({range:{min:t,max:e},start:i,step:s})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),h.default,c.default]}_update_title(){r.empty(this.title_el);const t=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=t?\"none\":\"\",!t&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:t}=this._calc_to(),e=t.map(t=>this.model.pretty(t)).join(\" .. 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this.noUiSlider.updateOptions({range:{min:t,max:e},start:i,step:s});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=r.div({class:d.bk_slider_title}),this._update_title(),this.group_el=r.div({class:_.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(t){this.model.value=this._calc_from(t)}_change(t){this.model.value=this._calc_from(t),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([t]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(t):t}}i.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(t){return t}}i.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends n.Control{constructor(t){super(t),this.connected=!1}static init_AbstractSlider(){this.define(({Any:t,Boolean:e,Number:i,String:s,Color:l,Or:r,Enum:o,Ref:n})=>({title:[s,\"\"],show_value:[e,!0],start:[t],end:[t],value:[t],value_throttled:[t],step:[i,1],format:[r(s,n(a.TickFormatter))],direction:[o(\"ltr\",\"rtl\"),\"ltr\"],tooltips:[e,!0],bar_color:[l,\"#e6e6e6\"]}))}_formatter(t,e){return\"\"+t}pretty(t){return this._formatter(t,this.format)}}i.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n      424: function _(t,e,r){\n      /*! nouislider - 14.6.0 - 6/27/2020 */\n      var n;n=function(){\"use strict\";var t=\"14.6.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function 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0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof 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position: absolute;\\n  height: 14px;\\n  width: 1px;\\n  background: #E8E7E6;\\n  left: 14px;\\n  top: 6px;\\n}\\n.bk-root .noUi-handle:after {\\n  left: 17px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:before,\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  width: 14px;\\n  height: 1px;\\n  left: 6px;\\n  top: 14px;\\n}\\n.bk-root .noUi-vertical .noUi-handle:after {\\n  top: 17px;\\n}\\n.bk-root [disabled] .noUi-connect {\\n  background: #B8B8B8;\\n}\\n.bk-root [disabled].noUi-target,\\n.bk-root [disabled].noUi-handle,\\n.bk-root [disabled] .noUi-handle {\\n  cursor: not-allowed;\\n}\\n.bk-root .noUi-pips,\\n.bk-root .noUi-pips * {\\n  -moz-box-sizing: border-box;\\n  box-sizing: border-box;\\n}\\n.bk-root .noUi-pips {\\n  position: absolute;\\n  color: #999;\\n}\\n.bk-root .noUi-value {\\n  position: absolute;\\n  white-space: nowrap;\\n  text-align: center;\\n}\\n.bk-root .noUi-value-sub {\\n  color: #ccc;\\n  font-size: 10px;\\n}\\n.bk-root .noUi-marker {\\n  position: absolute;\\n  background: #CCC;\\n}\\n.bk-root .noUi-marker-sub {\\n  background: #AAA;\\n}\\n.bk-root .noUi-marker-large {\\n  background: #AAA;\\n}\\n.bk-root .noUi-pips-horizontal {\\n  padding: 10px 0;\\n  height: 80px;\\n  top: 100%;\\n  left: 0;\\n  width: 100%;\\n}\\n.bk-root .noUi-value-horizontal {\\n  -webkit-transform: translate(-50%, 50%);\\n  transform: translate(-50%, 50%);\\n}\\n.bk-root .noUi-rtl .noUi-value-horizontal {\\n  -webkit-transform: translate(50%, 50%);\\n  transform: translate(50%, 50%);\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker {\\n  margin-left: -1px;\\n  width: 2px;\\n  height: 5px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-sub {\\n  height: 10px;\\n}\\n.bk-root .noUi-marker-horizontal.noUi-marker-large {\\n  height: 15px;\\n}\\n.bk-root .noUi-pips-vertical {\\n  padding: 0 10px;\\n  height: 100%;\\n  top: 0;\\n  left: 100%;\\n}\\n.bk-root .noUi-value-vertical {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  padding-left: 25px;\\n}\\n.bk-root .noUi-rtl .noUi-value-vertical {\\n  -webkit-transform: translate(0, 50%);\\n  transform: translate(0, 50%);\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker {\\n  width: 5px;\\n  height: 2px;\\n  margin-top: -1px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-sub {\\n  width: 10px;\\n}\\n.bk-root .noUi-marker-vertical.noUi-marker-large {\\n  width: 15px;\\n}\\n.bk-root .noUi-tooltip {\\n  display: block;\\n  position: absolute;\\n  border: 1px solid #D9D9D9;\\n  border-radius: 3px;\\n  background: #fff;\\n  color: #000;\\n  padding: 5px;\\n  text-align: center;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-horizontal .noUi-tooltip {\\n  -webkit-transform: translate(-50%, 0);\\n  transform: translate(-50%, 0);\\n  left: 50%;\\n  bottom: 120%;\\n}\\n.bk-root .noUi-vertical .noUi-tooltip {\\n  -webkit-transform: translate(0, -50%);\\n  transform: translate(0, -50%);\\n  top: 50%;\\n  right: 120%;\\n}\\n.bk-root .noUi-horizontal .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(50%, 0);\\n  transform: translate(50%, 0);\\n  left: auto;\\n  bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n  -webkit-transform: translate(0, -18px);\\n  transform: translate(0, -18px);\\n  top: auto;\\n  right: 28px;\\n}\\n.bk-root .noUi-handle {\\n  cursor: grab;\\n  cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n  cursor: grabbing;\\n  cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n  display: none;\\n}\\n.bk-root .noUi-tooltip {\\n  display: none;\\n  white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n  display: block;\\n}\\n.bk-root .noUi-horizontal {\\n  width: 100%;\\n  height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n  width: 10px;\\n  height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n  width: 14px;\\n  height: 18px;\\n  right: -7px;\\n  top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n  width: 18px;\\n  height: 14px;\\n  right: -5px;\\n  top: -7px;\\n}\\n.bk-root .noUi-target.noUi-horizontal {\\n  margin: 5px 0px;\\n}\\n.bk-root .noUi-target.noUi-vertical {\\n  margin: 0px 5px;\\n}\\n\"},\n      427: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n  white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n  font-weight: 600;\\n}\\n\"},\n      428: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(186)),a=e(423);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n      429: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(430),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n      430: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(217),n=e(72),l=i.__importStar(e(18)),r=e(472),_=e(431),c=i.__importDefault(e(432));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n      431: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n      432: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n  content: \"\";\\n  display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n  clear: both;\\n}\\n'},\n      433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(404),o=e(313),_=e(72),d=n.__importStar(e(18)),l=e(8),r=e(173),u=e(281),c=e(282),h=n.__importDefault(e(284));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n      434: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(472);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s<e.length;s++){i.push(e[s].name);const n=await this.readfile(e[s]),[,o,,a]=n.split(/[:;,]/,4);t.push(a),l.push(o)}this.model.multiple?(this.model.filename=i,this.model.mime_type=l,this.model.value=t):(this.model.filename=i[0],this.model.mime_type=l[0],this.model.value=t[0])}readfile(e){return new Promise((t,i)=>{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n      435: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(72),l=e(8),o=i.__importStar(e(18)),c=e(410),r=e(412);class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=h,h.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=h,this.define({value:[o.Array,[]],options:[o.Array,[]],size:[o.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n      436: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(430),p=a(72);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n      437: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(409);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n      438: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),s=l.__importDefault(e(439)),o=e(72),n=e(8),h=e(217),a=l.__importStar(e(18)),c=e(412),u=l.__importDefault(e(440)),d=e(410);class _ extends d.InputWidgetView{constructor(){super(...arguments),this._last_height=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.disabled.change,()=>this.set_disabled());const{value:e,max_items:t,option_limit:i,delete_button:l,placeholder:s,options:o,name:n,title:h}=this.model.properties;this.on_change([e,t,i,l,s,o,n,h],()=>this.render())}styles(){return[...super.styles(),u.default]}_update_layout(){this.layout=new h.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render(),this.select_el=o.select({multiple:!0,class:c.bk_input,name:this.model.name,disabled:this.model.disabled}),this.group_el.appendChild(this.select_el);const e=new Set(this.model.value),t=this.model.options.map(t=>{let i,l;return n.isString(t)?i=l=t:[i,l]=t,{value:i,label:l,selected:e.has(i)}}),i=this.model.solid?\"solid\":\"light\",l=\"choices__item \"+i,h=\"choices__button 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t=e.element,i=e.type,n=e.classNames,s=e.preventPaste;this.element=t,this.type=i,this.classNames=n,this.preventPaste=s,this.isFocussed=this.element===document.activeElement,this.isDisabled=t.disabled,this._onPaste=this._onPaste.bind(this),this._onInput=this._onInput.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t,i,n,s=e.prototype;return 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t.clear=function(){this.element.innerHTML=\"\"},t.append=function(e){this.element.appendChild(e)},t.getChild=function(e){return this.element.querySelector(e)},t.hasChildren=function(){return this.element.hasChildNodes()},t.scrollToTop=function(){this.element.scrollTop=0},t.scrollToChildElement=function(e,t){var i=this;if(e){var n=this.element.offsetHeight,s=this.element.scrollTop+n,r=e.offsetHeight,o=e.offsetTop+r,a=t>0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),n<e&&(s=!0)):(this._scrollUp(n,4,e),n>e&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var he=function(){function e(e){var t=e.element,i=e.classNames;if(this.element=t,this.classNames=i,!(t instanceof HTMLInputElement||t instanceof HTMLSelectElement))throw new TypeError(\"Invalid element passed\");this.isDisabled=!1}var t,i,n,s=e.prototype;return s.conceal=function(){this.element.classList.add(this.classNames.input),this.element.hidden=!0,this.element.tabIndex=-1;var e=this.element.getAttribute(\"style\");e&&this.element.setAttribute(\"data-choice-orig-style\",e),this.element.setAttribute(\"data-choice\",\"active\")},s.reveal=function(){this.element.classList.remove(this.classNames.input),this.element.hidden=!1,this.element.removeAttribute(\"tabindex\");var e=this.element.getAttribute(\"data-choice-orig-style\");e?(this.element.removeAttribute(\"data-choice-orig-style\"),this.element.setAttribute(\"style\",e)):this.element.removeAttribute(\"style\"),this.element.removeAttribute(\"data-choice\"),this.element.value=this.element.value},s.enable=function(){this.element.removeAttribute(\"disabled\"),this.element.disabled=!1,this.isDisabled=!1},s.disable=function(){this.element.setAttribute(\"disabled\",\"\"),this.element.disabled=!0,this.isDisabled=!0},s.triggerEvent=function(e,t){!function(e,t,i){void 0===i&&(i=null);var n=new CustomEvent(t,{detail:i,bubbles:!0,cancelable:!0});e.dispatchEvent(n)}(this.element,e,t)},t=e,(i=[{key:\"isActive\",get:function(){return\"active\"===this.element.dataset.choice}},{key:\"dir\",get:function(){return this.element.dir}},{key:\"value\",get:function(){return this.element.value},set:function(e){this.element.value=e}}])&&le(t.prototype,i),n&&le(t,n),e}();function ue(e,t){for(var i=0;i<t.length;i++){var 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i=e.group,n=e.groupHeading,s=e.itemDisabled,r=t.id,o=t.value,a=t.disabled,c=Object.assign(document.createElement(\"div\"),{className:i+\" \"+(a?s:\"\")});return c.setAttribute(\"role\",\"group\"),Object.assign(c.dataset,{group:\"\",id:r,value:o}),a&&c.setAttribute(\"aria-disabled\",\"true\"),c.appendChild(Object.assign(document.createElement(\"div\"),{className:n,innerHTML:o})),c},choice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.itemSelectable,o=e.selectedState,a=e.itemDisabled,c=e.placeholder,l=t.id,h=t.value,u=t.label,d=t.groupId,p=t.elementId,m=t.disabled,f=t.selected,v=t.placeholder,g=Object.assign(document.createElement(\"div\"),{id:p,innerHTML:u,className:n+\" \"+s});return f&&g.classList.add(o),v&&g.classList.add(c),g.setAttribute(\"role\",d>0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i<t.length;i++){var n=t[i];n.enumerable=n.enumerable||!1,n.configurable=!0,\"value\"in n&&(n.writable=!0),Object.defineProperty(e,n.key,n)}}var Ee=\"-ms-scroll-limit\"in document.documentElement.style&&\"-ms-ime-align\"in document.documentElement.style,Ie={},Se=function(){var e,t,i;function n(e,t){var i=this;void 0===e&&(e=\"[data-choice]\"),void 0===t&&(t={}),this.config=o.a.all([P,n.defaults.options,t],{arrayMerge:function(e,t){return[].concat(t)}});var s,r,a,c,l=(s=this.config,r=P,a=Object.keys(s).sort(),c=Object.keys(r).sort(),a.filter((function(e){return c.indexOf(e)<0})));l.length&&console.warn(\"Unknown config option(s) passed\",l.join(\", \"));var h=\"string\"==typeof e?document.querySelector(e):e;if(!(h instanceof HTMLInputElement||h instanceof HTMLSelectElement))throw TypeError(\"Expected one of the following types text|select-one|select-multiple\");if(this._isTextElement=\"text\"===h.type,this._isSelectOneElement=\"select-one\"===h.type,this._isSelectMultipleElement=\"select-multiple\"===h.type,this._isSelectElement=this._isSelectOneElement||this._isSelectMultipleElement,this.config.searchEnabled=this._isSelectMultipleElement||this.config.searchEnabled,[\"auto\",\"always\"].includes(this.config.renderSelectedChoices)||(this.config.renderSelectedChoices=\"auto\"),t.addItemFilter&&\"function\"!=typeof t.addItemFilter){var u=t.addItemFilter instanceof RegExp?t.addItemFilter:new RegExp(t.addItemFilter);this.config.addItemFilter=u.test.bind(u)}if(this._isTextElement?this.passedElement=new de({element:h,classNames:this.config.classNames,delimiter:this.config.delimiter}):this.passedElement=new me({element:h,classNames:this.config.classNames,template:function(e){return i._templates.option(e)}}),this.initialised=!1,this._store=new T,this._initialState={},this._currentState={},this._prevState={},this._currentValue=\"\",this._canSearch=this.config.searchEnabled,this._isScrollingOnIe=!1,this._highlightPosition=0,this._wasTap=!0,this._placeholderValue=this._generatePlaceholderValue(),this._baseId=function(e,t){var i=e.id||e.name&&e.name+\"-\"+b(2)||b(4);return i=t+\"-\"+(i=i.replace(/(:|\\.|\\[|\\]|,)/g,\"\"))}(this.passedElement.element,\"choices-\"),this._direction=this.passedElement.dir,!this._direction){var d=window.getComputedStyle(this.passedElement.element).direction;d!==window.getComputedStyle(document.documentElement).direction&&(this._direction=d)}if(this._idNames={itemChoice:\"item-choice\"},this._presetGroups=this.passedElement.optionGroups,this._presetOptions=this.passedElement.options,this._presetChoices=this.config.choices,this._presetItems=this.config.items,this.passedElement.value&&(this._presetItems=this._presetItems.concat(this.passedElement.value.split(this.config.delimiter))),this.passedElement.options&&this.passedElement.options.forEach((function(e){i._presetChoices.push({value:e.value,label:e.innerHTML,selected:e.selected,disabled:e.disabled||e.parentNode.disabled,placeholder:\"\"===e.value||e.hasAttribute(\"placeholder\"),customProperties:e.getAttribute(\"data-custom-properties\")})})),this._render=this._render.bind(this),this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this),this._onKeyUp=this._onKeyUp.bind(this),this._onKeyDown=this._onKeyDown.bind(this),this._onClick=this._onClick.bind(this),this._onTouchMove=this._onTouchMove.bind(this),this._onTouchEnd=this._onTouchEnd.bind(this),this._onMouseDown=this._onMouseDown.bind(this),this._onMouseOver=this._onMouseOver.bind(this),this._onFormReset=this._onFormReset.bind(this),this._onAKey=this._onAKey.bind(this),this._onEnterKey=this._onEnterKey.bind(this),this._onEscapeKey=this._onEscapeKey.bind(this),this._onDirectionKey=this._onDirectionKey.bind(this),this._onDeleteKey=this._onDeleteKey.bind(this),this.passedElement.isActive)return this.config.silent||console.warn(\"Trying to initialise Choices on element already initialised\"),void(this.initialised=!0);this.init()}e=n,i=[{key:\"defaults\",get:function(){return Object.preventExtensions({get options(){return Ie},get templates(){return fe}})}}],(t=null)&&ye(e.prototype,t),i&&ye(e,i);var r=n.prototype;return r.init=function(){if(!this.initialised){this._createTemplates(),this._createElements(),this._createStructure(),this._initialState=O(this._store.state),this._store.subscribe(this._render),this._render(),this._addEventListeners(),(!this.config.addItems||this.passedElement.element.hasAttribute(\"disabled\"))&&this.disable(),this.initialised=!0;var e=this.config.callbackOnInit;e&&\"function\"==typeof e&&e.call(this)}},r.destroy=function(){this.initialised&&(this._removeEventListeners(),this.passedElement.reveal(),this.containerOuter.unwrap(this.passedElement.element),this.clearStore(),this._isSelectElement&&(this.passedElement.options=this._presetOptions),this._templates=null,this.initialised=!1)},r.enable=function(){return this.passedElement.isDisabled&&this.passedElement.enable(),this.containerOuter.isDisabled&&(this._addEventListeners(),this.input.enable(),this.containerOuter.enable()),this},r.disable=function(){return this.passedElement.isDisabled||this.passedElement.disable(),this.containerOuter.isDisabled||(this._removeEventListeners(),this.input.disable(),this.containerOuter.disable()),this},r.highlightItem=function(e,t){if(void 0===t&&(t=!0),!e)return this;var i=e.id,n=e.groupId,s=void 0===n?-1:n,r=e.value,o=void 0===r?\"\":r,a=e.label,c=void 0===a?\"\":a,l=s>=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v<m;v+=1)f[v]&&l(f[v]);return t},r._createItemsFragment=function(e,t){var i=this;void 0===t&&(t=document.createDocumentFragment());var n=this.config,s=n.shouldSortItems,r=n.sorter,o=n.removeItemButton;return s&&!this._isSelectOneElement&&e.sort(r),this._isTextElement?this.passedElement.value=e:this.passedElement.options=e,e.forEach((function(e){var n=i._getTemplate(\"item\",e,o);t.appendChild(n)})),t},r._triggerChange=function(e){null!=e&&this.passedElement.triggerEvent(N,{value:e})},r._selectPlaceholderChoice=function(){var e=this._store.placeholderChoice;e&&(this._addItem({value:e.value,label:e.label,choiceId:e.id,groupId:e.groupId,placeholder:e.placeholder}),this._triggerChange(e.value))},r._handleButtonAction=function(e,t){if(e&&t&&this.config.removeItems&&this.config.removeItemButton){var i=t.parentNode.getAttribute(\"data-id\"),n=e.find((function(e){return e.id===parseInt(i,10)}));this._removeItem(n),this._triggerChange(n.value),this._isSelectOneElement&&this._selectPlaceholderChoice()}},r._handleItemAction=function(e,t,i){var n=this;if(void 0===i&&(i=!1),e&&t&&this.config.removeItems&&!this._isSelectOneElement){var s=t.getAttribute(\"data-id\");e.forEach((function(e){e.id!==parseInt(s,10)||e.highlighted?!i&&e.highlighted&&n.unhighlightItem(e):n.highlightItem(e)})),this.input.focus()}},r._handleChoiceAction=function(e,t){if(e&&t){var i=t.dataset.id,n=this._store.getChoiceById(i);if(n){var s=e[0]&&e[0].keyCode?e[0].keyCode:null,r=this.dropdown.isActive;n.keyCode=s,this.passedElement.triggerEvent(F,{choice:n}),n.selected||n.disabled||this._canAddItem(e,n.value).response&&(this._addItem({value:n.value,label:n.label,choiceId:n.id,groupId:n.groupId,customProperties:n.customProperties,placeholder:n.placeholder,keyCode:n.keyCode}),this._triggerChange(n.value)),this.clearInput(),r&&this._isSelectOneElement&&(this.hideDropdown(!0),this.containerOuter.focus())}}},r._handleBackspace=function(e){if(this.config.removeItems&&e){var t=e[e.length-1],i=e.some((function(e){return e.highlighted}));this.config.editItems&&!i&&t?(this.input.value=t.value,this.input.setWidth(),this._removeItem(t),this._triggerChange(t.value)):(i||this.highlightItem(t,!1),this.removeHighlightedItems(!0))}},r._startLoading=function(){this._store.dispatch(be(!0))},r._stopLoading=function(){this._store.dispatch(be(!1))},r._handleLoadingState=function(e){void 0===e&&(e=!0);var t=this.itemList.getChild(\".\"+this.config.classNames.placeholder);e?(this.disable(),this.containerOuter.addLoadingState(),this._isSelectOneElement?t?t.innerHTML=this.config.loadingText:(t=this._getTemplate(\"placeholder\",this.config.loadingText),this.itemList.append(t)):this.input.placeholder=this.config.loadingText):(this.enable(),this.containerOuter.removeLoadingState(),this._isSelectOneElement?t.innerHTML=this._placeholderValue||\"\":this.input.placeholder=this._placeholderValue||\"\")},r._handleSearch=function(e){if(e&&this.input.isFocussed){var t=this._store.choices,i=this.config,n=i.searchFloor,s=i.searchChoices,r=t.some((function(e){return!e.active}));if(e&&e.length>=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX<i.offsetLeft;this._isScrollingOnIe=n}if(t!==this.input.element){var s=t.closest(\"[data-button],[data-item],[data-choice]\");if(s instanceof HTMLElement){var r=e.shiftKey,o=this._store.activeItems,a=s.dataset;\"button\"in a?this._handleButtonAction(o,s):\"item\"in a?this._handleItemAction(o,s,r):\"choice\"in a&&this._handleChoiceAction(o,s)}e.preventDefault()}}},r._onMouseOver=function(e){var t=e.target;t instanceof HTMLElement&&\"choice\"in t.dataset&&this._highlightChoice(t)},r._onClick=function(e){var t=e.target;this.containerOuter.element.contains(t)?this.dropdown.isActive||this.containerOuter.isDisabled?this._isSelectOneElement&&t!==this.input.element&&!this.dropdown.element.contains(t)&&this.hideDropdown():this._isTextElement?document.activeElement!==this.input.element&&this.input.focus():(this.showDropdown(),this.containerOuter.focus()):(this._store.highlightedActiveItems.length>0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r<n;r++)s[r-1]=arguments[r];return(t=this._templates[e]).call.apply(t,[this,i].concat(s))},r._createTemplates=function(){var e=this.config.callbackOnCreateTemplates,t={};e&&\"function\"==typeof e&&(t=e.call(this,S)),this._templates=o()(fe,t)},r._createElements=function(){this.containerOuter=new re({element:this._getTemplate(\"containerOuter\",this._direction,this._isSelectElement,this._isSelectOneElement,this.config.searchEnabled,this.passedElement.element.type),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.containerInner=new re({element:this._getTemplate(\"containerInner\"),classNames:this.config.classNames,type:this.passedElement.element.type,position:this.config.position}),this.input=new ae({element:this._getTemplate(\"input\",this._placeholderValue),classNames:this.config.classNames,type:this.passedElement.element.type,preventPaste:!this.config.paste}),this.choiceList=new ce({element:this._getTemplate(\"choiceList\",this._isSelectOneElement)}),this.itemList=new ce({element:this._getTemplate(\"itemList\",this._isSelectOneElement)}),this.dropdown=new k({element:this._getTemplate(\"dropdown\"),classNames:this.config.classNames,type:this.passedElement.element.type})},r._createStructure=function(){this.passedElement.conceal(),this.containerInner.wrap(this.passedElement.element),this.containerOuter.wrap(this.containerInner.element),this._isSelectOneElement?this.input.placeholder=this.config.searchPlaceholderValue||\"\":this._placeholderValue&&(this.input.placeholder=this._placeholderValue,this.input.setWidth()),this.containerOuter.element.appendChild(this.containerInner.element),this.containerOuter.element.appendChild(this.dropdown.element),this.containerInner.element.appendChild(this.itemList.element),this._isTextElement||this.dropdown.element.appendChild(this.choiceList.element),this._isSelectOneElement?this.config.searchEnabled&&this.dropdown.element.insertBefore(this.input.element,this.dropdown.element.firstChild):this.containerInner.element.appendChild(this.input.element),this._isSelectElement&&(this._highlightPosition=0,this._isSearching=!1,this._startLoading(),this._presetGroups.length?this._addPredefinedGroups(this._presetGroups):this._addPredefinedChoices(this._presetChoices),this._stopLoading()),this._isTextElement&&this._addPredefinedItems(this._presetItems)},r._addPredefinedGroups=function(e){var t=this,i=this.passedElement.placeholderOption;i&&\"SELECT\"===i.parentNode.tagName&&this._addChoice({value:i.value,label:i.innerHTML,isSelected:i.selected,isDisabled:i.disabled,placeholder:!0}),e.forEach((function(e){return t._addGroup({group:e,id:e.id||null})}))},r._addPredefinedChoices=function(e){var t=this;this.config.shouldSort&&e.sort(this.config.sorter);var i=e.some((function(e){return e.selected})),n=e.findIndex((function(e){return void 0===e.disabled||!e.disabled}));e.forEach((function(e,s){var r=e.value,o=e.label,a=e.customProperties,c=e.placeholder;if(t._isSelectElement)if(e.choices)t._addGroup({group:e,id:e.id||null});else{var l=!(!t._isSelectOneElement||i||s!==n)||e.selected,h=e.disabled;t._addChoice({value:r,label:o,isSelected:l,isDisabled:h,customProperties:a,placeholder:c})}else t._addChoice({value:r,label:o,isSelected:e.selected,isDisabled:e.disabled,customProperties:a,placeholder:c})}))},r._addPredefinedItems=function(e){var t=this;e.forEach((function(e){\"object\"==typeof e&&e.value&&t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}),\"string\"==typeof e&&t._addItem({value:e})}))},r._setChoiceOrItem=function(e){var t=this;({object:function(){e.value&&(t._isTextElement?t._addItem({value:e.value,label:e.label,choiceId:e.id,customProperties:e.customProperties,placeholder:e.placeholder}):t._addChoice({value:e.value,label:e.label,isSelected:!0,isDisabled:!1,customProperties:e.customProperties,placeholder:e.placeholder}))},string:function(){t._isTextElement?t._addItem({value:e}):t._addChoice({value:e,label:e,isSelected:!0,isDisabled:!1})}})[y(e).toLowerCase()]()},r._findAndSelectChoiceByValue=function(e){var t=this,i=this._store.choices.find((function(i){return t.config.valueComparer(i.value,e)}));i&&!i.selected&&this._addItem({value:i.value,label:i.label,choiceId:i.id,groupId:i.groupId,customProperties:i.customProperties,placeholder:i.placeholder,keyCode:i.keyCode})},r._generatePlaceholderValue=function(){if(this._isSelectElement){var e=this.passedElement.placeholderOption;return!!e&&e.text}var t=this.config,i=t.placeholder,n=t.placeholderValue,s=this.passedElement.element.dataset;if(i){if(n)return n;if(s.placeholder)return s.placeholder}return!1},n}();t.default=Se}]).default},\"object\"==typeof i&&\"object\"==typeof t?t.exports=s():\"function\"==typeof define&&define.amd?define([],s):\"object\"==typeof i?i.Choices=s():n.Choices=s()},\n      440: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default=\"\\n.bk-root {\\n  /*===============================\\n=            Choices            =\\n===============================*/\\n  /*=====  End of Choices  ======*/\\n}\\n.bk-root .choices {\\n  position: relative;\\n  margin-bottom: 24px;\\n  font-size: 16px;\\n}\\n.bk-root .choices:focus {\\n  outline: none;\\n}\\n.bk-root .choices:last-child {\\n  margin-bottom: 0;\\n}\\n.bk-root .choices.is-disabled .choices__inner,\\n.bk-root .choices.is-disabled .choices__input {\\n  background-color: #eaeaea;\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n}\\n.bk-root .choices.is-disabled .choices__item {\\n  cursor: not-allowed;\\n}\\n.bk-root .choices [hidden] {\\n  display: none !important;\\n}\\n.bk-root .choices[data-type*='select-one'] {\\n  cursor: pointer;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__inner {\\n  padding-bottom: 7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__input {\\n  display: block;\\n  width: 100%;\\n  padding: 10px;\\n  border-bottom: 1px solid #dddddd;\\n  background-color: #ffffff;\\n  margin: 0;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDAwIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  padding: 0;\\n  background-size: 8px;\\n  position: absolute;\\n  top: 50%;\\n  right: 0;\\n  margin-top: -10px;\\n  margin-right: 25px;\\n  height: 20px;\\n  width: 20px;\\n  border-radius: 10em;\\n  opacity: 0.5;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__button:focus {\\n  box-shadow: 0px 0px 0px 2px #00bcd4;\\n}\\n.bk-root .choices[data-type*='select-one'] .choices__item[data-value=''] .choices__button {\\n  display: none;\\n}\\n.bk-root .choices[data-type*='select-one']:after {\\n  content: '';\\n  height: 0;\\n  width: 0;\\n  border-style: solid;\\n  border-color: #333333 transparent transparent transparent;\\n  border-width: 5px;\\n  position: absolute;\\n  right: 11.5px;\\n  top: 50%;\\n  margin-top: -2.5px;\\n  pointer-events: none;\\n}\\n.bk-root .choices[data-type*='select-one'].is-open:after {\\n  border-color: transparent transparent #333333 transparent;\\n  margin-top: -7.5px;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl']:after {\\n  left: 11.5px;\\n  right: auto;\\n}\\n.bk-root .choices[data-type*='select-one'][dir='rtl'] .choices__button {\\n  right: auto;\\n  left: 0;\\n  margin-left: 25px;\\n  margin-right: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__inner,\\n.bk-root .choices[data-type*='text'] .choices__inner {\\n  cursor: text;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button,\\n.bk-root .choices[data-type*='text'] .choices__button {\\n  position: relative;\\n  display: inline-block;\\n  margin-top: 0;\\n  margin-right: -4px;\\n  margin-bottom: 0;\\n  margin-left: 8px;\\n  padding-left: 16px;\\n  border-left: 1px solid #008fa1;\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjRkZGIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  background-size: 8px;\\n  width: 8px;\\n  line-height: 1;\\n  opacity: 0.75;\\n  border-radius: 0;\\n}\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:hover,\\n.bk-root .choices[data-type*='select-multiple'] .choices__button:focus,\\n.bk-root .choices[data-type*='text'] .choices__button:hover,\\n.bk-root .choices[data-type*='text'] .choices__button:focus {\\n  opacity: 1;\\n}\\n.bk-root .choices__inner {\\n  display: inline-block;\\n  vertical-align: top;\\n  width: 100%;\\n  background-color: #f9f9f9;\\n  padding: 7.5px 7.5px 3.75px;\\n  border: 1px solid #dddddd;\\n  border-radius: 2.5px;\\n  font-size: 14px;\\n  min-height: 44px;\\n  overflow: hidden;\\n}\\n.bk-root .is-focused .choices__inner,\\n.bk-root .is-open .choices__inner {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-open .choices__inner {\\n  border-radius: 2.5px 2.5px 0 0;\\n}\\n.bk-root .is-flipped.is-open .choices__inner {\\n  border-radius: 0 0 2.5px 2.5px;\\n}\\n.bk-root .choices__list {\\n  margin: 0;\\n  padding-left: 0;\\n  list-style: none;\\n}\\n.bk-root .choices__list--single {\\n  display: inline-block;\\n  padding: 4px 16px 4px 4px;\\n  width: 100%;\\n}\\n.bk-root [dir='rtl'] .choices__list--single {\\n  padding-right: 4px;\\n  padding-left: 16px;\\n}\\n.bk-root .choices__list--single .choices__item {\\n  width: 100%;\\n}\\n.bk-root .choices__list--multiple {\\n  display: inline;\\n}\\n.bk-root .choices__list--multiple .choices__item {\\n  display: inline-block;\\n  vertical-align: middle;\\n  border-radius: 20px;\\n  padding: 4px 10px;\\n  font-size: 12px;\\n  font-weight: 500;\\n  margin-right: 3.75px;\\n  margin-bottom: 3.75px;\\n  background-color: #00bcd4;\\n  border: 1px solid #00a5bb;\\n  color: #ffffff;\\n  word-break: break-all;\\n  box-sizing: border-box;\\n}\\n.bk-root .choices__list--multiple .choices__item[data-deletable] {\\n  padding-right: 5px;\\n}\\n.bk-root [dir='rtl'] .choices__list--multiple .choices__item {\\n  margin-right: 0;\\n  margin-left: 3.75px;\\n}\\n.bk-root .choices__list--multiple .choices__item.is-highlighted {\\n  background-color: #00a5bb;\\n  border: 1px solid #008fa1;\\n}\\n.bk-root .is-disabled .choices__list--multiple .choices__item {\\n  background-color: #aaaaaa;\\n  border: 1px solid #919191;\\n}\\n.bk-root .choices__list--dropdown {\\n  visibility: hidden;\\n  z-index: 1;\\n  position: absolute;\\n  width: 100%;\\n  background-color: #ffffff;\\n  border: 1px solid #dddddd;\\n  top: 100%;\\n  margin-top: -1px;\\n  border-bottom-left-radius: 2.5px;\\n  border-bottom-right-radius: 2.5px;\\n  overflow: hidden;\\n  word-break: break-all;\\n  will-change: visibility;\\n}\\n.bk-root .choices__list--dropdown.is-active {\\n  visibility: visible;\\n}\\n.bk-root .is-open .choices__list--dropdown {\\n  border-color: #b7b7b7;\\n}\\n.bk-root .is-flipped .choices__list--dropdown {\\n  top: auto;\\n  bottom: 100%;\\n  margin-top: 0;\\n  margin-bottom: -1px;\\n  border-radius: 0.25rem 0.25rem 0 0;\\n}\\n.bk-root .choices__list--dropdown .choices__list {\\n  position: relative;\\n  max-height: 300px;\\n  overflow: auto;\\n  -webkit-overflow-scrolling: touch;\\n  will-change: scroll-position;\\n}\\n.bk-root .choices__list--dropdown .choices__item {\\n  position: relative;\\n  padding: 10px;\\n  font-size: 14px;\\n}\\n.bk-root [dir='rtl'] .choices__list--dropdown .choices__item {\\n  text-align: right;\\n}\\n@media (min-width: 640px) {\\n  .bk-root .choices__list--dropdown .choices__item--selectable {\\n    padding-right: 100px;\\n  }\\n  .bk-root .choices__list--dropdown .choices__item--selectable:after {\\n    content: attr(data-select-text);\\n    font-size: 12px;\\n    opacity: 0;\\n    position: absolute;\\n    right: 10px;\\n    top: 50%;\\n    transform: translateY(-50%);\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable {\\n    text-align: right;\\n    padding-left: 100px;\\n    padding-right: 10px;\\n  }\\n  .bk-root [dir='rtl'] .choices__list--dropdown .choices__item--selectable:after {\\n    right: auto;\\n    left: 10px;\\n  }\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted {\\n  background-color: #f2f2f2;\\n}\\n.bk-root .choices__list--dropdown .choices__item--selectable.is-highlighted:after {\\n  opacity: 0.5;\\n}\\n.bk-root .choices__item {\\n  cursor: default;\\n}\\n.bk-root .choices__item--selectable {\\n  cursor: pointer;\\n}\\n.bk-root .choices__item--disabled {\\n  cursor: not-allowed;\\n  -webkit-user-select: none;\\n  -ms-user-select: none;\\n  user-select: none;\\n  opacity: 0.5;\\n}\\n.bk-root .choices__heading {\\n  font-weight: 600;\\n  font-size: 12px;\\n  padding: 10px;\\n  border-bottom: 1px solid #f7f7f7;\\n  color: gray;\\n}\\n.bk-root .choices__button {\\n  text-indent: -9999px;\\n  -webkit-appearance: none;\\n  -moz-appearance: none;\\n  appearance: none;\\n  border: 0;\\n  background-color: transparent;\\n  background-repeat: no-repeat;\\n  background-position: center;\\n  cursor: pointer;\\n}\\n.bk-root .choices__button:focus {\\n  outline: none;\\n}\\n.bk-root .choices__input {\\n  display: inline-block;\\n  vertical-align: baseline;\\n  background-color: #f9f9f9;\\n  font-size: 14px;\\n  margin-bottom: 5px;\\n  border: 0;\\n  border-radius: 0;\\n  max-width: 100%;\\n  padding: 4px 0 4px 2px;\\n}\\n.bk-root .choices__input:focus {\\n  outline: 0;\\n}\\n.bk-root [dir='rtl'] .choices__input {\\n  padding-right: 2px;\\n  padding-left: 0;\\n}\\n.bk-root .choices__placeholder {\\n  opacity: 0.5;\\n}\\n.bk-root .choices {\\n  width: 100%;\\n}\\n.bk-root .choices {\\n  box-sizing: border-box;\\n}\\n.bk-root .choices *,\\n.bk-root .choices *:before,\\n.bk-root .choices *:after {\\n  box-sizing: inherit;\\n}\\n.bk-root .choices__inner .choices__item.light {\\n  background-color: rgba(0, 126, 255, 0.08);\\n  border-radius: 5px;\\n  border: 1px solid rgba(0, 126, 255, 0.24);\\n  color: #007eff;\\n}\\n.bk-root .choices__inner .choices__item.solid {\\n  background-color: #1f77b4;\\n  border: none;\\n  border-radius: 5px;\\n  color: white;\\n}\\n.bk-root .choices__inner .choices__item.solid .is-highlighted {\\n  background-color: #1f77b4;\\n  border: none;\\n}\\n.bk-root .choices__input {\\n  background-color: transparent;\\n}\\n.bk-root .choices__inner {\\n  background: transparent;\\n  border: 1px solid darkgray;\\n  border-radius: 5px;\\n  min-height: unset;\\n}\\n.bk-root .choices__list {\\n  white-space: initial;\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.light {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjMDA3ZWZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n}\\n.bk-root .choices[data-type*=select-multiple] .choices__button.solid {\\n  background-image: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjEiIGhlaWdodD0iMjEiIHZpZXdCb3g9IjAgMCAyMSAyMSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48ZyBmaWxsPSIjZmZmZmZmIiBmaWxsLXJ1bGU9ImV2ZW5vZGQiPjxwYXRoIGQ9Ik0yLjU5Mi4wNDRsMTguMzY0IDE4LjM2NC0yLjU0OCAyLjU0OEwuMDQ0IDIuNTkyeiIvPjxwYXRoIGQ9Ik0wIDE4LjM2NEwxOC4zNjQgMGwyLjU0OCAyLjU0OEwyLjU0OCAyMC45MTJ6Ii8+PC9nPjwvc3ZnPg==);\\n  border-left: 1px solid white;\\n  opacity: 1;\\n}\\n\"},\n      441: function _(e,t,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=e(1),n=i.__importStar(e(188)),s=e(410),u=e(72),h=e(11),o=i.__importStar(e(18)),a=e(442),r=e(412),d=/^[-+]?\\d*$/,p=/^[-+]?\\d*\\.?\\d*(?:(?:\\d|\\d.)[eE][-+]?)*\\d*$/;class _ extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>{this.input_el.value=this.format_value,this.old_value=this.input_el.value}),this.connect(this.model.properties.low.change,()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&h.assert(t<=l,\"Invalid bounds, low must be inferior to high\"),null!=e&&null!=t&&(this.model.value=Math.max(e,t))}),this.connect(this.model.properties.high.change,()=>{const{value:e,low:t,high:l}=this.model;null!=t&&null!=l&&h.assert(l>=t,\"Invalid bounds, high must be superior to low\"),null!=e&&null!=l&&(this.model.value=Math.min(e,l))}),this.connect(this.model.properties.high.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}get format_value(){return null!=this.model.value?this.model.pretty(this.model.value):\"\"}_set_input_filter(e){this.input_el.addEventListener(\"input\",()=>{const{selectionStart:t,selectionEnd:l}=this.input_el;if(e(this.input_el.value))this.old_value=this.input_el.value;else{const e=this.old_value.length-this.input_el.value.length;this.input_el.value=this.old_value,t&&l&&this.input_el.setSelectionRange(t-1,l+e)}})}render(){super.render(),this.input_el=u.input({type:\"text\",class:r.bk_input,name:this.model.name,value:this.format_value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.old_value=this.format_value,this.set_input_filter(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"focusout\",()=>this.input_el.value=this.format_value),this.group_el.appendChild(this.input_el)}set_input_filter(){\"int\"==this.model.mode?this._set_input_filter(e=>d.test(e)):\"float\"==this.model.mode&&this._set_input_filter(e=>p.test(e))}bound_value(e){let t=e;const{low:l,high:i}=this.model;return t=null!=l?Math.max(l,t):t,t=null!=i?Math.min(i,t):t,t}get value(){let e=\"\"!==this.input_el.value?Number(this.input_el.value):null;return null!=e&&(e=this.bound_value(e)),e}change_input(){null==this.value?this.model.value=null:Number.isNaN(this.value)||(this.model.value=this.value)}}l.NumericInputView=_,_.__name__=\"NumericInputView\";class m extends s.InputWidget{constructor(e){super(e)}static init_NumericInput(){this.prototype.default_view=_,this.define({value:[o.Number,null],placeholder:[o.String,\"\"],mode:[o.Any,\"int\"],format:[o.Any],low:[o.Number,null],high:[o.Number,null]})}_formatter(e,t){return a.isString(t)?n.format(e,t):t.doFormat([e],{loc:0})[0]}pretty(e){return null!=this.format?this._formatter(e,this.format):\"\"+e}}l.NumericInput=m,m.__name__=\"NumericInput\",m.init_NumericInput()},\n      442: function _(t,_,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=t(1);e.__exportStar(t(13),r),e.__exportStar(t(9),r),e.__exportStar(t(29),r),e.__exportStar(t(443),r),e.__exportStar(t(8),r),e.__exportStar(t(25),r)},\n      443: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});class n{constructor(e){this.seed=e%2147483647,this.seed<=0&&(this.seed+=2147483646)}integer(){return this.seed=48271*this.seed%2147483647,this.seed}float(){return(this.integer()-1)/2147483646}floats(e){const t=new Array(e);for(let s=0;s<e;s++)t[s]=this.float();return t}}s.Random=n,n.__name__=\"Random\",s.random=new n(Date.now())},\n      444: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const s=e(430),i=e(72);class n extends s.MarkupView{render(){super.render();const e=i.pre({style:{overflow:\"auto\"}},this.model.text);this.markup_el.appendChild(e)}}r.PreTextView=n,n.__name__=\"PreTextView\";class _ extends s.Markup{constructor(e){super(e)}static init_PreText(){this.prototype.default_view=n}}r.PreText=_,_.__name__=\"PreText\",_.init_PreText()},\n      445: function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),a=t(415),n=t(72),u=i.__importStar(t(18)),s=t(173);class _ extends a.ButtonGroupView{change_active(t){this.model.active!==t&&(this.model.active=t)}_update_active(){const{active:t}=this.model;this._buttons.forEach((o,e)=>{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n      446: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(72),s=e(29),o=n.__importStar(e(18)),d=e(417),l=e(173),p=e(412);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;s<n.length;s++){const o=a.input({type:\"radio\",name:i,value:\"\"+s});o.addEventListener(\"change\",()=>this.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n      447: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(188)),a=e(423),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n      448: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(72),l=e(8),o=e(13),p=n.__importStar(e(18)),u=e(410),a=e(412);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n      449: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(188)),o=e(423),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n      450: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(441),l=n.__importStar(e(18)),r=e(72),{min:o,max:_,floor:a,abs:h}=Math;function u(e){return a(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class p extends s.NumericInputView{*buttons(){yield this.btn_up_el,yield this.btn_down_el}initialize(){super.initialize(),this._interval=200}connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.buttons())r.toggle_attribute(e,\"disabled\",this.model.disabled)})}render(){super.render(),this.wrapper_el=r.div({class:\"bk-spin-wrapper\"}),this.group_el.replaceChild(this.wrapper_el,this.input_el),this.btn_up_el=r.button({class:\"bk-spin-btn bk-spin-btn-up\"}),this.btn_down_el=r.button({class:\"bk-spin-btn bk-spin-btn-down\"}),this.wrapper_el.appendChild(this.input_el),this.wrapper_el.appendChild(this.btn_up_el),this.wrapper_el.appendChild(this.btn_down_el);for(const e of this.buttons())r.toggle_attribute(e,\"disabled\",this.model.disabled),e.addEventListener(\"mousedown\",e=>this._btn_mouse_down(e)),e.addEventListener(\"mouseup\",()=>this._btn_mouse_up()),e.addEventListener(\"mouseleave\",()=>this._btn_mouse_leave());this.input_el.addEventListener(\"keydown\",e=>this._input_key_down(e)),this.input_el.addEventListener(\"keyup\",()=>this.model.value_throttled=this.model.value),this.input_el.addEventListener(\"wheel\",e=>this._input_mouse_wheel(e)),this.input_el.addEventListener(\"wheel\",function(e,t,i=!1){let n;return function(...s){const l=this,r=i&&void 0===n;void 0!==n&&clearTimeout(n),n=setTimeout((function(){n=void 0,i||e.apply(l,s)}),t),r&&e.apply(l,s)}}(()=>{this.model.value_throttled=this.model.value},this.model.wheel_wait,!1))}get precision(){const{low:e,high:t,step:i}=this.model;return _(...[e,t,i].map(h).reduce((e,t)=>(null!=t&&e.push(t),e),[]).map(u))}_start_incrementation(e){clearInterval(this._interval_handle),this._counter=0;const{step:t}=this.model,i=e=>{if(this._counter+=1,this._counter%5==0){const t=Math.floor(this._counter/5);t<10?(clearInterval(this._interval_handle),this._interval_handle=setInterval(()=>i(e),this._interval/(t+1))):t>=10&&t<=13&&(clearInterval(this._interval_handle),this._interval_handle=setInterval(()=>i(2*e),this._interval/10))}this.increment(e)};this._interval_handle=setInterval(()=>i(e*t),this._interval)}_stop_incrementation(){clearInterval(this._interval_handle),this.model.value_throttled=this.model.value}_btn_mouse_down(e){e.preventDefault();const t=e.currentTarget===this.btn_up_el?1:-1;this.increment(t*this.model.step),this.input_el.focus(),this._start_incrementation(t)}_btn_mouse_up(){this._stop_incrementation()}_btn_mouse_leave(){this._stop_incrementation()}_input_mouse_wheel(e){if(document.activeElement===this.input_el){e.preventDefault();const t=e.deltaY>0?-1:1;this.increment(t*this.model.step)}}_input_key_down(e){switch(e.keyCode){case r.Keys.Up:return e.preventDefault(),this.increment(this.model.step);case r.Keys.Down:return e.preventDefault(),this.increment(-this.model.step);case r.Keys.PageUp:return e.preventDefault(),this.increment(this.model.page_step_multiplier*this.model.step);case r.Keys.PageDown:return e.preventDefault(),this.increment(-this.model.page_step_multiplier*this.model.step)}}adjust_to_precision(e){return this.bound_value(Number(e.toFixed(this.precision)))}increment(e){const{low:t,high:i}=this.model;null==this.model.value?e>0?this.model.value=null!=t?t:null!=i?o(0,i):0:e<0&&(this.model.value=null!=i?i:null!=t?_(t,0):0):this.model.value=this.adjust_to_precision(this.model.value+e)}change_input(){super.change_input(),this.model.value_throttled=this.model.value}}i.SpinnerView=p,p.__name__=\"SpinnerView\";class d extends s.NumericInput{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=p,this.define({value_throttled:[l.Number,null],step:[l.Number,1],page_step_multiplier:[l.Number,10],wheel_wait:[l.Number,100]}),this.override({mode:\"float\"})}}i.Spinner=d,d.__name__=\"Spinner\",d.init_Spinner()},\n      451: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(410),l=e(72),h=s.__importStar(e(18)),o=e(412);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n      452: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(404),o=e(72),a=s.__importStar(e(18)),n=e(173);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n      }, 402, {\"models/widgets/main\":402,\"models/widgets/index\":403,\"models/widgets/abstract_button\":404,\"models/widgets/control\":405,\"models/widgets/widget\":472,\"models/widgets/abstract_icon\":407,\"models/widgets/autocomplete_input\":408,\"models/widgets/text_input\":409,\"models/widgets/input_widget\":410,\"styles/widgets/inputs.css\":411,\"styles/widgets/inputs\":412,\"models/widgets/button\":413,\"models/widgets/checkbox_button_group\":414,\"models/widgets/button_group\":415,\"models/widgets/checkbox_group\":416,\"models/widgets/input_group\":417,\"models/widgets/color_picker\":418,\"models/widgets/date_picker\":419,\"styles/widgets/flatpickr.css\":421,\"models/widgets/date_range_slider\":422,\"models/widgets/abstract_slider\":423,\"styles/widgets/sliders\":425,\"styles/widgets/nouislider.css\":426,\"styles/widgets/sliders.css\":427,\"models/widgets/date_slider\":428,\"models/widgets/div\":429,\"models/widgets/markup\":430,\"styles/clearfix\":431,\"styles/clearfix.css\":432,\"models/widgets/dropdown\":433,\"models/widgets/file_input\":434,\"models/widgets/multiselect\":435,\"models/widgets/paragraph\":436,\"models/widgets/password_input\":437,\"models/widgets/multichoice\":438,\"styles/widgets/choices.css\":440,\"models/widgets/numeric_input\":441,\"api/linalg\":442,\"core/util/random\":443,\"models/widgets/pretext\":444,\"models/widgets/radio_button_group\":445,\"models/widgets/radio_group\":446,\"models/widgets/range_slider\":447,\"models/widgets/selectbox\":448,\"models/widgets/slider\":449,\"models/widgets/spinner\":450,\"models/widgets/textarea_input\":451,\"models/widgets/toggle\":452}, {});\n      })\n\n\n      /* END bokeh-widgets.min.js */\n    },\n    \n    function(Bokeh) {\n      /* BEGIN bokeh-tables.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], \"2.2.3\");\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      453: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(454));o.Tables=r;e(7).register_models(r)},\n      454: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(455),r),e.__exportStar(a(475),r);var t=a(456);r.DataTable=t.DataTable;var o=a(474);r.TableColumn=o.TableColumn;var n=a(473);r.TableWidget=n.TableWidget;var u=a(481);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(482);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n      455: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(72),a=e(78),n=e(81),l=e(456),u=e(478);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}renderEditor(){this.inputEl.focus(),this.inputEl.select()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class y extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=y,y.__name__=\"IntEditor\",y.init_IntEditor();class v extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=v,v.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=v,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n      456: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(457),n=e(461),l=e(462),r=e(463),d=e(29),a=e(8),h=e(9),u=e(13),c=e(19),_=e(472),m=e(473),g=e(474),p=e(478),f=s.__importDefault(e(479)),b=s.__importDefault(e(480));i.DTINDEX_NAME=\"__bkdt_internal_index__\",i.AutosizeModes={fit_columns:\"FCV\",fit_viewport:\"FVC\",force_fit:\"LFF\",none:\"NOA\"};class w{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=[...this.view.indices]}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getRecords(){return h.range(0,this.getLength()).map(e=>this.getItem(e))}getItems(){return this.getRecords()}slice(e,t,i){return e=null!=e?e:0,t=null!=t?t:this.getLength(),i=null!=i?i:1,h.range(e,t,i).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((e,i)=>{for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n];if(t!==r)return a.isNumber(t)&&a.isNumber(r)?l*(t-r||+isNaN(t)-+isNaN(r)):\"\"+t>\"\"+r?l:-l}return 0})}}i.TableDataProvider=w,w.__name__=\"TableDataProvider\";class x extends _.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1,this._width=null}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,b.default]}update_position(){super.update_position(),this.grid.resizeCanvas()}after_layout(){super.after_layout(),this.updateLayout(!0,!1)}box_sizing(){const e=super.box_sizing();return\"fit_viewport\"===this.model.autosize_mode&&null!=this._width&&(e.width=this._width),e}updateLayout(e,t){const s=this.autosize;s===i.AutosizeModes.fit_columns||s===i.AutosizeModes.force_fit?(e||this.grid.resizeCanvas(),this.grid.autosizeColumns()):e&&t&&s===i.AutosizeModes.fit_viewport&&this.invalidate_layout()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.updateLayout(!0,!0)}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:d.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:p.bk_cell_index,headerCssClass:p.bk_header_index}}css_classes(){return super.css_classes().concat(p.bk_data_table)}get autosize(){let e;return e=!0===this.model.fit_columns?i.AutosizeModes.force_fit:!1===this.model.fit_columns?i.AutosizeModes.none:i.AutosizeModes[this.model.autosize_mode],e}render(){var e;const t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));let s=null;if(\"checkbox\"==this.model.selectable&&(s=new n.CheckboxSelectColumn({cssClass:p.bk_cell_select}),t.unshift(s.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:d}=this.model;!d||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(c.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),d=!1);let h=-1,u=!1;const{frozen_rows:_,frozen_columns:m}=this.model,g=null==m?-1:m-1;null!=_&&(u=_<0,h=Math.abs(_));const f={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:d,autosizeColsMode:this.autosize,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:this.model.auto_edit,autoHeight:!1,rowHeight:this.model.row_height,frozenColumn:g,frozenRow:h,frozenBottom:u},b=null!=this.grid;if(this.data=new w(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,f),this.autosize==i.AutosizeModes.fit_viewport){this.grid.autosizeColumns();let i=0;for(const s of t)i+=null!==(e=s.width)&&void 0!==e?e:0;this._width=Math.ceil(i)}if(this.grid.onSort.subscribe((e,t)=>{if(!this.model.sortable)return;const i=t.sortCols;null!=i&&(this.data.sort(i),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(i))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==s})),null!=s&&this.grid.registerPlugin(s);const e={dataItemColumnValueExtractor(e,t){let i=e[t.field];return a.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(e)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}b&&this.updateLayout(b,!1)}_hide_header(){for(const e of 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this.options.duration?this.pos=t=b.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):tt.propHooks._default.set(this),this}},tt.prototype.init.prototype=tt.prototype,tt.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=b.css(e.elem,e.prop,\"\"))&&\"auto\"!==t?t:0},set:function(e){b.fx.step[e.prop]?b.fx.step[e.prop](e):1!==e.elem.nodeType||!b.cssHooks[e.prop]&&null==e.elem.style[Ve(e.prop)]?e.elem[e.prop]=e.now:b.style(e.elem,e.prop,e.now+e.unit)}}},tt.propHooks.scrollTop=tt.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},b.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:\"swing\"},b.fx=tt.prototype.init,b.fx.step={};var nt,rt,it=/^(?:toggle|show|hide)$/,ot=/queueHooks$/;function at(){rt&&(!1===v.hidden&&e.requestAnimationFrame?e.requestAnimationFrame(at):e.setTimeout(at,b.fx.interval),b.fx.tick())}function st(){return e.setTimeout((function(){nt=void 0})),nt=Date.now()}function ut(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i[\"margin\"+(n=te[r])]=i[\"padding\"+n]=e;return t&&(i.opacity=i.width=e),i}function lt(e,t,n){for(var r,i=(ct.tweeners[t]||[]).concat(ct.tweeners[\"*\"]),o=0,a=i.length;o<a;o++)if(r=i[o].call(n,t,e))return r}function ct(e,t,n){var r,i,o=0,a=ct.prefilters.length,s=b.Deferred().always((function(){delete u.elem})),u=function(){if(i)return!1;for(var t=nt||st(),n=Math.max(0,l.startTime+l.duration-t),r=1-(n/l.duration||0),o=0,a=l.tweens.length;o<a;o++)l.tweens[o].run(r);return 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b.map(c,lt,l),h(l.opts.start)&&l.opts.start.call(e,l),l.progress(l.opts.progress).done(l.opts.done,l.opts.complete).fail(l.opts.fail).always(l.opts.always),b.fx.timer(b.extend(u,{elem:e,anim:l,queue:l.opts.queue})),l}b.Animation=b.extend(ct,{tweeners:{\"*\":[function(e,t){var n=this.createTween(e,t);return ae(n.elem,e,ee.exec(t),n),n}]},tweener:function(e,t){h(e)?(t=e,e=[\"*\"]):e=e.match(O);for(var n,r=0,i=e.length;r<i;r++)n=e[r],ct.tweeners[n]=ct.tweeners[n]||[],ct.tweeners[n].unshift(t)},prefilters:[function(e,t,n){var r,i,o,a,s,u,l,c,f=\"width\"in t||\"height\"in t,p=this,d={},h=e.style,g=e.nodeType&&oe(e),v=G.get(e,\"fxshow\");for(r in n.queue||(null==(a=b._queueHooks(e,\"fx\")).unqueued&&(a.unqueued=0,s=a.empty.fire,a.empty.fire=function(){a.unqueued||s()}),a.unqueued++,p.always((function(){p.always((function(){a.unqueued--,b.queue(e,\"fx\").length||a.empty.fire()}))}))),t)if(i=t[r],it.test(i)){if(delete 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v||(v[r]=u.start,g&&(u.end=u.start,u.start=0))}],prefilter:function(e,t){t?ct.prefilters.unshift(e):ct.prefilters.push(e)}}),b.speed=function(e,t,n){var r=e&&\"object\"==typeof e?b.extend({},e):{complete:n||!n&&t||h(e)&&e,duration:e,easing:n&&t||t&&!h(t)&&t};return b.fx.off?r.duration=0:\"number\"!=typeof r.duration&&(r.duration in b.fx.speeds?r.duration=b.fx.speeds[r.duration]:r.duration=b.fx.speeds._default),null!=r.queue&&!0!==r.queue||(r.queue=\"fx\"),r.old=r.complete,r.complete=function(){h(r.old)&&r.old.call(this),r.queue&&b.dequeue(this,r.queue)},r},b.fn.extend({fadeTo:function(e,t,n,r){return this.filter(oe).css(\"opacity\",0).show().end().animate({opacity:t},e,n,r)},animate:function(e,t,n,r){var i=b.isEmptyObject(e),o=b.speed(t,n,r),a=function(){var t=ct(this,b.extend({},e),o);(i||G.get(this,\"finish\"))&&t.stop(!0)};return a.finish=a,i||!1===o.queue?this.each(a):this.queue(o.queue,a)},stop:function(e,t,n){var r=function(e){var t=e.stop;delete e.stop,t(n)};return\"string\"!=typeof e&&(n=t,t=e,e=void 0),t&&this.queue(e||\"fx\",[]),this.each((function(){var t=!0,i=null!=e&&e+\"queueHooks\",o=b.timers,a=G.get(this);if(i)a[i]&&a[i].stop&&r(a[i]);else for(i in a)a[i]&&a[i].stop&&ot.test(i)&&r(a[i]);for(i=o.length;i--;)o[i].elem!==this||null!=e&&o[i].queue!==e||(o[i].anim.stop(n),t=!1,o.splice(i,1));!t&&n||b.dequeue(this,e)}))},finish:function(e){return!1!==e&&(e=e||\"fx\"),this.each((function(){var t,n=G.get(this),r=n[e+\"queue\"],i=n[e+\"queueHooks\"],o=b.timers,a=r?r.length:0;for(n.finish=!0,b.queue(this,e,[]),i&&i.stop&&i.stop.call(this,!0),t=o.length;t--;)o[t].elem===this&&o[t].queue===e&&(o[t].anim.stop(!0),o.splice(t,1));for(t=0;t<a;t++)r[t]&&r[t].finish&&r[t].finish.call(this);delete n.finish}))}}),b.each([\"toggle\",\"show\",\"hide\"],(function(e,t){var n=b.fn[t];b.fn[t]=function(e,r,i){return null==e||\"boolean\"==typeof e?n.apply(this,arguments):this.animate(ut(t,!0),e,r,i)}})),b.each({slideDown:ut(\"show\"),slideUp:ut(\"hide\"),slideToggle:ut(\"toggle\"),fadeIn:{opacity:\"show\"},fadeOut:{opacity:\"hide\"},fadeToggle:{opacity:\"toggle\"}},(function(e,t){b.fn[e]=function(e,n,r){return this.animate(t,e,n,r)}})),b.timers=[],b.fx.tick=function(){var e,t=0,n=b.timers;for(nt=Date.now();t<n.length;t++)(e=n[t])()||n[t]!==e||n.splice(t--,1);n.length||b.fx.stop(),nt=void 0},b.fx.timer=function(e){b.timers.push(e),b.fx.start()},b.fx.interval=13,b.fx.start=function(){rt||(rt=!0,at())},b.fx.stop=function(){rt=null},b.fx.speeds={slow:600,fast:200,_default:400},b.fn.delay=function(t,n){return t=b.fx&&b.fx.speeds[t]||t,n=n||\"fx\",this.queue(n,(function(n,r){var i=e.setTimeout(n,t);r.stop=function(){e.clearTimeout(i)}}))},function(){var e=v.createElement(\"input\"),t=v.createElement(\"select\").appendChild(v.createElement(\"option\"));e.type=\"checkbox\",d.checkOn=\"\"!==e.value,d.optSelected=t.selected,(e=v.createElement(\"input\")).value=\"t\",e.type=\"radio\",d.radioValue=\"t\"===e.value}();var ft,pt=b.expr.attrHandle;b.fn.extend({attr:function(e,t){return B(this,b.attr,e,t,arguments.length>1)},removeAttr:function(e){return this.each((function(){b.removeAttr(this,e)}))}}),b.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return void 0===e.getAttribute?b.prop(e,t,n):(1===o&&b.isXMLDoc(e)||(i=b.attrHooks[t.toLowerCase()]||(b.expr.match.bool.test(t)?ft:void 0)),void 0!==n?null===n?void b.removeAttr(e,t):i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+\"\"),n):i&&\"get\"in i&&null!==(r=i.get(e,t))?r:null==(r=b.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!d.radioValue&&\"radio\"===t&&k(e,\"input\")){var n=e.value;return e.setAttribute(\"type\",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(O);if(i&&1===e.nodeType)for(;n=i[r++];)e.removeAttribute(n)}}),ft={set:function(e,t,n){return!1===t?b.removeAttr(e,n):e.setAttribute(n,n),n}},b.each(b.expr.match.bool.source.match(/\\w+/g),(function(e,t){var n=pt[t]||b.find.attr;pt[t]=function(e,t,r){var i,o,a=t.toLowerCase();return r||(o=pt[a],pt[a]=i,i=null!=n(e,t,r)?a:null,pt[a]=o),i}}));var dt=/^(?:input|select|textarea|button)$/i,ht=/^(?:a|area)$/i;function gt(e){return(e.match(O)||[]).join(\" \")}function vt(e){return e.getAttribute&&e.getAttribute(\"class\")||\"\"}function yt(e){return Array.isArray(e)?e:\"string\"==typeof e&&e.match(O)||[]}b.fn.extend({prop:function(e,t){return B(this,b.prop,e,t,arguments.length>1)},removeProp:function(e){return this.each((function(){delete this[b.propFix[e]||e]}))}}),b.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&b.isXMLDoc(e)||(t=b.propFix[t]||t,i=b.propHooks[t]),void 0!==n?i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&\"get\"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=b.find.attr(e,\"tabindex\");return t?parseInt(t,10):dt.test(e.nodeName)||ht.test(e.nodeName)&&e.href?0:-1}}},propFix:{for:\"htmlFor\",class:\"className\"}}),d.optSelected||(b.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),b.each([\"tabIndex\",\"readOnly\",\"maxLength\",\"cellSpacing\",\"cellPadding\",\"rowSpan\",\"colSpan\",\"useMap\",\"frameBorder\",\"contentEditable\"],(function(){b.propFix[this.toLowerCase()]=this})),b.fn.extend({addClass:function(e){var t,n,r,i,o,a,s,u=0;if(h(e))return this.each((function(t){b(this).addClass(e.call(this,t,vt(this)))}));if((t=yt(e)).length)for(;n=this[u++];)if(i=vt(n),r=1===n.nodeType&&\" \"+gt(i)+\" \"){for(a=0;o=t[a++];)r.indexOf(\" \"+o+\" \")<0&&(r+=o+\" \");i!==(s=gt(r))&&n.setAttribute(\"class\",s)}return this},removeClass:function(e){var t,n,r,i,o,a,s,u=0;if(h(e))return this.each((function(t){b(this).removeClass(e.call(this,t,vt(this)))}));if(!arguments.length)return this.attr(\"class\",\"\");if((t=yt(e)).length)for(;n=this[u++];)if(i=vt(n),r=1===n.nodeType&&\" \"+gt(i)+\" \"){for(a=0;o=t[a++];)for(;r.indexOf(\" \"+o+\" \")>-1;)r=r.replace(\" \"+o+\" \",\" \");i!==(s=gt(r))&&n.setAttribute(\"class\",s)}return this},toggleClass:function(e,t){var n=typeof e,r=\"string\"===n||Array.isArray(e);return\"boolean\"==typeof t&&r?t?this.addClass(e):this.removeClass(e):h(e)?this.each((function(n){b(this).toggleClass(e.call(this,n,vt(this),t),t)})):this.each((function(){var t,i,o,a;if(r)for(i=0,o=b(this),a=yt(e);t=a[i++];)o.hasClass(t)?o.removeClass(t):o.addClass(t);else void 0!==e&&\"boolean\"!==n||((t=vt(this))&&G.set(this,\"__className__\",t),this.setAttribute&&this.setAttribute(\"class\",t||!1===e?\"\":G.get(this,\"__className__\")||\"\"))}))},hasClass:function(e){var t,n,r=0;for(t=\" \"+e+\" \";n=this[r++];)if(1===n.nodeType&&(\" \"+gt(vt(n))+\" \").indexOf(t)>-1)return!0;return!1}});var mt=/\\r/g;b.fn.extend({val:function(e){var t,n,r,i=this[0];return arguments.length?(r=h(e),this.each((function(n){var i;1===this.nodeType&&(null==(i=r?e.call(this,n,b(this).val()):e)?i=\"\":\"number\"==typeof i?i+=\"\":Array.isArray(i)&&(i=b.map(i,(function(e){return null==e?\"\":e+\"\"}))),(t=b.valHooks[this.type]||b.valHooks[this.nodeName.toLowerCase()])&&\"set\"in t&&void 0!==t.set(this,i,\"value\")||(this.value=i))}))):i?(t=b.valHooks[i.type]||b.valHooks[i.nodeName.toLowerCase()])&&\"get\"in t&&void 0!==(n=t.get(i,\"value\"))?n:\"string\"==typeof(n=i.value)?n.replace(mt,\"\"):null==n?\"\":n:void 0}}),b.extend({valHooks:{option:{get:function(e){var t=b.find.attr(e,\"value\");return null!=t?t:gt(b.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a=\"select-one\"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r<u;r++)if(((n=i[r]).selected||r===o)&&!n.disabled&&(!n.parentNode.disabled||!k(n.parentNode,\"optgroup\"))){if(t=b(n).val(),a)return t;s.push(t)}return s},set:function(e,t){for(var n,r,i=e.options,o=b.makeArray(t),a=i.length;a--;)((r=i[a]).selected=b.inArray(b.valHooks.option.get(r),o)>-1)&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),b.each([\"radio\",\"checkbox\"],(function(){b.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=b.inArray(b(e).val(),t)>-1}},d.checkOn||(b.valHooks[this].get=function(e){return null===e.getAttribute(\"value\")?\"on\":e.value})})),d.focusin=\"onfocusin\"in e;var 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g(t)?0===r.indexOf(\"outer\")?t[\"inner\"+e]:t.document.documentElement[\"client\"+e]:9===t.nodeType?(o=t.documentElement,Math.max(t.body[\"scroll\"+e],o[\"scroll\"+e],t.body[\"offset\"+e],o[\"offset\"+e],o[\"client\"+e])):void 0===i?b.css(t,n,s):b.style(t,n,i,s)}),t,a?i:void 0,a)}}))})),b.each([\"ajaxStart\",\"ajaxStop\",\"ajaxComplete\",\"ajaxError\",\"ajaxSuccess\",\"ajaxSend\"],(function(e,t){b.fn[t]=function(e){return this.on(t,e)}})),b.fn.extend({bind:function(e,t,n){return this.on(e,null,t,n)},unbind:function(e,t){return this.off(e,null,t)},delegate:function(e,t,n,r){return this.on(t,e,n,r)},undelegate:function(e,t,n){return 1===arguments.length?this.off(e,\"**\"):this.off(t,e||\"**\",n)},hover:function(e,t){return this.mouseenter(e).mouseleave(t||e)}}),b.each(\"blur focus focusin focusout resize scroll click dblclick mousedown mouseup mousemove mouseover mouseout mouseenter mouseleave change select submit keydown keypress keyup contextmenu\".split(\" 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o=t(458);function e(){var t=!1,n=!1;this.stopPropagation=function(){t=!0},this.isPropagationStopped=function(){return t},this.stopImmediatePropagation=function(){n=!0},this.isImmediatePropagationStopped=function(){return n}}function r(){this.__nonDataRow=!0}function u(){this.__group=!0,this.level=0,this.count=0,this.value=null,this.title=null,this.collapsed=!1,this.selectChecked=!1,this.totals=null,this.rows=[],this.groups=null,this.groupingKey=null}function s(){this.__groupTotals=!0,this.group=null,this.initialized=!1}function l(){var t=null;this.isActive=function(n){return n?t===n:null!==t},this.activate=function(n){if(n!==t){if(null!==t)throw new Error(\"SlickGrid.EditorLock.activate: an editController is still active, can't activate another editController\");if(!n.commitCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .commitCurrentEdit()\");if(!n.cancelCurrentEdit)throw new Error(\"SlickGrid.EditorLock.activate: editController must implement .cancelCurrentEdit()\");t=n}},this.deactivate=function(n){if(t!==n)throw new Error(\"SlickGrid.EditorLock.deactivate: specified editController is not the currently active one\");t=null},this.commitCurrentEdit=function(){return!t||t.commitCurrentEdit()},this.cancelCurrentEdit=function(){return!t||t.cancelCurrentEdit()}}u.prototype=new r,u.prototype.equals=function(t){return this.value===t.value&&this.count===t.count&&this.collapsed===t.collapsed&&this.title===t.title},s.prototype=new r,n.exports={Event:function(){var t=[];this.subscribe=function(n){t.push(n)},this.unsubscribe=function(n){for(var i=t.length-1;i>=0;i--)t[i]===n&&t.splice(i,1)},this.notify=function(n,i,o){var r;i=i||new e,o=o||this;for(var u=0;u<t.length&&!i.isPropagationStopped()&&!i.isImmediatePropagationStopped();u++)r=t[u].call(o,i,n);return r}},EventData:e,EventHandler:function(){var t=[];this.subscribe=function(n,i){return t.push({event:n,handler:i}),n.subscribe(i),this},this.unsubscribe=function(n,i){for(var o=t.length;o--;)if(t[o].event===n&&t[o].handler===i)return t.splice(o,1),void n.unsubscribe(i);return this},this.unsubscribeAll=function(){for(var n=t.length;n--;)t[n].event.unsubscribe(t[n].handler);return t=[],this}},Range:function(t,n,i,o){void 0===i&&void 0===o&&(i=t,o=n),this.fromRow=Math.min(t,i),this.fromCell=Math.min(n,o),this.toRow=Math.max(t,i),this.toCell=Math.max(n,o),this.isSingleRow=function(){return this.fromRow==this.toRow},this.isSingleCell=function(){return this.fromRow==this.toRow&&this.fromCell==this.toCell},this.contains=function(t,n){return t>=this.fromRow&&t<=this.toRow&&n>=this.fromCell&&n<=this.toCell},this.toString=function(){return this.isSingleCell()?\"(\"+this.fromRow+\":\"+this.fromCell+\")\":\"(\"+this.fromRow+\":\"+this.fromCell+\" - \"+this.toRow+\":\"+this.toCell+\")\"}},NonDataRow:r,Group:u,GroupTotals:s,EditorLock:l,GlobalEditorLock:new l,TreeColumns:function(t){var n={};function i(t,n){return t.filter((function(t){var o=n.call(t);return o&&t.columns&&(t.columns=i(t.columns,n)),o&&(!t.columns||t.columns.length)}))}function e(t){return void 0===t?-1:t}function r(t){var n=[];if(t.hasOwnProperty(\"length\"))for(var i=0;i<t.length;i++)n=n.concat(r(t[i]));else{if(!t.hasOwnProperty(\"columns\"))return t;n=n.concat(r(t.columns))}return n}function u(){return o.extend(!0,[],t)}!function t(i){i.forEach((function(i){n[i.id]=i,i.columns&&t(i.columns)}))}(t),this.hasDepth=function(){for(var n in t)if(t[n].hasOwnProperty(\"columns\"))return!0;return!1},this.getTreeColumns=function(){return t},this.extractColumns=function(){return this.hasDepth()?r(t):t},this.getDepth=function(){return function t(n){if(!n.length)return n.columns?1+t(n.columns):1;for(var i in n)return t(n[i])}(t)},this.getColumnsInDepth=function(n){return function t(n,i,o){var e=[];if(i==(o=o||0))return n.length&&n.forEach((function(t){t.columns&&(t.extractColumns=function(){return r(t)})})),n;for(var u in n)n[u].columns&&(e=e.concat(t(n[u].columns,i,o+1)));return e}(t,n)},this.getColumnsInGroup=function(t){return r(t)},this.visibleColumns=function(){return i(u(),(function(){return this.visible}))},this.filter=function(t){return i(u(),t)},this.reOrder=function(n){return function t(n,i){n.sort((function(t,n){return e(i.getColumnIndex(t.id))-e(i.getColumnIndex(n.id))})).forEach((function(n){n.columns&&t(n.columns,i)}))}(t,n)},this.getById=function(t){return n[t]},this.getInIds=function(t){return t.map((function(t){return n[t]}))}},keyCode:{SPACE:8,BACKSPACE:8,DELETE:46,DOWN:40,END:35,ENTER:13,ESCAPE:27,ESC:27,HOME:36,INSERT:45,LEFT:37,PAGE_DOWN:34,PAGE_UP:33,RIGHT:39,TAB:9,UP:38,A:65,C:67,V:86},preClickClassName:\"slick-edit-preclick\",GridAutosizeColsMode:{None:\"NOA\",LegacyOff:\"LOF\",LegacyForceFit:\"LFF\",IgnoreViewport:\"IGV\",FitColsToViewport:\"FCV\",FitViewportToCols:\"FVC\"},ColAutosizeMode:{Locked:\"LCK\",Guide:\"GUI\",Content:\"CON\",ContentIntelligent:\"CTI\"},RowSelectionMode:{FirstRow:\"FS1\",FirstNRows:\"FSN\",AllRows:\"ALL\",LastRow:\"LS1\"},ValueFilterMode:{None:\"NONE\",DeDuplicate:\"DEDP\",GetGreatestAndSub:\"GR8T\",GetLongestTextAndSub:\"LNSB\",GetLongestText:\"LNSC\"},WidthEvalMode:{CanvasTextSize:\"CANV\",HTML:\"HTML\"}}},\n      461: function _(e,t,o){var l=e(458),n=e(460);t.exports={CheckboxSelectColumn:function(e){var t,o=null,i=k(),c=new n.EventHandler,r={},d=!1,a=l.extend(!0,{},{columnId:\"_checkbox_selector\",cssClass:null,hideSelectAllCheckbox:!1,toolTip:\"Select/Deselect All\",width:30,hideInColumnTitleRow:!1,hideInFilterHeaderRow:!0},e);function s(){t.updateColumnHeader(a.columnId,\"\",\"\")}function u(){l(\"#filter-checkbox-selectall-container\").hide()}function h(e,n){var c,s,u,h=t.getSelectedRows(),f={},p=0;if(\"function\"==typeof o)for(u=0;u<t.getDataLength();u++){C(s,t.getDataItem(u),t)||p++}var b=[];for(s=0;s<h.length;s++){c=h[s],C(s,t.getDataItem(c),t)?(f[c]=!0,f[c]!==r[c]&&(t.invalidateRow(c),delete r[c])):b.push(c)}for(s in r)t.invalidateRow(s);(r=f,t.render(),d=h.length&&h.length+p>=t.getDataLength(),a.hideInColumnTitleRow||a.hideSelectAllCheckbox||R(d),a.hideInFilterHeaderRow)||l(\"#header-filter-selector\"+i).prop(\"checked\",d);if(b.length>0){for(s=0;s<b.length;s++){var m=h.indexOf(b[s]);h.splice(m,1)}t.setSelectedRows(h)}}function f(e,o){32==e.which&&t.getColumns()[o.cell].id===a.columnId&&(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit()||b(o.row),e.preventDefault(),e.stopImmediatePropagation())}function p(e,o){if(t.getColumns()[o.cell].id===a.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();b(o.row),e.stopPropagation(),e.stopImmediatePropagation()}}function b(e){var o=t.getDataItem(e);C(e,o,t)&&(r[e]?t.setSelectedRows(l.grep(t.getSelectedRows(),(function(t){return t!=e}))):t.setSelectedRows(t.getSelectedRows().concat(e)),t.setActiveCell(e,function(){if(null===g){g=0;for(var e=t.getColumns(),o=0;o<e.length;o++)e[o].id==a.columnId&&(g=o)}return g}()))}function m(e,o){if(o.column.id==a.columnId&&l(e.target).is(\":checkbox\")){if(t.getEditorLock().isActive()&&!t.getEditorLock().commitCurrentEdit())return e.preventDefault(),void e.stopImmediatePropagation();if(l(e.target).is(\":checked\")){for(var n=[],i=0;i<t.getDataLength();i++){C(i,t.getDataItem(i),t)&&n.push(i)}t.setSelectedRows(n)}else t.setSelectedRows([]);e.stopPropagation(),e.stopImmediatePropagation()}}\"function\"==typeof a.selectableOverride&&v(a.selectableOverride);var g=null;function k(){return Math.round(1e7*Math.random())}function w(e,t,o,l,n,i){var c=k()+e;return n&&C(e,n,i)?r[e]?\"<input id='selector\"+c+\"' type='checkbox' checked='checked'><label for='selector\"+c+\"'></label>\":\"<input id='selector\"+c+\"' type='checkbox'><label for='selector\"+c+\"'></label>\":null}function C(e,t,l){return\"function\"!=typeof o||o(e,t,l)}function R(e){e?t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+i+\"' type='checkbox' checked='checked'><label for='header-selector\"+i+\"'></label>\",a.toolTip):t.updateColumnHeader(a.columnId,\"<input id='header-selector\"+i+\"' type='checkbox'><label for='header-selector\"+i+\"'></label>\",a.toolTip)}function v(e){o=e}l.extend(this,{init:function(e){t=e,c.subscribe(t.onSelectedRowsChanged,h).subscribe(t.onClick,p).subscribe(t.onKeyDown,f),a.hideInFilterHeaderRow||function(e){e.onHeaderRowCellRendered.subscribe((function(e,t){\"sel\"===t.column.field&&(l(t.node).empty(),l(\"<span id='filter-checkbox-selectall-container'><input id='header-filter-selector\"+i+\"' type='checkbox'><label for='header-filter-selector\"+i+\"'></label></span>\").appendTo(t.node).on(\"click\",(function(e){m(e,t)})))}))}(e),a.hideInColumnTitleRow||c.subscribe(t.onHeaderClick,m)},destroy:function(){c.unsubscribeAll()},pluginName:\"CheckboxSelectColumn\",deSelectRows:function(e){var o,n=e.length,i=[];for(o=0;o<n;o++)r[e[o]]&&(i[i.length]=e[o]);t.setSelectedRows(l.grep(t.getSelectedRows(),(function(e){return i.indexOf(e)<0})))},selectRows:function(e){var o,l=e.length,n=[];for(o=0;o<l;o++)r[e[o]]||(n[n.length]=e[o]);t.setSelectedRows(t.getSelectedRows().concat(n))},getColumnDefinition:function(){return{id:a.columnId,name:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":\"<input id='header-selector\"+i+\"' type='checkbox'><label for='header-selector\"+i+\"'></label>\",toolTip:a.hideSelectAllCheckbox||a.hideInColumnTitleRow?\"\":a.toolTip,field:\"sel\",width:a.width,resizable:!1,sortable:!1,cssClass:a.cssClass,hideSelectAllCheckbox:a.hideSelectAllCheckbox,formatter:w}},getOptions:function(){return a},selectableOverride:v,setOptions:function(e){if((a=l.extend(!0,{},a,e)).hideSelectAllCheckbox)s(),u();else if(a.hideInColumnTitleRow?s():(R(d),c.subscribe(t.onHeaderClick,m)),a.hideInFilterHeaderRow)u();else{var o=l(\"#filter-checkbox-selectall-container\");o.show(),o.find('input[type=\"checkbox\"]').prop(\"checked\",d)}}})}}},\n      462: function _(e,t,o){var l=e(458),n=e(460),a=n.keyCode;t.exports={CellExternalCopyManager:function(e){var t,o,r=this,i=e||{},s=i.copiedCellStyleLayerKey||\"copy-manager\",u=i.copiedCellStyle||\"copied\",c=0,d=i.bodyElement||document.body,f=i.onCopyInit||null,h=i.onCopySuccess||null;function C(e){if(i.headerColumnValueExtractor){var t=i.headerColumnValueExtractor(e);if(t)return t}return e.name}function m(e,o,n){if(i.dataItemColumnValueExtractor){var a=i.dataItemColumnValueExtractor(e,o);if(a)return a}var r=\"\";if(o.editor){var s={container:l(\"<p>\"),column:o,position:{top:0,left:0},grid:t,event:n},u=new o.editor(s);u.loadValue(e),r=u.serializeValue(),u.destroy()}else r=e[o.field];return r}function g(e,o,n){if(o.denyPaste)return null;if(i.dataItemColumnValueSetter)return i.dataItemColumnValueSetter(e,o,n);if(o.editor){var a={container:l(\"body\"),column:o,position:{top:0,left:0},grid:t},r=new o.editor(a);r.loadValue(e),r.applyValue(e,n),r.destroy()}else e[o.field]=n}function p(e){var t=document.createElement(\"textarea\");return t.style.position=\"absolute\",t.style.left=\"-1000px\",t.style.top=document.body.scrollTop+\"px\",t.value=e,d.appendChild(t),t.select(),t}function y(e,l){var n;if(!t.getEditorLock().isActive()||t.getOptions().autoEdit){if(e.which==a.ESC&&o&&(e.preventDefault(),w(),r.onCopyCancelled.notify({ranges:o}),o=null),(e.which===a.C||e.which===a.INSERT)&&(e.ctrlKey||e.metaKey)&&!e.shiftKey&&(f&&f.call(),0!==(n=t.getSelectionModel().getSelectedRanges()).length)){o=n,v(n),r.onCopyCells.notify({ranges:n});for(var s=t.getColumns(),u=\"\",c=0;c<n.length;c++){for(var y=n[c],D=[],S=y.fromRow;S<y.toRow+1;S++){var R=[],x=t.getDataItem(S);if(0===D.length&&i.includeHeaderWhenCopying){for(var E=[],V=y.fromCell;V<y.toCell+1;V++)s[V].name.length>0&&E.push(C(s[V]));D.push(E.join(\"\\t\"))}for(V=y.fromCell;V<y.toCell+1;V++)R.push(m(x,s[V],e));D.push(R.join(\"\\t\"))}u+=D.join(\"\\r\\n\")+\"\\r\\n\"}if(window.clipboardData)return window.clipboardData.setData(\"Text\",u),!0;var b=document.activeElement;if((M=p(u)).focus(),setTimeout((function(){d.removeChild(M),b?b.focus():console.log(\"Not element to restore focus to after copy?\")}),100),h){var I=0;I=1===n.length?n[0].toRow+1-n[0].fromRow:n.length,h.call(this,I)}return!1}if(!i.readOnlyMode&&(e.which===a.V&&(e.ctrlKey||e.metaKey)&&!e.shiftKey||e.which===a.INSERT&&e.shiftKey&&!e.ctrlKey)){var M=p(\"\");return setTimeout((function(){!function(e,t){var o=e.getColumns(),l=t.value.split(/[\\n\\f\\r]/);\"\"===l[l.length-1]&&l.pop();var n=[],a=0;d.removeChild(t);for(var s=0;s<l.length;s++)\"\"!==l[s]?n[a++]=l[s].split(\"\\t\"):n[a++]=[\"\"];var u=e.getActiveCell(),c=e.getSelectionModel().getSelectedRanges(),f=c&&c.length?c[0]:null,h=null,C=null;if(f)h=f.fromRow,C=f.fromCell;else{if(!u)return;h=u.row,C=u.cell}var m=!1,p=n.length,y=n.length?n[0].length:0;1==n.length&&1==n[0].length&&f&&(m=!0,p=f.toRow-f.fromRow+1,y=f.toCell-f.fromCell+1);var w=e.getData().length-h,D=0;if(w<p&&i.newRowCreator){var S=e.getData();for(D=1;D<=p-w;D++)S.push({});e.setData(S),e.render()}var R=h+p>e.getDataLength();if(i.newRowCreator&&R){var x=h+p-e.getDataLength();i.newRowCreator(x)}var E={isClipboardCommand:!0,clippedRange:n,oldValues:[],cellExternalCopyManager:r,_options:i,setDataItemValueForColumn:g,markCopySelection:v,oneCellToMultiple:m,activeRow:h,activeCell:C,destH:p,destW:y,maxDestY:e.getDataLength(),maxDestX:e.getColumns().length,h:0,w:0,execute:function(){this.h=0;for(var t=0;t<this.destH;t++){this.oldValues[t]=[],this.w=0,this.h++;for(var l=0;l<this.destW;l++){this.w++;var a=h+t,r=C+l;if(a<this.maxDestY&&r<this.maxDestX){e.getCellNode(a,r);var i=e.getDataItem(a);this.oldValues[t][l]=i[o[r].field],m?this.setDataItemValueForColumn(i,o[r],n[0][0]):this.setDataItemValueForColumn(i,o[r],n[t]?n[t][l]:\"\"),e.updateCell(a,r),e.onCellChange.notify({row:a,cell:r,item:i,grid:e})}}}var s={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};this.markCopySelection([s]),e.getSelectionModel().setSelectedRanges([s]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[s]})},undo:function(){for(var t=0;t<this.destH;t++)for(var l=0;l<this.destW;l++){var n=h+t,a=C+l;if(n<this.maxDestY&&a<this.maxDestX){e.getCellNode(n,a);var r=e.getDataItem(n);m?this.setDataItemValueForColumn(r,o[a],this.oldValues[0][0]):this.setDataItemValueForColumn(r,o[a],this.oldValues[t][l]),e.updateCell(n,a),e.onCellChange.notify({row:n,cell:a,item:r,grid:e})}}var i={fromCell:C,fromRow:h,toCell:C+this.w-1,toRow:h+this.h-1};if(this.markCopySelection([i]),e.getSelectionModel().setSelectedRanges([i]),this.cellExternalCopyManager.onPasteCells.notify({ranges:[i]}),D>1){for(var s=e.getData();D>1;D--)s.splice(s.length-1,1);e.setData(s),e.render()}}};i.clipboardCommandHandler?i.clipboardCommandHandler(E):E.execute()}(t,M)}),100),!1}}}function v(e){w();for(var o=t.getColumns(),l={},n=0;n<e.length;n++)for(var a=e[n].fromRow;a<=e[n].toRow;a++){l[a]={};for(var i=e[n].fromCell;i<=e[n].toCell&&i<o.length;i++)l[a][o[i].id]=u}t.setCellCssStyles(s,l),clearTimeout(c),c=setTimeout((function(){r.clearCopySelection()}),2e3)}function w(){t.removeCellCssStyles(s)}l.extend(this,{init:function(e){(t=e).onKeyDown.subscribe(y);var o=e.getSelectionModel();if(!o)throw new Error(\"Selection model is mandatory for this plugin. Please set a selection model on the grid before adding this plugin: grid.setSelectionModel(new Slick.CellSelectionModel())\");o.onSelectedRangesChanged.subscribe((function(e,o){t.focus()}))},destroy:function(){t.onKeyDown.unsubscribe(y)},pluginName:\"CellExternalCopyManager\",clearCopySelection:w,handleKeyDown:y,onCopyCells:new n.Event,onCopyCancelled:new n.Event,onPasteCells:new n.Event,setIncludeHeaderWhenCopying:function(e){i.includeHeaderWhenCopying=e}})}}},\n      463: function _(r,t,o){var _=r(1);_.__exportStar(r(460),t.exports),_.__exportStar(r(464),t.exports),_.__exportStar(r(467),t.exports),_.__exportStar(r(468),t.exports),_.__exportStar(r(469),t.exports),_.__exportStar(r(470),t.exports),_.__exportStar(r(471),t.exports)},\n      464: function _(require,module,exports){\n      /**\n           * @license\n           * (c) 2009-2016 Michael Leibman\n           * michael{dot}leibman{at}gmail{dot}com\n           * http://github.com/mleibman/slickgrid\n           *\n           * Distributed under MIT license.\n           * All rights reserved.\n           *\n           * SlickGrid v2.4\n           *\n           * NOTES:\n           *     Cell/row DOM manipulations are done directly bypassing jQuery's DOM manipulation methods.\n           *     This increases the speed dramatically, but can only be done safely because there are no event handlers\n           *     or data associated with any cell/row DOM nodes.  Cell editors must make sure they implement .destroy()\n           *     and do proper cleanup.\n           */\n      var $=require(458),Slick=require(460),scrollbarDimensions,maxSupportedCssHeight;function SlickGrid(container,data,columns,options){$.fn.drag||require(465),$.fn.drop||require(466);var defaults={alwaysShowVerticalScroll:!1,alwaysAllowHorizontalScroll:!1,explicitInitialization:!1,rowHeight:25,defaultColumnWidth:80,enableAddRow:!1,leaveSpaceForNewRows:!1,editable:!1,autoEdit:!0,suppressActiveCellChangeOnEdit:!1,enableCellNavigation:!0,enableColumnReorder:!0,asyncEditorLoading:!1,asyncEditorLoadDelay:100,forceFitColumns:!1,enableAsyncPostRender:!1,asyncPostRenderDelay:50,enableAsyncPostRenderCleanup:!1,asyncPostRenderCleanupDelay:40,autoHeight:!1,editorLock:Slick.GlobalEditorLock,showColumnHeader:!0,showHeaderRow:!1,headerRowHeight:25,createFooterRow:!1,showFooterRow:!1,footerRowHeight:25,createPreHeaderPanel:!1,showPreHeaderPanel:!1,preHeaderPanelHeight:25,showTopPanel:!1,topPanelHeight:25,formatterFactory:null,editorFactory:null,cellFlashingCssClass:\"flashing\",selectedCellCssClass:\"selected\",multiSelect:!0,enableTextSelectionOnCells:!1,dataItemColumnValueExtractor:null,frozenBottom:!1,frozenColumn:-1,frozenRow:-1,fullWidthRows:!1,multiColumnSort:!1,numberedMultiColumnSort:!1,tristateMultiColumnSort:!1,sortColNumberInSeparateSpan:!1,defaultFormatter,forceSyncScrolling:!1,addNewRowCssClass:\"new-row\",preserveCopiedSelectionOnPaste:!1,showCellSelection:!0,viewportClass:null,minRowBuffer:3,emulatePagingWhenScrolling:!0,editorCellNavOnLRKeys:!1,doPaging:!0,autosizeColsMode:Slick.GridAutosizeColsMode.LegacyOff,autosizeColPaddingPx:4,autosizeTextAvgToMWidthRatio:.75,viewportSwitchToScrollModeWidthPercent:void 0,viewportMinWidthPx:void 0,viewportMaxWidthPx:void 0},columnDefaults={name:\"\",resizable:!0,sortable:!1,minWidth:30,maxWidth:void 0,rerenderOnResize:!1,headerCssClass:null,defaultSortAsc:!0,focusable:!0,selectable:!0},columnAutosizeDefaults={ignoreHeaderText:!1,colValueArray:void 0,allowAddlPercent:void 0,formatterOverride:void 0,autosizeMode:Slick.ColAutosizeMode.ContentIntelligent,rowSelectionModeOnInit:void 0,rowSelectionMode:Slick.RowSelectionMode.FirstNRows,rowSelectionCount:100,valueFilterMode:Slick.ValueFilterMode.None,widthEvalMode:Slick.WidthEvalMode.CanvasTextSize,sizeToRemaining:void 0,widthPx:void 0,colDataTypeOf:void 0},th,h,ph,n,cj,page=0,offset=0,vScrollDir=1,initialized=!1,$container,uid=\"slickgrid_\"+Math.round(1e6*Math.random()),self=this,$focusSink,$focusSink2,$groupHeaders=$(),$headerScroller,$headers,$headerRow,$headerRowScroller,$headerRowSpacerL,$headerRowSpacerR,$footerRow,$footerRowScroller,$footerRowSpacerL,$footerRowSpacerR,$preHeaderPanel,$preHeaderPanelScroller,$preHeaderPanelSpacer,$preHeaderPanelR,$preHeaderPanelScrollerR,$preHeaderPanelSpacerR,$topPanelScroller,$topPanel,$viewport,$canvas,$style,$boundAncestors,treeColumns,stylesheet,columnCssRulesL,columnCssRulesR,viewportH,viewportW,canvasWidth,canvasWidthL,canvasWidthR,headersWidth,headersWidthL,headersWidthR,viewportHasHScroll,viewportHasVScroll,headerColumnWidthDiff=0,headerColumnHeightDiff=0,cellWidthDiff=0,cellHeightDiff=0,jQueryNewWidthBehaviour=!1,absoluteColumnMinWidth,hasFrozenRows=!1,frozenRowsHeight=0,actualFrozenRow=-1,paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,topPanelH=0,headerRowH=0,footerRowH=0,tabbingDirection=1,$activeCanvasNode,$activeViewportNode,activePosX,activeRow,activeCell,activeCellNode=null,currentEditor=null,serializedEditorValue,editController,rowsCache={},renderedRows=0,numVisibleRows=0,prevScrollTop=0,scrollTop=0,lastRenderedScrollTop=0,lastRenderedScrollLeft=0,prevScrollLeft=0,scrollLeft=0,selectionModel,selectedRows=[],plugins=[],cellCssClasses={},columnsById={},sortColumns=[],columnPosLeft=[],columnPosRight=[],pagingActive=!1,pagingIsLastPage=!1,scrollThrottle=ActionThrottle(render,50),h_editorLoader=null,h_render=null,h_postrender=null,h_postrenderCleanup=null,postProcessedRows={},postProcessToRow=null,postProcessFromRow=null,postProcessedCleanupQueue=[],postProcessgroupId=0,counter_rows_rendered=0,counter_rows_removed=0,rowNodeFromLastMouseWheelEvent,zombieRowNodeFromLastMouseWheelEvent,zombieRowCacheFromLastMouseWheelEvent,zombieRowPostProcessedFromLastMouseWheelEvent,$paneHeaderL,$paneHeaderR,$paneTopL,$paneTopR,$paneBottomL,$paneBottomR,$headerScrollerL,$headerScrollerR,$headerL,$headerR,$groupHeadersL,$groupHeadersR,$headerRowScrollerL,$headerRowScrollerR,$footerRowScrollerL,$footerRowScrollerR,$headerRowL,$headerRowR,$footerRowL,$footerRowR,$topPanelScrollerL,$topPanelScrollerR,$topPanelL,$topPanelR,$viewportTopL,$viewportTopR,$viewportBottomL,$viewportBottomR,$canvasTopL,$canvasTopR,$canvasBottomL,$canvasBottomR,$viewportScrollContainerX,$viewportScrollContainerY,$headerScrollContainer,$headerRowScrollContainer,$footerRowScrollContainer,cssShow={position:\"absolute\",visibility:\"hidden\",display:\"block\"},$hiddenParents,oldProps=[],columnResizeDragging=!1;function init(){if(($container=container instanceof $?container:$(container)).length<1)throw new Error(\"SlickGrid requires a valid container, \"+container+\" does not exist in the DOM.\");if(cacheCssForHiddenInit(),maxSupportedCssHeight=maxSupportedCssHeight||getMaxSupportedCssHeight(),options=$.extend({},defaults,options),validateAndEnforceOptions(),columnDefaults.width=options.defaultColumnWidth,treeColumns=new Slick.TreeColumns(columns),columns=treeColumns.extractColumns(),updateColumnProps(),options.enableColumnReorder&&!$.fn.sortable)throw new Error(\"SlickGrid's 'enableColumnReorder = true' option requires jquery-ui.sortable module to be loaded\");if(editController={commitCurrentEdit,cancelCurrentEdit},$container.empty().css(\"overflow\",\"hidden\").css(\"outline\",0).addClass(uid).addClass(\"ui-widget\"),/relative|absolute|fixed/.test($container.css(\"position\"))||$container.css(\"position\",\"relative\"),$focusSink=$(\"<div tabIndex='0' hideFocus style='position:fixed;width:0;height:0;top:0;left:0;outline:0;'></div>\").appendTo($container),$paneHeaderL=$(\"<div class='slick-pane slick-pane-header slick-pane-left' tabIndex='0' />\").appendTo($container),$paneHeaderR=$(\"<div class='slick-pane slick-pane-header slick-pane-right' tabIndex='0' />\").appendTo($container),$paneTopL=$(\"<div class='slick-pane slick-pane-top slick-pane-left' tabIndex='0' />\").appendTo($container),$paneTopR=$(\"<div class='slick-pane slick-pane-top slick-pane-right' tabIndex='0' />\").appendTo($container),$paneBottomL=$(\"<div class='slick-pane slick-pane-bottom slick-pane-left' tabIndex='0' />\").appendTo($container),$paneBottomR=$(\"<div class='slick-pane slick-pane-bottom slick-pane-right' tabIndex='0' />\").appendTo($container),options.createPreHeaderPanel&&($preHeaderPanelScroller=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderL),$preHeaderPanel=$(\"<div />\").appendTo($preHeaderPanelScroller),$preHeaderPanelSpacer=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScroller),$preHeaderPanelScrollerR=$(\"<div class='slick-preheader-panel ui-state-default' style='overflow:hidden;position:relative;' />\").appendTo($paneHeaderR),$preHeaderPanelR=$(\"<div />\").appendTo($preHeaderPanelScrollerR),$preHeaderPanelSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($preHeaderPanelScrollerR),options.showPreHeaderPanel||($preHeaderPanelScroller.hide(),$preHeaderPanelScrollerR.hide())),$headerScrollerL=$(\"<div class='slick-header ui-state-default slick-header-left' />\").appendTo($paneHeaderL),$headerScrollerR=$(\"<div class='slick-header ui-state-default slick-header-right' />\").appendTo($paneHeaderR),$headerScroller=$().add($headerScrollerL).add($headerScrollerR),treeColumns.hasDepth()){$groupHeadersL=[],$groupHeadersR=[];for(var e=0;e<treeColumns.getDepth()-1;e++)$groupHeadersL[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$groupHeadersR[e]=$(\"<div class='slick-group-header-columns slick-group-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR);$groupHeaders=$().add($groupHeadersL).add($groupHeadersR)}$headerL=$(\"<div class='slick-header-columns slick-header-columns-left' style='left:-1000px' />\").appendTo($headerScrollerL),$headerR=$(\"<div class='slick-header-columns slick-header-columns-right' style='left:-1000px' />\").appendTo($headerScrollerR),$headers=$().add($headerL).add($headerR),$headerRowScrollerL=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopL),$headerRowScrollerR=$(\"<div class='slick-headerrow ui-state-default' />\").appendTo($paneTopR),$headerRowScroller=$().add($headerRowScrollerL).add($headerRowScrollerR),$headerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerL),$headerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").appendTo($headerRowScrollerR),$headerRowL=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-left' />\").appendTo($headerRowScrollerL),$headerRowR=$(\"<div class='slick-headerrow-columns slick-headerrow-columns-right' />\").appendTo($headerRowScrollerR),$headerRow=$().add($headerRowL).add($headerRowR),$topPanelScrollerL=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopL),$topPanelScrollerR=$(\"<div class='slick-top-panel-scroller ui-state-default' />\").appendTo($paneTopR),$topPanelScroller=$().add($topPanelScrollerL).add($topPanelScrollerR),$topPanelL=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerL),$topPanelR=$(\"<div class='slick-top-panel' style='width:10000px' />\").appendTo($topPanelScrollerR),$topPanel=$().add($topPanelL).add($topPanelR),options.showColumnHeader||$headerScroller.hide(),options.showTopPanel||$topPanelScroller.hide(),options.showHeaderRow||$headerRowScroller.hide(),$viewportTopL=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneTopL),$viewportTopR=$(\"<div class='slick-viewport slick-viewport-top slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneTopR),$viewportBottomL=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-left' tabIndex='0' hideFocus />\").appendTo($paneBottomL),$viewportBottomR=$(\"<div class='slick-viewport slick-viewport-bottom slick-viewport-right' tabIndex='0' hideFocus />\").appendTo($paneBottomR),$viewport=$().add($viewportTopL).add($viewportTopR).add($viewportBottomL).add($viewportBottomR),$activeViewportNode=$viewportTopL,$canvasTopL=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportTopL),$canvasTopR=$(\"<div class='grid-canvas grid-canvas-top grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportTopR),$canvasBottomL=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-left' tabIndex='0' hideFocus />\").appendTo($viewportBottomL),$canvasBottomR=$(\"<div class='grid-canvas grid-canvas-bottom grid-canvas-right' tabIndex='0' hideFocus />\").appendTo($viewportBottomR),options.viewportClass&&$viewport.toggleClass(options.viewportClass,!0),$canvas=$().add($canvasTopL).add($canvasTopR).add($canvasBottomL).add($canvasBottomR),scrollbarDimensions=scrollbarDimensions||measureScrollbar(),$activeCanvasNode=$canvasTopL,$preHeaderPanelSpacer&&$preHeaderPanelSpacer.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headers.width(getHeadersWidth()),$headerRowSpacerL.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),$headerRowSpacerR.css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\"),options.createFooterRow&&($footerRowScrollerR=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopR),$footerRowScrollerL=$(\"<div class='slick-footerrow ui-state-default' />\").appendTo($paneTopL),$footerRowScroller=$().add($footerRowScrollerL).add($footerRowScrollerR),$footerRowSpacerL=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerL),$footerRowSpacerR=$(\"<div style='display:block;height:1px;position:absolute;top:0;left:0;'></div>\").css(\"width\",getCanvasWidth()+scrollbarDimensions.width+\"px\").appendTo($footerRowScrollerR),$footerRowL=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-left' />\").appendTo($footerRowScrollerL),$footerRowR=$(\"<div class='slick-footerrow-columns slick-footerrow-columns-right' />\").appendTo($footerRowScrollerR),$footerRow=$().add($footerRowL).add($footerRowR),options.showFooterRow||$footerRowScroller.hide()),$focusSink2=$focusSink.clone().appendTo($container),options.explicitInitialization||finishInitialization()}function finishInitialization(){initialized||(initialized=!0,getViewportWidth(),getViewportHeight(),measureCellPaddingAndBorder(),disableSelection($headers),options.enableTextSelectionOnCells||$viewport.on(\"selectstart.ui\",(function(e){return $(e.target).is(\"input,textarea\")})),setFrozenOptions(),setPaneVisibility(),setScroller(),setOverflow(),updateColumnCaches(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),setupColumnSort(),createCssRules(),resizeCanvas(),bindAncestorScrollEvents(),$container.on(\"resize.slickgrid\",resizeCanvas),$viewport.on(\"scroll\",handleScroll),$.fn.mousewheel&&$viewport.on(\"mousewheel\",handleMouseWheel),$headerScroller.on(\"contextmenu\",handleHeaderContextMenu).on(\"click\",handleHeaderClick).on(\"mouseenter\",\".slick-header-column\",handleHeaderMouseEnter).on(\"mouseleave\",\".slick-header-column\",handleHeaderMouseLeave),$headerRowScroller.on(\"scroll\",handleHeaderRowScroll),options.createFooterRow&&($footerRow.on(\"contextmenu\",handleFooterContextMenu).on(\"click\",handleFooterClick),$footerRowScroller.on(\"scroll\",handleFooterRowScroll)),options.createPreHeaderPanel&&$preHeaderPanelScroller.on(\"scroll\",handlePreHeaderPanelScroll),$focusSink.add($focusSink2).on(\"keydown\",handleKeyDown),$canvas.on(\"keydown\",handleKeyDown).on(\"click\",handleClick).on(\"dblclick\",handleDblClick).on(\"contextmenu\",handleContextMenu).on(\"draginit\",handleDragInit).on(\"dragstart\",{distance:3},handleDragStart).on(\"drag\",handleDrag).on(\"dragend\",handleDragEnd).on(\"mouseenter\",\".slick-cell\",handleMouseEnter).on(\"mouseleave\",\".slick-cell\",handleMouseLeave),restoreCssFromHiddenInit())}function cacheCssForHiddenInit(){($hiddenParents=$container.parents().addBack().not(\":visible\")).each((function(){var e={};for(var o in cssShow)e[o]=this.style[o],this.style[o]=cssShow[o];oldProps.push(e)}))}function restoreCssFromHiddenInit(){$hiddenParents.each((function(e){var o=oldProps[e];for(var t in cssShow)this.style[t]=o[t]}))}function hasFrozenColumns(){return options.frozenColumn>-1}function registerPlugin(e){plugins.unshift(e),e.init(self)}function unregisterPlugin(e){for(var o=plugins.length;o>=0;o--)if(plugins[o]===e){plugins[o].destroy&&plugins[o].destroy(),plugins.splice(o,1);break}}function getPluginByName(e){for(var o=plugins.length-1;o>=0;o--)if(plugins[o].pluginName===e)return plugins[o]}function setSelectionModel(e){selectionModel&&(selectionModel.onSelectedRangesChanged.unsubscribe(handleSelectedRangesChanged),selectionModel.destroy&&selectionModel.destroy()),(selectionModel=e)&&(selectionModel.init(self),selectionModel.onSelectedRangesChanged.subscribe(handleSelectedRangesChanged))}function getSelectionModel(){return selectionModel}function getCanvasNode(e,o){e||(e=0),o||(o=0);var t=\"number\"==typeof e?e:getColumnIndex(e);return hasFrozenRows&&o>=actualFrozenRow+(options.frozenBottom?0:1)?hasFrozenColumns()&&t>options.frozenColumn?$canvasBottomR[0]:$canvasBottomL[0]:hasFrozenColumns()&&t>options.frozenColumn?$canvasTopR[0]:$canvasTopL[0]}function getActiveCanvasNode(e){return setActiveCanvasNode(e),$activeCanvasNode[0]}function getCanvases(){return $canvas}function setActiveCanvasNode(e){e&&($activeCanvasNode=$(e.target).closest(\".grid-canvas\"))}function getViewportNode(){return $viewport[0]}function getActiveViewportNode(e){return setActiveViewPortNode(e),$activeViewportNode[0]}function setActiveViewportNode(e){e&&($activeViewportNode=$(e.target).closest(\".slick-viewport\"))}function measureScrollbar(){var e=$('<div class=\"'+$viewport.className+'\" style=\"position:absolute; top:-10000px; left:-10000px; overflow:auto; width:100px; height:100px;\"></div>').appendTo(\"body\"),o=$('<div style=\"width:200px; height:200px; overflow:auto;\"></div>').appendTo(e),t={width:e[0].offsetWidth-e[0].clientWidth,height:e[0].offsetHeight-e[0].clientHeight};return o.remove(),e.remove(),t}function getHeadersWidth(){headersWidth=headersWidthL=headersWidthR=0;for(var e=!options.autoHeight,o=0,t=columns.length;o<t;o++){var n=columns[o].width;options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=n:headersWidthL+=n}return e&&(options.frozenColumn>-1&&o>options.frozenColumn?headersWidthR+=scrollbarDimensions.width:headersWidthL+=scrollbarDimensions.width),hasFrozenColumns()?(headersWidthL+=1e3,headersWidthR=Math.max(headersWidthR,viewportW)+headersWidthL,headersWidthR+=scrollbarDimensions.width):(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidth=headersWidthL+headersWidthR,Math.max(headersWidth,viewportW)+1e3}function getHeadersWidthL(){return headersWidthL=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn||(headersWidthL+=e.width)})),hasFrozenColumns()?headersWidthL+=1e3:(headersWidthL+=scrollbarDimensions.width,headersWidthL=Math.max(headersWidthL,viewportW)+1e3),headersWidthL}function getHeadersWidthR(){return headersWidthR=0,columns.forEach((function(e,o){options.frozenColumn>-1&&o>options.frozenColumn&&(headersWidthR+=e.width)})),hasFrozenColumns()&&(headersWidthR=Math.max(headersWidthR,viewportW)+getHeadersWidthL(),headersWidthR+=scrollbarDimensions.width),headersWidthR}function getCanvasWidth(){var e=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,o=columns.length;for(canvasWidthL=canvasWidthR=0;o--;)hasFrozenColumns()&&o>options.frozenColumn?canvasWidthR+=columns[o].width:canvasWidthL+=columns[o].width;var t=canvasWidthL+canvasWidthR;return options.fullWidthRows?Math.max(t,e):t}function updateCanvasWidth(e){var o,t=canvasWidth,n=canvasWidthL,l=canvasWidthR;((o=(canvasWidth=getCanvasWidth())!==t||canvasWidthL!==n||canvasWidthR!==l)||hasFrozenColumns()||hasFrozenRows)&&($canvasTopL.width(canvasWidthL),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),hasFrozenColumns()?($canvasTopR.width(canvasWidthR),$paneHeaderL.width(canvasWidthL),$paneHeaderR.css(\"left\",canvasWidthL),$paneHeaderR.css(\"width\",viewportW-canvasWidthL),$paneTopL.width(canvasWidthL),$paneTopR.css(\"left\",canvasWidthL),$paneTopR.css(\"width\",viewportW-canvasWidthL),$headerRowScrollerL.width(canvasWidthL),$headerRowScrollerR.width(viewportW-canvasWidthL),$headerRowL.width(canvasWidthL),$headerRowR.width(canvasWidthR),options.createFooterRow&&($footerRowScrollerL.width(canvasWidthL),$footerRowScrollerR.width(viewportW-canvasWidthL),$footerRowL.width(canvasWidthL),$footerRowR.width(canvasWidthR)),options.createPreHeaderPanel&&$preHeaderPanel.width(canvasWidth),$viewportTopL.width(canvasWidthL),$viewportTopR.width(viewportW-canvasWidthL),hasFrozenRows&&($paneBottomL.width(canvasWidthL),$paneBottomR.css(\"left\",canvasWidthL),$viewportBottomL.width(canvasWidthL),$viewportBottomR.width(viewportW-canvasWidthL),$canvasBottomL.width(canvasWidthL),$canvasBottomR.width(canvasWidthR))):($paneHeaderL.width(\"100%\"),$paneTopL.width(\"100%\"),$headerRowScrollerL.width(\"100%\"),$headerRowL.width(canvasWidth),options.createFooterRow&&($footerRowScrollerL.width(\"100%\"),$footerRowL.width(canvasWidth)),options.createPreHeaderPanel&&($preHeaderPanel.width(\"100%\"),$preHeaderPanel.width(canvasWidth)),$viewportTopL.width(\"100%\"),hasFrozenRows&&($viewportBottomL.width(\"100%\"),$canvasBottomL.width(canvasWidthL))),viewportHasHScroll=canvasWidth>viewportW-scrollbarDimensions.width),$headerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$headerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),options.createFooterRow&&($footerRowSpacerL.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0)),$footerRowSpacerR.width(canvasWidth+(viewportHasVScroll?scrollbarDimensions.width:0))),(o||e)&&applyColumnWidths()}function disableSelection(e){e&&e.jquery&&e.attr(\"unselectable\",\"on\").css(\"MozUserSelect\",\"none\").on(\"selectstart.ui\",(function(){return!1}))}function getMaxSupportedCssHeight(){for(var e=1e6,o=navigator.userAgent.toLowerCase().match(/firefox/)?6e6:1e9,t=$(\"<div style='display:none' />\").appendTo(document.body);;){var n=2*e;if(t.css(\"height\",n),n>o||t.height()!==n)break;e=n}return t.remove(),e}function getUID(){return uid}function getHeaderColumnWidthDiff(){return headerColumnWidthDiff}function getScrollbarDimensions(){return scrollbarDimensions}function bindAncestorScrollEvents(){for(var e=hasFrozenRows&&!options.frozenBottom?$canvasBottomL[0]:$canvasTopL[0];(e=e.parentNode)!=document.body&&null!=e;)if(e==$viewportTopL[0]||e.scrollWidth!=e.clientWidth||e.scrollHeight!=e.clientHeight){var o=$(e);$boundAncestors=$boundAncestors?$boundAncestors.add(o):o,o.on(\"scroll.\"+uid,handleActiveCellPositionChange)}}function unbindAncestorScrollEvents(){$boundAncestors&&($boundAncestors.off(\"scroll.\"+uid),$boundAncestors=null)}function updateColumnHeader(e,o,t){if(initialized){var n=getColumnIndex(e);if(null!=n){var l=columns[n],r=$headers.children().eq(n);r&&(void 0!==o&&(columns[n].name=o),void 0!==t&&(columns[n].toolTip=t),trigger(self.onBeforeHeaderCellDestroy,{node:r[0],column:l,grid:self}),r.attr(\"title\",t||\"\").children().eq(0).html(o),trigger(self.onHeaderCellRendered,{node:r[0],column:l,grid:self}))}}}function getHeader(e){if(!e)return hasFrozenColumns()?$headers:$headerL;var o=getColumnIndex(e.id);return hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL}function getHeaderColumn(e){var o=\"number\"==typeof e?e:getColumnIndex(e),t=hasFrozenColumns()?o<=options.frozenColumn?$headerL:$headerR:$headerL,n=hasFrozenColumns()?o<=options.frozenColumn?o:o-options.frozenColumn-1:o,l=t.children().eq(n);return l&&l[0]}function getHeaderRow(){return hasFrozenColumns()?$headerRow:$headerRow[0]}function getFooterRow(){return hasFrozenColumns()?$footerRow:$footerRow[0]}function getPreHeaderPanel(){return $preHeaderPanel[0]}function getPreHeaderPanelRight(){return $preHeaderPanelR[0]}function getHeaderRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$headerRowL:(o=$headerRowR,t-=options.frozenColumn+1):o=$headerRowL;var n=o.children().eq(t);return n&&n[0]}function getFooterRowColumn(e){var o,t=\"number\"==typeof e?e:getColumnIndex(e);hasFrozenColumns()?t<=options.frozenColumn?o=$footerRowL:(o=$footerRowR,t-=options.frozenColumn+1):o=$footerRowL;var n=o&&o.children().eq(t);return n&&n[0]}function createColumnFooter(){if(options.createFooterRow){$footerRow.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),$footerRowR.empty();for(var e=0;e<columns.length;e++){var o=columns[e],t=$(\"<div class='ui-state-default slick-footerrow-column l\"+e+\" r\"+e+\"'></div>\").data(\"column\",o).addClass(hasFrozenColumns()&&e<=options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e>options.frozenColumn?$footerRowR:$footerRowL);trigger(self.onFooterRowCellRendered,{node:t[0],column:o,grid:self})}}}function createColumnGroupHeaders(){var e=0,o=!1;if(treeColumns.hasDepth()){for(var t=0;t<$groupHeadersL.length;t++){$groupHeadersL[t].empty(),$groupHeadersR[t].empty();var n=treeColumns.getColumnsInDepth(t);for(var l in n){var r=n[l];e+=r.extractColumns().length,hasFrozenColumns()&&0===t&&e-1===options.frozenColumn&&(o=!0),$(\"<div class='ui-state-default slick-group-header-column' />\").html(\"<span class='slick-column-name'>\"+r.name+\"</span>\").attr(\"id\",\"\"+uid+r.id).attr(\"title\",r.toolTip||\"\").data(\"column\",r).addClass(r.headerCssClass||\"\").addClass(hasFrozenColumns()&&e-1>options.frozenColumn?\"frozen\":\"\").appendTo(hasFrozenColumns()&&e-1>options.frozenColumn?$groupHeadersR[t]:$groupHeadersL[t])}if(hasFrozenColumns()&&0===t&&!o){$groupHeadersL[t].empty(),$groupHeadersR[t].empty(),alert(\"All columns of group should to be grouped!\");break}}applyColumnGroupHeaderWidths()}}function createColumnHeaders(){function e(){$(this).addClass(\"ui-state-hover\")}function o(){$(this).removeClass(\"ui-state-hover\")}$headers.find(\".slick-header-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderCellDestroy,{node:this,column:e,grid:self})})),$headerL.empty(),$headerR.empty(),getHeadersWidth(),$headerL.width(headersWidthL),$headerR.width(headersWidthR),$headerRow.find(\".slick-headerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeHeaderRowCellDestroy,{node:this,column:e,grid:self})})),$headerRowL.empty(),$headerRowR.empty(),options.createFooterRow&&($footerRowL.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowL.empty(),hasFrozenColumns()&&($footerRowR.find(\".slick-footerrow-column\").each((function(){var e=$(this).data(\"column\");e&&trigger(self.onBeforeFooterRowCellDestroy,{node:this,column:e,grid:self})})),$footerRowR.empty()));for(var t=0;t<columns.length;t++){var n=columns[t],l=hasFrozenColumns()?t<=options.frozenColumn?$headerL:$headerR:$headerL,r=hasFrozenColumns()?t<=options.frozenColumn?$headerRowL:$headerRowR:$headerRowL,i=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+n.name+\"</span>\").width(n.width-headerColumnWidthDiff).attr(\"id\",\"\"+uid+n.id).attr(\"title\",n.toolTip||\"\").data(\"column\",n).addClass(n.headerCssClass||\"\").addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(l);if((options.enableColumnReorder||n.sortable)&&i.on(\"mouseenter\",e).on(\"mouseleave\",o),n.hasOwnProperty(\"headerCellAttrs\")&&n.headerCellAttrs instanceof Object)for(var a in n.headerCellAttrs)n.headerCellAttrs.hasOwnProperty(a)&&i.attr(a,n.headerCellAttrs[a]);if(n.sortable&&(i.addClass(\"slick-header-sortable\"),i.append(\"<span class='slick-sort-indicator\"+(options.numberedMultiColumnSort&&!options.sortColNumberInSeparateSpan?\" slick-sort-indicator-numbered\":\"\")+\"' />\"),options.numberedMultiColumnSort&&options.sortColNumberInSeparateSpan&&i.append(\"<span class='slick-sort-indicator-numbered' />\")),trigger(self.onHeaderCellRendered,{node:i[0],column:n,grid:self}),options.showHeaderRow){var s=$(\"<div class='ui-state-default slick-headerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).addClass(hasFrozenColumns()&&t<=options.frozenColumn?\"frozen\":\"\").appendTo(r);trigger(self.onHeaderRowCellRendered,{node:s[0],column:n,grid:self})}if(options.createFooterRow&&options.showFooterRow){var d=$(\"<div class='ui-state-default slick-footerrow-column l\"+t+\" r\"+t+\"'></div>\").data(\"column\",n).appendTo($footerRow);trigger(self.onFooterRowCellRendered,{node:d[0],column:n,grid:self})}}setSortColumns(sortColumns),setupColumnResize(),options.enableColumnReorder&&(\"function\"==typeof options.enableColumnReorder?options.enableColumnReorder(self,$headers,headerColumnWidthDiff,setColumns,setupColumnResize,columns,getColumnIndex,uid,trigger):setupColumnReorder())}function setupColumnSort(){$headers.click((function(e){if(!columnResizeDragging&&(e.metaKey=e.metaKey||e.ctrlKey,!$(e.target).hasClass(\"slick-resizable-handle\"))){var o=$(e.target).closest(\".slick-header-column\");if(o.length){var t=o.data(\"column\");if(t.sortable){if(!getEditorLock().commitCurrentEdit())return;for(var n=null,l=0;l<sortColumns.length;l++)if(sortColumns[l].columnId==t.id){(n=sortColumns[l]).sortAsc=!n.sortAsc;break}var r=!!n;options.tristateMultiColumnSort?(n||(n={columnId:t.id,sortAsc:t.defaultSortAsc}),r&&n.sortAsc&&(sortColumns.splice(l,1),n=null),options.multiColumnSort||(sortColumns=[]),!n||r&&options.multiColumnSort||sortColumns.push(n)):e.metaKey&&options.multiColumnSort?n&&sortColumns.splice(l,1):((e.shiftKey||e.metaKey)&&options.multiColumnSort||(sortColumns=[]),n?0===sortColumns.length&&sortColumns.push(n):(n={columnId:t.id,sortAsc:t.defaultSortAsc},sortColumns.push(n))),setSortColumns(sortColumns),options.multiColumnSort?trigger(self.onSort,{multiColumnSort:!0,sortCols:$.map(sortColumns,(function(e){return{columnId:columns[getColumnIndex(e.columnId)].id,sortCol:columns[getColumnIndex(e.columnId)],sortAsc:e.sortAsc}}))},e):trigger(self.onSort,{multiColumnSort:!1,columnId:sortColumns.length>0?t.id:null,sortCol:sortColumns.length>0?t:null,sortAsc:!(sortColumns.length>0)||sortColumns[0].sortAsc},e)}}}}))}function currentPositionInHeader(e){var o=0;return $headers.find(\".slick-header-column\").each((function(t){if(this.id==e)return o=t,!1})),o}function limitPositionInGroup(e){var o,t=0,n=0;return treeColumns.getColumnsInDepth($groupHeadersL.length-1).some((function(l){return t=n,n+=l.columns.length,l.columns.some((function(t){return t.id===e&&(o=l),o})),o})),n--,{start:t,end:n,group:o}}function remove(e,o){var t=e.lastIndexOf(o);t>-1&&(e.splice(t,1),remove(e,o))}function columnPositionValidInGroup(e){var o=currentPositionInHeader(e[0].id),t=limitPositionInGroup(e.data(\"column\").id),n=t.start<=o&&o<=t.end;return{limit:t,valid:n,message:n?\"\":'Column \"'.concat(e.text(),'\" can be reordered only within the \"',t.group.name,'\" group!')}}function setupColumnReorder(){$headers.filter(\":ui-sortable\").sortable(\"destroy\");var e,o=null;function t(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft+10}function n(){$viewportScrollContainerX[0].scrollLeft=$viewportScrollContainerX[0].scrollLeft-10}$headers.sortable({containment:\"parent\",distance:3,axis:\"x\",cursor:\"default\",tolerance:\"intersection\",helper:\"clone\",placeholder:\"slick-sortable-placeholder ui-state-default slick-header-column\",start:function(o,t){t.placeholder.width(t.helper.outerWidth()-headerColumnWidthDiff),e=!hasFrozenColumns()||t.placeholder.offset().left+t.placeholder.width()>$viewportScrollContainerX.offset().left,$(t.helper).addClass(\"slick-header-column-active\")},beforeStop:function(e,o){$(o.helper).removeClass(\"slick-header-column-active\")},sort:function(l,r){e&&l.originalEvent.pageX>$container[0].clientWidth?o||(o=setInterval(t,100)):e&&l.originalEvent.pageX<$viewportScrollContainerX.offset().left?o||(o=setInterval(n,100)):(clearInterval(o),o=null)},stop:function(e,t){var n=!1;clearInterval(o),o=null;var l=null;if(treeColumns.hasDepth()){var r=columnPositionValidInGroup(t.item);l=r.limit,(n=!r.valid)&&alert(r.message)}if(!n&&getEditorLock().commitCurrentEdit()){var i=$headerL.sortable(\"toArray\");i=i.concat($headerR.sortable(\"toArray\"));for(var a=[],s=0;s<i.length;s++)a.push(columns[getColumnIndex(i[s].replace(uid,\"\"))]);setColumns(a),trigger(self.onColumnsReordered,{impactedColumns:getImpactedColumns(l)}),e.stopPropagation(),setupColumnResize()}else $(this).sortable(\"cancel\")}})}function getImpactedColumns(e){var o=[];if(e)for(var t=e.start;t<=e.end;t++)o.push(columns[t]);else o=columns;return o}function setupColumnResize(){var e,o,t,n,l,r,i,a,s;(l=$headers.children()).find(\".slick-resizable-handle\").remove(),l.each((function(e,o){e>=columns.length||columns[e].resizable&&(void 0===a&&(a=e),s=e)})),void 0!==a&&l.each((function(d,c){d>=columns.length||d<a||options.forceFitColumns&&d>=s||($(c),$(\"<div class='slick-resizable-handle' />\").appendTo(c).on(\"dragstart\",(function(o,a){if(!getEditorLock().commitCurrentEdit())return!1;n=o.pageX,$(this).parent().addClass(\"slick-header-column-active\");var s=null,c=null;if(l.each((function(e,o){e>=columns.length||(columns[e].previousWidth=$(o).outerWidth())})),options.forceFitColumns)for(s=0,c=0,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(null!==c&&(t.maxWidth?c+=t.maxWidth-t.previousWidth:c=null),s+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));var u=0,h=0;for(e=0;e<=d;e++)(t=columns[e]).resizable&&(null!==h&&(t.maxWidth?h+=t.maxWidth-t.previousWidth:h=null),u+=t.previousWidth-Math.max(t.minWidth||0,absoluteColumnMinWidth));null===s&&(s=1e5),null===u&&(u=1e5),null===c&&(c=1e5),null===h&&(h=1e5),i=n+Math.min(s,h),r=n-Math.min(u,c)})).on(\"drag\",(function(l,a){columnResizeDragging=!0;var s,c,u=Math.min(i,Math.max(r,l.pageX))-n,h=0;if(u<0){for(c=u,e=d;e>=0;e--)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0))}else{for(c=u,h=0,0,e=d;e>=0;e--)(t=columns[e]).resizable&&(c&&t.maxWidth&&t.maxWidth-t.previousWidth<c?(c-=t.maxWidth-t.previousWidth,t.width=t.maxWidth):(t.width=t.previousWidth+c,c=0));for(o=0;o<=d;o++)t=columns[o],hasFrozenColumns()&&o>options.frozenColumn?t.width:h+=t.width;if(options.forceFitColumns)for(c=-u,e=d+1;e<columns.length;e++)(t=columns[e]).resizable&&(s=Math.max(t.minWidth||0,absoluteColumnMinWidth),c&&t.previousWidth+c<s?(c+=t.previousWidth-s,t.width=s):(t.width=t.previousWidth+c,c=0),hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width);else for(e=d+1;e<columns.length;e++)t=columns[e],hasFrozenColumns()&&e>options.frozenColumn?t.width:h+=t.width}hasFrozenColumns()&&h!=canvasWidthL&&($headerL.width(h+1e3),$paneHeaderR.css(\"left\",h)),applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),options.syncColumnCellResize&&applyColumnWidths(),trigger(self.onColumnsDrag,{triggeredByColumn:$(this).parent().attr(\"id\").replace(uid,\"\"),resizeHandle:$(this)})})).on(\"dragend\",(function(o,n){$(this).parent().removeClass(\"slick-header-column-active\");var r,i=$(this).parent().attr(\"id\").replace(uid,\"\");for(!0===trigger(self.onBeforeColumnsResize,{triggeredByColumn:i})&&(applyColumnHeaderWidths(),applyColumnGroupHeaderWidths()),e=0;e<columns.length;e++)t=columns[e],r=$(l[e]).outerWidth(),t.previousWidth!==r&&t.rerenderOnResize&&invalidateAllRows();updateCanvasWidth(!0),render(),trigger(self.onColumnsResized,{triggeredByColumn:i}),setTimeout((function(){columnResizeDragging=!1}),300)})))}))}function getVBoxDelta(e){var o=0;return e&&\"function\"==typeof e.css&&$.each([\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],(function(t,n){o+=parseFloat(e.css(n))||0})),o}function setFrozenOptions(){if(options.frozenColumn=options.frozenColumn>=0&&options.frozenColumn<columns.length?parseInt(options.frozenColumn):-1,options.frozenRow>-1){hasFrozenRows=!0,frozenRowsHeight=options.frozenRow*options.rowHeight;var e=getDataLength();actualFrozenRow=options.frozenBottom?e-options.frozenRow:options.frozenRow}else hasFrozenRows=!1}function setPaneVisibility(){hasFrozenColumns()?($paneHeaderR.show(),$paneTopR.show(),hasFrozenRows?($paneBottomL.show(),$paneBottomR.show()):($paneBottomR.hide(),$paneBottomL.hide())):($paneHeaderR.hide(),$paneTopR.hide(),$paneBottomR.hide(),hasFrozenRows?$paneBottomL.show():($paneBottomR.hide(),$paneBottomL.hide()))}function setOverflow(){$viewportTopL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportTopR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"scroll\":hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"hidden\":\"auto\",\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),hasFrozenRows?\"scroll\":\"auto\")}),$viewportBottomL.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":hasFrozenColumns()?\"hidden\":hasFrozenRows?\"scroll\":\"auto\"}),$viewportBottomR.css({\"overflow-x\":hasFrozenColumns()?hasFrozenRows&&!options.alwaysAllowHorizontalScroll?\"scroll\":\"auto\":(hasFrozenRows&&options.alwaysAllowHorizontalScroll,\"auto\"),\"overflow-y\":options.alwaysShowVerticalScroll?\"scroll\":(hasFrozenColumns(),\"auto\")}),options.viewportClass&&($viewportTopL.toggleClass(options.viewportClass,!0),$viewportTopR.toggleClass(options.viewportClass,!0),$viewportBottomL.toggleClass(options.viewportClass,!0),$viewportBottomR.toggleClass(options.viewportClass,!0))}function setScroller(){hasFrozenColumns()?($headerScrollContainer=$headerScrollerR,$headerRowScrollContainer=$headerRowScrollerR,$footerRowScrollContainer=$footerRowScrollerR,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomR,$viewportScrollContainerY=$viewportTopR):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomR:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopR):($headerScrollContainer=$headerScrollerL,$headerRowScrollContainer=$headerRowScrollerL,$footerRowScrollContainer=$footerRowScrollerL,hasFrozenRows?options.frozenBottom?($viewportScrollContainerX=$viewportBottomL,$viewportScrollContainerY=$viewportTopL):$viewportScrollContainerX=$viewportScrollContainerY=$viewportBottomL:$viewportScrollContainerX=$viewportScrollContainerY=$viewportTopL)}function measureCellPaddingAndBorder(){var e,o=[\"borderLeftWidth\",\"borderRightWidth\",\"paddingLeft\",\"paddingRight\"],t=[\"borderTopWidth\",\"borderBottomWidth\",\"paddingTop\",\"paddingBottom\"],n=$.fn.jquery.split(\".\");jQueryNewWidthBehaviour=1==n[0]&&n[1]>=8||n[0]>=2,e=$(\"<div class='ui-state-default slick-header-column' style='visibility:hidden'>-</div>\").appendTo($headers),headerColumnWidthDiff=headerColumnHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){headerColumnWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){headerColumnHeightDiff+=parseFloat(e.css(t))||0}))),e.remove();var l=$(\"<div class='slick-row' />\").appendTo($canvas);e=$(\"<div class='slick-cell' id='' style='visibility:hidden'>-</div>\").appendTo(l),cellWidthDiff=cellHeightDiff=0,\"border-box\"!=e.css(\"box-sizing\")&&\"border-box\"!=e.css(\"-moz-box-sizing\")&&\"border-box\"!=e.css(\"-webkit-box-sizing\")&&($.each(o,(function(o,t){cellWidthDiff+=parseFloat(e.css(t))||0})),$.each(t,(function(o,t){cellHeightDiff+=parseFloat(e.css(t))||0}))),l.remove(),absoluteColumnMinWidth=Math.max(headerColumnWidthDiff,cellWidthDiff)}function createCssRules(){$style=$(\"<style type='text/css' rel='stylesheet' />\").appendTo($(\"head\"));for(var e=options.rowHeight-cellHeightDiff,o=[\".\"+uid+\" .slick-group-header-column { left: 1000px; }\",\".\"+uid+\" .slick-header-column { left: 1000px; }\",\".\"+uid+\" .slick-top-panel { height:\"+options.topPanelHeight+\"px; }\",\".\"+uid+\" .slick-preheader-panel { height:\"+options.preHeaderPanelHeight+\"px; }\",\".\"+uid+\" .slick-headerrow-columns { height:\"+options.headerRowHeight+\"px; }\",\".\"+uid+\" .slick-footerrow-columns { height:\"+options.footerRowHeight+\"px; }\",\".\"+uid+\" .slick-cell { height:\"+e+\"px; }\",\".\"+uid+\" .slick-row { height:\"+options.rowHeight+\"px; }\"],t=0;t<columns.length;t++)o.push(\".\"+uid+\" .l\"+t+\" { }\"),o.push(\".\"+uid+\" .r\"+t+\" { }\");$style[0].styleSheet?$style[0].styleSheet.cssText=o.join(\" \"):$style[0].appendChild(document.createTextNode(o.join(\" \")))}function getColumnCssRules(e){var o;if(!stylesheet){var t=document.styleSheets;for(o=0;o<t.length;o++)if((t[o].ownerNode||t[o].owningElement)==$style[0]){stylesheet=t[o];break}if(!stylesheet)throw new Error(\"Cannot find stylesheet.\");columnCssRulesL=[],columnCssRulesR=[];var n,l,r=stylesheet.cssRules||stylesheet.rules;for(o=0;o<r.length;o++){var i=r[o].selectorText;(n=/\\.l\\d+/.exec(i))?(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesL[l]=r[o]):(n=/\\.r\\d+/.exec(i))&&(l=parseInt(n[0].substr(2,n[0].length-2),10),columnCssRulesR[l]=r[o])}}return{left:columnCssRulesL[e],right:columnCssRulesR[e]}}function removeCssRules(){$style.remove(),stylesheet=null}function destroy(){getEditorLock().cancelCurrentEdit(),trigger(self.onBeforeDestroy,{});for(var e=plugins.length;e--;)unregisterPlugin(plugins[e]);options.enableColumnReorder&&$headers.filter(\":ui-sortable\").sortable(\"destroy\"),unbindAncestorScrollEvents(),$container.off(\".slickgrid\"),removeCssRules(),$canvas.off(\"draginit dragstart dragend drag\"),$container.empty().removeClass(uid)}var canvas=null,canvas_context=null;function autosizeColumn(e,o){var t=e;if(\"number\"==typeof e)t=columns[e];else if(\"string\"==typeof e)for(var n=0;n<columns.length;n++)columns[n].Id===e&&(t=columns[n]);getColAutosizeWidth(t,$(getCanvasNode(0,0)),o)}function autosizeColumns(e,o){if((e=e||options.autosizeColsMode)!==Slick.GridAutosizeColsMode.LegacyForceFit&&e!==Slick.GridAutosizeColsMode.LegacyOff){if(e!==Slick.GridAutosizeColsMode.None){(canvas=document.createElement(\"canvas\"))&&canvas.getContext&&(canvas_context=canvas.getContext(\"2d\"));var t,n,l,r,i=$(getCanvasNode(0,0)),a=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW,s=0,d=0,c=0,u=0,h=0;for(t=0;t<columns.length;t++)getColAutosizeWidth(n=columns[t],i,o),h+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:0,u+=n.autoSize.autosizeMode===Slick.ColAutosizeMode.Locked?n.width:n.minWidth,s+=n.autoSize.widthPx,d+=n.autoSize.sizeToRemaining?0:n.autoSize.widthPx,c+=n.autoSize.sizeToRemaining&&n.minWidth||0;var p=s-d;if(e===Slick.GridAutosizeColsMode.FitViewportToCols){var m=s+scrollbarDimensions.width;e=Slick.GridAutosizeColsMode.IgnoreViewport,options.viewportMaxWidthPx&&m>options.viewportMaxWidthPx?(m=options.viewportMaxWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport):options.viewportMinWidthPx&&m<options.viewportMinWidthPx&&(m=options.viewportMinWidthPx,e=Slick.GridAutosizeColsMode.FitColsToViewport),$container.width(m)}if(e===Slick.GridAutosizeColsMode.FitColsToViewport)if(p>0&&d<a-c)for(t=0;t<columns.length;t++){var w=a-d;l=(n=columns[t]).autoSize.sizeToRemaining?w*n.autoSize.widthPx/p:n.autoSize.widthPx,n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}else if(options.viewportSwitchToScrollModeWidthPercent&&d+c>a*options.viewportSwitchToScrollModeWidthPercent/100||u>a)e=Slick.GridAutosizeColsMode.IgnoreViewport;else{var v=d-h,f=a-h-c;for(t=0;t<columns.length;t++)l=(n=columns[t]).width,n.autoSize.autosizeMode!==Slick.ColAutosizeMode.Locked&&(n.autoSize.sizeToRemaining?l=n.minWidth:((l=f/v*n.autoSize.widthPx)<n.minWidth&&(l=n.minWidth),v-=n.autoSize.widthPx,f-=l)),n.rerenderOnResize&&n.width!=l&&(r=!0),n.width=l}if(e===Slick.GridAutosizeColsMode.IgnoreViewport)for(t=0;t<columns.length;t++)l=columns[t].autoSize.widthPx,columns[t].rerenderOnResize&&columns[t].width!=l&&(r=!0),columns[t].width=l;reRenderColumns(r)}}else legacyAutosizeColumns()}function LogColWidths(){for(var e=\"Col Widths:\",o=0;o<columns.length;o++)e+=\" \"+columns[o].width;console.log(e)}function getColAutosizeWidth(e,o,t){var n=e.autoSize;if(n.widthPx=e.width,n.autosizeMode!==Slick.ColAutosizeMode.Locked&&n.autosizeMode!==Slick.ColAutosizeMode.Guide){var l=getDataLength();if(n.autosizeMode===Slick.ColAutosizeMode.ContentIntelligent){var r,i=n.colDataTypeOf;if(l>0){var a=getDataItem(0);a&&\"object\"===(i=typeof(r=a[e.field]))&&(r instanceof Date&&(i=\"date\"),\"undefined\"!=typeof moment&&r instanceof moment&&(i=\"moment\"))}\"boolean\"===i&&(n.colValueArray=[!0,!1]),\"number\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetGreatestAndSub,n.rowSelectionMode=Slick.RowSelectionMode.AllRows),\"string\"===i&&(n.valueFilterMode=Slick.ValueFilterMode.GetLongestText,n.rowSelectionMode=Slick.RowSelectionMode.AllRows,n.allowAddlPercent=5),\"date\"===i&&(n.colValueArray=[new Date(2009,8,30,12,20,20)]),\"moment\"===i&&\"undefined\"!=typeof moment&&(n.colValueArray=[moment([2009,8,30,12,20,20])])}var s=getColContentSize(e,o,t);s=s*(n.allowAddlPercent?1+n.allowAddlPercent/100:1)+options.autosizeColPaddingPx,e.minWidth&&s<e.minWidth&&(s=e.minWidth),e.maxWidth&&s>e.maxWidth&&(s=e.maxWidth),n.widthPx=s}}function getColContentSize(e,o,t){var n,l=e.autoSize,r=1,i=0,a=0;if(l.ignoreHeaderText||(a=getColHeaderWidth(e)),l.colValueArray)return i=getColWidth(e,o,l.colValueArray),Math.max(a,i);var s=getData();s.getItems&&(s=s.getItems());var d=(t?l.rowSelectionModeOnInit:void 0)||l.rowSelectionMode;if(d===Slick.RowSelectionMode.FirstRow&&(s=s.slice(0,1)),d===Slick.RowSelectionMode.LastRow&&(s=s.slice(s.length-1,s.length)),d===Slick.RowSelectionMode.FirstNRows&&(s=s.slice(0,l.rowSelectionCount)),l.valueFilterMode===Slick.ValueFilterMode.DeDuplicate){var c={};for(u=0,n=s.length;u<n;u++)c[s[u][e.field]]=!0;if(Object.keys)s=Object.keys(c);else for(var u in s=[],c)s.push(u)}if(l.valueFilterMode===Slick.ValueFilterMode.GetGreatestAndSub){var h,p=0;for(u=0,n=s.length;u<n;u++)w=s[u][e.field],Math.abs(w)>p&&(h=w,p=Math.abs(w));h=\"\"+h,s=[h=+(h=Array(h.length+1).join(\"9\"))]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestTextAndSub){var m=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length);w=Array(m+1).join(\"m\"),r=options.autosizeTextAvgToMWidthRatio,s=[w]}if(l.valueFilterMode===Slick.ValueFilterMode.GetLongestText){m=0;var w,v=0;for(u=0,n=s.length;u<n;u++)((w=s[u][e.field])||\"\").length>m&&(m=w.length,v=u);s=[w=s[v][e.field]]}return i=getColWidth(e,o,s)*r,Math.max(a,i)}function getColWidth(e,o,t){var n=getColumnIndex(e.id),l=$('<div class=\"slick-row ui-widget-content\"></div>'),r=$('<div class=\"slick-cell\"></div>');r.css({position:\"absolute\",visibility:\"hidden\",\"text-overflow\":\"initial\",\"white-space\":\"nowrap\"}),l.append(r),o.append(l);var i,a,s,d,c=0;return canvas_context&&e.autoSize.widthEvalMode===Slick.WidthEvalMode.CanvasTextSize?(canvas_context.font=r.css(\"font-size\")+\" \"+r.css(\"font-family\"),$(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,(i=(a=\"\"+d)?canvas_context.measureText(a).width:0)>c&&(c=i,s=a)})),r.html(s),i=r.outerWidth(),l.remove(),i):($(t).each((function(o,t){d=Array.isArray(t)?t[e.field]:t,applyFormatResultToCellNode(e.formatterOverride?e.formatterOverride(o,n,d,e,t):e.formatter?e.formatter(o,n,d,e,t):\"\"+d,r[0]),(i=r.outerWidth())>c&&(c=i)})),l.remove(),c)}function getColHeaderWidth(e){var o=0,t=getUID()+e.id,n=document.getElementById(t),l=t+\"_\";if(n){var r=n.cloneNode(!0);r.id=l,r.style.cssText=\"position: absolute; visibility: hidden;right: auto;text-overflow: initial;white-space: nowrap;\",n.parentNode.insertBefore(r,n),o=r.offsetWidth,r.parentNode.removeChild(r)}else{var i=getHeader(e);o=(n=$(\"<div class='ui-state-default slick-header-column' />\").html(\"<span class='slick-column-name'>\"+e.name+\"</span>\").attr(\"id\",l).css({position:\"absolute\",visibility:\"hidden\",right:\"auto\",\"text-overflow:\":\"initial\",\"white-space\":\"nowrap\"}).addClass(e.headerCssClass||\"\").appendTo(i))[0].offsetWidth,i[0].removeChild(n[0])}return o}function legacyAutosizeColumns(){var e,o,t,n=[],l=0,r=0,i=viewportHasVScroll?viewportW-scrollbarDimensions.width:viewportW;for(e=0;e<columns.length;e++)o=columns[e],n.push(o.width),r+=o.width,o.resizable&&(l+=o.width-Math.max(o.minWidth,absoluteColumnMinWidth));for(t=r;r>i&&l;){var a=(r-i)/l;for(e=0;e<columns.length&&r>i;e++){o=columns[e];var s=n[e];if(!(!o.resizable||s<=o.minWidth||s<=absoluteColumnMinWidth)){var d=Math.max(o.minWidth,absoluteColumnMinWidth),c=Math.floor(a*(s-d))||1;r-=c=Math.min(c,s-d),l-=c,n[e]-=c}}if(t<=r)break;t=r}for(t=r;r<i;){var u=i/r;for(e=0;e<columns.length&&r<i;e++){o=columns[e];var h,p=n[e];r+=h=!o.resizable||o.maxWidth<=p?0:Math.min(Math.floor(u*p)-p,o.maxWidth-p||1e6)||1,n[e]+=r<=i?h:0}if(t>=r)break;t=r}var m=!1;for(e=0;e<columns.length;e++)columns[e].rerenderOnResize&&columns[e].width!=n[e]&&(m=!0),columns[e].width=n[e];reRenderColumns(m)}function reRenderColumns(e){applyColumnHeaderWidths(),applyColumnGroupHeaderWidths(),updateCanvasWidth(!0),trigger(self.onAutosizeColumns,{columns}),e&&(invalidateAllRows(),render())}function trigger(e,o,t){return t=t||new Slick.EventData,(o=o||{}).grid=self,e.notify(o,t,self)}function getEditorLock(){return options.editorLock}function getEditController(){return editController}function getColumnIndex(e){return columnsById[e]}function applyColumnGroupHeaderWidths(){if(treeColumns.hasDepth())for(var e=$groupHeadersL.length-1;e>=0;e--){treeColumns.getColumnsInDepth(e);$().add($groupHeadersL[e]).add($groupHeadersR[e]).each((function(e){var o=$(this),t=0;o.width(0===e?getHeadersWidthL():getHeadersWidthR()),o.children().each((function(){var e=$(this),n=$(this).data(\"column\");n.width=0,n.columns.forEach((function(){var e=o.next().children(\":eq(\"+t+++\")\");n.width+=e.outerWidth()})),e.width(n.width-headerColumnWidthDiff)}))}))}}function applyColumnHeaderWidths(){if(initialized){for(var e,o=0,t=$headers.children(),n=columns.length;o<n;o++)e=$(t[o]),jQueryNewWidthBehaviour?e.outerWidth()!==columns[o].width&&e.outerWidth(columns[o].width):e.width()!==columns[o].width-headerColumnWidthDiff&&e.width(columns[o].width-headerColumnWidthDiff);updateColumnCaches()}}function applyColumnWidths(){for(var e,o,t=0,n=0;n<columns.length;n++)e=columns[n].width,(o=getColumnCssRules(n)).left.style.left=t+\"px\",o.right.style.right=(-1!=options.frozenColumn&&n>options.frozenColumn?canvasWidthR:canvasWidthL)-t-e+\"px\",options.frozenColumn==n?t=0:t+=columns[n].width}function setSortColumn(e,o){setSortColumns([{columnId:e,sortAsc:o}])}function setSortColumns(e){sortColumns=e;var o=options.numberedMultiColumnSort&&sortColumns.length>1,t=$headers.children();t.removeClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").removeClass(\"slick-sort-indicator-asc slick-sort-indicator-desc\"),t.find(\".slick-sort-indicator-numbered\").text(\"\"),$.each(sortColumns,(function(e,n){null==n.sortAsc&&(n.sortAsc=!0);var l=getColumnIndex(n.columnId);null!=l&&(t.eq(l).addClass(\"slick-header-column-sorted\").find(\".slick-sort-indicator\").addClass(n.sortAsc?\"slick-sort-indicator-asc\":\"slick-sort-indicator-desc\"),o&&t.eq(l).find(\".slick-sort-indicator-numbered\").text(e+1))}))}function getSortColumns(){return sortColumns}function handleSelectedRangesChanged(e,o){var t=selectedRows.slice(0);selectedRows=[];for(var n={},l=0;l<o.length;l++)for(var r=o[l].fromRow;r<=o[l].toRow;r++){n[r]||(selectedRows.push(r),n[r]={});for(var i=o[l].fromCell;i<=o[l].toCell;i++)canCellBeSelected(r,i)&&(n[r][columns[i].id]=options.selectedCellCssClass)}setCellCssStyles(options.selectedCellCssClass,n),simpleArrayEquals(t,selectedRows)&&trigger(self.onSelectedRowsChanged,{rows:getSelectedRows(),previousSelectedRows:t},e)}function simpleArrayEquals(e,o){return Array.isArray(e)&&Array.isArray(o)&&o.sort().toString()!==e.sort().toString()}function getColumns(){return columns}function updateColumnCaches(){columnPosLeft=[],columnPosRight=[];for(var e=0,o=0,t=columns.length;o<t;o++)columnPosLeft[o]=e,columnPosRight[o]=e+columns[o].width,options.frozenColumn==o?e=0:e+=columns[o].width}function updateColumnProps(){columnsById={};for(var e=0;e<columns.length;e++){columns[e].width&&(columns[e].widthRequest=columns[e].width);var o=columns[e]=$.extend({},columnDefaults,columns[e]);o.autoSize=$.extend({},columnAutosizeDefaults,o.autoSize),columnsById[o.id]=e,o.minWidth&&o.width<o.minWidth&&(o.width=o.minWidth),o.maxWidth&&o.width>o.maxWidth&&(o.width=o.maxWidth),o.resizable}}function setColumns(e){var o=new Slick.TreeColumns(e);columns=o.hasDepth()?(treeColumns=o).extractColumns():e,updateColumnProps(),updateColumnCaches(),initialized&&(setPaneVisibility(),setOverflow(),invalidateAllRows(),createColumnHeaders(),createColumnGroupHeaders(),createColumnFooter(),removeCssRules(),createCssRules(),resizeCanvas(),updateCanvasWidth(),applyColumnHeaderWidths(),applyColumnWidths(),handleScroll())}function getOptions(){return options}function setOptions(e,o){if(getEditorLock().commitCurrentEdit()){makeActiveCellNormal(),void 0!==e.showColumnHeader&&setColumnHeaderVisibility(e.showColumnHeader),options.enableAddRow!==e.enableAddRow&&invalidateRow(getDataLength());var t=$.extend(!0,{},options);options=$.extend(options,e),trigger(self.onSetOptions,{optionsBefore:t,optionsAfter:options}),validateAndEnforceOptions(),$viewport.css(\"overflow-y\",options.autoHeight?\"hidden\":\"auto\"),o||render(),setFrozenOptions(),setScroller(),zombieRowNodeFromLastMouseWheelEvent=null,setColumns(treeColumns.extractColumns())}}function validateAndEnforceOptions(){options.autoHeight&&(options.leaveSpaceForNewRows=!1),options.forceFitColumns&&(options.autosizeColsMode=Slick.GridAutosizeColsMode.LegacyForceFit,console.log(\"forceFitColumns option is deprecated - use autosizeColsMode\"))}function setData(e,o){data=e,invalidateAllRows(),updateRowCount(),o&&scrollTo(0)}function getData(){return data}function getDataLength(){return data.getLength?data.getLength():data&&data.length||0}function getDataLengthIncludingAddNew(){return getDataLength()+(options.enableAddRow&&(!pagingActive||pagingIsLastPage)?1:0)}function getDataItem(e){return data.getItem?data.getItem(e):data[e]}function getTopPanel(){return $topPanel[0]}function setTopPanelVisibility(e,o){var t=!1!==o;options.showTopPanel!=e&&(options.showTopPanel=e,e?t?$topPanelScroller.slideDown(\"fast\",resizeCanvas):($topPanelScroller.show(),resizeCanvas()):t?$topPanelScroller.slideUp(\"fast\",resizeCanvas):($topPanelScroller.hide(),resizeCanvas()))}function setHeaderRowVisibility(e,o){var t=!1!==o;options.showHeaderRow!=e&&(options.showHeaderRow=e,e?t?$headerRowScroller.slideDown(\"fast\",resizeCanvas):($headerRowScroller.show(),resizeCanvas()):t?$headerRowScroller.slideUp(\"fast\",resizeCanvas):($headerRowScroller.hide(),resizeCanvas()))}function setColumnHeaderVisibility(e,o){options.showColumnHeader!=e&&(options.showColumnHeader=e,e?o?$headerScroller.slideDown(\"fast\",resizeCanvas):($headerScroller.show(),resizeCanvas()):o?$headerScroller.slideUp(\"fast\",resizeCanvas):($headerScroller.hide(),resizeCanvas()))}function setFooterRowVisibility(e,o){var t=!1!==o;options.showFooterRow!=e&&(options.showFooterRow=e,e?t?$footerRowScroller.slideDown(\"fast\",resizeCanvas):($footerRowScroller.show(),resizeCanvas()):t?$footerRowScroller.slideUp(\"fast\",resizeCanvas):($footerRowScroller.hide(),resizeCanvas()))}function setPreHeaderPanelVisibility(e,o){var t=!1!==o;options.showPreHeaderPanel!=e&&(options.showPreHeaderPanel=e,e?t?$preHeaderPanelScroller.slideDown(\"fast\",resizeCanvas):($preHeaderPanelScroller.show(),resizeCanvas()):t?$preHeaderPanelScroller.slideUp(\"fast\",resizeCanvas):($preHeaderPanelScroller.hide(),resizeCanvas()))}function getContainerNode(){return $container.get(0)}function getRowTop(e){return options.rowHeight*e-offset}function getRowFromPosition(e){return Math.floor((e+offset)/options.rowHeight)}function scrollTo(e){e=Math.max(e,0),e=Math.min(e,th-$viewportScrollContainerY.height()+(viewportHasHScroll||hasFrozenColumns()?scrollbarDimensions.height:0));var o=offset;page=Math.min(n-1,Math.floor(e/ph));var t=e-(offset=Math.round(page*cj));offset!=o&&(cleanupRows(getVisibleRange(t)),updateRowPositions());prevScrollTop!=t&&(vScrollDir=prevScrollTop+o<t+offset?1:-1,lastRenderedScrollTop=scrollTop=prevScrollTop=t,hasFrozenColumns()&&($viewportTopL[0].scrollTop=t),hasFrozenRows&&($viewportBottomL[0].scrollTop=$viewportBottomR[0].scrollTop=t),$viewportScrollContainerY[0].scrollTop=t,trigger(self.onViewportChanged,{}))}function defaultFormatter(e,o,t,n,l,r){return null==t?\"\":(t+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}function getFormatter(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e),n=t&&t.columns&&(t.columns[o.id]||t.columns[getColumnIndex(o.id)]);return n&&n.formatter||t&&t.formatter||o.formatter||options.formatterFactory&&options.formatterFactory.getFormatter(o)||options.defaultFormatter}function callFormatter(e,o,t,n,l,r){var i,a=data.getItemMetadata&&data.getItemMetadata(e);if(a=a&&a.columns){var s=a[n.id]||a[o];i=getFormatter(e,n)(e,o,t,n,l,s)}else i=getFormatter(e,n)(e,o,t,n,l);return i}function getEditor(e,o){var t=columns[o],n=data.getItemMetadata&&data.getItemMetadata(e),l=n&&n.columns;return l&&l[t.id]&&void 0!==l[t.id].editor?l[t.id].editor:l&&l[o]&&void 0!==l[o].editor?l[o].editor:t.editor||options.editorFactory&&options.editorFactory.getEditor(t)}function getDataItemValueForColumn(e,o){return options.dataItemColumnValueExtractor?options.dataItemColumnValueExtractor(e,o):e[o.field]}function appendRowHtml(e,o,t,n,l){var r=getDataItem(t),i=t<l&&!r,a=\"slick-row\"+(hasFrozenRows&&t<=options.frozenRow?\" frozen\":\"\")+(i?\" loading\":\"\")+(t===activeRow&&options.showCellSelection?\" active\":\"\")+(t%2==1?\" odd\":\" even\");r||(a+=\" \"+options.addNewRowCssClass);var s=data.getItemMetadata&&data.getItemMetadata(t);s&&s.cssClasses&&(a+=\" \"+s.cssClasses);var d,c,u=getFrozenRowOffset(t),h=\"<div class='ui-widget-content \"+a+\"' style='top:\"+(getRowTop(t)-u)+\"px'>\";e.push(h),hasFrozenColumns()&&o.push(h);for(var p=0,m=columns.length;p<m;p++){if(c=columns[p],d=1,s&&s.columns){var w=s.columns[c.id]||s.columns[p];\"*\"===(d=w&&w.colspan||1)&&(d=m-p)}if(columnPosRight[Math.min(m-1,p+d-1)]>n.leftPx){if(!c.alwaysRenderColumn&&columnPosLeft[p]>n.rightPx)break;hasFrozenColumns()&&p>options.frozenColumn?appendCellHtml(o,t,p,d,r):appendCellHtml(e,t,p,d,r)}else(c.alwaysRenderColumn||hasFrozenColumns()&&p<=options.frozenColumn)&&appendCellHtml(e,t,p,d,r);d>1&&(p+=d-1)}e.push(\"</div>\"),hasFrozenColumns()&&o.push(\"</div>\")}function appendCellHtml(e,o,t,n,l){var r=columns[t],i=\"slick-cell l\"+t+\" r\"+Math.min(columns.length-1,t+n-1)+(r.cssClass?\" \"+r.cssClass:\"\");for(var a in hasFrozenColumns()&&t<=options.frozenColumn&&(i+=\" frozen\"),o===activeRow&&t===activeCell&&options.showCellSelection&&(i+=\" active\"),cellCssClasses)cellCssClasses[a][o]&&cellCssClasses[a][o][r.id]&&(i+=\" \"+cellCssClasses[a][o][r.id]);var s=null,d=\"\";l&&(s=getDataItemValueForColumn(l,r),null==(d=getFormatter(o,r)(o,t,s,r,l,self))&&(d=\"\"));var c=trigger(self.onBeforeAppendCell,{row:o,cell:t,value:s,dataContext:l})||\"\";c+=d&&d.addClasses?(c?\" \":\"\")+d.addClasses:\"\";var u=d&&d.toolTip?\"title='\"+d.toolTip+\"'\":\"\",h=\"\";if(r.hasOwnProperty(\"cellAttrs\")&&r.cellAttrs instanceof Object)for(var a in r.cellAttrs)r.cellAttrs.hasOwnProperty(a)&&(h+=\" \"+a+'=\"'+r.cellAttrs[a]+'\" ');e.push(\"<div class='\"+i+(c?\" \"+c:\"\")+\"' \"+u+h+\">\"),l&&e.push(\"[object Object]\"!==Object.prototype.toString.call(d)?d:d.text),e.push(\"</div>\"),rowsCache[o].cellRenderQueue.push(t),rowsCache[o].cellColSpans[t]=n}function cleanupRows(e){for(var o in rowsCache){var t=!0;hasFrozenRows&&(options.frozenBottom&&o>=actualFrozenRow||!options.frozenBottom&&o<=actualFrozenRow)&&(t=!1),(o=parseInt(o,10))!==activeRow&&(o<e.top||o>e.bottom)&&t&&removeRowFromCache(o)}options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function invalidate(){updateRowCount(),invalidateAllRows(),render()}function invalidateAllRows(){for(var e in currentEditor&&makeActiveCellNormal(),rowsCache)removeRowFromCache(e);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}function queuePostProcessedRowForCleanup(e,o,t){for(var n in postProcessgroupId++,o)o.hasOwnProperty(n)&&postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e.cellNodesByColumnIdx[0|n],columnIdx:0|n,rowIdx:t});postProcessedCleanupQueue.push({actionType:\"R\",groupId:postProcessgroupId,node:e.rowNode}),$(e.rowNode).detach()}function queuePostProcessedCellForCleanup(e,o,t){postProcessedCleanupQueue.push({actionType:\"C\",groupId:postProcessgroupId,node:e,columnIdx:o,rowIdx:t}),$(e).detach()}function removeRowFromCache(e){var o=rowsCache[e];o&&(rowNodeFromLastMouseWheelEvent==o.rowNode[0]||hasFrozenColumns()&&rowNodeFromLastMouseWheelEvent==o.rowNode[1]?(o.rowNode.hide(),zombieRowNodeFromLastMouseWheelEvent=o.rowNode):o.rowNode.each((function(){this.parentElement.removeChild(this)})),delete rowsCache[e],delete postProcessedRows[e],renderedRows--,counter_rows_removed++)}function invalidateRows(e){var o,t;if(e&&e.length){for(vScrollDir=0,t=e.length,o=0;o<t;o++)currentEditor&&activeRow===e[o]&&makeActiveCellNormal(),rowsCache[e[o]]&&removeRowFromCache(e[o]);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup()}}function invalidateRow(e){(e||0===e)&&invalidateRows([e])}function applyFormatResultToCellNode(e,o,t){null==e&&(e=\"\"),\"[object Object]\"===Object.prototype.toString.call(e)?(o.innerHTML=e.text,e.removeClasses&&!t&&$(o).removeClass(e.removeClasses),e.addClasses&&$(o).addClass(e.addClasses),e.toolTip&&$(o).attr(\"title\",e.toolTip)):o.innerHTML=e}function updateCell(e,o){var t=getCellNode(e,o);if(t){var n=columns[o],l=getDataItem(e);if(currentEditor&&activeRow===e&&activeCell===o)currentEditor.loadValue(l);else applyFormatResultToCellNode(l?getFormatter(e,n)(e,o,getDataItemValueForColumn(l,n),n,l,self):\"\",t),invalidatePostProcessingResults(e)}}function updateRow(e){var o=rowsCache[e];if(o){ensureCellNodesInRowsCache(e);var t=getDataItem(e);for(var n in o.cellNodesByColumnIdx)if(o.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=o.cellNodesByColumnIdx[n][0];e===activeRow&&n===activeCell&&currentEditor?currentEditor.loadValue(t):t?applyFormatResultToCellNode(getFormatter(e,l)(e,n,getDataItemValueForColumn(t,l),l,t,self),r):r.innerHTML=\"\"}invalidatePostProcessingResults(e)}}function getViewportHeight(){if(options.autoHeight&&-1==options.frozenColumn||(topPanelH=options.showTopPanel?options.topPanelHeight+getVBoxDelta($topPanelScroller):0,headerRowH=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,footerRowH=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0),options.autoHeight){var e=$paneHeaderL.outerHeight();e+=options.showHeaderRow?options.headerRowHeight+getVBoxDelta($headerRowScroller):0,e+=options.showFooterRow?options.footerRowHeight+getVBoxDelta($footerRowScroller):0,e+=getCanvasWidth()>viewportW?scrollbarDimensions.height:0,viewportH=options.rowHeight*getDataLengthIncludingAddNew()+(-1==options.frozenColumn?e:0)}else{var o=options.showColumnHeader?parseFloat($.css($headerScroller[0],\"height\"))+getVBoxDelta($headerScroller):0,t=options.createPreHeaderPanel&&options.showPreHeaderPanel?options.preHeaderPanelHeight+getVBoxDelta($preHeaderPanelScroller):0;viewportH=parseFloat($.css($container[0],\"height\",!0))-parseFloat($.css($container[0],\"paddingTop\",!0))-parseFloat($.css($container[0],\"paddingBottom\",!0))-o-topPanelH-headerRowH-footerRowH-t}return numVisibleRows=Math.ceil(viewportH/options.rowHeight),viewportH}function getViewportWidth(){viewportW=parseFloat($container.width())}function resizeCanvas(){if(initialized){paneTopH=0,paneBottomH=0,viewportTopH=0,viewportBottomH=0,getViewportWidth(),getViewportHeight(),hasFrozenRows?options.frozenBottom?(paneTopH=viewportH-frozenRowsHeight-scrollbarDimensions.height,paneBottomH=frozenRowsHeight+scrollbarDimensions.height):(paneTopH=frozenRowsHeight,paneBottomH=viewportH-frozenRowsHeight):paneTopH=viewportH,paneTopH+=topPanelH+headerRowH+footerRowH,hasFrozenColumns()&&options.autoHeight&&(paneTopH+=scrollbarDimensions.height),viewportTopH=paneTopH-topPanelH-headerRowH-footerRowH,options.autoHeight&&(hasFrozenColumns()&&$container.height(paneTopH+parseFloat($.css($headerScrollerL[0],\"height\"))),$paneTopL.css(\"position\",\"relative\")),$paneTopL.css({top:$paneHeaderL.height(),height:paneTopH});var e=$paneTopL.position().top+paneTopH;options.autoHeight||$viewportTopL.height(viewportTopH),hasFrozenColumns()?($paneTopR.css({top:$paneHeaderL.height(),height:paneTopH}),$viewportTopR.height(viewportTopH),hasFrozenRows&&($paneBottomL.css({top:e,height:paneBottomH}),$paneBottomR.css({top:e,height:paneBottomH}),$viewportBottomR.height(paneBottomH))):hasFrozenRows&&($paneBottomL.css({width:\"100%\",height:paneBottomH}),$paneBottomL.css(\"top\",e)),hasFrozenRows?($viewportBottomL.height(paneBottomH),options.frozenBottom?($canvasBottomL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasBottomR.height(frozenRowsHeight)):($canvasTopL.height(frozenRowsHeight),hasFrozenColumns()&&$canvasTopR.height(frozenRowsHeight))):$viewportTopR.height(viewportTopH),scrollbarDimensions&&scrollbarDimensions.width||(scrollbarDimensions=measureScrollbar()),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&autosizeColumns(),updateRowCount(),handleScroll(),lastRenderedScrollLeft=-1,render()}}function updatePagingStatusFromView(e){pagingActive=0!==e.pageSize,pagingIsLastPage=e.pageNum==e.totalPages-1}function updateRowCount(){if(initialized){var e=getDataLength(),o=getDataLengthIncludingAddNew(),t=0,l=hasFrozenRows&&!options.frozenBottom?$canvasBottomL.height():$canvasTopL.height();if(hasFrozenRows)t=getDataLength()-options.frozenRow;else t=o+(options.leaveSpaceForNewRows?numVisibleRows-1:0);var r=$viewportScrollContainerY.height(),i=viewportHasVScroll;viewportHasVScroll=options.alwaysShowVerticalScroll||!options.autoHeight&&t*options.rowHeight>r,makeActiveCellNormal();var a=e-1;for(var s in rowsCache)s>a&&removeRowFromCache(s);options.enableAsyncPostRenderCleanup&&startPostProcessingCleanup(),activeCellNode&&activeRow>a&&resetActiveCell();l=h;options.autoHeight?h=options.rowHeight*t:(th=Math.max(options.rowHeight*t,r-scrollbarDimensions.height))<maxSupportedCssHeight?(h=ph=th,n=1,cj=0):(ph=(h=maxSupportedCssHeight)/100,n=Math.floor(th/ph),cj=(th-h)/(n-1)),h!==l&&(hasFrozenRows&&!options.frozenBottom?($canvasBottomL.css(\"height\",h),hasFrozenColumns()&&$canvasBottomR.css(\"height\",h)):($canvasTopL.css(\"height\",h),$canvasTopR.css(\"height\",h)),scrollTop=$viewportScrollContainerY[0].scrollTop);var d=scrollTop+offset<=th-r;0==th||0==scrollTop?page=offset=0:scrollTo(d?scrollTop+offset:th-r),h!=l&&options.autoHeight&&resizeCanvas(),options.autosizeColsMode===Slick.GridAutosizeColsMode.LegacyForceFit&&i!=viewportHasVScroll&&autosizeColumns(),updateCanvasWidth(!1)}}function getVisibleRange(e,o){return null==e&&(e=scrollTop),null==o&&(o=scrollLeft),{top:getRowFromPosition(e),bottom:getRowFromPosition(e+viewportH)+1,leftPx:o,rightPx:o+viewportW}}function getRenderedRange(e,o){var t=getVisibleRange(e,o),n=Math.round(viewportH/options.rowHeight),l=options.minRowBuffer;return-1==vScrollDir?(t.top-=n,t.bottom+=l):1==vScrollDir?(t.top-=l,t.bottom+=n):(t.top-=l,t.bottom+=l),t.top=Math.max(0,t.top),t.bottom=Math.min(getDataLengthIncludingAddNew()-1,t.bottom),t.leftPx-=viewportW,t.rightPx+=viewportW,t.leftPx=Math.max(0,t.leftPx),t.rightPx=Math.min(canvasWidth,t.rightPx),t}function ensureCellNodesInRowsCache(e){var o=rowsCache[e];if(o&&o.cellRenderQueue.length)for(var t=o.rowNode.children().last();o.cellRenderQueue.length;){var n=o.cellRenderQueue.pop();o.cellNodesByColumnIdx[n]=t,0===(t=t.prev()).length&&(t=$(o.rowNode[0]).children().last())}}function cleanUpCells(e,o){if(!hasFrozenRows||!(options.frozenBottom&&o>actualFrozenRow||o<=actualFrozenRow)){var t,n=rowsCache[o],l=[];for(var r in n.cellNodesByColumnIdx)if(n.cellNodesByColumnIdx.hasOwnProperty(r)&&!((r|=0)<=options.frozenColumn||Array.isArray(columns)&&columns[r]&&columns[r].alwaysRenderColumn)){var i=n.cellColSpans[r];(columnPosLeft[r]>e.rightPx||columnPosRight[Math.min(columns.length-1,r+i-1)]<e.leftPx)&&(o==activeRow&&r==activeCell||l.push(r))}for(;null!=(t=l.pop());)n.cellNodesByColumnIdx[t][0].parentElement.removeChild(n.cellNodesByColumnIdx[t][0]),delete n.cellColSpans[t],delete n.cellNodesByColumnIdx[t],postProcessedRows[o]&&delete postProcessedRows[o][t]}}function cleanUpAndRenderCells(e){for(var o,t,n,l=[],r=[],i=e.top,a=e.bottom;i<=a;i++)if(o=rowsCache[i]){ensureCellNodesInRowsCache(i),cleanUpCells(e,i),t=0;var s=data.getItemMetadata&&data.getItemMetadata(i);s=s&&s.columns;for(var d=getDataItem(i),c=0,u=columns.length;c<u&&!(columnPosLeft[c]>e.rightPx);c++)if(null==(n=o.cellColSpans[c])){if(n=1,s){var h=s[columns[c].id]||s[c];\"*\"===(n=h&&h.colspan||1)&&(n=u-c)}columnPosRight[Math.min(u-1,c+n-1)]>e.leftPx&&(appendCellHtml(l,i,c,n,d),t++),c+=n>1?n-1:0}else c+=n>1?n-1:0;t&&(t,r.push(i))}if(l.length){var p,m,w=document.createElement(\"div\");for(w.innerHTML=l.join(\"\");null!=(p=r.pop());){var v;for(o=rowsCache[p];null!=(v=o.cellRenderQueue.pop());)m=w.lastChild,hasFrozenColumns()&&v>options.frozenColumn?o.rowNode[1].appendChild(m):o.rowNode[0].appendChild(m),o.cellNodesByColumnIdx[v]=$(m)}}}function renderRows(e){for(var o=[],t=[],n=[],l=!1,r=getDataLength(),i=e.top,a=e.bottom;i<=a;i++)rowsCache[i]||hasFrozenRows&&options.frozenBottom&&i==getDataLength()||(renderedRows++,n.push(i),rowsCache[i]={rowNode:null,cellColSpans:[],cellNodesByColumnIdx:[],cellRenderQueue:[]},appendRowHtml(o,t,i,e,r),activeCellNode&&activeRow===i&&(l=!0),counter_rows_rendered++);if(n.length){var s=document.createElement(\"div\"),d=document.createElement(\"div\");s.innerHTML=o.join(\"\"),d.innerHTML=t.join(\"\");for(i=0,a=n.length;i<a;i++)hasFrozenRows&&n[i]>=actualFrozenRow?hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)).add($(d.firstChild).appendTo($canvasBottomR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasBottomL)):hasFrozenColumns()?rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL)).add($(d.firstChild).appendTo($canvasTopR)):rowsCache[n[i]].rowNode=$().add($(s.firstChild).appendTo($canvasTopL));l&&(activeCellNode=getCellNode(activeRow,activeCell))}}function startPostProcessing(){options.enableAsyncPostRender&&(clearTimeout(h_postrender),h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}function startPostProcessingCleanup(){options.enableAsyncPostRenderCleanup&&(clearTimeout(h_postrenderCleanup),h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay))}function invalidatePostProcessingResults(e){for(var o in postProcessedRows[e])postProcessedRows[e].hasOwnProperty(o)&&(postProcessedRows[e][o]=\"C\");postProcessFromRow=Math.min(postProcessFromRow,e),postProcessToRow=Math.max(postProcessToRow,e),startPostProcessing()}function updateRowPositions(){for(var e in rowsCache){var o=e?parseInt(e):0;rowsCache[o].rowNode[0].style.top=getRowTop(o)+\"px\"}}function render(){if(initialized){scrollThrottle.dequeue();var e=getVisibleRange(),o=getRenderedRange();if(cleanupRows(o),lastRenderedScrollLeft!=scrollLeft){if(hasFrozenRows){var t=$.extend(!0,{},o);options.frozenBottom?(t.top=actualFrozenRow,t.bottom=getDataLength()):(t.top=0,t.bottom=options.frozenRow),cleanUpAndRenderCells(t)}cleanUpAndRenderCells(o)}renderRows(o),hasFrozenRows&&(options.frozenBottom?renderRows({top:actualFrozenRow,bottom:getDataLength()-1,leftPx:o.leftPx,rightPx:o.rightPx}):renderRows({top:0,bottom:options.frozenRow-1,leftPx:o.leftPx,rightPx:o.rightPx})),postProcessFromRow=e.top,postProcessToRow=Math.min(getDataLengthIncludingAddNew()-1,e.bottom),startPostProcessing(),lastRenderedScrollTop=scrollTop,lastRenderedScrollLeft=scrollLeft,h_render=null,trigger(self.onRendered,{startRow:e.top,endRow:e.bottom,grid:self})}}function handleHeaderScroll(){handleElementScroll($headerScrollContainer[0])}function handleHeaderRowScroll(){var e=$headerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handleFooterRowScroll(){var e=$footerRowScrollContainer[0].scrollLeft;e!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=e)}function handlePreHeaderPanelScroll(){handleElementScroll($preHeaderPanelScroller[0])}function handleElementScroll(e){var o=e.scrollLeft;o!=$viewportScrollContainerX[0].scrollLeft&&($viewportScrollContainerX[0].scrollLeft=o)}function handleScroll(){return scrollTop=$viewportScrollContainerY[0].scrollTop,scrollLeft=$viewportScrollContainerX[0].scrollLeft,_handleScroll(!1)}function _handleScroll(e){var o=$viewportScrollContainerY[0].scrollHeight-$viewportScrollContainerY[0].clientHeight,t=$viewportScrollContainerY[0].scrollWidth-$viewportScrollContainerY[0].clientWidth;o=Math.max(0,o),t=Math.max(0,t),scrollTop>o&&(scrollTop=o),scrollLeft>t&&(scrollLeft=t);var l=Math.abs(scrollTop-prevScrollTop),r=Math.abs(scrollLeft-prevScrollLeft);if(r&&(prevScrollLeft=scrollLeft,$viewportScrollContainerX[0].scrollLeft=scrollLeft,$headerScrollContainer[0].scrollLeft=scrollLeft,$topPanelScroller[0].scrollLeft=scrollLeft,$headerRowScrollContainer[0].scrollLeft=scrollLeft,options.createFooterRow&&($footerRowScrollContainer[0].scrollLeft=scrollLeft),options.createPreHeaderPanel&&(hasFrozenColumns()?$preHeaderPanelScrollerR[0].scrollLeft=scrollLeft:$preHeaderPanelScroller[0].scrollLeft=scrollLeft),hasFrozenColumns()?hasFrozenRows&&($viewportTopR[0].scrollLeft=scrollLeft):hasFrozenRows&&($viewportTopL[0].scrollLeft=scrollLeft)),l)if(vScrollDir=prevScrollTop<scrollTop?1:-1,prevScrollTop=scrollTop,e&&($viewportScrollContainerY[0].scrollTop=scrollTop),hasFrozenColumns()&&(hasFrozenRows&&!options.frozenBottom?$viewportBottomL[0].scrollTop=scrollTop:$viewportTopL[0].scrollTop=scrollTop),l<viewportH)scrollTo(scrollTop+offset);else{var i=offset;page=h==viewportH?0:Math.min(n-1,Math.floor(scrollTop*((th-viewportH)/(h-viewportH))*(1/ph))),i!=(offset=Math.round(page*cj))&&invalidateAllRows()}if(r||l){var a=Math.abs(lastRenderedScrollLeft-scrollLeft),s=Math.abs(lastRenderedScrollTop-scrollTop);(a>20||s>20)&&(options.forceSyncScrolling||s<viewportH&&a<viewportW?render():scrollThrottle.enqueue(),trigger(self.onViewportChanged,{}))}return trigger(self.onScroll,{scrollLeft,scrollTop}),!(!r&&!l)}function ActionThrottle(e,o){var t=!1,n=!1;function l(){n=!1}function r(){t=!0,setTimeout(i,o),e()}function i(){n?(l(),r()):t=!1}return{enqueue:function(){t?n=!0:r()},dequeue:l}}function asyncPostProcessRows(){for(var e=getDataLength();postProcessFromRow<=postProcessToRow;){var o=vScrollDir>=0?postProcessFromRow++:postProcessToRow--,t=rowsCache[o];if(t&&!(o>=e)){for(var n in postProcessedRows[o]||(postProcessedRows[o]={}),ensureCellNodesInRowsCache(o),t.cellNodesByColumnIdx)if(t.cellNodesByColumnIdx.hasOwnProperty(n)){var l=columns[n|=0],r=postProcessedRows[o][n];if(l.asyncPostRender&&\"R\"!==r){var i=t.cellNodesByColumnIdx[n];i&&l.asyncPostRender(i,o,getDataItem(o),l,\"C\"===r),postProcessedRows[o][n]=\"R\"}}return void(h_postrender=setTimeout(asyncPostProcessRows,options.asyncPostRenderDelay))}}}function asyncPostProcessCleanupRows(){if(postProcessedCleanupQueue.length>0){for(var e=postProcessedCleanupQueue[0].groupId;postProcessedCleanupQueue.length>0&&postProcessedCleanupQueue[0].groupId==e;){var o=postProcessedCleanupQueue.shift();if(\"R\"==o.actionType&&$(o.node).remove(),\"C\"==o.actionType){var t=columns[o.columnIdx];t.asyncPostRenderCleanup&&o.node&&t.asyncPostRenderCleanup(o.node,o.rowIdx,t)}}h_postrenderCleanup=setTimeout(asyncPostProcessCleanupRows,options.asyncPostRenderCleanupDelay)}}function updateCellCssStylesOnRenderedRows(e,o){var t,n,l,r;for(var i in rowsCache){if(r=o&&o[i],l=e&&e[i],r)for(n in r)l&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).removeClass(r[n]);if(l)for(n in l)r&&r[n]==l[n]||(t=getCellNode(i,getColumnIndex(n)))&&$(t).addClass(l[n])}}function addCellCssStyles(e,o){if(cellCssClasses[e])throw new Error(\"addCellCssStyles: cell CSS hash with key '\"+e+\"' already exists.\");cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,null),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function removeCellCssStyles(e){cellCssClasses[e]&&(updateCellCssStylesOnRenderedRows(null,cellCssClasses[e]),delete cellCssClasses[e],trigger(self.onCellCssStylesChanged,{key:e,hash:null,grid:self}))}function setCellCssStyles(e,o){var t=cellCssClasses[e];cellCssClasses[e]=o,updateCellCssStylesOnRenderedRows(o,t),trigger(self.onCellCssStylesChanged,{key:e,hash:o,grid:self})}function getCellCssStyles(e){return cellCssClasses[e]}function flashCell(e,o,t){(t=t||100,rowsCache[e])&&function e(o,n){n&&setTimeout((function(){o.queue((function(){o.toggleClass(options.cellFlashingCssClass).dequeue(),e(o,n-1)}))}),t)}($(getCellNode(e,o)),4)}function handleMouseWheel(e,o,t,n){var l=$(e.target).closest(\".slick-row\"),r=l[0];if(r!=rowNodeFromLastMouseWheelEvent){var i=l.parents(\".grid-canvas\").hasClass(\"grid-canvas-left\");if(zombieRowNodeFromLastMouseWheelEvent&&zombieRowNodeFromLastMouseWheelEvent[i?0:1]!=r){var a=zombieRowNodeFromLastMouseWheelEvent[i||1==zombieRowNodeFromLastMouseWheelEvent.length?0:1];a.parentElement.removeChild(a),zombieRowNodeFromLastMouseWheelEvent=null}rowNodeFromLastMouseWheelEvent=r}scrollTop=Math.max(0,$viewportScrollContainerY[0].scrollTop-n*options.rowHeight),scrollLeft=$viewportScrollContainerX[0].scrollLeft+10*t,_handleScroll(!0)&&e.preventDefault()}function handleDragInit(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragInit,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDragStart(e,o){var t=getCellFromEvent(e);if(!t||!cellExists(t.row,t.cell))return!1;var n=trigger(self.onDragStart,o,e);return!!e.isImmediatePropagationStopped()&&n}function handleDrag(e,o){return trigger(self.onDrag,o,e)}function handleDragEnd(e,o){trigger(self.onDragEnd,o,e)}function handleKeyDown(e){trigger(self.onKeyDown,{row:activeRow,cell:activeCell},e);var o=e.isImmediatePropagationStopped(),t=Slick.keyCode;if(!o&&!e.shiftKey&&!e.altKey){if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;e.which==t.HOME?o=e.ctrlKey?navigateTop():navigateRowStart():e.which==t.END&&(o=e.ctrlKey?navigateBottom():navigateRowEnd())}if(!o)if(e.shiftKey||e.altKey||e.ctrlKey)e.which!=t.TAB||!e.shiftKey||e.ctrlKey||e.altKey||(o=navigatePrev());else{if(options.editable&&currentEditor&&currentEditor.keyCaptureList&&currentEditor.keyCaptureList.indexOf(e.which)>-1)return;if(e.which==t.ESCAPE){if(!getEditorLock().isActive())return;cancelEditAndSetFocus()}else e.which==t.PAGE_DOWN?(navigatePageDown(),o=!0):e.which==t.PAGE_UP?(navigatePageUp(),o=!0):e.which==t.LEFT?o=navigateLeft():e.which==t.RIGHT?o=navigateRight():e.which==t.UP?o=navigateUp():e.which==t.DOWN?o=navigateDown():e.which==t.TAB?o=navigateNext():e.which==t.ENTER&&(options.editable&&(currentEditor?activeRow===getDataLength()?navigateDown():commitEditAndSetFocus():getEditorLock().commitCurrentEdit()&&makeActiveCellEditable(void 0,void 0,e)),o=!0)}if(o){e.stopPropagation(),e.preventDefault();try{e.originalEvent.keyCode=0}catch(e){}}}function handleClick(e){currentEditor||(e.target!=document.activeElement||$(e.target).hasClass(\"slick-cell\"))&&setFocus();var o=getCellFromEvent(e);if(o&&(null===currentEditor||activeRow!=o.row||activeCell!=o.cell)&&(trigger(self.onClick,{row:o.row,cell:o.cell},e),!e.isImmediatePropagationStopped()&&canCellBeActive(o.row,o.cell)&&(!getEditorLock().isActive()||getEditorLock().commitCurrentEdit()))){scrollRowIntoView(o.row,!1);var t=e.target&&e.target.className===Slick.preClickClassName,n=columns[o.cell],l=!!(options.editable&&n&&n.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(getCellNode(o.row,o.cell),null,t,l,e)}}function handleContextMenu(e){var o=$(e.target).closest(\".slick-cell\",$canvas);0!==o.length&&(activeCellNode===o[0]&&null!==currentEditor||trigger(self.onContextMenu,{},e))}function handleDblClick(e){var o=getCellFromEvent(e);!o||null!==currentEditor&&activeRow==o.row&&activeCell==o.cell||(trigger(self.onDblClick,{row:o.row,cell:o.cell},e),e.isImmediatePropagationStopped()||options.editable&&gotoCell(o.row,o.cell,!0,e))}function handleHeaderMouseEnter(e){trigger(self.onHeaderMouseEnter,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderMouseLeave(e){trigger(self.onHeaderMouseLeave,{column:$(this).data(\"column\"),grid:self},e)}function handleHeaderContextMenu(e){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");trigger(self.onHeaderContextMenu,{column:t},e)}function handleHeaderClick(e){if(!columnResizeDragging){var o=$(e.target).closest(\".slick-header-column\",\".slick-header-columns\"),t=o&&o.data(\"column\");t&&trigger(self.onHeaderClick,{column:t},e)}}function handleFooterContextMenu(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterContextMenu,{column:t},e)}function handleFooterClick(e){var o=$(e.target).closest(\".slick-footerrow-column\",\".slick-footerrow-columns\"),t=o&&o.data(\"column\");trigger(self.onFooterClick,{column:t},e)}function handleMouseEnter(e){trigger(self.onMouseEnter,{},e)}function handleMouseLeave(e){trigger(self.onMouseLeave,{},e)}function cellExists(e,o){return!(e<0||e>=getDataLength()||o<0||o>=columns.length)}function getCellFromPoint(e,o){for(var t=getRowFromPosition(o),n=0,l=0,r=0;r<columns.length&&l<e;r++)l+=columns[r].width,n++;return n<0&&(n=0),{row:t,cell:n-1}}function getCellFromNode(e){var o=/l\\d+/.exec(e.className);if(!o)throw new Error(\"getCellFromNode: cannot get cell - \"+e.className);return parseInt(o[0].substr(1,o[0].length-1),10)}function getRowFromNode(e){for(var o in rowsCache)for(var t in rowsCache[o].rowNode)if(rowsCache[o].rowNode[t]===e)return o?parseInt(o):0;return null}function getFrozenRowOffset(e){return hasFrozenRows?options.frozenBottom?e>=actualFrozenRow?h<viewportTopH?actualFrozenRow*options.rowHeight:h:0:e>=actualFrozenRow?frozenRowsHeight:0:0}function getCellFromEvent(e){var o,t,n=$(e.target).closest(\".slick-cell\",$canvas);if(!n.length)return null;if(o=getRowFromNode(n[0].parentNode),hasFrozenRows){var l=n.parents(\".grid-canvas\").offset(),r=0;n.parents(\".grid-canvas-bottom\").length&&(r=options.frozenBottom?$canvasTopL.height():frozenRowsHeight),o=getCellFromPoint(e.clientX-l.left,e.clientY-l.top+r+$(document).scrollTop()).row}return t=getCellFromNode(n[0]),null==o||null==t?null:{row:o,cell:t}}function getCellNodeBox(e,o){if(!cellExists(e,o))return null;for(var t=getFrozenRowOffset(e),n=getRowTop(e)-t,l=n+options.rowHeight-1,r=0,i=0;i<o;i++)r+=columns[i].width,options.frozenColumn==i&&(r=0);return{top:n,left:r,bottom:l,right:r+columns[o].width}}function resetActiveCell(){setActiveCellInternal(null,!1)}function setFocus(){-1==tabbingDirection?$focusSink[0].focus():$focusSink2[0].focus()}function scrollCellIntoView(e,o,t){if(scrollRowIntoView(e,t),!(o<=options.frozenColumn)){var n=getColspan(e,o);internalScrollColumnIntoView(columnPosLeft[o],columnPosRight[o+(n>1?n-1:0)])}}function internalScrollColumnIntoView(e,o){var t=scrollLeft+$viewportScrollContainerX.width();e<scrollLeft?($viewportScrollContainerX.scrollLeft(e),handleScroll(),render()):o>t&&($viewportScrollContainerX.scrollLeft(Math.min(e,o-$viewportScrollContainerX[0].clientWidth)),handleScroll(),render())}function scrollColumnIntoView(e){internalScrollColumnIntoView(columnPosLeft[e],columnPosRight[e])}function setActiveCellInternal(e,o,t,n,l){null!==activeCellNode&&(makeActiveCellNormal(),$(activeCellNode).removeClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).removeClass(\"active\"));if(null!=(activeCellNode=e)){var r=$(activeCellNode),i=r.offset(),a=Math.floor(r.parents(\".grid-canvas\").offset().top),s=r.parents(\".grid-canvas-bottom\").length;hasFrozenRows&&s&&(a-=options.frozenBottom?$canvasTopL.height():frozenRowsHeight);var d=getCellFromPoint(i.left,Math.ceil(i.top)-a);activeRow=d.row,activeCell=activePosX=activeCell=activePosX=getCellFromNode(activeCellNode),null==o&&(o=activeRow==getDataLength()||options.autoEdit),options.showCellSelection&&(r.addClass(\"active\"),rowsCache[activeRow]&&$(rowsCache[activeRow].rowNode).addClass(\"active\")),options.editable&&o&&isCellPotentiallyEditable(activeRow,activeCell)&&(clearTimeout(h_editorLoader),options.asyncEditorLoading?h_editorLoader=setTimeout((function(){makeActiveCellEditable(void 0,t,l)}),options.asyncEditorLoadDelay):makeActiveCellEditable(void 0,t,l))}else activeRow=activeCell=null;n||trigger(self.onActiveCellChanged,getActiveCell())}function clearTextSelection(){if(document.selection&&document.selection.empty)try{document.selection.empty()}catch(e){}else if(window.getSelection){var e=window.getSelection();e&&e.removeAllRanges&&e.removeAllRanges()}}function isCellPotentiallyEditable(e,o){var t=getDataLength();return!(e<t&&!getDataItem(e))&&(!(columns[o].cannotTriggerInsert&&e>=t)&&!!getEditor(e,o))}function makeActiveCellNormal(){if(currentEditor){if(trigger(self.onBeforeCellEditorDestroy,{editor:currentEditor}),currentEditor.destroy(),currentEditor=null,activeCellNode){var e=getDataItem(activeRow);if($(activeCellNode).removeClass(\"editable invalid\"),e){var o=columns[activeCell];applyFormatResultToCellNode(getFormatter(activeRow,o)(activeRow,activeCell,getDataItemValueForColumn(e,o),o,e,self),activeCellNode),invalidatePostProcessingResults(activeRow)}}navigator.userAgent.toLowerCase().match(/msie/)&&clearTextSelection(),getEditorLock().deactivate(editController)}}function makeActiveCellEditable(e,o,t){if(activeCellNode){if(!options.editable)throw new Error(\"Grid : makeActiveCellEditable : should never get called when options.editable is false\");if(clearTimeout(h_editorLoader),isCellPotentiallyEditable(activeRow,activeCell)){var n=columns[activeCell],l=getDataItem(activeRow);if(!1!==trigger(self.onBeforeEditCell,{row:activeRow,cell:activeCell,item:l,column:n})){getEditorLock().activate(editController),$(activeCellNode).addClass(\"editable\");var r=e||getEditor(activeRow,activeCell);e||r.suppressClearOnEdit||(activeCellNode.innerHTML=\"\");var i=data.getItemMetadata&&data.getItemMetadata(activeRow),a=(i=i&&i.columns)&&(i[n.id]||i[activeCell]);currentEditor=new r({grid:self,gridPosition:absBox($container[0]),position:absBox(activeCellNode),container:activeCellNode,column:n,columnMetaData:a,item:l||{},event:t,commitChanges:commitEditAndSetFocus,cancelChanges:cancelEditAndSetFocus}),l&&(currentEditor.loadValue(l),o&&currentEditor.preClick&&currentEditor.preClick()),serializedEditorValue=currentEditor.serializeValue(),currentEditor.position&&handleActiveCellPositionChange()}else setFocus()}}}function commitEditAndSetFocus(){getEditorLock().commitCurrentEdit()&&(setFocus(),options.autoEdit&&navigateDown())}function cancelEditAndSetFocus(){getEditorLock().cancelCurrentEdit()&&setFocus()}function absBox(e){var o={top:e.offsetTop,left:e.offsetLeft,bottom:0,right:0,width:$(e).outerWidth(),height:$(e).outerHeight(),visible:!0};o.bottom=o.top+o.height,o.right=o.left+o.width;for(var t=e.offsetParent;(e=e.parentNode)!=document.body&&null!=e;)o.visible&&e.scrollHeight!=e.offsetHeight&&\"visible\"!=$(e).css(\"overflowY\")&&(o.visible=o.bottom>e.scrollTop&&o.top<e.scrollTop+e.clientHeight),o.visible&&e.scrollWidth!=e.offsetWidth&&\"visible\"!=$(e).css(\"overflowX\")&&(o.visible=o.right>e.scrollLeft&&o.left<e.scrollLeft+e.clientWidth),o.left-=e.scrollLeft,o.top-=e.scrollTop,e===t&&(o.left+=e.offsetLeft,o.top+=e.offsetTop,t=e.offsetParent),o.bottom=o.top+o.height,o.right=o.left+o.width;return o}function getActiveCellPosition(){return absBox(activeCellNode)}function getGridPosition(){return absBox($container[0])}function handleActiveCellPositionChange(){if(activeCellNode&&(trigger(self.onActiveCellPositionChanged,{}),currentEditor)){var e=getActiveCellPosition();currentEditor.show&&currentEditor.hide&&(e.visible?currentEditor.show():currentEditor.hide()),currentEditor.position&&currentEditor.position(e)}}function getCellEditor(){return currentEditor}function getActiveCell(){return activeCellNode?{row:activeRow,cell:activeCell}:null}function getActiveCellNode(){return activeCellNode}function scrollRowIntoView(e,o){if(!hasFrozenRows||!options.frozenBottom&&e>actualFrozenRow-1||options.frozenBottom&&e<actualFrozenRow-1){var t=$viewportScrollContainerY.height(),n=hasFrozenRows&&!options.frozenBottom?e-options.frozenRow:e,l=n*options.rowHeight,r=(n+1)*options.rowHeight-t+(viewportHasHScroll?scrollbarDimensions.height:0);(n+1)*options.rowHeight>scrollTop+t+offset?(scrollTo(o?l:r),render()):n*options.rowHeight<scrollTop+offset&&(scrollTo(o?r:l),render())}}function scrollRowToTop(e){scrollTo(e*options.rowHeight),render()}function scrollPage(e){var o=e*numVisibleRows;if(scrollTo((getRowFromPosition(scrollTop+options.rowHeight-1)+o)*options.rowHeight),render(),options.enableCellNavigation&&null!=activeRow){var t=activeRow+o,n=getDataLengthIncludingAddNew();t>=n&&(t=n-1),t<0&&(t=0);for(var l=0,r=null,i=activePosX;l<=activePosX;)canCellBeActive(t,l)&&(r=l),l+=getColspan(t,l);null!==r?(setActiveCellInternal(getCellNode(t,r)),activePosX=i):resetActiveCell()}}function navigatePageDown(){scrollPage(1)}function navigatePageUp(){scrollPage(-1)}function navigateTop(){navigateToRow(0)}function navigateBottom(){navigateToRow(getDataLength()-1)}function navigateToRow(e){var o=getDataLength();if(!o)return!0;if(e<0?e=0:e>=o&&(e=o-1),scrollCellIntoView(e,0,!0),options.enableCellNavigation&&null!=activeRow){for(var t=0,n=null,l=activePosX;t<=activePosX;)canCellBeActive(e,t)&&(n=t),t+=getColspan(e,t);null!==n?(setActiveCellInternal(getCellNode(e,n)),activePosX=l):resetActiveCell()}return!0}function getColspan(e,o){var t=data.getItemMetadata&&data.getItemMetadata(e);if(!t||!t.columns)return 1;var n=t.columns[columns[o].id]||t.columns[o],l=n&&n.colspan;return l=\"*\"===l?columns.length-o:l||1}function findFirstFocusableCell(e){for(var o=0;o<columns.length;){if(canCellBeActive(e,o))return o;o+=getColspan(e,o)}return null}function findLastFocusableCell(e){for(var o=0,t=null;o<columns.length;)canCellBeActive(e,o)&&(t=o),o+=getColspan(e,o);return t}function gotoRight(e,o,t){if(o>=columns.length)return null;do{o+=getColspan(e,o)}while(o<columns.length&&!canCellBeActive(e,o));return o<columns.length?{row:e,cell:o,posX:o}:null}function gotoLeft(e,o,t){if(o<=0)return null;var n=findFirstFocusableCell(e);if(null===n||n>=o)return null;for(var l,r={row:e,cell:n,posX:n};;){if(!(l=gotoRight(r.row,r.cell,r.posX)))return null;if(l.cell>=o)return r;r=l}}function gotoDown(e,o,t){for(var n,l=getDataLengthIncludingAddNew();;){if(++e>=l)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoUp(e,o,t){for(var n;;){if(--e<0)return null;for(n=o=0;o<=t;)n=o,o+=getColspan(e,o);if(canCellBeActive(e,n))return{row:e,cell:n,posX:t}}}function gotoNext(e,o,t){if(null==e&&null==o&&canCellBeActive(e=o=t=0,o))return{row:e,cell:o,posX:o};var n=gotoRight(e,o,t);if(n)return n;var l=null,r=getDataLengthIncludingAddNew();for(e===r-1&&e--;++e<r;)if(null!==(l=findFirstFocusableCell(e)))return{row:e,cell:l,posX:l};return null}function gotoPrev(e,o,t){if(null==e&&null==o&&canCellBeActive(e=getDataLengthIncludingAddNew()-1,o=t=columns.length-1))return{row:e,cell:o,posX:o};for(var n,l;!n&&!(n=gotoLeft(e,o,t));){if(--e<0)return null;o=0,null!==(l=findLastFocusableCell(e))&&(n={row:e,cell:l,posX:l})}return n}function gotoRowStart(e,o,t){var n=findFirstFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function gotoRowEnd(e,o,t){var n=findLastFocusableCell(e);return null===n?null:{row:e,cell:n,posX:n}}function navigateRight(){return navigate(\"right\")}function navigateLeft(){return navigate(\"left\")}function navigateDown(){return navigate(\"down\")}function navigateUp(){return navigate(\"up\")}function navigateNext(){return navigate(\"next\")}function navigatePrev(){return navigate(\"prev\")}function navigateRowStart(){return navigate(\"home\")}function navigateRowEnd(){return navigate(\"end\")}function navigate(e){if(!options.enableCellNavigation)return!1;if(!activeCellNode&&\"prev\"!=e&&\"next\"!=e)return!1;if(!getEditorLock().commitCurrentEdit())return!0;setFocus();tabbingDirection={up:-1,down:1,left:-1,right:1,prev:-1,next:1,home:-1,end:1}[e];var o=(0,{up:gotoUp,down:gotoDown,left:gotoLeft,right:gotoRight,prev:gotoPrev,next:gotoNext,home:gotoRowStart,end:gotoRowEnd}[e])(activeRow,activeCell,activePosX);if(o){if(hasFrozenRows&&options.frozenBottom&o.row==getDataLength())return;var t=o.row==getDataLength();return(!options.frozenBottom&&o.row>=actualFrozenRow||options.frozenBottom&&o.row<actualFrozenRow)&&scrollCellIntoView(o.row,o.cell,!t&&options.emulatePagingWhenScrolling),setActiveCellInternal(getCellNode(o.row,o.cell)),activePosX=o.posX,!0}return setActiveCellInternal(getCellNode(activeRow,activeCell)),!1}function getCellNode(e,o){if(rowsCache[e]){ensureCellNodesInRowsCache(e);try{return rowsCache[e].cellNodesByColumnIdx.length>o?rowsCache[e].cellNodesByColumnIdx[o][0]:null}catch(t){return rowsCache[e].cellNodesByColumnIdx[o]}}return null}function setActiveCell(e,o,t,n,l){initialized&&(e>getDataLength()||e<0||o>=columns.length||o<0||options.enableCellNavigation&&(scrollCellIntoView(e,o,!1),setActiveCellInternal(getCellNode(e,o),t,n,l)))}function canCellBeActive(e,o){if(!options.enableCellNavigation||e>=getDataLengthIncludingAddNew()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.focusable)return!!t.focusable;var n=t&&t.columns;return n&&n[columns[o].id]&&void 0!==n[columns[o].id].focusable?!!n[columns[o].id].focusable:n&&n[o]&&void 0!==n[o].focusable?!!n[o].focusable:!!columns[o].focusable}function canCellBeSelected(e,o){if(e>=getDataLength()||e<0||o>=columns.length||o<0)return!1;var t=data.getItemMetadata&&data.getItemMetadata(e);if(t&&void 0!==t.selectable)return!!t.selectable;var n=t&&t.columns&&(t.columns[columns[o].id]||t.columns[o]);return n&&void 0!==n.selectable?!!n.selectable:!!columns[o].selectable}function gotoCell(e,o,t,n){if(initialized&&canCellBeActive(e,o)&&getEditorLock().commitCurrentEdit()){scrollCellIntoView(e,o,!1);var l=getCellNode(e,o),r=columns[o],i=!!(options.editable&&r&&r.editor&&options.suppressActiveCellChangeOnEdit);setActiveCellInternal(l,t||e===getDataLength()||options.autoEdit,null,i,n),currentEditor||setFocus()}}function commitCurrentEdit(){var e=getDataItem(activeRow),o=columns[activeCell];if(currentEditor){if(currentEditor.isValueChanged()){var t=currentEditor.validate();if(t.valid){if(activeRow<getDataLength()){var n={row:activeRow,cell:activeCell,editor:currentEditor,serializedValue:currentEditor.serializeValue(),prevSerializedValue:serializedEditorValue,execute:function(){this.editor.applyValue(e,this.serializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})},undo:function(){this.editor.applyValue(e,this.prevSerializedValue),updateRow(this.row),trigger(self.onCellChange,{row:this.row,cell:this.cell,item:e})}};options.editCommandHandler?(makeActiveCellNormal(),options.editCommandHandler(e,o,n)):(n.execute(),makeActiveCellNormal())}else{var l={};currentEditor.applyValue(l,currentEditor.serializeValue()),makeActiveCellNormal(),trigger(self.onAddNewRow,{item:l,column:o})}return!getEditorLock().isActive()}return $(activeCellNode).removeClass(\"invalid\"),$(activeCellNode).width(),$(activeCellNode).addClass(\"invalid\"),trigger(self.onValidationError,{editor:currentEditor,cellNode:activeCellNode,validationResults:t,row:activeRow,cell:activeCell,column:o}),currentEditor.focus(),!1}makeActiveCellNormal()}return!0}function cancelCurrentEdit(){return makeActiveCellNormal(),!0}function rowsToRanges(e){for(var o=[],t=columns.length-1,n=0;n<e.length;n++)o.push(new Slick.Range(e[n],0,e[n],t));return o}function getSelectedRows(){if(!selectionModel)throw new Error(\"Selection model is not set\");return selectedRows.slice(0)}function setSelectedRows(e){if(!selectionModel)throw new Error(\"Selection model is not set\");self&&self.getEditorLock&&!self.getEditorLock().isActive()&&selectionModel.setSelectedRanges(rowsToRanges(e))}this.debug=function(){var e=\"\";e+=\"\\ncounter_rows_rendered:  \"+counter_rows_rendered,e+=\"\\ncounter_rows_removed:  \"+counter_rows_removed,e+=\"\\nrenderedRows:  \"+renderedRows,e+=\"\\nnumVisibleRows:  \"+numVisibleRows,e+=\"\\nmaxSupportedCssHeight:  \"+maxSupportedCssHeight,e+=\"\\nn(umber of pages):  \"+n,e+=\"\\n(current) page:  \"+page,e+=\"\\npage height (ph):  \"+ph,e+=\"\\nvScrollDir:  \"+vScrollDir,alert(e)},this.eval=function(expr){return eval(expr)},$.extend(this,{slickGridVersion:\"2.4.27\",onScroll:new Slick.Event,onSort:new Slick.Event,onHeaderMouseEnter:new Slick.Event,onHeaderMouseLeave:new Slick.Event,onHeaderContextMenu:new Slick.Event,onHeaderClick:new Slick.Event,onHeaderCellRendered:new Slick.Event,onBeforeHeaderCellDestroy:new Slick.Event,onHeaderRowCellRendered:new Slick.Event,onFooterRowCellRendered:new Slick.Event,onFooterContextMenu:new Slick.Event,onFooterClick:new Slick.Event,onBeforeHeaderRowCellDestroy:new Slick.Event,onBeforeFooterRowCellDestroy:new Slick.Event,onMouseEnter:new Slick.Event,onMouseLeave:new Slick.Event,onClick:new Slick.Event,onDblClick:new Slick.Event,onContextMenu:new Slick.Event,onKeyDown:new Slick.Event,onAddNewRow:new Slick.Event,onBeforeAppendCell:new Slick.Event,onValidationError:new Slick.Event,onViewportChanged:new Slick.Event,onColumnsReordered:new Slick.Event,onColumnsDrag:new Slick.Event,onColumnsResized:new Slick.Event,onBeforeColumnsResize:new Slick.Event,onCellChange:new Slick.Event,onBeforeEditCell:new Slick.Event,onBeforeCellEditorDestroy:new Slick.Event,onBeforeDestroy:new Slick.Event,onActiveCellChanged:new Slick.Event,onActiveCellPositionChanged:new Slick.Event,onDragInit:new Slick.Event,onDragStart:new Slick.Event,onDrag:new Slick.Event,onDragEnd:new Slick.Event,onSelectedRowsChanged:new Slick.Event,onCellCssStylesChanged:new Slick.Event,onAutosizeColumns:new Slick.Event,onRendered:new Slick.Event,onSetOptions:new Slick.Event,registerPlugin,unregisterPlugin,getPluginByName,getColumns,setColumns,getColumnIndex,updateColumnHeader,setSortColumn,setSortColumns,getSortColumns,autosizeColumns,autosizeColumn,getOptions,setOptions,getData,getDataLength,getDataItem,setData,getSelectionModel,setSelectionModel,getSelectedRows,setSelectedRows,getContainerNode,updatePagingStatusFromView,applyFormatResultToCellNode,render,invalidate,invalidateRow,invalidateRows,invalidateAllRows,updateCell,updateRow,getViewport:getVisibleRange,getRenderedRange,resizeCanvas,updateRowCount,scrollRowIntoView,scrollRowToTop,scrollCellIntoView,scrollColumnIntoView,getCanvasNode,getUID,getHeaderColumnWidthDiff,getScrollbarDimensions,getHeadersWidth,getCanvasWidth,getCanvases,getActiveCanvasNode,setActiveCanvasNode,getViewportNode,getActiveViewportNode,setActiveViewportNode,focus:setFocus,scrollTo,getCellFromPoint,getCellFromEvent,getActiveCell,setActiveCell,getActiveCellNode,getActiveCellPosition,resetActiveCell,editActiveCell:makeActiveCellEditable,getCellEditor,getCellNode,getCellNodeBox,canCellBeSelected,canCellBeActive,navigatePrev,navigateNext,navigateUp,navigateDown,navigateLeft,navigateRight,navigatePageUp,navigatePageDown,navigateTop,navigateBottom,navigateRowStart,navigateRowEnd,gotoCell,getTopPanel,setTopPanelVisibility,getPreHeaderPanel,getPreHeaderPanelLeft:getPreHeaderPanel,getPreHeaderPanelRight,setPreHeaderPanelVisibility,getHeader,getHeaderColumn,setHeaderRowVisibility,getHeaderRow,getHeaderRowColumn,setFooterRowVisibility,getFooterRow,getFooterRowColumn,getGridPosition,flashCell,addCellCssStyles,setCellCssStyles,removeCellCssStyles,getCellCssStyles,getFrozenRowOffset,setColumnHeaderVisibility,init:finishInitialization,destroy,getEditorLock,getEditController}),init()}module.exports={Grid:SlickGrid}},\n      465: function _(t,e,a){\n      /*!\n           * jquery.event.drag - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(458);n.fn.drag=function(t,e,a){var r=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==r.indexOf(\"drag\")&&(r=\"drag\"+r),a=(t==o?e:a)||{},o?this.on(r,a,o):this.trigger(r)};var r=n.event,o=r.special,i=o.drag={defaults:{which:1,distance:0,not:\":input\",handle:null,relative:!1,drop:!0,click:!1},datakey:\"dragdata\",noBubble:!0,add:function(t){var e=n.data(this,i.datakey),a=t.data||{};e.related+=1,n.each(i.defaults,(function(t,n){void 0!==a[t]&&(e[t]=a[t])}))},remove:function(){n.data(this,i.datakey).related-=1},setup:function(){if(!n.data(this,i.datakey)){var t=n.extend({related:0},i.defaults);n.data(this,i.datakey,t),r.add(this,\"touchstart mousedown\",i.init,t),this.attachEvent&&this.attachEvent(\"ondragstart\",i.dontstart)}},teardown:function(){(n.data(this,i.datakey)||{}).related||(n.removeData(this,i.datakey),r.remove(this,\"touchstart mousedown\",i.init),i.textselect(!0),this.detachEvent&&this.detachEvent(\"ondragstart\",i.dontstart))},init:function(t){if(!i.touched){var e,a=t.data;if(!(0!=t.which&&a.which>0&&t.which!=a.which)){var d=n(t.target).attr(\"class\")||\"\";if(!n(t.target).is(a.not)&&d&&-1!==d.toString().indexOf(\"slick\")&&(!a.handle||n(t.target).closest(a.handle,t.currentTarget).length)&&(i.touched=\"touchstart\"==t.type?this:null,a.propagates=1,a.mousedown=this,a.interactions=[i.interaction(this,a)],a.target=t.target,a.pageX=t.pageX,a.pageY=t.pageY,a.dragging=null,e=i.hijack(t,\"draginit\",a),a.propagates))return(e=i.flatten(e))&&e.length&&(a.interactions=[],n.each(e,(function(){a.interactions.push(i.interaction(this,a))}))),a.propagates=a.interactions.length,!1!==a.drop&&o.drop&&o.drop.handler(t,a),i.textselect(!1),i.touched?r.add(i.touched,\"touchmove touchend\",i.handler,a):r.add(document,\"mousemove mouseup\",i.handler,a),!(!i.touched||a.live)&&void 0}}},interaction:function(t,e){var a=t&&t.ownerDocument&&n(t)[e.relative?\"position\":\"offset\"]()||{top:0,left:0};return{drag:t,callback:new i.callback,droppable:[],offset:a}},handler:function(t){var e=t.data;switch(t.type){case!e.dragging&&\"touchmove\":t.preventDefault();case!e.dragging&&\"mousemove\":if(Math.pow(t.pageX-e.pageX,2)+Math.pow(t.pageY-e.pageY,2)<Math.pow(e.distance,2))break;t.target=e.target,i.hijack(t,\"dragstart\",e),e.propagates&&(e.dragging=!0);case\"touchmove\":t.preventDefault();case\"mousemove\":if(e.dragging){if(i.hijack(t,\"drag\",e),e.propagates){!1!==e.drop&&o.drop&&o.drop.handler(t,e);break}t.type=\"mouseup\"}case\"touchend\":case\"mouseup\":default:i.touched?r.remove(i.touched,\"touchmove touchend\",i.handler):r.remove(document,\"mousemove mouseup\",i.handler),e.dragging&&(!1!==e.drop&&o.drop&&o.drop.handler(t,e),i.hijack(t,\"dragend\",e)),i.textselect(!0),!1===e.click&&e.dragging&&n.data(e.mousedown,\"suppress.click\",(new Date).getTime()+5),e.dragging=i.touched=!1}},hijack:function(t,e,a,o,d){if(a){var s,c,l,p={event:t.originalEvent,type:t.type},u=e.indexOf(\"drop\")?\"drag\":\"drop\",g=o||0,h=isNaN(o)?a.interactions.length:o;t.type=e;var f=function(){};t.originalEvent=new n.Event(p.event,{preventDefault:f,stopPropagation:f,stopImmediatePropagation:f}),a.results=[];do{if(c=a.interactions[g]){if(\"dragend\"!==e&&c.cancelled)continue;l=i.properties(t,a,c),c.results=[],n(d||c[u]||a.droppable).each((function(o,d){if(l.target=d,t.isPropagationStopped=function(){return!1},!1===(s=d?r.dispatch.call(d,t,l):null)?(\"drag\"==u&&(c.cancelled=!0,a.propagates-=1),\"drop\"==e&&(c[u][o]=null)):\"dropinit\"==e&&c.droppable.push(i.element(s)||d),\"dragstart\"==e&&(c.proxy=n(i.element(s)||c.drag)[0]),c.results.push(s),delete t.result,\"dropinit\"!==e)return s})),a.results[g]=i.flatten(c.results),\"dropinit\"==e&&(c.droppable=i.flatten(c.droppable)),\"dragstart\"!=e||c.cancelled||l.update()}}while(++g<h);return t.type=p.type,t.originalEvent=p.event,i.flatten(a.results)}},properties:function(t,e,a){var n=a.callback;return n.drag=a.drag,n.proxy=a.proxy||a.drag,n.startX=e.pageX,n.startY=e.pageY,n.deltaX=t.pageX-e.pageX,n.deltaY=t.pageY-e.pageY,n.originalX=a.offset.left,n.originalY=a.offset.top,n.offsetX=n.originalX+n.deltaX,n.offsetY=n.originalY+n.deltaY,n.drop=i.flatten((a.drop||[]).slice()),n.available=i.flatten((a.droppable||[]).slice()),n},element:function(t){if(t&&(t.jquery||1==t.nodeType))return t},flatten:function(t){return n.map(t,(function(t){return t&&t.jquery?n.makeArray(t):t&&t.length?i.flatten(t):t}))},textselect:function(t){n(document)[t?\"off\":\"on\"](\"selectstart\",i.dontstart).css(\"MozUserSelect\",t?\"\":\"none\"),document.unselectable=t?\"off\":\"on\"},dontstart:function(){return!1},callback:function(){}};i.callback.prototype={update:function(){o.drop&&this.available.length&&n.each(this.available,(function(t){o.drop.locate(this,t)}))}};var d=r.dispatch;r.dispatch=function(t){if(!(n.data(this,\"suppress.\"+t.type)-(new Date).getTime()>0))return d.apply(this,arguments);n.removeData(this,\"suppress.\"+t.type)},o.draginit=o.dragstart=o.dragend=i},\n      466: function _(t,e,a){\n      /*!\n           * jquery.event.drop - v 2.3.0\n           * Copyright (c) 2010 Three Dub Media - http://threedubmedia.com\n           * Open Source MIT License - http://threedubmedia.com/code/license\n           */\n      var n=t(458);n.fn.drop=function(t,e,a){var i=\"string\"==typeof t?t:\"\",o=n.isFunction(t)?t:n.isFunction(e)?e:null;return 0!==i.indexOf(\"drop\")&&(i=\"drop\"+i),a=(t==o?e:a)||{},o?this.on(i,a,o):this.trigger(i)},n.drop=function(t){t=t||{},o.multi=!0===t.multi?1/0:!1===t.multi?1:isNaN(t.multi)?o.multi:t.multi,o.delay=t.delay||o.delay,o.tolerance=n.isFunction(t.tolerance)?t.tolerance:null===t.tolerance?null:o.tolerance,o.mode=t.mode||o.mode||\"intersect\"};var i=n.event.special,o=n.event.special.drop={multi:1,delay:20,mode:\"overlap\",targets:[],datakey:\"dropdata\",noBubble:!0,add:function(t){n.data(this,o.datakey).related+=1},remove:function(){n.data(this,o.datakey).related-=1},setup:function(){if(!n.data(this,o.datakey)){n.data(this,o.datakey,{related:0,active:[],anyactive:0,winner:0,location:{}}),o.targets.push(this)}},teardown:function(){if(!(n.data(this,o.datakey)||{}).related){n.removeData(this,o.datakey);var t=this;o.targets=n.grep(o.targets,(function(e){return e!==t}))}},handler:function(t,e){var a;if(e)switch(t.type){case\"mousedown\":case\"touchstart\":a=n(o.targets),\"string\"==typeof e.drop&&(a=a.filter(e.drop)),a.each((function(){var t=n.data(this,o.datakey);t.active=[],t.anyactive=0,t.winner=0})),e.droppable=a,i.drag.hijack(t,\"dropinit\",e);break;case\"mousemove\":case\"touchmove\":o.event=t,o.timer||o.tolerate(e);break;case\"mouseup\":case\"touchend\":o.timer=clearTimeout(o.timer),e.propagates&&(i.drag.hijack(t,\"drop\",e),i.drag.hijack(t,\"dropend\",e))}},locate:function(t,e){var a=n.data(t,o.datakey),i=n(t),r=i.length&&!i.is(document)?i.offset():{},d=i.outerHeight(),l=i.outerWidth(),c={elem:t,width:l,height:d,top:r.top,left:r.left,right:r.left+l,bottom:r.top+d};return a&&(a.location=c,a.index=e,a.elem=t),c},contains:function(t,e){return(e[0]||e.left)>=t.left&&(e[0]||e.right)<=t.right&&(e[1]||e.top)>=t.top&&(e[1]||e.bottom)<=t.bottom},modes:{intersect:function(t,e,a){return this.contains(a,[t.pageX,t.pageY])?1e9:this.modes.overlap.apply(this,arguments)},overlap:function(t,e,a){return Math.max(0,Math.min(a.bottom,e.bottom)-Math.max(a.top,e.top))*Math.max(0,Math.min(a.right,e.right)-Math.max(a.left,e.left))},fit:function(t,e,a){return this.contains(a,e)?1:0},middle:function(t,e,a){return this.contains(a,[e.left+.5*e.width,e.top+.5*e.height])?1:0}},sort:function(t,e){return e.winner-t.winner||t.index-e.index},tolerate:function(t){var e,a,r,d,l,c,s,u,p=0,h=t.interactions.length,m=[o.event.pageX,o.event.pageY],f=o.tolerance||o.modes[o.mode];do{if(u=t.interactions[p]){if(!u)return;u.drop=[],l=[],c=u.droppable.length,f&&(r=o.locate(u.proxy)),e=0;do{if(s=u.droppable[e]){if(!(a=(d=n.data(s,o.datakey)).location))continue;d.winner=f?f.call(o,o.event,r,a):o.contains(a,m)?1:0,l.push(d)}}while(++e<c);l.sort(o.sort),e=0;do{(d=l[e])&&(d.winner&&u.drop.length<o.multi?(d.active[p]||d.anyactive||(!1!==i.drag.hijack(o.event,\"dropstart\",t,p,d.elem)[0]?(d.active[p]=1,d.anyactive+=1):d.winner=0),d.winner&&u.drop.push(d.elem)):d.active[p]&&1==d.anyactive&&(i.drag.hijack(o.event,\"dropend\",t,p,d.elem),d.active[p]=0,d.anyactive-=1))}while(++e<c)}}while(++p<h);o.last&&m[0]==o.last.pageX&&m[1]==o.last.pageY?delete o.timer:o.timer=setTimeout((function(){o.tolerate(t)}),o.delay),o.last=o.event}};i.dropinit=i.dropstart=i.dropend=o},\n      467: function _(e,t,n){var r=e(458),o=e(460);var i={Avg:function(e){this.field_=e,this.init=function(){this.count_=0,this.nonNullCount_=0,this.sum_=0},this.accumulate=function(e){var t=e[this.field_];this.count_++,null==t||\"\"===t||isNaN(t)||(this.nonNullCount_++,this.sum_+=parseFloat(t))},this.storeResult=function(e){e.avg||(e.avg={}),0!==this.nonNullCount_&&(e.avg[this.field_]=this.sum_/this.nonNullCount_)}},Min:function(e){this.field_=e,this.init=function(){this.min_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(null==this.min_||t<this.min_)&&(this.min_=t)},this.storeResult=function(e){e.min||(e.min={}),e.min[this.field_]=this.min_}},Max:function(e){this.field_=e,this.init=function(){this.max_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(null==this.max_||t>this.max_)&&(this.max_=t)},this.storeResult=function(e){e.max||(e.max={}),e.max[this.field_]=this.max_}},Sum:function(e){this.field_=e,this.init=function(){this.sum_=null},this.accumulate=function(e){var t=e[this.field_];null==t||\"\"===t||isNaN(t)||(this.sum_+=parseFloat(t))},this.storeResult=function(e){e.sum||(e.sum={}),e.sum[this.field_]=this.sum_}},Count:function(e){this.field_=e,this.init=function(){},this.storeResult=function(e){e.count||(e.count={}),e.count[this.field_]=e.group.rows.length}}};t.exports={DataView:function(e){var t,n,i,l,a,u=this,s=\"id\",g=[],c=[],f={},p=null,h=null,d=null,m=!1,v=!0,_={},w={},y=[],$=[],C={getter:null,formatter:null,comparer:function(e,t){return e.value===t.value?0:e.value>t.value?1:-1},predefinedValues:[],aggregators:[],aggregateEmpty:!1,aggregateCollapsed:!1,aggregateChildGroups:!1,collapsed:!1,displayTotalsRow:!0,lazyTotalsCalculation:!1},I=[],R=[],x=[],E=0,M=0,F=0,S=new o.Event,b=new o.Event,A=new o.Event,N=new o.Event,G=new o.Event,T=new o.Event,O=new o.Event,P=new o.Event;function D(e){for(var t,n=e=e||0,r=g.length;n<r;n++){if(void 0===(t=g[n][s]))throw new Error(\"Each data element must implement a unique 'id' property\");f[t]=n}}function K(){var e=E?Math.max(1,Math.ceil(F/E)):1;return{pageSize:E,pageNum:M,totalRows:F,totalPages:e,dataView:u}}function j(e,r){v=r,n=e,t=null,!1===r&&g.reverse(),g.sort(e),!1===r&&g.reverse(),f={},D(),le()}function B(e,r){v=r,t=e,n=null;var o=Object.prototype.toString;Object.prototype.toString=\"function\"==typeof e?e:function(){return this[e]},!1===r&&g.reverse(),g.sort(),Object.prototype.toString=o,!1===r&&g.reverse(),f={},D(),le()}function z(t){e.groupItemMetadataProvider||(e.groupItemMetadataProvider=new o.Data.GroupItemMetadataProvider),R=[],x=[],I=(t=t||[])instanceof Array?t:[t];for(var n=0;n<I.length;n++){var i=I[n]=r.extend(!0,{},C,I[n]);i.getterIsAFn=\"function\"==typeof i.getter,i.compiledAccumulators=[];for(var l=i.aggregators.length;l--;)i.compiledAccumulators[l]=ee(i.aggregators[l]);x[n]={}}le()}function V(){if(!p){p={};for(var e=0,t=c.length;e<t;e++)p[c[e][s]]=e}}function q(e){return g[f[e]]}function U(e,t){if(void 0===f[e])throw new Error(\"Invalid id\");if(e!==t[s]){var n=t[s];if(null==n)throw new Error(\"Cannot update item to associate with a null id\");if(void 0!==f[n])throw new Error(\"Cannot update item to associate with a non-unique id\");f[n]=f[e],delete f[e],d&&d[e]&&delete d[e],e=n}g[f[e]]=t,d||(d={}),d[e]=!0,le()}function L(e,t){g.splice(e,0,t),D(e),le()}function k(e){var t=f[e];if(void 0===t)throw new Error(\"Invalid id\");delete f[e],g.splice(t,1),D(t),le()}function H(e){if(!n)throw new Error(\"sortedAddItem() requires a sort comparer, use sort()\");L(function(e){var t=0,r=g.length;for(;t<r;){var o=t+r>>>1;-1===n(g[o],e)?t=o+1:r=o}return t}(e),e)}function W(e,t){if(null==e)for(var n=0;n<I.length;n++)x[n]={},I[n].collapsed=t,!0===t?P.notify({level:n,groupingKey:null}):O.notify({level:n,groupingKey:null});else x[e]={},I[e].collapsed=t,!0===t?P.notify({level:e,groupingKey:null}):O.notify({level:e,groupingKey:null});le()}function J(e,t,n){x[e][t]=I[e].collapsed^n,le()}function Q(e,t){for(var n,r,i,l=[],a={},u=t?t.level+1:0,s=I[u],g=0,c=s.predefinedValues.length;g<c;g++)(n=a[r=s.predefinedValues[g]])||((n=new o.Group).value=r,n.level=u,n.groupingKey=(t?t.groupingKey+\":|:\":\"\")+r,l[l.length]=n,a[r]=n);for(g=0,c=e.length;g<c;g++)i=e[g],(n=a[r=s.getterIsAFn?s.getter(i):i[s.getter]])||((n=new o.Group).value=r,n.level=u,n.groupingKey=(t?t.groupingKey+\":|:\":\"\")+r,l[l.length]=n,a[r]=n),n.rows[n.count++]=i;if(u<I.length-1)for(g=0;g<l.length;g++)(n=l[g]).groups=Q(n.rows,n);return l.length&&function e(t,n){var 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t=e.toString().indexOf(\"function\")>=0?/^function[^(]*\\(([^)]*)\\)\\s*{([\\s\\S]*)}$/:/^[^(]*\\(([^)]*)\\)\\s*{([\\s\\S]*)}$/,n=e.toString().match(t);return{params:n[1].split(\",\"),body:n[2]}}function ee(e){if(e.accumulate){var t=Z(e.accumulate),n=new Function(\"_items\",\"for (var \"+t.params[0]+\", _i=0, _il=_items.length; _i<_il; _i++) {\"+t.params[0]+\" = _items[_i]; \"+t.body+\"}\"),r=\"compiledAccumulatorLoop\";return n.displayName=r,n.name=te(n,r),n}return function(){}}function te(e,t){try{Object.defineProperty(e,\"name\",{writable:!0,value:t})}catch(n){e.name=t}}function ne(e,t){for(var n=[],r=0,o=0,i=e.length;o<i;o++)h(e[o],t)&&(n[r++]=e[o]);return n}function re(e,t,n){for(var r,o=[],i=0,l=0,a=e.length;l<a;l++)r=e[l],n[l]?o[i++]=r:h(r,t)&&(o[i++]=r,n[l]=!0);return o}function oe(t){if(h){var n=e.inlineFilters?l:ne,r=e.inlineFilters?a:re;_.isFilterNarrowing?y=n(y,i):_.isFilterExpanding?y=r(t,i,$):_.isFilterUnchanged||(y=n(t,i))}else y=E?t:t.concat();var o;return 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t,i;this.init=function(){(t=n(\"<SELECT tabIndex='0' class='editor-yesno'><OPTION value='yes'>Yes</OPTION><OPTION value='no'>No</OPTION></SELECT>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){t.val((i=n[e.column.field])?\"yes\":\"no\"),t.select()},this.serializeValue=function(){return\"yes\"==t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return t.val()!=i},this.validate=function(){return{valid:!0,msg:null}},this.init()},Checkbox:function(e){var t,i;this.init=function(){(t=n(\"<INPUT type=checkbox value='true' class='editor-checkbox' hideFocus>\")).appendTo(e.container),t.focus()},this.destroy=function(){t.remove()},this.focus=function(){t.focus()},this.loadValue=function(n){(i=!!n[e.column.field])?t.prop(\"checked\",!0):t.prop(\"checked\",!1)},this.preClick=function(){t.prop(\"checked\",!t.prop(\"checked\"))},this.serializeValue=function(){return t.prop(\"checked\")},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return this.serializeValue()!==i},this.validate=function(){return{valid:!0,msg:null}},this.init()},PercentComplete:function(e){var t,i,o;this.init=function(){(t=n(\"<INPUT type=text class='editor-percentcomplete' />\")).width(n(e.container).innerWidth()-25),t.appendTo(e.container),(i=n(\"<div class='editor-percentcomplete-picker' />\").appendTo(e.container)).append(\"<div class='editor-percentcomplete-helper'><div class='editor-percentcomplete-wrapper'><div class='editor-percentcomplete-slider' /><div class='editor-percentcomplete-buttons' /></div></div>\"),i.find(\".editor-percentcomplete-buttons\").append(\"<button val=0>Not started</button><br/><button val=50>In Progress</button><br/><button val=100>Complete</button>\"),t.focus().select(),i.find(\".editor-percentcomplete-slider\").slider({orientation:\"vertical\",range:\"min\",value:o,slide:function(e,i){t.val(i.value)}}),i.find(\".editor-percentcomplete-buttons button\").on(\"click\",(function(e){t.val(n(this).attr(\"val\")),i.find(\".editor-percentcomplete-slider\").slider(\"value\",n(this).attr(\"val\"))}))},this.destroy=function(){t.remove(),i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(o=i[e.column.field]),t.select()},this.serializeValue=function(){return parseInt(t.val(),10)||0},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==o)&&(parseInt(t.val(),10)||0)!=o},this.validate=function(){return isNaN(parseInt(t.val(),10))?{valid:!1,msg:\"Please enter a valid positive number\"}:{valid:!0,msg:null}},this.init()},LongText:function(e){var t,i,l,a=this;this.init=function(){var o=n(\"body\");e.grid.getOptions().editorCellNavOnLRKeys;i=n(\"<DIV style='z-index:10000;position:absolute;background:white;padding:5px;border:3px solid gray; -moz-border-radius:10px; border-radius:10px;'/>\").appendTo(o),t=n(\"<TEXTAREA hidefocus rows=5 style='background:white;width:250px;height:80px;border:0;outline:0'>\").appendTo(i),n(\"<DIV style='text-align:right'><BUTTON>Save</BUTTON><BUTTON>Cancel</BUTTON></DIV>\").appendTo(i),i.find(\"button:first\").on(\"click\",this.save),i.find(\"button:last\").on(\"click\",this.cancel),t.on(\"keydown\",this.handleKeyDown),a.position(e.position),t.focus().select()},this.handleKeyDown=function(t){if(t.which==o.keyCode.ENTER&&t.ctrlKey)a.save();else if(t.which==o.keyCode.ESCAPE)t.preventDefault(),a.cancel();else if(t.which==o.keyCode.TAB&&t.shiftKey)t.preventDefault(),e.grid.navigatePrev();else if(t.which==o.keyCode.TAB)t.preventDefault(),e.grid.navigateNext();else if((t.which==o.keyCode.LEFT||t.which==o.keyCode.RIGHT)&&e.grid.getOptions().editorCellNavOnLRKeys){var i=this.selectionStart,n=this.value.length;t.keyCode===o.keyCode.LEFT&&0===i&&e.grid.navigatePrev(),t.keyCode===o.keyCode.RIGHT&&i>=n-1&&e.grid.navigateNext()}},this.save=function(){e.commitChanges()},this.cancel=function(){t.val(l),e.cancelChanges()},this.hide=function(){i.hide()},this.show=function(){i.show()},this.position=function(e){i.css(\"top\",e.top-5).css(\"left\",e.left-5)},this.destroy=function(){i.remove()},this.focus=function(){t.focus()},this.loadValue=function(i){t.val(l=i[e.column.field]),t.select()},this.serializeValue=function(){return t.val()},this.applyValue=function(t,i){t[e.column.field]=i},this.isValueChanged=function(){return!(\"\"===t.val()&&null==l)&&t.val()!=l},this.validate=function(){if(e.column.validator){var i=e.column.validator(t.val());if(!i.valid)return i}return{valid:!0,msg:null}},this.init()}}}},\n      469: function _(e,n,r){e(460);n.exports={Formatters:{PercentComplete:function(e,n,r,t,c){return null==r||\"\"===r?\"-\":r<50?\"<span style='color:red;font-weight:bold;'>\"+r+\"%</span>\":\"<span style='color:green'>\"+r+\"%</span>\"},PercentCompleteBar:function(e,n,r,t,c){return null==r||\"\"===r?\"\":\"<span class='percent-complete-bar' style='background:\"+(r<30?\"red\":r<70?\"silver\":\"green\")+\";width:\"+r+\"%'></span>\"},YesNo:function(e,n,r,t,c){return r?\"Yes\":\"No\"},Checkmark:function(e,n,r,t,c){return r?\"<img src='../images/tick.png'>\":\"\"},Checkbox:function(e,n,r,t,c){return'<img class=\"slick-edit-preclick\" src=\"../images/'+(r?\"CheckboxY\":\"CheckboxN\")+'.png\">'}}}},\n      470: function _(t,o,r){var e=t(458),n=t(460);o.exports={RemoteModel:function(){var t={length:0},o=\"\",r=null,a=1,l=null,i=null,s=new n.Event,u=new n.Event;function f(){for(var o in t)delete t[o];t.length=0}function c(n,f){if(i){i.abort();for(var c=i.fromPage;c<=i.toPage;c++)t[50*c]=void 0}n<0&&(n=0),t.length>0&&(f=Math.min(f,t.length-1));for(var d=Math.floor(n/50),v=Math.floor(f/50);void 0!==t[50*d]&&d<v;)d++;for(;void 0!==t[50*v]&&d<v;)v--;if(d>v||d==v&&void 0!==t[50*d])u.notify({from:n,to:f});else{var m=\"http://octopart.com/api/v3/parts/search?apikey=68b25f31&include[]=short_description&show[]=uid&show[]=manufacturer&show[]=mpn&show[]=brand&show[]=octopart_url&show[]=short_description&q=\"+o+\"&start=\"+50*d+\"&limit=\"+(50*(v-d)+50);null!=r&&(m+=\"&sortby=\"+r+(a>0?\"+asc\":\"+desc\")),null!=l&&clearTimeout(l),l=setTimeout((function(){for(var o=d;o<=v;o++)t[50*o]=null;s.notify({from:n,to:f}),(i=e.jsonp({url:m,callbackParameter:\"callback\",cache:!0,success:h,error:function(){!function(t,o){alert(\"error loading pages \"+t+\" to \"+o)}(d,v)}})).fromPage=d,i.toPage=v}),50)}}function h(o){var r=o.request.start,e=r+o.results.length;t.length=Math.min(parseInt(o.hits),1e3);for(var n=0;n<o.results.length;n++){var a=o.results[n].item;t[r+n]=a,t[r+n].index=r+n}i=null,u.notify({from:r,to:e})}return{data:t,clear:f,isDataLoaded:function(o,r){for(var e=o;e<=r;e++)if(null==t[e]||null==t[e])return!1;return!0},ensureData:c,reloadData:function(o,r){for(var e=o;e<=r;e++)delete t[e];c(o,r)},setSort:function(t,o){r=t,a=o,f()},setSearch:function(t){o=t,f()},onDataLoading:s,onDataLoaded:u}}}},\n      471: function _(e,s,t){var o=e(458),l=e(460);s.exports={GroupItemMetadataProvider:function(e){var s,t={checkboxSelect:!1,checkboxSelectCssClass:\"slick-group-select-checkbox\",checkboxSelectPlugin:null,groupCssClass:\"slick-group\",groupTitleCssClass:\"slick-group-title\",totalsCssClass:\"slick-group-totals\",groupFocusable:!0,totalsFocusable:!1,toggleCssClass:\"slick-group-toggle\",toggleExpandedCssClass:\"expanded\",toggleCollapsedCssClass:\"collapsed\",enableExpandCollapse:!0,groupFormatter:function(e,s,t,o,l,r){if(!a.enableExpandCollapse)return l.title;var c=15*l.level+\"px\";return(a.checkboxSelect?'<span class=\"'+a.checkboxSelectCssClass+\" \"+(l.selectChecked?\"checked\":\"unchecked\")+'\"></span>':\"\")+\"<span class='\"+a.toggleCssClass+\" \"+(l.collapsed?a.toggleCollapsedCssClass:a.toggleExpandedCssClass)+\"' style='margin-left:\"+c+\"'></span><span class='\"+a.groupTitleCssClass+\"' level='\"+l.level+\"'>\"+l.title+\"</span>\"},totalsFormatter:function(e,s,t,o,l,a){return o.groupTotalsFormatter&&o.groupTotalsFormatter(l,o,a)||\"\"},includeHeaderTotals:!1},a=o.extend(!0,{},t,e);function r(e,t){var r=o(e.target),c=this.getDataItem(t.row);if(c&&c instanceof l.Group&&r.hasClass(a.toggleCssClass)){var n=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:n.top,ignoreDiffsAfter:n.bottom+1}),c.collapsed?this.getData().expandGroup(c.groupingKey):this.getData().collapseGroup(c.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}if(c&&c instanceof l.Group&&r.hasClass(a.checkboxSelectCssClass)){c.selectChecked=!c.selectChecked,r.removeClass(c.selectChecked?\"unchecked\":\"checked\"),r.addClass(c.selectChecked?\"checked\":\"unchecked\");var i=s.getData().mapItemsToRows(c.rows);(c.selectChecked?a.checkboxSelectPlugin.selectRows:a.checkboxSelectPlugin.deSelectRows)(i)}}function c(e,t){if(a.enableExpandCollapse&&e.which==l.keyCode.SPACE){var o=this.getActiveCell();if(o){var r=this.getDataItem(o.row);if(r&&r instanceof l.Group){var c=s.getRenderedRange();this.getData().setRefreshHints({ignoreDiffsBefore:c.top,ignoreDiffsAfter:c.bottom+1}),r.collapsed?this.getData().expandGroup(r.groupingKey):this.getData().collapseGroup(r.groupingKey),e.stopImmediatePropagation(),e.preventDefault()}}}}return{init:function(e){(s=e).onClick.subscribe(r),s.onKeyDown.subscribe(c)},destroy:function(){s&&(s.onClick.unsubscribe(r),s.onKeyDown.unsubscribe(c))},getGroupRowMetadata:function(e){var s=e&&e.level;return{selectable:!1,focusable:a.groupFocusable,cssClasses:a.groupCssClass+\" slick-group-level-\"+s,formatter:a.includeHeaderTotals&&a.totalsFormatter,columns:{0:{colspan:a.includeHeaderTotals?\"1\":\"*\",formatter:a.groupFormatter,editor:null}}}},getTotalsRowMetadata:function(e){var s=e&&e.group&&e.group.level;return{selectable:!1,focusable:a.totalsFocusable,cssClasses:a.totalsCssClass+\" slick-group-level-\"+s,formatter:a.totalsFormatter,editor:null}},getOptions:function(){return a},setOptions:function(e){o.extend(!0,a,e)}}}}},\n      472: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(276),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n      473: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),n=e(472),c=e(114),a=s.__importStar(e(18));class o extends n.Widget{constructor(e){super(e)}static init_TableWidget(){this.define({source:[a.Instance],view:[a.Instance,()=>new c.CDSView]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.source,this.view.compute_indices())}}t.TableWidget=o,o.__name__=\"TableWidget\",o.init_TableWidget()},\n      474: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),o=t(475),n=t(455),l=r.__importStar(t(18)),a=t(29),d=t(81);class s extends d.Model{constructor(t){super(t)}static init_TableColumn(){this.define({field:[l.String],title:[l.String],width:[l.Number,300],formatter:[l.Instance,()=>new o.StringFormatter],editor:[l.Instance,()=>new n.StringEditor],sortable:[l.Boolean,!0],default_sort:[l.Sort,\"ascending\"]})}toColumn(){var t;return{id:a.uniqueId(),field:this.field,name:null!==(t=this.title)&&void 0!==t?t:this.field,width:this.width,formatter:null!=this.formatter?this.formatter.doFormat.bind(this.formatter):void 0,model:this.editor,editor:this.editor.default_view,sortable:this.sortable,defaultSortAsc:\"ascending\"==this.default_sort}}}i.TableColumn=s,s.__name__=\"TableColumn\",s.init_TableColumn()},\n      475: function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(186)),a=n.__importStar(t(188)),o=t(476),s=n.__importStar(t(18)),l=t(72),c=t(8),m=t(81);class _ extends m.Model{constructor(t){super(t)}doFormat(t,e,r,n,i){return null==r?\"\":(r+\"\").replace(/&/g,\"&amp;\").replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\")}}r.CellFormatter=_,_.__name__=\"CellFormatter\";class u extends _{constructor(t){super(t)}static init_StringFormatter(){this.define({font_style:[s.FontStyle,\"normal\"],text_align:[s.TextAlign,\"left\"],text_color:[s.Color]})}doFormat(t,e,r,n,i){const{font_style:a,text_align:o,text_color:s}=this,c=l.div({},null==r?\"\":\"\"+r);switch(a){case\"bold\":c.style.fontWeight=\"bold\";break;case\"italic\":c.style.fontStyle=\"italic\"}return null!=o&&(c.style.textAlign=o),null!=s&&(c.style.color=s),c.outerHTML}}r.StringFormatter=u,u.__name__=\"StringFormatter\",u.init_StringFormatter();class F extends u{constructor(t){super(t)}static init_ScientificFormatter(){this.define({nan_format:[s.String],precision:[s.Number,10],power_limit_high:[s.Number,5],power_limit_low:[s.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}doFormat(t,e,r,n,i){const a=r<=this.scientific_limit_low||r>=this.scientific_limit_high;let o=this.precision;return o<1&&(o=1),r=null!=r&&!isNaN(r)||null==this.nan_format?a?r.toExponential(o):r.toFixed(o).replace(/(\\.[0-9]*?)0+$/,\"$1\").replace(/\\.$/,\"\"):this.nan_format,super.doFormat(t,e,r,n,i)}}r.ScientificFormatter=F,F.__name__=\"ScientificFormatter\",F.init_ScientificFormatter();class d extends u{constructor(t){super(t)}static init_NumberFormatter(){this.define({format:[s.String,\"0,0\"],language:[s.String,\"en\"],rounding:[s.RoundingFunction,\"round\"],nan_format:[s.String]})}doFormat(t,e,r,n,i){const{format:o,language:s,nan_format:l}=this,c=(()=>{switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}})();return r=null!=r&&!isNaN(r)||null==l?a.format(r,o,s,c):l,super.doFormat(t,e,r,n,i)}}r.NumberFormatter=d,d.__name__=\"NumberFormatter\",d.init_NumberFormatter();class f extends _{constructor(t){super(t)}static init_BooleanFormatter(){this.define({icon:[s.String,\"check\"]})}doFormat(t,e,r,n,i){return r?l.i({class:this.icon}).outerHTML:\"\"}}r.BooleanFormatter=f,f.__name__=\"BooleanFormatter\",f.init_BooleanFormatter();class g extends u{constructor(t){super(t)}static init_DateFormatter(){this.define({format:[s.String,\"ISO-8601\"],nan_format:[s.String]})}getFormat(){switch(this.format){case\"ATOM\":case\"W3C\":case\"RFC-3339\":case\"ISO-8601\":return\"%Y-%m-%d\";case\"COOKIE\":return\"%a, %d %b %Y\";case\"RFC-850\":return\"%A, %d-%b-%y\";case\"RFC-1123\":case\"RFC-2822\":return\"%a, %e %b %Y\";case\"RSS\":case\"RFC-822\":case\"RFC-1036\":return\"%a, %e %b %y\";case\"TIMESTAMP\":return;default:return this.format}}doFormat(t,e,r,n,a){const{nan_format:o}=this;let s;return s=null!=(r=c.isString(r)?parseInt(r,10):r)&&!isNaN(r)&&-9223372036854776!==r||null==o?null==r?\"\":i.default(r,this.getFormat()):o,super.doFormat(t,e,s,n,a)}}r.DateFormatter=g,g.__name__=\"DateFormatter\",g.init_DateFormatter();class h extends _{constructor(t){super(t)}static init_HTMLTemplateFormatter(){this.define({template:[s.String,\"<%= value %>\"]})}doFormat(t,e,r,n,i){const{template:a}=this;if(null==r)return\"\";return o._.template(a)(Object.assign(Object.assign({},i),{value:r}))}}r.HTMLTemplateFormatter=h,h.__name__=\"HTMLTemplateFormatter\",h.init_HTMLTemplateFormatter()},\n      476: function _(e,n,t){var f=e(477),i=f.template;function o(e,n,t){return i(e,n,t)}o._=f,n.exports=o,\"function\"==typeof define&&define.amd?define((function(){return o})):\"undefined\"==typeof window&&\"undefined\"==typeof navigator||(window.UnderscoreTemplate=o)},\n      477: function 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n=e.length,t=0;t<n;t++){var a=e[t];if(null==r||!l.call(r,a))return!1;r=r[a]}return!!n};var h={escape:{\"&\":\"&amp;\",\"<\":\"&lt;\",\">\":\"&gt;\",'\"':\"&quot;\",\"'\":\"&#x27;\"}},v={escape:new RegExp(\"[\"+p.keys(h.escape).join(\"\")+\"]\",\"g\")};p.each([\"escape\"],(function(r){p[r]=function(e){return null==e?\"\":(\"\"+e).replace(v[r],(function(e){return h[r][e]}))}})),p.templateSettings={evaluate:/<%([\\s\\S]+?)%>/g,interpolate:/<%=([\\s\\S]+?)%>/g,escape:/<%-([\\s\\S]+?)%>/g};var g=/(.)^/,y={\"'\":\"'\",\"\\\\\":\"\\\\\",\"\\r\":\"r\",\"\\n\":\"n\",\"\\t\":\"t\",\"\\u2028\":\"u2028\",\"\\u2029\":\"u2029\"},j=/\\\\|'|\\r|\\n|\\t|\\u2028|\\u2029/g;p.template=function(r,e,n){var t;n=p.defaults({},n,p.templateSettings);var a=new RegExp([(n.escape||g).source,(n.interpolate||g).source,(n.evaluate||g).source].join(\"|\")+\"|$\",\"g\"),u=0,c=\"__p+='\";r.replace(a,(function(e,n,t,a,o){return c+=r.slice(u,o).replace(j,(function(r){return\"\\\\\"+y[r]})),n&&(c+=\"'+\\n((__t=(\"+n+\"))==null?'':_.escape(__t))+\\n'\"),t&&(c+=\"'+\\n((__t=(\"+t+\"))==null?'':__t)+\\n'\"),a&&(c+=\"';\\n\"+a+\"\\n__p+='\"),u=o+e.length,e})),c+=\"';\\n\",n.variable||(c=\"with(obj||{}){\\n\"+c+\"}\\n\"),c=\"var __t,__p='',__j=Array.prototype.join,print=function(){__p+=__j.call(arguments,'');};\\n\"+c+\"return __p;\\n\";try{t=new Function(n.variable||\"obj\",\"_\",c)}catch(r){throw r.source=c,r}if(e)return t(e,p);var o=function(r){return t.call(this,r,p)};return o.source=\"function(\"+(n.variable||\"obj\")+\"){\\n\"+c+\"}\",o},e.exports=p},\n      478: function _(e,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_data_table=\"bk-data-table\",b.bk_cell_index=\"bk-cell-index\",b.bk_header_index=\"bk-header-index\",b.bk_cell_editor=\"bk-cell-editor\",b.bk_cell_select=\"bk-cell-select\"},\n      479: function _(A,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default='\\n.bk-root {\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /*\\nIMPORTANT:\\nIn order to preserve the uniform grid appearance, all cell styles need to have padding, margin and border sizes.\\nNo built-in (selected, editable, highlight, flashing, invalid, loading, :focus) or user-specified CSS\\nclasses should alter those!\\n*/\\n  /* Menu button */\\n  /* Menu */\\n  /* Menu items */\\n  /* Disabled */\\n  /* Divider */\\n  /* Excluded item from Column Picker will be hidden */\\n}\\n.bk-root .slick-header.ui-state-default,\\n.bk-root .slick-headerrow.ui-state-default,\\n.bk-root .slick-footerrow.ui-state-default,\\n.bk-root .slick-top-panel-scroller.ui-state-default,\\n.bk-root .slick-group-header.ui-state-default {\\n  width: 100%;\\n  overflow: auto;\\n  position: relative;\\n  border-left: 0px !important;\\n}\\n.bk-root .slick-header.ui-state-default {\\n  overflow: inherit;\\n}\\n.bk-root .slick-header::-webkit-scrollbar,\\n.bk-root .slick-headerrow::-webkit-scrollbar,\\n.bk-root .slick-footerrow::-webkit-scrollbar {\\n  display: none;\\n}\\n.bk-root .slick-header-columns,\\n.bk-root .slick-headerrow-columns,\\n.bk-root .slick-footerrow-columns,\\n.bk-root .slick-group-header-columns {\\n  position: relative;\\n  white-space: nowrap;\\n  cursor: default;\\n  overflow: hidden;\\n}\\n.bk-root .slick-header-column.ui-state-default,\\n.bk-root .slick-group-header-column.ui-state-default {\\n  position: relative;\\n  display: inline-block;\\n  box-sizing: content-box !important;\\n  /* this here only for Firefox! */\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  height: 16px;\\n  line-height: 16px;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px !important;\\n  border-top: 0px !important;\\n  border-bottom: 0px !important;\\n  float: left;\\n}\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  margin: 0;\\n  padding: 4px;\\n  border-right: 1px solid silver;\\n  border-left: 0px;\\n  border-top: 0px;\\n  border-bottom: 0px;\\n  float: left;\\n  line-height: 20px;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-headerrow-column.ui-state-default,\\n.bk-root .slick-footerrow-column.ui-state-default {\\n  padding: 4px;\\n}\\n.bk-root .slick-header-column-sorted {\\n  font-style: italic;\\n}\\n.bk-root .slick-sort-indicator {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 6px;\\n  float: left;\\n}\\n.bk-root .slick-sort-indicator-numbered {\\n  display: inline-block;\\n  width: 8px;\\n  height: 5px;\\n  margin-left: 4px;\\n  margin-top: 0;\\n  line-height: 20px;\\n  float: left;\\n  font-family: Arial;\\n  font-style: normal;\\n  font-weight: bold;\\n  color: #6190CD;\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background: url(images/sort-desc.gif);\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background: url(images/sort-asc.gif);\\n}\\n.bk-root .slick-resizable-handle {\\n  position: absolute;\\n  font-size: 0.1px;\\n  display: block;\\n  cursor: col-resize;\\n  width: 9px;\\n  right: -5px;\\n  top: 0;\\n  height: 100%;\\n  z-index: 1;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver;\\n}\\n.bk-root .grid-canvas {\\n  position: relative;\\n  outline: 0;\\n}\\n.bk-root .slick-row.ui-widget-content,\\n.bk-root .slick-row.ui-state-active {\\n  position: absolute;\\n  border: 0px;\\n  width: 100%;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column,\\n.bk-root .slick-footerrow-column {\\n  position: absolute;\\n  border: 1px solid transparent;\\n  border-right: 1px dotted silver;\\n  border-bottom-color: silver;\\n  overflow: hidden;\\n  -o-text-overflow: ellipsis;\\n  text-overflow: ellipsis;\\n  vertical-align: middle;\\n  z-index: 1;\\n  padding: 1px 2px 2px 1px;\\n  margin: 0;\\n  white-space: nowrap;\\n  cursor: default;\\n}\\n.bk-root .slick-cell,\\n.bk-root .slick-headerrow-column {\\n  border-bottom-color: silver;\\n}\\n.bk-root .slick-footerrow-column {\\n  border-top-color: silver;\\n}\\n.bk-root .slick-group-toggle {\\n  display: inline-block;\\n}\\n.bk-root .slick-cell.highlighted {\\n  background: lightskyblue;\\n  background: rgba(0, 0, 255, 0.2);\\n  -webkit-transition: all 0.5s;\\n  -moz-transition: all 0.5s;\\n  -o-transition: all 0.5s;\\n  transition: all 0.5s;\\n}\\n.bk-root .slick-cell.flashing {\\n  border: 1px solid red !important;\\n}\\n.bk-root .slick-cell.editable {\\n  z-index: 11;\\n  overflow: visible;\\n  background: white;\\n  border-color: black;\\n  border-style: solid;\\n}\\n.bk-root .slick-cell:focus {\\n  outline: none;\\n}\\n.bk-root .slick-reorder-proxy {\\n  display: inline-block;\\n  background: blue;\\n  opacity: 0.15;\\n  cursor: move;\\n}\\n.bk-root .slick-reorder-guide {\\n  display: inline-block;\\n  height: 2px;\\n  background: blue;\\n  opacity: 0.7;\\n}\\n.bk-root .slick-selection {\\n  z-index: 10;\\n  position: absolute;\\n  border: 2px dashed black;\\n}\\n.bk-root .slick-pane {\\n  position: absolute;\\n  outline: 0;\\n  overflow: hidden;\\n  width: 100%;\\n}\\n.bk-root .slick-pane-header {\\n  display: block;\\n}\\n.bk-root .slick-header {\\n  overflow: hidden;\\n  position: relative;\\n}\\n.bk-root .slick-headerrow {\\n  overflow: hidden;\\n  position: relative;\\n}\\n.bk-root .slick-top-panel-scroller {\\n  overflow: hidden;\\n  position: relative;\\n}\\n.bk-root .slick-top-panel {\\n  width: 10000px;\\n}\\n.bk-root .slick-viewport {\\n  position: relative;\\n  outline: 0;\\n  width: 100%;\\n}\\n.bk-root .slick-header-columns {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-bottom: 1px solid silver;\\n}\\n.bk-root .slick-header-column {\\n  background: url(\\'images/header-columns-bg.gif\\') repeat-x center bottom;\\n  border-right: 1px solid silver;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background: white url(\\'images/header-columns-over-bg.gif\\') repeat-x center bottom;\\n}\\n.bk-root .slick-headerrow {\\n  background: #fafafa;\\n}\\n.bk-root .slick-headerrow-column {\\n  background: #fafafa;\\n  border-bottom: 0;\\n  height: 100%;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row {\\n  position: absolute;\\n  background: white;\\n  border: 0px;\\n  line-height: 20px;\\n}\\n.bk-root .slick-row.selected {\\n  z-index: 10;\\n  background: #DFE8F6;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .slick-group {\\n  border-bottom: 2px solid silver;\\n}\\n.bk-root .slick-group-toggle {\\n  width: 9px;\\n  height: 9px;\\n  margin-right: 5px;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background: url(images/collapse.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background: url(images/expand.gif) no-repeat center center;\\n}\\n.bk-root .slick-group-totals {\\n  color: gray;\\n  background: white;\\n}\\n.bk-root .slick-group-select-checkbox {\\n  width: 13px;\\n  height: 13px;\\n  margin: 3px 10px 0 0;\\n  display: inline-block;\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background: url(images/GrpCheckboxY.png) no-repeat center center;\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background: url(images/GrpCheckboxN.png) no-repeat center center;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: beige;\\n}\\n.bk-root .slick-cell.active {\\n  border-color: gray;\\n  border-style: solid;\\n}\\n.bk-root .slick-sortable-placeholder {\\n  background: silver !important;\\n}\\n.bk-root .slick-row.odd {\\n  background: #fafafa;\\n}\\n.bk-root .slick-row.ui-state-active {\\n  background: #F5F7D7;\\n}\\n.bk-root .slick-row.loading {\\n  opacity: 0.5;\\n}\\n.bk-root .slick-cell.invalid {\\n  border-color: red;\\n  -moz-animation-duration: 0.2s;\\n  -webkit-animation-duration: 0.2s;\\n  -moz-animation-name: slickgrid-invalid-hilite;\\n  -webkit-animation-name: slickgrid-invalid-hilite;\\n}\\n@-moz-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n@-webkit-keyframes slickgrid-invalid-hilite {\\n  from {\\n    box-shadow: 0 0 6px red;\\n  }\\n  to {\\n    box-shadow: none;\\n  }\\n}\\n.bk-root .slick-column-name,\\n.bk-root .slick-sort-indicator {\\n  /**\\n   * This makes all \"float:right\" elements after it that spill over to the next line\\n   * display way below the lower boundary of the column thus hiding them.\\n   */\\n  display: inline-block;\\n  float: left;\\n  margin-bottom: 100px;\\n}\\n.bk-root .slick-header-button {\\n  display: inline-block;\\n  float: right;\\n  vertical-align: top;\\n  margin: 1px;\\n  /**\\n  * This makes all \"float:right\" elements after it that spill over to the next line\\n  * display way below the lower boundary of the column thus hiding them.\\n  */\\n  margin-bottom: 100px;\\n  height: 15px;\\n  width: 15px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-button-hidden {\\n  width: 0;\\n  -webkit-transition: 0.2s width;\\n  -ms-transition: 0.2s width;\\n  transition: 0.2s width;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-button {\\n  width: 15px;\\n}\\n.bk-root .slick-header-menubutton {\\n  position: absolute;\\n  right: 0;\\n  top: 0;\\n  bottom: 0;\\n  width: 14px;\\n  background-repeat: no-repeat;\\n  background-position: left center;\\n  background-image: url(../images/down.gif);\\n  cursor: pointer;\\n  display: none;\\n  border-left: thin ridge silver;\\n}\\n.bk-root .slick-header-column:hover > .slick-header-menubutton,\\n.bk-root .slick-header-column-active .slick-header-menubutton {\\n  display: inline-block;\\n}\\n.bk-root .slick-header-menu {\\n  position: absolute;\\n  display: inline-block;\\n  margin: 0;\\n  padding: 2px;\\n  cursor: default;\\n}\\n.bk-root .slick-header-menuitem {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-menuicon {\\n  display: inline-block;\\n  width: 16px;\\n  height: 16px;\\n  vertical-align: middle;\\n  margin-right: 4px;\\n  background-repeat: no-repeat;\\n  background-position: center center;\\n}\\n.bk-root .slick-header-menucontent {\\n  display: inline-block;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-header-menuitem-disabled {\\n  color: silver;\\n}\\n.bk-root .slick-header-menuitem.slick-header-menuitem-divider {\\n  cursor: default;\\n  border: none;\\n  overflow: hidden;\\n  padding: 0;\\n  height: 1px;\\n  margin: 8px 2px;\\n  background-color: #cecece;\\n}\\n.bk-root .slick-header-menuitem-divider.slick-header-menuitem:hover {\\n  background-color: #cecece;\\n}\\n.bk-root .slick-columnpicker {\\n  border: 1px solid #718BB7;\\n  background: #f0f0f0;\\n  padding: 6px;\\n  -moz-box-shadow: 2px 2px 2px silver;\\n  -webkit-box-shadow: 2px 2px 2px silver;\\n  box-shadow: 2px 2px 2px silver;\\n  min-width: 150px;\\n  cursor: default;\\n  position: absolute;\\n  z-index: 20;\\n  overflow: auto;\\n  resize: both;\\n}\\n.bk-root .slick-columnpicker > .close {\\n  float: right;\\n}\\n.bk-root .slick-columnpicker .title {\\n  font-size: 16px;\\n  width: 60%;\\n  border-bottom: solid 1px #d6d6d6;\\n  margin-bottom: 10px;\\n}\\n.bk-root .slick-columnpicker li {\\n  list-style: none;\\n  margin: 0;\\n  padding: 0;\\n  background: none;\\n}\\n.bk-root .slick-columnpicker input {\\n  margin: 4px;\\n}\\n.bk-root .slick-columnpicker li a {\\n  display: block;\\n  padding: 4px;\\n  font-weight: bold;\\n}\\n.bk-root .slick-columnpicker li a:hover {\\n  background: white;\\n}\\n.bk-root .slick-columnpicker-list li.hidden {\\n  display: none;\\n}\\n.bk-root .slick-pager {\\n  width: 100%;\\n  height: 26px;\\n  border: 1px solid gray;\\n  border-top: 0;\\n  background: url(\\'../images/header-columns-bg.gif\\') repeat-x center bottom;\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-status {\\n  display: inline-block;\\n  padding: 6px;\\n}\\n.bk-root .slick-pager .ui-icon-container {\\n  display: inline-block;\\n  margin: 2px;\\n  border-color: gray;\\n}\\n.bk-root .slick-pager .slick-pager-nav {\\n  display: inline-block;\\n  float: left;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings {\\n  display: block;\\n  float: right;\\n  padding: 2px;\\n}\\n.bk-root .slick-pager .slick-pager-settings * {\\n  vertical-align: middle;\\n}\\n.bk-root .slick-pager .slick-pager-settings a {\\n  padding: 2px;\\n  text-decoration: underline;\\n  cursor: pointer;\\n}\\n.bk-root .slick-header-columns {\\n  border-bottom: 1px solid silver;\\n  background-image: none;\\n}\\n.bk-root .slick-header-column {\\n  border-right: 1px solid transparent;\\n  background-image: none;\\n}\\n.bk-root .slick-header-column:last-of-type {\\n  border-right-color: transparent;\\n}\\n.bk-root .slick-header-column:hover,\\n.bk-root .slick-header-column-active {\\n  background-color: #F0F8FF;\\n  background-image: none;\\n}\\n.bk-root .slick-group-toggle.expanded {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIMwADCBxIUIDBgwIEChgwwECBAgQUFjBAkaJCABgxGlB4AGHCAAIQiBypEEECkScJqgwQEAA7\");\\n}\\n.bk-root .slick-group-toggle.collapsed {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhCQAJAPcAAAFGeoCAgNXz/+v5/+v6/+z5/+36//L7//X8//j9/wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACwAAAAACQAJAAAIOAADCBxIUIDBgwIEChgwAECBAgQUFjAAQIABAwoBaNSIMYCAAwIqGlSIAEHFkiQTIBCgkqDLAAEBADs=\");\\n}\\n.bk-root .slick-group-select-checkbox.checked {\\n  background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .slick-group-select-checkbox.unchecked {\\n  background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA4AAAAOCAIAAACQKrqGAAAABGdBTUEAALGPC/xhBQAAAAlwSFlzAAAOwQAADsEBuJFr7QAAABl0RVh0U29mdHdhcmUAcGFpbnQubmV0IDQuMC4xNkRpr/UAAACXSURBVChT1dIxC4MwEAXg/v8/VOhQVDBNakV0KA6pxS4JhWRSIYPEJxwdDi1de7wleR+3JIf486w0hKCKRpSvvOhZcCmvNQBRuKqdah03U7UjNNH81rOaBYDo8SQaPX8JANFEaLaGBeAPaaY61rGksiN6TmR5H1j9CSoAosYYHLA7vTxYMvVEZa0liif23r93xjm3/oEYF8PiDn/I2FHCAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .slick-sort-indicator-desc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgeAAUAGEgQgIAACBEKLHgwYcKFBh1KFNhQosOKEgMCADs=\");\\n}\\n.bk-root .slick-sort-indicator-asc {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDQAFAIcAAGGQzUD/QOPu+wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACH5BAMAAAEALAAAAAANAAUAAAgbAAMIDABgoEGDABIeRJhQ4cKGEA8KmEiRosGAADs=\");\\n}\\n.bk-root .slick-header-menubutton {\\n  background-image: url(\"data:image/gif;base64,R0lGODlhDgAOAIABADtKYwAAACH5BAEAAAEALAAAAAAOAA4AAAISjI+py+0PHZgUsGobhTn6DxoFADs=\");\\n}\\n.bk-root .slick-pager {\\n  background-image: none;\\n}\\n'},\n      480: function _(n,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});e.default='\\n.bk-root .bk-data-table {\\n  box-sizing: content-box;\\n  font-size: 11px;\\n}\\n.bk-root .bk-data-table input[type=\"checkbox\"] {\\n  margin-left: 4px;\\n  margin-right: 4px;\\n}\\n.bk-root .bk-cell-special-defaults {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .bk-cell-select {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n}\\n.bk-root .slick-cell.bk-cell-index {\\n  border-right-color: silver;\\n  border-right-style: solid;\\n  background: #f5f5f5;\\n  text-align: right;\\n  background: #f0f0f0;\\n  color: #909090;\\n}\\n.bk-root .bk-header-index .slick-column-name {\\n  float: right;\\n}\\n.bk-root .slick-row.selected .bk-cell-index {\\n  background-color: transparent;\\n}\\n.bk-root .slick-row.odd {\\n  background: #f0f0f0;\\n}\\n.bk-root .slick-cell {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n  border-right-color: transparent;\\n  border: 0.25px solid transparent;\\n}\\n.bk-root .slick-cell .bk {\\n  line-height: inherit;\\n}\\n.bk-root .slick-cell.active {\\n  border-style: dashed;\\n}\\n.bk-root .slick-cell.selected {\\n  background-color: #F0F8FF;\\n}\\n.bk-root .slick-cell.editable {\\n  padding-left: 0;\\n  padding-right: 0;\\n}\\n.bk-root .bk-cell-editor {\\n  display: contents;\\n}\\n.bk-root .bk-cell-editor input,\\n.bk-root .bk-cell-editor select {\\n  width: 100%;\\n  height: 100%;\\n  border: 0;\\n  margin: 0;\\n  padding: 0;\\n  outline: 0;\\n  background: transparent;\\n  vertical-align: baseline;\\n}\\n.bk-root .bk-cell-editor input {\\n  padding-left: 4px;\\n  padding-right: 4px;\\n}\\n.bk-root .bk-cell-editor-completion {\\n  font-size: 11px;\\n}\\n'},\n      481: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=t(1),a=t(463),{Avg:i,Min:o,Max:g,Sum:n}=a.Data.Aggregators,u=r.__importStar(t(18)),c=t(81);class _ extends c.Model{constructor(t){super(t)}static init_RowAggregator(){this.define({field_:[u.String,\"\"]})}}s.RowAggregator=_,_.__name__=\"RowAggregator\",_.init_RowAggregator();const l=new i;class m extends _{constructor(){super(...arguments),this.key=\"avg\",this.init=l.init,this.accumulate=l.accumulate,this.storeResult=l.storeResult}}s.AvgAggregator=m,m.__name__=\"AvgAggregator\";const h=new o;class A extends _{constructor(){super(...arguments),this.key=\"min\",this.init=h.init,this.accumulate=h.accumulate,this.storeResult=h.storeResult}}s.MinAggregator=A,A.__name__=\"MinAggregator\";const R=new g;class d extends _{constructor(){super(...arguments),this.key=\"max\",this.init=R.init,this.accumulate=R.accumulate,this.storeResult=R.storeResult}}s.MaxAggregator=d,d.__name__=\"MaxAggregator\";const x=new n;class w extends _{constructor(){super(...arguments),this.key=\"sum\",this.init=x.init,this.accumulate=x.accumulate,this.storeResult=x.storeResult}}s.SumAggregator=w,w.__name__=\"SumAggregator\"},\n      482: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1).__importStar(t(18)),r=t(72),i=t(463),a=t(456),n=t(81);function l(t,e,s,o,i){const{collapsed:a,level:n,title:l}=i,u=r.span({class:\"slick-group-toggle \"+(a?\"collapsed\":\"expanded\"),style:{\"margin-left\":15*n+\"px\"}}),g=r.span({class:\"slick-group-title\",level:n},l);return`${u.outerHTML}${g.outerHTML}`}function u(t,e){const s=this.getDataItem(e.row);s instanceof i.Group&&t.target.classList.contains(\"slick-group-toggle\")&&(s.collapsed?this.getData().expandGroup(s.groupingKey):this.getData().collapseGroup(s.groupingKey),t.stopImmediatePropagation(),t.preventDefault(),this.invalidate(),this.render())}class g extends n.Model{constructor(t){super(t)}static init_GroupingInfo(){this.define({getter:[o.String,\"\"],aggregators:[o.Array,[]],collapsed:[o.Boolean,!1]})}get comparer(){return(t,e)=>t.value===e.value?0:t.value>e.value?1:-1}}s.GroupingInfo=g,g.__name__=\"GroupingInfo\",g.init_GroupingInfo();class c extends a.TableDataProvider{constructor(t,e,s,o){super(t,e),this.columns=s,this.groupingInfos=[],this.groupingDelimiter=\":|:\",this.target=o}setGrouping(t){this.groupingInfos=t,this.toggledGroupsByLevel=t.map(()=>({})),this.refresh()}extractGroups(t,e){const s=[],o=new Map,r=e?e.level+1:0,{comparer:a,getter:n}=this.groupingInfos[r];return t.forEach(t=>{const a=this.source.data[n][t];let l=o.get(a);if(!l){const t=e?`${e.groupingKey}${this.groupingDelimiter}${a}`:\"\"+a;l=Object.assign(new i.Group,{value:a,level:r,groupingKey:t}),s.push(l),o.set(a,l)}l.rows.push(t)}),r<this.groupingInfos.length-1&&s.forEach(t=>{t.groups=this.extractGroups(t.rows,t)}),s.sort(a),s}calculateTotals(t,e){const s={avg:{},max:{},min:{},sum:{}},{source:{data:o}}=this,r=Object.keys(o),i=t.rows.map(t=>r.reduce((e,s)=>Object.assign(Object.assign({},e),{[s]:o[s][t]}),{}));return e.forEach(t=>{t.init(),i.forEach(e=>t.accumulate(e)),t.storeResult(s)}),s}addTotals(t,e=0){const{aggregators:s,collapsed:o}=this.groupingInfos[e],r=this.toggledGroupsByLevel[e];t.forEach(t=>{t.groups&&this.addTotals(t.groups,e+1),s.length&&t.rows.length&&(t.totals=this.calculateTotals(t,s)),t.collapsed=o!==r[t.groupingKey],t.title=t.value?\"\"+t.value:\"\"})}flattenedGroupedRows(t,e=0){const s=[];return t.forEach(t=>{if(s.push(t),!t.collapsed){const o=t.groups?this.flattenedGroupedRows(t.groups,e+1):t.rows;s.push(...o)}}),s}refresh(){const t=this.extractGroups([...this.view.indices]),e=this.source.data[this.columns[0].field];t.length&&(this.addTotals(t),this.rows=this.flattenedGroupedRows(t),this.target.data={row_indices:this.rows.map(t=>t instanceof i.Group?t.rows:t),labels:this.rows.map(t=>t instanceof i.Group?t.title:e[t])})}getLength(){return this.rows.length}getItem(t){const e=this.rows[t],{source:{data:s}}=this;return e instanceof i.Group?e:Object.keys(s).reduce((t,o)=>Object.assign(Object.assign({},t),{[o]:s[o][e]}),{[a.DTINDEX_NAME]:e})}getItemMetadata(t){const e=this.rows[t],s=this.columns.slice(1),o=e instanceof i.Group?this.groupingInfos[e.level].aggregators:[];return e instanceof i.Group?{selectable:!1,focusable:!1,cssClasses:\"slick-group\",columns:[{formatter:l},...s.map((function(t){const{field:e,formatter:s}=t,r=o.find(({field_:t})=>t===e);if(r){const{key:t}=r;return{formatter:(o,r,i,a,n)=>s?s(o,r,n.totals[t][e],a,n):\"\"}}return{}}))]}:{}}collapseGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=!this.groupingInfos[e].collapsed,this.refresh()}expandGroup(t){const e=t.split(this.groupingDelimiter).length-1;this.toggledGroupsByLevel[e][t]=this.groupingInfos[e].collapsed,this.refresh()}}s.DataCubeProvider=c,c.__name__=\"DataCubeProvider\";class p extends a.DataTableView{render(){const t={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:!1,autosizeColsMode:this.autosize,multiColumnSort:!1,editable:this.model.editable,autoEdit:this.model.auto_edit,rowHeight:this.model.row_height},e=this.model.columns.map(t=>t.toColumn());var s,o;e[0].formatter=(s=e[0].formatter,o=this.model.grouping.length,(t,e,i,a,n)=>{const l=r.span({class:\"slick-group-toggle\",style:{\"margin-left\":15*(o||0)+\"px\"}}),u=s?s(t,e,i,a,n):\"\"+i;return`${l.outerHTML}${u&&u.replace(/^<div/,\"<span\").replace(/div>$/,\"span>\")}`}),delete e[0].editor,this.data=new c(this.model.source,this.model.view,e,this.model.target),this.data.setGrouping(this.model.grouping),this.el.style.width=this.model.width+\"px\",this.grid=new i.Grid(this.el,this.data,e,t),this.grid.onClick.subscribe(u)}}s.DataCubeView=p,p.__name__=\"DataCubeView\";class h extends a.DataTable{constructor(t){super(t)}static init_DataCube(){this.prototype.default_view=p,this.define({grouping:[o.Array,[]],target:[o.Instance]})}}s.DataCube=h,h.__name__=\"DataCube\",h.init_DataCube()},\n      }, 453, {\"models/widgets/tables/main\":453,\"models/widgets/tables/index\":454,\"models/widgets/tables/cell_editors\":455,\"models/widgets/tables/data_table\":456,\"models/widgets/widget\":472,\"models/widgets/tables/table_widget\":473,\"models/widgets/tables/table_column\":474,\"models/widgets/tables/cell_formatters\":475,\"styles/widgets/tables\":478,\"styles/widgets/slickgrid.css\":479,\"styles/widgets/tables.css\":480,\"models/widgets/tables/row_aggregators\":481,\"models/widgets/tables/data_cube\":482}, {});\n      })\n\n\n      /* END bokeh-tables.min.js */\n    },\n    \n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      /* BEGIN panel.min.js */\n      /*!\n       * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n       * All rights reserved.\n       * \n       * Redistribution and use in source and binary forms, with or without modification,\n       * are permitted provided that the following conditions are met:\n       * \n       * Redistributions of source code must retain the above copyright notice,\n       * this list of conditions and the following disclaimer.\n       * \n       * Redistributions in binary form must reproduce the above copyright notice,\n       * this list of conditions and the following disclaimer in the documentation\n       * and/or other materials provided with the distribution.\n       * \n       * Neither the name of Anaconda nor the names of any contributors\n       * may be used to endorse or promote products derived from this software\n       * without specific prior written permission.\n       * \n       * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n       * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n       * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n       * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n       * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n       * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n       * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n       * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n       * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n       * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n       * THE POSSIBILITY OF SUCH DAMAGE.\n      */\n      (function(root, factory) {\n        factory(root[\"Bokeh\"], undefined);\n      })(this, function(Bokeh, version) {\n        var define;\n        return (function(modules, entry, aliases, externals) {\n          const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n          if (bokeh != null) {\n            return bokeh.register_plugin(modules, entry, aliases);\n          } else {\n            throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n          }\n        })\n      ({\n      \"4e90918c0a\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"c4b9651916\"));o.Panel=s;e(\"@bokehjs/base\").register_models(s)},\n      \"c4b9651916\": function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const c=a(\"tslib\");var o=a(\"abb1112c2c\");r.AcePlot=o.AcePlot;var t=a(\"66d52165db\");r.Audio=t.Audio;var d=a(\"d9037fe5f1\");r.Card=d.Card;var l=a(\"684c940c17\");r.CommManager=l.CommManager;var v=a(\"d0d2aafca0\");r.DeckGLPlot=v.DeckGLPlot;var b=a(\"c6decbe3f5\");r.ECharts=b.ECharts;var f=a(\"ed08037ce5\");r.HTML=f.HTML;var i=a(\"cb7ac8d1fa\");r.IPyWidget=i.IPyWidget;var P=a(\"284504a0cf\");r.JSON=P.JSON;var n=a(\"2caf092f2b\");r.FileDownload=n.FileDownload;var S=a(\"7b859fb3cf\");r.KaTeX=S.KaTeX;var g=a(\"aded270681\");r.Location=g.Location;var s=a(\"0c21036737\");r.MathJax=s.MathJax;var y=a(\"79c41bbf71\");r.Player=y.Player;var M=a(\"47b5ae5c43\");r.PlotlyPlot=M.PlotlyPlot;var m=a(\"765e9cea08\");r.Progress=m.Progress;var C=a(\"ff9dd91f7b\");r.SingleSelect=C.SingleSelect;var L=a(\"38b2bc9574\");r.State=L.State;var V=a(\"294adeb985\");r.VegaPlot=V.VegaPlot;var u=a(\"b0c3e9e9c2\");r.Video=u.Video;var _=a(\"3c7145a2fa\");r.VideoStream=_.VideoStream,c.__exportStar(a(\"c51f25e2a7\"),r)},\n      \"abb1112c2c\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),n=e(\"@bokehjs/core/dom\"),a=e(\"7116a7a602\");class d extends a.PanelHTMLBoxView{initialize(){super.initialize(),this._ace=window.ace,this._container=n.div({id:\"_\"+Math.random().toString(36).substr(2,9),style:{width:\"100%\",height:\"100%\"}})}connect_signals(){super.connect_signals(),this.connect(this.model.properties.code.change,()=>this._update_code_from_model()),this.connect(this.model.properties.theme.change,()=>this._update_theme()),this.connect(this.model.properties.language.change,()=>this._update_language()),this.connect(this.model.properties.filename.change,()=>this._update_filename()),this.connect(this.model.properties.print_margin.change,()=>this._update_print_margin()),this.connect(this.model.properties.annotations.change,()=>this._add_annotations()),this.connect(this.model.properties.readonly.change,()=>{this._editor.setReadOnly(this.model.readonly)})}render(){super.render(),this._container!==this.el.childNodes[0]&&this.el.appendChild(this._container),this._container.textContent=this.model.code,this._editor=this._ace.edit(this._container.id),this._langTools=this._ace.require(\"ace/ext/language_tools\"),this._modelist=this._ace.require(\"ace/ext/modelist\"),this._editor.setOptions({enableBasicAutocompletion:!0,enableSnippets:!0,fontFamily:\"monospace\"}),this._update_theme(),this._update_filename(),this._update_language(),this._editor.setReadOnly(this.model.readonly),this._editor.setShowPrintMargin(this.model.print_margin),this._editor.on(\"change\",()=>this._update_code_from_editor())}_update_code_from_model(){this._editor&&this._editor.getValue()!=this.model.code&&this._editor.setValue(this.model.code)}_update_print_margin(){this._editor.setShowPrintMargin(this.model.print_margin)}_update_code_from_editor(){this._editor.getValue()!=this.model.code&&(this.model.code=this._editor.getValue())}_update_theme(){this._editor.setTheme(\"ace/theme/\"+this.model.theme)}_update_filename(){if(this.model.filename){const e=this._modelist.getModeForPath(this.model.filename).mode;this.model.language=e.slice(9)}}_update_language(){null!=this.model.language&&this._editor.session.setMode(\"ace/mode/\"+this.model.language)}_add_annotations(){this._editor.session.setAnnotations(this.model.annotations)}after_layout(){super.after_layout(),this._editor.resize()}}i.AcePlotView=d,d.__name__=\"AcePlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_AcePlot(){this.prototype.default_view=d,this.define({code:[o.String],filename:[o.String],language:[o.String],theme:[o.String,\"chrome\"],annotations:[o.Array,[]],readonly:[o.Boolean,!1],print_margin:[o.Boolean,!1]}),this.override({height:300,width:300})}}i.AcePlot=h,h.__name__=\"AcePlot\",h.__module__=\"panel.models.ace\",h.init_AcePlot()},\n      \"7116a7a602\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(\"@bokehjs/core/layout/html\"),h=e(\"@bokehjs/core/layout/types\"),o=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/models/widgets/markup\"),_=e(\"@bokehjs/models/layouts/html_box\");function a(e,i){let t=null!=i.width?\"fixed\":\"fit\",s=null!=i.height?\"fixed\":\"fit\";const{sizing_mode:h}=i;if(null!=h)if(\"fixed\"==h)t=s=\"fixed\";else if(\"stretch_both\"==h)t=s=\"max\";else if(\"stretch_width\"==h)t=\"max\";else if(\"stretch_height\"==h)s=\"max\";else switch(h){case\"scale_width\":t=\"max\",s=\"min\";break;case\"scale_height\":t=\"min\",s=\"max\";break;case\"scale_both\":t=\"max\",s=\"max\";break;default:throw new Error(\"unreachable\")}\"fixed\"==t&&i.width?e.style.width=i.width+\"px\":\"max\"==t&&(e.style.width=\"100%\"),\"fixed\"==s&&i.height?e.style.height=i.height+\"px\":\"max\"==s&&(e.style.height=\"100%\")}t.set_size=a;class d extends s.VariadicBox{constructor(e,i,t){super(e),this.el=e,this.sizing_mode=i,this.changed=t,this._cache=new Map,this._cache_count=new Map}_measure(e){const i=[e.width,e.height,this.sizing_mode].toString(),t=this.changed&&\"fixed\"!=this.sizing_mode&&null!=this.sizing_mode?1:0,s=this._cache.get(i),n=this._cache_count.get(i);if(null!=s&&null!=n&&n>=t)return this._cache_count.set(i,n+1),s;const _=new h.Sizeable(e).bounded_to(this.sizing.size),a=o.sized(this.el,_,()=>{const e=new h.Sizeable(o.content_size(this.el)),{border:i,padding:t}=o.extents(this.el);return e.grow_by(i).grow_by(t).map(Math.ceil)});return this._cache.set(i,a),this._cache_count.set(i,0),a}invalidate_cache(){}}t.CachedVariadicBox=d,d.__name__=\"CachedVariadicBox\";class l extends n.MarkupView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.markup_el,this.model)}}t.PanelMarkupView=l,l.__name__=\"PanelMarkupView\";class c extends _.HTMLBoxView{_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new d(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}render(){super.render(),a(this.el,this.model)}}t.PanelHTMLBoxView=c,c.__name__=\"PanelHTMLBoxView\"},\n      \"66d52165db\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.audioEl=document.createElement(\"audio\"),this.audioEl.controls=!0,this.audioEl.src=this.model.value,this.audioEl.currentTime=this.model.time,this.audioEl.loop=this.model.loop,null!=this.model.volume?this.audioEl.volume=this.model.volume/100:this.model.volume=100*this.audioEl.volume,this.audioEl.onpause=()=>this.model.paused=!0,this.audioEl.onplay=()=>this.model.paused=!1,this.audioEl.ontimeupdate=()=>this.update_time(this),this.audioEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.audioEl),this.model.paused||this.audioEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.audioEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.audioEl.volume)}set_loop(){this.audioEl.loop=this.model.loop}set_paused(){!this.audioEl.paused&&this.model.paused&&this.audioEl.pause(),this.audioEl.paused&&!this.model.paused&&this.audioEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.audioEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.audioEl.currentTime=this.model.time)}set_value(){this.audioEl.src=this.model.value}}i.AudioView=d,d.__name__=\"AudioView\";class u extends s.HTMLBox{constructor(e){super(e)}static init_Audio(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}i.Audio=u,u.__name__=\"Audio\",u.__module__=\"panel.models.widgets\",u.init_Audio()},\n      \"d9037fe5f1\": function _(e,s,l){Object.defineProperty(l,\"__esModule\",{value:!0});const t=e(\"tslib\"),o=e(\"@bokehjs/models/layouts/column\"),a=t.__importStar(e(\"@bokehjs/core/dom\")),i=e(\"@bokehjs/core/dom\"),n=e(\"@bokehjs/core/layout/grid\"),c=t.__importStar(e(\"@bokehjs/core/properties\"));class r extends n.Column{constructor(e,s=!1){super(e),this.collapsed=s}_measure_totals(e,s){const l=this.collapsed?e.slice(0,1):e,t=l.length-1;return this.collapsed||(l[t]=l[t]+5),super._measure_totals(l,s)}}l.CollapseableColumnLayout=r,r.__name__=\"CollapseableColumnLayout\";class d extends o.ColumnView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.collapsed.change,()=>this._collapse());const{active_header_background:e,header_background:s,header_color:l}=this.model.properties;this.on_change([e,s,l],()=>this.render())}_update_layout(){const e=this.child_views.map(e=>e.layout);this.layout=new r(e,this.model.collapsed),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0];const s=this.box_sizing();this.model.collapsed&&(s.height=void 0),this.layout.set_sizing(s)}render(){i.empty(this.el);const{background:e,button_css_classes:s,header_color:l,header_tag:t,header_css_classes:o}=this.model;this.el.style.backgroundColor=null!=e?e:\"\",i.classes(this.el).clear().add(...this.css_classes());let n=this.model.header_background;this.model.collapsed||null==this.model.active_header_background||(n=this.model.active_header_background);const c=this.child_views[0];let r;if(this.model.collapsible){this.button_el=a.createElement(\"button\",{type:\"button\",class:o}),this.button_el.style.backgroundColor=null!=n?n:\"\",this.button_el.appendChild(c.el);const e=a.createElement(\"p\",{class:s});e.innerHTML=this.model.collapsed?\"+\":\"−\",this.button_el.appendChild(e),this.button_el.onclick=()=>this._toggle_button(),r=this.button_el}else r=a.createElement(t,{class:o}),r.style.backgroundColor=null!=n?n:\"\",r.appendChild(c.el);r.style.color=null!=l?l:\"\",this.el.appendChild(r),c.render();for(const e of this.child_views.slice(1))this.model.collapsed||this.el.appendChild(e.el),e.render()}_toggle_button(){this.model.collapsed=!this.model.collapsed}_collapse(){this.invalidate_render()}_createElement(){return a.createElement(this.model.tag,{class:this.css_classes()})}}l.CardView=d,d.__name__=\"CardView\";class h extends o.Column{constructor(e){super(e)}static init_Card(){this.prototype.default_view=d,this.define({active_header_background:[c.String,null],button_css_classes:[c.Array,[]],collapsed:[c.Boolean,!0],collapsible:[c.Boolean,!0],header_background:[c.String,null],header_color:[c.String,null],header_css_classes:[c.Array,[]],header_tag:[c.String,\"div\"],tag:[c.String,\"div\"]})}}l.Card=h,h.__name__=\"Card\",h.__module__=\"panel.models.layout\",h.init_Card()},\n      \"684c940c17\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),i=e(\"@bokehjs/document\"),s=e(\"@bokehjs/core/view\"),c=e(\"@bokehjs/model\"),l=e(\"@bokehjs/protocol/message\"),_=e(\"@bokehjs/protocol/receiver\");class r extends s.View{renderTo(){}}n.CommManagerView=r,r.__name__=\"CommManagerView\";class a extends c.Model{constructor(e){super(e),this._document_listener=e=>this._document_changed(e),this._receiver=new _.Receiver,this._event_buffer=[],this._blocked=!1,this._timeout=Date.now(),null!=window.PyViz&&window.PyViz.comm_manager?(this.ns=window.PyViz,this.ns.comm_manager.register_target(this.plot_id,this.comm_id,e=>this.msg_handler(e)),this._client_comm=this.ns.comm_manager.get_client_comm(this.plot_id,this.client_comm_id,e=>this.on_ack(e))):console.log(\"Could not find comm manager on window.PyViz, ensure the extension is loaded.\")}_doc_attached(){super._doc_attached(),null!=this.document&&this.document.on_change(this._document_listener)}_document_changed(e){e.setter_id!==this.id&&(e instanceof i.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes())||(this._event_buffer.push(e),(!this._blocked||Date.now()>this._timeout)&&(setTimeout(()=>this.process_events(),this.debounce),this._blocked=!0,this._timeout=Date.now()+this.timeout)))}process_events(){if(null==this.document||null==this._client_comm)return;const e=this.document.create_json_patch(this._event_buffer);this._event_buffer=[];const t=l.Message.create(\"PATCH-DOC\",{},e);this._client_comm.send(t)}on_ack(e){const t=e.metadata;this._event_buffer.length?(this._blocked=!0,this._timeout=Date.now()+this.timeout,this.process_events()):this._blocked=!1,\"Ready\"==t.msg_type&&t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback)}msg_handler(e){const t=e.metadata,n=e.buffers,o=e.content.data,i=this.plot_id;if(\"Ready\"==t.msg_type)t.content?console.log(\"Python callback returned following output:\",t.content):\"Error\"==t.msg_type&&console.log(\"Python failed with the following traceback:\",t.traceback);else if(null!=i){let e=null;if(i in this.ns.plot_index&&null!=this.ns.plot_index[i]?e=this.ns.plot_index[i]:void 0!==window.Bokeh&&i in window.Bokeh.index&&(e=window.Bokeh.index[i]),null==e)return;null!=n&&n.length>0?this._receiver.consume(n[0].buffer):this._receiver.consume(o);const t=this._receiver.message;null!=t&&Object.keys(t.content).length>0&&null!=this.document&&this.document.apply_json_patch(t.content,t.buffers,this.id)}}static init_CommManager(){this.prototype.default_view=r,this.define({plot_id:[o.String,null],comm_id:[o.String,null],client_comm_id:[o.String,null],timeout:[o.Number,5e3],debounce:[o.Number,50]})}}n.CommManager=a,a.__name__=\"CommManager\",a.__module__=\"panel.models.comm_manager\",a.init_CommManager()},\n      \"d0d2aafca0\": function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),a=i.__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),c=e(\"7116a7a602\"),r=e(\"064eac2866\"),d=i.__importDefault(e(\"093eb75864\"));function l(){const e={},t=window.deck,o=Object.keys(t).filter(e=>e.charAt(0)===e.charAt(0).toUpperCase());for(const i of o)e[i]=t[i];return e}class _ extends c.PanelHTMLBoxView{connect_signals(){super.connect_signals();const{data:e,mapbox_api_key:t,tooltip:o,layers:i,initialViewState:n,data_sources:a}=this.model.properties;this.on_change([t,o],()=>this.render()),this.on_change([e,n],()=>this.updateDeck()),this.on_change([i],()=>this._update_layers()),this.on_change([a],()=>this._connect_sources(!0)),this._layer_map={},this._connected=[],this._connect_sources()}_update_layers(){this._layer_map={},this._update_data(!0)}_connect_sources(e=!1){for(const e of this.model.data_sources)this._connected.indexOf(e)<0&&(this.connect(e.properties.data.change,()=>this._update_data(!0)),this._connected.push(e));this._update_data(e)}initialize(){if(super.initialize(),window.deck.JSONConverter){const{CSVLoader:e,Tile3DLoader:t}=window.loaders;window.loaders.registerLoaders([t,e]);const o={classes:l(),enumerations:{COORDINATE_SYSTEM:window.deck.COORDINATE_SYSTEM,GL:d.default},constants:{Tile3DLoader:t}};this.jsonConverter=new window.deck.JSONConverter({configuration:o})}}_update_data(e=!0){let t=0;for(const e of this.model.layers){let o;if(t+=1,t-1 in this._layer_map)o=this.model.data_sources[this._layer_map[t-1]];else{if(\"number\"!=typeof e.data)continue;this._layer_map[t-1]=e.data,o=this.model.data_sources[e.data]}const i=[],n=o.columns();for(let e=0;e<o.get_length();e++){const t={};for(const i of n){let n=o.get_array(i);const a=null==n[0].shape?null:n[0].shape;null!=a&&a.length>1&&\"number\"==typeof a[0]?t[i]=n.slice(e*a[1],e*a[1]+a[1]):t[i]=n[e]}i.push(t)}e.data=i}e&&this.updateDeck()}_on_click_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.clickState=t}_on_hover_event(e){const t={coordinate:e.coordinate,lngLat:e.lngLat,index:e.index};this.model.hoverState=t}_on_viewState_event(e){this.model.viewState=e.viewState}getData(){return Object.assign(Object.assign({},this.model.data),{layers:this.model.layers,initialViewState:this.model.initialViewState,onViewStateChange:e=>this._on_viewState_event(e),onClick:e=>this._on_click_event(e),onHover:e=>this._on_hover_event(e)})}updateDeck(){if(!this.deckGL)return void this.render();const e=this.getData();if(window.deck.updateDeck)window.deck.updateDeck(e,this.deckGL);else{const t=this.jsonConverter.convert(e);this.deckGL.setProps(t)}}createDeck({mapboxApiKey:e,container:t,jsonInput:o,tooltip:i}){let n;try{const a=this.jsonConverter.convert(o),s=r.makeTooltip(i);n=new window.deck.DeckGL(Object.assign(Object.assign({},a),{map:window.mapboxgl,mapboxApiAccessToken:e,container:t,getTooltip:s}))}catch(e){console.error(e)}return n}render(){super.render();const e=n.div({class:\"deckgl\"});c.set_size(e,this.model);const t=this.model.mapbox_api_key,o=this.model.tooltip,i=this.getData();window.deck.createDeck?this.deckGL=window.deck.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}):this.deckGL=this.createDeck({mapboxApiKey:t,container:e,jsonInput:i,tooltip:o}),this.el.appendChild(e)}}o.DeckGLPlotView=_,_.__name__=\"DeckGLPlotView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_DeckGLPlot(){this.prototype.default_view=_,this.define({data:[a.Any],data_sources:[a.Array,[]],clickState:[a.Any],hoverState:[a.Any],initialViewState:[a.Any],layers:[a.Array,[]],mapbox_api_key:[a.String],tooltip:[a.Any],viewState:[a.Any]}),this.override({height:400,width:600})}}o.DeckGLPlot=h,h.__name__=\"DeckGLPlot\",h.__module__=\"panel.models.deckgl\",h.init_DeckGLPlot()},\n      \"064eac2866\": function _(e,t,n){\n      /*\n          This file was adapted from https://github.com/uber/deck.gl/ the LICENSE\n          below is preserved to comply with the original license.\n          \n          Copyright (c) 2015 - 2017 Uber Technologies, Inc.\n          \n          Permission is hereby granted, free of charge, to any person obtaining a copy\n          of this software and associated documentation files (the \"Software\"), to deal\n          in the Software without restriction, including without limitation the rights\n          to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n          copies of the Software, and to permit persons to whom the Software is\n          furnished to do so, subject to the following conditions:\n          \n          The above copyright notice and this permission notice shall be included in\n          all copies or substantial portions of the Software.\n          \n          THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n          IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n          FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n          AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n          LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n          OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN\n          THE SOFTWARE.\n          */\n      let i,l;Object.defineProperty(n,\"__esModule\",{value:!0});const o={fontFamily:'\"Helvetica Neue\", Helvetica, Arial, sans-serif',display:\"flex\",flex:\"wrap\",maxWidth:\"500px\",flexDirection:\"column\",zIndex:2};function r(){return document.createElement(\"div\")}function s(e){if(!e.picked)return null;if(e.object===i)return l;const t={html:a(e.object),style:o};return l=t,i=e.object,t}n.getTooltipDefault=s;const c=new Set([\"position\",\"index\"]);function a(e){const t=r();for(const n in e){if(c.has(n))continue;const i=r();i.className=\"header\",i.textContent=n;const l=r();l.className=\"value\",l.textContent=u(e[n]);const o=r();f(o,i,l),o.appendChild(i),o.appendChild(l),t.appendChild(o)}return t.innerHTML}function f(e,t,n){Object.assign(t.style,{fontWeight:700,marginRight:\"10px\",flex:\"1 1 0%\"}),Object.assign(n.style,{flex:\"none\",maxWidth:\"250px\",overflow:\"hidden\",whiteSpace:\"nowrap\",textOverflow:\"ellipsis\"}),Object.assign(e.style,{display:\"flex\",flexDirection:\"row\",justifyContent:\"space-between\",alignItems:\"stretch\"})}function u(e){let t;if(Array.isArray(e)&&e.length>4)t=`Array<${e.length}>`;else if(\"string\"==typeof e)t=e;else if(\"number\"==typeof e)t=String(e);else try{t=JSON.stringify(e)}catch(e){t=\"<Non-Serializable Object>\"}return t.length>50&&(t=t.slice(0,50)),t}function p(e,t){let n=e;for(const e in t)n=n.replace(`{${e}}`,t[e]);return n}n.tabularize=a,n.toText=u,n.substituteIn=p,n.makeTooltip=function(e){return e?e.html||e.text?t=>{if(!t.picked)return null;const n={style:e.style||o};return e.html?n.html=p(e.html,t.object):n.text=p(e.text,t.object),n}:s:null}},\n      \"093eb75864\": function _(E,_,R){_.exports={DEPTH_BUFFER_BIT:256,STENCIL_BUFFER_BIT:1024,COLOR_BUFFER_BIT:16384,POINTS:0,LINES:1,LINE_LOOP:2,LINE_STRIP:3,TRIANGLES:4,TRIANGLE_STRIP:5,TRIANGLE_FAN:6,ZERO:0,ONE:1,SRC_COLOR:768,ONE_MINUS_SRC_COLOR:769,SRC_ALPHA:770,ONE_MINUS_SRC_ALPHA:771,DST_ALPHA:772,ONE_MINUS_DST_ALPHA:773,DST_COLOR:774,ONE_MINUS_DST_COLOR:775,SRC_ALPHA_SATURATE:776,CONSTANT_COLOR:32769,ONE_MINUS_CONSTANT_COLOR:32770,CONSTANT_ALPHA:32771,ONE_MINUS_CONSTANT_ALPHA:32772,FUNC_ADD:32774,FUNC_SUBTRACT:32778,FUNC_REVERSE_SUBTRACT:32779,BLEND_EQUATION:32777,BLEND_EQUATION_RGB:32777,BLEND_EQUATION_ALPHA:34877,BLEND_DST_RGB:32968,BLEND_SRC_RGB:32969,BLEND_DST_ALPHA:32970,BLEND_SRC_ALPHA:32971,BLEND_COLOR:32773,ARRAY_BUFFER_BINDING:34964,ELEMENT_ARRAY_BUFFER_BINDING:34965,LINE_WIDTH:2849,ALIASED_POINT_SIZE_RANGE:33901,ALIASED_LINE_WIDTH_RANGE:33902,CULL_FACE_MODE:2885,FRONT_FACE:2886,DEPTH_RANGE:2928,DEPTH_WRITEMASK:2930,DEPTH_CLEAR_VALUE:2931,DEPTH_FUNC:2932,STENCIL_CLEAR_VALUE:2961,STENCIL_FUNC:2962,STENCIL_FAIL:2964,STENCIL_PASS_DEPTH_FAIL:2965,STENCIL_PASS_DEPTH_PASS:2966,STENCIL_REF:2967,STENCIL_VALUE_MASK:2963,STENCIL_WRITEMASK:2968,STENCIL_BACK_FUNC:34816,STENCIL_BACK_FAIL:34817,STENCIL_BACK_PASS_DEPTH_FAIL:34818,STENCIL_BACK_PASS_DEPTH_PASS:34819,STENCIL_BACK_REF:36003,STENCIL_BACK_VALUE_MASK:36004,STENCIL_BACK_WRITEMASK:36005,VIEWPORT:2978,SCISSOR_BOX:3088,COLOR_CLEAR_VALUE:3106,COLOR_WRITEMASK:3107,UNPACK_ALIGNMENT:3317,PACK_ALIGNMENT:3333,MAX_TEXTURE_SIZE:3379,MAX_VIEWPORT_DIMS:3386,SUBPIXEL_BITS:3408,RED_BITS:3410,GREEN_BITS:3411,BLUE_BITS:3412,ALPHA_BITS:3413,DEPTH_BITS:3414,STENCIL_BITS:3415,POLYGON_OFFSET_UNITS:10752,POLYGON_OFFSET_FACTOR:32824,TEXTURE_BINDING_2D:32873,SAMPLE_BUFFERS:32936,SAMPLES:32937,SAMPLE_COVERAGE_VALUE:32938,SAMPLE_COVERAGE_INVERT:32939,COMPRESSED_TEXTURE_FORMATS:34467,VENDOR:7936,RENDERER:7937,VERSION:7938,IMPLEMENTATION_COLOR_READ_TYPE:35738,IMPLEMENTATION_COLOR_READ_FORMAT:35739,BROWSER_DEFAULT_WEBGL:37444,STATIC_DRAW:35044,STREAM_DRAW:35040,DYNAMIC_DRAW:35048,ARRAY_BUFFER:34962,ELEMENT_ARRAY_BUFFER:34963,BUFFER_SIZE:34660,BUFFER_USAGE:34661,CURRENT_VERTEX_ATTRIB:34342,VERTEX_ATTRIB_ARRAY_ENABLED:34338,VERTEX_ATTRIB_ARRAY_SIZE:34339,VERTEX_ATTRIB_ARRAY_STRIDE:34340,VERTEX_ATTRIB_ARRAY_TYPE:34341,VERTEX_ATTRIB_ARRAY_NORMALIZED:34922,VERTEX_ATTRIB_ARRAY_POINTER:34373,VERTEX_ATTRIB_ARRAY_BUFFER_BINDING:34975,CULL_FACE:2884,FRONT:1028,BACK:1029,FRONT_AND_BACK:1032,BLEND:3042,DEPTH_TEST:2929,DITHER:3024,POLYGON_OFFSET_FILL:32823,SAMPLE_ALPHA_TO_COVERAGE:32926,SAMPLE_COVERAGE:32928,SCISSOR_TEST:3089,STENCIL_TEST:2960,NO_ERROR:0,INVALID_ENUM:1280,INVALID_VALUE:1281,INVALID_OPERATION:1282,OUT_OF_MEMORY:1285,CONTEXT_LOST_WEBGL:37442,CW:2304,CCW:2305,DONT_CARE:4352,FASTEST:4353,NICEST:4354,GENERATE_MIPMAP_HINT:33170,BYTE:5120,UNSIGNED_BYTE:5121,SHORT:5122,UNSIGNED_SHORT:5123,INT:5124,UNSIGNED_INT:5125,FLOAT:5126,DOUBLE:5130,DEPTH_COMPONENT:6402,ALPHA:6406,RGB:6407,RGBA:6408,LUMINANCE:6409,LUMINANCE_ALPHA:6410,UNSIGNED_SHORT_4_4_4_4:32819,UNSIGNED_SHORT_5_5_5_1:32820,UNSIGNED_SHORT_5_6_5:33635,FRAGMENT_SHADER:35632,VERTEX_SHADER:35633,COMPILE_STATUS:35713,DELETE_STATUS:35712,LINK_STATUS:35714,VALIDATE_STATUS:35715,ATTACHED_SHADERS:35717,ACTIVE_ATTRIBUTES:35721,ACTIVE_UNIFORMS:35718,MAX_VERTEX_ATTRIBS:34921,MAX_VERTEX_UNIFORM_VECTORS:36347,MAX_VARYING_VECTORS:36348,MAX_COMBINED_TEXTURE_IMAGE_UNITS:35661,MAX_VERTEX_TEXTURE_IMAGE_UNITS:35660,MAX_TEXTURE_IMAGE_UNITS:34930,MAX_FRAGMENT_UNIFORM_VECTORS:36349,SHADER_TYPE:35663,SHADING_LANGUAGE_VERSION:35724,CURRENT_PROGRAM:35725,NEVER:512,ALWAYS:519,LESS:513,EQUAL:514,LEQUAL:515,GREATER:516,GEQUAL:518,NOTEQUAL:517,KEEP:7680,REPLACE:7681,INCR:7682,DECR:7683,INVERT:5386,INCR_WRAP:34055,DECR_WRAP:34056,NEAREST:9728,LINEAR:9729,NEAREST_MIPMAP_NEAREST:9984,LINEAR_MIPMAP_NEAREST:9985,NEAREST_MIPMAP_LINEAR:9986,LINEAR_MIPMAP_LINEAR:9987,TEXTURE_MAG_FILTER:10240,TEXTURE_MIN_FILTER:10241,TEXTURE_WRAP_S:10242,TEXTURE_WRAP_T:10243,TEXTURE_2D:3553,TEXTURE:5890,TEXTURE_CUBE_MAP:34067,TEXTURE_BINDING_CUBE_MAP:34068,TEXTURE_CUBE_MAP_POSITIVE_X:34069,TEXTURE_CUBE_MAP_NEGATIVE_X:34070,TEXTURE_CUBE_MAP_POSITIVE_Y:34071,TEXTURE_CUBE_MAP_NEGATIVE_Y:34072,TEXTURE_CUBE_MAP_POSITIVE_Z:34073,TEXTURE_CUBE_MAP_NEGATIVE_Z:34074,MAX_CUBE_MAP_TEXTURE_SIZE:34076,TEXTURE0:33984,ACTIVE_TEXTURE:34016,REPEAT:10497,CLAMP_TO_EDGE:33071,MIRRORED_REPEAT:33648,TEXTURE_WIDTH:4096,TEXTURE_HEIGHT:4097,FLOAT_VEC2:35664,FLOAT_VEC3:35665,FLOAT_VEC4:35666,INT_VEC2:35667,INT_VEC3:35668,INT_VEC4:35669,BOOL:35670,BOOL_VEC2:35671,BOOL_VEC3:35672,BOOL_VEC4:35673,FLOAT_MAT2:35674,FLOAT_MAT3:35675,FLOAT_MAT4:35676,SAMPLER_2D:35678,SAMPLER_CUBE:35680,LOW_FLOAT:36336,MEDIUM_FLOAT:36337,HIGH_FLOAT:36338,LOW_INT:36339,MEDIUM_INT:36340,HIGH_INT:36341,FRAMEBUFFER:36160,RENDERBUFFER:36161,RGBA4:32854,RGB5_A1:32855,RGB565:36194,DEPTH_COMPONENT16:33189,STENCIL_INDEX:6401,STENCIL_INDEX8:36168,DEPTH_STENCIL:34041,RENDERBUFFER_WIDTH:36162,RENDERBUFFER_HEIGHT:36163,RENDERBUFFER_INTERNAL_FORMAT:36164,RENDERBUFFER_RED_SIZE:36176,RENDERBUFFER_GREEN_SIZE:36177,RENDERBUFFER_BLUE_SIZE:36178,RENDERBUFFER_ALPHA_SIZE:36179,RENDERBUFFER_DEPTH_SIZE:36180,RENDERBUFFER_STENCIL_SIZE:36181,FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE:36048,FRAMEBUFFER_ATTACHMENT_OBJECT_NAME:36049,FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL:36050,FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE:36051,COLOR_ATTACHMENT0:36064,DEPTH_ATTACHMENT:36096,STENCIL_ATTACHMENT:36128,DEPTH_STENCIL_ATTACHMENT:33306,NONE:0,FRAMEBUFFER_COMPLETE:36053,FRAMEBUFFER_INCOMPLETE_ATTACHMENT:36054,FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:36055,FRAMEBUFFER_INCOMPLETE_DIMENSIONS:36057,FRAMEBUFFER_UNSUPPORTED:36061,FRAMEBUFFER_BINDING:36006,RENDERBUFFER_BINDING:36007,READ_FRAMEBUFFER:36008,DRAW_FRAMEBUFFER:36009,MAX_RENDERBUFFER_SIZE:34024,INVALID_FRAMEBUFFER_OPERATION:1286,UNPACK_FLIP_Y_WEBGL:37440,UNPACK_PREMULTIPLY_ALPHA_WEBGL:37441,UNPACK_COLORSPACE_CONVERSION_WEBGL:37443,READ_BUFFER:3074,UNPACK_ROW_LENGTH:3314,UNPACK_SKIP_ROWS:3315,UNPACK_SKIP_PIXELS:3316,PACK_ROW_LENGTH:3330,PACK_SKIP_ROWS:3331,PACK_SKIP_PIXELS:3332,TEXTURE_BINDING_3D:32874,UNPACK_SKIP_IMAGES:32877,UNPACK_IMAGE_HEIGHT:32878,MAX_3D_TEXTURE_SIZE:32883,MAX_ELEMENTS_VERTICES:33e3,MAX_ELEMENTS_INDICES:33001,MAX_TEXTURE_LOD_BIAS:34045,MAX_FRAGMENT_UNIFORM_COMPONENTS:35657,MAX_VERTEX_UNIFORM_COMPONENTS:35658,MAX_ARRAY_TEXTURE_LAYERS:35071,MIN_PROGRAM_TEXEL_OFFSET:35076,MAX_PROGRAM_TEXEL_OFFSET:35077,MAX_VARYING_COMPONENTS:35659,FRAGMENT_SHADER_DERIVATIVE_HINT:35723,RASTERIZER_DISCARD:35977,VERTEX_ARRAY_BINDING:34229,MAX_VERTEX_OUTPUT_COMPONENTS:37154,MAX_FRAGMENT_INPUT_COMPONENTS:37157,MAX_SERVER_WAIT_TIMEOUT:37137,MAX_ELEMENT_INDEX:36203,RED:6403,RGB8:32849,RGBA8:32856,RGB10_A2:32857,TEXTURE_3D:32879,TEXTURE_WRAP_R:32882,TEXTURE_MIN_LOD:33082,TEXTURE_MAX_LOD:33083,TEXTURE_BASE_LEVEL:33084,TEXTURE_MAX_LEVEL:33085,TEXTURE_COMPARE_MODE:34892,TEXTURE_COMPARE_FUNC:34893,SRGB:35904,SRGB8:35905,SRGB8_ALPHA8:35907,COMPARE_REF_TO_TEXTURE:34894,RGBA32F:34836,RGB32F:34837,RGBA16F:34842,RGB16F:34843,TEXTURE_2D_ARRAY:35866,TEXTURE_BINDING_2D_ARRAY:35869,R11F_G11F_B10F:35898,RGB9_E5:35901,RGBA32UI:36208,RGB32UI:36209,RGBA16UI:36214,RGB16UI:36215,RGBA8UI:36220,RGB8UI:36221,RGBA32I:36226,RGB32I:36227,RGBA16I:36232,RGB16I:36233,RGBA8I:36238,RGB8I:36239,RED_INTEGER:36244,RGB_INTEGER:36248,RGBA_INTEGER:36249,R8:33321,RG8:33323,R16F:33325,R32F:33326,RG16F:33327,RG32F:33328,R8I:33329,R8UI:33330,R16I:33331,R16UI:33332,R32I:33333,R32UI:33334,RG8I:33335,RG8UI:33336,RG16I:33337,RG16UI:33338,RG32I:33339,RG32UI:33340,R8_SNORM:36756,RG8_SNORM:36757,RGB8_SNORM:36758,RGBA8_SNORM:36759,RGB10_A2UI:36975,TEXTURE_IMMUTABLE_FORMAT:37167,TEXTURE_IMMUTABLE_LEVELS:33503,UNSIGNED_INT_2_10_10_10_REV:33640,UNSIGNED_INT_10F_11F_11F_REV:35899,UNSIGNED_INT_5_9_9_9_REV:35902,FLOAT_32_UNSIGNED_INT_24_8_REV:36269,UNSIGNED_INT_24_8:34042,HALF_FLOAT:5131,RG:33319,RG_INTEGER:33320,INT_2_10_10_10_REV:36255,CURRENT_QUERY:34917,QUERY_RESULT:34918,QUERY_RESULT_AVAILABLE:34919,ANY_SAMPLES_PASSED:35887,ANY_SAMPLES_PASSED_CONSERVATIVE:36202,MAX_DRAW_BUFFERS:34852,DRAW_BUFFER0:34853,DRAW_BUFFER1:34854,DRAW_BUFFER2:34855,DRAW_BUFFER3:34856,DRAW_BUFFER4:34857,DRAW_BUFFER5:34858,DRAW_BUFFER6:34859,DRAW_BUFFER7:34860,DRAW_BUFFER8:34861,DRAW_BUFFER9:34862,DRAW_BUFFER10:34863,DRAW_BUFFER11:34864,DRAW_BUFFER12:34865,DRAW_BUFFER13:34866,DRAW_BUFFER14:34867,DRAW_BUFFER15:34868,MAX_COLOR_ATTACHMENTS:36063,COLOR_ATTACHMENT1:36065,COLOR_ATTACHMENT2:36066,COLOR_ATTACHMENT3:36067,COLOR_ATTACHMENT4:36068,COLOR_ATTACHMENT5:36069,COLOR_ATTACHMENT6:36070,COLOR_ATTACHMENT7:36071,COLOR_ATTACHMENT8:36072,COLOR_ATTACHMENT9:36073,COLOR_ATTACHMENT10:36074,COLOR_ATTACHMENT11:36075,COLOR_ATTACHMENT12:36076,COLOR_ATTACHMENT13:36077,COLOR_ATTACHMENT14:36078,COLOR_ATTACHMENT15:36079,SAMPLER_3D:35679,SAMPLER_2D_SHADOW:35682,SAMPLER_2D_ARRAY:36289,SAMPLER_2D_ARRAY_SHADOW:36292,SAMPLER_CUBE_SHADOW:36293,INT_SAMPLER_2D:36298,INT_SAMPLER_3D:36299,INT_SAMPLER_CUBE:36300,INT_SAMPLER_2D_ARRAY:36303,UNSIGNED_INT_SAMPLER_2D:36306,UNSIGNED_INT_SAMPLER_3D:36307,UNSIGNED_INT_SAMPLER_CUBE:36308,UNSIGNED_INT_SAMPLER_2D_ARRAY:36311,MAX_SAMPLES:36183,SAMPLER_BINDING:35097,PIXEL_PACK_BUFFER:35051,PIXEL_UNPACK_BUFFER:35052,PIXEL_PACK_BUFFER_BINDING:35053,PIXEL_UNPACK_BUFFER_BINDING:35055,COPY_READ_BUFFER:36662,COPY_WRITE_BUFFER:36663,COPY_READ_BUFFER_BINDING:36662,COPY_WRITE_BUFFER_BINDING:36663,FLOAT_MAT2x3:35685,FLOAT_MAT2x4:35686,FLOAT_MAT3x2:35687,FLOAT_MAT3x4:35688,FLOAT_MAT4x2:35689,FLOAT_MAT4x3:35690,UNSIGNED_INT_VEC2:36294,UNSIGNED_INT_VEC3:36295,UNSIGNED_INT_VEC4:36296,UNSIGNED_NORMALIZED:35863,SIGNED_NORMALIZED:36764,VERTEX_ATTRIB_ARRAY_INTEGER:35069,VERTEX_ATTRIB_ARRAY_DIVISOR:35070,TRANSFORM_FEEDBACK_BUFFER_MODE:35967,MAX_TRANSFORM_FEEDBACK_SEPARATE_COMPONENTS:35968,TRANSFORM_FEEDBACK_VARYINGS:35971,TRANSFORM_FEEDBACK_BUFFER_START:35972,TRANSFORM_FEEDBACK_BUFFER_SIZE:35973,TRANSFORM_FEEDBACK_PRIMITIVES_WRITTEN:35976,MAX_TRANSFORM_FEEDBACK_INTERLEAVED_COMPONENTS:35978,MAX_TRANSFORM_FEEDBACK_SEPARATE_ATTRIBS:35979,INTERLEAVED_ATTRIBS:35980,SEPARATE_ATTRIBS:35981,TRANSFORM_FEEDBACK_BUFFER:35982,TRANSFORM_FEEDBACK_BUFFER_BINDING:35983,TRANSFORM_FEEDBACK:36386,TRANSFORM_FEEDBACK_PAUSED:36387,TRANSFORM_FEEDBACK_ACTIVE:36388,TRANSFORM_FEEDBACK_BINDING:36389,FRAMEBUFFER_ATTACHMENT_COLOR_ENCODING:33296,FRAMEBUFFER_ATTACHMENT_COMPONENT_TYPE:33297,FRAMEBUFFER_ATTACHMENT_RED_SIZE:33298,FRAMEBUFFER_ATTACHMENT_GREEN_SIZE:33299,FRAMEBUFFER_ATTACHMENT_BLUE_SIZE:33300,FRAMEBUFFER_ATTACHMENT_ALPHA_SIZE:33301,FRAMEBUFFER_ATTACHMENT_DEPTH_SIZE:33302,FRAMEBUFFER_ATTACHMENT_STENCIL_SIZE:33303,FRAMEBUFFER_DEFAULT:33304,DEPTH24_STENCIL8:35056,DRAW_FRAMEBUFFER_BINDING:36006,READ_FRAMEBUFFER_BINDING:36010,RENDERBUFFER_SAMPLES:36011,FRAMEBUFFER_ATTACHMENT_TEXTURE_LAYER:36052,FRAMEBUFFER_INCOMPLETE_MULTISAMPLE:36182,UNIFORM_BUFFER:35345,UNIFORM_BUFFER_BINDING:35368,UNIFORM_BUFFER_START:35369,UNIFORM_BUFFER_SIZE:35370,MAX_VERTEX_UNIFORM_BLOCKS:35371,MAX_FRAGMENT_UNIFORM_BLOCKS:35373,MAX_COMBINED_UNIFORM_BLOCKS:35374,MAX_UNIFORM_BUFFER_BINDINGS:35375,MAX_UNIFORM_BLOCK_SIZE:35376,MAX_COMBINED_VERTEX_UNIFORM_COMPONENTS:35377,MAX_COMBINED_FRAGMENT_UNIFORM_COMPONENTS:35379,UNIFORM_BUFFER_OFFSET_ALIGNMENT:35380,ACTIVE_UNIFORM_BLOCKS:35382,UNIFORM_TYPE:35383,UNIFORM_SIZE:35384,UNIFORM_BLOCK_INDEX:35386,UNIFORM_OFFSET:35387,UNIFORM_ARRAY_STRIDE:35388,UNIFORM_MATRIX_STRIDE:35389,UNIFORM_IS_ROW_MAJOR:35390,UNIFORM_BLOCK_BINDING:35391,UNIFORM_BLOCK_DATA_SIZE:35392,UNIFORM_BLOCK_ACTIVE_UNIFORMS:35394,UNIFORM_BLOCK_ACTIVE_UNIFORM_INDICES:35395,UNIFORM_BLOCK_REFERENCED_BY_VERTEX_SHADER:35396,UNIFORM_BLOCK_REFERENCED_BY_FRAGMENT_SHADER:35398,OBJECT_TYPE:37138,SYNC_CONDITION:37139,SYNC_STATUS:37140,SYNC_FLAGS:37141,SYNC_FENCE:37142,SYNC_GPU_COMMANDS_COMPLETE:37143,UNSIGNALED:37144,SIGNALED:37145,ALREADY_SIGNALED:37146,TIMEOUT_EXPIRED:37147,CONDITION_SATISFIED:37148,WAIT_FAILED:37149,SYNC_FLUSH_COMMANDS_BIT:1,COLOR:6144,DEPTH:6145,STENCIL:6146,MIN:32775,MAX:32776,DEPTH_COMPONENT24:33190,STREAM_READ:35041,STREAM_COPY:35042,STATIC_READ:35045,STATIC_COPY:35046,DYNAMIC_READ:35049,DYNAMIC_COPY:35050,DEPTH_COMPONENT32F:36012,DEPTH32F_STENCIL8:36013,INVALID_INDEX:4294967295,TIMEOUT_IGNORED:-1,MAX_CLIENT_WAIT_TIMEOUT_WEBGL:37447,VERTEX_ATTRIB_ARRAY_DIVISOR_ANGLE:35070,UNMASKED_VENDOR_WEBGL:37445,UNMASKED_RENDERER_WEBGL:37446,MAX_TEXTURE_MAX_ANISOTROPY_EXT:34047,TEXTURE_MAX_ANISOTROPY_EXT:34046,COMPRESSED_RGB_S3TC_DXT1_EXT:33776,COMPRESSED_RGBA_S3TC_DXT1_EXT:33777,COMPRESSED_RGBA_S3TC_DXT3_EXT:33778,COMPRESSED_RGBA_S3TC_DXT5_EXT:33779,COMPRESSED_R11_EAC:37488,COMPRESSED_SIGNED_R11_EAC:37489,COMPRESSED_RG11_EAC:37490,COMPRESSED_SIGNED_RG11_EAC:37491,COMPRESSED_RGB8_ETC2:37492,COMPRESSED_RGBA8_ETC2_EAC:37493,COMPRESSED_SRGB8_ETC2:37494,COMPRESSED_SRGB8_ALPHA8_ETC2_EAC:37495,COMPRESSED_RGB8_PUNCHTHROUGH_ALPHA1_ETC2:37496,COMPRESSED_SRGB8_PUNCHTHROUGH_ALPHA1_ETC2:37497,COMPRESSED_RGB_PVRTC_4BPPV1_IMG:35840,COMPRESSED_RGBA_PVRTC_4BPPV1_IMG:35842,COMPRESSED_RGB_PVRTC_2BPPV1_IMG:35841,COMPRESSED_RGBA_PVRTC_2BPPV1_IMG:35843,COMPRESSED_RGB_ETC1_WEBGL:36196,COMPRESSED_RGB_ATC_WEBGL:35986,COMPRESSED_RGBA_ATC_EXPLICIT_ALPHA_WEBGL:35986,COMPRESSED_RGBA_ATC_INTERPOLATED_ALPHA_WEBGL:34798,UNSIGNED_INT_24_8_WEBGL:34042,HALF_FLOAT_OES:36193,RGBA32F_EXT:34836,RGB32F_EXT:34837,FRAMEBUFFER_ATTACHMENT_COMPONENT_TYPE_EXT:33297,UNSIGNED_NORMALIZED_EXT:35863,MIN_EXT:32775,MAX_EXT:32776,SRGB_EXT:35904,SRGB_ALPHA_EXT:35906,SRGB8_ALPHA8_EXT:35907,FRAMEBUFFER_ATTACHMENT_COLOR_ENCODING_EXT:33296,FRAGMENT_SHADER_DERIVATIVE_HINT_OES:35723,COLOR_ATTACHMENT0_WEBGL:36064,COLOR_ATTACHMENT1_WEBGL:36065,COLOR_ATTACHMENT2_WEBGL:36066,COLOR_ATTACHMENT3_WEBGL:36067,COLOR_ATTACHMENT4_WEBGL:36068,COLOR_ATTACHMENT5_WEBGL:36069,COLOR_ATTACHMENT6_WEBGL:36070,COLOR_ATTACHMENT7_WEBGL:36071,COLOR_ATTACHMENT8_WEBGL:36072,COLOR_ATTACHMENT9_WEBGL:36073,COLOR_ATTACHMENT10_WEBGL:36074,COLOR_ATTACHMENT11_WEBGL:36075,COLOR_ATTACHMENT12_WEBGL:36076,COLOR_ATTACHMENT13_WEBGL:36077,COLOR_ATTACHMENT14_WEBGL:36078,COLOR_ATTACHMENT15_WEBGL:36079,DRAW_BUFFER0_WEBGL:34853,DRAW_BUFFER1_WEBGL:34854,DRAW_BUFFER2_WEBGL:34855,DRAW_BUFFER3_WEBGL:34856,DRAW_BUFFER4_WEBGL:34857,DRAW_BUFFER5_WEBGL:34858,DRAW_BUFFER6_WEBGL:34859,DRAW_BUFFER7_WEBGL:34860,DRAW_BUFFER8_WEBGL:34861,DRAW_BUFFER9_WEBGL:34862,DRAW_BUFFER10_WEBGL:34863,DRAW_BUFFER11_WEBGL:34864,DRAW_BUFFER12_WEBGL:34865,DRAW_BUFFER13_WEBGL:34866,DRAW_BUFFER14_WEBGL:34867,DRAW_BUFFER15_WEBGL:34868,MAX_COLOR_ATTACHMENTS_WEBGL:36063,MAX_DRAW_BUFFERS_WEBGL:34852,VERTEX_ARRAY_BINDING_OES:34229,QUERY_COUNTER_BITS_EXT:34916,CURRENT_QUERY_EXT:34917,QUERY_RESULT_EXT:34918,QUERY_RESULT_AVAILABLE_EXT:34919,TIME_ELAPSED_EXT:35007,TIMESTAMP_EXT:36392,GPU_DISJOINT_EXT:36795}},\n      \"c6decbe3f5\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),h=e(\"@bokehjs/models/layouts/html_box\");class r extends h.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>this._plot());const{width:e,height:t,renderer:s,theme:i}=this.model.properties;this.on_change([e,t],()=>this._resize()),this.on_change([i,s],()=>this.render())}render(){super.render();const e={width:this.model.width,height:this.model.height,renderer:this.model.renderer};null!=this._chart&&window.echarts.dispose(this._chart),this._chart=window.echarts.init(this.el,this.model.theme,e),this._plot()}after_layout(){super.after_layout(),this._chart.resize()}_plot(){null!=window.echarts&&this._chart.setOption(this.model.data)}_resize(){this._chart.resize({width:this.model.width,height:this.model.height})}}s.EChartsView=r,r.__name__=\"EChartsView\";class o extends h.HTMLBox{constructor(e){super(e)}static init_ECharts(){this.prototype.default_view=r,this.define({data:[i.Any],theme:[i.String,\"default\"],renderer:[i.String,\"canvas\"]})}}s.ECharts=o,o.__name__=\"ECharts\",o.__module__=\"panel.models.echarts\",o.init_ECharts()},\n      \"ed08037ce5\": function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(\"@bokehjs/models/widgets/markup\"),a=e(\"7116a7a602\");function o(e){return(new DOMParser).parseFromString(e,\"text/html\").documentElement.textContent}r.htmlDecode=o;class s extends a.PanelMarkupView{render(){super.render();const e=o(this.model.text)||this.model.text;e?(this.markup_el.innerHTML=e,Array.from(this.markup_el.querySelectorAll(\"script\")).forEach(e=>{const t=document.createElement(\"script\");Array.from(e.attributes).forEach(e=>t.setAttribute(e.name,e.value)),t.appendChild(document.createTextNode(e.innerHTML)),e.parentNode&&e.parentNode.replaceChild(t,e)})):this.markup_el.innerHTML=\"\"}}r.HTMLView=s,s.__name__=\"HTMLView\";class i extends n.Markup{constructor(e){super(e)}static init_HTML(){this.prototype.default_view=s}}r.HTML=i,i.__name__=\"HTML\",i.__module__=\"panel.models.markup\",i.init_HTML()},\n      \"cb7ac8d1fa\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),d=e(\"7116a7a602\"),l=window.Jupyter;class o extends d.PanelHTMLBoxView{constructor(){super(...arguments),this.rendered=!1}render(){super.render(),this._render().then(()=>{this.rendered=!0,this.invalidate_layout(),this.notify_finished()})}has_finished(){return this.rendered&&super.has_finished()}async 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this.config.useToJSON&&\"stringifiable\"===this.type},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"hasKey\",{get:function(){return void 0!==this.key},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"constructorName\",{get:function(){return i(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"type\",{get:function(){return this.config.useToJSON&&this.json&&this.json.toJSON?\"stringifiable\":n(this.json)},enumerable:!0,configurable:!0}),Object.defineProperty(t.prototype,\"keys\",{get:function(){if(this.isObject){var t=Object.keys(this.json);return!this.isArray&&this.config.sortPropertiesBy?t.sort(this.config.sortPropertiesBy):t}return[]},enumerable:!0,configurable:!0}),t.prototype.toggleOpen=function(){this.isOpen=!this.isOpen,this.element&&(this.isOpen?this.appendChildren(this.config.animateOpen):this.removeChildren(this.config.animateClose),this.element.classList.toggle(f(\"open\")))},t.prototype.openAtDepth=function(t){void 0===t&&(t=1),t<0||(this.open=t,this.isOpen=0!==t,this.element&&(this.removeChildren(!1),0===t?this.element.classList.remove(f(\"open\")):(this.appendChildren(this.config.animateOpen),this.element.classList.add(f(\"open\")))))},t.prototype.getInlinepreview=function(){var t=this;if(this.isArray)return this.json.length>this.config.hoverPreviewArrayCount?\"Array[\"+this.json.length+\"]\":\"[\"+this.json.map(a).join(\", \")+\"]\";var e=this.keys,r=e.slice(0,this.config.hoverPreviewFieldCount).map((function(e){return 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i=s(this.type,this.json,this.useToJSON?this.json.toJSON():this.json);e.appendChild(document.createTextNode(i)),t.appendChild(e)}if(this.isObject&&this.config.hoverPreviewEnabled){var a=m(\"span\",\"preview-text\");a.appendChild(document.createTextNode(this.getInlinepreview())),t.appendChild(a)}var l=m(\"div\",\"children\");return this.isObject&&l.classList.add(f(\"object\")),this.isArray&&l.classList.add(f(\"array\")),this.isEmpty&&l.classList.add(f(\"empty\")),this.config&&this.config.theme&&this.element.classList.add(f(this.config.theme)),this.isOpen&&this.element.classList.add(f(\"open\")),this.element.appendChild(t),this.element.appendChild(l),this.isObject&&this.isOpen&&this.appendChildren(),this.isObject&&!this.useToJSON&&t.addEventListener(\"click\",this.toggleOpen.bind(this)),this.element},t.prototype.appendChildren=function(e){var r=this;void 0===e&&(e=!1);var n=this.element.querySelector(\"div.\"+f(\"children\"));if(n&&!this.isEmpty)if(e){var o=0,i=function(){var e=r.keys[o],s=new t(r.json[e],r.open-1,r.config,e);n.appendChild(s.render()),(o+=1)<r.keys.length&&(o>10?i():p(i))};p(i)}else this.keys.forEach((function(e){var o=new t(r.json[e],r.open-1,r.config,e);n.appendChild(o.render())}))},t.prototype.removeChildren=function(t){void 0===t&&(t=!1);var e=this.element.querySelector(\"div.\"+f(\"children\"));if(t){var r=0,n=function(){e&&e.children.length&&(e.removeChild(e.children[0]),(r+=1)>10?n():p(n))};p(n)}else e&&(e.innerHTML=\"\")},t}();r.default=h},\n      \"2caf092f2b\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(\"tslib\"),s=e(\"@bokehjs/models/widgets/input_widget\"),o=e(\"@bokehjs/styles/buttons\"),n=e(\"@bokehjs/core/dom\"),a=l.__importStar(e(\"@bokehjs/core/properties\"));class h extends s.InputWidgetView{constructor(){super(...arguments),this._downloadable=!1,this._embed=!1,this._prev_href=\"\",this._prev_download=\"\"}initialize(){super.initialize(),this.model.data&&this.model.filename&&(this._embed=!0)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.button_type.change,()=>this._update_button_style()),this.connect(this.model.properties.filename.change,()=>this._update_download()),this.connect(this.model.properties._transfers.change,()=>this._handle_click()),this.connect(this.model.properties.label.change,()=>this._update_label()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled())}render(){super.render(),this.group_el.style.display=\"flex\",this.group_el.style.alignItems=\"stretch\",this.anchor_el=document.createElement(\"a\"),this._update_button_style(),this._update_label(),this.model.disabled?(this.anchor_el.setAttribute(\"disabled\",\"\"),this._downloadable=!1):(this.anchor_el.removeAttribute(\"disabled\"),this._prev_download&&(this.anchor_el.download=this._prev_download),this._prev_href&&(this.anchor_el.href=this._prev_href),this.anchor_el.download&&this.anchor_el.download&&(this._downloadable=!0)),this._embed?this._make_link_downloadable():(this._click_listener=this._increment_clicks.bind(this),this.anchor_el.addEventListener(\"click\",this._click_listener)),this.group_el.appendChild(this.anchor_el),this.input_el=n.input({type:\"bk_btn, bk_btn_type\"}),this.input_el.addEventListener(\"change\",()=>this.change_input())}_increment_clicks(){this.model.clicks=this.model.clicks+1}_handle_click(){!this.model.auto&&this._downloadable||(this._make_link_downloadable(),!this._embed&&this.model.auto&&(this.anchor_el.removeEventListener(\"click\",this._click_listener),this.anchor_el.click(),this.anchor_el.removeAttribute(\"href\"),this.anchor_el.removeAttribute(\"download\"),this.anchor_el.addEventListener(\"click\",this._click_listener)),this._prev_href=this.anchor_el.getAttribute(\"href\"),this._prev_download=this.anchor_el.getAttribute(\"download\"))}_make_link_downloadable(){this._update_href(),this._update_download(),this.anchor_el.download&&this.anchor_el.href&&(this._downloadable=!0)}_update_href(){if(this.model.data){const e=function(e){const t=atob(e.split(\",\")[1]),i=e.split(\",\")[0].split(\":\")[1].split(\";\")[0],l=new ArrayBuffer(t.length),s=new Uint8Array(l);for(let e=0;e<t.length;e++)s[e]=t.charCodeAt(e);return new Blob([l],{type:i})}(this.model.data);this.anchor_el.href=URL.createObjectURL(e)}}_update_download(){this.model.filename&&(this.anchor_el.download=this.model.filename)}_update_label(){this.anchor_el.textContent=this.model.label}_update_button_style(){if(this.anchor_el.hasAttribute(\"class\")){const e=this.anchor_el.classList.item(1);e&&this.anchor_el.classList.replace(e,o.bk_btn_type(this.model.button_type))}else this.anchor_el.classList.add(o.bk_btn),this.anchor_el.classList.add(o.bk_btn_type(this.model.button_type))}set_disabled(){this.model.disabled?this.anchor_el.setAttribute(\"disabled\",\"\"):this.anchor_el.removeAttribute(\"disabled\")}}i.FileDownloadView=h,h.__name__=\"FileDownloadView\";class _ extends s.InputWidget{constructor(e){super(e)}static init_FileDownload(){this.prototype.default_view=h,this.define({auto:[a.Boolean,!1],clicks:[a.Number,0],data:[a.NullString,null],label:[a.String,\"Download\"],filename:[a.String,null],button_type:[a.ButtonType,\"default\"],_transfers:[a.Number,0]}),this.override({title:\"\"})}}i.FileDownload=_,_.__name__=\"FileDownload\",_.__module__=\"panel.models.widgets\",_.init_FileDownload()},\n      \"7b859fb3cf\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(\"@bokehjs/models/widgets/markup\"),n=e(\"7116a7a602\");class r extends n.PanelMarkupView{render(){super.render(),this.markup_el.innerHTML=this.model.text,window.renderMathInElement&&window.renderMathInElement(this.el,{delimiters:[{left:\"$$\",right:\"$$\",display:!0},{left:\"\\\\[\",right:\"\\\\]\",display:!0},{left:\"$\",right:\"$\",display:!1},{left:\"\\\\(\",right:\"\\\\)\",display:!1}]})}}i.KaTeXView=r,r.__name__=\"KaTeXView\";class s extends a.Markup{constructor(e){super(e)}static init_KaTeX(){this.prototype.default_view=r}}i.KaTeX=s,s.__name__=\"KaTeX\",s.__module__=\"panel.models.katex\",s.init_KaTeX()},\n      \"aded270681\": function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(\"tslib\").__importStar(o(\"@bokehjs/core/properties\")),a=o(\"@bokehjs/core/view\"),n=o(\"@bokehjs/model\");class h extends a.View{initialize(){super.initialize(),this.model.pathname=window.location.pathname,this.model.search=window.location.search,this.model.hash=window.location.hash,this.model.href=window.location.href,this.model.hostname=window.location.hostname,this.model.protocol=window.location.protocol,this.model.port=window.location.port}connect_signals(){super.connect_signals(),this.connect(this.model.properties.pathname.change,()=>this.update(\"pathname\")),this.connect(this.model.properties.search.change,()=>this.update(\"search\")),this.connect(this.model.properties.hash.change,()=>this.update(\"hash\")),this.connect(this.model.properties.reload.change,()=>this.update(\"reload\"))}update(o){this.model.reload&&\"reload\"!==o?(\"pathname\"==o&&(window.location.pathname=this.model.pathname),\"search\"==o&&(window.location.search=this.model.search),\"hash\"==o&&(window.location.hash=this.model.hash)):(window.history.pushState({},\"\",`${this.model.pathname}${this.model.search}${this.model.hash}`),this.model.href=window.location.href,\"reload\"===o&&window.location.reload())}}t.LocationView=h,h.__name__=\"LocationView\";class s extends n.Model{constructor(o){super(o)}static init_Location(){this.prototype.default_view=h,this.define({href:[i.String,\"\"],hostname:[i.String,\"\"],pathname:[i.String,\"\"],protocol:[i.String,\"\"],port:[i.String,\"\"],search:[i.String,\"\"],hash:[i.String,\"\"],reload:[i.Boolean,!1]})}}t.Location=s,s.__name__=\"Location\",s.__module__=\"panel.models.location\",s.init_Location()},\n      \"0c21036737\": function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(\"@bokehjs/models/widgets/markup\"),s=e(\"7116a7a602\");class _ extends s.PanelMarkupView{initialize(){super.initialize(),this._hub=window.MathJax.Hub,this._hub.Config({tex2jax:{inlineMath:[[\"$\",\"$\"],[\"\\\\(\",\"\\\\)\"]]}})}render(){super.render(),this._hub&&(this.markup_el.innerHTML=this.model.text,this._hub.Queue([\"Typeset\",this._hub,this.markup_el]))}}a.MathJaxView=_,_.__name__=\"MathJaxView\";class h extends i.Markup{constructor(e){super(e)}static init_MathJax(){this.prototype.default_view=_}}a.MathJax=h,h.__name__=\"MathJax\",h.__module__=\"panel.models.mathjax\",h.init_MathJax()},\n      \"79c41bbf71\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/models/widgets/widget\");function n(e){e.forEach(e=>e.style.borderStyle=\"inset\")}function a(e){e.forEach(e=>e.style.borderStyle=\"outset\")}class r extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.value.change,()=>this.render()),this.connect(this.model.properties.loop_policy.change,()=>this.set_loop_state(this.model.loop_policy)),this.connect(this.model.properties.show_loop_controls.change,()=>{this.model.show_loop_controls&&this.loop_state.parentNode!=this.groupEl?this.groupEl.appendChild(this.loop_state):this.model.show_loop_controls||this.loop_state.parentNode!=this.groupEl||this.el.removeChild(this.loop_state)})}get_height(){return 250}render(){if(null!=this.sliderEl)return this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),void(this.sliderEl.value=String(this.model.value));super.render(),this.groupEl=o.div(),this.groupEl.style.display=\"flex\",this.groupEl.style.flexDirection=\"column\",this.groupEl.style.alignItems=\"center\",this.sliderEl=document.createElement(\"input\"),this.sliderEl.style.width=\"100%\",this.sliderEl.setAttribute(\"type\",\"range\"),this.sliderEl.value=String(this.model.value),this.sliderEl.min=String(this.model.start),this.sliderEl.max=String(this.model.end),this.sliderEl.onchange=e=>this.set_frame(parseInt(e.target.value));const e=o.div();e.style.cssText=\"margin: 0 auto; display: flex; padding: 5px; align-items: stretch; width: 100%;\";const t=\"text-align: center; min-width: 20px; flex-grow: 1; margin: 2px\",s=\"text-align: center; min-width: 40px; flex-grow: 2; margin: 2px\",i=document.createElement(\"button\");i.style.cssText=t,i.appendChild(document.createTextNode(\"–\")),i.onclick=()=>this.slower(),e.appendChild(i);const l=document.createElement(\"button\");l.style.cssText=s,l.appendChild(document.createTextNode(\"❚◀◀\")),l.onclick=()=>this.first_frame(),e.appendChild(l);const r=document.createElement(\"button\");r.style.cssText=s,r.appendChild(document.createTextNode(\"❚◀\")),r.onclick=()=>this.previous_frame(),e.appendChild(r);const d=document.createElement(\"button\");d.style.cssText=s,d.appendChild(document.createTextNode(\"◀\")),d.onclick=()=>this.reverse_animation(),e.appendChild(d);const h=document.createElement(\"button\");h.style.cssText=s,h.appendChild(document.createTextNode(\"❚❚\")),h.onclick=()=>this.pause_animation(),e.appendChild(h);const p=document.createElement(\"button\");p.style.cssText=s,p.appendChild(document.createTextNode(\"▶\")),p.onclick=()=>this.play_animation(),e.appendChild(p);const c=document.createElement(\"button\");c.style.cssText=s,c.appendChild(document.createTextNode(\"▶❚\")),c.onclick=()=>this.next_frame(),e.appendChild(c);const m=document.createElement(\"button\");m.style.cssText=s,m.appendChild(document.createTextNode(\"▶▶❚\")),m.onclick=()=>this.last_frame(),e.appendChild(m);const _=document.createElement(\"button\");_.style.cssText=t,_.appendChild(document.createTextNode(\"+\")),_.onclick=()=>this.faster(),e.appendChild(_),this._toggle_reverse=()=>{a([h,p]),n([d])},this._toogle_pause=()=>{a([d,p]),n([h])},this._toggle_play=()=>{a([d,h]),n([p])},this.loop_state=document.createElement(\"form\"),this.loop_state.style.cssText=\"margin: 0 auto; display: table\";const u=document.createElement(\"input\");u.type=\"radio\",u.value=\"once\",u.name=\"state\";const g=document.createElement(\"label\");g.innerHTML=\"Once\",g.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const f=document.createElement(\"input\");f.setAttribute(\"type\",\"radio\"),f.setAttribute(\"value\",\"loop\"),f.setAttribute(\"name\",\"state\");const v=document.createElement(\"label\");v.innerHTML=\"Loop\",v.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\";const y=document.createElement(\"input\");y.setAttribute(\"type\",\"radio\"),y.setAttribute(\"value\",\"reflect\"),y.setAttribute(\"name\",\"state\");const x=document.createElement(\"label\");x.innerHTML=\"Reflect\",x.style.cssText=\"padding: 0 10px 0 5px; user-select:none;\",\"once\"==this.model.loop_policy?u.checked=!0:\"loop\"==this.model.loop_policy?f.checked=!0:y.checked=!0,this.loop_state.appendChild(u),this.loop_state.appendChild(g),this.loop_state.appendChild(f),this.loop_state.appendChild(v),this.loop_state.appendChild(y),this.loop_state.appendChild(x),this.groupEl.appendChild(this.sliderEl),this.groupEl.appendChild(e),this.model.show_loop_controls&&this.groupEl.appendChild(this.loop_state),this.el.appendChild(this.groupEl)}set_frame(e){this.model.value!=e&&(this.model.value=e),this.sliderEl.value!=String(e)&&(this.sliderEl.value=String(e))}get_loop_state(){for(var e=this.loop_state.state,t=0;t<e.length;t++){var s=e[t];if(s.checked)return s.value}return\"once\"}set_loop_state(e){for(var t=this.loop_state.state,s=0;s<t.length;s++){var i=t[s];i.value==e&&(i.checked=!0)}}next_frame(){this.set_frame(Math.min(this.model.end,this.model.value+this.model.step))}previous_frame(){this.set_frame(Math.max(this.model.start,this.model.value-this.model.step))}first_frame(){this.set_frame(this.model.start)}last_frame(){this.set_frame(this.model.end)}slower(){this.model.interval=Math.round(this.model.interval/.7),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}faster(){this.model.interval=Math.round(.7*this.model.interval),this.model.direction>0?this.play_animation():this.model.direction<0&&this.reverse_animation()}anim_step_forward(){if(this.model.value<this.model.end)this.next_frame();else{var e=this.get_loop_state();\"loop\"==e?this.first_frame():\"reflect\"==e?(this.last_frame(),this.reverse_animation()):(this.pause_animation(),this.last_frame())}}anim_step_reverse(){if(this.model.value>this.model.start)this.previous_frame();else{var e=this.get_loop_state();\"loop\"==e?this.last_frame():\"reflect\"==e?(this.first_frame(),this.play_animation()):(this.pause_animation(),this.first_frame())}}pause_animation(){this._toogle_pause(),this.model.direction=0,this.timer&&(clearInterval(this.timer),this.timer=null)}play_animation(){this.pause_animation(),this._toggle_play(),this.model.direction=1,this.timer||(this.timer=setInterval(()=>this.anim_step_forward(),this.model.interval))}reverse_animation(){this.pause_animation(),this._toggle_reverse(),this.model.direction=-1,this.timer||(this.timer=setInterval(()=>this.anim_step_reverse(),this.model.interval))}}s.PlayerView=r,r.__name__=\"PlayerView\";class d extends l.Widget{constructor(e){super(e)}static init_Player(){this.prototype.default_view=r,this.define({direction:[i.Number,0],interval:[i.Number,500],start:[i.Number],end:[i.Number],step:[i.Number,1],loop_policy:[i.Any,\"once\"],value:[i.Any,0],show_loop_controls:[i.Boolean,!0]}),this.override({width:400})}}s.Player=d,d.__name__=\"Player\",d.__module__=\"panel.models.widgets\",d.init_Player()},\n      \"47b5ae5c43\": function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),i=t(\"@bokehjs/core/dom\"),l=t(\"@bokehjs/core/util/object\"),s=t(\"@bokehjs/core/util/eq\"),a=t(\"@bokehjs/models/layouts/html_box\"),p=t(\"99a25e6992\"),n=t(\"990b5dd5c7\"),_=t(\"7116a7a602\"),h=(t,e,o)=>{let r=Array.isArray(e)?[]:{};if(\"click\"===o||\"hover\"===o||\"selected\"===o){const o=[];if(null==e)return null;const i=t.data;for(let t=0;t<e.points.length;t++){const r=e.points[t];let l={};for(let t in r){const e=r[t];!r.hasOwnProperty(t)||Array.isArray(e)||n.isPlainObject(e)||(l[t]=e)}null!=r&&(r.hasOwnProperty(\"curveNumber\")&&r.hasOwnProperty(\"pointNumber\")&&i[r.curveNumber].hasOwnProperty(\"customdata\")&&(l.customdata=i[r.curveNumber].customdata[r.pointNumber]),r.hasOwnProperty(\"pointNumbers\")&&(l.pointNumbers=r.pointNumbers)),o[t]=l}r.points=o}else if(\"relayout\"===o||\"restyle\"===o)for(let t in e)e.hasOwnProperty(t)&&(r[t]=e[t]);return e.hasOwnProperty(\"range\")&&(r.range=e.range),e.hasOwnProperty(\"lassoPoints\")&&(r.lassoPoints=e.lassoPoints),r};class u extends _.PanelHTMLBoxView{constructor(){super(...arguments),this._settingViewport=!1,this._plotInitialized=!1,this._reacting=!1,this._relayouting=!1,this._end_relayouting=p.debounce(()=>{this._relayouting=!1},2e3,!1)}connect_signals(){super.connect_signals(),this.connect(this.model.properties.viewport_update_policy.change,this._updateSetViewportFunction),this.connect(this.model.properties.viewport_update_throttle.change,this._updateSetViewportFunction),this.connect(this.model.properties._render_count.change,this.plot),this.connect(this.model.properties.viewport.change,this._updateViewportFromProperty)}render(){super.render(),this._layout_wrapper=i.div({style:\"height: 100%; width: 100%\"}),this.el.appendChild(this._layout_wrapper),window.Plotly&&this.plot()}plot(){if(!window.Plotly)return;const t=[];for(let e=0;e<this.model.data.length;e++)t.push(this._get_trace(e,!1));let e=n.deepCopy(this.model.layout);if(this._relayouting){const{layout:t}=this._layout_wrapper;Object.keys(t).reduce((t,o)=>{\"axis\"===o.slice(1,5)&&\"range\"in t&&(e[o].range=t.range)},{})}this._reacting=!0,window.Plotly.react(this._layout_wrapper,t,e,this.model.config).then(()=>{var t,e;this._updateSetViewportFunction(),this._updateViewportProperty(),this._plotInitialized||(this._layout_wrapper.on(\"plotly_relayout\",t=>{!0!==t._update_from_property&&(this.model.relayout_data=h(this._layout_wrapper,t,\"relayout\"),this._updateViewportProperty(),this._end_relayouting())}),this._layout_wrapper.on(\"plotly_relayouting\",()=>{\"mouseup\"!==this.model.viewport_update_policy&&(this._relayouting=!0,this._updateViewportProperty())}),this._layout_wrapper.on(\"plotly_restyle\",t=>{this.model.restyle_data=h(this._layout_wrapper,t,\"restyle\"),this._updateViewportProperty()}),this._layout_wrapper.on(\"plotly_click\",t=>{this.model.click_data=h(this._layout_wrapper,t,\"click\")}),this._layout_wrapper.on(\"plotly_hover\",t=>{this.model.hover_data=h(this._layout_wrapper,t,\"hover\")}),this._layout_wrapper.on(\"plotly_selected\",t=>{this.model.selected_data=h(this._layout_wrapper,t,\"selected\")}),this._layout_wrapper.on(\"plotly_clickannotation\",t=>{delete t.event,delete t.fullAnnotation,this.model.clickannotation_data=t}),this._layout_wrapper.on(\"plotly_deselect\",()=>{this.model.selected_data=null}),this._layout_wrapper.on(\"plotly_unhover\",()=>{this.model.hover_data=null})),this._plotInitialized=!0,this._reacting=!1,t=this._layout_wrapper,(e=window.getComputedStyle(t).display)&&\"none\"!==e&&window.Plotly.Plots.resize(this._layout_wrapper)})}_get_trace(t,e){const o=l.clone(this.model.data[t]),r=this.model.data_sources[t];for(const t of r.columns()){let i=r.get_array(t)[0];if(null!=i.shape&&i.shape.length>1){const t=[],e=i.shape;for(let o=0;o<e[0];o++)t.push(i.slice(o*e[1],(o+1)*e[1]));i=t}let l=t.split(\".\"),s=l[l.length-1],a=o;for(let t of l.slice(0,-1))a=a[t];e&&1==l.length?a[s]=[i]:a[s]=i}return o}_updateViewportFromProperty(){if(!window.Plotly||this._settingViewport||this._reacting||!this.model.viewport)return;const t=this._layout_wrapper._fullLayout;Object.keys(this.model.viewport).reduce((e,o)=>{if(s.isEqual(n.get(t,o),e))return!0;{let t=n.deepCopy(this.model.viewport);return t._update_from_property=!0,window.Plotly.relayout(this.el,t),!1}},{})}_updateViewportProperty(){const t=this._layout_wrapper._fullLayout;let e={};for(let o in t){if(!t.hasOwnProperty(o))continue;let r=o.slice(0,5);\"xaxis\"!==r&&\"yaxis\"!==r||(e[o+\".range\"]=n.deepCopy(t[o].range))}s.isEqual(e,this.model.viewport)||this._setViewport(e)}_updateSetViewportFunction(){\"continuous\"===this.model.viewport_update_policy||\"mouseup\"===this.model.viewport_update_policy?this._setViewport=t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)}:this._setViewport=n.throttle(t=>{this._settingViewport||(this._settingViewport=!0,this.model.viewport=t,this._settingViewport=!1)},this.model.viewport_update_throttle)}}o.PlotlyPlotView=u,u.__name__=\"PlotlyPlotView\";class d extends a.HTMLBox{constructor(t){super(t)}static init_PlotlyPlot(){this.prototype.default_view=u,this.define({data:[r.Array,[]],layout:[r.Any,{}],config:[r.Any,{}],data_sources:[r.Array,[]],relayout_data:[r.Any,{}],restyle_data:[r.Array,[]],click_data:[r.Any,{}],hover_data:[r.Any,{}],clickannotation_data:[r.Any,{}],selected_data:[r.Any,{}],viewport:[r.Any,{}],viewport_update_policy:[r.String,\"mouseup\"],viewport_update_throttle:[r.Number,200],_render_count:[r.Number,0]})}}o.PlotlyPlot=d,d.__name__=\"PlotlyPlot\",d.__module__=\"panel.models.plotly\",d.init_PlotlyPlot()},\n      \"99a25e6992\": function _(n,l,u){function t(n,l,u){var t,e,o,a,r;function i(){var c=Date.now()-a;c<l&&c>=0?t=setTimeout(i,l-c):(t=null,u||(r=n.apply(o,e),o=e=null))}null==l&&(l=100);var c=function(){o=this,e=arguments,a=Date.now();var c=u&&!t;return t||(t=setTimeout(i,l)),c&&(r=n.apply(o,e),o=e=null),r};return c.clear=function(){t&&(clearTimeout(t),t=null)},c.flush=function(){t&&(r=n.apply(o,e),o=e=null,clearTimeout(t),t=null)},c}t.debounce=t,l.exports=t},\n      \"990b5dd5c7\": function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.get=(t,e,n)=>{const r=n=>String.prototype.split.call(e,n).filter(Boolean).reduce((t,e)=>null!=t?t[e]:t,t),o=r(/[,[\\]]+?/)||r(/[,[\\].]+?/);return void 0===o||o===t?n:o},n.throttle=function(t,e){var n=0;return function(){var r=Number(new Date);r-n>=e&&(t(),n=r)}},n.deepCopy=function t(e){var n;if(null==e||\"object\"!=typeof e)return e;if(e instanceof Array){n=[];for(var r=0,o=e.length;r<o;r++)n[r]=t(e[r]);return n}if(e instanceof Object){const n={};for(const r in e){const o=r;e.hasOwnProperty(o)&&(n[o]=t(e[o]))}return n}throw new Error(\"Unable to copy obj! Its type isn't supported.\")},n.isPlainObject=function(t){return\"[object Object]\"===Object.prototype.toString.call(t)}},\n      \"765e9cea08\": function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),r=e(\"7116a7a602\");class l extends o.HTMLBoxView{connect_signals(){super.connect_signals();const e=()=>{this.render(),this.root.compute_layout()};this.connect(this.model.properties.height.change,e),this.connect(this.model.properties.width.change,e),this.connect(this.model.properties.height_policy.change,e),this.connect(this.model.properties.width_policy.change,e),this.connect(this.model.properties.sizing_mode.change,e),this.connect(this.model.properties.active.change,()=>this.setCSS()),this.connect(this.model.properties.bar_color.change,()=>this.setCSS()),this.connect(this.model.properties.css_classes.change,()=>this.setCSS()),this.connect(this.model.properties.value.change,()=>this.setValue()),this.connect(this.model.properties.max.change,()=>this.setMax())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.progressEl=document.createElement(\"progress\"),this.setValue(),this.setMax(),r.set_size(this.progressEl,this.model),this.setCSS();for(const s in e)this.progressEl.style.setProperty(s,e[s]);this.el.appendChild(this.progressEl)}setCSS(){let e=this.model.css_classes.join(\" \")+\" \"+this.model.bar_color;this.model.active&&(e+=\" active\"),this.progressEl.className=e}setValue(){null!=this.model.value&&(this.progressEl.value=this.model.value)}setMax(){null!=this.model.max&&(this.progressEl.max=this.model.max)}_update_layout(){let e=void 0!==this._prev_sizing_mode&&this._prev_sizing_mode!==this.model.sizing_mode;this._prev_sizing_mode=this.model.sizing_mode,this.layout=new r.CachedVariadicBox(this.el,this.model.sizing_mode,e),this.layout.set_sizing(this.box_sizing())}}t.ProgressView=l,l.__name__=\"ProgressView\";class n extends o.HTMLBox{constructor(e){super(e)}static init_Progress(){this.prototype.default_view=l,this.define({active:[i.Boolean,!0],bar_color:[i.String,\"primary\"],style:[i.Any,{}],max:[i.Number,100],value:[i.Any,null]})}}t.Progress=n,n.__name__=\"Progress\",n.__module__=\"panel.models.widgets\",n.init_Progress()},\n      \"ff9dd91f7b\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\"),n=e(\"@bokehjs/core/dom\"),l=e(\"@bokehjs/core/util/types\"),o=i.__importStar(e(\"@bokehjs/core/properties\")),c=e(\"@bokehjs/models/widgets/input_widget\"),r=e(\"@bokehjs/styles/widgets/inputs\");class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!1,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.style.backgroundImage=\"none\",this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=this.model.value;for(const t of this.el.querySelectorAll(\"option\"))t.value===e&&(t.selected=!0);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\");let t=null;for(const e of this.el.querySelectorAll(\"option\"))if(e.selected){t=e.value;break}this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.SingleSelectView=h,h.__name__=\"SingleSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_SingleSelect(){this.prototype.default_view=h,this.define({value:[o.String,\"\"],options:[o.Array,[]],size:[o.Number,4]})}}s.SingleSelect=d,d.__name__=\"SingleSelect\",d.__module__=\"panel.models.widgets\",d.init_SingleSelect()},\n      \"38b2bc9574\": function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),a=e(\"@bokehjs/core/view\"),o=e(\"@bokehjs/core/util/array\"),c=e(\"@bokehjs/model\"),n=e(\"@bokehjs/protocol/receiver\");class r extends a.View{renderTo(){}}s.StateView=r,r.__name__=\"StateView\";class _ extends c.Model{constructor(e){super(e),this._receiver=new n.Receiver,this._cache={}}apply_state(e){this._receiver.consume(e.header),this._receiver.consume(e.metadata),this._receiver.consume(e.content),this._receiver.message&&this.document&&this.document.apply_json_patch(this._receiver.message.content)}_receive_json(e,t){const s=JSON.parse(e);this._cache[t]=s;let i=this.state;for(const e of this.values)i=i[e];i===t?this.apply_state(s):this._cache[i]&&this.apply_state(this._cache[i])}set_state(e,t){let s=o.copy(this.values);s[this.widgets[e.id]]=t;let i=this.state;for(const e of s)i=i[e];var a,c,n;this.values=s,this.json?this._cache[i]?this.apply_state(this._cache[i]):(a=i,c=e=>this._receive_json(e,i),(n=new XMLHttpRequest).overrideMimeType(\"application/json\"),n.open(\"GET\",a,!0),n.onreadystatechange=function(){4==n.readyState&&200==n.status&&c(n.responseText)},n.send(null)):this.apply_state(i)}static init_State(){this.prototype.default_view=r,this.define({json:[i.Boolean,!1],state:[i.Any,{}],widgets:[i.Any,{}],values:[i.Any,[]]})}}s.State=_,_.__name__=\"State\",_.__module__=\"panel.models.state\",_.init_State()},\n      \"294adeb985\": function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),a=t(\"@bokehjs/core/util/types\"),n=t(\"@bokehjs/models/layouts/html_box\");class c extends n.HTMLBoxView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,this._plot),this.connect(this.model.properties.data_sources.change,()=>this._connect_sources()),this._connected=[],this._connect_sources()}_connect_sources(){for(const t in this.model.data_sources){const e=this.model.data_sources[t];this._connected.indexOf(t)<0&&(this.connect(e.properties.data.change,this._plot),this._connected.push(t))}}_fetch_datasets(){const t={};for(const e in this.model.data_sources){const s=this.model.data_sources[e],o=[],a=s.columns();for(let t=0;t<s.get_length();t++){const e={};for(const o of a)e[o]=s.data[o][t];o.push(e)}t[e]=o}return t}render(){super.render(),this._plot()}_plot(){const t=this.model.data;if(null!=t&&window.vegaEmbed){if(this.model.data_sources&&Object.keys(this.model.data_sources).length>0){const e=this._fetch_datasets();if(\"data\"in e&&(t.data.values=e.data,delete e.data),null!=t.data){const s=a.isArray(t.data)?t.data:[t.data];for(const t of s)t.name in e&&(t.values=e[t.name],delete e[t.name])}this.model.data.datasets=e}window.vegaEmbed(this.el,this.model.data,{actions:!1})}}}s.VegaPlotView=c,c.__name__=\"VegaPlotView\";class i extends n.HTMLBox{constructor(t){super(t)}static init_VegaPlot(){this.prototype.default_view=c,this.define({data:[o.Any],data_sources:[o.Any]})}}s.VegaPlot=i,i.__name__=\"VegaPlot\",i.__module__=\"panel.models.vega\",i.init_VegaPlot()},\n      \"b0c3e9e9c2\": function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"@bokehjs/models/layouts/html_box\"),l=e(\"7116a7a602\");class d extends l.PanelHTMLBoxView{initialize(){super.initialize(),this._blocked=!1,this._setting=!1,this._time=Date.now()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.loop.change,()=>this.set_loop()),this.connect(this.model.properties.paused.change,()=>this.set_paused()),this.connect(this.model.properties.time.change,()=>this.set_time()),this.connect(this.model.properties.value.change,()=>this.set_value()),this.connect(this.model.properties.volume.change,()=>this.set_volume())}render(){super.render(),this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.videoEl.controls=!0,this.videoEl.src=this.model.value,this.videoEl.currentTime=this.model.time,this.videoEl.loop=this.model.loop,null!=this.model.volume?this.videoEl.volume=this.model.volume/100:this.model.volume=100*this.videoEl.volume,this.videoEl.onpause=()=>this.model.paused=!0,this.videoEl.onplay=()=>this.model.paused=!1,this.videoEl.ontimeupdate=()=>this.update_time(this),this.videoEl.onvolumechange=()=>this.update_volume(this),this.el.appendChild(this.videoEl),this.model.paused||this.videoEl.play()}update_time(e){e._setting?e._setting=!1:Date.now()-e._time<e.model.throttle||(e._blocked=!0,e.model.time=e.videoEl.currentTime,e._time=Date.now())}update_volume(e){e._setting?e._setting=!1:(e._blocked=!0,e.model.volume=100*e.videoEl.volume)}set_loop(){this.videoEl.loop=this.model.loop}set_paused(){!this.videoEl.paused&&this.model.paused&&this.videoEl.pause(),this.videoEl.paused&&!this.model.paused&&this.videoEl.play()}set_volume(){this._blocked?this._blocked=!1:(this._setting=!0,null!=this.model.volume&&(this.videoEl.volume=this.model.volume/100))}set_time(){this._blocked?this._blocked=!1:(this._setting=!0,this.videoEl.currentTime=this.model.time)}set_value(){this.videoEl.src=this.model.value}}t.VideoView=d,d.__name__=\"VideoView\";class h extends s.HTMLBox{constructor(e){super(e)}static init_Video(){this.prototype.default_view=d,this.define({loop:[o.Boolean,!1],paused:[o.Boolean,!0],time:[o.Number,0],throttle:[o.Number,250],value:[o.Any,\"\"],volume:[o.Number,null]})}}t.Video=h,h.__name__=\"Video\",h.__module__=\"panel.models.widgets\",h.init_Video()},\n      \"3c7145a2fa\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),o=e(\"@bokehjs/models/layouts/html_box\"),h=e(\"7116a7a602\");class a extends h.PanelHTMLBoxView{constructor(){super(...arguments),this.constraints={audio:!1,video:!0}}initialize(){super.initialize(),null!==this.model.timeout&&this.set_timeout()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.timeout.change,()=>this.set_timeout()),this.connect(this.model.properties.snapshot.change,()=>this.snapshot()),this.connect(this.model.properties.paused.change,()=>this.pause())}pause(){this.model.paused&&(null!=this.timer&&(clearInterval(this.timer),this.timer=null),this.videoEl.pause()),this.set_timeout()}set_timeout(){this.timer&&(clearInterval(this.timer),this.timer=null),this.model.timeout>0&&(this.timer=setInterval(()=>this.snapshot(),this.model.timeout))}snapshot(){this.canvasEl.width=this.videoEl.videoWidth,this.canvasEl.height=this.videoEl.videoHeight;const e=this.canvasEl.getContext(\"2d\");e&&e.drawImage(this.videoEl,0,0,this.canvasEl.width,this.canvasEl.height),this.model.value=this.canvasEl.toDataURL(\"image/\"+this.model.format,.95)}remove(){super.remove(),this.timer&&(clearInterval(this.timer),this.timer=null)}render(){super.render(),this.videoEl||(this.videoEl=document.createElement(\"video\"),this.model.sizing_mode&&\"fixed\"!==this.model.sizing_mode||(this.model.height&&(this.videoEl.height=this.model.height),this.model.width&&(this.videoEl.width=this.model.width)),this.videoEl.style.objectFit=\"fill\",this.videoEl.style.minWidth=\"100%\",this.videoEl.style.minHeight=\"100%\",this.canvasEl=document.createElement(\"canvas\"),this.el.appendChild(this.videoEl),navigator.mediaDevices.getUserMedia&&navigator.mediaDevices.getUserMedia(this.constraints).then(e=>{this.videoEl.srcObject=e,this.model.paused||this.videoEl.play()}).catch(console.error))}}i.VideoStreamView=a,a.__name__=\"VideoStreamView\";class l extends o.HTMLBox{constructor(e){super(e)}static init_VideoStream(){this.prototype.default_view=a,this.define({format:[s.String,\"png\"],paused:[s.Boolean,!1],snapshot:[s.Boolean,!1],timeout:[s.Number,0],value:[s.Any]}),this.override({height:240,width:320})}}i.VideoStream=l,l.__name__=\"VideoStream\",l.__module__=\"panel.models.widgets\",l.init_VideoStream()},\n      \"c51f25e2a7\": function _(e,o,l){Object.defineProperty(l,\"__esModule\",{value:!0});var V=e(\"6ed30646d7\");l.VTKJSPlot=V.VTKJSPlot;var t=e(\"087f1e0be6\");l.VTKVolumePlot=t.VTKVolumePlot;var a=e(\"3ae7537200\");l.VTKAxes=a.VTKAxes;var r=e(\"4baab0b7ce\");l.VTKSynchronizedPlot=r.VTKSynchronizedPlot},\n      \"6ed30646d7\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),s=e(\"021b2a3929\"),a=e(\"6c442cdcb4\");class r extends s.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this.invalidate_render()})}render(){super.render(),this._create_orientation_widget(),this._set_axes()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=a.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){if(!this.model.data)return void this._vtk_renwin.getRenderWindow().render();const e=a.vtkns.DataAccessHelper.get(\"zip\",{zipContent:atob(this.model.data),callback:t=>{const n=a.vtkns.HttpSceneLoader.newInstance({renderer:this._vtk_renwin.getRenderer(),dataAccessHelper:e}),i=a.vtk.macro.debounce(()=>setTimeout(()=>{null==this._axes&&this.model.axes&&this._set_axes(),this._set_camera_state(),this._get_camera_state()},100),100);n.setUrl(\"index.json\"),n.onReady(i)}})}}n.VTKJSPlotView=r,r.__name__=\"VTKJSPlotView\";class o extends s.AbstractVTKPlot{static init_VTKJSPlot(){this.prototype.default_view=r,this.define({data:[i.String],enable_keybindings:[i.Boolean,!1]})}}n.VTKJSPlot=o,o.__name__=\"VTKJSPlot\",o.init_VTKJSPlot()},\n      \"021b2a3929\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/dom\"),s=e(\"@bokehjs/models/layouts/html_box\"),a=e(\"@bokehjs/core/util/object\"),o=e(\"7116a7a602\"),_=e(\"6c442cdcb4\"),d=e(\"c010237f8b\"),c={padding:\"0px 2px 0px 2px\",maxHeight:\"150px\",height:\"auto\",backgroundColor:\"rgba(255, 255, 255, 0.4)\",borderRadius:\"10px\",margin:\"2px\",boxSizing:\"border-box\",overflow:\"hidden\",overflowY:\"auto\",transition:\"width 0.1s linear\",bottom:\"0px\",position:\"absolute\"};class h extends o.PanelHTMLBoxView{initialize(){super.initialize(),this._camera_callbacks=[],this._renderable=!0,this._setting_camera=!1}_add_colorbars(){const e=this.el.querySelector(\".vtk_info\");if(e&&this.el.removeChild(e),this.model.color_mappers.length<1)return;const t=document.createElement(\"div\");t.classList.add(\"vtk_info\"),_.applyStyle(t,c),_.applyStyle(t,{width:\"350px\"}),this.el.appendChild(t);const i=[];this.model.color_mappers.forEach(e=>{const n=new d.VTKColorBar(t,e);i.push(n)});const n=document.createElement(\"div\");_.applyStyle(n,{textAlign:\"center\",fontSize:\"20px\"}),n.innerText=\"...\",t.addEventListener(\"click\",()=>{\"30px\"===t.style.width?(t.removeChild(n),_.applyStyle(t,{height:\"auto\",width:\"350px\"}),i.forEach(e=>t.appendChild(e.canvas))):(i.forEach(e=>t.removeChild(e.canvas)),_.applyStyle(t,{height:\"30px\",width:\"30px\"}),t.appendChild(n))}),t.click()}connect_signals(){super.connect_signals(),this.on_change(this.model.properties.orientation_widget,()=>{this._orientation_widget_visibility(this.model.orientation_widget)}),this.on_change(this.model.properties.camera,()=>this._set_camera_state()),this.on_change(this.model.properties.axes,()=>{this._delete_axes(),this.model.axes&&this._set_axes(),this._vtk_render()}),this.on_change(this.model.properties.color_mappers,()=>this._add_colorbars())}render(){super.render(),this._vtk_renwin&&this._vtk_container?(o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container)):(this._orientationWidget=null,this._axes=null,this._vtk_container=r.div(),this.init_vtk_renwin(),o.set_size(this._vtk_container,this.model),this.el.appendChild(this._vtk_container),this._vtk_renwin.getInteractor().onEndAnimation(()=>this._get_camera_state()),this._remove_default_key_binding(),this._bind_key_events(),this.plot(),this._add_colorbars(),this.model.renderer_el=this._vtk_renwin)}after_layout(){super.after_layout(),this._renderable&&this._vtk_renwin.resize(),this._vtk_render()}invalidate_render(){this._unsubscribe_camera_cb(),super.invalidate_render()}remove(){this._unsubscribe_camera_cb(),window.removeEventListener(\"resize\",this._vtk_renwin.resize),this._vtk_renwin.delete(),super.remove()}get _vtk_camera_state(){const e=this._vtk_renwin.getRenderer().getActiveCamera();let t;return e&&(t=a.clone(e.get()),delete t.classHierarchy,delete t.vtkObject,delete t.vtkCamera,delete t.viewPlaneNormal,delete t.flattenedDepIds,delete t.managedInstanceId,delete t.directionOfProjection),t}get _axes_canvas(){let e=this._vtk_container.querySelector(\".axes-canvas\");return e||(e=r.canvas({style:{position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"}}),e.classList.add(\"axes-canvas\"),this._vtk_container.appendChild(e),this._vtk_renwin.setResizeCallback(()=>{if(this._axes_canvas){const e=this._vtk_container.getBoundingClientRect(),t=Math.floor(e.width*window.devicePixelRatio),i=Math.floor(e.height*window.devicePixelRatio);this._axes_canvas.setAttribute(\"width\",t.toFixed()),this._axes_canvas.setAttribute(\"height\",i.toFixed())}})),e}_bind_key_events(){this.el.addEventListener(\"mouseenter\",()=>{const e=this._vtk_renwin.getInteractor();this.model.enable_keybindings&&(document.querySelector(\"body\").addEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").addEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").addEventListener(\"keyup\",e.handleKeyUp))}),this.el.addEventListener(\"mouseleave\",()=>{const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)})}_create_orientation_widget(){const e=_.vtkns.AxesActor.newInstance();this._orientationWidget=_.vtkns.OrientationMarkerWidget.newInstance({actor:e,interactor:this._vtk_renwin.getInteractor()}),this._orientationWidget.setEnabled(!0),this._orientationWidget.setViewportCorner(_.vtkns.OrientationMarkerWidget.Corners.BOTTOM_RIGHT),this._orientationWidget.setViewportSize(.15),this._orientationWidget.setMinPixelSize(75),this._orientationWidget.setMaxPixelSize(300),this.model.interactive_orientation_widget&&this._make_orientation_widget_interactive(),this._orientation_widget_visibility(this.model.orientation_widget)}_make_orientation_widget_interactive(){this._widgetManager=_.vtkns.WidgetManager.newInstance(),this._widgetManager.setRenderer(this._orientationWidget.getRenderer());const e=this._orientationWidget.getActor(),t=_.vtkns.InteractiveOrientationWidget.newInstance();t.placeWidget(e.getBounds()),t.setBounds(e.getBounds()),t.setPlaceFactor(1);this._widgetManager.addWidget(t).onOrientationChange(({direction:e})=>{const t=this._vtk_renwin.getRenderer().getActiveCamera(),i=t.getFocalPoint(),n=t.getPosition(),r=t.getViewUp(),s=Math.sqrt(Math.pow(n[0]-i[0],2)+Math.pow(n[1]-i[1],2)+Math.pow(n[2]-i[2],2));t.setPosition(i[0]+e[0]*s,i[1]+e[1]*s,i[2]+e[2]*s),e[0]&&t.setViewUp(_.majorAxis(r,1,2)),e[1]&&t.setViewUp(_.majorAxis(r,0,2)),e[2]&&t.setViewUp(_.majorAxis(r,0,1)),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._get_camera_state()})}_delete_axes(){if(this._axes){Object.keys(this._axes).forEach(e=>this._vtk_renwin.getRenderer().removeActor(this._axes[e])),this._axes=null;const e=this._axes_canvas.getContext(\"2d\");e&&e.clearRect(0,0,this._axes_canvas.clientWidth*window.devicePixelRatio,this._axes_canvas.clientHeight*window.devicePixelRatio)}}_get_camera_state(){this._setting_camera||(this._setting_camera=!0,this.model.camera=this._vtk_camera_state,this._setting_camera=!1)}_orientation_widget_visibility(e){this._orientationWidget.setEnabled(e),null!=this._widgetManager&&(e?this._widgetManager.enablePicking():this._widgetManager.disablePicking()),this._vtk_render()}_remove_default_key_binding(){const e=this._vtk_renwin.getInteractor();document.querySelector(\"body\").removeEventListener(\"keypress\",e.handleKeyPress),document.querySelector(\"body\").removeEventListener(\"keydown\",e.handleKeyDown),document.querySelector(\"body\").removeEventListener(\"keyup\",e.handleKeyUp)}_set_axes(){if(this.model.axes&&this._vtk_renwin.getRenderer()){const{psActor:e,axesActor:t,gridActor:i}=this.model.axes.create_axes(this._axes_canvas);this._axes={psActor:e,axesActor:t,gridActor:i},this._vtk_renwin.getRenderer().addActor(e),this._vtk_renwin.getRenderer().addActor(t),this._vtk_renwin.getRenderer().addActor(i)}}_set_camera_state(){this._setting_camera||void 0===this._vtk_renwin.getRenderer()||(this._setting_camera=!0,this.model.camera&&JSON.stringify(this.model.camera)!=JSON.stringify(this._vtk_camera_state)&&this._vtk_renwin.getRenderer().getActiveCamera().set(this.model.camera),this._vtk_renwin.getRenderer().resetCameraClippingRange(),this._vtk_render(),this._setting_camera=!1)}_unsubscribe_camera_cb(){this._camera_callbacks.splice(0,this._camera_callbacks.length).map(e=>e.unsubscribe())}_vtk_render(){this._renderable&&(this._orientationWidget&&this._orientationWidget.updateMarkerOrientation(),this._vtk_renwin.getRenderWindow().render())}}i.AbstractVTKView=h,h.__name__=\"AbstractVTKView\";class l extends s.HTMLBox{constructor(e){super(e)}getActors(){return this.renderer_el.getRenderer().getActors()}static init_AbstractVTKPlot(){this.define({axes:[n.Instance],camera:[n.Instance],color_mappers:[n.Array,[]],orientation_widget:[n.Boolean,!1],interactive_orientation_widget:[n.Boolean,!1]}),this.override({height:300,width:300})}}i.AbstractVTKPlot=l,l.__name__=\"AbstractVTKPlot\",l.__module__=\"panel.models.vtk\",l.init_AbstractVTKPlot()},\n      \"6c442cdcb4\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(\"@bokehjs/core/util/array\");if(n.ARRAY_TYPES={uint8:Uint8Array,int8:Int8Array,uint16:Uint16Array,int16:Int16Array,uint32:Uint32Array,int32:Int32Array,float32:Float32Array,float64:Float64Array},n.vtk=window.vtk,n.vtkns={},n.vtk){n.vtkns.Actor=n.vtk.Rendering.Core.vtkActor,n.vtkns.AxesActor=n.vtk.Rendering.Core.vtkAxesActor,n.vtkns.Base64=n.vtk.Common.Core.vtkBase64,n.vtkns.BoundingBox=n.vtk.Common.DataModel.vtkBoundingBox,n.vtkns.Camera=n.vtk.Rendering.Core.vtkCamera,n.vtkns.ColorTransferFunction=n.vtk.Rendering.Core.vtkColorTransferFunction,n.vtkns.CubeSource=n.vtk.Filters.Sources.vtkCubeSource,n.vtkns.DataAccessHelper=n.vtk.IO.Core.DataAccessHelper,n.vtkns.DataArray=n.vtk.Common.Core.vtkDataArray,n.vtkns.Follower=n.vtk.Rendering.Core.vtkFollower,n.vtkns.FullScreenRenderWindow=n.vtk.Rendering.Misc.vtkFullScreenRenderWindow,n.vtkns.Glyph3DMapper=n.vtk.Rendering.Core.vtkGlyph3DMapper,n.vtkns.HttpSceneLoader=n.vtk.IO.Core.vtkHttpSceneLoader,n.vtkns.ImageData=n.vtk.Common.DataModel.vtkImageData,n.vtkns.ImageMapper=n.vtk.Rendering.Core.vtkImageMapper,n.vtkns.ImageProperty=n.vtk.Rendering.Core.vtkImageProperty,n.vtkns.ImageSlice=n.vtk.Rendering.Core.vtkImageSlice,n.vtkns.InteractiveOrientationWidget=n.vtk.Widgets.Widgets3D.vtkInteractiveOrientationWidget,n.vtkns.InteractorStyleTrackballCamera=n.vtk.Interaction.Style.vtkInteractorStyleTrackballCamera,n.vtkns.Light=n.vtk.Rendering.Core.vtkLight,n.vtkns.LineSource=n.vtk.Filters.Sources.vtkLineSource,n.vtkns.LookupTable=n.vtk.Common.Core.vtkLookupTable,n.vtkns.macro=n.vtk.macro,n.vtkns.Mapper=n.vtk.Rendering.Core.vtkMapper,n.vtkns.OpenGLRenderWindow=n.vtk.Rendering.OpenGL.vtkRenderWindow,n.vtkns.OrientationMarkerWidget=n.vtk.Interaction.Widgets.vtkOrientationMarkerWidget,n.vtkns.OutlineFilter=n.vtk.Filters.General.vtkOutlineFilter,n.vtkns.PiecewiseFunction=n.vtk.Common.DataModel.vtkPiecewiseFunction,n.vtkns.PixelSpaceCallbackMapper=n.vtk.Rendering.Core.vtkPixelSpaceCallbackMapper,n.vtkns.PlaneSource=n.vtk.Filters.Sources.vtkPlaneSource,n.vtkns.PointSource=n.vtk.Filters.Sources.vtkPointSource,n.vtkns.PolyData=n.vtk.Common.DataModel.vtkPolyData,n.vtkns.Property=n.vtk.Rendering.Core.vtkProperty,n.vtkns.Renderer=n.vtk.Rendering.Core.vtkRenderer,n.vtkns.RenderWindow=n.vtk.Rendering.Core.vtkRenderWindow,n.vtkns.RenderWindowInteractor=n.vtk.Rendering.Core.vtkRenderWindowInteractor,n.vtkns.SphereMapper=n.vtk.Rendering.Core.vtkSphereMapper,n.vtkns.SynchronizableRenderWindow=n.vtk.Rendering.Misc.vtkSynchronizableRenderWindow,n.vtkns.ThirdParty=n.vtk.ThirdParty,n.vtkns.Texture=n.vtk.Rendering.Core.vtkTexture,n.vtkns.Volume=n.vtk.Rendering.Core.vtkVolume,n.vtkns.VolumeController=n.vtk.Interaction.UI.vtkVolumeController,n.vtkns.VolumeMapper=n.vtk.Rendering.Core.vtkVolumeMapper,n.vtkns.VolumeProperty=n.vtk.Rendering.Core.vtkVolumeProperty,n.vtkns.WidgetManager=n.vtk.Widgets.Core.vtkWidgetManager;const{vtkObjectManager:e}=n.vtkns.SynchronizableRenderWindow;e.setTypeMapping(\"vtkVolumeMapper\",n.vtkns.VolumeMapper.newInstance,e.oneTimeGenericUpdater),e.setTypeMapping(\"vtkSmartVolumeMapper\",n.vtkns.VolumeMapper.newInstance,e.oneTimeGenericUpdater),e.setTypeMapping(\"vtkFollower\",n.vtkns.Follower.newInstance,e.genericUpdater)}function o(e){const t=Math.min(Math.max(Math.round(e),0),255).toString(16);return 2==t.length?t:\"0\"+t}function a(e,t,n){return\"#\"+o(e)+o(t)+o(n)}function k(e){for(var t=new ArrayBuffer(e.length),n=new Uint8Array(t),r=0,o=e.length;r<o;r++)n[r]=e.charCodeAt(r);return t}n.applyStyle=function(e,t){Object.keys(t).forEach(n=>{e.style[n]=t[n]})},n.hexToRGB=function(e){return[parseInt(e.slice(1,3),16)/255,parseInt(e.slice(3,5),16)/255,parseInt(e.slice(5,7),16)/255]},n.rgbToHex=a,n.vtkLutToMapper=function(e){const{scale:t,nodes:o}=e.get(\"scale\",\"nodes\");if(t!==n.vtkns.ColorTransferFunction.Scale.LINEAR)throw\"Error transfer function scale not handle\";const k=o.map(e=>e.x),v=Math.min(...k),i=Math.max(...k),s=r.linspace(v,i,255),c=[0,0,0];return{low:v,high:i,palette:s.map(t=>(e.getColor(t,c),a(255*c[0],255*c[1],255*c[2])))}},n.data2VTKImageData=function(e){const t=n.vtkns.ImageData.newInstance({spacing:e.spacing});t.setDimensions(e.dims),t.setOrigin(null!=e.origin?e.origin:e.dims.map(e=>e/2));const r=n.vtkns.DataArray.newInstance({name:\"scalars\",numberOfComponents:1,values:new n.ARRAY_TYPES[e.dtype](k(atob(e.buffer)))});return t.getPointData().setScalars(r),t},n.majorAxis=function(e,t,n){const r=[0,0,0],o=Math.abs(e[t])>Math.abs(e[n])?t:n,a=e[o]>0?1:-1;return r[o]=a,r},n.cartesian_product=function(...e){return e.reduce((e,t)=>e.flatMap(e=>t.map(t=>[].concat(e,t))))}},\n      \"c010237f8b\": function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(\"@bokehjs/models/mappers\"),h=t(\"@bokehjs/core/util/array\");class a{constructor(t,i,e={}){this.parent=t,this.mapper=i,this.options=e,e.ticksNum||(e.ticksNum=5),e.fontFamily||(e.fontFamily=\"Arial\"),e.fontSize||(e.fontSize=\"12px\"),e.ticksSize||(e.ticksSize=2),this.canvas=document.createElement(\"canvas\"),this.canvas.style.width=\"100%\",this.parent.appendChild(this.canvas),this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`,this.ctx.lineWidth=e.ticksSize,e.height||(e.height=4*(this.font_height+1)+\"px\"),this.canvas.style.height=e.height,this.draw_colorbar()}get values(){const{min:t,max:i}=this.mapper.metrics;return h.linspace(t,i,this.options.ticksNum)}get ticks(){return this.values.map(t=>t.toExponential(3))}get title(){return this.mapper.name?this.mapper.name:\"scalars\"}get font_height(){let t=0;return this.values.forEach(i=>{const{actualBoundingBoxAscent:e,actualBoundingBoxDescent:s}=this.ctx.measureText(\"\"+i),h=e+s;t<h&&(t=h)}),t}draw_colorbar(){this.canvas.width=this.canvas.clientWidth,this.canvas.height=this.canvas.clientHeight;const{palette:t}=this.mapper;this.ctx.font=`${this.options.fontSize} ${this.options.fontFamily}`;const i=this.font_height;this.ctx.save();const e=document.createElement(\"canvas\"),a=t.length;e.width=a,e.height=1;const n=e.getContext(\"2d\"),c=n.getImageData(0,0,a,1),o=new s.LinearColorMapper({palette:t}).rgba_mapper.v_compute(h.range(0,t.length));c.data.set(o),n.putImageData(c,0,0),this.ctx.drawImage(e,0,2*(this.font_height+1)+1,this.canvas.width,this.canvas.height),this.ctx.restore(),this.ctx.save(),this.ctx.textAlign=\"center\",this.ctx.fillText(this.title,this.canvas.width/2,i+1),this.ctx.restore(),this.ctx.save();const r=h.linspace(0,this.canvas.width,5);r.forEach((t,e)=>{let s=t;0==e?(s=t+Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"left\"):e==r.length-1?(s=t-Math.ceil(this.ctx.lineWidth/2),this.ctx.textAlign=\"right\"):this.ctx.textAlign=\"center\",this.ctx.moveTo(s,2*(i+1)),this.ctx.lineTo(s,2*(i+1)+5),this.ctx.stroke(),this.ctx.fillText(\"\"+this.ticks[e],t,2*(i+1))}),this.ctx.restore()}}e.VTKColorBar=a,a.__name__=\"VTKColorBar\"},\n      \"087f1e0be6\": function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),n=e(\"021b2a3929\"),r=e(\"6c442cdcb4\");class o extends n.AbstractVTKView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.data.change,()=>{this._vtk_image_data=r.data2VTKImageData(this.model.data),this.invalidate_render()}),this.connect(this.model.properties.colormap.change,()=>{this.colormap_selector.value=this.model.colormap;const e=new Event(\"change\");this.colormap_selector.dispatchEvent(e)}),this.connect(this.model.properties.shadow.change,()=>{this.shadow_selector.value=this.model.shadow?\"1\":\"0\";const e=new Event(\"change\");this.shadow_selector.dispatchEvent(e)}),this.connect(this.model.properties.sampling.change,()=>{this.sampling_slider.value=this.model.sampling.toFixed(2);const e=new Event(\"input\");this.sampling_slider.dispatchEvent(e)}),this.connect(this.model.properties.edge_gradient.change,()=>{this.edge_gradient_slider.value=this.model.edge_gradient.toFixed(2);const e=new Event(\"input\");this.edge_gradient_slider.dispatchEvent(e)}),this.connect(this.model.properties.rescale.change,()=>{this._controllerWidget.setRescaleColorMap(this.model.rescale),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.ambient.change,()=>{this.volume.getProperty().setAmbient(this.model.ambient),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.diffuse.change,()=>{this.volume.getProperty().setDiffuse(this.model.diffuse),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular.change,()=>{this.volume.getProperty().setSpecular(this.model.specular),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.specular_power.change,()=>{this.volume.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_volume.change,()=>{this._set_volume_visibility(this.model.display_volume),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.display_slices.change,()=>{this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.slice_i.change,()=>{void 0!==this.image_actor_i&&(this.image_actor_i.getMapper().setISlice(this.model.slice_i),this._vtk_renwin.getRenderWindow().render())}),this.connect(this.model.properties.slice_j.change,()=>{void 0!==this.image_actor_j&&(this.image_actor_j.getMapper().setJSlice(this.model.slice_j),this._vtk_renwin.getRenderWindow().render())}),this.connect(this.model.properties.slice_k.change,()=>{void 0!==this.image_actor_k&&(this.image_actor_k.getMapper().setKSlice(this.model.slice_k),this._vtk_renwin.getRenderWindow().render())}),this.connect(this.model.properties.render_background.change,()=>{this._vtk_renwin.getRenderer().setBackground(...r.hexToRGB(this.model.render_background)),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.interpolation.change,()=>{this._set_interpolation(this.model.interpolation),this._vtk_renwin.getRenderWindow().render()}),this.connect(this.model.properties.controller_expanded.change,()=>{null!=this._controllerWidget&&this._controllerWidget.setExpanded(this.model.controller_expanded)})}render(){this._vtk_renwin=null,this._orientationWidget=null,this._axes=null,super.render(),this._create_orientation_widget(),this._set_axes(),this.model.camera?this._set_camera_state():this._vtk_renwin.getRenderer().resetCamera(),this._get_camera_state()}invalidate_render(){this._vtk_renwin=null,super.invalidate_render()}init_vtk_renwin(){this._vtk_renwin=r.vtkns.FullScreenRenderWindow.newInstance({rootContainer:this.el,container:this._vtk_container})}plot(){this._controllerWidget=r.vtkns.VolumeController.newInstance({size:[400,150],rescaleColorMap:this.model.rescale}),this._plot_volume(),this._plot_slices(),this._controllerWidget.setupContent(this._vtk_renwin.getRenderWindow(),this.volume,!0),this._controllerWidget.setContainer(this.el),this._controllerWidget.setExpanded(this.model.controller_expanded),this._connect_js_controls(),this._vtk_renwin.getRenderWindow().getInteractor(),this._vtk_renwin.getRenderWindow().getInteractor().setDesiredUpdateRate(45),this._set_volume_visibility(this.model.display_volume),this._set_slices_visibility(this.model.display_slices),this._vtk_renwin.getRenderer().setBackground(...r.hexToRGB(this.model.render_background)),this._set_interpolation(this.model.interpolation),this._set_camera_state()}get vtk_image_data(){return this._vtk_image_data||(this._vtk_image_data=r.data2VTKImageData(this.model.data)),this._vtk_image_data}get volume(){return this._vtk_renwin.getRenderer().getVolumes()[0]}get image_actor_i(){return this._vtk_renwin.getRenderer().getActors()[0]}get image_actor_j(){return this._vtk_renwin.getRenderer().getActors()[1]}get image_actor_k(){return this._vtk_renwin.getRenderer().getActors()[2]}get shadow_selector(){return this.el.querySelector(\".js-shadow\")}get edge_gradient_slider(){return this.el.querySelector(\".js-edge\")}get sampling_slider(){return this.el.querySelector(\".js-spacing\")}get colormap_selector(){return this.el.querySelector(\".js-color-preset\")}_connect_js_controls(){const{el:e}=this._controllerWidget.get(\"el\");if(void 0!==e){e.querySelector(\".js-button\").addEventListener(\"click\",()=>this.model.controller_expanded=this._controllerWidget.getExpanded())}this.colormap_selector.addEventListener(\"change\",()=>{this.model.colormap=this.colormap_selector.value}),this.model.colormap?this.model.properties.colormap.change.emit():this.model.colormap=this.colormap_selector.value,this.shadow_selector.addEventListener(\"change\",()=>{this.model.shadow=!!Number(this.shadow_selector.value)}),(this.model.shadow=!!Number(this.shadow_selector.value))&&this.model.properties.shadow.change.emit(),this.sampling_slider.addEventListener(\"input\",()=>{const e=Number(this.sampling_slider.value);Math.abs(this.model.sampling-e)>=.005&&(this.model.sampling=e)}),Math.abs(this.model.sampling-Number(this.shadow_selector.value))>=.005&&this.model.properties.sampling.change.emit(),this.edge_gradient_slider.addEventListener(\"input\",()=>{const e=Number(this.edge_gradient_slider.value);Math.abs(this.model.edge_gradient-e)>=.005&&(this.model.edge_gradient=e)}),Math.abs(this.model.edge_gradient-Number(this.edge_gradient_slider.value))>=.005&&this.model.properties.edge_gradient.change.emit()}_plot_slices(){const e=this._vtk_image_data,t=r.vtkns.ImageSlice.newInstance(),i=r.vtkns.ImageSlice.newInstance(),s=r.vtkns.ImageSlice.newInstance(),n=r.vtkns.ImageMapper.newInstance(),o=r.vtkns.ImageMapper.newInstance(),a=r.vtkns.ImageMapper.newInstance();n.setInputData(e),n.setISlice(this.model.slice_i),t.setMapper(n),o.setInputData(e),o.setJSlice(this.model.slice_j),i.setMapper(o),a.setInputData(e),a.setKSlice(this.model.slice_k),s.setMapper(a);const l=r.vtkns.PiecewiseFunction.newInstance();l.removeAllPoints(),l.addPoint(0,1);const d=this.volume.getProperty().getRGBTransferFunction(0),c=t.getProperty();i.setProperty(c),s.setProperty(c),c.setRGBTransferFunction(d),c.setScalarOpacity(l);const _=this._vtk_renwin.getRenderer();_.addActor(t),_.addActor(i),_.addActor(s)}_plot_volume(){const e=this.vtk_image_data,t=r.vtkns.Volume.newInstance(),i=r.vtkns.VolumeMapper.newInstance();t.setMapper(i),i.setInputData(e);const s=(e.getPointData().getScalars()||e.getPointData().getArrays()[0]).getRange(),n=r.vtkns.ColorTransferFunction.newInstance();n.onModified(()=>this.model.mapper=r.vtkLutToMapper(n));const o=r.vtkns.PiecewiseFunction.newInstance(),a=.7*Math.sqrt(e.getSpacing().map(e=>e*e).reduce((e,t)=>e+t,0));i.setSampleDistance(a),t.getProperty().setRGBTransferFunction(0,n),t.getProperty().setScalarOpacity(0,o),t.getProperty().setInterpolationTypeToFastLinear(),t.getProperty().setScalarOpacityUnitDistance(0,r.vtkns.BoundingBox.getDiagonalLength(e.getBounds())/Math.max(...e.getDimensions())),t.getProperty().setGradientOpacityMinimumValue(0,0),t.getProperty().setGradientOpacityMaximumValue(0,.05*(s[1]-s[0])),t.getProperty().setShade(this.model.shadow),t.getProperty().setUseGradientOpacity(0,!0),t.getProperty().setGradientOpacityMinimumOpacity(0,0),t.getProperty().setGradientOpacityMaximumOpacity(0,1),t.getProperty().setAmbient(this.model.ambient),t.getProperty().setDiffuse(this.model.diffuse),t.getProperty().setSpecular(this.model.specular),t.getProperty().setSpecularPower(this.model.specular_power),this._vtk_renwin.getRenderer().addVolume(t)}_set_interpolation(e){\"fast_linear\"==e?(this.volume.getProperty().setInterpolationTypeToFastLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):\"linear\"==e?(this.volume.getProperty().setInterpolationTypeToLinear(),this.image_actor_i.getProperty().setInterpolationTypeToLinear()):(this.volume.getProperty().setInterpolationTypeToNearest(),this.image_actor_i.getProperty().setInterpolationTypeToNearest())}_set_slices_visibility(e){this._vtk_renwin.getRenderer().getActors().map(t=>t.setVisibility(e))}_set_volume_visibility(e){this.volume.setVisibility(e)}}i.VTKVolumePlotView=o,o.__name__=\"VTKVolumePlotView\";class a extends n.AbstractVTKPlot{constructor(e){super(e)}static init_VTKVolumePlot(){this.prototype.default_view=o,this.define({ambient:[s.Number,.2],colormap:[s.String],data:[s.Instance],diffuse:[s.Number,.7],display_slices:[s.Boolean,!1],display_volume:[s.Boolean,!0],edge_gradient:[s.Number,.2],interpolation:[s.Any,\"fast_linear\"],mapper:[s.Instance],render_background:[s.String,\"#52576e\"],rescale:[s.Boolean,!1],sampling:[s.Number,.4],shadow:[s.Boolean,!0],slice_i:[s.Int,0],slice_j:[s.Int,0],slice_k:[s.Int,0],specular:[s.Number,.3],specular_power:[s.Number,8],controller_expanded:[s.Boolean,!0]})}}i.VTKVolumePlot=a,a.__name__=\"VTKVolumePlot\",a.init_VTKVolumePlot()},\n      \"3ae7537200\": function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(\"tslib\").__importStar(t(\"@bokehjs/core/properties\")),n=t(\"@bokehjs/model\"),a=t(\"2f3fd5db07\"),c=t(\"6c442cdcb4\");class r extends n.Model{constructor(t){super(t)}static init_VTKAxes(){this.define({origin:[e.Array],xticker:[e.Instance],yticker:[e.Instance],zticker:[e.Instance],digits:[e.Number,1],show_grid:[e.Boolean,!0],grid_opacity:[e.Number,.1],axes_opacity:[e.Number,1],fontsize:[e.Number,12]})}get xticks(){return this.xticker.ticks}get yticks(){return this.yticker.ticks}get zticks(){return this.zticker.ticks}get xlabels(){return this.xticker.labels?this.xticker.labels:this.xticks.map(t=>t.toFixed(this.digits))}get ylabels(){return this.yticker.labels?this.yticker.labels:this.yticks.map(t=>t.toFixed(this.digits))}get zlabels(){return this.zticker.labels?this.zticker.labels:this.zticks.map(t=>t.toFixed(this.digits))}_make_grid_lines(t,s,i){const e=[];for(let n=0;n<t-1;n++)for(let t=0;t<s-1;t++){const a=n*s+t+i,c=[5,a,n*s+t+1+i,(n+1)*s+t+1+i,(n+1)*s+t+i,a];e.push(c)}return e}_create_grid_axes(){const t=[];t.push(c.cartesian_product(this.xticks,this.yticks,[this.origin[2]])),t.push(c.cartesian_product([this.origin[0]],this.yticks,this.zticks)),t.push(c.cartesian_product(this.xticks,[this.origin[1]],this.zticks));const s=[];let i=0;s.push(this._make_grid_lines(this.xticks.length,this.yticks.length,i)),i+=this.xticks.length*this.yticks.length,s.push(this._make_grid_lines(this.yticks.length,this.zticks.length,i)),i+=this.yticks.length*this.zticks.length,s.push(this._make_grid_lines(this.xticks.length,this.zticks.length,i));const e=c.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:t.flat(2)},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:s.flat(2)}}),n=c.vtkns.Mapper.newInstance(),a=c.vtkns.Actor.newInstance();return n.setInputData(e),a.setMapper(n),a.getProperty().setOpacity(this.grid_opacity),a.setVisibility(this.show_grid),a}create_axes(t){const s=[this.xticks,this.yticks,this.zticks].map((t,s)=>{let i=null;switch(s){case 0:i=c.cartesian_product(t,[this.origin[1]],[this.origin[2]]);break;case 1:i=c.cartesian_product([this.origin[0]],t,[this.origin[2]]);break;case 2:i=c.cartesian_product([this.origin[0]],[this.origin[1]],t)}return i}).flat(2),i=c.vtk({vtkClass:\"vtkPolyData\",points:{vtkClass:\"vtkPoints\",dataType:\"Float32Array\",numberOfComponents:3,values:s},lines:{vtkClass:\"vtkCellArray\",dataType:\"Uint32Array\",values:[2,0,this.xticks.length-1,2,this.xticks.length,this.xticks.length+this.yticks.length-1,2,this.xticks.length+this.yticks.length,this.xticks.length+this.yticks.length+this.zticks.length-1]}}),e=c.vtkns.PixelSpaceCallbackMapper.newInstance();e.setInputData(i),e.setUseZValues(!0),e.setCallback((s,i,n)=>{const c=t.getContext(\"2d\");if(c){const r={height:t.clientHeight*window.devicePixelRatio,width:t.clientWidth*window.devicePixelRatio},h=e.getInputData().getPoints(),l=i.getViewMatrix();a.mat4.transpose(l,l);const 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t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=1,t[5]=0,t[6]=a[0],t[7]=a[1],t[8]=1,t},n.fromRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=-n,t[4]=r,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=a[1],t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},n.fromMat2d=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=0,t[3]=a[2],t[4]=a[3],t[5]=0,t[6]=a[4],t[7]=a[5],t[8]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=n+n,i=r+r,c=u+u,s=n*e,M=r*e,h=r*i,f=u*e,b=u*i,l=u*c,m=o*e,v=o*i,E=o*c;return t[0]=1-h-l,t[3]=M-E,t[6]=f+v,t[1]=M+E,t[4]=1-s-l,t[7]=b-m,t[2]=f-v,t[5]=b+m,t[8]=1-s-h,t},n.normalFromMat4=function(t,a){var n=a[0],r=a[1],u=a[2],o=a[3],e=a[4],i=a[5],c=a[6],s=a[7],M=a[8],h=a[9],f=a[10],b=a[11],l=a[12],m=a[13],v=a[14],E=a[15],P=n*i-r*e,S=n*c-u*e,d=n*s-o*e,A=r*c-u*i,x=r*s-o*i,O=u*s-o*c,p=M*m-h*l,I=M*v-f*l,L=M*E-b*l,N=h*v-f*m,R=h*E-b*m,_=f*E-b*v,y=P*_-S*R+d*N+A*L-x*I+O*p;return y?(y=1/y,t[0]=(i*_-c*R+s*N)*y,t[1]=(c*L-e*_-s*I)*y,t[2]=(e*R-i*L+s*p)*y,t[3]=(u*R-r*_-o*N)*y,t[4]=(n*_-u*L+o*I)*y,t[5]=(r*L-n*R-o*p)*y,t[6]=(m*O-v*x+E*A)*y,t[7]=(v*d-l*O-E*S)*y,t[8]=(l*x-m*d+E*P)*y,t):null},n.projection=function(t,a,n){return t[0]=2/a,t[1]=0,t[2]=0,t[3]=0,t[4]=-2/n,t[5]=0,t[6]=-1,t[7]=1,t[8]=1,t},n.str=function(t){return\"mat3(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t},n.subtract=o,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]},n.equals=function(t,a){var n=t[0],u=t[1],o=t[2],e=t[3],i=t[4],c=t[5],s=t[6],M=t[7],h=t[8],f=a[0],b=a[1],l=a[2],m=a[3],v=a[4],E=a[5],P=a[6],S=a[7],d=a[8];return Math.abs(n-f)<=r.EPSILON*Math.max(1,Math.abs(n),Math.abs(f))&&Math.abs(u-b)<=r.EPSILON*Math.max(1,Math.abs(u),Math.abs(b))&&Math.abs(o-l)<=r.EPSILON*Math.max(1,Math.abs(o),Math.abs(l))&&Math.abs(e-m)<=r.EPSILON*Math.max(1,Math.abs(e),Math.abs(m))&&Math.abs(i-v)<=r.EPSILON*Math.max(1,Math.abs(i),Math.abs(v))&&Math.abs(c-E)<=r.EPSILON*Math.max(1,Math.abs(c),Math.abs(E))&&Math.abs(s-P)<=r.EPSILON*Math.max(1,Math.abs(s),Math.abs(P))&&Math.abs(M-S)<=r.EPSILON*Math.max(1,Math.abs(M),Math.abs(S))&&Math.abs(h-d)<=r.EPSILON*Math.max(1,Math.abs(h),Math.abs(d))},n.mul=u,n.sub=o},\n      \"a427635f32\": function _(t,a,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(\"tslib\").__importStar(t(\"68ca94c15c\"));function h(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function o(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],v=a[12],m=a[13],P=a[14],E=a[15],S=n[0],I=n[1],O=n[2],p=n[3];return t[0]=S*r+I*M+O*c+p*v,t[1]=S*h+I*e+O*f+p*m,t[2]=S*o+I*s+O*b+p*P,t[3]=S*u+I*i+O*l+p*E,S=n[4],I=n[5],O=n[6],p=n[7],t[4]=S*r+I*M+O*c+p*v,t[5]=S*h+I*e+O*f+p*m,t[6]=S*o+I*s+O*b+p*P,t[7]=S*u+I*i+O*l+p*E,S=n[8],I=n[9],O=n[10],p=n[11],t[8]=S*r+I*M+O*c+p*v,t[9]=S*h+I*e+O*f+p*m,t[10]=S*o+I*s+O*b+p*P,t[11]=S*u+I*i+O*l+p*E,S=n[12],I=n[13],O=n[14],p=n[15],t[12]=S*r+I*M+O*c+p*v,t[13]=S*h+I*e+O*f+p*m,t[14]=S*o+I*s+O*b+p*P,t[15]=S*u+I*i+O*l+p*E,t}function u(t,a,n){var r=a[0],h=a[1],o=a[2],u=a[3],M=r+r,e=h+h,s=o+o,i=r*M,c=r*e,f=r*s,b=h*e,l=h*s,v=o*s,m=u*M,P=u*e,E=u*s;return t[0]=1-(b+v),t[1]=c+E,t[2]=f-P,t[3]=0,t[4]=c-E,t[5]=1-(i+v),t[6]=l+m,t[7]=0,t[8]=f+P,t[9]=l-m,t[10]=1-(i+b),t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t}function M(t,a){var n=a[0],r=a[1],h=a[2],o=a[4],u=a[5],M=a[6],e=a[8],s=a[9],i=a[10];return t[0]=Math.hypot(n,r,h),t[1]=Math.hypot(o,u,M),t[2]=Math.hypot(e,s,i),t}function e(t,a,n){return t[0]=a[0]-n[0],t[1]=a[1]-n[1],t[2]=a[2]-n[2],t[3]=a[3]-n[3],t[4]=a[4]-n[4],t[5]=a[5]-n[5],t[6]=a[6]-n[6],t[7]=a[7]-n[7],t[8]=a[8]-n[8],t[9]=a[9]-n[9],t[10]=a[10]-n[10],t[11]=a[11]-n[11],t[12]=a[12]-n[12],t[13]=a[13]-n[13],t[14]=a[14]-n[14],t[15]=a[15]-n[15],t}n.create=function(){var t=new r.ARRAY_TYPE(16);return r.ARRAY_TYPE!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},n.clone=function(t){var a=new r.ARRAY_TYPE(16);return a[0]=t[0],a[1]=t[1],a[2]=t[2],a[3]=t[3],a[4]=t[4],a[5]=t[5],a[6]=t[6],a[7]=t[7],a[8]=t[8],a[9]=t[9],a[10]=t[10],a[11]=t[11],a[12]=t[12],a[13]=t[13],a[14]=t[14],a[15]=t[15],a},n.copy=function(t,a){return t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.fromValues=function(t,a,n,h,o,u,M,e,s,i,c,f,b,l,v,m){var P=new r.ARRAY_TYPE(16);return P[0]=t,P[1]=a,P[2]=n,P[3]=h,P[4]=o,P[5]=u,P[6]=M,P[7]=e,P[8]=s,P[9]=i,P[10]=c,P[11]=f,P[12]=b,P[13]=l,P[14]=v,P[15]=m,P},n.set=function(t,a,n,r,h,o,u,M,e,s,i,c,f,b,l,v,m){return t[0]=a,t[1]=n,t[2]=r,t[3]=h,t[4]=o,t[5]=u,t[6]=M,t[7]=e,t[8]=s,t[9]=i,t[10]=c,t[11]=f,t[12]=b,t[13]=l,t[14]=v,t[15]=m,t},n.identity=h,n.transpose=function(t,a){if(t===a){var n=a[1],r=a[2],h=a[3],o=a[6],u=a[7],M=a[11];t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=n,t[6]=a[9],t[7]=a[13],t[8]=r,t[9]=o,t[11]=a[14],t[12]=h,t[13]=u,t[14]=M}else t[0]=a[0],t[1]=a[4],t[2]=a[8],t[3]=a[12],t[4]=a[1],t[5]=a[5],t[6]=a[9],t[7]=a[13],t[8]=a[2],t[9]=a[6],t[10]=a[10],t[11]=a[14],t[12]=a[3],t[13]=a[7],t[14]=a[11],t[15]=a[15];return t},n.invert=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15],E=n*M-r*u,S=n*e-h*u,I=n*s-o*u,O=r*e-h*M,p=r*s-o*M,L=h*s-o*e,N=i*v-c*l,R=i*m-f*l,x=i*P-b*l,y=c*m-f*v,A=c*P-b*v,Y=f*P-b*m,d=E*Y-S*A+I*y+O*x-p*R+L*N;return d?(d=1/d,t[0]=(M*Y-e*A+s*y)*d,t[1]=(h*A-r*Y-o*y)*d,t[2]=(v*L-m*p+P*O)*d,t[3]=(f*p-c*L-b*O)*d,t[4]=(e*x-u*Y-s*R)*d,t[5]=(n*Y-h*x+o*R)*d,t[6]=(m*I-l*L-P*S)*d,t[7]=(i*L-f*I+b*S)*d,t[8]=(u*A-M*x+s*N)*d,t[9]=(r*x-n*A-o*N)*d,t[10]=(l*p-v*I+P*E)*d,t[11]=(c*I-i*p-b*E)*d,t[12]=(M*R-u*y-e*N)*d,t[13]=(n*y-r*R+h*N)*d,t[14]=(v*S-l*O-m*E)*d,t[15]=(i*O-c*S+f*E)*d,t):null},n.adjoint=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=a[4],M=a[5],e=a[6],s=a[7],i=a[8],c=a[9],f=a[10],b=a[11],l=a[12],v=a[13],m=a[14],P=a[15];return t[0]=M*(f*P-b*m)-c*(e*P-s*m)+v*(e*b-s*f),t[1]=-(r*(f*P-b*m)-c*(h*P-o*m)+v*(h*b-o*f)),t[2]=r*(e*P-s*m)-M*(h*P-o*m)+v*(h*s-o*e),t[3]=-(r*(e*b-s*f)-M*(h*b-o*f)+c*(h*s-o*e)),t[4]=-(u*(f*P-b*m)-i*(e*P-s*m)+l*(e*b-s*f)),t[5]=n*(f*P-b*m)-i*(h*P-o*m)+l*(h*b-o*f),t[6]=-(n*(e*P-s*m)-u*(h*P-o*m)+l*(h*s-o*e)),t[7]=n*(e*b-s*f)-u*(h*b-o*f)+i*(h*s-o*e),t[8]=u*(c*P-b*v)-i*(M*P-s*v)+l*(M*b-s*c),t[9]=-(n*(c*P-b*v)-i*(r*P-o*v)+l*(r*b-o*c)),t[10]=n*(M*P-s*v)-u*(r*P-o*v)+l*(r*s-o*M),t[11]=-(n*(M*b-s*c)-u*(r*b-o*c)+i*(r*s-o*M)),t[12]=-(u*(c*m-f*v)-i*(M*m-e*v)+l*(M*f-e*c)),t[13]=n*(c*m-f*v)-i*(r*m-h*v)+l*(r*f-h*c),t[14]=-(n*(M*m-e*v)-u*(r*m-h*v)+l*(r*e-h*M)),t[15]=n*(M*f-e*c)-u*(r*f-h*c)+i*(r*e-h*M),t},n.determinant=function(t){var a=t[0],n=t[1],r=t[2],h=t[3],o=t[4],u=t[5],M=t[6],e=t[7],s=t[8],i=t[9],c=t[10],f=t[11],b=t[12],l=t[13],v=t[14],m=t[15];return(a*u-n*o)*(c*m-f*v)-(a*M-r*o)*(i*m-f*l)+(a*e-h*o)*(i*v-c*l)+(n*M-r*u)*(s*m-f*b)-(n*e-h*u)*(s*v-c*b)+(r*e-h*M)*(s*l-i*b)},n.multiply=o,n.translate=function(t,a,n){var r,h,o,u,M,e,s,i,c,f,b,l,v=n[0],m=n[1],P=n[2];return a===t?(t[12]=a[0]*v+a[4]*m+a[8]*P+a[12],t[13]=a[1]*v+a[5]*m+a[9]*P+a[13],t[14]=a[2]*v+a[6]*m+a[10]*P+a[14],t[15]=a[3]*v+a[7]*m+a[11]*P+a[15]):(r=a[0],h=a[1],o=a[2],u=a[3],M=a[4],e=a[5],s=a[6],i=a[7],c=a[8],f=a[9],b=a[10],l=a[11],t[0]=r,t[1]=h,t[2]=o,t[3]=u,t[4]=M,t[5]=e,t[6]=s,t[7]=i,t[8]=c,t[9]=f,t[10]=b,t[11]=l,t[12]=r*v+M*m+c*P+a[12],t[13]=h*v+e*m+f*P+a[13],t[14]=o*v+s*m+b*P+a[14],t[15]=u*v+i*m+l*P+a[15]),t},n.scale=function(t,a,n){var r=n[0],h=n[1],o=n[2];return t[0]=a[0]*r,t[1]=a[1]*r,t[2]=a[2]*r,t[3]=a[3]*r,t[4]=a[4]*h,t[5]=a[5]*h,t[6]=a[6]*h,t[7]=a[7]*h,t[8]=a[8]*o,t[9]=a[9]*o,t[10]=a[10]*o,t[11]=a[11]*o,t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15],t},n.rotate=function(t,a,n,h){var o,u,M,e,s,i,c,f,b,l,v,m,P,E,S,I,O,p,L,N,R,x,y,A,Y=h[0],d=h[1],g=h[2],T=Math.hypot(Y,d,g);return T<r.EPSILON?null:(Y*=T=1/T,d*=T,g*=T,o=Math.sin(n),M=1-(u=Math.cos(n)),e=a[0],s=a[1],i=a[2],c=a[3],f=a[4],b=a[5],l=a[6],v=a[7],m=a[8],P=a[9],E=a[10],S=a[11],I=Y*Y*M+u,O=d*Y*M+g*o,p=g*Y*M-d*o,L=Y*d*M-g*o,N=d*d*M+u,R=g*d*M+Y*o,x=Y*g*M+d*o,y=d*g*M-Y*o,A=g*g*M+u,t[0]=e*I+f*O+m*p,t[1]=s*I+b*O+P*p,t[2]=i*I+l*O+E*p,t[3]=c*I+v*O+S*p,t[4]=e*L+f*N+m*R,t[5]=s*L+b*N+P*R,t[6]=i*L+l*N+E*R,t[7]=c*L+v*N+S*R,t[8]=e*x+f*y+m*A,t[9]=s*x+b*y+P*A,t[10]=i*x+l*y+E*A,t[11]=c*x+v*y+S*A,a!==t&&(t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t)},n.rotateX=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[4],u=a[5],M=a[6],e=a[7],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[0]=a[0],t[1]=a[1],t[2]=a[2],t[3]=a[3],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[4]=o*h+s*r,t[5]=u*h+i*r,t[6]=M*h+c*r,t[7]=e*h+f*r,t[8]=s*h-o*r,t[9]=i*h-u*r,t[10]=c*h-M*r,t[11]=f*h-e*r,t},n.rotateY=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[8],i=a[9],c=a[10],f=a[11];return a!==t&&(t[4]=a[4],t[5]=a[5],t[6]=a[6],t[7]=a[7],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h-s*r,t[1]=u*h-i*r,t[2]=M*h-c*r,t[3]=e*h-f*r,t[8]=o*r+s*h,t[9]=u*r+i*h,t[10]=M*r+c*h,t[11]=e*r+f*h,t},n.rotateZ=function(t,a,n){var r=Math.sin(n),h=Math.cos(n),o=a[0],u=a[1],M=a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7];return a!==t&&(t[8]=a[8],t[9]=a[9],t[10]=a[10],t[11]=a[11],t[12]=a[12],t[13]=a[13],t[14]=a[14],t[15]=a[15]),t[0]=o*h+s*r,t[1]=u*h+i*r,t[2]=M*h+c*r,t[3]=e*h+f*r,t[4]=s*h-o*r,t[5]=i*h-u*r,t[6]=c*h-M*r,t[7]=f*h-e*r,t},n.fromTranslation=function(t,a){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=a[0],t[13]=a[1],t[14]=a[2],t[15]=1,t},n.fromScaling=function(t,a){return t[0]=a[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=a[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotation=function(t,a,n){var h,o,u,M=n[0],e=n[1],s=n[2],i=Math.hypot(M,e,s);return i<r.EPSILON?null:(M*=i=1/i,e*=i,s*=i,h=Math.sin(a),u=1-(o=Math.cos(a)),t[0]=M*M*u+o,t[1]=e*M*u+s*h,t[2]=s*M*u-e*h,t[3]=0,t[4]=M*e*u-s*h,t[5]=e*e*u+o,t[6]=s*e*u+M*h,t[7]=0,t[8]=M*s*u+e*h,t[9]=e*s*u-M*h,t[10]=s*s*u+o,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t)},n.fromXRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=r,t[6]=n,t[7]=0,t[8]=0,t[9]=-n,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromYRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=0,t[2]=-n,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=n,t[9]=0,t[10]=r,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromZRotation=function(t,a){var n=Math.sin(a),r=Math.cos(a);return t[0]=r,t[1]=n,t[2]=0,t[3]=0,t[4]=-n,t[5]=r,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.fromRotationTranslation=u,n.fromQuat2=function(t,a){var n=new r.ARRAY_TYPE(3),h=-a[0],o=-a[1],M=-a[2],e=a[3],s=a[4],i=a[5],c=a[6],f=a[7],b=h*h+o*o+M*M+e*e;return b>0?(n[0]=2*(s*e+f*h+i*M-c*o)/b,n[1]=2*(i*e+f*o+c*h-s*M)/b,n[2]=2*(c*e+f*M+s*o-i*h)/b):(n[0]=2*(s*e+f*h+i*M-c*o),n[1]=2*(i*e+f*o+c*h-s*M),n[2]=2*(c*e+f*M+s*o-i*h)),u(t,a,n),t},n.getTranslation=function(t,a){return t[0]=a[12],t[1]=a[13],t[2]=a[14],t},n.getScaling=M,n.getRotation=function(t,a){var n=new r.ARRAY_TYPE(3);M(n,a);var h=1/n[0],o=1/n[1],u=1/n[2],e=a[0]*h,s=a[1]*o,i=a[2]*u,c=a[4]*h,f=a[5]*o,b=a[6]*u,l=a[8]*h,v=a[9]*o,m=a[10]*u,P=e+f+m,E=0;return P>0?(E=2*Math.sqrt(P+1),t[3]=.25*E,t[0]=(b-v)/E,t[1]=(l-i)/E,t[2]=(s-c)/E):e>f&&e>m?(E=2*Math.sqrt(1+e-f-m),t[3]=(b-v)/E,t[0]=.25*E,t[1]=(s+c)/E,t[2]=(l+i)/E):f>m?(E=2*Math.sqrt(1+f-e-m),t[3]=(l-i)/E,t[0]=(s+c)/E,t[1]=.25*E,t[2]=(b+v)/E):(E=2*Math.sqrt(1+m-e-f),t[3]=(s-c)/E,t[0]=(l+i)/E,t[1]=(b+v)/E,t[2]=.25*E),t},n.fromRotationTranslationScale=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=a[3],e=h+h,s=o+o,i=u+u,c=h*e,f=h*s,b=h*i,l=o*s,v=o*i,m=u*i,P=M*e,E=M*s,S=M*i,I=r[0],O=r[1],p=r[2];return t[0]=(1-(l+m))*I,t[1]=(f+S)*I,t[2]=(b-E)*I,t[3]=0,t[4]=(f-S)*O,t[5]=(1-(c+m))*O,t[6]=(v+P)*O,t[7]=0,t[8]=(b+E)*p,t[9]=(v-P)*p,t[10]=(1-(c+l))*p,t[11]=0,t[12]=n[0],t[13]=n[1],t[14]=n[2],t[15]=1,t},n.fromRotationTranslationScaleOrigin=function(t,a,n,r,h){var o=a[0],u=a[1],M=a[2],e=a[3],s=o+o,i=u+u,c=M+M,f=o*s,b=o*i,l=o*c,v=u*i,m=u*c,P=M*c,E=e*s,S=e*i,I=e*c,O=r[0],p=r[1],L=r[2],N=h[0],R=h[1],x=h[2],y=(1-(v+P))*O,A=(b+I)*O,Y=(l-S)*O,d=(b-I)*p,g=(1-(f+P))*p,T=(m+E)*p,_=(l+S)*L,q=(m-E)*L,w=(1-(f+v))*L;return t[0]=y,t[1]=A,t[2]=Y,t[3]=0,t[4]=d,t[5]=g,t[6]=T,t[7]=0,t[8]=_,t[9]=q,t[10]=w,t[11]=0,t[12]=n[0]+N-(y*N+d*R+_*x),t[13]=n[1]+R-(A*N+g*R+q*x),t[14]=n[2]+x-(Y*N+T*R+w*x),t[15]=1,t},n.fromQuat=function(t,a){var n=a[0],r=a[1],h=a[2],o=a[3],u=n+n,M=r+r,e=h+h,s=n*u,i=r*u,c=r*M,f=h*u,b=h*M,l=h*e,v=o*u,m=o*M,P=o*e;return t[0]=1-c-l,t[1]=i+P,t[2]=f-m,t[3]=0,t[4]=i-P,t[5]=1-s-l,t[6]=b+v,t[7]=0,t[8]=f+m,t[9]=b-v,t[10]=1-s-c,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t},n.frustum=function(t,a,n,r,h,o,u){var M=1/(n-a),e=1/(h-r),s=1/(o-u);return t[0]=2*o*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*o*e,t[6]=0,t[7]=0,t[8]=(n+a)*M,t[9]=(h+r)*e,t[10]=(u+o)*s,t[11]=-1,t[12]=0,t[13]=0,t[14]=u*o*2*s,t[15]=0,t},n.perspective=function(t,a,n,r,h){var o,u=1/Math.tan(a/2);return t[0]=u/n,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=u,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=h&&h!==1/0?(o=1/(r-h),t[10]=(h+r)*o,t[14]=2*h*r*o):(t[10]=-1,t[14]=-2*r),t},n.perspectiveFromFieldOfView=function(t,a,n,r){var h=Math.tan(a.upDegrees*Math.PI/180),o=Math.tan(a.downDegrees*Math.PI/180),u=Math.tan(a.leftDegrees*Math.PI/180),M=Math.tan(a.rightDegrees*Math.PI/180),e=2/(u+M),s=2/(h+o);return t[0]=e,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=s,t[6]=0,t[7]=0,t[8]=-(u-M)*e*.5,t[9]=(h-o)*s*.5,t[10]=r/(n-r),t[11]=-1,t[12]=0,t[13]=0,t[14]=r*n/(n-r),t[15]=0,t},n.ortho=function(t,a,n,r,h,o,u){var M=1/(a-n),e=1/(r-h),s=1/(o-u);return t[0]=-2*M,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*e,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*s,t[11]=0,t[12]=(a+n)*M,t[13]=(h+r)*e,t[14]=(u+o)*s,t[15]=1,t},n.lookAt=function(t,a,n,o){var u,M,e,s,i,c,f,b,l,v,m=a[0],P=a[1],E=a[2],S=o[0],I=o[1],O=o[2],p=n[0],L=n[1],N=n[2];return Math.abs(m-p)<r.EPSILON&&Math.abs(P-L)<r.EPSILON&&Math.abs(E-N)<r.EPSILON?h(t):(f=m-p,b=P-L,l=E-N,u=I*(l*=v=1/Math.hypot(f,b,l))-O*(b*=v),M=O*(f*=v)-S*l,e=S*b-I*f,(v=Math.hypot(u,M,e))?(u*=v=1/v,M*=v,e*=v):(u=0,M=0,e=0),s=b*e-l*M,i=l*u-f*e,c=f*M-b*u,(v=Math.hypot(s,i,c))?(s*=v=1/v,i*=v,c*=v):(s=0,i=0,c=0),t[0]=u,t[1]=s,t[2]=f,t[3]=0,t[4]=M,t[5]=i,t[6]=b,t[7]=0,t[8]=e,t[9]=c,t[10]=l,t[11]=0,t[12]=-(u*m+M*P+e*E),t[13]=-(s*m+i*P+c*E),t[14]=-(f*m+b*P+l*E),t[15]=1,t)},n.targetTo=function(t,a,n,r){var h=a[0],o=a[1],u=a[2],M=r[0],e=r[1],s=r[2],i=h-n[0],c=o-n[1],f=u-n[2],b=i*i+c*c+f*f;b>0&&(i*=b=1/Math.sqrt(b),c*=b,f*=b);var l=e*f-s*c,v=s*i-M*f,m=M*c-e*i;return(b=l*l+v*v+m*m)>0&&(l*=b=1/Math.sqrt(b),v*=b,m*=b),t[0]=l,t[1]=v,t[2]=m,t[3]=0,t[4]=c*m-f*v,t[5]=f*l-i*m,t[6]=i*v-c*l,t[7]=0,t[8]=i,t[9]=c,t[10]=f,t[11]=0,t[12]=h,t[13]=o,t[14]=u,t[15]=1,t},n.str=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"},n.frob=function(t){return Math.hypot(t[0],t[1],t[2],t[3],t[4],t[5],t[6],t[7],t[8],t[9],t[10],t[11],t[12],t[13],t[14],t[15])},n.add=function(t,a,n){return t[0]=a[0]+n[0],t[1]=a[1]+n[1],t[2]=a[2]+n[2],t[3]=a[3]+n[3],t[4]=a[4]+n[4],t[5]=a[5]+n[5],t[6]=a[6]+n[6],t[7]=a[7]+n[7],t[8]=a[8]+n[8],t[9]=a[9]+n[9],t[10]=a[10]+n[10],t[11]=a[11]+n[11],t[12]=a[12]+n[12],t[13]=a[13]+n[13],t[14]=a[14]+n[14],t[15]=a[15]+n[15],t},n.subtract=e,n.multiplyScalar=function(t,a,n){return t[0]=a[0]*n,t[1]=a[1]*n,t[2]=a[2]*n,t[3]=a[3]*n,t[4]=a[4]*n,t[5]=a[5]*n,t[6]=a[6]*n,t[7]=a[7]*n,t[8]=a[8]*n,t[9]=a[9]*n,t[10]=a[10]*n,t[11]=a[11]*n,t[12]=a[12]*n,t[13]=a[13]*n,t[14]=a[14]*n,t[15]=a[15]*n,t},n.multiplyScalarAndAdd=function(t,a,n,r){return t[0]=a[0]+n[0]*r,t[1]=a[1]+n[1]*r,t[2]=a[2]+n[2]*r,t[3]=a[3]+n[3]*r,t[4]=a[4]+n[4]*r,t[5]=a[5]+n[5]*r,t[6]=a[6]+n[6]*r,t[7]=a[7]+n[7]*r,t[8]=a[8]+n[8]*r,t[9]=a[9]+n[9]*r,t[10]=a[10]+n[10]*r,t[11]=a[11]+n[11]*r,t[12]=a[12]+n[12]*r,t[13]=a[13]+n[13]*r,t[14]=a[14]+n[14]*r,t[15]=a[15]+n[15]*r,t},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]&&t[8]===a[8]&&t[9]===a[9]&&t[10]===a[10]&&t[11]===a[11]&&t[12]===a[12]&&t[13]===a[13]&&t[14]===a[14]&&t[15]===a[15]},n.equals=function(t,a){var n=t[0],h=t[1],o=t[2],u=t[3],M=t[4],e=t[5],s=t[6],i=t[7],c=t[8],f=t[9],b=t[10],l=t[11],v=t[12],m=t[13],P=t[14],E=t[15],S=a[0],I=a[1],O=a[2],p=a[3],L=a[4],N=a[5],R=a[6],x=a[7],y=a[8],A=a[9],Y=a[10],d=a[11],g=a[12],T=a[13],_=a[14],q=a[15];return 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t[0]=n[0]+r[0]*a,t[1]=n[1]+r[1]*a,t[2]=n[2]+r[2]*a,t[3]=n[3]+r[3]*a,t},r.distance=c,r.squaredDistance=h,r.length=M,r.squaredLength=f,r.negate=function(t,n){return t[0]=-n[0],t[1]=-n[1],t[2]=-n[2],t[3]=-n[3],t},r.inverse=function(t,n){return t[0]=1/n[0],t[1]=1/n[1],t[2]=1/n[2],t[3]=1/n[3],t},r.normalize=function(t,n){var r=n[0],a=n[1],u=n[2],e=n[3],o=r*r+a*a+u*u+e*e;return o>0&&(o=1/Math.sqrt(o)),t[0]=r*o,t[1]=a*o,t[2]=u*o,t[3]=e*o,t},r.dot=function(t,n){return t[0]*n[0]+t[1]*n[1]+t[2]*n[2]+t[3]*n[3]},r.cross=function(t,n,r,a){var u=r[0]*a[1]-r[1]*a[0],e=r[0]*a[2]-r[2]*a[0],o=r[0]*a[3]-r[3]*a[0],i=r[1]*a[2]-r[2]*a[1],c=r[1]*a[3]-r[3]*a[1],h=r[2]*a[3]-r[3]*a[2],M=n[0],f=n[1],s=n[2],l=n[3];return t[0]=f*h-s*c+l*i,t[1]=-M*h+s*o-l*e,t[2]=M*c-f*o+l*u,t[3]=-M*i+f*e-s*u,t},r.lerp=function(t,n,r,a){var u=n[0],e=n[1],o=n[2],i=n[3];return t[0]=u+a*(r[0]-u),t[1]=e+a*(r[1]-e),t[2]=o+a*(r[2]-o),t[3]=i+a*(r[3]-i),t},r.random=function(t,n){var r,u,e,o,i,c;n=n||1;do{i=(r=2*a.RANDOM()-1)*r+(u=2*a.RANDOM()-1)*u}while(i>=1);do{c=(e=2*a.RANDOM()-1)*e+(o=2*a.RANDOM()-1)*o}while(c>=1);var h=Math.sqrt((1-i)/c);return t[0]=n*r,t[1]=n*u,t[2]=n*e*h,t[3]=n*o*h,t},r.transformMat4=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=n[3];return t[0]=r[0]*a+r[4]*u+r[8]*e+r[12]*o,t[1]=r[1]*a+r[5]*u+r[9]*e+r[13]*o,t[2]=r[2]*a+r[6]*u+r[10]*e+r[14]*o,t[3]=r[3]*a+r[7]*u+r[11]*e+r[15]*o,t},r.transformQuat=function(t,n,r){var a=n[0],u=n[1],e=n[2],o=r[0],i=r[1],c=r[2],h=r[3],M=h*a+i*e-c*u,f=h*u+c*a-o*e,s=h*e+o*u-i*a,l=-o*a-i*u-c*e;return t[0]=M*h+l*-o+f*-c-s*-i,t[1]=f*h+l*-i+s*-o-M*-c,t[2]=s*h+l*-c+M*-i-f*-o,t[3]=n[3],t},r.zero=function(t){return t[0]=0,t[1]=0,t[2]=0,t[3]=0,t},r.str=function(t){return\"vec4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\")\"},r.exactEquals=function(t,n){return t[0]===n[0]&&t[1]===n[1]&&t[2]===n[2]&&t[3]===n[3]},r.equals=function(t,n){var r=t[0],u=t[1],e=t[2],o=t[3],i=n[0],c=n[1],h=n[2],M=n[3];return 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r=-a[0],e=-a[1],o=-a[2],i=a[3],s=a[4],c=a[5],h=a[6],f=a[7],M=s*i+f*r+c*o-h*e,l=c*i+f*e+h*r-s*o,b=h*i+f*o+s*e-c*r,v=f*i-s*r-c*e-h*o;return u.rotateZ(t,a,n),r=t[0],e=t[1],o=t[2],i=t[3],t[4]=M*i+v*r+l*o-b*e,t[5]=l*i+v*e+b*r-M*o,t[6]=b*i+v*o+M*e-l*r,t[7]=v*i-M*r-l*e-b*o,t},n.rotateByQuatAppend=function(t,a,n){var r=n[0],e=n[1],u=n[2],o=n[3],i=a[0],s=a[1],c=a[2],h=a[3];return t[0]=i*o+h*r+s*u-c*e,t[1]=s*o+h*e+c*r-i*u,t[2]=c*o+h*u+i*e-s*r,t[3]=h*o-i*r-s*e-c*u,i=a[4],s=a[5],c=a[6],h=a[7],t[4]=i*o+h*r+s*u-c*e,t[5]=s*o+h*e+c*r-i*u,t[6]=c*o+h*u+i*e-s*r,t[7]=h*o-i*r-s*e-c*u,t},n.rotateByQuatPrepend=function(t,a,n){var r=a[0],e=a[1],u=a[2],o=a[3],i=n[0],s=n[1],c=n[2],h=n[3];return t[0]=r*h+o*i+e*c-u*s,t[1]=e*h+o*s+u*i-r*c,t[2]=u*h+o*c+r*s-e*i,t[3]=o*h-r*i-e*s-u*c,i=n[4],s=n[5],c=n[6],h=n[7],t[4]=r*h+o*i+e*c-u*s,t[5]=e*h+o*s+u*i-r*c,t[6]=u*h+o*c+r*s-e*i,t[7]=o*h-r*i-e*s-u*c,t},n.rotateAroundAxis=function(t,a,n,r){if(Math.abs(r)<e.EPSILON)return s(t,a);var u=Math.hypot(n[0],n[1],n[2]);r*=.5;var 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t[0]=-a[0]/r,t[1]=-a[1]/r,t[2]=-a[2]/r,t[3]=a[3]/r,t[4]=-a[4]/r,t[5]=-a[5]/r,t[6]=-a[6]/r,t[7]=a[7]/r,t},n.conjugate=function(t,a){return t[0]=-a[0],t[1]=-a[1],t[2]=-a[2],t[3]=a[3],t[4]=-a[4],t[5]=-a[5],t[6]=-a[6],t[7]=a[7],t},n.length=u.length,n.len=n.length,n.squaredLength=u.squaredLength,n.sqrLen=n.squaredLength,n.normalize=function(t,a){var r=n.squaredLength(a);if(r>0){r=Math.sqrt(r);var e=a[0]/r,u=a[1]/r,o=a[2]/r,i=a[3]/r,s=a[4],c=a[5],h=a[6],f=a[7],M=e*s+u*c+o*h+i*f;t[0]=e,t[1]=u,t[2]=o,t[3]=i,t[4]=(s-e*M)/r,t[5]=(c-u*M)/r,t[6]=(h-o*M)/r,t[7]=(f-i*M)/r}return t},n.str=function(t){return\"quat2(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\")\"},n.exactEquals=function(t,a){return t[0]===a[0]&&t[1]===a[1]&&t[2]===a[2]&&t[3]===a[3]&&t[4]===a[4]&&t[5]===a[5]&&t[6]===a[6]&&t[7]===a[7]},n.equals=function(t,a){var n=t[0],r=t[1],u=t[2],o=t[3],i=t[4],s=t[5],c=t[6],h=t[7],f=a[0],M=a[1],l=a[2],b=a[3],v=a[4],m=a[5],R=a[6],P=a[7];return 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a=t[0],u=t[1];return n[0]=r[0]*a+r[4]*u+r[12],n[1]=r[1]*a+r[5]*u+r[13],n},r.rotate=function(n,t,r,a){var u=t[0]-r[0],e=t[1]-r[1],o=Math.sin(a),c=Math.cos(a);return n[0]=u*c-e*o+r[0],n[1]=u*o+e*c+r[1],n},r.angle=function(n,t){var r=n[0],a=n[1],u=t[0],e=t[1],o=Math.sqrt(r*r+a*a)*Math.sqrt(u*u+e*e),c=o&&(r*u+a*e)/o;return Math.acos(Math.min(Math.max(c,-1),1))},r.zero=function(n){return n[0]=0,n[1]=0,n},r.str=function(n){return\"vec2(\"+n[0]+\", \"+n[1]+\")\"},r.exactEquals=function(n,t){return n[0]===t[0]&&n[1]===t[1]},r.equals=function(n,t){var r=n[0],u=n[1],e=t[0],o=t[1];return Math.abs(r-e)<=a.EPSILON*Math.max(1,Math.abs(r),Math.abs(e))&&Math.abs(u-o)<=a.EPSILON*Math.max(1,Math.abs(u),Math.abs(o))},r.len=s,r.sub=e,r.mul=o,r.div=c,r.dist=i,r.sqrDist=f,r.sqrLen=h,r.forEach=(M=u(),function(n,t,r,a,u,e){var o,c;for(t||(t=2),r||(r=0),c=a?Math.min(a*t+r,n.length):n.length,o=r;o<c;o+=t)M[0]=n[o],M[1]=n[o+1],u(M,M,e),n[o]=M[0],n[o+1]=M[1];return n})},\n      \"4baab0b7ce\": function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(\"tslib\").__importStar(e(\"@bokehjs/core/properties\")),r=e(\"@bokehjs/core/util/object\"),i=e(\"021b2a3929\"),o=e(\"6c442cdcb4\"),_=e(\"11e0707a8f\");class a extends i.AbstractVTKView{initialize(){super.initialize(),this._promises=[],this._renderable=!1,this._arrays={},this._decoded_arrays={},this._pending_arrays={},this.getArray=e=>this._arrays[e]?Promise.resolve(this._arrays[e]):new Promise((t,n)=>{this._pending_arrays[e]={resolve:t,reject:n}}),this.registerArray=(e,t)=>(this._arrays[e]=t,this._pending_arrays[e]&&this._pending_arrays[e].resolve(t),!0),this._synchronizer_context=o.vtkns.SynchronizableRenderWindow.getSynchronizerContext(\"panel\")}connect_signals(){super.connect_signals(),this.connect(this.model.properties.arrays.change,()=>this._decode_arrays()),this.connect(this.model.properties.scene.change,()=>{if(this.model.rebuild)this._vtk_renwin=null,this.invalidate_render();else{const e=r.clone(this.model.scene);Promise.all(this._promises).then(()=>{this._sync_plot(e,()=>{this._on_scene_ready()})})}}),this.connect(this.model.properties.one_time_reset.change,()=>{this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters()})}init_vtk_renwin(){this._vtk_renwin=_.FullScreenRenderWindowSynchronized.newInstance({rootContainer:this.el,container:this._vtk_container,synchronizerContext:this._synchronizer_context})}plot(){this._vtk_renwin.getRenderWindow().clearOneTimeUpdaters(),this._decode_arrays();const e=r.clone(this.model.scene);Promise.all(this._promises).then(()=>{this._sync_plot(e,()=>this._on_scene_ready()).then(()=>{this._set_camera_state(),this._get_camera_state()})})}_decode_arrays(){const e=new o.vtkns.ThirdParty.JSZip,t=this.model.arrays,n=this.registerArray,s=this.model.arrays_processed,r=this.model;Object.keys(t).forEach(i=>{this._decoded_arrays[i]||(this._decoded_arrays[i]=!0,this._promises.push(function(i){return e.loadAsync(atob(t[i])).then(e=>e.file(\"data/\"+i)).then(e=>e.async(\"arraybuffer\")).then(e=>n(i,e)).then(()=>{s.push(i),r.properties.arrays_processed.change.emit()})}(i)))})}_on_scene_ready(){this._promises.length>0||(this._renderable=!0,this._camera_callbacks.push(this._vtk_renwin.getRenderer().getActiveCamera().onModified(()=>this._vtk_render())),this._orientationWidget||this._create_orientation_widget(),this._axes||this._set_axes(),this._vtk_renwin.resize(),this._vtk_render())}_sync_plot(e,t){this._renderable=!1,this._promises=[],this._unsubscribe_camera_cb(),this._synchronizer_context.setFetchArrayFunction(e=>Promise.resolve(this._arrays[e]));const n=this._synchronizer_context.getInstance(this.model.scene.dependencies[0].id);return n&&!this._vtk_renwin.getRenderer()&&this._vtk_renwin.getRenderWindow().addRenderer(n),this._vtk_renwin.getRenderWindow().synchronize(e).then(t)}}n.VTKSynchronizedPlotView=a,a.__name__=\"VTKSynchronizedPlotView\";class h extends i.AbstractVTKPlot{constructor(e){super(e),this.outline=o.vtkns.OutlineFilter.newInstance();const t=o.vtkns.Mapper.newInstance();t.setInputConnection(this.outline.getOutputPort()),this.outline_actor=o.vtkns.Actor.newInstance(),this.outline_actor.setMapper(t)}getActors(e){let t=this.renderer_el.getRenderer().getActors();if(e){const n=this.renderer_el.getSynchronizerContext(\"panel\");t=t.filter(t=>{const s=n.getInstanceId(t);return!!s&&s.slice(-16)==e.slice(1,17)})}return t}static init_VTKSynchronizedPlot(){this.prototype.default_view=a,this.define({arrays:[s.Any,{}],arrays_processed:[s.Array,[]],enable_keybindings:[s.Boolean,!1],one_time_reset:[s.Boolean],rebuild:[s.Boolean,!1],scene:[s.Any,{}]}),this.override({height:300,width:300})}}n.VTKSynchronizedPlot=h,h.__name__=\"VTKSynchronizedPlot\",h.__module__=\"panel.models.vtk\",h.init_VTKSynchronizedPlot()},\n      \"11e0707a8f\": function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(\"6c442cdcb4\");if(t.vtk){const e={containerStyle:null,controlPanelStyle:null,listenWindowResize:!0,resizeCallback:null,controllerVisibility:!0,synchronizerContextName:\"default\"},n={position:\"absolute\",left:\"25px\",top:\"25px\",backgroundColor:\"white\",borderRadius:\"5px\",listStyle:\"none\",padding:\"5px 10px\",margin:\"0\",display:\"block\",border:\"solid 1px black\",maxWidth:\"calc(100vw - 70px)\",maxHeight:\"calc(100vh - 60px)\",overflow:\"auto\"};o.FullScreenRenderWindowSynchronized={newInstance:t.vtk.macro.newInstance((o,r,i={})=>{Object.assign(r,e,i),t.vtk.macro.obj(o,r),t.vtk.macro.get(o,r,[\"renderWindow\",\"openGLRenderWindow\",\"interactor\",\"rootContainer\",\"container\",\"controlContainer\",\"synchronizerContext\"]),function(e,o){o.renderWindow=t.vtkns.SynchronizableRenderWindow.newInstance({synchronizerContext:o.synchronizerContext}),o.openGLRenderWindow=t.vtkns.OpenGLRenderWindow.newInstance(),o.openGLRenderWindow.setContainer(o.container),o.renderWindow.addView(o.openGLRenderWindow),o.interactor=t.vtkns.RenderWindowInteractor.newInstance(),o.interactor.setInteractorStyle(t.vtkns.InteractorStyleTrackballCamera.newInstance()),o.interactor.setView(o.openGLRenderWindow),o.interactor.initialize(),o.interactor.bindEvents(o.container),e.getRenderer=()=>o.renderWindow.getRenderers()[0],e.removeController=()=>{const e=o.controlContainer;e&&e.parentNode.removeChild(e)},e.setControllerVisibility=e=>{o.controllerVisibility=e,o.controlContainer&&(o.controlContainer.style.display=e?\"block\":\"none\")},e.toggleControllerVisibility=()=>{e.setControllerVisibility(!o.controllerVisibility)},e.addController=r=>{o.controlContainer=document.createElement(\"div\"),t.applyStyle(o.controlContainer,o.controlPanelStyle||n),o.rootContainer.appendChild(o.controlContainer),o.controlContainer.innerHTML=r,e.setControllerVisibility(o.controllerVisibility),o.rootContainer.addEventListener(\"keypress\",n=>{\"c\"===String.fromCharCode(n.charCode)&&e.toggleControllerVisibility()})},e.delete=t.vtk.macro.chain(e.setContainer,o.openGLRenderWindow.delete,e.delete),e.resize=()=>{const e=o.container.getBoundingClientRect(),n=window.devicePixelRatio||1;o.openGLRenderWindow.setSize(Math.floor(e.width*n),Math.floor(e.height*n)),o.resizeCallback&&o.resizeCallback(e),o.renderWindow.render()},e.setResizeCallback=n=>{o.resizeCallback=n,e.resize()},o.listenWindowResize&&window.addEventListener(\"resize\",e.resize),e.resize()}(o,r)})}}},\n      }, \"4e90918c0a\", {\"index\":\"4e90918c0a\",\"models/index\":\"c4b9651916\",\"models/ace\":\"abb1112c2c\",\"models/layout\":\"7116a7a602\",\"models/audio\":\"66d52165db\",\"models/card\":\"d9037fe5f1\",\"models/comm_manager\":\"684c940c17\",\"models/deckgl\":\"d0d2aafca0\",\"models/tooltips\":\"064eac2866\",\"models/echarts\":\"c6decbe3f5\",\"models/html\":\"ed08037ce5\",\"models/ipywidget\":\"cb7ac8d1fa\",\"models/json\":\"284504a0cf\",\"models/file_download\":\"2caf092f2b\",\"models/katex\":\"7b859fb3cf\",\"models/location\":\"aded270681\",\"models/mathjax\":\"0c21036737\",\"models/player\":\"79c41bbf71\",\"models/plotly\":\"47b5ae5c43\",\"models/util\":\"990b5dd5c7\",\"models/progress\":\"765e9cea08\",\"models/singleselect\":\"ff9dd91f7b\",\"models/state\":\"38b2bc9574\",\"models/vega\":\"294adeb985\",\"models/video\":\"b0c3e9e9c2\",\"models/videostream\":\"3c7145a2fa\",\"models/vtk/index\":\"c51f25e2a7\",\"models/vtk/vtkjs\":\"6ed30646d7\",\"models/vtk/vtklayout\":\"021b2a3929\",\"models/vtk/util\":\"6c442cdcb4\",\"models/vtk/vtkcolorbar\":\"c010237f8b\",\"models/vtk/vtkvolume\":\"087f1e0be6\",\"models/vtk/vtkaxes\":\"3ae7537200\",\"models/vtk/vtksynchronized\":\"4baab0b7ce\",\"models/vtk/panel_fullscreen_renwin_sync\":\"11e0707a8f\"}, {});\n      })\n\n\n      /* END panel.min.js */\n    },\n    function(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "\n",
       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
       "      if (comm_id in window.PyViz.comms) {\n",
       "        return window.PyViz.comms[comm_id];\n",
       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
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       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
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       "          if (msg_handler) {\n",
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       "            function processIteratorResult(result) {\n",
       "              var message = result.value;\n",
       "              var content = {data: message.data};\n",
       "              var metadata = message.metadata || {comm_id};\n",
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       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
       "          return comm_promise.then((comm) => {\n",
       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
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       "        };\n",
       "        var comm = {\n",
       "          send: sendClosure\n",
       "        };\n",
       "      }\n",
       "      window.PyViz.comms[comm_id] = comm;\n",
       "      return comm;\n",
       "    }\n",
       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
       "    \n",
       "\n",
       "\n",
       "var JS_MIME_TYPE = 'application/javascript';\n",
       "var HTML_MIME_TYPE = 'text/html';\n",
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       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
       "    for (var i in nodelist) {\n",
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       "    output_area._hv_plot_id = id;\n",
       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
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       "    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",
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       "  var id = handle.cell.output_area._hv_plot_id;\n",
       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
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       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
       "  if (server_id !== null) {\n",
       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
       "    return;\n",
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       "    comm.send({event_type: 'delete', 'id': id});\n",
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       "  delete PyViz.plot_index[id];\n",
       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
       "    var doc = window.Bokeh.index[id].model.document\n",
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       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
       "  window.PyViz.plot_index = {}\n",
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       "\n",
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       "    metadata,\n",
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       "    );\n",
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       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
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       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
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       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
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Application\",\"version\":\"2.2.3\"}};\n",
       "    var render_items = [{\"docid\":\"3f4bde29-6e81-43ce-b711-3d79953e9e4f\",\"root_ids\":[\"1299\"],\"roots\":{\"1299\":\"bb11f209-554a-42af-914c-94fae9942fbc\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       ":DynamicMap   []\n",
       "   :RGB   [x,y]   (R,G,B,A)"
      ]
     },
     "execution_count": 37,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1299"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datashader\n",
    "import bokeh.plotting\n",
    "from bokeh.palettes import Colorblind7 as palette\n",
    "from datashader.colors import inferno, viridis\n",
    "%config InlineBackend.figure_format='retina'\n",
    "bokeh.plotting.output_notebook()\n",
    "\n",
    "x_range=[0,10]\n",
    "y_range=[-0.5,1.5]\n",
    "\n",
    "data=np.loadtxt(\"C-800-coordN\").T\n",
    "print(data.shape)\n",
    "\n",
    "df=pd.DataFrame(dict(x=data[0,1000:],y=data[1,1000:]))\n",
    "\n",
    "canvas = datashader.Canvas(x_range=x_range, y_range=y_range, \n",
    "                           plot_height=1000, plot_width=1000)\n",
    "agg = canvas.line(df, 'x', 'y', datashader.count())\n",
    "#img = datashader.transfer_functions.shade(agg,cmap=viridis,how='log')\n",
    "#img = datashader.transfer_functions.shade(agg,cmap=inferno,how='eq_hist')\n",
    "img = datashader.transfer_functions.shade(agg,cmap=viridis,how='eq_hist')\n",
    "#img = datashader.transfer_functions.shade(agg, how='eq_hist')\n",
    "img\n",
    "import holoviews as hv\n",
    "from holoviews.operation.datashader import datashade, dynspread\n",
    "hv.extension('bokeh')\n",
    "#dynspread(datashade(hv.Path(df),cmap=viridis))\n",
    "dynspread(datashade(hv.Points(df),cmap=viridis))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MqadPvPGohIAag3RCJAwIen1X7jlDXOHZ+JLJlmNFJ9L7jBOR5FzNzHFRZ1rxKNxrM4+yPp+IR7Zj1FRmBV1vzVUVe/+BP3ESegtQnwYGRNCDw2bZTBlVehdl66qq971FOlXyrc89Aq4nmtXP8SjXkSfhUZQx0bQsn8FC6GlSf0HpGXjLtfjMfM+u7XNt6cHglZmHa92xbF3XyMOjQ4+yzNpwVdC9/Rrii6GnvoF0U9ubylSh8Cx8dURxUriyD9dQ15R41HGt0o95uVbxKJRZSaVblFl9HjV968pkL5aOLoOHZqDZRqSq0i90KisH6Zl0coP9oqu0J686C+fnBI8k3Xl4NMC2/HeRIFL8Ld7vbWUkeQCSPVafp08ol4cnzUauqa60kKnjkandkuulINSuzPzyufRqZOq8AYpYFD0N0pkJwQQGjWymJS3UtUppxqA0O6KFco2vSeoGMeKti0xyPCtDXkaKMjkelHmYah7JsTyPRMb9Ni14mOIMymMss95KlyYsip763vliueaeRfK6F+sBYzLf/S+8qZFJ05OsfA2PCn3N5ZFt19ty9dxfNk3vNV4e2d9SSrORhyedoszngp6aoFCuQbbM/N13E5hMPVJ4dkk7mOlHZdN06cZ5an7w4+WhpIpWfL61XCXhJ175Io+qetFkuaL56+p4FNStVZll6+cWXJNjpbrcg4uso+B5tz06cep6pE3dW9WHq6lH2tS9xTbfz/XJ1L217UTKZ/4yK+Ii1aVLj40ESUVftMb6BtJtBtZVVt0mmWJ+55lHsczOikcW8/CoTFaJ5vTyOLdI2lYR1OYrERvZtHK01l/BpDJKbnkPZAxIGYuuLVhybXHmWilZe9N0BWzic18o/hzXAo9EVu3Mwl3i6omlUOYxGwjOPIE8XBvLTOcrswquYgRqjN4LpadZeIxBiuZfYRFyzpW+d7pwrHRNJu183lqbRz0PmfXuK6jlfidp+lxMZ9M55YyrZAr3VZrxeQRl1tQRXyQ9bdV0edqfsiOwZr75U80bv/IyOku4SsSfqsdAVitfTLhNJq2I1GQRX1BbZhX6VKdmpXajlPoi6Gm7QccSFxeLoadLLDIumo4uPTZiGKmw5GYsWyUrbdb6XSXTxiqZueZC8ai0bJ8lj7I1tYmHDxZt9SGOXSAiv6Yx0ccOjQ1JCmEIvlmQ2NBU2x3KGoSqRJpk6uq4jNGjMousUew0PLJcfDJNhrc5y6zOuF3JtWBcqcMcenqukRtgJQajgnEpN/ixNYarimO5a5JxYXHAWOUdVnFNOY8yD1s0jnmeax3XYrykNlwfZ5lNx/Uu/rAAeprcc6eDZNso8etA0kaVXIXja2ykafunUfm+U28aieU9uiiF2UkvDynIFLwZszLZGDVZHjY2GIOHRwuuqXdRE9fsLHZTmbXhUTBkDA/rYxbBAujpEp8TWOroEucdF6kuXXpsxKicWc50BIszur7OZu3McsUxbx7nlUfUgof1y5+IR8W687ryKKUPRO1fuPMbuyAuJ3t4DPt7kC3bQsextKYfz+Szp0ja7QAxW8fvlSnyaNoBwtPxrY2vMA/X5J7bcm0oM23gWpVHu3WMc+npuYYNDWboClQVMOKMcVP/oPkkkwH55+JPoC6ezzzp5C+o+V1x+VlxrZvRb4M2PCYNho1F0FOdTEEVc/kS0WdeyhljvfJZI0HF8/caPcica+LUUN/l8vBxTZvKaq65mF6n5XoOyqyWIwugpzXGy8p6pEbmUcR0qzQq19Vnnmtq84jxWIzKVWVWZwCvKbMz7p+eS+TqAwplVuXt2sr7t1wner1u0zQrvG4z6VaNW7L9UBv5dTExCKuXa4ZH1biljqvn/tqUWcmrOirIcLIyK1K7SDq69NhIUPXMWnRaH1ne55HHaeRPku4ZPZeLZG2sxixask7rI8KfL5xTd9pzSGsh9HQaYT/1EvboCAAdj9HDo0qjxqmew+N+hlX5nRcej/raGBdeT1VBFTEGM+ing++qWA/ZlUFVa6Nduhn54vXJ+aRYijIZD4dKHsk6/xqZbB6VXFvyqEIbHnWxa86qzJpw0fU0Nx6JPXRExBmMC4NJYBZDJ3mEFRMT2fL0GR2KHjk+A1nJiymbR8yv1iMnE3fI5/WTcq3hkeOaDExzCRBPWDRwfZRldkb9U86xN7GCe2G7cdybTsdNZiTuVk0XN5WR+p9dSaxCBxrHCw1G2mz6reY+fDzayNQYtfMXt5A7TZl5cJG83pceG1l43CWblKdNZO/s8TOLQl5yMZ2TR9UMcrYDV5zhb4FHUR4n4ZGFApMLtD6sCjqN0Lt3URSd+q29QFp2pba32Dn0FEnWMl3lYdBqS8ksjyovCV/H1ZNH1btQu8wgOZ5U2nU8slzblFkN19oya3ivF0VPmUxhcoyGHVhdBVX0wYOcSH5baOM85grlk5MpbvksyTbZs/qjdpvsimMmkHSGIzlX2n0hqN6eOpUxs3SquGbvL5tve64tttKuKTNf/I82ZVbEwujpEguNhdPT+FZUBOl2kG4Hu3eQF/EYO0rJ2Fmg4jqvD2dAqW/TcgaD7LnijH2Gv5drTRt/Kq5JmdXxaOmh1IpHg4z3Olrr6fn1JgYIAsz1a9iXXsJcv4p9/TZmcxM9PESPj+ce03iPV6VR0z/z9jeLaDPua2P8qOPRRmbO8ecjKzMPrTnq0ieup0vDRgbFTqt3S8lCx09MHPEffwc2vSbbec52aJMOeuaSEg9fp7cYnG5eHoUgcrOBQsYwkUmzkkdteeQHlnOVx5w86qDohXKjqoM9OnZfKoxwvuCAqUgye0GNTFy26sujIIPn2c7yqt5SMuVax6Pu+nlk2ixpOaMya+LRZJ1bFD1N21Nr0ekUVa3s+Oa+13Q4W7kH1+TRRqYqwGy75SwteKhf/jRc5ymzXCd/Dh4lXougpwLE9Yc9HlYbP2Nki6WNofZUBlJfHnPIpPn47mceHk1G5aYyq5M5ozKrw5PUUxF5K/A/ApeBH1bVv31WaZutDWRjAzscIYdH+b6Rr5nx9b/SCYyKyaem5aZxupUTZb6BVYkHsyWqLdrv6qWxNHPN8Kjk6umjeHlUNOVtuPppLUJ9KoTPPQ1ikBeeR0QInnsGVYisheHQW2itdJGMCrV4dpXLiVs/35oJ2TbP94z0rAqtuTa9m5qXr590u1g6eq6WoojIbxKR94nIyyJyICI/LSLf2OK6TRH5eyLyQER2ReQfiMilefMvrb2aMx5E5boq3xq/wjVaIf/YeVi//Ml4JF8ePY9aKEQtP+cesdHHGTGyx90ssKqm3z2XYozJyBSDv+Y7o0lHISdTrCQV7zZv6Yxw4sJZ4lrNI3W5zbg7+wLm5ir0Bq5JxV3JtabMJFeuzWXm2ypMrTZ7HS2KniZG1cNDotdeg/39ND5MKpL1cqmZAUtlGjoRlbN1mUdR2GgkziMjU9TTOXhkO+iNHRORXP3mzdvLNS7XGhvZWZRZ5RKHjMxF11MJOyCCvXcfid9td8L/V4rPJvsze7LinlvJ1JV7ykNKx4p55PS8JJP50cS15vnlOsJ1ZVbJY44y02qZWpyxnorId4jIbRH5YOH414jIR0TkYyLyPwOo6s+r6u8FfjPw7hOw9+Xv/oYh0ukgxpTaM+/2xTUyvq0uK2XSA80yJ+XRimtNupXXi1/+RFzNCcqsDhe8Lk1QfIbZvyd6vo9Az7z1aFUeczzfXN17RlyfZJmVcMHa/HNl2AD+CHAA/GHg1wL/HviHIvIHGq77x8BXAr8H+B3AFwH/Yu7cT9h4pl8re5vzyTxRHlWcLhqPwuW25WfhUVt/zdEYP2mcG6oeIifktlB6qiAKWIs9PCqdzvUdqspLas4lIka8RoAcD5HKWbaZp5Pf8OG4SiNXyXKtkom51tWLiUu1n0csU5PHXGVWgaY6eSH0NBmcjEZ+Q61mfmdiAaQ6kh2XZ42w+A0UjTJSNjLlZFIeHq6FPDSbR9Fupfnjvq19s/ETfFy9RuWaMuO0ZVbBozfolq7JXc+Z6+l3Al+TPSAiAfC3gK8F3gZ8o4i8LT73a4EfB364fRZLfK6hrZ4uscSTwkVr88/bUpRfo6p3M7//nYjcxBk8/jffBSLypcBXA79UVX8sPvYy8FMi8itU9Yda5VzVOc4er+tAN6XT9przzmPePE7Lo41Mo7wQnZ+R8OmQdBiLAzWZbZ+naCmq80zGZmTK0aFTL4e4uMoRxgsxCIoDtSSPuBOeRmwuca3mkQw0szx80aFbcU29JdQ7qMzz8JeZ5sq1ucx8EbXbzIIukp6mMSS0Lj7GTIdPFh9jds0sPkb+vWgTc8IYSfW0Mj4GGa4Z+RKvxPhQFx8j+V6ot1rFFMm4b59JmWk5psjKah/2qcHi6Km36SgczHnpxgpWXJqWXc5WtbStTiZNL5N30Tu4HddMHsmpGpmSNc+TSel+fERqyiy5t5OVWSadgkwQBiX5Iqmz1FNV/TERea5w+IuBj6nqJ2KO3w38OuBDqvo+4H0i8q+Af3jijOPdpGberBYSL9YggGmU5ejjXfn7cS5p+5xeBliLxahPo3v3kZ0d7J27mMuXmD7YQwYrEIbI2hq6uzcrl+duwkuvY6OZ7pZ2j4lFszvftPHeLu0SUjBc+647s50pz9Lj3frfidodIbVZxltmJRfSIi6Wjp4rw0bBqJHgv+Aaiip8LfB6YtSI0/mPIvLJ+Fwrw0ZlADtTHTjO20FvEx+j2Nk0LQLpnRceNYH0vJ3v0/JIBhEN5VFnKlRgohfnpayEAJvr0A3h7i5mawt7/z7m0g727j0Ab+cwRdoea+UAuzh76ZXJGDVKMtmGo6rIszyqRLKnTsO17f204XrKPFp4+y2GngIns2iew3xbJPek7vRJYZH0tM2gJt8xrhiAZWNfVC6tal6CmVWkUgfdx7VkzG1eClobp8M3aK1aRpY9VlNmST1/sjKrzmN8PPZeM8t3Lj29LCLvz/x+r6q+t8V1t4DPZn6/BLxHRL4S+PVAD/j+tiRKMC5WQfSpz6S7StmHu8jxkODaVfTWTfjEp1LxrJeMJL99z19ig1PNMsDEqFS3pC0xNtXFUKnmkTlfcfszrtU81NLMldNy1VkaTTFlGniUrmMB6lNV7P2HiLXo7h5WQff2kH6P4OlbsDpA9/dduVzZhuuXIbLw2dcyaXjSnXOyteRN1jadYn+zTuY0k89Fw3UdjzYyZ8C1sswKyV0kHT1Xho0KfBnwoZrzbwE+7Dn+8/G5Vqi00mUG5b7ZWvfXLw8trXSRx7p2kXlYv/zJeJQ7fE08SunDhbI2VqLbRd/+AnI0prO24TwJ1lZdxbS7i06muXIqVorp75o6rE3QsFaBxZjlc6ogSlUVd1uumTJoE+CsVZnVcG0ssxosjJ4S1x9xORUHaLn6KpGp2a896WxW1hNpb9QzwPLVaWkmyXGdi0fljJB4rsvySDu9NXVrWmY1desZlVnVLOmoxYDxSempnFVQRmsBdbv2jB/mz9V0JCtXEdUYAnzXnmgJZptLWuTRamb5LLmeqsyqZaaTqCheojCHnt5V1ZPEwvBloKr6I8CPnCC9fOJh6Lz9ul0kilx5RBE6HIExLvMggHjmOx2kaKbYfR47qtR54dQOdhJZjwdkSSbDo9y2Jjyyx5plsvk740r1e5meq+GabeMbueoJy6wGc+jppoi8F/g+Vf2+uTN6DNCHe+7v3p5rh/p9p7/Tyez9ffamK+DDo/yzBG89ki7Ba+i3QnU9khrhRL2ToLPJYamcxMp7up2QayyDVsRcS3XaffHaaBI9qyoz2vMo6XS1+Dx16RPX03Nt2BCRr8J5a/yuGrFt4KHn+APghZq0vwX4FoA+A48A1YOqunOPU+ac8ahrYB4pjxaWXHuBrI1Z5PQ0XHdup9bCZIqKgfEEel23b/hk+oTZXjDM3wd55FgIPWXg9HEagSis9OBwOJNdWXHbv0HzO1zfn2kv0yKNs+DR5nztI67pN5XyacO1RqYy+RazjWeppyLyHcDXA7dV9R2Z418D/HUgAP6uqv6vqvrzwO8VEQN825z55HTU7h+i+wcFIfxl06KNOVOcdx5tZB43Vw8eQ336EvB05vdTwCunSTDf5m+4g8fHs8GMgqwOEBHsZDJblgI5mTgt/7KKhv5T7cCp0P/yDugL/cE2PCplitD831ke5f6ntuDaTmaOMjuBzrfU0ye+jWYWWT1dkcIYKi4H0++5yYDxBBMGzmAfLyGT4bjkVVbeZdGzG02hjH1btpe4ZiaffEtSi0uVSzw8OlE85t0Vp8g1t+w1v+V7Ug7ZdErLXrN5tiizqrFZNm9jTHnSx4M56tInrqfnLXhoingt4z8EvldVv7NBfO5mVVXfq6rvVtV3d+i5C4rBujwp+IJkpecK188jkzWGteMxfx6Pmoc+KR4NDYnirI1tPucNOT2dhsjPfAQ+9mkmn30Ze+8+0auvEh0dYa5cIbg82wiospHPwnO7JTflOhlpMQjyyRSer7eTUFze0YarL+9MR6RKJv3atsxquNaWWYN6LYqedsMBwdWr8MLT2He9Efv8TYh3nJGdHczVK5jeLPCfL8hhetzzPS/kly+ecyQ9x7ItYEWL0YaHGBplsjyauKqHa45HMQBDFdeqlrGKa6ZzV4VHoKffyWMIylhs8+2duzCd5nY6Mqa8QxOAyawjK+2M5HnexaCcud/iv87Lo5B0lp9vpyj3159mFdc6HlWR+VuVWR3XMyqzOsypp5si8l4R+TWtM3D4T8AbReR5EekC3wC8b8408rwzetrvrubOzfRCXJ2j5B84+XL3BX6FvFoVn196jZIbPFXlkT6b4u4LNTx875VvV7Mi6nQkbepruFbtaNKqzLJ1QF2ZFY6Vdn0roK2enjfk2nzp586Jj2/xUItbyqlUqrvVCVXt7lG3DNjHtSTvu76o0lldrsys2PFtyqNZpkQ1V21KlVR9vgVctL7puTRsiMgO8K+BzwDf1CD+ANjyHN/C78lRl2/xgEeo+ppUiepkipW/p6Fpx8Ofzql5iF/+ZDyKXx4hjxooQoRp9Tn3GE3gyO0JrgduttH0em725njoyrpiPJNAYpk6odpgl8n1dWiS0YzMSXlk82rKowWPxjJr4NFUZlWN7ozKk9NTEXmriHyriPxTEfl9p0vMOBfqQR82Vl3wMONmaYL1NUQEyQT+O1191SxTd8x4rq9Lp7rj1IJHrk6r59XMI/nSnodvANKmzIqYU08vi8j7M5/STE4cH+t+4XAalFFVx0ASlBFVfZ+qfhnw2xrJtkBqyDHGBWoE6HaTm83LFL77fjfKeNKszMM3K9yQR91ylHm5Vi1Xql3OklCviaHRJk5HmzKrw5x6uquq31LnOi0i/wj4CeDNIvKSiPxuVZ0Cvx/4Adzy5+9R1Z9rTXKJz3m01dMllnhSuGhjqHO3FEVEBsC/BLrAr1bVw4ZLPgz8Es/xtzDnlq91a5bdgXKDnFs7rTVrp5PvVWunkwGWnmLt9FnwOMM13Laic/YoeDThorr4l5CuAyS3LhDcDoaJZ1vJ3Y7y8codIGT2HIqucMXfQP0OEKZFENqK3SpyLnl1O0Co5xgeF0Ut7wBRy8OTTqsyq+DaplN+EV38S7AWjQPdydSikykarwGP9vYw6+vQ6zkj3XSK4q+v2g3iqr122gzirGfwNdcgbg6u2fsrBiFvNeDMcU2+tOfhHaS3KDMf5tDTk8YueLRBGTNIdi0Kbl5Hw5Dg4ADW14lefhXGLt5IredX4Wcbl3ifQbeNJ1yjTCGPSm+5JBkfV5+3XI1MY3yMFlzbLBFoMoL7cJb1qap+Y8Xx7+eMdHGJz00sTP80hjcwfPGQ71321ZuFH8W027XPfvlceuqXb89Vy6dqZMoVryeLVjLVv9PAzScosyIuko6eK8OGiITAPwHeCPxiVb3d4rJ/DfxJEflyVf3xOJ134+Jr/Ov5CNBKgauuOfVzb2rANXPYJ3NeeCRpPE4etckIY23aGu4CoVDBp0V92gGYr4IvXu9NtCYPT5qlvKsq7xaDtHoe5R+Pp1FswdWXz9nr6XcCfxP4+8mBjIv/r8QNFv+TiLxPVT8Uu/j/z/E1J4ZGEfbBfeTKJuZojH7qFYgHNvrgIQqYjQ2C/grRK6/mjJi5dFoMnuYq95o60ys/B4/c7g0tYlScTJ8LuvqoyqxhAPmY6lNf66F6RkEZcxmJIBvr0O0476H1dTfin04zMs2v8SwYW4WAJh4xVUHhXF0jxG24L52mNjXOo24Xp6yMl2uSd42XWi6AXVU+bbg2BbBrKLP65OfS0yce8M6HUuDl1JivmTX8WrimefcdrZD3XeM7lrsmpVTkWs0juSa700+b3XeKOwMVy8efjodHqd5sUWaZvCvLLDseiI81B7e/+P3TNAB3grj+iI6OCdbXMP0e08g6XZ1ModtBByvIcJTfTcZjzM/VqxVtXipTFUDe6qwe8ehitj4TynE6VLUUu6KWa9XS6FgGVa/u0sA1xyOd2K3gkQTfp7nMqpa2zoroYuno+fAbmeF/B74O+HPAjoh8SebTAxCRj4nItycXqOpP4NwA/76I/HoR+W+AfwD8uKq22uo1TtffgDetry50jE+yzvvM1k7neBQTeIw8Mh2i05cHJ3suhSwsptXnIkAV554hrmbT4QgA2+3OGghvBZ+vsBtjXxRlkpm3ooxWy7Th4avgXUNTwSPOs+g1n3a0fTw8FbycgOuJyszD1Yc59fRcu/jLlR1XwHsHMMzvsiGDAYigh4e1gycnTPMAqU5GvF8rZWrzasGjzVKOSpF5eTyiMivFTChgTj09aeyCMw/KmEVaTSTR441Jj0qyJj4evDgZMoPs8nM2gckFp/PBBCbtoPviYyQd9yQvExTySNrb5EO57UvyQDPxBwrPOSdT5Bq3t5LJyxcfo+iFVI5rMLs+WWpWX2Z+ZTSBVJbZYGPFe02COfW0cSnKE0ESjDBewqeAGIMeHmGtImHo+gLgdkkp9MmyHp0JSn07Xx+sPihB7hqfUSqrz3UyZa4NPHx9wYYloG14FCcvTlxmdf3yCrTV0wsHBQ4O3LauYYjZWAPA7B0BINculb3DfMnEdURl+UpWxnN9Wq+6esQvo6leV05weYxX1TwqxoqxjPrGRlmZrCGnikdybzVcK9/jQpk1eW1ctDHUufLYAH5V/Peve849D3wKx7loOvoG4K8C34Ez1vxL4A/Ok3HVDEQ6+1H4nr0m685ZJePNqyqPM+FhSF28nyiPx1MeTbjw2xNmsdqHfg996hrygY9i79xBrl5Bj47rra5tpryyIsUKvE2j7TEgnIRHO5kW+dfyaCMzZ5lVnGvb33kM2xM+Fhd/CQJ3z1bdcqTc0hzX+AmkBVO51Cj7zlctedLZYKu01CiTtxiDepY8GZF0JrDMtbzkqXJ5luK2k6vjmuVReL+yeZd4JHWrIfUOeVRl1lvpwj61mENPTxohPQ3KCLyMa+N/6wnS8WOO5uCE45XPbczd3FaNFk6H8xLM7qTQ6RRUMZd2iPYPkEvb6MM9JIpgdxfd2HADR8Bcv4Z95VWSmVxwbZx3aZw4g5NvmVwik0yOFZfNZdvWqm0l8/05f1s94xFfrmW5mbGjeivVtA6jzCPHtQUP9/s0ZeYymde76KLrqRfx4Dna2yfY3kJ2LmE6XYQAORxhJort99zEXDKIrzAYpAYHn0zmd523XK1MNt0GHpVcc3m04Nq0lLAg35pHRuZUZVbARdLRc2XYUNXnTiKjqg+B3xl/ToTUtazwkHPxIIqxHlIXNVLlqYwHwUymMi7FovBoGR8jSb+eh78RqeNRhKoQ6dlZEp9Y7IIY2u9h3vY8OrVpa23v3ElndxLUxsdIZubqYk4UBlezdJrjdGQ7EbXxMSqO5QeCkrrLVXKtiNOR316rmUerMquLKZJ8rxm0VuGs9bQCvtbpkbj4Z5KvOHrKgYz38jMeHPk6wieioTXnGk80nDsttOaXR/rs69N/BHwlzgvpJeBPqeq3i0gSlDEAvkPPMChjOouXvsezu3Zu6TKrW6O4c8jMwlEc+GRjXFVtnZetF6razmydXNwK0KazcJmBoKftTM7Xxriq4ppcYmd1eF1fIuFa5qFpHumSSV+ZAUhdmWllmR3tH3uvSXk+nvr00SLxGgpDwmefQsMOdjJFd/eI7t3H7DkLpHnmKUyvh/a66Gicf+TFSaEk5hPlNrUoU/yeF6JaJjP40uKxNA/XV9TknAezdLWSh0ungSuz/kgV19ZlljEu+7nW8yjzWgA9xdMvSvo806kzToUBZmcLVQiOJ06m2yGKPY5LfaR5Jx7SfE/Qh/NNKpx24qEF1zoelf3eGh6zfm8NV2+ZGYioxEXT0YvD9FGjqmLNegMUZSQjo36Z9PqaCYmcS9J551EnMw8PTskjG9m/xRZwFmn1aYnv5DFsT1iJKELvPHQzNUmFt73pdp/o91xgRmYdW1lfz/0GKjvommmxq2dIqmVyRrbkWMWa1bpjeRdFf8c4+9sbK6BBptUaXl+Zle7Hlr8X6bQ0i8+hp+fSxT+BPR4igPQ62Gm+F2iTgIwmcPENjHgHT7mt+aRc7tZaVw9kzuWKWeKBnpH0ez4TV4/YZI2pRybnHl3BI+Wa1K3iG8TNZLxGY4llRBAvjyRvN7D1yljN1/O+MsuUh7fMgOHBkCacZX2qqt+oqjdUtaOqT6nqt8fHv19V36SqL6rqX2iV2Amhw3hHKVU4cgNmSbbPTp6rEQhr1hnHA7nau65oF3Mi6Qis6nxdBvH5RusUjVz1tFzb8CDhUZdJM48qPIb69LFBut24vkxcKUjjwEi8i494lpF5l1UUv9f000oesdIs4/OibcOjFdeadCuvF7/8abjOVWYNOMO+6RJLPBKc8RjqkeJceWw8UXiseCXLVmY2JfmdmxH27BihqrWzxmkHM2PhPi2PbHCZ7ABvXh7F+/HyKLhqPwkeTZZxF/imtapfFpH3Z36/V1Xfm0tP9cdE5LnCdWnsAgARSWIXfEhV3we8T0T+FfAP2xKpgjw8gIcHbjtNgKs7yM1ryOURZjhBI0v08suu7K5cxgwGRCi6f9CYdpsgiI8/UGJFui10oM7A4r+g4beXh/97XqZFOc2np+fTxT+GHByhk2m8fWZhcH33HnLrJqbTwRpBEczGALuXX//Qav1tdmBV8ezS+sQjkxriSlN2WZlymiWZpvW3DTxKBpE6mToeHkPcvFyl5h5csnPp6bkMyphF8PR17NYm0d4Bcvc+djgmfGaFYH2N6b37YC3BzhasrjqD3YMH+SVNBWQ9J1MUf/vKPTfj669LssuNGmeFfTIFHj6uxSB5zVwrZtKTPkoLrkUvP3d9w7vXZOB5PPXpEkucCnPo6bmuS9O2xxjnaRQbd7L2zVJXMDMpqcZAZNEwQKZRbsxQyqPid6OMJ83KPGr7pP7rc1mdkusszRZc0wPtuTYdyyd7sdr8pWEjg1ZraUsdluyB+HutTDE5tzYwl8opeVTm1oZHtjPR1MNtyOOJ8shAYZ6gNuc6dgFkOoxHbmZVrl8BEYwCYtDjIydjDCYJ1BjPQuJR1/rMamSqzmWOV7m6zivTiusJ8sjHg6kworThWsW7zfEYc+ppI56Eiz+AdEJkewd96TZ2fy8dkKf3HkXoa69hxxNYW6VzaZtoHMH+Qe4BtBrE1RiEc3lW6FE6gPQNRufgkU2ndhCnBXkf10SuZsBZpatnUWaNHgHMpafnfsAoK32k23FFPS4EujXivGQ6Heh0kPEYjKBRUSZfaFn36dLvpJtQnMDIxY2KY2QVdeAJxbhqlCGvQ+n9RRVcfW7ZvjwayqwOZ12fPmnY4yF0u+nW2YhArwvHI/R4CCt96HRgOEJ7HRBBhmPnwXk888I67SDuUQw4TzSIayHju79Tc61YHt2Gqw9z6On5rksV6HQInn2a6LMvIzevY3b30Os7RKsrmIfHufl8BewLT8P9h65O3VjDvvQa0ee/gfDHPoCMnTdS1vjqDd6OO5843JXUNdv2J9cUZZJJBzx5FGV8PDJI6t86rrU8sjJVPGKZRq60LbN6fb1obf7SsJFAKK1pzSpH7lgGiWuvqtbGpUga9ipX5/TlpQUPz0uTy6MmLkUdD/eiZHl41taeQx6STmNWI3r0ezD7MlB9FLELkk5eptMJSecRQF2AwvIlrdYJZjvTpQ561nsmHaTVrBP0pFmSyXSAfffn5dpqvaLM3iVPmu6aWUDJUnBJTzpFrt4yq+Laoq9zlnqqqt9Ycfz7OSMjmx8yK5e4E14aUGWOSxAgYucaPPkGXE9kEDcH15KB7Ay4zjPw9b0DbXj48Bjq08cGjYBphA5H7v0PXLdIVWf1QeCWoOhkgk4tGgTo09eQT7+K2dhADw5z28MWPTdzv5Pq07O0qvS92Hb6ZJJkPbOGJ9rKM1N3zZYrteCaXtSCq28Z4AnKrAkXXk+NARF0MnGDxZ1t9NBNXJirl2FtDT7xKezLr2Bu3kCuXsH0e4zfcA2Mofvhl5GtLaJPfCqN15EunasZ0GSXAtYZaZO+x8kGcc7Ai2cwWuJRM5h0y/OkdqAHCVf/dp/NXM+ozCpw4fUUN6CXK5cREYIb15AwgMs72HU3uSaQa6+0FyK9DnrtUppG9I7nIRB0rY88OKBuwoFsepnuVaWB1NchrvrdVsZzrkqX03Geeo557qeRhy+f5NwJyuwcjKHODEvDRoKMMpitLezDh7PjUKsordyQa1yMva6rPn7J9VUidW7M8fE2rs4XjUcbN6qovbXxpG5UjyV2AZCpQGedTiFfDmqTXkNyic6OpzL5cvPNbtTGnKhKJ5tH1YxQ3TKSwv1Byw56qfOtpXOlmRiPTCndGq7eGaGKAUcTHpOePnLodIo9PkZHLigYqwO4dgk+/Qrm8iXs3XvYxLDR72Mt6GQc66xgrlzG3n+AzQ4UKwMVa7VMq0Fcs454gyoXkE2nLjCkT7491zmDKtcEhqzk2nLJ1Bx6eq4hgxXEKjw8gDv3wSrBjcsggr3/AFSRlT70emgUoQ/3nMHj7c/D1jom7GIiRXo9otdvn46MVnyfV6ZK/izxKLjOi0YPuIuvpxK6Lrq9e98N0O4/cAb40MDaWjygj0dHUYQxwvTaDgz6YC2yteUcXo2QbJLnXWpU4x1WNbDyedSkIoWl0t57kxZeO/Msi/LdR1w0p+Z62jKrwULoqYCKwQzcFszS6QCgg67bhng8LY3i7YqTIY4LYwOBbggI8uBwVn5JkfqM7oXn4JMpTyp4jA++Z1U1Lqk618C1OM5rcz+V46MqnFGZlZO9WDp6cZg+YogImIDg5g3M5jrJ+rA0gJ1mvlfBJ1O8RMvHsnuPVwZIOgsexY7Go+KReflPz6Mii3nKA7BqWn04+X72aewCEeniYhe8b840WiEtvjBwBbR/CKpYY+KO+IprYKPIBcVDkcHAXZsdgLcZcM9TqabpNufRym3ztJ34Ftd7XUxLMn75ShonKLMEj0FPHz1UsbdvO90LAsyLzyAbawRP3cSsrDhdFKDXxQwGaGSx9+6DzGLCyNqqP20p/K3DvDJVz8kn04bHo+TaJo95uM7Dg7n09FwHZTQ72yCC7u2DWuj10kCM+nDXyWxvOZmDAwR1g8aNNWbL/9y5BJWBA6Xi+0lQdX3meBsej4NrOx5VF1enYzyBMou46HqaegAcHs68yaxFVlYxxrg4Ron31eoAVbCbK2hgMKMICWIvxOls7VTO4zUe9NdNPPjaVclMKHmvTzxJk36cp4+WeCun9+obDBZ5FJMRao0JehKuHmU8UZnN8d601NFzi8TAlvgMJ0WYDXRrTPP7m8oknrpBVkEyeVWkUzUWyOZdDLCbppe5NJdvNl2lUqdNkOFR0ebWcvXcX7GMfPdXKtegLHOSMitijrr0iWPpsVGEKSq0QW3NPjgFzCu/xKOHwplaG59U7AKMwVy95nRsPILBKnZ8BBtr6O376N37aBjmRtbR7TuYzY1WgUPdzVFvLW4r8zgwL4/zwrUCZ62nTxLpbNz6qutcK0jsQaTHx6AQrLnBoY6GrvNpQVbcjE+yM0U+UXIzEqUlFZ6ZicYgh2nHF386nueWm/Gpm2Gp4lrJo1mmcqalyMPHv2WZdXodqNkYZU49feLrbX1I+nkmXrKXuipL/HwzsiaIl/Xp7OKkWKWQHlBeWpekM+8ywEBynj3zLwMszxKWZB7VMsAC99w9ennMvwywv9qD3dIlKRZCT0v90bgMhJlDZvygxXONMUKkGZlkuR0ZdS4ur2zxfHPPy6MzxXRbLYtrwaM2dk0LrtnyK3lbNCw3nZdrIm8CA1MqsUjt/hKLiYumo6cybIjIl+C2vfwS4CawAtwFPgL8KPAvVPXBaUk+DqgqWEv00ituFkfVuVBdv0YwmWBv36l30xUILl+Cfh9eemXW8/VdUmXpzViWS5e0CBiT5VK5jvBx8Mh08ht5+KzsOR4VWcxRHoow0Zpt+vJodPF/UrELxBjMitsJJRj0iCLF3LjqBocPHsJ4go4nqXzSEbbJzGO2Y1zRGandI7uFzKwTMHt2xZ1v2nWMz2o/7+yuRY9oD/QM1/R7zWCiCmetp08SuVgPpY5iPCgsztblrvdUFTUd58rO9bwxJ6piqNTwaNe59nTy6zrXFbEvckaYE3BtU2ZhJ2gwbMylp+cT8YDfFy/FJ1p1NGvcaLoi35gVZcr9BZ8HcWNWWQ80P4sTGHfbEKmkkbmg+sLK/kZNHsWYHOVrF0BPl1h4LPV0ifOOi6ajJzJsiMhvB/4o8HZgD/hZ4BeAY2AHeA/wfwP+loh8D/BnVPWTZ8L4UUFIW2N739lizKUdTBhgj45RBES9La2IwGDFzTaqzbfqaeeR/KxPKe/4T8XMbq6j2yRTl0dLHlVGhbPj0UKmJQ8xAjVOMqoQtXeROpczNwBqI6L9fSQIsMfHsLODHIywK52cQSNBVTA2ubyFhCH2tbv18QQqBuJ1Mt4AdieKfVCO0zEX11g0O+Bsw+NEQf98cQ0KSTcZNWBx9BTyz8q7xhN3v1Ih02YQ5xsMedfXNvFoeX0VN98YrhWPuvsplUf5vaq6n7pj+TzyaSdoNMDNp6fnEskd2+MRwUYH6XRQAYkibBIEMAxhOsUeDQk2u0i3g1WQ6TQJV5BuTWjDTuytaZ2HgcdoZTPu7KUYK1owhnkM9klwwroJCJuRyUbxT3mIq6OS9tNXb+a2afdy9fCo4Zp4jeSoSiaIuFZxzcyuU9bL4UGN9Y3F0NMlFh+LoKfO483t75gZSs3qJ6noWxU8klKR2IKfq3sq2lZbEzcul1cqc4oYWGmHpanPmufciqvn/ipjy2V4lMrV4y1YX2Zn3jd94pibqYh8APhfcTPTXwhsq+pXqOpvUNVvUtWvU9W34gwc3wxcBX5ORH7LWRI/c2h5bZLpdlDFba8Vu6r61lU5F1KDCQSNbH4NlyYys+9ZpGv1kobfwyPZdYX4fC0Pzay5yoq05CEmvlWfzJny0DPj0RzwTrAtP+caVtF797F37mCPjhBVt9/3J17KtAg1EGBjDbl1Hd3e9E01+o8Vz7WRaeIxj0zVrdXxz1T8Z8ajjUwxv7lUakH0lNk7Kcej2NsmMzjv95HAYIduYGK6oXMVFoFo6sqs18/XLcVBXDyYSrw+fHWAJAOuWpm8Z0XVEpHSvWX0LMsjOZZ3P/FwLTzCIo/SbHTCI9vPs4XySNaKZy/Taq6+Dp0IjI7zW56WMZeensvYBQns3XvY8WRWJpMp9s49QAmuX3My9x+gUYRZHWDW12BqMfcOUGD47KZro7a3UCOV9U5tzIKCjFRMGCQyIlROKqTpVPFIH3l1xXi2XJOCLZ5M+NRxbeZRj4tfn8529ZL4d2I4j3edy7hwpRMA03j3E8kY04oyuUGcf/CU6hnUDuLaDThbTDzUDeIS41bVxIMQD6kbBpwtdhuqGvjmBpxVkySeMmue1LjYOgpOn0QtenQ0OyggcVui3YBkXKzxltoynOTaQVHFxjLTF66kOk+xvcqiUP/k6pNKGRCfjC9tXzq+uqgg6+NarCuLMWZ8XJOx4dw85iozTx6eiy5SXXoSE8zfA55X1f9JVf+LVvgQququqv4DVf064EuBh6fg+VhQtewhL1R9UfXqk7qEPdIn4dGq5W/mUest2wandoU9Ix6FyyM1rT4XAYKACdJOox4dgWpuIOgNCKRgLm26KNTHIyTwuJYVyjqXjmdwFRPKy7Tg0Uom2+g1BaGlwK0wIPUGczpDrjkepTIrX+LDwulpt+N0bPcQOxoTvfKamxV/7iba68L2OopFpxEEBjohdnPN6en2Fiqm2kCVdqar88/NmlQ8g1I8jSaZQv5eHlVcs3nUDeLm4VHMY16upTyqz2WTm0NPz2+QWwBV9NXXiG7fTd91HQ7d927H6aUqDIeuQ3xph85zTxFMLJONwEX278V18epqWsbFd158z70okwSK1Ip6hsSoT6leKt9XPs1SntmOcQWPuvemPVet55HleoIyq8Oceno+DXAaD4pXVnL3rvsHYBXpBE5HwW05LBDsDp3hYyVMZabXN9313U5pltyLxF7Spj5oOZhskpl7EFeQqRzE5bg28/DJ1Bnw5uLqQVs9Pe9QxRmFE0MQgvadvmlgGG+4naWiV15zxdR1/U/bM0xXA6Ke4fC6QQX2v+yZVm1irg5r6CvkjE4tZCrTacujKJKp5+QsePjyadHnaZWH55KL1Dedm4Wq/jVVrfcBLF/zAVX9gXnzeqwQypbe4cgpYCeMlaAcWC51W40iN0MRBjltFXFW92Sf7bLrfmZAJn4e2f2xU65FHtFsdmRmpc+InICHz4Je4uGxoKcD7gZX2LPi0Saqb4Rp9eG8dnCyqOps5gbyFZ1N32C/eC7/iAsy9WmW8qCcZiPX1AhRLeO9v1IHPXdBnk8bHmUa1TxqZFpbNphLT88t0rtdWcFcuYIMx/CRT8B4jG4OkG6H8G1vQK5exkYT9O4dCEPM296A9DoggogQDPpp3eH17CL/7vs8u1JUDPSy3nFpmlKUMd7vVelUcc3yqIy6Xss1w8PnDdfENbmkbZnVYBH0NEWuva6vZ0Rk5pGZvvtlvalNR5plfPVK2zxa1Vc1x3x5tOKaHmjPtS2PqjJrwhx6ei4NcDqZun5UbGwDcN4JSnTvvjMKxzueuKXQYMYRwfGEYBQRdYQoEB7+yhdQBN74TEZvqR/8NBV1y8GX10BVkKlNp45nE9c5BopSI6O+dKryOgEWoi4VYDKZFcNmH9vvEAVgV0NsCNFnX4LJhGirD90QHXSIugHDrYDdt6wwXQ3YezbErnXReDtYgbkMtbUG0hbG3Mp+YNsxRwPXxBO9iUcV2uwImdtZslWZnekY6oljuStKAo8i2fsP3KwjIGHo6s/1dTSOwYEYZGsDjo7dICo0zkr5lueQn/+kSzY7k1ahO7UzcYlM1khQUTHnoqpXVMyPlEc2ncfIo03wUKutO0TnOnZBatRKp1PinoPqzAAk1YHVNOkEZaLNp+eyLkdx2da5fiayla6fAqoVrp++uBQpkfhP5hnXxseo0AObCZJYG6cjaScq1hpmy6lkZPOVWZVrb1MsmPn09NwGD00nDVRL5a4aR+9P1uRmWvncOWbVh69EfM+zVXyMGpkqHamN09FCxrfk46y41nl+VMc2ma/MSrzm09Nzj1KsnjhAM4C5cZ3o7j2mty4hCOZ4yrQbYicTzEiJunDwwhbdV/Y5ftNTyOFlVv/Pj9fH6olRG6snqqk3q+qZzHvjS7OUZ2W9eUbxjepiMRUCMkNDfCMf/wYshJ6qEn3yk/mlphoX2cNddH8fAPPCc0gQpCtTOq8dgMB4I+DBF20z7QXwRW+HIEDWB+jDg3QQ51uW1LibVIaLVybT/9PisTQPnENKVSXfkkeaTh3XXL5+rjkVL3GNr1HSZdIn4erDQugppPFyMgfyH5gVXNYoLPHfIFZeIzmZ0k5emQfTKmB29nf8XFsFGS/qgE+mkEdmZdjJuWbz0HLQ/NYB0Ru4FnnU4aLp6JkaNkRkBXgH8K74805V/eVnmcejgu9ho4revuOCXA0GdK5ewk4jotiwEdy4hoSh225TwXZC9Mo6ZNvw7MuhnmMUKs1H3dA8Dh6ZdE/Po9S38/KoHzDCRBfEhpd0AqZT7MEhZm0N6ffQo2MYrMBwBKrOEOcJKKoP95GdLXR9Fel10eMK56uKZ1M670O2U9OiLqzKopZHCz3KGdeaZnxox7UWDWXWNGicU0/PtwEOkKNj7HgMvV7aMdef/Qi88AyoIN0AebDvAgTaCfpfPwpvfsHJCUzf+hyyu09w7wB6fXj5lXImSR3hGaCVZmeU0nNJOsR1+tEUpyNNp0EmzUcz+c7FddY5q1KlNlyzRrhWu2d5Ll+Y+hTyndEgwFydre+WTgfe+Cy6tuL6ARgwwuTKwBVhAIQhB2/eJhoIwb3ALbfSYh6Z/kVFGXv7IDVcq+q7uvo0zaNG6NRc0851tZ7WV/rtedRhYfQ0jXnheXbpUh+Tk0lnuUXQMJ5FDYNM347qNJPjbQZPpx1wnmYQ10LGd39nwnXOgW8dFkZPl1hYXDQdbcVURL4I+DYgAL5JVT8gIi8wM2C8C3gn8CLknLU+e+aMHxe6Xec6nZ2xmEzzVdVkggYBRNGsFZ9ELoZBfP2Twwl6AgsLIWr0q7xAUGfMsffuo4dH6HCIee4pdGMNOThCRlPseIzcvz/bax4wz91C19dgPMGMpujGBjoa5WaD2s2QNMho/nt2RsVdlJdJ17T6jFse+WwZNPFIO9dafT9e+YRHsXPewLVNmVVjsfRUoynYyBnb0oOK7B0h66tEdx86w5qQPiSzfwxhSLQ1QPpdiNaQEa6OzcI38+LraMad/MoxWJvBZJMuNsmcFdeMwbeSR00eKY8arrWD0UxCc+jpufUsgvL9aifMB/8GWOuhIoh1ZRcZtxxFAU2WFPUNaiC4d4gJA3SS11dVra8nMl5l6aHilsFFXS3qVIs6sZFHIpM19pR4eLgWefj0sGCMPi3X3koXjqjBYtWnSywqFkNPk3czunefYGcbe/sebK0j2kUi67qZ1y+jL72O7YeYSTxeCoWoExDFu07auBF88FVX2fz3rxEeTNM8KgPMZnCine0y6VbubOeTSZJNxonWL1/FtY5Hcq7kLVfDI+Fcy9VbZs0Bbi+SjrY1wfx9XNDQnwN+VEQMsMrMgLEPfAj4KeCbgN8HfLeq7p4t3UeHrFVXVgcEl3bQvX2ih/EtjIZMXnkNGczcVKPbd5GVvhscGkP41E30tV1Y7RLcuEZ0566bSc/C0yHNReWvmE2p21qtmK5IzYzgY+dRM+htxaNBpopHIUvbPqjNue6IF6HxzhIy6McBGDsQgUynbrYmK9zvuRgw08gFFTNmrpmFk6PF9NyTwDmjNaeenmvMBuGKCUzOFd30ey5OznicLv9J5ZOAtisdFDBT5wqhkykSmJmhrmpglHmmqopJttmE3PcExcFTUUakMODyGMi8hoKaQVwrHoUyS+u5jBeSl2tx4Jvl1qrMoDfowSGVmFNPz6VnUep567HkFL0E6+P5JO7SvnPFPGtmlinPApd5eIxOdbPGyakTzMZnMyvLeIiUjL2gUf7e0ntswyOblUceIOh4gl9nsEj1KZAzHAGurhyswP6BC9I4mqYyUT9w7b9AZ98y3Qo4uhIyuDPl8A1rdD46Itwdz8qz2L96BEvaFmYZYLrXc3sedZhDTy9G3/TBQyyKPthFNlbp3rjh2rdr6/D0dTQU7EoHMVPMKCKcCuPtLlbiVSgBTFeU3a+/ia4YLn/PZ4CaSYhinekr+mz9VDFRlvteI9Mmj1ZcqyYF23Kt6782ybThWkjuIo2h2ho2bgHvxxk2NnD3+f3A3wY+qKqfARCRLZxh4+cvklEjRfxszaUdEMEeH4PEOqAKCnqYN1QkM45mxQW6EyA4jLc4GmVmKrMuxhXIzi77Beq5J52AWhV9jDxq8ah5FDCHtfFcdsRTxBVSrkIMAjiauOMvv+qewc42XLsGr7ya1sL2459Bru4gl3cgDNz2hG95ET78iXRGPGdUqnS7Vz+PNlwhX+kmv4siDTPkRZlKrpmGotbIlsiUOitzcKVdmdXhIlnF69DGYFYMLqilB+JLsz6P4uDJjTi1/D3JovhYKmTyeXhVp8y1wpU5zaNmwFlEOjjMdqpacC2l06LM0sCkNbjoeprUC5WDmoxu5t7vkoxLKGf7qqqvMrMNrQZgxdm8NgOw4qRAIc2yjL9OzA/k5h8I2lyZaQuuVfVmdR7jYXmpZREXXU9LyBhOw2tX0MEABl3seh9jj52nkMDwmQ3UCN0HIwavWkZrhr039LBduP3Fz7L20U2u/d0P17ZXSf3ctKStZPzNnKsbYGWX79W28ZL57pWhmSun5ZrhUamrLcqsAi319Hz3TTPQB7tuibgJEFUIDUwsKkL0hltOJnLt2XDTYAPJbdZz/JR78YPbw3R3pcrBtxIHy9Rag4MLoqnlSV8yY410vOeRiQ0RVZOtSR5tuKqq37M3syQLqeDa1oM0HrPWcSXherZ90yeup21NMH8N+DvAPwd+Gvgg8KuB30XeODLf23zOUIoQD7PBTqJHvkj1CqpC6sFaqKwTGbQmun+mw1oZqb6BR8LTJNtBFPSwFQ9zdjzSgctj4FEHVcGqafU59ygOtIHg6hWnP6/chuMhai1iAuedkYFMI9fxMQYNA1hfgTAkW4jFXW98kNw0WvFks0xuBrTi+fki4pdk2mxLOC/XOh4VaF1mDZhTT8/17j3qcalMfyezc5lC93kw5FH2csi5T3oGZMW8qwxbtm4Q53PbrBnEVV3nczEtd55blFnm8GldXavKbDKeUoeFrE8TjMapV5BOXTnI7hFY65adKEiyHAiQxCth5K6ZPLWF16lXCoP0FgOf0ivgu6SoQ02zxgVjTpPXpTedFjxyv6v6+C141MlMz1ZPz3V9miIekEinCysrru155mZ6WgQmGz20E7hlU4OuK8f4Vbz/9i7GCDqxTrimbdXsoKdCJp0w8LWtyeCpZvCV2Heb8qht40/JNbUzSzPX9N4aeLRo7lO01dPzjJIxPJ5sCvp9VMGKzGTiv0E8tpoM3DI+qzN7su26v4PPHKXLL2dedoWsMgYH7y4hmpGxHpmMUSMZ7xVlvJ6bhYecDzDrV4CsjG8CIfXcVD/XHI/iOMuTR86D1COT3mtDc3TR2vxWHhuq+r+IyPuAHeDHgDHwLcCfBT4kIn8z/n6hUeoUe4Wqr6mcIcm5BxfzSDr51Tzm7tCgjTKVPE7ZocnzaJY5Mx41UGCi9W6rFwnFgFjS6biKMpoSRRYJQheDYxzlGmpVJVhbSYvPBIZoPM0EJ6Ncede53ScyhfXVWRf56iUCJh1ked3utd41f94lAr6o1c6wNtsdRgJxgSwzaOZB/v7alFkF5tTTJ24Vr0Pd+2t3dwl2dpCVVdh1Uf0xLhCLlYhAQszekOjSKnbQgb1j6Heh34GjbLyO6jx8x+tmURplKuRbn2vFtQWPFgPGWrTIo3HAyGLVpzmoEr36OmZnG3vnLubKJfSlh0j3Bej1iEJxu58J2A5EPcGGMFlzbv+60ePoPU+z9h8+dbpnVTWD1mJmrZWLch2yMqfN7zSYl4fn8oten1YNWmSljxiDFXFLUAEzjdwgcrPrAmFHTt4aSIohGoAKDH5hrxyUNM2k3A8oLzUqt605FNpBbwwVWx/LxcejHAOr3A/wesLVcNWWXGvd9wtcNcu1QXcXsT4teU7GRwsPhmLBlJarZUfkcYGe9ZI2H9fSXJfvGfr0LOGRnKqRaeUdWrVUsMi1UKzpvSaenicosywumo62DnOqqu8vHPpWEflHwJ8C/gDw24G/yqNp4h4L0sprPIFeF+12kfGkunOcVJhG0PHIRU03Jp4xdwFEZTTKVXil2b3iwBDKlXtxQFbika94K12cTsODc8LDUx51M+7JRdE5sSSeCRKDhrfxmImcIuFZA06LF7oolKmwK68/GcHqPE98YTPXevXyNM7NBvDKtBZKTyug+wfYMMQeHUO/hxkM0I01pjpk+tYbrHziARIGmEkEU2W6PXA7UVxfpfOTP59PLFv8j2qA1SaPi8Tj1FwXS0+zxkoTGOxkgn39NgD29h1QCPcO0e0OUddg13uAMll3cQwmW27wKNYV5fTSKtIL0eHMQJSLh5KZzc62bTkexuS2dp2lU+BaNPaq5i4pyXgGbXU8qnar8HJNE3QESuXawKMYM8YXi2aebTQXQU/FSG6XvdyAJL01SU7ORtTZ69PR/qxtyjlEmrxBf95dQlJ9rpGpGqBlrznZbiWZ/mgVj8z9pd/rBqUVPHJcW5RZQs4Yg9+Na1YYF11Pl1h0XCwdPRVTVd1V1T+C2xHlp4A/H59652mJPXYkFb1CdPsOdjiC4ajekrXSgxefcbOJ44nbpeL4mOjV1931mV1V6lA0DuRP5v5UJECj0Kl5pDJPmEdSHlXGlQpaVqXVh/PukpqZGUjd0+P4GBYTd4Qi5w0RSKHxBjscp66fNjbKJWWc8wKJ3TJLSwSSdaRC+im5u0e2fH3BlpCTiQqtvs7SFcErk13PWsVDraausDNX/hqukUeP4uOVPLLrEwVvOgnXKvfE7G3PoafnFj52pXvf24PRCOl0CLc2kF6H6B3PudnwdRcIN5xYTKRor0N0aRV6nXR2craEb5auKexm4Svv8tK54iAgn2Yx3WIes+M1PDxL8rL5tuaa5VG1zK+Oazr+ma/MilgUPU0ROAMFIrPgtQl6zidaA+elocw+xbbZBoo1rscw3ey5g52O+xuGs9Fk2oYV6gnfBErR7l/jgeRbrlSXRxuZqnqz1hPKc3+n5VFVZnVYOD1dYiHRVk8vEvzjplJl1niden6U066pizxZlT3zfXVRZRaVx9p4qxeItMijWaY2i/jsScqsKH2R6tIzMcGo6kdV9euBrwU+DPwNEfmXIvL8WaT/OJCLS2Gtm7GZTPIdxUKsB/PC05iNNczaKgB6dIzeuw/Tqbve2pad62yHtSI+Rg2PbJyOSpmz4hG04GH88ifjUdGBr+HhQ4Rp9SF2SdXzGnV6NvmSIrp923kJdTtu3dzRMXp8jJgAc+Xy7FIR54GUpGOAwDD+ojdm5yeQ1RXohJUGqjQoUZJOnYyvntOWMoldpi6PQpolGVuTR5Gr92QiU51H7ngN1zYNyBx6em7hb5/jo71e/rcIafHHhinbcVtpRqG4tbchTHtOJtpezV1/loOnEw3iWsj4BqknCch42oHvSQecPsyhp+fbUBwGyM0bhDevE968jty4nq4BZ3WAedsbkeduMnrmMpPNHtFWl2kXbEcwU5whQwBRDp9Vjp5WJk+vcfsb3om9tk349C1kcwO5eYPg6qwu9nnKtA5CHF/f5LlQGyixiUdmouekPGplCjyKnqDAzI2/hmsTLn592uaGa2Sqnt+JuDxmXAiSZ4OLraPVntfR8RBBMaozmaSdj23J4UiRuMpJ4hBJHBf4+Kk+dAwEJo0TUzIoR5kJrKpYPfEklxh/XZR4fSeTXH5v9cyEHp62M8mjpk60KY+yN1qOqwgiFbunyUy2aUKvqp9eKrMW9oiLVJeeKQtV/QHgXcAfAr4Et4vKhYAmvmJNHUURJDFkPNhzAcaMgW7Hzfas9CuvrzqWt/TN32F9JDM154VHxYvZZrCRnqedpfG8WBsboQVj0GSKffll7P0H6SG7dwCAGQzSY+YNz6FPXU9/R4Fw/PQa01vbaWc+vH4Fc/kKrK4hgb88skE7G2d4fTLFSzyGh7ZBw5p4pI1AGx5Z+Yrfvuta8WgToGmR9LQwaEFBVlcJb1xH1tbSxjvY3EAV7M7ABWK0yvjyCtPtLoc3BhzfWOX+561w780h00t9jn/F24kurc3y0Fl+zYOn8jPIRR2v0LV2g7gaHp7y8M4IecrMywPPoG8Ork1l1uxZNJeenmtDsbl8yS0b7fWg10NsNIs98OIzIML02WtIGKA9g+0EYATbdWU0Xnedw+PLioYgVoh6AcZCZ30TgGBn28VDGI7qAxRmJyiq6rzk+hoUvdRKyHTgvXVS8r7W8CgZHE7CNTuQqOVRw7U2+Ytfnxa9/5LlSaLWfc/2tZK/k3SfXay6QWNyNtmCNxqEbqcKqoMQZ70MfV6ZSR713pB480jI2sygyusNGeeRvBvlANIzmSL/HNd0EOjv52dlqnikHqQ+rtkyk3yZlTxSC2irpxcJsrnhym1vH7UWnVroGESV4JOvgSpRP8QqdPecHitg4qIKjpxuPvxvb7pJoW6AruXHVtGz1+LMyAQY9TWK8Z8keKhPJKvDVW1r3QRYhkdV25yTyehSiWv8TqXewCUeGdmKerNxQq9YZgvWNz1z84qqRqr6vwFvAv7uWaf/qJDbeip3XHPfg6uXXUdlpY++/Dp8+hVMb4Xw2lXCG9eQ7e28O6tPYeo6rE2zHzUyVfKPnUe2sT0tj6oZ0jnLw2JafS4sKlzkc+g6l2trwIaCimA7sdL3e+4xhEHFaH6Jx4E59PR8z4QXBy0ibhttQMdj11nd3IAgxPZDpqux/sWqN9roIkYYXjFMBgEmgqgbL0PZP87kQXXjXeJRXU80DvSa0IoH1YO4DFev4SPLI8mranDcxLfmesdj8evTpIhMt5s7rlM7200q/iudwLniAsS7daWDl9j4K914K+JIMUaQiZ15fsSyRm3aOfZ5OyYd2cQ7zLdcKe1c6+xYFiYw5aj7BX1wO5f5eaTGBCMZHh6vy0LnuhS9P8M1CQBYWuKV4+EfkJhAKrkONlbK1xRw0fW0hDAExE1cWEVUkTjYb7TeA4HO/ZEbKCZOtxY6h+6BdQ7dsd0vv+qCihrBrvedjq6v5rJSKrbPzAvVDoqqJqZKaTTk0ehJ1sAjOV+bTFMaNFeNbT0zi1goHd3ccAbjTgdVZTwdM728yiSawqt3kI+/7ArSCKPLHQ5udgmGEI5dX368oUQhEEZEV4WDX/kcx1/6BkbPX4FAUCNEz1xF3/Q0dIL8eKPNsoqmNr6pH1BlMNDC9waZOmOuN80ij+J3X96teLTT14tUl87NQkS+V0S+oElOVe+r6h8Ukb6I/BER+b0no/gY0WCNo9tFej0QQYdDAMxK3Lga4zpCUQRF63RuJu6Ug8YWMyiVWZwljyo8Ch6npKoKE2tafS4EEmtrgm4Xc/MmweWd9FCwtQlAtO92ndC1FcbXNom2euy9ZZ2Hb1nj8MUVDm4YmEbwhW9Fnr2B3dlE17pwsF/aISTBPO7QlTPpBZk649apZtKTw1U8Cvp6Enfotm7ZTbo+p56e75nw4uApM5Ml6mZoTDxw1MCUtj4zxg0UoyDuoNvZ4EcmNpMHM+MFTYMnf8wJY6oHT7nZDJ3JF7kWO8W123EneVQMOLWGhxjSvHwDzjYD3+JgtFhm/dX8zFgRC1Gf+sf8/mNn1lSeLqGLZG6ev3tx9ne3EHqaRRhirl5Bui5uS/TgIQByOEYFJlt9bCdgutF3XhoiTHqCDSAYZaoFUSZXAg5+yXUmz2xz+KUvQDeENz6bZiW9LubSJWR9rb7PeVaPra3x+FGm/zh4eNBWT887kvYkuHIZMQYT66kSpQGXefm2K764nzTd6hINYg+3yJlAx9uuTQp6FjEwftcVomub6FrfGZ1FsG9+2hmO4zyy8LbPKck815mMJzZVsX2uiV/lXYZ/kphfmWtOFPNLmmV8PKpihyW4aHVp611RMvgM8JMi8jPAPwB+HPhZVU1DgIvITeCLgV8D/HrgZeB3nZrtI0Zt5O6ko5j0c3V2TdKfNSJEZGZfkuOZqOFV0ZSzg6pWPIqRzLN5iEG1PqJ6JQ+362Izj4pjeR75bUlPzMM086iDc6M6Hy/cqeFpVIOrV+L1jCNXaa2sQK+HRpGL+QJE73oBjHC83cH2DBrAcT8AVfoPnX+qXN4Bq+jte85AV0WhGOG8gqdQP8Mhsb99k4wmfoqlc3nDxYlm23WWR9NMehWPNmgzk75QerooqPNs+BzFIuhpYrC00wgJXTdIiGewk7YmXnpqpxa6Qa4+02xCkmnDBCzqjHDFtc9pJh73/0zCSb1WWoZQdLvXsiE1dakvpOmV8fBIZLO7m1W53cOMa5lHxtgbJ+pbqpAuQyjyyKZTweN4f+i9ZnYrc+nppoi8F/i+82osDp66iXQ6REdHMBrDyG19LVaZroZgDJOnN53aTS10DdoRRpsGQYgGru8k/Qj6yu5XPYV9IYShhS98m3v2gYHIukmSwSp2bx+ODt1SAh8q+qPeerNwLNvHq0LjtrKFdCr7hgWjcyXXiv5Enoe/X9O0ZWwVFqE+XWKxcdF0dG6mqvoHgLcB/xH408B/AoYicl9EXhWRIfBZ4J8Bb8fF23iXqv7HsyL9qKBVnY3cserfJwk+l14zN49COr7lG0WuNUs8vPExThLgrrgO3Mdj3jgdLXg0IUJafbgoLv5krcTuNTaicYc0ngFPdj0BpBN33uPAjBYIjCCFXfoAiKK0zL0z6S1nhVVrrN81s9NZq3rlTHriKh2Xic8d2iS7wnjKrMjDO6OfSad2Rj/hrDP5Mldt1dGZQ0/PNXKDlsiCaqbv6E5oYty0ii0OehL9U4kHnJmBXVy+s3XRMku7avAk9eu8m9ZOw+xZn3adtz3VOm+auWZmUmvXm1e0V8OjEU1YGD29d9/d/3TqdpfqdGZxBT79CqgS3t51gcAnCpHT3qTeDI9d2fUeurpmuqpozxL1A/besooC40t95xy2NpjVmYUlMFnkjLVeAeqNbfH52tqmrLKVMnVClVwzxpc2XGtRkUejcZ259PRce8CBvw2T2cnc31xRFQKw55rAwnX48igFniofL8r4vBPrZKra51oeLWR8O1KdFdeiPrbhWoVFqEuLyLUrSVuTlEsupoXG1UBx3JJco27iCWd4zoqop5xr4/pps8xJAnM/mviC848nffd3Eh4+XKQ2/yQeG6jqx4E/ICL/D+BLgfcAN4E+cA+3M8qPqeqnz4ro40Dp2RZ/TybodOoGif0+jIZEBwcEOzvu5bTqdpPod2E0RjshMpnGs0Myk/FmPgcPz7E2wTRzMq14+F+aU/OYN05HGx41UJgnqM2uqn7LfDk8ZqT1bnW5aEm2JFLrKeFJ0vvbd3DeILRla6Evj/l1QD03e9qtwkrnPERavb/etObS0/OP7IBEFfvgAcH2NmZlBTuZEO3uEq6vw3CCiRQbgDmIiNY7GIUI6OwrxztC1BXGW0rvAYze/QL9n/yYi3M0GqFh4Orkw4oZ3GQQJ9WPotHzh4x+VMmccIBWKVPJo0Im+a2ZPKpk6ng03Mci6amORujt20QjF4bfdDupwY37D7FqYfeArj6Lrq0R9QzRTh9rlfGGwXZgugJRVwhkgt22DPtC57Ued96zgZmEjK+usPFvP4Lc2YO1VYKNDVQt+vrtnFdHfsYX72z2XLPC2jyTnniuVM5oV+hhIw/Nz2y34lqcCS/mPWe9ukh6usTiYiH01BjMs88QvfRK3NwrNl6u3zFdeO2A0U6f6Ze/g/AnPkR4bJmKhUgJJjDaEKZhvIp/ChJarl7a5+HhCkdvhOlGQKezyu7nv53L/+gXGF0K6e5ahl/xVro/8ym6dMFaotduV08+S9oVKfdHzzKuX1xvVS7BrjH6qmeSpJbHScZ6Hh7NGzBcLB09kWEjgaqOgR+NPxcbVR3J3HElev02ZmMDhkP02g566yrcfgj3dtFBD3PjCvbaG9DXbhO9+Sm6P/0Jgl6f6OEeHB+fDY+aTu+ZYaF4XCw3qiYUl/fY0Zhg0CfqdNzs9WTsIpJnvAvk4QFc3UKOIqQXYESYWIsEbjvNYALWCAbQwYqLGWNtqVOcxIqoMmClWwxWVe7EHdisq7NXJt8RtkUe6uGRSVNSrq4h83bgRXKuzn6uBR7FCOeKn0cDVz8WS09TxGWve/tE0wg9OkoHOpPJ0G2xObaE04hgbDnc7KAGojVh0nPlF20K+2vQuwvRrcuYm/tI2GW63WWys4o82Kf7wU/nXabbDOKyg6mTDuKgnTt0pjxaDeJqBpxed+jsQNY3qC2mWzHw/ZzT0+EI0uUnhff74R4omOEEXVFs7DEjQNRzX7QDmPh4qBAK2gWsML4W70oVTSCKkCBA+j0YjdySUWZL/rJL/Ny58nLSvEx+SaBvWWuVTBbFY6U8PPVXHY+0DjZm5pVV5OFb1lpcwisy8+RK05xnGepi6Wn0cBeztYkdj92BIEjHRmYUYXsBchy53SfGFmMt2gvo3B8z3OkiE6erNnQ6ZwM43rT0xvDgjQFbH5kyfOdNej/3CuNLA4wNkAMDq6uwfwA3rsBLr6f6mG+fqz3dqo5Zz0Cx5HGXSbdyuVIdD8/s+8m4ZnhE5TTbcvXj4uupdEIkDAhuXAMR7K6rN+mEGBOiwwl03W5m+tbn3VIBExdgBFEXFydmx3lorl0+xIiy0h2zNwg4fmrKeDRAImX45W8EEaK+QTBEb34K+ezBzNO9xuCvxWO+3ycZ02QnFZryOCuZOq5199AmD89FF0lHzx1TEXmDiPwdEfmAiEQi8iMtrnlORNTz+e62+RqpcJkvBmGJLDYJ2vTsDRj0URuhx8fu7+YAuh2idzwH3Q7h1UtIt5sG0gH8rvvz8sjff/zXn6Yvz0fKIxtA59Q8/G5/tQF0PLBIq8+FQbahvnMbOxyho5Hr0Y7GzsV6Mkl7uOa/fhKGU/qvD+k+nNI5sKy8PkURHr7YI+oIB88MiDoGfeoyenk9r1CZPOtcgKvc+PIy5XuoTAfK1mutkUnPebIojvFaca3hUZSRGq4tW8tF0FMfu3QXiaOj3G9Q6IUIEEySoDriDHShoEG8p0IyeIzTl7VVtwRrfeC2geuE6ZKsYp51x7J1z2N1hy7uIvE43KGlWaatC/Ucenq+l/bhGZAYg2xuugNXL8e7owhMI2wgRHEHORjFOyBMAAu2G7/jxiKbIxTl4NkINcruu3aYXO4zur7K8bUethcwetM1Z2fa2nSDAd/AaI7Bk88d+kSDuIzx9kQDTi2n04ZH5RKvTJrzxNaCxahPE+iDh+jde3DkJsiSAOHa7xCMLWY4RUYRneGUzmFEd3dKf3dC/+4UG1i3laax0LOYQJkMDAdPKce3hIdv7XJ4I2T0rqcYfcEzDJ+7xOjpdczaKubyZXjmOjx9fbZzSrYuq3KFy8n4bigv430MmjnXNIirmwSbh6tvu+uz4lqBC6+j4lpm6bkldvrgIagSbG2BMdh+mN6B9F1w6vG6m1efDuKdwEI3yQYwuHwEAsNxBwTMYYgEglhBV3u5rLt7Y5f/0ZHrA3gM/rm+me/5ZJ9d7X3W6HJWrCqP4jvRIFPJ1dfX9HKt0OUmrh5cpLr0VB4bjwhvB74O+EmgeiGqH38U+A+Z33fbXmj1BB2JT78Kt67CoWtoxATI7hFsDjDHU2w/YLyxQmgVu7WG9kNk9xB2NuGV27N0sx2Ak/DwdWhq1opXHTszHpnDp+dxeuu4KkxsUCtz0ZAL7GoV+/rrObdmPTxEj4/S32It3bsHaL/Hyu0xdrXLpCeMLNie4fBGz81CXl6BkUV2NuncP8BOy0FEs8FcSwFmPbOGJwpCG5SD0JZm9DIyxQCzSYOQnfVrw8MYyXWoi79ruWrme6GxKPHzYFH01NdGVs6AjSdw5wFsbcDRCO13CY6mTAchMrLu+XWUSBQRZe85Zf0Twv13DNj88CFHl0NsDzq9gOM3XKH7kdeZvPEGnY+84oLhPtxzeVTxyARofKyzhoXAkHPPGp6kXvQMDtsMOEu85tPTC7O0L/ke3LiK9HrYnQ3Ydh8ZRXA8JHp6HQVsTwjHEPXARLgB45oFlO76FNlQNBSOQpisCvqmW+x/4VW6RwGIYe2VDWwnoDs2BDbAiqQTJimnug548XubeztLnAceDR3yRalPs7D7B84Ts9uDbhcEdOC6yWYSxwqaahoLS4YWBcZbzug7vTxBBKKxG0wGCON1QGG81cFEMH36ituhYhS5MjYCly45ApN4jwBlFjuqysMrlkH9gbmz7TrUy7jv+GUyXmpV70wtVynI+OrARCYeUDYtE5vHuLEIeppOQMYD28Q/K/UaFnGbK2S9vuJYWZqxNRkRLDozwsdz7+ncUaJT0WxcbxIZq/Ez8PAzkra5pc0IEh3LPDMTSK6NzuqYFo8leXj6rHX9wKxHW1p0mtf5yo0TcmkW+qwJ94yRpK7vXOLhwUXT0fNo2Pg+Vf1eABH5p8DlOa79iKr+5IlybbIGe2Tk9n2489CdCAOCwSocDJH1FYKJAha7scJ4pUswtWAt5nDsAt7cfZDrcJ+GxyPBAvFwEX3PhyXxrFAXtDVBOvjZ3oQHu9hO4BplccEWbQDTHsgYRlvQ24XRuhAqyCBEb6wTvLbH+Oltup+4h2xvwO4+rA7iqOzjdkGUThIM17PU5cyDKNWVme+3Z2Do0m02CLYJzrSIelqJpKNybxce7NF5/lkkUqarPcJjixCBCSFSxpfABopuKfuXlOlAmHbXOXhxAEEAFgaDbdRuoTcuYTdXCQYDAu3A+ir68c+cCdfS93llTotHwcMn0zRgXGQ97fXcrKOIM7aJuJluEaZbfRe4VkiD2E3ilSbT6xMwEAQWY5TIQtRxPUtr3K4UxnTRDgRDxfZDmFgCDUHAHhyUuVQ9A4kfUcPzrRoIZp9v5RK5rA6cYAY6z6M5jzZcfYMEavrji6Cn6VbSMdwuchbpdpHAYJN1UcR/koFRJvj3JFA0HpPoIB5wRm77aatKGA8GJXIJhbj+gRlGbiAXGDf4AbdsK+FRXJ5XeD5NS/hUtV5G8kZh9ciUrtGyLrWKB2PyZVZc+poMEpP4DCUe2SWrhXer0kskzf7i6+kSi42LpqPnzrCh2rQB1KND47rn4jEFiXeikMGKs4IFJt2JIvkbxImLgoQBOp7OLN+edOfmQdGyXbEtVlamaq1qXafnrHi0CYA2L48GnBcXqbNCK5dcBXnmBrKzhb1+CbsxcJ3oXoAKPHxLyGQVJIKoL4w3AQkIxobw2WuoXqV3+5jp1oDNjdfp0oPjIfR7yHiMfvgTrWd4i7x8XCvvL+5U1MlU8cgbWNqVWe1v3yXZGsvSyLUOc+jp+d6ecI6BkXR7SGRd47niluxN+24WZngNt2DSgAau8zzpu4Gi9kOwEA6BwM3m2C23jjc0Xfcs7j+c5XOBB3FemUoS8d/Gga+faxAbi+pw0evTdCWPZzAlIrmiE+N+J7v5JO7ImknIGLfVu6uqkllLyU6axTtMzQZPGqeVDkYzv6E8a5gOuDSjJqeeNZTcdutzzRoWy8g3a5iVKc4a1s1eZu+5Yqa1v9qD3dIlOVx0PaUwKM7HNkmPli8pvNbp2FzKzWkpRoqnkikeKV+T6Lt6ZSrjsNTw8MaDKfLI/s7dZAMPX781W0FnecT3Verbeu7HR1aMLHx9usTi4yLp6LmLsXFK/L04LserIvJXRGRlnotPtEY7t145/ls4kFvHXdj+Ml3XfVoenrXiRT30yhR+Zw+faB24KZdHiUeLNd7z8qiD4iL6tvlcBFTef7bMBBd3YHsTRNAdN/uonQBEGO4I0YqgAlHfXavxUnJRF98AY5jurIJAR/ou0SSw6O4BpQfr5Vp1Yr77OS3alVkLHm04VQwovWt3C5fNoafnenvCuWICSdaVNX+NivtAWcZbnnV1TVHek26JqycP3xbICdIOdEkmE8i3agvks4qjFM8qenlkrym0QQm6/Q51WIj6dB7jVZ1sbTrVVtIWDlwlGe8lpSy08lTziZaYm7sW/vqSrDBM1+XRYCxeCD1dYuHRVk/PM8retIXjWvaGTSc3c/ViQaZQA2jGZpWcsRkZW1Fj+ALVlvJUv3zpGvEcI7+ssyqOXE6mYreSbBmcOjZRyqd4P7bynA8XrS49lWFDRD4hIp9Xce4dIvKJ06Q/B0bA3wJ+N/BVwN8Bfh9QGTxURL5FRN4vIu+f4NzrauNBVClzco24iOmQ0eU05kRWURNrcXwu+ZtNs06ZW71UzfExql7us4zTURWccW4eJ1gHXoRV0+pz3uDT06oBSWnwlLMOJcdnRq/iAM03rq8cxKmmD6lu8CQtgtBWDThlzgFnmYfn/mvLzF8pZ8ugasCZvb+qAWcbvV0cPW0eDWYlyl49px19tU+n2JWq++k7NO+As7Joarl66tKTFFELsm06OhdRT7M6Oo7r0mSXp1RG7SxUUfzFiiBGCMZTJ29nZSSxN4E9xHlkqlsjbmTWJbeB8/WYBjjPo47r5KtxwXEBNAzdevRkxlk8bWO8hnxGtvysbOZ+fMsDENeeSpxH5S5P8bXikUmWEOR41HBVTbjms7LRjIdGHp2Lj1dxPT6o2N45m8dF11NbvEdfPXLKurKNoepECc1b9zaffGR1byvrZZt0fJefTX163pDV09HUBftMlujJ5gZiDNHuHhDvKhXXTRo6mfAgQoDwUMEqZjorquF9F2B0rT8kEEU3piiK9sD2nNBkAAiMLvddmptrbhLECHTixQhBEMd5mfFOvdjy95I/ENdZeaHMuVJh5K/xe8xT4lHMtrRsScv98tqJ3RY8inVxsQ2swkWqS0/L4jmgV3GuDzx7yvRbQVVfVdXfr6rvU9UfUdU/DfwR4NeKyOdXXPNeVX23qr67k9xC3bNtqJv08AiiCKYWOR6juL3t3V/n+m9Dgw0FwhB70wVjkjgAFEHgZsIBCWtWCFV2irP31kamQuiMxhNnyuO07bYKUzWtPpyzKP5ePa2KOZG1SleUa84a3GJKMO3A+66pqDy9PIpZzRsfo8rKnj/YyONEZZbpT1fG+cg1FM0xRbz5zKen5wpFPbU1AxLVTAMugLUz42USwHPiHB/DY5DINVSp7sW3P5U4SG0Ye/pmAqLb0G2hYnsdCA0EpjyTEXcakobdDeLKzzdrDGwccKaDuPx7YhMZyRhqSwPO5jJLBom5dHw8mN1bFtbavKGtOOAUGB6OqMNF1VNvXUqmjgsDtxwi+X0wBFV00EMVgv0x4f4IIqX/2hDFxSVSILjfwajSDSLWuiMQZW3jGFDMtSEqymRbsV1l2heOroMGwu1fvIMK7H/li1gjbrefbqeyzWsTnDDtuPtksnVr3fXp91PwsDU8PHmVTyZ/qrnWYRH0NNR8/HxXrwJR5N7/3AjFfXf1CGmdYqKZmMY7xWLUrZSWWVwojbffjCSug7vGxZRRTWfCNR4w2sjVI5Kp68qGq2y9Wh3IuLrOmyWYjLt8dW+qY57rkvJAAFNR92a4VtW9Li9mMhWTbSJlrr4Z9Hz67fT0rCEi/42IfJuIfK+I/Kp5r8/Xp1031llzBgmzteWMHJe33PbDCuH9IyfTD51TYSCuLt2N6O27gOtmpICy/9oaoLywdZcwiOj0LMHlERoq+58/RlHuvxOswO6be4y3Q0a3+hy855YbR73RDT3N9aszfcjqia8/mnl2Ppm0v+IbJ+rsb5WRIFXLTBqlrq+HR5VMMw8vjZmMzLg29VGfZF16Ej09CxZVJfJu4OEZpH9S/NP47y9qIywG753kl5HUWD6sEt1/6JaD3z/g4FaHvec7TDcCRhsBo50uo0s9jm6sML7cZ/TuF5FL25jrVzHP3kLe9Dzy7C3C61eRSztli2JbHlUyvktOkEcrHtnJnNPyqHg75y2PRXHxh5rOZtEQMJ6gx27GR0ZxTJd4S83ursI0U+EDUbxdYZT0qwPXcCDC8JLbdssGoAZ0ewNNvBfmMVpk+Xm+54X8afrydDI1v9uW2Qll6njM0ym/SO5+TWg9eBqN0b09Z8i4sw+qdA7c7PjgNaW7H0fMN27XCb3ittKcbkfYQJmuwXQDbCDs33RZ3v2CASowfudT2NUeutpHr297eMR/8Uflh8IzP8lAL9uJT2RKCWTKpc0gsIFHZRyPhEfdwLeFei2SnqaGnl6fzjO30qVCkgxeRKAbgEL31QNWbx/TPZiiRjEKdsVNYuzYIbcu32etN2LQjej2InprY8J+hF6aMl2NOLgVcXzDcnhdOXgaRtd7vPZV1xk+v4G86wXMlcuwtpruGFDFFW1o97RCZp72t0YX2vBIZ0qbeCSvTlHENwiZU6UWSU8TqIIeHEIUOS+hkQtCL+N4yjuyqHX1mYaCWOjuOl3uvewa92BlDGKdDvfdoPL4KSczvOyWqI62e0QhYJXJhos+On7HLfcMNldnTpt1tinVmTG2Rqap3skNCksnM5/KBGiMc9GOR71MxpF1Ll09Kx0Vke8Qkdsi8sHC8a8RkY+IyMdE5H+O7+VfqOo3A78D+C3t2XpvALu5At3AFY8RzDvfBE9dI4qD1rtgtApGGF7uob2Awb0J3XsTuven0AVR17+0UcAbBvfY7h1zfX2fTncC14bw3JDJFcud9yjTDbj/LsPxZeGVX7bFa79ki6MvuAHvfgtsrhE8/yxmMED6yYQguUF9rnziukpPWp+lQrN2urLOa8mjtu5t4OF2+MnIV/DIxoxpwlnWpY9aT+c2bIjIHxaRz4jIZ3DF+33J78znDm5pyL+ZN/0zhBb+1iLZVqh2jXZTPAjrGggBRpdCEMH2XTBR2zXYrkFDQ7Tmoq6b9TVEBLO5jvS6SL+HWekjxsxc+E/Co0am7lguj9R3/xTlcRY8kq9z8ChCWcAOTkuq+vHPwHCMubsPKLZjILKER5atD4/RjjJdsdiuZXwpwnZhugKjTZisw+F1mKzCa18y4OBml7tfuMHRrT4Hb9lm+PYbs0C5TwJS8X1emcfNowILqacJagZPIoI9PARVzNhF4heF3mFEcBQxeHWKrEcQKsEgQvqKvTrBrkeMr1pGW5aDG5ajp2B0yfDgzcLwSsDDd6xzdHOF41/6VqbvfjPRzcvQCQo8SHmcbhBHowzMBgJSbHnnHHBWhoPJuP/Xd74quPqMHQUsmp7O2i0px7cqyuB0M3+StN03Qm7WNn1OZiaXfk+WoXTiPMMgnuEW7xK3LI/i9/x9+OV9v5tksmXTlkfadWjBtS0PX5pNmFNPz5WnZi3iIoge7AJgDscwiZCDETKJMAcjVJRoLWS41WEyMARjgQjChwGrZsK1nX02Lu/TXZtgrhyjXcvx81PGa8reCzC8DAdPG+79onWOnlnh4Qs9JquG/XffwO6sM3nbc7A+Rwi7pl54i3qnUuaM2t8UZ8Wj5YRGWz1tie8EviZHSyTAjce+Fngb8I0i8raMyJ+Iz58OxaXNnTCtDEUk72QQ131GZ9UisUwiFBqLCARGZ3Vq7MxuY0cm23EntGvcchQR6LoYUYnne5t6xFtXfQ7XvUU8gjb/O3mEenqSXVE+Afxw/P23A+8H7hRkRsCHgL97gvTPCr8x/vvTbYSrtmnMupxVucqls37TCdPX7yBXL3Ppx1/n4S+6jCVABCZrrucjE+VgU1h9Vbn3ZVfZ+MB9hs+u0tmbIusho2BA76N3kCuX0du3Uz7z8PDKzBkfo7I8ohY8rF/+ZDzSKdXWPHy4KJ3stmgTqd5FlLfI0RgRITICRpCpYqwSjkB76lw0e84oRx8Yg+0BcZrjLQBh/40DUBhd78NIkc0BphNgR7Mdfpy7vOZmjLOR+qu41kb3j88lafvKoFgeScfCiKQ61LrMsjyyv+M0S1x9PAodmxK/CiyCnnrH6IVnJ1KMVO9PJ/0UBowEuPLNDhhj19ZkDa92DEwUwgC3h7GU8irx0LKelbmW2dbJpOlldKJSZp4yK6TZyDXR30y6bXj4sAh6miB5L3U8ZvrK67C5ib13D3PzhhNQRScRgPPi2D3Cbq3Qvxcx3A7o3RVGW/DQ9hjd22B764DV7jEH4y6X1/d5cLjC6qVdDvb7BAYMyvH9HpM3TjGf7HP4+WP6H+3y8leusfkhgznsMhlcYeNHPot5+gb68c8iLz6Dfvol7PGwxDtBrh8QP+uzipNVcu/Ptr8Ft/y0z1LXV5g3CF7SDZgzvtYcerqrqt8yV+KPGaV3czx2da1CuHsMgDkYYa0yEWWyFmIDON7pO2+4ISBwpTsk7I9d4PBewHQKesl5fey+VUGFgxcCGMF4bYXJtQE2Unbf6AwZ0y95KzJV2FqDvSOX74naeEmX/lXVvdl0q9rQup1zfPXZafsjaX41bXzb9j5BSz29LCLvz/x+r6q+Nyugqj8mIs8Vrvti4GOq+gkAEflu4NeJyM8D/yvwr1X1P7cmu8TnJOaoS5+4ns5t2FDV7wW+N84Y4M+q6ifnTacKIjIAvi7+eQvYEJHESPH9qnokIh8DflRVf3d8zZ8G1oH/AOwBXwH8MeCfqerPtsq42F4mnUDPqaJM+nfqXK0kUrq7E1ZeHxPtrDBZFaYD5943WXGGjqNrBqHH7ruvEUTCdNAhmCpmFNHvhC7mRhC4uB3z8vCJtOiw5mSqyiMzYD0vPESk1jp+0fZgboN5oiVHd+9htrfg4y/BjUsYNZhI0Z0BKy/BwbNJTxSmoUUiwYYW2wE5NkzWI4IHhuOrSu++4fCKEh4A2x0efslNVt//GsPPf4rBT30Ks7GJ7h+gk8mMx6PqXNsWnevMNaeOMF3RufbyqDGQVmFR9NT3KjYaUSOYvvY6wbWrhLf3mO6sEvWdd8WkF2BuC3JjSqczZTIJMF3FTgSzFqEj44xxOyP01S7jG1PCVzs8fGvE4DOG4+tCMITBL3R58JvfxOV//FHCS5eJ7t5FLu0g+/vo0XHKca5BXHo8o2dVa8Vzhud8Ho/E4FvxTuTi7LR4N0u8FkRPE6RtyXiMnYjb0hpFe6FrW4Zj0sjgkYKxTDd6LnaBQDAFMVOONcQOlR0gNMpad4wIbA6GKAEbwRGRBlgrBKFrs8ZvGIHA0XMRMuxwd22DwR3BjCLMmwPnSfq2F5EgQDfWkOOR17DmboQzan8zbXxlOh6ZYv61PPIGmJNyrcOi6ekSi4k59PSuqr77BFncAj6b+f0S8B7gDwC/Auet9AZV/dYTpB1D0TsP4OoO9uFDzObmzGVeBBsaVyWMLdo1BJ94jejZK4xWDYG1LvbgRKEDvfswugR70x47nSlGLB0zZUoHYyKwQjiYMD3qEGyNiB52nAeHgu0o+y/C2kfg/uf32f7AkMM3bdP9+D0CjeMY7h3Wxmyr2nyhbom1b3K5TVy4NjHfKuO6+dJM2/jqXU+8fY2mGBvz1aVPXE9P4rGRQlV/52mur8BV4J8UjiW/nwc+heOd9Sn+MPBHgd8DrACfAf4S8BfmyThnpVV/w1ocdGevESOomNS9N1p3QcfoOaOGDWYzwMlSD4M7F7jEMcOpsw7byBlKinm25eF5qbLHizPT6dqw7KziWZTHY+DRaobxka1DeEKYp793dIg9PkKAzoNDgqtXsB3DZHWD/j04vqVEXSACG4J2LKzEFeOq8z6woXsmkzVXkjKByeomMt0gevoqhCEr+2D2pm753/0Hj/5e9YxkTot5edRg4fS0AqWBkVoYj2E6xYwNjCdAj8mqMN4MMCPor0yQAIy1gEEC67xfe1GchjB9agIGxremCMLuWyxiBabCaH0NiRR54RYyguDGdSQIEKvo0XENWWbPr8LQWn+zZyPTZsDZimtdPm24sjh6WjLUp7PGwKqboTbTaNYWCUShST1/ol7c1l9RVKDXnSA4L5jEvVfjQnWetq7sjEAEs8XAUxdgPBwZ1EAwBAkDmCoSuOtk79DT/uZ1Yt721y9T8OopyPgmN0r9gOxvj6FDz4Brt9+BmtcWFkdPl1hsPGI99SWuqvo3gL9xJjlYhU+8BNMIvXOPKAzg8po71+8Q9ULMOCIYRfBgj+BnP80YZe/LbhEOQ2wXzDH0j6CzD+bKiDvjNSIx9LoTrgXKy3YDG0ywGhJsRAhKZ3tIsNrjUANEnefc0aow7hjuf34fK8Lhi1cZfGyL7U84j2V++kNpkPK0MJIAs5DzOC/JENdtvgmATD0neIyyhTrQV4/mxj4Vht88V39j7QLdOlK1XPHXvT48hrr0zPT0VIYNABH57cA3As/gHNmLpF6cJz1V/RT+G8zKPFf4/d3UbO3aFlWuu3mh/LGc6y9+l+p8Hi2O+9ZNzc1Da2VcHpnOStoZm71spy+P+NTj4FEDVZja8xX5/DSo8pqp7Iwq6QXBqltOMtnoIsagRonit1aSMurMKs40ryQETbzzRDAWEHHrzXsuIFlnPwIEOT6eTeJVzLo1dWrdCTKNQCEdjw4UyyX3u0Jn2vCo6+T70IarD4ukp01lVjkw6rj1sbrhBpWjbXHR1XtTTFoPOOUMTPxb3bO2qrOBYuzEZUSwBoKpIIFgjiOCaTzQjAeMDGejoxJXr54VB3Ge97FgYGjUoVYDPU73Tmj8/tqK62OZTsOAcU493RSR9wLfd54CMqdNrHeUTqG98ry+pXZ8dqC0hCjpF2QSkkK+ubYym062bfTyKKQzZ/tb2bYW9axUIA1lZkCj7P3rrF/ShofnnosyYTc8Sz099yh6fmlkmd65i7l6GbvawxyMmKx0McMJk/WQqANmrIS7EaMNg0SCBrBLyOokoBdM2O4fcudwQH8w4viow/qVAw7vDZCdMewH6MQw6UbIax0Ono8YfNJw74sjNn9WOPxFW4QbU/qvj5k+e4n+f/6s4/La7ZYeaLPfbbwyi7uNzWQ0872Nt9wpl0fbcprFvNt4aM44PnI9fQl4OvP7KeCVR5LTZ19zf9dX0gCWyQDbdgNQxXz40wCMtkOMCNO+00ujEO67y7ef2QXgaBqyEipTK3G1JAShBYT+1hARmPQjzDhEVYlWXX/g/rvc0HbvrWuEE0F6A6Q7QY9H3s5z2t5KTf86lvEtAQVmbbhq9WRrTsaTh5Aps3oebobRwyMr4xkHpl7vCQ9bcT9Z2o+nLj0zPT2VYUNE/iTwZ4APAj8D1O8Td85RWeElnQ2tqfAkdqlWSfsFRBZCk8QURYBp/FIkMm7uMf4rQCB+l3nJEEmUscAj6QTUxseIFbguPkbycp20PGY8KhqAhAdNPNyL14ZHExbKJTV+QKUOtBE0u2bVW+OJ72s22VwdN8sjblZaxgIonTtB57o0GIy0nK7vBqrKw1dmbTrX2U56abBRvr9WXCuwKHpap4u+OCzlMvOkibd9jr/Hxor0mKR5JZmkein5BLJ5tYt9UTSglWenW72bc7wT7cqsxTshBmXWZvm4hmE+wKoPFz12QWIk8r6XJdffzPfC9TOZ8iBtdk2aWXrRTMYd89UOdS7IlTI5V+YC6RZc00FzVqaFS3WpzLI84kTncqlO06nOdzKa0IRFqU9TZOuM8QgdjbC3rqL9DhbQXojtB4yu9FEjrB5MIXLBwAXQ1YhDCZkcrfLipbsoI/bGvThpS68/BcV5cG4aJpMAGygqhum6cqwRkxuK7cJYdpDP3+TSByZEa31WXh9hegPs2gEcHJWNY3VtYPJqFEWy716TTJsJhCqZHFf/gHIerm36pFm01NOTGon/E/BGEXkeeBn4BuC3zsewHrOdOuIbX19NB+i59mpq0118opubWJwnOwYX+y2WN5sublvHgEUZRUE8XlKEeFlLMhyyoduOWJRAhEg1DWRqIifbP4h7B4dDt6wv9oZ3xMgN7jXhmvNSK0w0VLXxTZNkbbzlamQk4RpzSLlV8PAZqmnIowpz1KVPXE9P67Hxu4G/rqp/+JTpnA9UVXqFToz3muQljiLs3h7B5ib91485emadYKrOZTXCbWckEPUgHMF4y60pm65CeORm0o+eXmHwqSMO3/MMg5/6DPbWDsGrDyBwL7dOpl4elR4OxXupu1cylfoJy2PGo6Z+b8VD62XqeOTEFmut7WlmN9TGDmUaG54yZaieArXFPHKDJCduNbONpeZ3Vatar9gmPkbrWABJg1Q1IySnK7OzmhE641gw53ImPEGr9agV8r7fRfnS9d6z+XpQY8NHtoF3ec3JozRQLIm0G8SV0mlRZjVc/URqeHneM4CoIejdQtWnnkGKJr3mgyNYX8UGAWYy6whLZNNRVnhsiVYDwtcNk03L8ag707M48UAsVgNEIkQDAhOhEiIqGKOoFViZwGGHyarSORQm6wGRiePhhi6Oh17ahuHrLt5HMmLIPjqp16FUJmt0aPCU86ZTWWazc7lLfHVeSx51BpbJyNMPymW7QHqaIB6UQFwegUHXnMul9twuFMc7HeedNtHUIB/13TWTF4cgsNYbIiJMIkOyzc9KP3Jtej/CaEhkQEJFVZiuO52bXI9AYLhqCEZCZxwQrQduULqy6p71eJLnWjeDTXI/6l0CMJvBnnnneWUaii1XZj4kg70KHjkjcCWPgmdS81gxzrq1njYaiUXkHwFfiQvg+BLwp1T120Xk9wM/gFv1/h2q+nPt2LVDkb3vmSTL92b1hG/2olh5VJdLOj+Rm5io4JWdbDNSqDbL46USf98YpG5iIjk1x+SFL4823nJeT+XCvZ3EWy6LOevSJ66npzVsXALOXaf6JGh0mVf8lq1C4y5GsLv7TN/+HPQ6TDZgPIjFEjfgwO06MeqBdgS7CpMQJILQGqZv2GHlDetMtroEK+vo5iqDj97G7I+xh0fI3h5a7HwWOiJZl2N3I3kZX+ckZ8U7TXkkA02fzNw8/P31Ig+iskyO1iJ1cKrqoPKYpQR7cEiwukb3/pDgaIpd6xAewHQd6FgYG5jilqMAEne8pavo2BD0LNHIEK0rOnTlGm1bgvuGh+/aZOtndtFbV1wkf+t3tysRbCNTNxvT1IGoO9+izBranjIqhNp4bcyhp+dyJjxB06Cl+F67GROByQS6XWT3GLm0RvehRW4qjIKZAS1uqK1VTLw0Ko1pIBbUYAILNsCKdXVZT9E9gx0ETNYM3b0Ia1yMI1ZW4PAIrPUvESlyzXroxIOvVEZn1+XuNTsjVLXc6SRllqWq5Xq7xDXLw1e/izA+HpeOF7HQ9akRGKzAoO+20ZxM3Yx4v4MNBTOauuVRAt0D5XADzDhgxQ7prIyJVOgYS1csE2tY7Uw5mnbphxHTKEAR1rsj7h+tsrY+ZHd/wPZThzx4ZYvg+gTb7xLd7/HyL+9z9afGPHjzCtd/6gC5soPsH0EnREdjdH+/XT1ad69nIZOZ3HnkecyJi66nJpkJj5GPT2awnUwXPh68aT/AAsFUCQJJvYQBWHXX9gMLKBNrZrPcSTIEWFzMGBVnRzNGXFiCOJ1AXR5EghjcNt1GXHDd6TTlnkwKZHdAySJ3PwWZbF1WtYyvNDtNuQ6sjenm5eHfYU0yhrZiOjmu5Lk+zv6pqn5jxfHvB77/TDJZ4nMSZ1mXPmo9Pa1h40eBzwP+3WmJLBoS67kGlM1/sX7YjuuMRz1ABSvq6r9IGG93EIVoZxVjBfpd5ChycRGSBixJyjv6P2FPYEGxaEHEGt3HPAaj4PIOrAzc9Qq9lx/y8FddIuoIhFM0gKBv0TBCRAnEoMaikSCBEg6UsD9lOuxgjTLdFGQUsh9G9D+4wuGtVYJJwHSty8r4kM6n78VcG4xsnmNed7qaMqiOjzF7NdqUmXfCoGC8PBGP8xOg6VygPCkjELrdoHQ8QT70KvLuN7FybBheUQ6e6TLd7dHbHiFGQS2dIELVIEYxYlE1bK0d8nBvlZtXH/LK7R3Wd445PnAzmuHakNGrA1755gG3vvWYh5+/zc5/eUh0+SoSjZD7exUGqQJXzyCu1nbWYsDXJiZLnV5600kPNudfe70Hi6Snua0cA4M1BvPG58AYzMEhWMVuD4hWuqgBe2nVHesaRMAOQDuwqlNWNo5RhDA2uPWMS3etM8WidILIjf+ssLN6jAWubbuF5Vu3DhlbGKowCbvYUcC9L1gFCxoKZgLBzavocIKVA+ToCJtxqfYtV3pkW23XbcMZ62apXE+z1XbNdXW48Hpa6Dvm45NVXeI7Ien/vqb3BMRKX0vZSja3YgPvfuaP+mWKuTZWgzWz5CmnOplScsnSwWxnoplrNu0mXHg9LaBVM+IVKh6bbwxT5VxWP4NVzqMd/+qLKi9v2b5WZlLTvPuzaNP5aMfkIuno3NFARMQkH+APAb9TRP7vInI5ey4jcyFQvcZzZu2ubVCzMqoEP/oz2P1DgkPoHCmdEXSOwXZhMoCoo4y3lahjGa1bpisR00sRw2tTphsTjt4+YroW8erXWA5vWF75ZVvc/fIdjt9+nYOveSd6ZQu+5B3o1jr6RW9Dr+6UeeRupMy19M5kBpJVlXyr8shY9k/PoyKLJjfWrKy69WFtPsQu/iLya2oTfcIoNpaJq2UWpiBj+v1ZwEQBscp03TXcBO6Y6SoSOGOECVwn2YTub6c/RQSCnkUCha66XVMMRANAhMmVPoQG+p0M13w14GvoS/dTiNPRVmZ2oFnGV2ZFmVwZJmmaFjyKdFp0bubU03MLb7e6UGYmmOmEEQNhQHjzBhIERK+9hozGdF/fJzyO6D6cYrcsNgqw1u1I0e9GhKHS7USEoaXbibi0PqTbiXju2j163Ygb13dZGYzZuHTA2s4RwfYYeWHI9ErAnV96lelml+Ebdog2V7CXNir1LMfV+Js0k7m/rHwuvUyyJqjRRfUcK5WZX89yMgUevneixNXzThSxKHqaoOThooqOnNeKTibumE0+1m3/6oQBF6ARVawFG7lGa9YkxQbP2Bom8QeUUJxRomPcDHdopgjOSNcJp06+52QmA3fVtCfYQFARtBfXsWE8PxXHRpl/aVW1TNUSvrnjdJyShy/NJiyani6xmGirp5zjvmnJC+bYhVtUnRm8rFXn1WPiXZ4eHCO4STYB58merFw+du1SFJ/rGkUkiaEV10lJXuKMxc65KYnf587a0CU4HgiEAoMeUZxJOuRPxisat41SHlMkxl1HOLkuL2MT75zs9YViycoUlyyndVwmr9K28Do718Q1axMtVps2sohx3lZtAt1etDHUSTw2XIs7gwB/r0JWT5jH40eFxbXVzHF2NkPci0pkGV0JXWDQCUjHBWSKVgBxRg0MTNfcix91FXpuCUm0FqHA8NkpiLD/nKFzHDDSgMAqwVTRNz/rBqRvf8ElYKSWa2mtoq8ImgI8nbA8fCb2s+TR7OonRO0j+p5rF/8EbSJ7Fxubyeu3kfV1ZDIBazGbN7n1rw757NcOkL0QXZ0yDZyudLouCKxB6XamTMYhaytDhuOQjcEho0kHVFntTrj9cJXr77nHK//1GrtfPmXl5zscftV1um8Z0P/0EcO3XmHzBz/J5AtfpPeTv0BnbRO7t4dZcTtfRHfu1kYhr4yPkY1UXtFI5OJjnKDMfG6rtRHTk++ehqTZiWouPT238N1iq8GTtc7wlnikWRsPNHHvdzjrKM06TNkZiez32R5V2cGkEUukbqtYIhcYT8C5XQfiZuI7BhlHaGiQqW2OW1BxP6Xfj2DAWTIKP4IBZxmLoacJcoZ0q6AR+qGPoU/fhM++grm0jTFCeDDE3r2LPjzAfsW7MISoUbY/OOH4RsjdK2scfnTA9bfcZjgNWAnHdAMlstANnd6tBBNEXNyCQTji3vEqT68+5LXjdbZ7RxxMekzWQjq3LD/3mVv03jLk6D9v8dmvHbD9wTFHN9foPpyy9eENon7Iyk99DLO5hb1zD3PlErq7h0222vZ0ekuefJ46qRgkr1WZzStT7BNQ7nxrkWsNHz8WQE9rjT0t6qLct4ogtScjRtGqml3x4iRqUvZVXxX1Vd0hbw41dSIt6s1ycmnFWU6nlkhz2g6t9fTc901lYx3d20ce7KMbqyCSc3JRBJ65Dp98mf7L++w/t+NWjwqoEWxPCUZw8LFNNt75gI5YFGWlM6Iz6jHSgLXumINxl7XuiMNJl9WVMQ8nIaD0OhGjScDq5hEHuwO6Tw2JPjHg4A0Bay9NkLUVpjfX6Xx2F3vrCsHLd5D1NXT/AMg8q6Te2ViHvf3yOe/N0zg2gplM1TJ7Lw/PuZznVqE+beRKO67ZRC/SGOokRoc/y0nrwvMMpeTmWHJ7TAbkWZfM7DrC5HusKHa9j+Jm5yKFKIBAhGlqoiS1qkkIVkBFCZM1j7FMELn1jDJ1F7gBgInNmU7IjMbldYQZhVXNr2EsuYYmL0PmGmNMzprnLY+SG+ssj9y2RJkxRzbds+DRxjX1oq+1LaFkuCq7IZdkogi9/wA1gvR6hBoSHFhnMVeniAKIcemIQLczRUTZ3jgiMMrW4JhuoKyEE0Ljtt16+spDp6ovHKNRyMELiuwNmFzuM3nWbeM1+oq3ImIwT93AHE+RS5dcZiP/ev7ce1bxeL0GtMLfOiNbqzJLrq+p/GsNeT6ZGiyUnhbe+yxygx5VmE6JXnqZ4OYNgqduYe/exX7mFWRjjfC5N3L5p+D2V0aounf/eBrSCSM2BiNA6AYTusGUSKEfREyt8PTaAbujPju9IyzC3rDPlWv7vP/VZ7jy6+5y/yeu8so7AtY+BcHT19Avu8zKf73D4XueYvt9H2H8JW+i9x8+SueVh45q7SBuZqxt9OxTygHqfPpXW2b+5NsMOLPvR+PAtwKLpKeV7+9n453m4qDd8mAP7u8jvRACgwDBcYQoHG8raEDYG7u2VqBjXEKdwBmJe2ZCYBSDpRu4evXp1YeIwOWVA8AwCCdMA2UYhfR3jlEVRqsGrLD7hh6hFQhCoo0AM44wW9sIYK5cQkSw43G6jZ/3GSb1YhrUsbo80hm/pvqsblKoikcbmewsKjXxmmpw0fU07cfFSGI2qKo7N5lm6gvXH5SjKWZgIHQ77IniInoHwIEgfRhOnYtm19hSgHCIEAKS8B4iyji1MsW8wggzCaHv+qy2Z2aVUqcDcX9UYo8w3wRBej9xH7Yok8xOp389dWu2PLLXVcnU8oiDmHonSTITg1BOJ8sxuSbh+jnRPxVBNjcwly9hVTErA6K8ysze32uXmOiIyYvXCEeKTJVJD3TNMF4F04Xj4z5PhcdcX9nnMOqhKDfXdrk3XGW1M8KI5fLgkOlBQCeMCDciAmPpdCL2DlfYXDsmigzrVw94eBgy3rDc/0WGzp2Q6TPPs/V/vYJ941MEe8eYK5exoxGaBL0VXJ0/GCBXLmNjw0Zaz1W1kVrxvQIt7F219SJUGEey/Nq05y3r1Yuko3MbNlT1Tz8CHucCxVAYfiEK1rGa6Y/HqAetjG61Uu5caZB3CiaVudWme1Y8ZlAWa9s332DbBYzNeLEEktsKEjINvFW018EYIQpAO65spOuSCw2xhcNi4sY6SDrpBtzzSZ6RxjIwtgEImGmIFQCDCYGxInGUx2AUuQ5CYFCr2MmkHKzLcz91wbrcBQWDV+F3qk+FMvMa4up4eAKL5Z5FkYePawUWTU+BdoaeVEZB3FITFMRapqshSoAEEKxGgMRGAaHbmRIYMDKlF05dzMdwgghs944xolxZ2acbxzlYXRuhCNc291GEw+en6Cjg+JKhZ0MkUg5+8TMgMPrFb3YecTLzhPPOICf3M2dMmEqPOgQV/0BvrjxOyrWNUYOLr6cJ+2KdUToGBL0uqqATt1TEhgGi8R5SsZhdc5MPJozc0ipmO3Ykq3tCEdwIUzFi0Iyb4SxqvYAoUyuEIkwU1FWmBCKzCQ6AaYSEBqY2HRwatUQ1ExxofeyLpD6rq/PalJmv7q2N0+ELLqn1kzEr633YoxKLoKc+zN5dgcgih0N0fQUZTtB+h/6rBwy3t6AToB3BjJXuvmW8FdD9aJ/RpUMOxj1U9wlNRMdYxtbt1mM1YNCdsD8yhIEFCxMMm6vH7B6usDk4Yvd4hbXLRxx+dp3ppiV4YJlGIQ8/r8/Wfxly/Iueov8Tn4BL6+iDQ6ebmyvw8BCu7sDt+/n7aTM7XSeTrct8EBrrzaxM5WCxJdd5sSh6Gl69jCIE168BEKgSxQ8lbywVRu95ETVCZxwHp+2ADQUVOL4EiHC9d0g3iFCZMFHBMmFbx0Qo19cPEIG13oSpCv3VEaGxWIVLG8dYlEvXnUFCbo0hMhw/02FiOoTHAfbtz0GkBDeuIQqm2yGKDRvGGKwYgquXQQw2MBDZXCyhYlyh9P4y8eROHd8oa9TLTaZnYyCZ/EYSsV7WcvXGNzK1Xu8XTUcvxjKRxwHxrGcqBs3yzILZyKaW2tSrIBE/GkM3JIoUCQVjyUWfzoi6GT+XRcmCHgURoQRoBxcVJYgDejHrv0adEBMYZ5XWQuLp/dnUeOMbSLr7o1rGFqzSNJVHvvNz5jxiWRGpX4qiLayjFwnJTBb5Z5Hfbsq/1Kco0zKr1PXff0VsjGKmj5kME7Ilm5/mZDyZ+tKpk/FckstDy9te5QxxFYbNOoPnibcK82GB9DRrWGs0BpEZhMUzfBJNsVaxq30wwrQfYVTcfvWxhvVCRXHLS0w8aExUKYhHnB0DIjN9n9iZrk2mHWfIm5jUFTZEYq5OLtwfNnqp+QwFrTz7MlAt7iLgKTNbUWY+HhVcs9dUedT1V3twQDUWQU8fQx+tVRan5NG2anncyNeBbVjOfyeNcYsWQU/r0O1iVvrI2GJHU8zhmGj/AF69Q7hhmT5/hdGq0LNKOIRxpJjdgDU7YXX1mKOp23K4F05gqvSCiKlVep0pgSgrnTHWCsfjHuu9Y1TgyvY+xijXNvd5yBTTibCXDcOPbXF0tUfvdWX/HZuEdw+JnrlKeGffuSIP+oSfvQtPXy8ZNlJUGByq5g1LMlohoxXfK2S8OjMPjzqZirxb6um53uJ9iQXGfHXpE9fTUxk2RKRuNxQL7AI/DXy7qr5+mrweOSoeWpO7pU8mEevdHnK8OSCYwrTjZlrEAoGzotueQi/eYjOulBUIw4goMmxuHfLw4Rqrz+8z+ugGo2sQTiDcNTx8c8jWh6fsPdth4zMTpu96js5PfAgxAXRCuF+Yykgtzs1loGdcHo+UB2Xjig8XKaJvLWR2776YE6lRqehOWZARa52bamRm5R3hggmps58J4oxsmaKLVAlkZoQDsG4eMY5fEGCNm7WUACwz7xsBbGAIoigNoiRhkAZzSpG8Cxk33CbjFuozss3cqduVmV+PXDr+cs0tZZGZfJFrKwMci6OnVYa17Lmycav+PS6XjK+sfC4IdfJJ3vUiTTmUmJeEMgcqjH11ZZCWWXY2sUWZlRMqX+MzkDbhouupZuuYBFX1yDRCOsxcL6JEezOG3IlFCMC6OjPxYhNmRmEb153uuswkiEDirSFxyiIaT3DMytnGhlkCcev7xBmpsk8ipZ41LBRUJBcTyFf3kjeiVcYmktk1vrp3xqO67p2VeVV7NbumyPX4YOi9Jnf9BdfTLIrtnQSG4MplFAgOXLBG88od7PGQ8MEx0+dBA0H7AWIV4xze2NSIIIyY2gBrQwKjDLputnoldO5A2ysjRJx35Wo3IlLlxtWHADx9eRdQLl07YKJw0O0xfMFiJ4YH79p0BuQveB6ZKFG/j5mCTC3ywq3GZct1s9Ol3XdSmYxXT8VMes4gfJKZ9ByPOL9CVdqGaxVa6ukTj11QB40rupKXgc5al1mdlFR8BYtSZnYsc3k2l8xfKfwtWrZ8v+O6CC1dXczBe3+e79nf+dvxy9Qd88YeayFTJD9vHK023kZz1KVPXE9PG1lJgDcDXwk8C/Tjv18JvBV4HviTwAdF5G2nzOuRoqozl0aJ18z3KiQyIkx+5Rcg25vEHvxEHWV4KVagAEQFXYvQnsJA0a5CGNFbmxB2I65f3mVtdczNGw9Y3zomeMMR4xtjHr5tyt6bhL1nu9z5ghWGVzsc3ewx2eoSfenb0He+Ab12CekEhRvx3VzNvZ6mPDIdnpLM3DwqspjjuSgu8E2bz7lHQ/2TrlcuFsnmpvsbG0bs3iG6v49YGHwmvuYgRBXs1MQd9GK+cacbJTQ2XjNuudbbA5RfcutjCMq1Z+5jOlPYmGK2J9gu7L7JzbXf/SXbqIHx1RWijoHBCrK57r/PbHtVda8N0Jrrc+nU6FpqTPKVa5JHwrmyVcwKVoksjp5mByG+5T2QL6rioCVXVKpI6q2RvSYziqtIW3PBLPyBLTRzvOgtl3pfZp57UaZVgNlceVQEmG1TZtYv77umiYevEwQwGU1K6eTSXCA9zaGsTgDYew9cXKuVFdf3PhoS7B/n6oONT1rUwuFunygyKMI4SnYpcUJTjeMNZLIIxC1NWREXk70fjAgkYi0ccbl3gIjy1NO3AUU2pyDK8RWNA5GHDG/0UGB4xf3l1lXUGBCDhi3mreqqpIryyJ1vqoKbZDT3Zy401f8Lq6dLLBTa6un5hjL99EvYyYTok5/GjkbYn/sY3L4Hn30NPvoppn3DwU1XTw1eHmGGEf1XR3T3JgQT6N5zS5+6uy69D+1fZW/cY2hDptYwjQyIdTGKjAUsV1b26QcTrvYP2ekc0w8mXFvZo2fGfOmlT9EzY95989NcW9vjuRfu8Px7XmK8rbz8dZaoo7z6Ky8zXg84/uIXmT53lclbn2L0njdCt0NS8QXPPA293vxx/VoETC5WfPOmW1UH1k78eur1RatLT7sU5a8Afw34QlX9L8lBEflC4HuAP4Pz2PhB4C8A/+0p87swSGLym4nFduP5bcWtydW4w2yJp8bdQRe3wH1MbBHpBlOmauh1pwynBjWC6VmioWAHioyFqA/BEUR9g0zcTLhd7SIPj9FeB2noqH4uYKFcUtUzy+AxOyezu+bWTUynQzQaosNRKjLef8j+L72JsSEqrrstkaAhRFZZ6bgEN3pDAgODcIQR2Oke0w9H9M2E1SAilAnPrdyjH0Ycaw8M9HoTdic9RsOQ4/trTA1MO4J2e4TT66gK/VeHDO6MUAPsH8C0YhalYmI6G0/AN+sCszJoU2aaKbPS9ZlyLV5X3KHHy6PieBELo6e5cq2yTJW/6/6+27lnbRW9Pyb4zF0mb7lF8FCQkUFDm9abh8Mum+ExEyv0CgoytYZuYJlaSePDGJRQlCvdfe6M13nm0j0+decK00tTgj3jnmuggGG0pfR34fgLn2Lwox9DA0Gsm3kkCGE6xYs6w1ZaHqcoszZ5tbymKo/ppMGtiAXSU5rfXx2P0dt3sNMp9HqEWxvYe0fYQR8UhpcCxmsB4XTK6LJyf3+Fq9uHDKOQlc4EAUKxCJaAKf0goisTusbSNxOsCivBhKsyZT08ZmwDxtrDrL3Cz+w+zaUrhzyYDJC1KcOVVUYIdwaGlTsBo+4WOx84ZnhrwOZHDolWe/QGHWSs6NEQeelV7xrs/z97fx4/y5YVdKLftXdE5PSbz3zudO5UdWsEqgqoQmjAYhK0aRy6RVFAaMBWbNrG17a2A4o+efqeQ3erFDI0auPQbdOioKI2FCiCQIFQw62685mn35xTROy93h87IjMyMzJ/+Tvn3HvPOdQ6nzz5y4gVe+9YsWLvtdc4SQDmzmdHzr1zaAaTc+eR81/NvHqkKXWZV+Qh4tNPw8MLDzyfKpDn+KvXwTn89RuQZvDKFUqPjeFmhMYGlwhRqjRvZ9hckcyTrsXBY7hY29snemQacbm7zqlOF1XINAoJ7U0IOU3EERnlZKNLO0pBIbIhq8fTK7eJjePZ1VuIEd564jqpj1EPw4PTeAN7z1q8WA6eWyPpGfw7HwMTkuDaM6dGli6JIsz6Kv7GcAEBKnRYll6vJ869ar+K/gDx6N0qNr4b+LNVpQaAqv6SiHwX8N2q+i4R+cvAX7nLvl5XmKv5WibLfAkFjnQ6tD55k+H5NVavKtlWjGt2MDch3RJ0AH4N7HaEX3VoUzGiJA0HonSSFCNKK0o5397nIG3yxInX2Ou3+OTeaeLYceXlE+TP5fCpFgfPCJ2rMFyLiAaWzisnGK6e4tQ/fw0uPIL88iex06EpNQJL1f30ruhR0Qgu1FouNY45XRznuTC2mv2GhHmuCKqoc0A8VrJpcCEc02vs6jy2Mo7dpWMTNkEtk6EY1uIBB75BEjus84hRooYjzyzaVsjBrRjkUPGx4OPg4aStGDlYYuF4yOE3DJ9W3/vK3357B1RDOeDVFWynw6DXpf+WVfzNBr7RxxfKilwNotCMcwyeyIR8Gw2T07IZLZvRsUMSk9E0OW0zJPMR51d2+De7b+PxzR16WYIknkGzxbCfMGx45GKLgyeU9eeFwbMn8ZqRnVyldblH51O7YGP8tWtL3c8bQbPXBecIeJj4dCLv0FQOqRF9BgPwirRjTKcdFMZFVbJ8JUKjEB1CrHg/yr48il6pfkcmOPW2bFCOtUxIeLseDUlMTiyOFsrQC2dah3iExuaQzFtkxaNDi+tAmhk0U/qPdRCFfKuNOIWNVeQwgyyfSS5Xl8h4+tgMPWoS2C1Ds2rf0zi1CexEJryhJn6P2lxOQVzCw8Sn01XCNM/Jr1xFzp/Dr7cwez18UWUsils0b6bkLUN8KyfdjGnsedJVw9Veh/WukjSy0hETh2BUSfOYRpyT+UB/IyGPUSyO8609LvXWeaS1za3hCieau/TymK4mfMbTl/gXn3onyeftkP7CBrfeAWsvQ94xSK60rwiHjySsvjik91vfRedffwIuPALXbmPEInGEu3FrNlyp4mE2EzY1Oq5zceoqqy0s+z4KjZoax0T41myby451HjzofCoQhPVhIcOV1e580Fi606uhnLoqNg2Es1n4zlYiBHBR2RAkj/QAWElCO05DFR8h7JVgnEeraUPicIfBAAbPejxABKz1aHHUGOV2twORol5wpqhslYek98RhHKabQRRNGgH2D0c3KhyRDF4YhSDOJVadIrcO5077OMZY4Yi+SpQHiEfvVrHxFuDWnHM3gWeKv18EOnfZ1+sLi4TAI3BGi7YC1mBPbAIQdx1Yw3AlCk4ZZbJ0UTAF00Vh32kTh1glto5WI9S6P9feRwQe72yTWI+3QrOVkTsLJzJAGGyFMfVOh/acEwYnDDZT9ML58KL2B/VjnUeDRcy+BG8v7OP1GMcRk4Dqg/VSHglLKozK+cxfuozf3IDBpOIg3h+y9fc/wq3f/1k0bzXI1pVcLCYWWPf0hsJKK6ebJ7SjlJ6LadkcYxwew4moHzaNknE23mPfNfmaky/z0e6j3Gyu0c9jXjw8RfvMdT56+Rwrjw3Ye3md7rM58aWY/V4Dk8esP9+gd/oMJ3/gI0SHYSGbToJYB8sot8b5CI5Hs4nrj7AcVnOBzC8HqkemRHhY+LTuDhbGLIvBl9mTFfzOLgC200GbTcQ70lOhvLXPLRgwxoWFW4SoKE/csGHrtBKniMBqlGLF07YZHZsSk3M+OUDwPNW5DQhnNw/ZzRrkJ1IGAwOZkJ4I81L/bHCr7L/vERgqLjXYmx7fG4Yd6nRSzmPFeU9WgTh2nLdU8t9ULlsY511uDiub1GUypk/Dw8KnJSzckJRzaEET9T4kaFxZwRz08astooMcv2qRTLCHAltKL41oJSn7gwarjSG5l4JlhMxbjHEMnKVpM6TMUUQIR0kkx5DjaPBs4yrPD8/y9tUrfPzgHEmzh9GELI2JN3IGtxukj2TElyIOH/W0r0J/yxBHFju05Be2SF64iaytonv7y4UrVfhhVLLyOBvOkmYLcnnUjWM6pMvXrAHHU2q8eXwqIv8F8FXAaeB/VdV/dc87ybJQorJhQgWUPAslJpKIKG5hd3KSbsjnhgt5X3zT03UJ6e1Vzp3fASg2fpCr4Aku/6HChCGR8NxONns0Tc4jrT1aNuds84CNuIs2oLmSE4nj9Ml9vBX8kympT9h9i6AiiFdULD4S+ufBtQzpZ12gqS1oNTH7w/B4b96uWYCn/q5bQxeszceGozacr8M4jsGnb3pSxnkgZW3g8ndVIeoVIhuq8NXgaHmpFMsqjJIkFLnEmc0BNTa4mZHhTjFIkSx8chNRVlpzKmEc+RjFVB6mAngNhRiqHsSiIyXgSKE7r6KJMi5BPL0+2yXW52UqUlW2TtNJxEeyRWUPNbcildYkKq+BY86lbzqf3q1i4xXgm4GfqDn3LcV5gJPA7bvs6/UFvUNhc5pRxYwF+8JMIw2LAipgjZBXX1Ib+M8UL7DIuBRc2U5UlNgsk7c4H0q/OWUsKBsTmNsHRsdpSDLmQArX4kVl3l6PckW15eZep3EcBQ9SqaKFcMRtzFUY7exWNjbF6dRBZEhPxgiCj4qqIVGgtRXF2NBQcOcX1pM+IsKa7dMwObF4zsR7iMCTjZtYUWKb08Ax9BFrzQG5N6xu9AFBT6eghv5KEHroW7rnLZI6bD+r3Afj0BBYrACb/ruOHsvgLOhj0TgmNq5z+yj/WwwPA5/WkfHIBFgC0mhMhEpplqFRhHiIdwvlRibQULwHCVXYcF4QA6kzxNaRektiXCUJbiGIoBg8inI62udGvsbJZJ++28BZgRgO8gZrKz32Dto01gcM9xr4jkO84BJhcCIi7g/Jzq4RX9lDmk10MFguWVd1nzYnh8axaFZD7NcjsVgdPAx8OoLjbEiGA9yNAVGrRbQ3IIsszW3BZMrgREyzb/CnhINhAqL0iBGg00gRDcqNLDfEsaOPpUWKNZCQEYvD4jkb7SF4nkiUlgyxAtqC061DXhmeJHeGK4frgJKurJI1lKwDWdPQPwumlyBZwsqVJt6cJMlirEQ459DD7htPs2VxjgnL5M69l3wqIj8A/Fbghqq+s3L8K4C/Dljg76jqX1LVHwV+VEQ2Cd7K906xUVpiCRtG7TQB0Ks3wvlzp0J5dQHJitWvyFp78HRQILfbKUKooqeEtdYXOWCiwguzzNIWiaNpg7J4IxkUSuMBRoRIHLE4hs5CFGSEvg1CrY/BeLDDwjNTlaxtEIQo6UAaEpqKNWi/v/iWyzV2zho92trO44cqG8zBuWuDHOMl/rhu+0vy6ZuelPHT8BsXjjGXvul8ereKjT8H/D0R+U/A/wncIGiofwfwTuD3FHhfAvz8Xfb1usNSk9GMlnaJFX5CkKR+kp249E6kgGUkjfntjjOXVw/ewTiq97oEzus2juW7fLCgog2eq4VljhZWZ3HySMarcaFks2WhFCmz+4/7SAolmxVXKOEcggE8psDLaVAq4gwy2mB6xlpfozbYJ4sxkWVjSbVUaiyjuS7ua+bY1O+5NcEn6DGp2BzTrGKNn6OIW8oav2yy04cNajYg0wmw7OmTSKtNfuVq4AUgv72NNBLap9dp/cwhr3zNKv4gQSUNdeYjpZ/HpM7QTnL2VTjTdhzmTTaiHlnB0E0TLOFbUY9EMjpmyNsb1/j44Cxvb17i6mCTl7JToPDiwWlWGgNeuHyazuaAg6sr9FqCdC07p9rc/uwGZ3+mQ7rVZPWnXqJBEz04wG3vjO61VulaocFM3hZm6XM0zY7AWeDFVFUG1nkxSfDrXQi/Ufh05jxAHI8sEdqMAeifCq7SbGWj6dSrBE+iOPBzVFi/Ywm1zAVf8CasRb2wYTQDjECMpyUhPwcmKJx3XAcjMPAx1iqZM2gzeHtkrdCp+pCHK8oUTQyml2NtHCx8vf7sfc675yWUBsvSbK479FHvxFFjXUJRfI/59IeA/wX44fEQxAL/K/ClwCXgP4rIP1XVjxUo/1Nx/o7ATFnCy7VFCVZlH1WSxBd5f0yrEazeGq53lQY06ECwRalsJVisqzjWBEKX674VP1rjRzgSOhA8RiD1EbZwYlMX3o1goNORsc3nRVUfwJZGK8Iz0tyF+8nHE091rS6/563xQV6Zva5Ks0DPSe/AWpyZNX55eWQiP1dxzBjzG3M+/TQ8VPAg8ehdKTZU9UdE5BYhSeifAGIgA34R+DJV/dcF6h/lyFf7TYYaIW+m/JRMWbQkuEuWOOFvP9pAkeVII0YOc2QjxjjItHChKgXTDMQKzoUYXe9NKOsm4NQQiSf1QttC26ZYPLEVtEiKYCKP5haPDwtJErL2m3jchV9tYfa7YeK2wcxZt+mdTho27RpaSw8/nx5a460hMunFcS/GcZQgrkgR9/yQwGg/v2h3dLSSbcwhx+l6tt3ZVu6uj3k9L/p5x+1Uhb5lSDZzdQ097nBsDxufLmsBo5EgzVZAyyuJjgXYCBVz0jWDaxSH42KDGAVcI4JTgxFfuKHCShw8P9aiHkagLRmJ5FjxnLYHALTMkIyIzFga1jNwEavNAarQ2QweRumqB2/J8gjfEGxPGJ5oIgiJbYEH1+sfzeKV12BhyOsiD6UKzRbSdVmvrkVjXQBvJp/eKxf/ck+8jIK06torRpg0XBVemaXPtBTu1BUr8ji/hlSumlwYSz/P4PRVKmMNaHVhK6usMLKyG5l07zYyfi5ShAGIFcgrfR03XOkOlMpLuUNX+p7OBTLGmR/i1Vppwt7MJSM4Jp+eFJFfrPz+kKp+aKI91Q+LyIWp6z4HeEFVXwIQkX8AfLWIfBz4S8BPqOovLzuIGRhNCKMDzH1BZeaP+c3e8YCO18fMSBcpwqabrMGd0W0t1UdVg3as0S5xbgk4glQPw7o/v/xpOU+E/dFoMqycm7DzlvNF8T1dgazAGv1fquCqZ6R2AfWALV6nwt2zIkdPT+mz9zN5Hp3dL05UNStPTYutiyqrjEg1H6c2hG8mTHB2HzBzP0tUVpkc2oPFo3c9UlX9SVX9PKAFnAVaqvqbKkoNVHWgqvd3aY65mxqdj1NlxFJodR53/Saa5/gXX8MZwuLkQRzYPoAQ9cL1Zs+iXnG5Hb2QzgsGpZsnWHGs2T6JZDzZusWFzi3acco7Tl0hMo5nL1wlijPOPLJN0kqxJ1N4fEDeUa5/qcMlcP33PYdvNeDpR6DVmDvRLpXXYFl6zMGZcKG+R+NYKnnokp8HAepi90QY11aHWc8DppRKBb7kikkL4TktPCtyKSZuM5o0Sze0fmBohhrhVYqkTmFCd0XDK6aLRQtrpCc2Y+pG1gUrTZKFyj8xePVo0+LjwgpK2ChMKLem7mekPBzdHDNKtlIBVqWZ1tBs5D5am9lfJnJozFPEVa2K8xSky0iTDwufGmtGrsPGTi4z5TORUoAQGeNUNkooqAR+87Fgyx1l8RUVQlIQTKRIKhaOlQnGosILyEhQ/Epl4vGU/BZRiDvY0bay7Go8dgVwYEJsIFJaHUVnHsx0CWpTukFV6THFD4FmLKaZYT5dKyWwJ+g404eONq/VtktodhocBfeST0XkB0Tkhoj8+tTxrxCR50XkBRH54wCq+qOq+l8D3wD8V0t2UX8Dy6Iuhas1f91rmG15UV9zZOu7H+AS10/SbO5IjtfoTB/3dN2/parvq3w+VNvgLDwCXKz8vlQc+3aCp/LvFJFvW7KtT8NvUHjQ1/xah6yKUi66fRhWXiN4W8WBqOtAweaMlBT57QSAgzQJa/uo2LtQ3UIAZL5Y81E0mHhH55qSIkAkORbPifYhgkcs+E5YwAfrjLyVAdxKjC9kZJcUa+za2lh5XSfIVZQxgR46gzat2K2bv2RKkTmvnQmYbqayts9ECFCVuwp0r7Nt1sCDJJveMxWMqnpVvaGqs2r3BwCMmS9s1v0NkwJ6+USNNZCmuMtXYTCkez4h3WqEbOWEl1ciEA1mHVGD9UU8pCqrrQwDbDUHiAhPNW+zGqU8kuxzJtnn2c5NLqzssdXq89zpG6y0Up55+jrrG322Ht2jdbIH54fkz6WkZ+DqB2LSUwnuC96OnjuFbq0vFHrvCT1MPf5Mn0uNY3Izs8w4ZkBBVZb63PdQDnFqBpnQEM9TGE1rbRsWbcZ0LodFI+qGsBEdRpAZnBO6hwmqQjeLAeUgbeIV+q5B38V4hD3XClUp8Fgc7228xprpczre58nmTVo25f0nXiIxOR84+zJJlPLEozforPWxmyk82ce1DJe+/W24lYSd/+LtIefBaKAL7mcOPZZTslUOL0Ozu1XEHTXrv4l8KiL/hYh8n4j83yLyZfe8g0/DwwP3nk9/CPiK6oGKi/9vAd4OfK2IvL2Cclcu/qPp0ut4/SmE2VrFZKlE84p4P54XSo+DnscoSBqUwdXXPXNlcsYwOSvBHV4rSrSsmIQypDg+9taICsVxyw4wQGyC6B4ZHY+jKGmcRy4ov2JCNpnEjNeGyBbKbT9StNYqakdKYWpxQg6sMc1kHs2KPkrhetrq6Z0P7dQorsc4Ones/YPB7DVT9/IGzKd1F6uq/g1Vfa+qfpuq/u07bv04eXZGP5dQ+CwTMry4hSOPTVvSq3/UbYRnUgLVIM0s81pz8jg0q+tr+voCeZn8RXXHjjS8LcmnDxqM5LMkBmNp7GSoV6Ld/ojGpddZUZAPX+j/+xdXAKVp88K4NjZ6halCseKpEj4SDRWmUJo2JKE/19jD4Hmiuc161Gc9GfD5514IKpCnBijK3rPBNOebgmsKPhJ2n+ugwO4718OG/fxJ1BjM2gqm06q52fF3OW/O5bFizlxIswk3llkcMbIwEm8CZ8FeYZwT5t7w6P3Cpw+Ob8nrDHeSjE0rL+c8HHP7ENIcKazjeMX2gtQjedFfCriQ0DrLgiDSy0KUUNclRY4CBygRjg3bBZT1KJREWo36GDydaEjLpkTGsdYMLiFrW4eAkp31+ETJViOyE82F9/N60uMNSZJXB7rk536HUo5dQmFkphVGVYsu4NtNBl/+GRgT4+PQRqQCRnFDA86S5xGhBKylaR3WgPcWI56+j0mM4rCctvvE4jlne6xFOW9vXeN0ss9jrR3e2rnJyUaPzz75KhvNAZ9x5hqnVnqcfuIW7fOHyJmUweOe9PE2N7/5vWRPbKCnx0WUynub1iqPrOA19CgXhioNlrFwH0WzGVozR8m2QBG3EO4hn74plvACvPMLN0bhu7RQaH3VBAHxHlQxmY7jwIuvvMyfQhH6puNVvJQly82kV4MWm8lyO2mKDaMlKJNtYfGZfHRhcylF5RXs2OW0yLUXrpjyyKmtNFHSo7zXqecYaFa/iRvRzDMfp+LhVLXGzOtjxl24gEFvibLLy/PpSRH5xcpnJqmYqn4Y2J46PHLxV9UUKF38RUS+h7t18a/2f9wKTLnD37qNAraXgiorV/KAcxCh3TgogwcJKGz3Q3nYzEd4hVwNqQ/r+27WApSuC3mJhj4okhWwhNCq9zQvA8p7Oq8RScbp5gEnGl1im/PU5k1AeeT8NqDYs0PUerI1yLYU17Dc+Ly18DieuzD5zMOrMXuvxXE9ih5Swa/DqfYxjVPd9M0Zx4Ry+k7X5uX5dF1EPiQiv+2YPVwCHqv8fhS4coejnYG6MFxjzVgBl5ZCJNBuBqvw7kEgpxTXV9aMeDuQepiGdb0u/0nmytCo8FCcj9Biriwxcy3yZWjIFdOJ0tHZqBlywzjCGlCGR4thFMaVt8IclFuBSLDN5mwoknK00rGqZCvwZnQOpWKy5nqoKPKKjeA0zRmtU8U0f9Q4Spw582stvL48+sbAtGdA6cm6sQpvf5p4L2Pt4zvY4Ti8TtsxecPixTM4Y8AKeRvUWR5p7rPWGJL7iL6LUIW44INYcqyEfEVGFMERm4wVO+BCe5vEeE7He7Rtxmd2LnKhcZPPXHmF966+zNtOXGWlM4QVT+9xh1uBwTlD2hb6q0LvrKX3aJtbHzhBtpWQn2hDMyZ6+gnk1Cm03al4b8zSoPS6nJYTq0a4EUvMo9m8ObHAKfO5zPSxDE5VTimXtSU8Nt6AufSewbEVGyLiRORzir998XveJ7/3Q359oM7lB6YEmqM0rzU4zX/3Ais/+wLJgdLY8bT2lM5FxQ4h7kM0hOiWJbkZMxwm3N5p08saXD1cxeVwabjJbtpmxfRpSs5zzWt8wcrHuNDY5h0rV7nQusnb1q7xttXrvPfEq3z+mZf4zNNXeO9jr/CWMzd49jMvcfLZ2+z/tpSd3+658dWPcv0b3xlKrdQsAEvTo/x7GqcqxNTRbOpnrUaxLkneUeM4Ah42S/iimLkSpmPvZr0XBFuUWou6YbY1/ULh5kHzQP80Db6D3TTGK6TekPuggBt4Cyhd3ygmyWDfaImjJTkGz4rpA8qWDUq2jahLJI62HbIaD7Di2FwN5+ypIaAMzrVx7QhtJmj7GIq4iftbjFNb+vBImtULNTN/Tw9nOX/2e82nP8QbbAmvQrnALwrBUVV0MET7/YAWx5WToLe2weUke55kr2hvLyQQSrsJ6iHNDc4bnBp6edgw3hquogp7eQevSl8jcjV4hIGGPp6OA889kdwmkpymSdmKuogoz6zcAJQnN3YQlM5mlyTJcB1FHslQ4MZ/thEe8xPnRuOdC+U8Vz+tTtBjGZotxDmC1e5qozhqY2k+ve9d/KsKzrmCYkUoFSNor4+uthAbvCBEwQ4cgy3Id2M0t+QuAgm5svp5QuoNw8J7I/WGCMiJaJARmZAwtGlSRDybZkAsnpOScTIacMrusxb1eO/aazzVucE7Ni7z3MYtHlnf5+mTt9hY6bN+5pB4LUWfHDA8l3HwpKP7hHD4TJv0/Aa6uQrFXDqCGj5aVrge8fMC4XouXacv0VkrZq2sfcwl+hh8uqeq36LHL0/4H4FnReRJEUmA3w3802O2sTSYtZWRskKMgPfIYeG5Etmwwe5WqjQV4Z1leHzn1RCKlqbBYKYEhbAIJDaI603r8IUiQ4AcyIr4AVsoekMZWI8RT0eCMe1LT4R8qafP7aIo0g4JSF0CvhNUxt1zYVw7zyVB2XemibeCRhFmdWzMKGFCxpwzZ00odOtwSjm0VFBMX69jHK3hw4CjI2XfUjLpMefX15lH3xCYpu3otzFIEqpD2eGU8srIiOAaFcaBIlQlNoVxpKJkK3+PdEgy+0mKqj6xKTzdTI4pjjeMw4hii2p/moSmNS4uNlKMQ3CdIgVlZEEk3IMxYb6fc68T0dHz6LEMzSbaPBpnfOBonGXGUQdvwFx6z+BOkof+OYKQUf59lyLSfQTz7mSZxVTq51UB/NktRuHfeVhkfFEaSwss13aAYKwP1kaBtcYQEJ5s3kIEWsUC0vcRLZuhCKtxwOnEwfUqU6EVZ3gVNld6gNBvhRl5mDfwiaH9qf3F91QRwhfeax2OTuEcQbaF548zjiP68P7eKS3kPij7toySbXZzPfk7aa2SfGqX/N0RnasJ2Ro4K8RNQ+8xwQ89sg6Hh02aPuWwn7DRHOBXhP0sobOScnW4yrOtPlfcBk/LzaJrw3PxIU9GPT6WtTE4rmfrtO2Qq9kGjVbOXt6i22niVPjk4VmaUcZ/uvwIPKUMXlnh+tkLND9wlnO/4FAB+YWPjty+62hQl6h2+p6XUkweQbPaPo4axzJKUY7Np/dnsrs6KOe+CgmmK9a4m7eR5uGoIkoVpzfcI333E8S7wnANxFl8T8m90BeB2ONdxsbqgF4e045yBj7GCBjx5GpYNUNyFU5JH0U5IdAyGTu+T66OdzVfY8evAp4r6SYr0RARw2o8pGEdKspeu8vt7hr+cc9hY4N0tcXaKwpRTHx7G27ujTe+CxS6pfA87Zo/wTNH0qx+3qvWuZ9bFruqZJnGWYJX7/V8OgfqOlBV/RvA37inHVWSqc4kVi1oVY2PDn8zqoxSknMkg48E8ekHPBbQYexKXP2uCu7CqEonVkIB+Nh4jA/7gcgoqYfIBk8kYzU8F0tZ5zgI6bmGpOEUz7vu/ivMNEMPna0mtTTN5uBMtzd3HBX37enncBS8Duv+jwBfRJh7LwF/RlW/X0T+MPAvCZT/AVX96D3rtNr/1gayvh7WwW4PTRLs6iqaevTiNdjZx2xtIGtr5N7j2knIEWAMviE4CWFObRkinZR+FpHYUP66IQ4rSst22WgO6WcJKkpsHIkomRpWJSjbWmbAWtRnTQZsxoc0JSXVBquNHj+1+xbarZzrKxl5BKiF3NA9DUnbMFwHkyrDU4a9/YS0Y1l1Gauv9mFlFQ4OZ18brfmbGpyaOROYmnvr5YTp+XluHzX4S49jDrxB8+mn4dNwx/Cg8eixFRuq+l2Vv//sPR3Nmwxzs3/PES4nrlFCZu+aUlISj7PlGCN4UcJurRBQqX7rjBBgTan+CNG3qlKU6KqMHRml1ynPlU7XZc7fUSI8pyE5YzZbtlIMlFlSFtFDp4/V0kNqF5KJEpumvnzmccexEBSmUtnfLfwQb3DZtxGUt7FICTdn7Z44324hcYxawa3ExeGQq9+tBI7RaNyGU4MItBspIKzGKYjQMDmxBG47Fx8iAh0JuF1viMXjVOhEwb29ZVMUAyJExtPPG7TjjMwbTCsI6L1hAkZY2YmC7+H2/uIHvYQCbCHNppq5Y5g3jlI2P6qM5vH49Jaqvu+YI4R6S/jnMraEr4vIM3cTF153B0dujLxHB4PZa1BQj+vYsC0shUZXumMb0JA+NBiRK5aK0eZxnFg0WBqFlhSlOCXYJpsmo0FOrsJqFLyY1pMBirCSpAy8JU4csXOkqZCtAQp+JcGkQBLNjnv63isMJkZQV4NzHJrVzK13tEk/YsM5A8fj03UR+RDwY8e04LyuLv5VqK4t0yFRJWmq7uklvn/+RXjqMfSFV+Dxs0SDk7SvKd0nQvI7OTFkv9ug3Uy53Wuy0hjirDBwMRtJjyu9Vc629rgy3OB0ss++S2irsiFdDn3ElmSjJLif3TjgY1kbiW7T9B0i7XA6OuBT/VN89uYtfmX3Md5z6iKf2j1Fu71PfxBzfXeV9kaX/ZdWufxVwpn/R+l//tMkv3aJ+PLu+BbrwqbKc3Pc6ZeiWRVngVJ63I7O/63zr5sL95hPVfVr5xz/ceDHlx/YnYFdX4cowiQJvttDjMFsrAfPzEvXA87aGhrHYU6MLRjI18PclLfDnNkwHhdpEZ4nII4iHzIbzSFGlMQqmYbEyM0orO8NkyMC69EAI8p6NGDNDrA4TpiU1MNqkuIxRB1Hnlk0KR8cZJvhe3A6TEX98zGk4NqFRdxaxFjUjRfJhRV8RjjzK+fUzZMzODUK4Bm5tjqOsuLPtFy7xFhr4d7Lp28KzPV2jaPywFhrdGsHTmyQtkFzkEyJdx35hsEOwLVgu9fiZHxYrE+K15Ao1JqQDFwRMm+w4kYmYoDMG2LjyHyoKmkJ4VqJOMBg8bxz7RK/uPM4nZU+3cMWbj2HocHF4DuCHEC6AsmBcPCEYeVVx2AjwuLRLMKdWyO6uDO+2U47KBuXCNVfimbMn3tfF0/loyTfB4xH76rc68MGs0xS87BnUCoMNOKqBc2UgvkUj+j0jyN4SKeQJhM1zWvg6JduwsK9FD0WvHSz3c7i3KtxHAHHuOT+toRXFEbTm5CqAmh++bwSRzBGyIs2q0q20uUSQmInX3mA4zDSkLgpLCiGUBOl2CwVaray4clJc1LJFjakMmHkKGvdSzmRqmIig0/vvOTgXdHMHlNwmlfjfqmQqSNR7hZed0t43S0sKo3mSw3m9IWdDgxTpJeS/PpV0s86R7wP2RqYQ8G1FedA8pDw6+AwodPpszNostHss5M22Ug8PRcT0aQVD9l2LU7YAw7V0cFwxio3HPQlZcN02XEtzkS7XMvXeCK5yaX0BI8k29zKOkjsWTMDXspP8JbHr/DJV8/R/+whrV+J6T69TmQyGhf3Z/OF1IQnzVT5qRM2FtKsfq2ZwJmz4azyf21ukyXgGHy6p6ozeTWWgJGLP3CZ4OL/e+6gnflQdbUo70fnnKvTevYH8PEXEVWywz1MdpJkHw7VIJmiDhyWYRYRR8r+ANqNEJ4XmwZCyLuBMfRdTNPm5JpjRMkxrFrFYGiLITKeR32fyxLT9ClNyfFqeLod5su3rN0g15i3n7hK1zVJW5ZBZEEFdzbDqWHvLZbmdoP0wgniK7tztbgT3kDTOHdLs0XnZgayAGdJLfQbwKefhk/DXcMbsO6//jAtppflXU9tooBNQ/UT3+vB5at48ex87uMkQ9j8xID2tZTsPW1sJvQ6npe2T5J6y6mNLolRDrOEvoPTzT6RUYbO0M0TGiZnPRoUQxAOXcKG5AxJsPRpmSEOy5noAMETtR3vWr3IxcFvxawLckNJTwj2TMTQW1xDSS7HpBvgryo7747JOkKetEkOc+LDVdKViI0f/gWMV0gSzNkz6O4e/tbtIEszx2vzCA+kpUOv5vVRwSmNOgvX9MIz8D6RTe8Z3LViQ0Q+C/hTwH8GbACfo6q/LCJ/Efiwqv6Lu+3jjYIZl9yaBXhiEyOT10xfP9owXrwFp9fBmpCRXAWTKtqQoK2MwfQMbsXh8pBVXQS6WcxKknFluMqzrQEplrZC0wThyGOJycmJCx8NQyI5PWIihEhyco3YaPTYHXbw60PMvmX42CoeDZvU0jWi7l6XogfHpscyOMcaxzJCzvIv5X1rCR/BnWhya3GmztUcL/l9cQjedF+64FzNcS0VIOUZnfieHnfd77quqvWZRgoz7oRm8/ut27QuysFxJCyPet9bwhfCESwi7RZmcxPJMhqXrhJf26f3rtMk3Qi1oFFIWpc1BB0ahsSkWGzswIQ48T0TchloEw5ci62oy7ZvcT7aZwA0sZy3hjXjgT5eBzQkCxtPciLxrNohHuHRxjb7voUqdBpDIqPsS0xXE7JNIX/5DPaZdU7/4EeO8wzvKc3uKc5xxnKX8Ka5+M/ZYE9v7Cc9XKY2/aX3xpMnQYRspfCeNL6MVMHaMOskRVx38MAMfpVRUTN4JQqhpGt2UISdukL564kK38tdjRCUjCgkOSSEqighgbOIkmuMEaXvYqxAmofJW4F436ACzUs7o3uus1ZPh0rNKJFraSYTc2FdGMm0MmQitGpO+NZcHIW4GUOfxfAACeNHgWrhSbmMYYjKrVcfaBlGVRyeOjWSrarGsfJctblwanoikYlVfPxd8/ALg8fYq3j2qqPute74UuvzPbKkH8dgdyQ8RHxaghhBN9YgjhBV6GeoKv7GLQAOz8cYI8jAIZkPSWSDQzDuZJgPczUIQqaQa5gRW1HIBTNwESDEJg95L0aGNkYFXzdtDxGhwyB4WyCs2D6qwmpzSNc3iToZLm+QrrmQNF+FdD1wYP+R0E73XExzT8jaERgwmRvpH8ypk4gU1aZKIxY6O09WPSbRermnnOOE2nm2iqPo0SGpdeOYaYejvYmpb+N+hbuqiiIinw/8HPAc8L9PteeBB7d+9/RMu+y5Gpzoyjb25j7GKSYNi9PKFUWdYovKRzIwyKGgueFwrwkIL++dQPBcyTYJsZFZwe/KE/F1GpJyIblF2wx4NNlmyx7yWOM27+pc5GyyxwfXP8pmdMhXP/orbDUOee7py6ycOSR9NOHW734GNtbguaeOfT93S497jnPkC7dc0pv7uuzbRKM1vR6lMJrC0eEQ7x3iPHZ/EJLf9T2iEB0WLhuuFIIEn4dG9gYh6ddh3sCrMPQxeUG3266NIgw11K9YMR4pqorbIhlZg8DDTRlg8LTNEHDE4uhEQwRob/QxRjk8b1ALrLbx0/c8lrsqdNHJe53QSFS+75Bmi3BmxjE91qXgWHx6fye7q9BkqYzbUyhmYyMI4f0+COQnO2jhL61FZJ/rlLFqYU6VYKAGoB2HXB0rcQYI61EfQYjxtE04t25iRGDHhyRlTkxRQg5i44qcB4qRsHG0oqQa4tJFlK7EYMBtN8EIzRe252sAJ+hxFzSTOX/Pw7mDPqJK6OS8Ro7Bp0dmSFfVr1XVc6oaq+qjqvr9xfEfV9W3qOrTqvoXjhjUsWCc16KGBtPJ1szsucUJ3aaaq8OZekjTv2sbqoVJHFOXGG66uSWSzy3CqafZ1E9TPSUT33XtzONFWcCvcXKUXe4NWfffMHAXL+O7XSjmRE1T3GsXUVXsUxfAWvLLV/EHh7iNBpoIJvW0Lg9BlagfvAb7N1pk2yFrYuYF5w27gybew2sHmwzyUGA4hD0b+s4SjeoAKEMinEqxdkNLcjoMiSXju5/4Z6zZHp/56Guc6Bxy7sweZ8/t0lwZcuqJ22Ac5ok+Gjn6T6VkmzkH74648tUdeo+1uPztn4HrxOz+3veRb7ZmE9rXwIQBY57lWRbg1MlT0yhLJAa9c8XGg8+jtUlZvcLmashFlLpQYU51lEcrvbCJB+LDHBTyRDDFffqVQL/1doqi5D7U6YlMTvmQ8kIQaNtQMVLwRenYcUBq24ZqPU3jMOKDakOEoUYMfAIErzkteF0LO2/IRaSjHW08KGuoCWoE2esjhTwirZCQWQaDCSVsnb1vFJ5f/F1HMyllxjqcaXlU6+fnmYS6M/PzEUrlGXiw5tK7Lff6lwgWlXcAf3Tq3C8D77nL9t8wMKV5ZVrArivlWEBdJtx5JSXtrQOMByn2XsaByYMG0hb5NszQIt6iziLFljAxLsSOqy1eUgBLw3hORIdERjkX79E0OWeTfU7Gh5yMD3lX5worUcq7Vy/RtjlvO3GDtcaQldNd8rYyfGINeetjmEYyuueJe70beph6/Co9Fh2bHEcpgS4/jlrQJT/3adm3uXCnyiDncNduoAdd2v/q17DdjLWXh+AVUSE6BJsJshehDrLDCPVw0G+R5hG9PObGoEPqYz7VO01MxrV8hQShLaZQXijn7ZCm5Jw1eyRknI+2WTU9nm7c4Hy0zSPJDu9beZmTyQG/9ex/Yj3p8VnPvUy8OmTwnOPwmZDHwL39wuL7mRZIdOr4vaDZMjjT/S0ax7w2l+PTI6GwhP8c8FYRuSQi36SqOVBawj8O/KN7bgmnMn8w+37Xzptm8h0e/S6EAEQwU8LiaBMnYdMklFliGM9pVcYo8mqMxR4pzpTfIFNLYt2Gc3w7Uxu2inAwM6dN0GPO3HqXNJsoX7zEOEakmt4wNmKOhOX59E3PkF4HY6t1zcs0E5M8e26xRXequTqcqZe4LsZ5uc3R/HHM9F9zybwYbRZs0o7tLVecvNfeclm6RNG913/df+PAO/yNW2iahTHnDs1yxPuQn6LTBpeT9/bJ2xHeQNTPg0EtK7w9GorPLe5WE1VwKuTe4tXQyxK8GvaGLSAodQEchvVoiAgkEjaWsXiiIrfBapELZt3kdEzGZ3Yu04hynj51k5VOn5W1HpunD4hiR2NriBiQkxnaUNLzOd3HDQdPxtz+gi38eoP9L38L2oxJnzk1ef/H0RVMw7LXHv+Vqz9+3LHeozX/zYIZ/WiNAnhmA16zts7Ts9ZdV29Xmne0Rqlc8PeovUWK59qBTCvAq9fX38AyFU2Oq1SeaeYeKZVn4B7Kpq833K1i4z3A39Kw4kzf0i3g1Owl9yfMi/NeFLNclw9ibsxyb4jc2kNSR3z9ELzS2HXgFdNXJANJwR4EK/ngIMZ7uLS/TuYMO3mTPdfC4kmk0EJKSnBVzRGUmAyLI8LRlgGC8kgUyhW+tXmFVdPndHuPC5s30UjZfVtRHmx1FQpXqiPpsSBp2IgelcPLxHAvjCWfyqNQj3NEkiYF9bLUh/vdEl7AMgojM7OpqZq/gDRFt7eRzNG6mWFdiE1TCyYVjDeIEyQ3VLeIuYtRDAOXkGtCqjFtE5KJtomJRSinlrbxrNicyCirdoA1cCY6pGUyTsf7bEVd1qMeTza3aUU5j6/ukFhP+9QAmp7hGQkl69oNmLIk1yriqvfHpAXzntCs5rqlFILT46uD4/HpfWkJH9/K/BVuvNGZGOyR188cqW565vS33Dq7jESqR6Ms6nie99A8nJnmZteaRfjzG6qj6xIb18kLjsOn9y8U1qxpuW7sah++q55go3MiEzjmpZuIV+LDkP9EnKCusCzmRYlXF0pk5z6Em3qEYVFG88A1UBX2XROvQl9DGW2QkaVwS1IEaEhY7yP86GzbBG+3hhliUDrxEMQTR57IBrfp9GQI0xpc2Bp7P9Wsx9PuzXXhorM007k0m+D3Ks5RJduPwMkG2fQVU4N6Q9b9Nw4UyEMiRKR4BsaADTykvT4ouKfOghFsFjwwFfBxIHz/RODbeHM4eoblbOw18EQzCnSVoDGmYTLiooRm0wRl0tloFyMaQqaEgh8VEeWS20AEhj7GGFARjAnJHzUKY3eWghdMUHR4Q94Otna/tQYiJC/fphjI0c5LssQGTRjz37zzR8FRXSwzjmlYkk95EJRvn4aHE+6xbPp6w90qNgZAe865c8DeXbb/xsG90sLOwbFXbhP/0gu0X7hJ47U9bC+jtQ2t20q8D81taNy2JFcFGUQM9ptkg5hX9k5waX+D17Itfur59/EHvvyf88XPfJxv/YofY/fSGRqSExtHRwasmgGrMuCMPWDDdHki3uHJeJt3NS7xeSsv8lUb/4kvfOx5fts7PkL+hOfm50fkyRC7uY6srtyzez02zt22u1QfsuRniZbeREt4CcsojJbKMl8E0EqagyoyKMKlHJg+4CHaNeDB7ceoEw56Mf1BTOYNtwYNvMLHe+dwCq/lCZ94+Qk+8MU/ycnHX+aLvvjfcOPVRwiKuBzwxGQISlMyOjIkIedstIPgeXf7NWLJeOvmFU62DjAbOdlzKeIUs7I6lwZLVTO4VzRbqIg7WkG6GJbm0/taENcya7zMVkRAGbtqljjTNO0XgnccgwhRL8OX1oeiOZ9qqGrpi5Apb0ab8syFpW3ggntk6hNUPbna0aN5/pXzvPML/znPXvgkv+tL/jXXXnsMHW0jAxhyBMHig/JY/AinYcMGQDsZxkJ+so1aGW/sqvfjdaQQ897XWHIKnGLDfCc000of5U3M8qqOBO95pYkH3SFHw72bT980GM2BlWN1m/HqdxwjrRZy7sz4WJLQHFjIMryF6ABUivnSw3AQFQoNS+4szlv2Bk2cN7zW3cAr3MxWcCp0tcm+b+IRbrgGFrj46hO874v+FW9/6lP8gS/7Z+xePMOGdGlIzmPRLWJy3tq8EkJTW7fYiro81trlXRuXWEkGvPeJV7BRTvSBPVxDOfzMk2RnV+Y+nlp63A3Naq5/3WSHGXiw+dRYmfptRpZRMQZMJa9FmQemWXhc+aBQn/AOj4o51I7VmWbq/ssKKSVGUDdM4sSlkr8IWgF47bUn+PLf/FP8r5/z9/i//qvvpnv11GhY1kz4001YyTV0VlH+h3MmG6+lJb/NNTzoeLxzDQ+6wPBQ0pUaA8jIE1nm4xR9hrwlk+NYyqP4IVjzJ+HOXvDldPWLkI5u4Mprj/IHv+JH+bdf+lf4j9/0naTXNoor528qjus8Nxf9bue0musX20fuySRawIMjm96tYuNnge8oSl2WUFLym4B/e9wGReQZEfleEflVEXEi8lNLXrcuIj8oIjsisicif19EThyv8+OOdvKao+KiJUmQXMEYtCiB5BrFhGgDmm+O21Ab0is9sboDCP/wj/xJXn7xabyLeO3FJ/kz//XfwhdLRLOICY8lhK4YgaaE8lwNEzKt72kHK8qrB1sYA2aoJDdDDLr2em8YPRbFzR7V5h2DLvm5zy3hE/dzj0CefBTjlKwBZigku2BTwR5Asm+I9y3RgUW7MfluzN5hi5u7q+ynLW4OOhy6Ji8NzrCdrXDVN/jab/xBPvmpp3Eu4oUXn+Hb/sAPEUsordkRRyyeNhmbZsgpe8j5eJ+zdo8n4ts827zBZ3Ze4zNOXeILHvsUyTt65B/okhz0MetrkCT1NHjDBOUj2l1GQXpUW8vx6YMBc8aqNQqjKvjtbXwW5i+JLabvWHuxBwrxQbgm3rWoI5R+zQTnhYPdkODz0t4aXuF6f5XMG/ZdkxvZKk6Fjw3PAPA7v/5DfOJTT+FcxCsvPs13ftPfoSMpIsqW6QLKSXOAIWfLdlk1A1om5S2NawjKl5//GIJy9t03wDoGb9ti8OT64nue3gSWP8u9SZDQ74hmEzjTCouJvuaPY8Kqvgju4Xz6ZsNSnl/FJkXimPjcGUxlHorOnsa0W5BmpGuCyUAiQA3qC2+3whqe5pbcGTJvi/xEEcGfwpBpaLPnGxgMOZZVafK7vuH7eb6YT1978Sn+x2/+XlbskDU7pGFyTsUHJMbzaGOHts14rLXD6cY+51oHPLW+Q7uZsXniEJso2SOKawrDJ9ZGz36RB1qdS/nSNFsUtnqPvOWOhAd+Pr1/lS7T8C3f+L/x4gvPoN6y98pZfv5/+NY3e0gPDjzQPFqjZC/Xs/4wJA61EpT1waUFANkLlUx8YkJCzlxHFfjKlC6DzACCLRRgTs1YgVV8p368qS5SalISLC/m3bxwtROEP/nNf5OLLzwJ3tJ77TSv/cVQxTnk0wIxOq46VrYTF2aVMBy0FaN5oXgryhN7E8opS9WgMPXcygSjMsd4ARR5NuoNHFWDycjjqs7AUVyvNddBaFdEwNSMYx48QHPp3So2/hQhHOVXi78V+HoR+X+A9wPfdQdtvgP4SuCTxWdZ+IfAFwHfDHwD8NnAjx6n47kxywuOTcRFV2K+63FCic26zf9E7PS0EFH8vvbKE2jhuqre8tqLFxj2Swvj+Bopf83EtBXupyohTlxBSwV2XX6Mu6bHqOOpa5aIJT/mOI6E5V/KN13beBTM1Z9VY/zm0Ggi/k4ErEHWVgBItxog4FpjPjYaNlta5mlrhBPNZgYCsXWU2Q3OJPsAvPrSBXyR2Ml7y4svPk3uJjMb2CLfAQReFAEjHiNKT5sYUS73t0AgelmDS61XSMs8M3U3N//3XJrJEjSrtrME7830dRx2fYAWjyOhOs6ZOUBGOLXKTVX02jXcjVtop419+zM0d30I3fNgMjBegsItFfzQQmZJhzH9YUTqYnb6Hfou5uawTaaGm9kqqSbs+TZrwIsvPY1W+PSVF5+iLUNWJaVpck6YQ9o249Foj5PRAY/Gt3gs2eGR5i5va1/hXPOAt23dYGulT+vJHmkHDj7rJDQXJN8cbSanjtcpGhbSrL75CZx5vFpRetQlJ1taSfiQzKcLcz3o5HFVRd1k+ngtrc5OkVLYLY3N5U8PZRUKX3y7IlRn9K0ywsk1eB9lCp988akJPn31xacmBlcK+GZUgtsXx5RIwlgbRcJcE4dEe2oFH5fywPSmZJYeS1WJmEOzo65fCqemzaXgYZpP73N4uTKfopaD106/uQN6kOBh5dFrt1DvUVtu+gU5sQXA2ke3QZXBVoQCJg1rO0DyWgQKe/0WqooRh6rg1NDLE1CIivCobt5AtfCj1DDzlevjXh4CCgaagCoRjosvPUkotAWoYXj5BIKSJDmCR60SNYO6OWoWiU5PhvZdDGrBrTYZvDXchy/KiZiVTthTBR3KXFCvR+OMcostwin+qBWf9Ei+UVUqDldHwwM0l96VYkNVf5VQ5vU68CcJJPrDxekvVNXn76DZH1PVx1T1dwFLufKLyAeALwe+XlX/T1X9v4CvAz5fRL5k2Y51Ts6ISZzJY1UX87lloBbEidZd46f6LX+fvfAqpniZRRzqn+fGpZTegaPXrSbSKnSaM+Mf5fUdu8vNCG7191Y39onxj3Cq9BgNZ24784SZyRjfo8exEBRQWe7zIMBSmfnnbdJrlEolL9To5UbtlBuh2llw8tjTT70ywafeP8/hAexsO7KsbKh6jaltRyqPeUYBVqdkm1YITlj85tDMLEGzBTh1ykyZVsQdKznT0nx631rCazlkGV6dvlDHvCKFxXdaVyojNa4gU2d1vqskIsLTT7844lNwiDyP97B9My+EqXCmVLwF5Vs4ZgvmDKU7C0WFFGNdhkeWSgp2fJotk5xsYUK3ZXj1IZtPq+X15q0tI1ZMU7LXLuP3D8KBRoJurUErYe3FLmd+5jYGIbotkAM7CX5oOLzVZrDfpNtrsnfQJstjbh52Qh6t/iYHacyrg00uDk5wK1/n1wfnGarwa5nw7FMvTfBpq/VJQOje6GJQ1qRPRM4j8TYbpscjyQ6Pxjucirp8RudVtqJDftujH+VMc48zn3OVzed2OPzcc9z45ncH+b5ufS5flTlL7VI0q3gPLaxEUeJMo9Q1e5yl/yGYTxeVDp+VHWeVUDPy1dR3+Hu6j5pxzPyeRXryqcn5NFl7FYDh7cMa5dfsSGbbPKbyax5Onbw5M5xlZNIl5PjJg8ByOeAelrl0BpyHa7cx/WxEc7O+DhurRKtbNHeV5o5nsBUzPBGHrEECdjuikwzZWOnRzxJ2Bk2GeQia2kmbpD54vUXiSGwlTFUcLZOSSEZCyA0T4WibAW0Rzlrh6adeRip82j55kY1Gj013la31Q1rNjMaJHlEro7XVBxQfQ76uDE56uqc9bgV2v/hxdHMNPbWB73Zxt7frDRTz4CicefOvHBPnbsdR4jxAa/7demygqr+sqh8EVgmVINZU9YtV9SN32N6ywehV+C3AdVX9cKWdXwBeLs4t2ff0gWUuql4/TygqJsbhMCTrdB5TZPSODzwoFHlAsX0QB6jg+0Fr+andk3gVftf//Be48PSLGJvz+DMv8f3/5r9lZUX4Q7/5Y/zg/+8mqnDQC+WEqsqzpFBonLO7GDxPrd+kaVN8B/rPBlO8tNuz93wHL6cegx4wXyiapOsS4zgCSkvYUZ8HAqaUUSVMKNnm0HUmH4Qy2vTXPa9pJduEYFBMdtMCyd/9oW/juWdewtqcZ555gQ//zB/g1ZczvvQDN/i//kEXgN5hVRHnKw2Ob1CKZAqhBNcdJKF1VSaaGn+JsxTNtPL3HOXnEgrBZTaNx+DT+9YSXrsfmXk2SyQqLunYH+BeeBUfC8k+SObZ+vWMeM9jukJ8ENz/2Q9x0oPDBs4JNw9a9NOI7UGHS4cbdPOEX9x/DKfw4f45PvQD38Rbnnkx8OmzL/DPf+q/5id/vM9Xfc5FPvIf+jTdADfMacqAmJy2ZJw0ezRIeS65QkTGBzd/nZPxHm996iLPPHWZ7EyLK7/v2clptI5H3OTNLsfPVZrVC+jL5J2phqLMuLouqTR+mObTidJ8c15RKTwt1TlQj27vhONPP06RIAWbe/KORcts+1rs/IcWUSHPDd4HDVjqgsUwsQ4QVAweg4gnIyIu1mwF/skPj+fTp599gX/wE9/Cj3xoh9/+/lfZuZExHHhizRCBjh0QiyIoLZtiUE43DkNIauIwVkmdxXciosMMrblhKYRlOYoey9CsvIlpHKngHCGcy8i77/jwoM+nE+tVoSASG3JrqFfEubGRqtUObu6XbiPO4xMTcuooSDHfxPshL1F+EI+ecXjlZfS+9nI7YcBIfUz5gErX/m3XwqtlqBHBLcnwfT/4+3nq6RcQ61h/8hof/N7v42P/n5/kP/y+H8TlOQyHSGndtj5U+zPBS5OGjuYln4S+Bo9vjUpqlsl66/QjM3w2gzPOPTQRDliSVWTSfb8uoe5UfqM6L6VJA0hlrEvMgw/DXDovpE32e9h+8LQVKfCeexIaCSu3PXEf8k7E8Gwj8GMcnsn59QOS2NHNGvSyBqoGI4JXw2HeREToRBmRUZyaIgRf2YxDfq4T8SFGlGYR/twU4ZQ1/PAPfhvnn3oVYx3rF67xJX/jf+H5P/ZDfOy7/ikr7SEN08PGns6ZHkV0CQDZScWtQL4C2abgVxvw9ifBWvT2NqTZpOf9XVaEnBsGWDGczQ+dPG4Y4NGqgAdpzT+qEPjSoKoD3ojylvXwHPCJmuMfL84dDYsWVz0CZxlotTCdNq4V4zab+EaEpJ7WYZhQJVOGa0K2YWhcEQbnlOxGA3k85+LBJm/fusbpx67z5/7Z1/F4skvPWzIsu/sR3/FXL/AZn9fhx/7edb73L9zgX/3KY6zGnqShNBBWDBwoPJoMUL3NLRvzdc/+HD/8ygfY/5aYxjffRg8Ol7u/e0WPu+3juONYPkP/uoh8iOA5dF8JOSXMdcfV4+EEXYJHb+0gpzZpXR/QfbRN1IWsLagEl38fC7aruA5I36Arjm6vwWpnwABLP4vpJCm/3n2Ed3cukZ6/xq/81Feh6rmlveCG3bR8398/wTs+K+Ev/ekd/v2HB/z4T53GpYokYVFqk9Mj5on4Ni9mp3nr6jVe626SPWfJTwrRJYFGAsMF4ShvBM3uEJZyo77fK0ncI1go+I02VoXSrD9E1dM718Q4WH3NEaVKY8eTr4bEtiYyIIoYUG9wmYXI0B0kiBEyZ+nEK1gJ2f+7mvDcozf5D//PlzJUx473IXljlvAP/9UZLjxh+SPfcIuVdcNf+pun0DSlnYQS3CdtF0Q4E+2TE/F06yav2fB8P/XoOUw3QRODpH7yXhfMUyJyJH8sIyxPdDE9P1ZP3sU4gAeeT8vRS7FBBEY0mTg29bv8u3wWUuTaMITfectgELxUIr2LPVFkQqpFFQ3hpeJHgnBceP7EooASSYZigZy3PHGRX/vpr+LVfECqOV0f8a73NfnH//4CQyd8x+94lfd/2Rq/9ztOk6dClHg8Zcn4shAypD6Ie36QhLEfDDGRRV1FyVzeV+WejTUTCrByI7g0zco2p/i32q6xMqPsCzjj49PjaK02Yb/m4VbhAefTCVCQzXX04BCJIqSR4PcPR6fNyS3cK4dEV3fI0xySuJgPwWSKiyDqKcMTIM6iGjjUe8FGyiCLaTcyelnCapIW3p2KQ+m6hNVoyL5rcsL0uJmv8Ui8Q44l1ZimZLz7iWv8y3/7Rbww3ORHtj+Hjgy5+QVP8o7v+EL2X7jEr3zXv+C5b/kA3Xd/HudXt7m4e4pOK2PYT8jFEJ0ckt1s0Hs2Y/WjCd3PfZTWx65iV9po5tBhfVLjkVKC+WtsqdAQ6pQjOqmsqFOOLMiPNDGOqgLlOPAw8el9Dk88cZG/8uO/hwz4tztvI8/hua9/H1vvf5JXf+ZFPvYXf4Knv+fraT1+Cr1TjerDCA8Qjx5bsSEif/oY6Kqqf/64fdwBbAK7Ncd3gKdqjs+AERMsh1OTmjGVxdfULPCqEwv2jBBQCkJJHBQbRshOh/KqNg0OVI2e4gRsFuJsjRNMFjaW6i0YJXcxkfEcapOeNoA8lNlchfd8wSqg5Bn8ww8/zs7tnD/1P93iS7+8wbf//lVUYcOGGzsRDRg4ZavZZa0zZOAj/ME+Mi1oGDPO3n9cehSL6SJ6VGH62EQfIsE6ecQ4mDJOToMsv87sqeq3LI39JsEMHes2TdPH5mys9NI15MQG8UFOPPDksaF5U9GGQb0yOCXYQ8E1FbzBRODFsH17hZWNIS+nEW8/eYNPDc7xGZ1LDDXjistZNRke6GM4cUbYOmNJM+X0acs//ReneP7XM/7kH9vlj/+pVT7nAy027CG3tcl5u09XW7hIefvqZT6yd4H9r8lZ/wvbE0qNug3HDJ0q7+Y8nDuh2cQlE+MY8/48nIVt3Sca77uFo57N9EZ/eoMpU1axfLU5igOxw3A83yryDZWJl8twEBhl/W8W1r8kciBCbNJR6cLTNkVQBsWCrcCFpxuA53An5wt+c5Pf/nWr/NLP9fmTf+Q2f/+fnmbrdISY4L/vsAjKjltFRNneWwUEuz2YsLJMbxTr6aF3RzOmNo6jYxVFxfQ4apQYqkrSSqAml/REu8vz6f2pKD6GjCZSNwVU3RqmGnwD5L93vieUhX35ZeW3f9MWn/9bN/jwP9vj+777Gt/702/Dm5JZpsd89KEjYZk5cYJmdZq1O2h0po+jB/+wzKcA5vQpZKUDqyuAAWuIVldH5V4ljpEkRtOM5IUbcO4U3oBbi0EMg7WQrF7WcvK1nMEwIok9ThWfGZw3GAnW7sxFGONoWMdKlNP3MbHP8VicClYMB67NRtRFJeaMiWmJ8GJmaNiMR5M9MMp7PrhB1w8h6vLeP/qbePI3neHnvu9f8LFffpm3fs/XI5IzaCQM8xi/qvhI8B1P+oqiNkLf/jhyALp/gOQZWpPoMKy5i+UAALTgwqNkpxpWPWrenMFZcr0fXfsQ8emDBiYynP/8Jxl6QZ3nmT//e0nObXLxf/nniDWsfc3XFh7DC3Jn/QaAB4lH7yQU5c/WfP7MnON/9i7GdlyoI/vc1VJEvkVEflFEfjFjeLQ7NPMz1FbnuHmuvToc4vcP0P4A+6svQ+qIr+5CmmN/7RXMjT1sqiS7DhTiXcCDv56gKbywe4JX9jfJVbiRrZB7Q9/HeA/7rkGuhq/8htO0T7V47RXH5/7mFb76d7T4J/+yxxd9xQ3EBwvSujE8Yj0rdsDXnvt5RD23/vDj5Bv2eO7hi+hRObyMq/Ndu1wfldVXj/G5z2CaTyvHp/Fmrp2XhDZcUH+ddeGUzSHKwmQmGkrCla7V4gyo4IrSheNcBqFhEeir4orMRDnlxlGIY8N/80dWabeFT3ws49u+fYX3vi/h7/2dQ/7bP7xHxwR3vhWTEomyEqWAoC3Q4eRu667zCdS55C1DszkJb8Pf9eXkls9dsOTnPosJn+bTZfI4SM2xyoHZPlhA97nfVZzps9NXQ7kkbmxaft83r5A0DP/x3w/5y3/7BK224a9+9y7f/9d2F44rNLOIR0pG4micqd8T7LgEzRby4bw54KjyhMfj0/vGxb/Ko6mGuXRmgzN9jErYUEXZNl7rJn/jdXxsqv9qWJ9XLSzmo8sq10gxp06ua2bCBSeINo88GfNlv2MdG8Mv/8whf/mfPMPurZz/+b97iV/48euUdQLCVaW1ISTGw5q5uS+qG7eFa/gSNBtdNx0GWGl3OtRwhLMgDLB/OKi9ZtzoMT73Ecxb802njViLNJpII0GiKCQsrF5bKDlMP8PkQUPsmxYBXFNABEkUIgr+C58QIhVc+YOCNGiJBYhNWMddkRi0nO/yUUZxQ8vEiAh9jQFhNRpiRWnanNh4zn7GKZ79ovO4QYa/vcPn/3+/Em5c59e+80cYvnIFG3vEAivhGfukGNrGChJHSGQX5A07et5kwbx57PxG9SnBFssji+AB5FGY5dN5crxpt0Z7JFWCcupXn4fegLyazH7g8BIMFV6Ul29t0R/GRDanYTNEHLkP88jAhRLa3Twm94ahi+nlCbk3XB2s4rxwcbhFrsIt16HnEyBnz2U0xPPF7V1Q5Z0rl2iYlBONfTrRgMe/8AJPvmcNdnbYPGU5/wd+Myvpx7j65/8yEt0m6qRoOyc9M8BHcOmDTVwE2XufxW+sLLUXXHRsYk6cWmtGOEuEmy7cp9XM38vlgVnycx/AnSg24qlPi0Cez605l8xp417DDrBRc3yDek8OVPVDqvo+VX1fTGP8QKZl33nqkup3HUzjDIb4nV149SrRxVt0PnqVqDsk/rWXsa/eJPrUFaKBEu8r4sAOBDsQ6MbofsxrB1t8/PY5Uo3Z8S1u6Ro5EfvaZqgxXZ8wIOZQG7zrN63xlb9/C0H4/h/o8nd/4AT9nvAX/t8HdC/mXIgcz7Vu8P71l2n5jP77N+h99vrk/Uzf972mx7I4xxnHooYfoMQ3VZjh0wKWmTSnS3BN/J4SYP0nX8b3Btj9nKibE/c8yXYGudK8oUiuNG+AGYDZE2xXcEPL4Y0Wzhk+euMMqTP8693nuDxcp6/KjrMMvDBUyL2w7xJyLxw4y1ANX/1frfAlX9Xh2lXHL/3SkD/z59fI9nL+3J/Y4ezgBqfsIU+3b/LVZz6C6xi2/8xj+Nb4GU0owOZO8EsK6Meh2SJFXDmOBYq4+XAsPr1vNowwy6dLJQiuHlsiGdt0LpfqRlHnfs/izE4e1d/Tz0n5g//9Op/x3gbPfyzFOfid37DK1Us5H/rTFwn5jGomo5oSbKO/5yhrl0tgV99m3TUzF0zj1GxiAVw+WfVjFh7M+XTeXDpGOKqBWRy9dBVU8a0EFWhfGoADcUIU8s5h0pD7RYfh2ztBNSgvDgYNVOF2v4MqbGdtnMKeb9H1YYyXco8qrJuwkWyQw0idHAYUGfiO73mEM+cs/+nfH/DM2xp81hdt8NIv7/Iz3xtyuL+1cx1Qtp7cAePpvWUL154joi27vi5Bs2VCm+ai6Jy/F15UwrH49L5RFB/Jpw8wJKsN3vc/fiFxJ+HqT36cc1/1btpPnWbnwx9l96f+05s9vDcJHry5FJbkU2uRVmvikN/Zgf4Qt7eLGhm91pKDL3aT2SlH6iK29ztY42lEOXHhhWlNmDudhtDQoYvJ1NJzEanGDDSm65vkRPRck4yIfdfGkNEnY8XApslpiKFpc84lezRMxlbSox1ndJIhT7y1ybv+m/ezuQnX/o9/z1N/9CuJ1oX9f/dh+ldewHc8+Tpkq4be+RhdaeEvnL23G/s7mROPOn6neA/Ymn9sxYaquuqHkPsbwE2fK86/EfAJ6nNpzMu9UQtS9Z9U6jfhwgTOXC1tFWcqqRAIRou+Dg7BefwjWyCCaxRWYoWycpZZdSjw6MouQrDcaPHoymzAceEnlEjhco2n3RL+3j/Y4plHG/xP373Nxcue82ciXrqa4jKh5xK20w5qoPPLBzP3PHM/rwc9TD3OscdxFCyvbbxvBJyloDRILKE4WmhFGAxRn2OdEh864q7HZEqUg03BDsFmIVGjTQUzMPhhhBtGDLKEftZgmEfs5KvsZB0yFfZV2FeDU8O+NvAYBhrhsAy8GaUMffJCxN/80CanTxi+6Rt3OHPCcHY9J7+yx+PNW5xv7uC3EvJnWuiKrbc0z1FM1t7yvaLZonFM48xvZRIeIK34IjgqQbBU540p/AnP9QKivR7khR27MBQmt1zwJspAPSHpcrHi+NQgCr2hQRX6WYT3ytDH9FzYzF3Kgzt/s5g7zWgcUsyrUli5g/D12R9o8se/a5NWC77tv7zKOz4rJDCLblzFopw+sYsxjvxMC9ewE7x4ZMJkmTw+D+c4NAs4TI6jEiteu+EUSAfZ7PFpeEj4FJik2TIvahXn9i44B8YweHSNw7du0dgBk0O8K0gO0hckEzQ16CBYwoeFkmOn36KbxlzvrXCYNTjMG1wfruLU8uLwFBGOWz7jUIfkpGQacUhI5qhisIUizqAYPLE4vvJ3rvL7/9A6jcMdvvc7nud97xESyVjbucxaNGB9tcfJ1X0a+4bu+x4DewcL6t3Q7B7BUonqlufT+0pRXAdaJApV74uSkePSw6MSxNPrlWqoTAGjBKJa3HM12V+1LDGMSxKrjnW0099atoWOlMyls75UEoLLFKFNwbPPftPncfbL3s7BRy9y4x/9LI1HTyCak9/ehajw3LCVvdKctXgZhfDcebPm91E4d6KYPhIeRtkUsJvrUElMqaro7h4A+eMnwpoUBS9fF4XnDZCeDfy80g5eWWUCYRnxU/AuArBFkvmkTNqM4gum6djg8XQ2OgQRGlKUzUbY9iFZad8niMDAJZS5jMtwVQy87U//5zSee5y9n/pVDn7+eeKT6/huSt4NeQnjQwERzJVbpQPU4mTHS8yFyzj8HOkVtMw4ys8y8ADtoe66Ksp9Aj8BnBWRzy8PiMj7CPk1fmLZRha5mM87VlsKcuqyxS7zMnPJTB81nDftVi0LJQ3hr/6FE/zA3zjLL/zKgHe97yL/7qfDhDFyb61zdb5retQP59gu10uM40jwS34eAAFngs/KNbZUGJWPsybMopodfAZHQTZDPpZyIVIj41CMQviVkEx9tLlU6zHFUtOKMxR4ormHjALyghpuzKehs6jw57T4ifCNH/kHW3znH1vl//hHPb7y8y9z6cUht9MVYlE0V8x2TqlAmxYephWTYsaZ3id48S5oNpFhuritapWJWrqKLCeEw3H49IGGCXpMk32aVkmCxA1WPr4Nqcfk4BJBrcH2obELjVsEK/nNCBkK9rUmLjN099v0+wndYZOrB6sowi8fPIHgeSFvMVAlxZNrULoNNCJXYd83yBWGGvJplPOriLLS8Pzjf/sIv/t3Wn7kr1ziz37pzxN19zm7tsdbz17FYNn+z996ZKLPhfd8FM48mtXh3OtxwEPFp8tlmZe5OFLsBn0nIl9PMA4iH5J2mtwgCFbDN14qM2H49LPgd5/5BEVINUKxOCy2EE77mod5lwiHKa60E1KALb5jUawo5x6x/J2feo7P/E0dvv8PfoS/+vs/QtvkGIFGkmNT0FYC0WTs+ERmflPy/STDLUUzOx+nPjP/dB/VSXX+dQvhIeJTdzGUGfZXrqE3bqC7u2Qvv4bvD3AvvYIOh8jZM5iNdeTkBgCmm9F+fgcyz+anHLbncQcRchCh3jIYRORDS3+/gXdwY2eNYWrZTRscpg2GLuZav0PmhZvpKk5h34dym0Mitt0qhpwr/gBU+dwGNICT8T4rZsBmPOBs44BIPC07JJacZ1du0jAZJ1oHrMZDnv3ACT74d76Gzac3uPgdf4XtH/5n2M/dQ9cyrr9/lZ3PXMF02pjz52rpokH3XPw9ZwKTBThVGWF6zhz1oaM25uYYX6IE8lx4wGXT6Xd3JMdH0SRORZsmzRiAkc+jqURwFtNFXExNyrh+03Qoqx3tGTwykkalOBf6SgqliAEQQ67jHZMv1HFezWhvPh2SDIaNL38v5//E10FkefVbv4v9//Bz4UyhA7FllUGdvxc01ox4a7paSXWO0zk41fmvlH9n5s1SUa3jRmfm73IculxFFOCB2kPds6oo9wpEpA18ZfHzEWBNRH5n8fvHVbUnIi8AP62q3wSgqj8nIv8S+GER+U4Ceb8H+FlV/dfL9r3IVb1MzDbjhl4tF7lMXgrvQcav3kj5W8akauH+Xt0/FX16LV9Nh2qZUT205IvXM+gzy2mg0NCjRJEQobz9LQk/832ned/3bNP41pv86Lm/xbf+8d+Ls0VJ+2XyY1Qm/2VixI6kR7WP4+TpmLMIzYDC/eIidU+geLSjqhHlYRn/rv49cekyOFRJWvwq09pPm9rnDvA4p8YHm80gGXzO5yT80797ni/6QxfpvPwiv/38r/CH/l//JVn1kulhTB2bSGBXvMB3RrP5dzzdXm07y5AMHho+rbuDmQTB1UTFRyRuljgmPnMSN/A0t3MwQv9MjLfQ3Ce4/nvQdYNTxV4vvNkOEjRSDrsN4pbDikMQhkUWfxHhprd0TEaOcKgJipJrsIj3NB4p4kzh/m/EIjg6rTDQL/myBt/2Wx7hs77+w2y80ufq+XW+9bf9QV7Z2AjKQKdjJVzl/qarQCyVVNkukVR5OgF0de4s542KUnCZ5M4zcDw+vT+Th1ZgoaVVj8bxu/uwuYFJY2zfkScWMoUolG93TWBACMx1AqmgCWRDi01yBv2YZivjII2BnNRadtMmraTP5WyDx+NbpKo0AV8MyGngSKOQEzw3glivULFcthueoYev/PqTvP3sU3zF7/0/OPnKIRfPbvHfffU3cmXQGFv0V1fQg8Pae13Kgj1NM18jC5S/68IAp+laFzZ1nA3jQzKfVkFv3QYU7SscBiu2v3Y9nBsMMOvrcOYkvtkAVexhigBR30FkC4u3wQ8MuiKggssiBCFPIzDQHyas2JRBHtGIcwRl6IOX20ReDhUyDIkM8cio2o/XFkZgxQwYaoJ4T2JaILAVdxGBVdvn0LdYTQZ4NXgrbEjGO/77D3J24yx//Q//bS5cvs3LJ07z7b/tGyCKAj+VgngVFq2v5blphW/N7wkHOFn8e1E7x4aHkE9r4fW6xTeIdCKCiS1mxfI53/K7+Lv/94d56l/+Ky62TvIn3vsN3H5jhvHmwAPGo/ejx8Zp4B8Xn/cDb6/8Pl3gRMymqP3dwE8DPwD8MPBLwNccq+cFz22ZGNCl40S9ogcHANgTmwBEr94Er0T9kPVfFFo3gwZQrjXAw0d3zjFwEbka+j6UbDvIm8V3C6/CwMdk3pCpcOAbKLDrc1QhJ+fUCctv+ss7JC/kiIOnLt/kb/+lv8/O1z4+y7fz6DG9UMxDW5YeR8G8cS05DmCUBPOoz30PpYcANQK28yOrw7yEqgFHanE0LaLKtIjfVsZJZEfXh3NmRDMZCdul+19vVEquRlFQ/PT4Qgln0DJ+QMdIF56M+OCfu0n7hRTj4IlLt/mfv+cfjVT6E+XX5lhifLGplCNoxpE00/k0qyjv5uKUpeaWsDY+DHxaN7y7ce2tulyPNmGZZ+QnrRquLRUFZQCkYySwlp+8SJI3cEGn71QmzocmZXQOJt2yy67K/9/5WQ3e/503WH+xh3HK2Uu7/PV//P0BI47m3t+b4g69xCZ9WRfqY/Dpm269OQpmQoBqXtOFuU0uXoPXrpDsZKy82gMj2B6Ig/iw+BwIjT3BdCN0O8YPYobdmGE34fCwxeFhiysHq7y6u8W1/jqfODjFvm/za4NHOXBthsCuN2TFjNmjwUAtXRqkxAyJyLDkhXkDlIY42jKgaTwf/ELDV3/7r3PypQOsVx67us1f++ffz8pHXoPcY05sYk+ewKyvTd6fUk+Po8KmjqDZDNRtCo+6ZAk5+2GYT0cwFRsipWdAHtZt6YREotpugDFI6sZK+cLy2ztfOPK3/KhJtDCGFfRsJME7KInCRGrEj55lywbTwmbURUTZsn3AEFEkGAdezUNOhZ5vApBqNAojSArzdl/L3C4mhCGoEEWGrc95gr/+Xf+IJy/eIvLKU7du8Df/8Q8E/hgO62XSgkdrPXmn+LfWLlODMzN1Tr8Hc9qZ8Po4Bjw0PPobAEwS83f/2U/z9I0bRN7zePcmf/GXfujNHtbrDg/SXHpsxYaIPFX9MC6n+sj0ueL8sUBVX1FVmfN5pcC5oKrfMHXdrqp+o6puqOqaqv4eVb11jPuqXUjnuu4vamfiQB0S+J294ObebGKeegzz+CPE+ykG6Fz1tK851l5Wkl2Ir1riniHH8PM3n2DfrXA1W+PlwUleGZ7kVr7KtXyd69k6t/MVruXrpCRc9W28Qh9HhuLx5Dh4McMU92oUnrxyi/7GKdyZcYbtu6JHdZGYxplDj7l9zFtAjvlcRkqQoz73OywaY7kgzxFGxzhaj/PJV8B7TC+DzGFST9L1iCqdqw5UaeyBerDdkNvAZwbdCy6Fn7p1ClX46f23kmpQrqVF5vSDIhHevg/J8rquESw+Gtz9VaFf0aypQuulbKS9tKpcuHKbG990oar/OJImqro4DKRq0Vmo2JxDsyoOC3B0yU3j8nz6pscxHgumBcWK19U8uoxK5w2HZJeuQp7TfHkb003Z/OgB7aspresZrW2HzYXWZYgOoHM5WMqbFy2N2wbtJ2S7TYZ5wkdvnKafRfzjG5/N5cEar7lVLufr7PgOAyIOfYsbboW+j7mab3LgGmz7Jnu+RUrMoEiQVWY4WjVD2hN8Chdu36Q1UNwXvBu/2p68qULwnSkJXEeCOpqV189hJZ3e9NQijQXwWrfsZQTzh2U+rUJVYT7v/Lwl78QGAqQbcaBrdd0qvn1c/LZQ7iJ9HgJIJAr+9K0kQxE60TjPybk4GEEONXDdUBPKHFuu4LzSUTsSV2wix1NbWeli7ZXBxHz66MVdzOEwbILX1kAE361UnroLeiyNI5NdHdnWxO+Hf92fdkU3E7LR5P2P3f/La4IHxQTdypDSyrOdcVOfCYVmFC5anind/w2+4Lfxg/ZjrKILKZQeVUKX149/m+LYhWs7E3z6xOGt0fo57TY/oocyMqJMy4PVa6T8e4p1anHK36NQB6nFr/apFX4qj82EHNTBA8yjMLuG1xmSZhTCdVVCpg5Ne3EVWHP7HhvSdAJzcnyKyGxacaGunfrfT127iS3atCiP925OKnLrh3p8w8MSNJvxdPOT91rX16Lk7nPhAZpL78Rj4wXgU5VPmZzzR6eOl58HAu5ZCb47yEthVjuhBrkPAogoJL0wlKhQUhsnRYKbuCizJey6NiD0fYMQmxvjsDhMEZhSlo2bXFJ4OqaQkfAGXjlxOiw7rXFk0utVkvDYpbXuJG/Jww46R2E0NZ/VpnOZnfPG53tD4ku3sDf2sbe6RKkS72Q0t3OaO574AKKe0tqD6FCIbwtJ3+C3E1wu7A3aOG/o+YRf6z/Krm9zw3V4JTvDrm9zO29zqC1u+xV2tclt16KnMfvecqgxA7VFaVlQDNlTFl/h05fPnmL/3afRpBCyllBuTQhwd0ozJnHmKuLKPmom93nH7wLue0t46cEy99zox2Icda4QNovyg4dZmCP3HdZJSDhWhKM0t4v5MqXwJiLkNTAaPDBUGPowf7aMQzEcaESGIdeIQ20Awl6Rnj1TS0jLWIb3mRELRAT+6D8VjflU4Ppj63SuBLdpyd1481bhk9mbXZJmOok/g1MVsBfgLFSA3ifCyesJMv1MYGZDUkI1ZrlukwMgRZ4KlcrGcPRMJ9tVYbSJK7/Ka0qBLCTGK3NplFBuFHX0//QDNJQb0NmHe/Bkc8SnToRLJ9bDxlBmCyFX56u5cd41m7jROKo0o55m1Xjz6c3kTDvMbiZbK83aaz4NDza88sgJXMErToRXV06+ySP6NBwFdXtjMYI/OCwxgrewNdAK761c3kaEUJbYKzYbb7jtXpg19nthPQ7ewwAySl7rijwZWeEdnHkbDFlB3QZA14X8RTd9SBSeqkfUEwPrJgVgzfYwQMOmCFr4vIW9WCzBw6gRZRiByHpElJfOnRrzKMJr7VPk57ZCUpByfS3m1hE9RCaTd9d4B07IiRKUDjMy6XTuoWnaV2TdOjmgDEUdyVdeH7o91J0oNr4R+ANTn7pj5eeBAL9Mfow5bujVl/o4tYvdlWv4wZD8hVfRWzvYoSO50cf2MppXupA71l9IsV2Pu5rAlQZ7aYufvXqBwzzhan+d1Bku9jc4zBJupivcSNfouQYvDE6SestHhufpuYhXc9h1Sl9zDn7oFPpMjFroPx3zkx96G6dXd0i0g1ldWUwPtwQ9lsmPseDYRB/z8nQsGEcdHMON6sGyhN8rKCe23IWJ0StShKSYPBDGFFUpjCvOeUIlCiTs6ADng2tp6qOQE2bktRE2iUDYLGqI0S1xSrd/VEa2nes/uMng6ZBLYedCmz/8R74u4CxjAXlA4UFy91sExsrIy2VmY1QsCaJd3AABAABJREFU2FVvmToL2ITlwphKYrFioxQHQcYbGZ0b2SrLilKNIj2y8RgRjBlnmluLBpT2RCVErsiohYAT9lVatK8Ibmy9LPp8/vvPjfj02pPr/LU/8WXYUkc8TIv7K4Sa6r1WZYkS525pNhVGUGe9HHl1FELUtEzT7BxdYvKB59NjjK3eoLWoAa37uncDukP42e99hoOnmjgjXH5ig+/6XV9aubl72/8kzZZp+/j9L2No/PS6/+DBH/nT/yUvP3qCXAwvnTzNH3v/73mzh/S6wwM9l84BVZAkBu8hd+jubnhnn3oUALeWoE5JDjLifg4eGtth/Vv9ZISq4nxQZHgsXi0KpG7skaSEpJ+o4jFkPkJRsqK8ysBHgKfv48K7TXAKguctSchNcy7ZRVGa1pEYh4hn1QbZYKvZA5TNVg/Bs94ast4c8C3f+XW8fP4kuTG8dO4U/+N7v4H+O07jE4ustpFTmwDIqVMVelQeYsXgNkEzr4hhwgg549jhQ0L7RcayUllR53lf9aYpDSnLeG08SGv+sZOHqur/9noM5E2H6QdSMFZdcsARSk1SuGPh5Dn++o0gkHa7mHQDMo/p5SAQdz1EBusUGVi059lPWwyc46XuaURgN29ji++2zXFqOLRNjCi7bgURuO2bdEzOvjoSFPuEQX/qCXIM/+fBKYz3PPNPLnLNbOGSuH6sJT1EZl+CqXMTMYpTbY3OLUMzlsOZFzYzAmW08V4C9lT1W5ZFflNAahREOnkerZkQ5zwTGg3s2TP4nW38iXXEeewgR6/u4s+tY4YeNbD56z26j7ZwnRibCK4NbCvd82A+2iZ7asB//NQFnjx9k5PxCXZdm3ONPQ59g1XTZ89vcMrus+tWWDM9GsZhnLJlD7lJxDm7x2W1nCDDiMc/EXH535wiV8PPHF7gt/Cr7P7YCvatz6KvXEJ3D+bTo+ae7xnNahaaI8dRasXvHZ/e57DgBS/OTWDcN7c9Pe6jBzZ8POZXfvJRfr3/CL/ae4LepVZNs5V25zVZG3c3Oa6ZufW4UHvNZL9HWm8eAj4dvcp+Krkrs+9wKUiGUpulUDjZnu/1MSttbKZ4P1lJCQ9iQXNFYjBeyItkuVoolnInxEbJfFD0BgE9ZC9K1dIQh5ADUUX1VpV+AQFHWaUq5C4a4wj9x2P+xU+8k1/ef4zne+dJfynH6TZShOuJgFqDOJm45zrjxLFoNhLQJ3G885U+avhexvmNlNlx9A/6s9dMDIIHft3X6eTqC1zIR2LVIjfzQviqzruz7cw+i2nL8WhzRJGjqLKjGXsLeRjZv+vXXp04FH5dPrvJ7/ib38bwY+vo0LL1kUM26NbeT12owiwv+tlz89bwuuvvNKyiTPp/lOHtIZhPgZmlMzp7Cm138PsH6P4+agxyoQFJTO+Db8edWmXlYpfo1gCz0YBHI0wKRIpxwka7T9TK6aUNvIKIpynBCBFLipFxeFOuQiRKpsKq8XgRVm2PCKVJTsOkZNrknM1Jcew6x5oNOYgMyorJOPQx60kX52MUj8NiRFmLhxhRntraJrEZ+40m15/a4Gv+5rcyOGwiDc/av2njEJL3vwWz68F5ovYK3hj0xhR9auTO0c+qcWKOOFDFmZfse2J/tCAh+Ou0h3rT4eE1fd4B1JdpnHzaVaFvVApSa66fg1NX4ke9YlY6xY/CLVUJlkmFfK2wOraCW3PV6ljyfmLCsmCNAzFFrfCA05SQ0b8lwcnfIiCWVIVUDQjsfaITMvhnWf39LKJHRXCZKLFZo1FULcs+FfSoKRVXFZgCziRdp8dxj3MX3N8wb+9TkGhhvhGpfMn4mD1zOmh3Hz+PWBt8/rwf8Z+oEu0PQ5iIC3lZjFPMMGho7VAQFfIswqthLRmQa8RQE/Z9C49hz4ewqdtuDY8pkt2F0oV9EsDgNIQbuJFgFEoXDjTGW0PkPSd+LA88VwjF0/c2c8vl+6o1OHdKs5k+ZvFncJYtU/iQ8OlSlY8q97Gw8pEE5BkBvFqBaeq7/MNPCPmgOhaGyiShVad+nar9OBtrO1Z0j4dTVCEpzopRfJnAtGCOiepZfo43XJ0APhr7MWk2p52Ja+ZsONNBxpGwPJ/e95bwifuf826V3jbz3m+9ch3NHcleTmMvB1UatwOtm7fC5j7qE0KmMsH2BFSwByEcI91P8Ar7gxaZM3TzmCu9dQD+Xe9JVCFXiyt4OC+sl30f8hN1i9xFQ43xGty0c41AdMTv6yZYH9+9ehmLw7+7yeC96+AVfyOkI5MotCsrbdTa+fQ4Bs0W6cnqeHaiXSnewTud8x7w+XTi1Sxko6oL+cS7vn8QfvaGYf0uKx6pIlmYkNpXfMiv1pfRswlBdmOZrD+0CELqAm85taM5r+dCophd10QRdnwLUDKkSAgOj0RDAFpmgABN40ahfOXttOywULo5BCU2DiV4xiU2jNWeGGAMHD7ewEeCabfC9RXZBSWEN8DcNV51LAdMy5bArJKuRp6clmVr21lCHpkLDzCPljATnpckIcRMdZTgtiwt7U+ugggm98E72GtISA+YAjW2vlDkh5WVyqckdXmkyhSmENZiCdeXESGKISq8LdOCoFGBY4s8RFaUyIz/BohMwGlGjsgo1ijWFmkDGmGOd62ik04TkhixFtNsHBkyv0wY/lKh+qMDxdeiXDw1suhSoSgP0Fz6acVGBWaebd2zrpkUx6fkSJzZ5uqY7Gicubu0Ob0cDeX0cPRLs+jYJD3mXLcgvn4cjzsHf944joAHyY1qIeh4Ypogiwal2cjdvS5co8TR8d+IGU+gpVBbnFeR2XreSRB2SlJ5M+v+v9rMgkAtHqZc+8vWoiKTRsCxSEURZ4rBSoGTqsVg8E7waREGkOeT1pcKXUqohjOUCrgJnp6hWQ1jaRlWQS1dg1DESMiqa6fUmD9s7n4LQef8fSftKJCmaBpiYumngBIdpqAaPNt8wCuFIlPszeMdAQ+uH6EuhEod9Jug8Av7F4oEthavglFPruH9yIqa9ofFhrFfhFZ5JeAwxmkUZVieTG4QiSM+M4DzxQAePztDg7lsMC04H4GzkGbLoM3pw5UVaBbAMfj0/s8FM50jpw6nPFyHI4BTdHsPgNallNaO0uhC+0b4TvpAJth9MEMwB4Z412IGNpR/zQ1+GOG8sN1rkfqYq8NVBGXbr3ApX+VAE27kG1x3axy6hD3XIdWIA98kJbhaK0JPG/Q1ZqCGnBgjSoQjMSHzViSeLT3klZ1N9r5kC1oG7fXIX7uEdvtEZ09jTp1CVlZgHj2WoVklznthEvFy/p6RJcbnaq9bAh6a+RQmFJGjXDyVsfvtnaAcvbUL/SGaZfj9/TAvDsM7vfGJFF8YoMbyavCosFEoIxXmOUXV4HyQCbpZqMJ3c7iKKvRco1C2Bf4TPAOfIcBJuwsothicAI0iV0GryGsQVnbPSpQTiWJFR6GBp9vBE/PkYzsonvRsTHoqRo2BR8+M71lBTp0Y8Vet1fkImpXnRjBPcVnmv5uSH2ZwjggRmAcPDY9+Gh5aeJDm0k8rNhjPZdPukNUs9CNtbp0FrDi/KC/FUeUiNcvHlsRp17UspMIRL4gPFptpy2Luw+5K1eJVi+Q5ob0yf0GupdZcUPVEMrZHxitZGF9l8p5XtnJ5elQ2nselh188DqmMY6m8N7rk54GGJXaT98093qud7930ey+umD27jAPRwuaW49P73hK+EGTO3wtw3K3boIoMMuilmNtdyHNc0xIfeuKBEnU9WQtcA8SD7QnRDpiekN5o4jLDpe0NvMILvdPczFbZcW0uZxu8mp3kWrZKX2O6PmHgI3Zdh0Pf4tC3uO06RfLbJkNv6WlUODZ5VAVjlLNmm6u9DXpfNMD0UmRj497lhLkDmh2rzRKWVZ48JPPpUhawBThjr7DxRs4US1ZR3TIIfYBU/5WuvVpdVMcJv6mYGfIiPtwztl6Gyijh2HiwdZ/xGlm2Z0RDbLqVsfKiLBsa2VF89l1ZDZeh2YJjdQmGj53k7iHi0yqUuXgmyOE9evkK/tZt+MRL8LGX0F4Pv9bEqGC7GXaoJC7HtR0+J1gmLMTtDGOh2ciIIkU0SKOD3IAaUm/JvCXTiEgckXhytSSS0vVNVonI8byYDcnJ8WrJxaDq6fmYthlyNjkgMZ7ttE2GZTMe0IkGrEZ92jalEw1ZsRnt2HGyfUirkROfTMkayu5zbfyJNmyujfjVnj+HWV8PnhyF4WCRZ+SIZvOUbFVemEYxZVnwkAOhDkYGjOlQtGXgIeDRmTCh4RB1LnwC8dC9kEw02g9GCUVQEdQUSUEVpMjplvYj1FMo2YIjcZoHw8PhMJQLHjo7Ksdefg8LT6OuC8q4tDBceFUGxRibxUM0hUVE8ITEoZ649HAvlHAtm45wIKQmbUVDQGnGAcetOdQoeUPIG0LVw1Ta7Un6xHH41NCszhN9qbLvowPF16KQtdpqNEsw2AM0l35asUHlWcwT8hY9rDqrQg3OkeUib9xGB2kQLvYOgvv/jQNQZf2FLDDj9QQdWAZ5xPZhB1W4crCGKlzvr5F5YS9rcJC1yNXw6mALgI8Oz6MKV/MmuUKqOQN1xHje27gJQPsPDlAU02wyUncsoMfcafuY9Fjopqrzx6GVF2mpjeQD9FIeBaWCadpNtYxHLv+eBhEJFp1S8eQ8qB+5xgflGoVDKRjvZ8IIGOTBclFayL2MFFhSGKl3+g28GvJCyQbjsZaZrTMVVA1eLV49ISY8IDml+O1RhJbJ8XhM7InaYaegSTLj+jkvzjv0P49mvqJAq6eZOp2kWbUPZWwpksXjuMcKuPvWEl53m4tK8JlSUpy6cALHmJJ5EMAOM0QVo4pGgvEQB90seQcwjFxb7dBgnIHc4F1EqdwFYd91cFh62mDXr+CwDDWERoWymsJQGzgsKREpSRFKFROCT8LmMtgnDU3J2R2uQAOiYR7igONo5v7qvHqOR7Opneo8mk00ONvuvLKFR8JDNJ8uTERdzluVd3peCJDuHaBXb6IGTC+Ux5as2HD1gxdRNIToMMyV8TbgIdo1kEPai8gHhuEw4uZum9wL/3H7cXIvXEw36buIfZcw9BE9F7PrmmTesJu3cB5u5CsMfETXJfRcQq6WfZfgvNDzIURl1XRJJGer2eM9Jy9CnrD3xW9BY4s5dwaiCDVF9ZXBcLw2TG9aqjSbXiO0BmeJJOJ+2kiyRKLxI+Eh4tO6CnEzip40bBhJc0iLBbko/2pcWdep/K9QsAkYG4hQutiPO5lWuIVLS5yw9Am2mMN7o8zxY8WcFniNQssXkogLkQmhJ0Z0FC4QmTCOJApli00cJnGfmHAfMrZkSeHqLxXF8Vzl2AKa3ReV+h4GHp0ao7t2E711C7rdsHYPU/jEy3DYZ+WFfRo3BqiJ0LUmbrM5EqGSvuJi5eDGKoOd8fHBsMl2t0U3jbm4t8nBMOb2oEU3bZATkfqYTGNupW1yNVxJN+n5hB3XYtd16OF4KVMaxJwzDXq+QWw8qkpsM1Ztyom4x+lklxU75Hxzl6ZJOds6YD0ekJicWJTN1pCnNm7SjlPOrB0S24zBOwZkT2TsPx6x+44mNnWFnC7YR85BszHa70SPnCN65Nx4r1QlYdV4POeZj+XJxbkzRGRhfg1gLLN+WrHxcMK85ClHulzq5N/LlJSs1QY7j//ky/D8K/iL15DdLtF+HzPIiQ4drW1FM8FdbODTmGsHK7y6s8nN3iov7Z7k4uE6n9w7zSvdLT52cJpX+6d4ZXiSi8NNruWbXM632NYWl/MGAzy72mNHBzyW7PNjV97FJ9bPkK/s4m7cKl7AxfSodS+dvr8l6KFz6DH6e84Lvkypz9F5Xf7D/W4Jr1oXqlD8HinQaqB28lJw12+g3oeEnMMUDrtot4t2B/DiJfCKdAeogDhFHUQp2FSRXEl2QzvNaxGgfPT6WQZZxGHe5HbaIfOWK4N1nApX0nXy4rvnY3o+5rZbwStcd0FJd8u38KqkRbWUjgw5b3fJxdL4b/YAxZw8MRK0jloElqLZHBZaZsJfNt78qJaOyaf3LdQNbymrw/QiP42jiu/10PLbe8Qpknkk95h+yG3Qup6BBu8NcYrkofwrCvSDxWfvsIUq7GbB+2LoLakPlp29vBlw8hZeoeviwlpp6Pk4uGL7YHEZqi2UZVrY0D1nm7uoh96ZOKz15aauyiZzcmjcc5pNnDwa516GS93vfDqCWk3cgnPzcA+6+N1dfDMaKX5FCfkBHNg+2GH4TvYFkwlmKJjMYIaCZoa8F9MbNOgOEg6yFtvpCt4LfW1wMTvJQBMOfcKudhhozK5fISPiwLcZaMLtvENfE3qa0NcGQ40YFIq5HEPDeFDYavd4pnGLaG+d7NF15KnHMK1WEMKtxff7aL8/X1Ct0kWnjh2HZsvi3AEvPXR8+ml4KOFh5VExgt8/RPO8kNGCnGUPBgAk2ynGCFkrIm/YiWu75wEE7wyCkHth6MIu/HAQysXuD1vhXOW60IWQFlVRRBUwxOSEQrBCJKAYLufrABy4NoIhkZRYHAZh1Q4RgdU4jLVp08KDzRNJyPO22gjeGqX3uGt5iAQyj6aF91up4DLBC46VFYiCnDx3XzM9n9bgjEKbF+Go1paUnfB+U8b7vQXwoM2lx66K8ml4HcF51GdgLeI9iCDOQ2QxmQ/ugV4IO0xhmEeIofgOJY6M8Xg1DH2EEcfQR1gDqUZEOJyOcwI4DZrywzzUelYbNg/H1DU/GPCAZ0cfQTFxzGhiazb3MuWhMPo9PfmkKe61iwHn+ZdG1jVjDSIG2+ggIhw80kZjS5xpiClXgVhgCClgciEyHrXCxf0Nzm3s0fer7OarKJ5X+jEiwqVhmHZcKqxGQxqSs2JCDfGBRogIh5oQSU6Ox2DoSMrP3n6G9JxB+l3ECbSa+G5vpECrzw49psFCmuks/lyaTdF61O6icRylOS/hAco8vTTMs0yUf5cL9CIcH1ZNf/MWrHTgsIvZWMN2V2n3u2hkkNQTdSJWXs45eKpJNLTkbcGcsOg+9B+x6MDAabg02EL9Dh+NznFpuMlqPMCpkBjPwFtORgfsuQ6bUR8HNCRnNRrggfORIUdQ3ScyUZhbxRGpsNUa8JXNX+VvfewruPVZbU7evkYryyfvb4rHwg0el2ZL4Pgauk6Po6ZS0JEZ0uHh4dM6pejUvDAxh8x5diNhc3M1WNJKZMAlhYW5kovTUKScLe0mzaD4lCg82Cjyhb3bsxX3Rp0rOgpLCV2X3+FIXLRXZEtC8EFcAOIifPVWvoYi3Lq6gQV8ptgyZMYWG4xub3SjM0nDj1prpmhWS+OpubJ2ftTJvqdx4kYEAxbDw8Kn1CszZzxp2g20OyyMPcW9Ow9Vz6wcRimtijRYmgsSK94LYkKZTVM8w8wJkVW8hsil3BsiCbKk08CTAxXaAgmFLFAmPaJMGRquNxLO+aJayiQOxJIzLObTXC0mcogJPqR5Q7AHQKsBh/1QWtOBb8ZozyKZm6+oXUCzN0SpfBQsx6frIvIh4MfuN0/Nuo3xaP0p3/FyXoyC/CdJhHrFtaNxCXcCWbOgc6C5loU5z4WEtjrCgsgGvmhF4dtI8L4V3GgP04mCRWPdDBCUtgmhew6lp+Gd6PoWihYJRBWnwSPSF6EyEHLJjIXE8E6Uy2Sah/uxe8GQkWyn4f2regAPBqgq0VpImur7Q8SaiQToJc0m15vZuXempHudzLqossoyc28dLD+Xvul8emzFhoj822Ogq6p+8Lh9vBkwbyJappRjeR6tFxRH58vf84TRwiVI2q0gxAxT5Bd+HS6cZ+1Xb9E4v8Kt3/MW9CWDf3xArx+TtFK6gwatVsrAxMTWsdbuc7O3woW123yk/zjPrt7gl/LHeSTZYZhEXHNrvDW+wQBhVQz/w1P/kv/95ffzyXe8jbh1m9bPv3x39KgI3XdPjzldLPtcyu6Ouc78RoXZxVlhOIRmE5N6XGQQxzjhZg4uUuwgZIa2PSGPgpItdRGxcQy8ITGeoY9p2JyBj0lMRu4tqY+ITc6ha7Ji+hz4JqtmWCQMDdpzXyxop+IDLqVbpBsJybVstGDe+c3e3eWvBzxUfFouqoumzXLhnodTN08cFqX/TmxQZvOXLAgIUTdYSuKegIW8KYiCC8n7UVNUQxFYX+mHDgRcEVIy8CGt3a5bQYDUG6xRjCgOS0RGpgaRIORDsOIgcOhDmded/RUOb3ZAhMZHXhuP/zhW6oU0m6OgXEQzKseOGscS43zQ+XTkTT4tONYcCx6Vk5qNGRwZV8uZdlUfRapV3A+rfwfU2bLy00nDJ8q7zrlucoMhle96nNE4Rt/lzwpO9f6pp9m0dF29phzjUTSr82kTA+pm8QHiRnykYuMYfPqmC+PHgZKWE86CkSX/3LdjX7tOPCBsoHo9ZG+A2+qAEVQguhnTRhluachl1lDy/Sb25IB+FpMkOWkWkVhPaiP2eobzmzsMfURbUm7nHTbocktW6PoGG80rfCJr8p74kMdjw8uZsmJ6qGtxaFqsypC+ixmoJVJhJc7o5kosGSBEBoxkRCKcSHpc7m+w1sy4PWyzcX6XpJNyeGOTG59hOfvhHHnns+jHX2L4+CbRzS69dzyJ3T6k+TPPL5QFS/6plUml8pbMk0lLJeSc6q2jku51fRwBS/LpfWt0m/asLvlzkWJypOiYbqg6R9T1NdnV1DxZP+dNJEYpJpURxkiRX6cFqOsjgBGZ0F2MFS+VluroUvP3xEUVGiwz9y5ar+5m7p2GY8ylbzqf3onHRpD8xvBW4CzwCnAdOANcAK4Cz9/d8N5AmMPTE4L3HOtXtfrCvHbrBJeZPgBpxJj1NVQVd+Nm2Ly9dBlrBd+JwAGR4PIIBNJ+SKKTZpYoDqUGe3mCwXOQtRCBoY9o2KBhH2pMxGCkrXzFtYmMZ/jhLYhjZJiPZ6n7gB5zn8uUlZyjEvk/4IL4BMyxtFZpVWdZnHkkNbSdtfh63LXrmMcfoXljgFsJuQWC6SXC7zlYMURXlP4pJTpMcKdzLrfXuTHocHbtkKG3nG4cMtSIlk05yJu0bUY7SpGhcirp8qpanm1dJ2WT83aXTjSkQc7p6ADVUOL4q099hL/zHz7Iq597irVfu03rlf7UWJnhx6rVsFbYeF1oVjOOuuN18JDwqSlLDU79DVWhZ6xIm8GpvN8zxwqwSRRs0JU5Z/QMi41ZWcVGpbDCVFbnMp67zFcRXFUtvjKZTG5Ag4cbYgE33hxjADeyUaZ5RGwU50DyWRqM/p7ih6VoZsaC9Z3QrHrNmGaT83Wz3YADFsMDzqdjj5eaG5l5v6cvZGbtmlEIj7QZjL4nrplyI65bC8f2wvrfNUNd6J5cN9ZRCzr1c2FI0/FoNiqPfBTNasc6b9yQpzlHwgMkjB8F47mtnl7uyXNIZNAzJ+BaSNIocYwRcIW7RO9MjEGQfUXXit38sEhMmxmIIMst1sAwF6zawssCQGjZoIxIfYQvlLxh7hOMKStJtRERTFEJxeAx4kEN+z7Iq53Ctd8VGtpQ5jW4+HfiIRrqoGGtkkRpqL4WCcQmVLl615MgwuB8B21G5CuNhTLpBM3mbMInLqvbLE7LD3PaqTt3JDzg8+mn4TcAPEA8euwcG6r6Rar6xar6xcBfBzLg/ar6lKp+QFWfAj5QHP/r93a4ryPonDKNEysrk/kcimtG1utqceUJHDNSBsyWi6wIIwqIHeP4igDqlHw1DtmDTYgVq0JkZSQ+GASRcpYPdZgBmiYsIpE4VOyEYnpndw31YHuFJbxurEvRwxxND3M0PaRUn80bx/RmchEoD1R82EJYJLRWN/HLtLEIaYRTcNXWGgKIC6d8EnTYIoAr0UMyMn+qtMQoQx8hwMDHgHCQN4Hg5uoxWFFSjTAoQ40AITYOEFomtJNhybE4b3jhl58AEaJfvzwe6rz7qdBjLtxDmh01jiMTij1MfPoGwD0jw7EbOvqCh/oRPUR8WuogJo9VlAMy+bsablHCyPVXQPYOw/pVQZYs/NaMEe18SaPSG2FQ+GPkYSLKM1suw9xOOyiCKyqimcJSr4wrjwX7o5CqoCo4DRUpFDNybMs0lIPdtAcIyokzezhVNDEhOSOMC7S0mmN6zOSDOR7NppUm0zSr6yPgLF7n00E2c83koB58Pq3SOdB9vFBN5xbTR06iCHE3CxeKBEUmlO5lDE4FZbBbrbRZCp9FFFIZ5i9F8oC4UDgAtGxQJnWiQPtN2wUxNMUXPm9wwzUA5cB3APAEt32Pjir4WAnCnRY14gWtKBhCX728gQLDm+0wjn0/5pd2I7TdtsEL5crueOATRJmiWU2YXakQH9N81jA3k6ugzsAxJRsvDQ84j9bDnQ74bm90mevfTGK+/n0fNwpquUYfrLn0bpOH/nngT6nqL1QPqurPA38W+O67bP/TcA/hPuG5Nwd0yc/9DuVCzexGeaQA0pqKCFUcncIvYMKFusSZrsxQ6UOhTPdSNhBwYhmfK3xzxmMtcKqCBKZ0mJs4VwpcYSgG783oeltxz6vm0JgcaykF3S3NZCma6TycMuHuMu6pDwmfHlnSuWJ9rMUp3XrLjRaz9PODdHR6XL0hnJOyUkUWtnzGF1UWKk2keXhOobpcaMlNlewuN46esGH0Gkplh3MFTmEStAUHt5KMvIhH9Y1oPj2mnmOJI/NoBsESfjc0q5TjHrU5JQkNukOOhOX59P5OxsyUILhgM37U9ZIkWJtgdvshHLmYNmym4CDuKzYNJWBNqBZIfBC+o/1QGYXUQGpwzrKz3UGAX9i9QOoN1/M1uj5hJ++wl7cYupib6Qqpt1webAScbI2eTzj0TbZdm0wNt/MOXmHHh2oBscnJvSFrG06/9SZ2qORbK/jYMnx0A59l0OtP0uN1otki3Jm8HncCD/h8KguqFs0oyss8BVNhRJMN1OBMtVNbJWTqAZSGteqqPs73IiOs8fXVksSV9bjSbtWVvzrWCTYYCQcy8VumvCsmmqlLND9NlgqdZ66vodky1aTKY9PyQC08wDwKsxWMRmlIKmtSqMKno5M+Lzx6vI6e32guLZyxsmxWXix78hoOZuUyWOR70YoA6wrP9FRDau9cBdRTTVVqi/SjRZajCamzBKH0Pgqs8/9n789jpVmyxD7sdyIys7a7fvvbul9v0z0Lh5wZkqIEgaIlUaQMCzQEAhJpwIQxwogGCEMSZMi0TGiG0GrZNASIltDWkAQBmyOBoEESIE1zkbjIJMXhDGemu2d6ff2Wb7/7rS2XiOM/IjMrqyqrbt3vft973739DnBvVWWejIg8eTLixFmtaC0bmHI37+LgxakdU6ejqNmy5AGXhXxbEpmVFbiWaNZEWQjlgRbaV0p2mTXaWtWqxFmqarUKrtFcelXFxpeA5yvOPQO+eMX2Pz6Q5XKPs5i5Gc5i8kHvypKS0mCwhUV/vZDf0CIHCX2GU06eVXmf6DQN2f8bJTarvgqnYWFQE6wwOgv1yH1oZ+ItXg25xqj6ubl9b+8MMeD6cZhF1gnOa+nhL6aHv5geFwrwl6iKAiB+s79rAZu6Q7deuhqnbk+bxwJUz3395nx+cVrV7yJO3cfSrKjL36uPy7pDX4lm7fhz7a3BuYwK/RJ8+npvGKuNszYUX01obmyquW8RpTJLLza9uxO+PHyCFi5U8pmmKODj0mk6D0JU/+EUco8dQTwG8ULnacB5/8M7qMJZ3qPwoUr91CWoCsd5sFgf5aFiz7Dokqsl04jjYgtVeFzshetdH6/Ql6AQ2Nka8fa7zwDI7vY3o0cDR1fQY452l6RZs48LBZANNpGX4NPXtixxBc2Nx6oSuaa5qVmhuJTBAHP7FjYt0L4FETQJZfk6KVgHNlVMHhRthlCS2LiwUYwyi3iDZgYpLEUekRhHrhGPs30yTXic3eLIbTHyXY6LHXKNeZrt4og4yHfINOHIbTHUUM5w5PsUREx8B8Vw7LfIiMm84cPpPoO9Mbcepoi1pJ/dR7sxOjzDn5ehDBcphNfRrFl6eAXN5tpcKm+8erO4Kdyodf9TuLFw03hU+r36e73udUIYkmahmoidhNLE9jxFi1CtqbrPwcOwQE2OQ/Uya9zMcFQijdMEFEZZB1UoKsMDUpYUhqd5qLT3vNhGVTlXR6HBb+i+CcrbPTsCtDReaG1kEwFbJlzu2+Bup+XiGRlPp/Je6oR1X9/MUJTRGx18FPLZFLuhepr7whthPRiPwtrbmXnEtcFcuP86HFbg6JwOaUUD5fkNxdPrNJdeVbHxHvBvrjj3bxLyblwPWPFw18bMNTRsF7W7LjlLM8uyphn+7AxEkM+/E6Tg/T0UGPzKAd33z5Gp0HvPgofoeQQK/jzGF5BPIrJRQuENj07CS/1rh2/ivPCd8QNGLuHE9fgov1W+N4pT4e6/+AjyHO1EsEY4/ljp0cBfwrlk8tCbBHPWrobJZKXb7qY4LRNppf3VYZmZPw+a62rjaHT2vExW6qKeBd7MC4tXxauptesBVZi6YAHPvcGrx2HLEl3CmUvwahiX5TctiuKx1nH39gkCTN/dD1YWgZllR+fvdZU79MdBswbOhRvVF4PXe8M4p+hh6f6XLI9tCozFUtvGYO/fx+7vg7VoVqDfeg//zfdwTw/QXoRLLOntDr4X0f3wlO57J2x9d0jnzNP/yNM9hs6BgVSYjDsMxz0mzvJwvMvT8Q4HaY+DdIuzvM9R2uOs6PI82+UgH/DRZI+DfJeH+R5nrs+pH3DsBpxplxO/xYgOwyLml84/z937B9z7s79G7/unrfRYUm4szqcX0ozNaLYIzXbbcH4g59M1ys0WReqFVRVUQyUKmLn1FA1rpS8/qwRvlUFlVkii7te58HxcOX9Wl1bNNLuoKp41/2bXzebfMFxF8AEnLodds0LTeNGYW1fc80uh2UU4LW1+Cp/Cp/AaQqeDuX8PqgpL3S5mfxdz7x70ukgnhBFJ7pHTc+S7H2G//xxThNLt3kByIiCePIJ0mjAed/BOsMYTR0EGTQsb8gY6S1pEZTVIg0HJfCjDPnQdqpo7mcb0xPPcTxiqY2BGOBWMaOltqRQq5BqR+yCbujKlZMfkdE1Bz2ZEpTvJdjTFeSGyZXr7nkM6HuOE069sk93qcPbFbYpBxOTHHqD72+hn38AXGXpyeoHWoYQ2FFn4fhHODyBctdzrzwH/TxH5GvDnmSUP/f3AV4D/1RXb/9igNdM3bFTKEaiZa2VJyeZlC8w4V3pHBJ2m6G4fsRbzmbcRwOcZfjhm6x88xfZ2cJHFWYOI4E9BjeCOggtUHltiH+FRHp6HNj8c3yKxjm9O7vNW95SJxvRNhhHP/+PR76QwEfu//jWKX55enR6N+7sSPcoNQNv7/wqTh16r7OhzG/bL4LRtpFa1o6Df/QD5TT+E5IARrPN4o/idBHJFEyE+V9JEsE8SivsF2UA4Ou8z6GYcDbvc3x7xbDjgztaY02KbojMhsp6zrMvd7ohfmb7Nb975iG9mb/Cb+x8xZhsjsGUyUh9xUgz4yj//XU7/ZI9+1oW9Hdjuw/kYjk/m+eqC+3khmr0qnDb8awxta+qFWbkrJZSyGgdBup3GbyDLZrs9E3wrfScIVDZ1oGByreM/bVHGfPvgMea8xVLg1NROqLkPy2KuESKh1JtIgcNQqMWKJ8diUHJCfhhHqOIDwth3EVE6j85X3t8LZTt/IZotz71zyaoXcFbN+0twA/i0gk2U5E3l3KrEzWZ7CwSitGDw9ecMv3yHOIeio2z9+iH5vT5+0AUNuQ6iZzC+Kww+gtFbip4bigGkty3kSr5l+P6H93j3nWd8Z3iXB50zzlyPCI8ITH3EfjTizPXYicac5rvcSkakJiYST9+mHBaWN5NjztnjDud4DLF69uMpP771kL/kf4rH/1LMm3/Tkd6K6D0tMLv7YGMkjsFaio8eLj3vjWi2LodGy1q00tGtyeOX5btrzqdahY6V0HQbX6Jpec6jtav9Mk5g1rVKJ69zJk8t22xaQSuPYaVUlgm1x6XU2tPGWOvvs/6DPnv2YgWb+dxIQnsVD5XGCoFaO6xVDdkqBK/lnn2bYWKJdKvp2hayt+i+P1des2y/OrYUctAG15xPYSaT23feQkSw3Q5uNEa6Hezd4B0Zv/PW3HtuHj7HnQ2JOjH6llIYKAah6pj0CrAwHvfw4onigm6spT448I1zEWI80yLGGMWqIbbhXOAbQbEYKcg1YmAKUlXeL3KMaOnJFsq8p2oo1FBogqKMy0S3cZkIaTvKcaXSxDnBGmWSJ4gE5YZXwXQ9chSMK2x1Uec5/+H9cLM//gVIPf70CRwdz9Gspsdicm+/nNzbmEaScbMQ0lLOlXM4q5KMN8AYc6MKMFzJY0NVfwH4PcAp8EeBP1l+ngC/R1X/26sO8AcSVIN7NUBehMncBtdWjNTuPqYIs6jNSounl/CnAnkZ05WHJS5oNKHwltRFqMLYh01CYhyguCSuY8FuFJSbmg0T37zelvASXppr7zoX42YfPlgcBYhyhyk8JvcQBeWaWqnzAyBgziK8N6R5zHDSp/ARj892cGoZpj1ybznJupznHcYu4SjfIteYk2KAx3LqtiiIOPddpprgMfzK5LOYjnL3lw6Ih47o7QeYW3vIVh8T2bn7mLlDz+7vyjST9utaabbQ9KZxttcpQdMqaNUlLQmbs4XWL+S1aMXxHrzHHR7inUdd6Tm0tRXcXvMCvv8YnCd5eAaFQyvvIjHYcQEK0ZlHVYlPBbxyNOowzSJGaczZtEPuDAfjHt7DSdrFeeE47TApIsZFzMG0R+4N709u4Tw8znbIvGXqLamPMKK83Tkg85an/9q7uNiQ/cg7+K0uZmsL6YfQFO8UjMHcvtVKn4tpdrGAvhQ7W12yiYC+Dm4In1bQ9HJZZemSKjHhChyztxfWaCUkbVGI0jBfDr5zgvGKHTmiTDEe4uD9TPc44NiplN5vBJfeMqxUgW5UAMLzbAuvlqmPGbsEVcOZ6wHCSR4SjGbe4rEUaphqcMVINSRuzsrkzCONsaKcDAc8HW+DEaZ3YxAheXKGMYJsbUG3yyrvzXrduALN5tppPVd+IiuvXws3gE/nhragxKwqGlVgHh0hQL7VaeAwUwQA3WdFWMNPpTEfhMY1K717fCiRXbmp50WEL5MGnGTBhf6s6KAqHBTbKMpEDVMNKo17JgOEHRPKchv1td65cu33ZZbaKndBrcMSiMqN5G48xgDdByMQJd81eBt4oYyuxk6CMiT/zO32hUfKRqvqWG3GugWPwcVkom04rTzdZrTbBK45j34KPwBwzebSq3psoKp/A/gbImKAO8CB6qpKz68vtFm/YAPLRPOaNhxdxlnZRzWOokC/+R764A48OQhuXLu72K0B7isPkBSIlc6xUPQgfmzI9yHbVizlJH4IejtnmPXo3hrz7fEd9npTjvp9vi13+W23P+KD7C5f7jzix3Yf861Hb/D+T/0oyf0zdv/yNy6kh7wkerR5ZMzTYwOabZqU8QbBJhuSxaRCc79bNjmL7S724Z8dIndv4YYjiBMk7mMPRxRbCcl3n5H98Jv0P8oZ309gIsjQoH1PXhhMx5ONY6J+zngc0enmqFq8F3pxzsmkw05nyrPpFne6I55lA+4knpicU+3iUfbtkKf5Nge/ZYvdX5pgswJii6ZZiNGcI8jyPb80mq3bcPqLN+lr4Ybx6UpYFBI3wlF0NCqVvop0u5j9fbQo0IePYDQhjjoYBDvKEa/4JMJgic8crhdhCpjegmhi0IHjPO0yPopJOgWgxFEHVRPSGwlkU4sA51lCEgUFsC+l3sQ4YuNRhPvJOVMfERnPm8kxf/HgJzj/Z/p08m16511kdxvz8Bx1BW4cwrrsvbtItxP4dzh8RTR7QZzLjOUaQrUnWbJe6fKxJY/KlrXR9rv1T2OEoqlQzUP8uEmioPOQkLPDNdxANAlhJMTl3kh8KE+MEtkwd1gTfs/2Topg5qzeiSH8lpBza2Y910bCvAgFTqc9rAjqZhSJJiGWPVRAA58XmMjWif7maLAxzajDr+astU3rpJ33YILymsbxRctjb6t748sSz0FDrpLS66H5HOIppM4TTfKawbUker4VE40dyVAZlc/LOsVFM9lX0wiSHD+JMFtlZZWy0+NJlzuDMe+d3mLv7iNGmrCvE5SYg3yb+8kZH+QRX0lyVHK89jh1fZwavAjeC1Y8AzvltBjgEIx6fJBYg/JKQ26DjikonOV+d8hhuoXvCHa7wJ3FnHwh4davpwzfsmx/5DE5UCgREezvwuHJAtEEPvsGPHqGqLYrkBdzFSjLMmnTw22FUnlO2fECyo1P4VN4reEa8eiVFRsVlMqMZy+rvY8TahFklcZ3HbRpbltwapffNcxRT5rV5PvkIBxPEjBC+vY+fqtbpuYNjtPxMHTvDEgVR1sIKopPIxAoSlw1UKhlK8qY+hgRz5NiDxH4/t97B8QQf3Q6k0DW0GPlbVySHuu8nmt6tOlPZG6dv/ilu0Yv5Ubwqu5n3abnyQF6dBqs41FE8vabeFXs4XNkNCXJDLY3wE4c+faAaGiZfLYMB5hY1BlcYVARJmlC1C0QlHEcNoyxdWS6HRI0Rn2eF1t8sf8MQdkyKfeTM/7uN3+Y579jB2cNd//eEBmO4fnRsiRy0b29TLjsZnLTtq4xNDcxG4U3tCgvW0GBPJQatPu7IIJOJmEjZSNMmXTYZGEj5ne7hPCU4N7qLbiktEzuhVhZa8tkYVBayZtbxbA1tKUCIzYeDX7XRFUW1yiE7/lSRH8+2mY47aBG6Ex6YCA5y8qxThFjUGPKWGNBS0XHRjS7QEl+Icwpldv7iBILFxVGue58egkPgDljbUm/oDJYQQSZQ511tcY7YbMhXvaBb9LfSleK1XPqBsOYN3A3KdF+4Sp6rutqo0Si151P20BhFm4WHpN59zOYOKb36AzNZ8ofjYX8/i5EhmLLBI/fCIoOMAXZCoq2sBMQdFhq1gqLxg5F6USetAgel14NUxcRWcfQdenZlCM34C3OGGH41SwhR/gwvcO5dsh8KNVucfTEI+JLnw1D6kP2LCueSMIdOTUYgZ1oGiJMVBjnEbKfYs9ipncshz/eC0mijUc8DA5ySB3sbyOn52hDCcePfQEGfRhP0KdHgWZXCI9WVcRAm+l2Tpm3Lmx9xTO97hDCgmaeqW5aJtVMU9zzQ8yd23XYUvZgm/j5CLOzEyqYjSaYr7+H/y2fmz2KsQXj8IY6/0+aC1EESVSQ5hHDaUyvk+NjISssUVJwlsds2ZRT12UrmvL96T5vJCccSZ8is3wpfs62KTh2llgKMo2YurJssHispIyKGIPDNWYmKYtqG6BvUwqf8KXdZ3z79A7v7h3x+HyHYaeP2fN0DoW0B3YMk7eEwSNPERlsobg392AQET86Qd+6i37nQ4qf+hLRL38HnxXz9ORyxseZQa+Bs6ayysp22uAa8eiV4w5E5CdE5C+IyIGIFCLyk+Xx/1hEfu/Vh/jqoba02PmFcs6VUhvHGlCXz1QwstoNvdqgryoXGRaoyjKx0EdcJgi1ghopLT7zXZlI6mGaMt6wtkqVX6LydozxSF2wK0CeBbdVk7tasdLqun8peiwM8jL0ME16LI9DG+PYZM90nTL6XgSr3HfXlXCbHb+4nfkLFn7nOagG938FSTNklIJXbNJDFEZvB1dY1y8tMQjqSlfQsmCWjcJSUcVBioAx4VhsHIqwH02gtEl6LIW3fPvJfVSE3W+Um8nzYR1b3Ooa2nLf8/S4mGZclWYbwk3i083K582OXaZ83lIfysoHPFeZoeq3sbGHikdZ+l4daRnI3PgXr1GExYik+aSerUP9WGg2d001/gXaxUncPsDGZdedT2uj6yYhQE1Pguq6RWGzWX7alwUHF4wA2hAwl6y+LbH/brGPejc1e16zcWiJ0xgH8+e0/iy3lqKo+jDOqvtqzA0rdms5wQVYS7OlsZY4c3kN2pllncfdRWWJbwKfNkFa5Kl6XoiCjdI4nZ+NRCAq33nTmEOE0qNnoc0yRKTZSbVGe63W8HJNZ4ZbYeflN4dttFPiLE1Ps2tn56Q51Fp+EFONW/DJ/ORau8CLLM1lkoQQq+aGe6Pytmtw2p7DSpwNYFM+vQ5gbu2FvH/jMZThokym+EayzGKni+/GuJ0u9LqYO7cxpyPk0SGuC0jwqsQbzNSGqUkFaxVXxiAZE+avwlnSNITZp96AGnIfkWuEw5L6hDPX48PpLQ78gO/ne8RiSASO3RZGwKmlwODUEIsjkRyPxQh1PiNBEFGsKB2jJKagFxUM4ow3+mcMkoy73TFZLExvg08EF0N2y+A6go8Ba3D9iOLNXYofegO+9BnY28H/6Luwu4V/884yQdvYaNGQdhHOS4DrNpdeSbEhIv8s8PcJiUL/XwvteeAPX6X9jxuWNshtzLFwTNsEiTU4y81VwsbqcbRdvpZvV/S3+D5chLQq2/m6Y/P0WHFdS7bz2U9dQlkmSMs41oFyreLDLoQVG5JNSuBusnlqTpRmoY/F3+G6+cuaeSkqkWfxqmY7ixvD2YZz7oranbnZZ+v4W8ZRXfAiNDNrcFpptsGGsxVuEJ9efs67/Ds+P0e0X9i0An+cZFu7lqwYyEY0u+K82FqNYuHCxY1sywU3hk8vC6uekT8/C8/D+2AxLnztNeR2Q14CczQM1VLyhkdQOTXEQwWF+ATEAYUgLmzqnh9vowq5s7UjpfcShPnyWFZ+nubdMpeWwSkUapi4BFU4d11UQw4DVfj87ackcYFGoFFoePLO9tx9Sa8HnTiMc6vHi8BKvp6TNVZdvOI7G1gZf4D59FO4RnBTeFQE2d0FwB8cNg7Pkn4rUOz3QMCMQy4WHY0RI7idLkU3yE7TB+Fa3wl+kFGs5Vw58/J2LgTX9bspIpCYikgzHKm8KuMJYLhtU4SQ4+W53wLgqOgDQiwOEaHQKhOMMrNHVG2HSnxKUKyIQBIF5cfz5zsIQjyWgGOgCCmQ6ByFFl0SctJZB3RiVAR/fx9EMIenczS7yDNuLs/R0skg8q7Vr110vgnXbC69qsfGfwr8NeBHgX9n4dwvAT95xfY/Vlgu06hLG6GlLPXrMn+34CxlSFaWkxctjMOPJ+HlPsvAeYxv4FRZosch8z8ajD/Gz4QFnwfvjGlmUBXGRYInuFZXeaj3758iBrJ7WzW3t2WHbqVHY6N9MT1KwbmiR4sr1SI9/AXPZSPtuG74dx2gfvQLz2eDvCObZP+eo/2Sla1lY1S5zFW/qzKGOmtz8ap5y+JCe+W5hQwfc97RbXe3Lht6deEyzVbTo62djWh2Ucb0dXBD+LSeB2TFnGca77ismGsWEreumhfphizm4t3cBkkEdBxsiMYp3nuMUvOCTARRoXBQWSpdzSehDachSMX5at9qast5VlqPRs6iGjyRVGGnM60N8PkgfMm7FjGCdBO8V0T9jHfiqJ47Zd06sUCzJUv6BjRTP8Opn9ECzdLxRXEo3Bg+Bebfy03e0UVL7d4u5tZt/HCIe/KM/Pw0hEBpmetFDf78HPfhQ9zpCcWOpYhDmVUfQd4BFwvJudJ/qvQeKdYLMgodPTncZZxHnGZdTqY9no0GPBsPOJ4OeDja5izrcDDtMyoSnk8GHGV9zl2Xo7xH6hMeZztMXMxBsU2uFo9w7jo8KXb5kd1H7LwP8bkQnzuMxPjtLn67j9/qIds95IvvIm/dhy997qXR7KXAJvy1OZ/uishXReRfeQUjfSnQttbU6+tojKrOqpVkWcjdA6HUMGBGGWjpr1PddxW14RufOl9W2PlZGWGA86yD15CoNvcGp8Jh0V8cLaB4DQo4rzBxcVDClaU4TdmZq8u+U5Z8n0FicyJxeMB1fBhyGUCf94P3sreCN+BjQ35ngAq4B3thFGfD4DmQN1z8F2WANmXvGpxVlVXWlkC+CK75XGrKcuy1naeUgYJ3tYZE2UZqmQDAVrxaFCHMpxNT6Sa0Sg5rK090X3v2LMr7Se3eE/YFFR5QG82C0kOJpUAJc2Dl2+TLjAxVVTQPmIWtsdS/K5XHzNupasflcXhMfqYQqcZhyves8qzHl57oDe22VMnOK5rp+oT3tUf7kidrkBPC6XaDXuVZry19rIRrtOZfVbHxk8B/paptt3QA3L1i+x8fLC681Qu2zoq2bpf1IjgrxuGPT/DTKdH7z+h85wA79Qw+LJBc6R56cEEgiofQOYXOAZiJsP1tCQvX4w6+EM5Oe0ynMWdZl2+f3iJzlu+N7nCWdTj/oQJzMiR+dh64fYUg0kqPRVqtvVc2wFlPj0WcjcsTXpOX8iJYdb8b0aRFKFrf2YrD40l4mHE8c3E9CZnctj5IQcGOpBaU6r+ygk+RhonVe8H7oEEfZyG+9ywPlsXn2RZOpSzBFWqYf+7ec8QrJ1+MQBXTH2w09pXk2IQeL4lmL1kQv9Ywp+xZRfaGcmRZ+wX+5CSoZ/d34M4e6jz+2fP6oaqCPZ8GZXABdurBw+BxEBp6305Qr7hRjMsNzhnSSYSqcHiyhVc4Ot0id8Io7THNY3JvOJz0UIXvj27jFb4zuU+qlqlPOCv6WOv44ptPkEKJzgvwitvp4SODbA2Qu7dQBPU+KNZ0lgSwIYu8EppVOLWcsySct7e73NGGf9cA5sKVFrytqmcxV11pAcfubiNxhOYFOp0Gr42tbjBGTEIVCiaTUOEsy0I5YhG0E3IeuF7ws0+mYHOIpmA0KN1COi1h6hIUYVp0yFxE7i2TooNXw3nWBQyTIlSPmroOhVqcWnKNw3U+AYSCUBkl14iR79KLCnaehdtMzkvjSL8TEpDHFk1iJIkxD+6G+7ZmiQYraWZX47ysilQXwuZ8ei2qodVQvuO18erxk3JNBlD8k6f4x08gjjCTAjPK6DwdIpMMJ4rNw0bOlMpdXFirxUmYrzxoHoFapllQRHgNG673Tm/xdLTFQTrg8XSf58Ue/2D0eYqyckrqLdY4EhypxhQaMSz6PEp3OCu6DIsehRq6JqMjnmHR5STvMsp7tccRhHu73z/j3Z0T0jhi8kYBkVJsh6ooozci0l1DumUp9hOmX77D+f/syxSfu0/2T38Zt9eHb38ID5/CyXmwUBuWDRg6o+fcsebPcl4NeYnaH0lVmrM28F0Gbshcejl4MW3n+qs+KS3rZn18LD2/qk6u0Zp/1eShU2BRVVvBG4QysNcCjJSWuAWBsJmJe6kesDTqcesyPtCaRGhd7eJV49CDUOYw+SAi2dnDiTB4GvA6Q1CBwRMovbPojYKVMSrdovwwwVvlfNSlb1KO2GYrCcmc/j8f/QiKcOeXv4v92ujq9GgkV7o6PSRYIS4YBwVr4XVxkXppsGZz86r7MLs7SL+Pn0yCwO4V2dsFLNlujOsmmEIpBoI9M7iBQgHiwaQWdytozTMnYCAXT3c758nZDm/tn3CeJyTGMSbhA3OLu50Rz7OIzEfcfvuU0z89ZefvPMPbLr4qi7wJPT5Bmm3a943i0+a9LHoGVO+8zuaNRdgkGZtLwN8eAAX2+AxN01pORUqvoWmG6/cxueJ7EKWQnAQh1BwkFF1IvSCVRdBZFOHp4S4gHJxbVDxTZ9jpGkQ8Z5lHRHiU7mIE3p/eZRBNOM27PElvsdNJ+dz/O0cyAQmlZv3+AMkcktwh2trGO497/4N5+mxMs3YlxEYJ7BrXrkykdwFcgk93ReSrwF9+XTeNaxXCejGOH02QQR+shTKmX6Y52u/gOhaTunB+miFpjjkaort9ovOcbL9D5ygn3Y9xttQRK5gJQbJKBbqe8Tih308pXFkZRUtvS4HcGSLryQpDZB25N2TOkljPuIjoWsfQJWzZjLGL2bIOr4LBk3vD5I4nemgoukI0VbyUllEN96rOoWdDZC/M+zocbUazpjfcGu/ClXRtCVm97IbxRs2nJW/MzZfN99UHr0Z3PgpKtCSCJMKg2IMJAJM7BiNC0XD+qvKq1N4bkccgqIb50ABeTZ2bA4RJEbPTKfDqSdVi0VCBBeVRsY8g5GpQgsfGRCNQ4Wm6C4SyryJC4cETjBxDrSznAaYuCmMthEKDhdzbOSM3RQeSXMitkG8JRpXixz4TTtoS+eFzxJqZ18mSl1qj0tEq0lfJQ2nIoqvm58XnsgHcKD79FG4kXCcevapi4+8B/5aI/MXGser2fxr4W1ds/2ODVd4G6xbw2srWXH9XuaqvOdbax8pxCDLJoNdBCkUjwCnYID8LBDcuBwhEIygGYIaCHyi+EIrM4C2cTjvsdiehGoWzZHtbJP0MO85fHj2u6vb3AuNohWv0Um4CxlysMDJG5tzV5363CUksKIwW+qjA9rpop4MOR0GxIYLd3QURiu0YjQxWQSMQL0ROcCg2DZKRcQZvFS1MkJoseG8BJXMRIpD7hMgUTHxCrhkOw8PpbUSEW3/3CTpRsJMQs9421mqD0Ljnl0azdYq4qo9FRdwKWi7BDeDTNvlwkc/qKlEsCJaLAmcTB11ub+afWuKs6LORt6VWfEDtfjrv5jA7O/ts/i2e07nzWjpCVom06ttqBL22JadbnMdeNs3a3vmVdL0INufTU1X9mY2xPwFYCuFr2ZSsW+P9wSFmOsXevQPbW+AdejiCfkKxFRMJ2LfuI7tbxN9+n+ijQ8xXPo8ZF0RvbRONFZsr4/sdJBFMAd2HSvF5QUcWF3lOTgdkWQyJK8cWXPc7sVCgWOdxaujY8HmaJWwnGU6Fe11h6EAZUWA4cz0chp7J+I38Lqc/XrB/ZlBrERx+ahEr2HEReOF7HwbFxufewd65jcYR7uhkPc2aijfZQCHRpqhb/N3Sx4V8eM3n07lpYvHdXSyx2w+eZDIah3DIQT8oQD3Ycu2ZPugEJ8oyP7C3pWGOai4EicGjGFvKc7Npq571dpIcRUlsAQh9M6nPnbo+Cky0gxIq8QU1mgYlBtCzOaCkPrjv+7r/kKARINcIRTkcbqEqSBbuGT9z7U/SYPgKDkkSDGqVV9HxcLZeV2WFW9b8KoRvnUJ4jsdb5KYlHm8qPn4A+HTOE7vxLi/J6Q2GVtU5JdWsgRn4FsIsKqHm82iViZvrrrS11aX2FtpZvKK9AtZqnLmcWI2x+sbvGWkWiNYytlW/W3F82zg22GNdBNeIR68aivLHCOEov1J+V+APich/D/wO4Oeu2P7HBqs0tpvkLVhqZ+5AG9KaPtaNwxiSuIN9eIJxnij1iFNspkSpEg09yanHFkAeFqzec+geQPdDS+9DS3ba4fzxFqfDAd89vM2z8RZbSUb3VDj/LZ/n7H/+5cvRo20Xs0YIvDw9WO5DLvlclGuV0XcT2KyEk67+3bLwLLa7KjmblhnYNZ3inQPvKZ4+w+c58T/4NnJ4TnLs6T31SAHmDCSH6EzAQfw8uMDaicGMDRRCfhTjPRwcbZHnhodn25xOO5ymPd4b7lN4oR9NyHPDo//1V8judefH2pKTYPGer0yzFde1jmPhsk2VGpfg09c2Jnzu1qtFfB3N/BqayTI+zPjWZBAdjzDH56FUWhwHwcZ78g8fUpyfY957SPT197AfHdD9q7+CTAu2v58jqafzWEhOBDuxmNMIMsGdxvgC3HGCz4R0bClSSzpOODjYYppFfP/oFpkzfOfkDsMs5nG6xZPpTiinbcecFzHv/6uWvOeJHp4goxT91vfRDx8heYF3Hs2y2f0sek1cRLMVCt9N3onmO7/JO7EEN3A+pbF5WynANfVai6cGferqC1EMVuqQE5P5cO74DFBMp4sdh5LF8SjEjqe7oTS7ltUffKfaQynEofNQWEoIiZSlFuBBcBqqUJiy3rGVqnRmyGEAQmKCtaPQ4JH06HyfUZEgOZhp8P6Ih2HHaIrw7sn5CB2W5YgJg/Oj8ey+V9GsodRYC2toOofT0sdFl90EPpU1ITxLytGlL8s4SxoKWKiPt6BMqZtcVsS2Yc3/MivONJQojTNLfdQT4SXHuirBd/P7ElnW0LVFGb2uj8VjS6Fai7Ahn77OoKqI92hRuk73urOcUEYgTYMspSDTMPcVHRumzEEfjCE6ndQ5/6JR2e40PHN1ZfJ4nRkvjATsURq8gQpvg4cZgi/dkHIfcl+d5B1UhWPXR/BYlKR0UeqbFEFwalAgFi0VKs1n6uf4M5jhwkhiCe3s751jjeL6YX0WQEslXbob5lctPBjwialxqhtyd3ZDKXivgWZtHpe6wHst+hBt4qzZP1X82cy7tRKu2Vx6JcWGqv4K8DuBp8C/TyDhHylP/3Oq+s2rDe9jhjUy3cq4JbkczsWr8epxmO0tMBaSCK0SwFWlYas9QERZ+qrUtAPiwmexFQYgicf5UL7IaUhgk399G0TofvtwpSAxdw8X4fAK6dEUmja5vrpmk7/XeMO4Di7Kfjz3uQZn0UK0iCO7uxBF6HQaPDYqnDTFP3qMPTzDPjwmPofOkRJNBZsK3eeCLSA5Bzs1RIcGM7GYqUEmEZpainFMliUcn/cZph0Oxn0O8wHP0wEj3yU2ynd//U2mX9xl/KW9VRLYxffcdq8XtbOCHiv7uAxOEzbn0+sRE75iflib8Lf5fBY3SI1P2dnGKMjhOTw5QIzB3r8XNl/PDxBXwOERnJwjj4+Ifu19zCgjOcmxRUgoagvBDgXy8m8ahQDu8wS8oKkBb3BZRDpNyIqIs0mXwlsOxwNyH3Ged0l9zGnRJVeLqvDt5w8oBoKMR4jzmPcew+kQPRsjaQ5a5gNpo8cmNFvBi610XaDdWnZ9+Xz6WkK9v2kIgM3wnCbU5de1fZMDYCI7h68is7LC1XHVmiZVSfZ6PI18FEpQcNiFPqrfWonUsjyO5jWz9HbN/yBlvWHnBcEEYXSBN4SwKVHvyyR30j4lbkIzVtCsWRp+xebPWJnRbCHJXW97gyot15xPP4UfELgBPKqq+OcH4YdX1CtmZwuJIrRw+OMTUMV8/fsB5flBSKS9uw27A9R5bBZutPcUwgRUhd6V67DCdBoMa75UdozTJORi84ZxHipAPR6H6k4H6QBVZeK7eIRMDU+LPoLSMyFJtiv78IQk4IInLpUetRIFSgww5S6/J0FBM4hCO7dvn4N4tKu4vTBL5zuhheHbIU9NsW3wAj4Wih0LCnYalEF2fx/VkmZJEpKx7u8u07lURCwWWVjCEZlPOF6fnD2vag+1qUHjuvDpVUNRUNVfAv4FEekCt4ATVR1fcNlrCevyQayKSW66mIsYtC0vhVnt3n+ZPB06uyjEPTbHXrrMK5UAMXMxbOJUR4zMtyClhlOawtcqejQaXeeWv8pdeiN6bJKn4xIv0SXiw1571+maVxp0rbS0re6U1b1fhNOi/V3EsVsDQNBpWiPPuWUq8NY+AK4rGAHvZ/xVjdkkElxiJWjkXZCAUcBEgY97cVhcEusQDIWH0biHIgy+fbo02MVxtMYivwKaLfLhIs7G7v1cik9fa2jSYDG8J/DZ/LxwIc0WjynYrS1A0Mk0NGVtbeHU6RRaXIy9NSH2GnCDYKHRcn9U8aKvBglINB+qoaJhnkep9mKD2KFAVO4QR1kSdqYC3cd5GPt0ijqP9GNEBJ8XswkOltyhXwrNaHknmvRomZ9VIeklcMEKfu35tHp3N0G97L2uaPvqJHs5RP84Ht2lafaKRnXt+fR12Sm8NnAz6XH9+ZSwRo0nuEePYTTG3r8LgwF6fALFKXp8gp+mmPEY/vG3kMNT9CvbuEFC8SOfxScgPlS4sbngE4cmpXeEcWS5YI3FeRirwTmLsWF1Ph13ieOCERGjPGHqLMdpTuotkUBiCgov3E9GPHQ9xoT8Kw+zXUbaJYRKeSY+wiJE4sk13JQhWIaNCuAwlDKA8UxcjDXgvMEh7NwZcTzqMXkgRFsRrqPomeI7wvm7liIRorESpeDEEp87pFDiJ+fY1CNvv4nGMeJD3RZfOPT0DBqywCZ5tOq1XVfjADNZYo2SpG7zGvHolTw2ROR7IvKbAVR1qqqPKqWGiPyYiHzvZQzy44IXyo+xGEYCSwyyUV6Ky45jzbja2gy/14yjpeGrx3e1D/ZV5C25EHTDv+sAdb4AWTgsrd83xanba1oS27teOLgOacXuYW4ci8212AaX3EMvHoc0Zje5Es3a8efaW4OzsbcG3Bg+FVnz7BYsyEv4iydXHJtns/br1z/fZZ5Y5I82aG9l/UFp4fe17t2raHZZPlszDlaMw25S/u2a82mtt2xWkVlhvapddSvlEstrkEuzmoree6RhiCiLReAjW1rQtHbLriFz4fpyONZRlx6u8ArP/Jujs5AkrXFCIULVMveAzhpwpXJZNSjgunFI/qgN81bpuR3slQYkiUO4oc4q93gxNa2k9DxppVl1jnaaeRcSSIqAdy3MUh6v2lkMmxqfTZavWYRrzqeLdGnSQJfKioff9RXe12F+9bGypGTt4asNPptdBsxeCdXlZ5dX0YMaqoS4hkrY1L25Gn/2NlS8yNzvCmdhJABY6zFCKO26IGK78lvFR2H85dlyHvONG9oo7HGRrtU71gi9XhnCJ7M5ujq2cW6ta8qjFdShDWWomul2EGvDX2WNm4R31hycho2yIYTvdRLY3wrkrby/QnQdUtNUoCyr7orKQy5wqfMGJfxlLgaE1IcKUM3rI/F4hKEmAIx9hxmnhxKwSkiUK3M9hGFVbdnGcwbQEiuKQ6gJEfg+c+tvsWVQK2gkwdO+bFAAW5Wl7/cCveIY6XQQY1aGRi1+rwcL60PWWsJO1nrQzm7y2vDpVXNsvAt0VpzrAp+9YvsfK8zllRDaH5Iyh7Nyk97EWZUPYkVfS+1Uk/lkEjJfT3M0C+5LUlSTbsAxRXABEwUpVw+Tl8LSqYAHn5lS6BHyonSHemMCKNPP7a8e62XpseJeXxY9NoZNX8jX5KVcC2uE63pxluXFeQmHlsV5ztuhxFmM8y+qgtyzmX1JqE3LSboSiJpzplZ9a71gLPWhzc9KSPcYmT0kF5uaHrJiHN7NNi1raVa2s5pmawSaNpqtEHo2iWO8KXzaqvBd+K0r8NuuWddO+aP6Mv+xNklWNY7Z8cVkZW2k9os81IK1HPeqS+c2UpIv/L6swnddH200Aihyx1q4QXwKzI91xZgv8hDU4xN8UUCewzgkNTa/ESreuMdPQRV79xYax6gr8NtBbMq2QxbH3mGBeiWeekyumFRIzkFUiA7DGl2kEd6DOkELg1chmwStRNF0y/aQOUNeRHg1PB+HwnVPptuoQuYjnBfu9IfsdaaogbysbZfuRMFleifCRwbd6qFv3gbAPw2hU9IJGwfpdCCOVtNM19Osmpe1MXfONzDDmZMzNoWbxqcLsJh/zB+dAIps74QDJ2dQuBCr3wkbwd1vjRCvmNLhUhzLvJ+FECGXl8k4FXwROiqKsO4eTvqoCqMiQYGJ73DqeiiwZ4cADMwUVbC4+hlXGRLOXQdF6Nngxl9tK0HIfBhrVGYIfWP3JPBJoqgp1//Syy7bDko2yTR4gEYSEokC2VfeKHMVhFw39bNe5KPqd5MOF+GsAl2e+y+ET4hHReTzIvLzIvLnX37rn8KNgk9wLn0RPr2qYgNW38pvBU4u25iI/IiI/E0RGYvIIxH54yJiL7jmXRHRlr9f2Lzj8nNxkl+14DY/2+BFcRb7a44jy3EHh3B2jvnlb0HhiU9zTOaJJg47ccRnBd2DnGiqdJ85JFc6JxqSNp4L8ZkgqcEddPCF4enRNsNxwvG+JfngkP4vP7p4HC/rXjfBucw4VoBAUPRs8PfawwYLK3oBeco21ilpdQWd/dER6j3S7awcTPJr76POEZ8qpqrGWinepuGyzhngQDKwUxAvyDC85vl5iJM8HfdwThgVMaO8g4hy950jUGX8w6UCLorQMrRgJW9eIFxXeJvQbB3SKprVBtYLJJ6bxKcrFZwVtCkvL6lUdqdnoFpXA6DI0XyWvGxJiapAVoSqUkBy7BAFMyrb9syiQ6rPrKR3+adO6uecl0L+yTQkJkt9hFfYSlKsCW2PvtAJY+72wnimQdgnsjPLVHk/HwfNLsyGLpCneUtD88O4KXwKDYWjrlY+SnOeWMQRUOdxDx9TPHxM8eQZ+vAR9sNnRH/v17AfPsMcncEogy9+Fv3Jr5Dd3mLyQ7cp9jpM7vfw3YidRzmDjzLikwIxEJ9ANAU7sYhxqEB63mNy2mV6HlOMEtJpTJpFOG/J84jMWc6nHYZph6NJl/Npn5O0xyiPGbsuJ/mAkUs4SPs8nu7wwJyz97UE8QYzCbvP9H7C9FbM+G6XfL9L8c49iAw6mVB8+BA9PSe6dxvz4D5sbc3lB9mYrku8vLweySJPt20418BN49MaKosAzNPw7AzNC/zpWdjsAzx8Bii+HxRpvUcpuGD4Mi4YBSRjNr+Ff2E9Ti1+FEFhyY87qMJ0EofPIib3hkItwzzB4HkvuzPzHFLhIN+mUEuhEaX9rax4okxcjFNh6uOQyNF4BtEUISS79Qqpt+TeMPYJvSRDVMgHQQ2dlrobHwsugXxfKAbgLYxvCyow+ok3wRjMvbtIHK1WTjTX7YtwYDMefAV8ulFbIn9KRJ6JyNcWjv9eEfmmiHxHRP4PAKr6PVX96c1Huh6WlOhZjnof/hYNS53Aj1rFc6oGlzRVTFoGg4bCOaXHUPnny89S0aa51Od8ea6yK1UeapkPFaQCv0U0hUIb1GEUPvCc11BaWHV2vSt/e53JeOE+lFiCvJGYgvD2KCKlNtCET98p773SrUnwjFOg6M4zio9tXX5ZSy+5S1U00YtxNjGALMLLnktfNZ9eOseGiPzbwL9d/lTgL4tItoDWI+Tb2FyxENreB/4G8A3g9wFfAP6vBAXM/2mDJv5d4H9s/D7YtG8jBn9RfozFXA+XyI/RhLXlIi8Yh06maJaFRHlZEbIJZ2GyjwoPhcc7wU4UpxBPg8QQeXAGoongkzDxaxHhRTk42gWg980nJB+eXZ0em+TH2JgewaX2onFQsBaunfCyDrSFjisExTlnl4Xfrfuai8qeZTn69GmZI2DF8xymmGfHZJ+7S+dAcbuCd2GhMg7MGCRT7BB8IvgIuA8eiwO8F4pIcaIcmR7721M+GO4SmR3Y8bzx1a/T/c450Z3baK+HH47g7LQu6TY3luqeV4z1sjSrhesmzkUxj6v6boEbxafrYFFQ1MaxdTRo4OhoDLs5kiTIzg56dop79gxz+zZMpjMFXq+DdHuQJOhwiH0yJP1Ch95zz/Se4mNBcsWIYDJwXcWOQ7JlSU14KAXBBSkW8rMO8W7KaBqz1cs4yLcZxAUqyiiP2Ypy7uyccfiNW4jdxk9P8aMhbA+Q7S2cBXM+nUlgF93zOpxL0uyF+miBm8SnL61Ermt4upTVAWQ0DZ/Og7FIZNEkBhG0U1aXKr3PbFH2VfZXCZN1uU0B1DTmIAE8WmYJL3Pso2pK4VrwWqa90+Be7TFYQtlNj8FISOZclH0JoFEpWVuZ+VxXWoc8KL0kikJyOxMSi86xQ5NmK+h6YT6Yxd8tz2ETuEl8WsO6Nf2DD2d54QCG47AjK5VPAnSGjum+QQugE5QYVSPB018wowjvA5/IJCRXnI4Sas8HgbO0Sz9JSV3Erk2Zaof381CS/cPpbcY+CXvVupaJD6ykIbzoKN8KcqsUdK1DUbaiFEQ4znuAcDjdYlREdKOc6bSPj8BV0QM+PN/xm5Yi0qCY7gnOCdP9sJjLVz6PST1uMoaTkndXyU5ta1L1cy430Qay0yfHp38G+C+BP1u3HQzDfxL43cBHwD8Skb+kqt94ab3C0tpRPHmG3d0J4SdNencSos+8TfH0GdrvIULYwxymuL2E/shx/rYQnVrUO5wYjBUk8iEczwuMYnQrQ89jzKAgM4rzlk5ckHth0E3JXERicp5Ot8hiS9cUnE36/PbBd4koOPcdBjbnvBCOii4d48jVUKgwkIxUw/U5EREOFYPFElHgCWWJ7yUjnmVb3O+ecpj2+SjeY2c75fy8C0kOw4jsTUfyCFCDsVDEghsAYjnZt9z+J+fldC5M39gmHmXEB6OgsBmP52kHc1VMVsmUi1VPVj2nal7ehFdf8lz6Z3iFfPoiyUO/B/zN8vsfAn4ReL6AkxKUE//NJdv+wwSlyL+qqmfAXxeRHeBnReT/XB5bB99U1X9wyT4BwiYell7Opnv6yti7xjWblM9bcplv6+OicUQR5nSM3+0j33uEvnE7lEJSwJpQUimxJCc52U6MHSq+L9gJxALZHsiJRXcL1AEGiju3iPYL7PF483G00aNx+Mr0aLj6bzqOVriJAs4nBJrnS5NtBbVyqwxZqSxDSgiTEhFMab4x5WZRrYRSUQakMGBAnYHIh9jJssTXOI9BoPNwGCbZKMRvtrqerLJgXxbn44bXbTwvAG3GqhdS5tqLlajkGSQJ0kkQa/GFwz99NtendLqY3aC8lUF/JnwCxMF12RRSy+x2HPjNZkE4NpOQ3FZtSBjqxIXECSLkRVQK+X2SOGOiMcNii1g8D/424AR/egJphrl3G+7eQs+G6PHxWvpcSLMqueglaFZvDptJSjdQPLfCDeDTCj6OstGVZVKyAnM2wVlP9BvPyX/y80QTpeiaYLEEpIDkqKC4Zeg/gtEbYJ/GuDsFvrRiouAKQWPIhjHRIEePOpidnNyEbPhxooxSQyd2PBsNuN0fc5J22IrTUPJVYeRiTj9TMPgNS3Kakw8sNgMSIT4cE00cRWSQz7yFfveD+n7cdh9U0DRFmwodEcy9O/ijE3w+8/x5VaW2L4QbxKdtyX432UAvLnNzTl6lW0yNI9U5aVxXfVt0D5u5OMyWYGn5rPqQ0qI9P7JKb1YbFlquD2EsMtf0rBlpDKXWgIVTphrfTPn2wkq2RSXdovJjnYL0ItgM9Y6I/GLj91dV9atzzaj+HRF5d+G63w58R1W/V47tFwiG45er2FgAEXAnp7PnU7KMuXsnnP9MCBUKhqewWY/y8OyyXUUwiAtc4114lqKgYxse9TBGEHwhWBWcg9wGLoltmG8iE8q0Zt5QqCESF7wsVHia7wEhNA8MEz8r6jrWBAhltEXAYbEIvvTwECApy7zGUuCIyIooXC2+jMMWSMJNqw187k2ZDFWDUU9QzDiEY+X7oUSuM0KkgHfo0cmysa25Rq+QYVsT5y+cW1TWX8iDm7PzJ86nl1ZsqOpfBP5i2THAH1fV9y7bzgr4l4G/tqDA+AXgPwP+OeDVlTZc9dB0A5xX1feacUS39pFhij56jpycYc7GmHfeDEYcm4DzxJlHPKgRjI+wmVJMBH8KGlt0rBADFvofCP4zD0i7A/p/4+sbj+OVwCZ9XHYcN0XAKSepdVrYGmcRpQVnEZoT5jptcNt3ogjzxgP09JTekZL8xjHnP3ILc6KI9Ww/cgzvR2hUJkxyECpuKf0PhNEb0BkK+a5CHiE9R2oTnhxF3NodBhfVieWDf++3cffPfZvBtw+RXhecm/fWiCLsGw9wR0fBqv+yabaIsynNNlGk3AA+bbuFjdwpl2jfgrPwW72HytV1VR+V5UK1jDm3MEmh38VkGsJOGpbIoIUjHDeEHHimPO4AC1oIEiveCWK1dGOdDUEVih7EQyCKgHR+HBViZKFwG7mHXpVm6MU4G1sZbwCfflwg+3t1JR6TFugkJfroEeo98fMx0u0SD0PmfRWIctAzTzcKO77pFJAIfyiwVVrOXKjMg7GoB/fcIrkNmfwHHsSjJgjONopwDiZ5DrFQZIZu5MgKy3ujW/h9z+C5I8pA1EFkiE4zOo/OAUF2B8jeNtrrhPfmzi3o99DxZL7kN2Du3sYMBmheoEfHVyQcs7ZflN8+5dNP4TrAZnx6oKq/9QVafwv4sPH7I+CfEpHbwH8E/ISI/FFV/U9eoG2g3bY0k3mayh6Qbjcg9Du1lxlUtoKAk++Ux/slacp8xdqssFcavGwvqJCMKZUh4sp8bNCxIb3sbhyCCnbsGC191lIN+Y1Gvhu8FsrMDDonCAQIVVO1DF0BKb2PICg9AJ5Pt/FA4YLixTeS4NipqcUKpQwDMyBTj8lCm36rgwLxJCiE/XgalBgLCYSX8mS1aC5nCos2mXZBqfHyjRmfOJ9eKceGqv5vXqJSA+ArwG8s9PEBofjcVza4/k+LiBORxyLyJ0Rkg0LnM1h6OdtMj0sXNa9vv2Aui+2qBIJz7VzQZ5IgcXgpOT4FVcytPQDUmvr6Kq+B65Y5CMoNpe+WD14IrofA1odB5R1/cNg6ppWwhmYfGz0uAuXmxNpWY1xB93XZjetza+jZVjVhCce049j79xBrMfv7WEfpKa0Yp2w/KvMZVKFblZFFg7Xc+BBPLipIIcHdEC2zXQu5j1AVTr+7H1y4BUQ9OhqH0rPNcTy4HzJLs1DH+4VotgHOCnos4lzIxjeJT2fGvFaFTrMaxarN9CYKI3d8gnvyFBkOl0ORNNDdbG2Fn8dHFB8+xJ+dEf+9ryFPjrn1T6bc/kZOcg7xGUQp2CHgwKaCyYToGJIzITk1RM8Fkxrckx5uYhme9MgnEceTLsejAV4jcoXzcY+Hvysi3VLkC5/FvP0A9kJguBweo4VDBn2it9+GbmcmoGxMs3ayb0Kz5vvQGjZ1EaPeND696NgGa9G6Nc3sbM9dq+NpKKtuDJIksy4UNAoSvI+CzVwVXLkP0PJzbj6ruspLj5AycaKxWhuwK5ROFMJj4jIB4+m4B2owU0gqU1I5X8Zn0yA/WBOEcadBqQGY+7dBBD05mzFiNU8OBuHLuFEv+AVoVt3nOpwoucAud5P4lHZlZuXRKnu74cDWVlCWzhDQZyEvlTs+CR5shYSk8wqSaci/dhzatUMBD2ZInXvDu7Cpq/IbZFnw9pnmlmlhcSo8T/uowmkR8h1NXcAp1MxyZpQJbqdFOJeXeQ0Kb5i60M4oj8t0C4H3Y5MTiQv5DpIQq+WSMM9nwWkIZzXIEw5Iw7Y07wUypXsdfCQQxyGvQxRBxaMVXS/rReyWn8MSziZexHVnr5xH295AVdVDVf3DqvqFqyg1YFk+qn6ve3/bZKqlPDutfa3GWZ66q3E0z0vpPzSP03bdBSNZ+DXbTtf3v4BpmvSojSnzcvlamrXMk2aBIMYsU2RdZZRNK6J8DHPpS+PTFwlFmR+JyB8C/gDwGUIllMVBfeESze3TnnD0uDy3ClJCbM7/FzgDfhfw7xFydPy+FeP+GeBnALqElOBizJxw3Oqituge3Mj10OYqWF9TToar3OCalyyNo81NWebn1SVXu6YbHfPvTzg2P8i2EozNe1s9jvm+5ulRyj0vQo+G8L4JPS6EayK8LEI7n5Yu9s0NjoKxUi+6ze8VqGp4Pn6Vez/Lrq4LtF6ivTZ4IIpm7XrFxwYjghYzvbxGpZZdgiu9lzAxuyrAG0IoCmAiKY3pGsIVvEddQOocTle77pfWUfGudmdu46tAs6brfhvNQOyMX1tp5i9Js3VwU/i04gvR9nsq6SVrNurr3ClrHAUt8uCi39KH7O6GEJV0ij8fgSq+tCQbYxEFLxLCpQQkL+fKct6yk+BV6gpC+WBL2ERKqFKBqZTDYQfpAZcbjg92QYTuQRoEh7u3wv2cDdGzUVAA3g7VJqgqFVUbOdF2xUUDZxVdN3ZTZcVzYbXSZB5pA5zXDFrn0g3c0I1pzAvlBLK0xq5d05bbXd4IlHMNzK3jzK3jyw+0du+vxiqzIpvVudmiHq5vCu1GQv6EykOptqouCteOGf8ZWXr8SzQTWRrHZWg2wyGEyrbgJN04SH7r4Ibw6ewktRJUpJQDdraxd+/gEOTOLex4jHv0JOBPp/DeQ3AePTik6FpMdpfuaTBw6RhiFeJzwUcemxoK70megybC9EGwktOdCXJZGoPCcWEZZh36keOs6LEbj8jZIssjJj7GIExdMMDFohRaJXDsIJIiAlYtqYZnbFGGroOYER4L6hlEGbF4Hpp9zE6Gy3porGiu5HsCFnwSRpacAjkU+8FbzqbK9K0BJIZe7jGDAeQZ2u3B+XB+opt78Vjmm+r2aTl3GZxVsBn+roh8FfjLqnoZ7/WPgHcav98GHl3i+lZo8mlPBhdgfwrXHjbn6U+cT6+k2BCRPwb8HPA14J9w8TKzCawR6VZcoPoY+CONQ/+DiDwF/u8i8ltU9Z+0XPNV4KsAO3JLoSVnxCU1uavcg+dwVpTo0xX4K8fRnERhrqb5kntxjUPto7OMExq89DjW0mNhAG1jXUWPxuFNxnERyCUU6K8TtPHpalj7msxQLnH9Bi1+QrCBlnnldS/zjlpoJi/ew03h03klW5sCjTmFxtpcDysURrWSrtpsaaPt8jrbDe6dmhWhj6KRD6Abqu9oN7iJKuWGrLlBYyavKmV0SnMzyKzipZQPryhCUkanEE0aNPCKphnGlLG8FQs716KYbKdZrXx8UZo1rmlVkALdQReGrIXryKetc2mbFmdpvZprpERpX7cWvzfbW8JpKA9aRYdLaJiaPLrQ7fyGax1O1aWsuJ+W+2htdAFHeQGa1cfb8QHcRWWJuUF8Wp+s5jqtEwSaO0FBam7vIyK4PC89FXX27n8YFB3Tt7cREbwNCi4D2PPw+OxEwEB8JBiEolSwigE6jZxrEjwqEgRrijDPSYWofGd8DxBSb2olWqHhWY5dcClyaohKZQcIqsLQW0BJXVyuoYIRYZQleBWMSq1xrizDRRciFSRVpFQ+a7mrsVnJd7lHrCnDtHssqeWaCjvV1sW7OVeywlCxiVJ5FWzIp6eq+jObt1rDPwK+JCKfAx4C/zrwB1+gnTlo8umevX2plCIfO3zsY1veg8mLjOM1oukl5tJPnE+vWu71p4H/QlV/XFX/YBmaMvd3yfaOgb2W47tcvnRsVfP2Jze+4kWYaM3C+6I4F44jy9AsA9WQYwDQ58HdUAqHFiHunHHIyB4PC1DFTB14JRpp7YJox2EXNnw7iPbZZ29vPo4L7uNFhJXWvl/Cy32jXFJLD4HF/A/e+dLiy5LnwSKOSEtCt9ISWc/C0pIEr5FtuWqzfoZlErnQB9jMB4ucmY1VysShzgcro6Hso9pZQigDC/gilKVT30guWbpRZ3tJKDMoUv41FF7lONSYWfZoVRYF9k1ppk4bOBvQrCUmUoxs5PJ3c/h03b0ue4e9vC42b7UtMuvKY9qs5xW9XUyzVzPAZe+BC6+4CXxaK4vmb3hxjqg8vcK5CqmBIrM5GZYV7348Cfucsh6hdGLUecR7qErrOh+qReQOvMcWWs+9dlo2NG3QtKRvPR4p58y0PO5MuUmTOs/zNLeAkHlQFQadFKeK70C534TCIUDRi8uwlJA/BiPQCaZxPT4PYx3MvAlqg0QabFva7czo2kIzLqBZoOv8BnIRJ50sFuNbhuvOp/Nu5Y3Nc7URj+zM7b1MUGvSFPVBKVFfXz4ff38nKGgrZW7eqDpdtmPLktYVT3jjl2asKArK3cQWiAiJLWq/oYkPF1YZCfycl1DZR0l0KdUMIY3Rwr0SlGHDUrHhCqnd7kOoanCg85Rl5TVU/qtasSV7dEZFyTsSFBx5MT/l6TJdF6EpczWrUtRjlQX+bMwrL2s+3QRE5M8Bfx/4soh8JCI/raoFwfD714BfB/47VV2TSO/ysCQnVvOBn82d3pWxTBUvNowMpaPizMPWV9eU5xvz3JKC0wXOEw28MJe3o0TNNAhnhVY1oWZtzHzLyg5Yp4QN7SgN77vyjDU5pd4rXC0NpW6J5GqLQwgjUyuzQZaypTehESmNIXPjaCjOKv5aSrrsZji14lsXcXxDxt9MY/Ey59JXzadXVWzc5uUm9PwNFnJpiMg7wICF3BsbQNtyuhpWTT6XlXpfRPDcpI8FHPf0Oe74FJ1Mkd0dzGAbGU4wZxPMB8+Q9x7Cr3wLVIlHjs5hyuD9EYOHU3rPHTvfLrCZkDw12DPBRYbo24/o/sPvvdx7vSo9NsG5CF8v8XcdoM0aUP5em/yvwmGFq/vi9RfhLIzDPX2Keo8/PUULR3w0JTmazmyKqmx/7RhKpQYeTF5aVhSicUDrHoB6MOcR5IY8N4zOO2FNvJWBU9yPvhsUF/0e0kkWxvEsbCKMWW9BuSTNLqTHOpptmpzphvDpS6smVS6+c8cWr5FZY8sLuKtxdHEcpQDQTM7lF69nGRYrNbm6ykoYrDRklWrstfBRbdZaeG7jilNNQbGJc0ma6QqaZRdtGG8Kn17q/V+DcoGk4Q8O8WmKPzhCh0PI8hAuZyOiwyFMU/jVb6HnI8x3H2KenWBSR/fxFPHK9vsKHuITCSWzM8HkYXNnRhIUwamgHuyxhdTA1OLOI7wTRucdvIePjncpPJznCaM8ocDS1Qw7FSa3YygcyaNTVJViv0t2q4fbikn3I8Qr5sG9MI0/fIIOxzAaL9/rk2ehJPg03Yiu62BRwXRpuAl8uiJ3wdz3Jf2otH9vIM+JTy1hUcvDWFY6LH5f7klav6++agNF77p7XXFojmYrxtNK14Xf63DaiVZ+mAu2WS+RR1X1D6jqG6oaq+rbqvrz5fG/oqo/VOYp+I82a+3lwKIBjjSsL+ZkFg6kCuI8Jgvrdf9R8MSMz0Ncsvrm2regiJ5GQRFX5mVRFaZZcKM8TbuowlE6wCscugG5RghgS4XGoNKAaSh7qgq+UoT48Owq1Z6r1W1SH0skKKffGpwAShTnQfUhIDbcX7EV1l0tvTtdBGpBY8P4zWCctuPQTrZbJjPtdaFXxln1FtJF6oIc3kr4VjFj7vzGvPWS59JXzadXVWz8beA3X7GNJvxV4PeIyHbj2L8GTMq+LgO/v/z8x5sgGylJscAkpjEpmYUJqk0ju4TTov1dSi7W7GPTcaii5+cA2O0tJLJI4cJfXmCen8yV5OycF5hCiSaeKFVsBlERtOTxyCIqRAen2LPJ+nHYDejROHxlelTnLvFcWuG6CzhN0BY6LlggoG2Bnz/fBnW7bX1chJMX+A8/wp+chtrlQOejEYODAvGQfPeA5CQlOXOYAiRV7NhjMw9JyBQdnxEUbhOBQtBTi2YRo2GXw+c7OGt457+fsnUgRF98F3PnDvQHwXujHkeO+/BD9Hw4d88vjWaLOBvSbK2g3xzHTeBTXfF9FaxZnC+8fs0C7o5PwHuk11vCMQ+fgyr9pwXiw+ZRimB1MNPQrnFl/+WnFGWZYkAmwTSTjUJIyyQL1SeipMAmIbzk+CudcOE0DV50O1uBD5wLFXtUkX5vdq/N+15zv2EAa85vQLNVOG7T8tk3gU9ZWNPswlpS0riZoG0RpzWhW/OYKvr4Cf58iHt+iHv2HKwlfudNjArmf/oG5mxM9KvfQT56hn14ROc8I546bK7YIiS1NSp0ziLM1CC5EBcG4wzxSYTxQjwWrDPYswgmFjeNcGmMc5bRqIv3EWdpn9zHPBv3eTTcpqOe278cgzXEj0+xWagooJFh+tY24y/s4zoWM5pgbDQz73/3ffTJwTI9vMc9fAjTdC1dm3NmK81afq+i9Vr4hPhURD4vIj8vIn/+YuxP4QceNuPRXRH5qoj8K5/QKF8chKDMjRPodNAsw3/4CPJyMc0dJnfYwzEq0DvUsN5mgp0I0ZnBnBqkmHnWhHZDGXacgDfkqcV74WzUo/DC4bBP4Q3DImFcJEQo303vMvIJZ75L7g1DFzyCCjVlstuIsYvwClONSkVHdRszX47ch4S3Ibm9IdOYjnXE1tPvTRFRJC7AgYrgLWQDxffA92GyF5Lenn5lGx8bikGCjyC9FZHe76M7XYovfwaSBPPg/jwtm9/b5q9Np8nLTKebz6WfOJ9eOseGSHPbyr8F/AUROQT+CnC0iK+qm/m5BPivgf9d2eZ/Bnwe+FngT2ijBKyIfAf426r60+XvnwW2gf+RkDz0dwL/e+AvqOqvbtJxbSFbYJJ1Ne4vZXlcc2yujxcYhzs4xOzt4ieTMHk4H2rLK/D178EX3sZ97yFyew+JdrCTDN3ukhwqk9shHMV1FX3rAX4smKcnV6OHb8d/MXropcexCAKvtbvpTYKZFrlUcqkimQsud2kWJunM4zqKyR2mUHxksBOH79v6OYkDiSTUACsAq6gXMOBiwaQKpgxF2SDm+zrADxSfNhfkdYvzRTir8CvIC9yzZ4FFGnwie3sY28VFgk8s3QNP0TOIQrYl2AJ0Gsq15ruBDbUAYkHOlWwHTG5wicMVljyO8UZ5nlm6SQHdnN73InyU4J5+hDw9gn4nuJuW43CHB0i2HUpmXpZmvEKaXXDNJ8mnIvJ54N8HdlX191+Evwm8UH6MFdevPCbLhA5eZbaew5r5tmpMhZlHUjnXaeNcA2f2M+DUnnnlZc2psvYIV0Ii2jIkoBplPQYtj0llLN2AqV4Szdo84TZSDpfwsvlURP4U8L8AnqnqjzWO/17gvyBERvw3qvqfqur3gJ++umLjki/nq4KKOS5AWf171bhfwf0sjvU1X1MvwacvmrvgY4G1+ZxEUGuJPvMWiFB8+BC8x0yn+CRGnCea5BQGfCdUhLIF+Ag6p2VIU6RgoGg+0F445gsDVkEMPrd4lJNRSGg6zrtYWzAqYu51h5z5Pt9I3wGUh9kOIDgiHCG5LRrhcXU5WK/BC9OgQekLRCJ4Fca+gwgcptsUathKMkZFjE8cWaEUHuQshAC63cCKWRRCrE1aJvD1huk7ewiQ70W4CKb3+jDyMCmIPvcZcIo3EqoMNgo0LBZ4qCbwOZwNcnEZY5iLyFl8tlxqLv3E+fRFkoeGmkszEOBPr8DVy/Shqsci8i8A/yUhxOUE+L8RlBtNiIBGTSt+A/h3gX8D6AEfAP85ofbti0G1fret4+vOfZw45TFNU9yTZ0ubPAE4HcI/+WYQnBDM9hbeKL5jiKYhDlEtbH3Pw94u7m2PeXryQuP4xOixgawlL5Bw9LUFaVEQtdBkSUZf9dyaOGtimpeOt40DkCiqXedsWmA+OKLQDP/oMbxxj/7DCW6QET0bgkJxbws7cRz+5m00sXgD0SnYBPLC4s89+b3g8RCP4PQLCVsPM6JhKPvKw/PlUp+L93wVmjVw2vQoSzRbRdfXmE9f5oaxTf5dV03KSCOHSuP21y3gdZWbRrurqjjpNF06ZnZ3godZJGAkxGPHIb41KsIwbHCICzHnpUupaFnVx4OWYSUq4IsIjRyFCmluEVF6h2VelbMzKAo4L2aCRJkoVM/OW+lzIc1MqCp0GZpVuJvQ7CJ4mXz6yWwYZ7BJidymYqB1Himvr37PzRHGIG+/hR0OkU4HjKF4/ITi/Y+w77yF/ew7uCdP0ck0xGK/c4+iF+OMIi6Us+weCPm2IkPBdkAjQTKY3goeRD4CbwnlPW0piFrwRRiYHyaY7YzjYY9+kuEwwUrpE85+FO79gwL2BrhJSjqI6jxMYfozTD97i86HJ8iPfwV97yNkZwc7nYb3MEngw4etdK3e05U0q+i2SDPm5+4lZc6G8JLn0z9DkE3/bN2+iCVU5PvdhKz+/0hE/pKqfuNldOidzk2o3mn9XCrjU8Wb1RcvUleQWYqfn2bQT6DwiBrELMfoh3wXwUNINBgUfEn4ajl0XrEGVE1dsrVKymnFh1wG6oBQdr26vmrAo2V+DKAMDPELD7fKlhAbxQhBbi1zZYRzIdGzoRxwySfVHVe5RosIklIh572WIarzdKlzDnBRvojAz+vCAEOZ5hnPX2R4gxsmn34KNxKuE4++iGLjj/MKdaDlgvDPX4Dz7sLvXwB+4ap9L2qy2jYxcyXLFoTENk3Ypjhzm6eNxtE4trYPDen5AXNrB4CiG2GMUAho6drZGSoo2IPTS9Jj03G8QnpcxI26Ac4rgpduYVxnNdELztdjorbGrcZZEzpxQR+yv196UxB8+IoCeRiysuut3SCsPB8jhYcoIho7vBU0Cs5glWDuLCGJVFy5Hwq9DwNOclAmqTs6Cd5JF93rKtiEZjprZ53BsKZZG45wcfLQl8ynn9SGse0WVlU/CvgL738bzgpr7otahf1wiNnawgwzxAp0o5D7xUPnIGd6O0YcqAHJQBJFjYTkt1EIVXEdMJPS260QNNQvDAnPPOT94PHh7+xgJjlSJUuzFrodGI2RrUHw2Oj1QmnGhhC87n5W5XV4Fd4Hy0Rc7veK8Gf4mDeMTWgmDlylfFxb8aBSGNE+Z5r7dzGRRXd2Am6az0r8lptQRBAj+Lv7sNWDWCi2gsWw6IeNn5mCxMA0zJEYsLnM5i8B39GwWbWlgkMFzcKuz9hwg5MiIrLgMsM0TTAo2+9PQITJ5/bqcq5CEGZNEcapW71gabx3F+McaoNFVFbMv2vLNVc0W4OzSbnntXA5Pr0jIr/Y+P1VDVUfZs2p/h0ReXfhut8OfKecPxGRXwB+H/DS+XQ2jsYP59HhCNnZQicTpNfDbG/jTkoH5zgKStVuFyZTkg+Ome5vEZ8q2bYGJUjZlBSgcbAimxHYoaK7IE4gE7SjkAvEiptazKDgLE24PYBcI06yHvvJmK7JGLoeVoLFWlFEBREldZZO5JjkCYM4K+9Fa8WWiOBUQpWVEu4MzvjobDc4N1lQF6z3thA0BrJyrj0rQwcrRZlR8MLkjT7xUTrzBrU2lKYvigXClp+xnYVILNH+AobSxnq2KXyC8umn8ClsBNeMRy+t2FDVn30F43gtYKmWeutOnuXFtzwwVzd+Fc5CH7XlsXHJZuNY8M7YeByz722SxnzeqauOo+zhRejRaHajcVwA198ltYRKMaQ6L/gx73K26H62CU7dnswW8NoyXF2/8BtYsvLaJKoVJ8ZIqIBSPdcy1toIISFU2WaVzVwhlGwrcRxhc2mlLMNZdhNVkVLO1QGQy66Qs/KZV6PZujKcLTRb4fq3yabxJbv4/xk+wQ3jrM/l13VjL5cLcJq/11qFYe56PTwKHkCPBXM+JfvRO9hU6T+aYEcONSYoIAzomRJZyLeCNTDqAlPIt4GpweRKUcbRyo4jd0pyFJHeFpJzh//iO7C9hf3VkJg5enAfoggZhI2I9vvhM01xT55uRjN9dTSrq/ysgUvw6Wu5Yaw3cwuVNxYV77CgiG+8701F/PwcMfsOYJKQg6Uq+evzHBNZvNc6saDkoXKDbPdRY/ASKkA4qDOhGVtWOKksy9JQ3EoDB0WNhrLEflaRwtjSjdoYFI/LDVYEMl9XIdCODXNwyX/iwvysbjb3Gq1CXEK7Ps9DtYkVnj91WwtGkKX5uUX5KVbq5L6L82p3qwvnrIVL8OmBqv7WjbFn8BbwYeP3R8A/JSK3CR7DPyEif1RV/5MXaHsj8AeHSLeDe/IM+8YD/NEx0usG76BBH39whHlwH/f0CXrnFjb1RGcFPonIbkWoBx9DKGaiFH2wU0G8EI0U3wc9sbg7BUwsGIeOolACNvIcT7rc7k/4/niPrXjKxCUUXjgvEihzEKSFoR8VHE173OuPOM8SYuM4zzskxhEbT+YM3cihWgoHAs6HvAeDOOVs0kOtgzx4aqooGpUedR7SPYgnQakXj6B74Mn2LPlWhOtHRKMiVO3xflmpAUi3g3S7kMT4ZwerCb5KyTYnxK/AWdXkNdo0roJ1IeWqGvLvPH6KPLgfngHgHx+UddETvPf4xNYVRLY+dAzfNBQ7JbrRWTLvcqOdPDHkt4OPkRpFe8Fr0kRKnhuiyDNMI/odzzDv8NF4l7d6x2RqiHB4DZ5GozzCGh/yaVDqn50lFsep67Idp5znCYnJQZTMJezGI47yPvvxiAedU55l28SmoGNhOImDTABwK0OPY1xHkdwgHRc8/wrL9JYSHwqHP2rZ/6ZjfDtUweoc+3qOTW/3SZ6NMA/u4589nyVEp6WiiS4f3yQdwCaVUa4Tj76Ix8aNhbVZ5iFoY9dmmd8gL8W6CgGVK91aNzda3WE3GYeWdd8FLYWqxrkSWaUskekvcrfbZBzVLoJ2HDbI/r8hPS6Em7RhrGOxlwXBtu+b4rRZztfsiVYenLfGr7hOV3xn9i60hFhfchzLP16MZu34c+2twbkU713zDeMcVJazDXBWIjXf8TU4sOb8qsvKcKnsbh8EopEjmrggWFUJiUvDuo+lMrDPcgiVfOri8EWScpOWGRgFt6PBYwciyOMjEDBbW8GKipRJQ2efOhy+FjQL8/+6Aaxpdxlezw1jw8vhQiVOU8/T9M5oMQy0NrqBF10rzpLRoP2yuVFsgjP3Wy4c45Keq62PhtFk+ZpaZb1yJEvGixVjb0JbctElePXCeNsgVFUPgT/8UjtqUaoZI3jncO+HV0UfPQoKsv09zJ3bANjPDlBV0n/2NyEiDA5zNPf4Q4EkoogguxXupOiVd9QVdKrYqWBioQAYxWFuOSs9K7MIopy0SHDkeC98NLmFCJznfXIVCid4DM4Lw3EfT6hUIQIH0x08Su4difUY8cSmnEvLYeQ+IVfoRQWneRS8lKbBCqJlOVqNQYugeNYtgUy59Y0ibMQiCXkZdpKg2CgcPH82T9dKqdbvY27fCpUGIxtwS5gzgBiZhQg1+GttGOBFsBmf7orIV4G/rKovsxrlqwcFXIGOCvRZg/5HZzAcY9/9LCgU9/r1JJacQ/9AOb5dhh6VyQeqF86kEA0NxgnZQMPOu9tc9wyoJ/MRmgqxdZwVXd7onoMoQxcDQuYtUx9hvBLZKjgqKHhTDx7LeRF6nbg4JBglVEVJfUzmIwZRyh01DIsOA8l4mO6jlJNgR9GBQ8WEGNZe0HhobikAyQSfCGdfgGxbsB1l+4NwD5JYfGzQZIKhj+zt4g6O5ul6gfHiQthUCbd5m584n15JsSEif2vNaQ+cEqqS/LyqPr1KXx8LrHrAGz503WCdvaiNi8Zx4VDWjePwGPZ3sOcFpvBoJPSfOcb3IsZ3LNuPCtyDfcx7T158HA2h+7WgR9XEDdowtrmhhw3XbLFtzX2xYJ1cZa2d2+w3cco+Fq3Jcxt5ATccY/fLWvZOkXiWDkfPx5i9bZyEZEw4j/ce64KbvyYCTkPi0JxQLSWHvOzXx2BzmG5ZtsYOGfRROQLVeaFvYayfKM10mWar4KZYGOcFwRX5MRo0WZngqvGOr0xOpmzmkbM4jtJ7SKLKBB4s6M3465p/mI3DiISSr5WV3AgOpYoJn/HE7HlatG4neD1VjUPVUNNTYnVOkZli5VXRrNNLXqYl/EXhlW4Ya+XpJsmsFzw6yoEs4DSsk4ueB6URoS4TXPWrOpNLayPA7Frv/ZymIlgt6ybCMWWOUt5r8BdUZsaKxtCFMI4y+gWvIX9B7bFREqYehrTlHJj7iSBLlXSaHiuz6zan2dz9rMCZjtJF9CW4BJ++qDD+EfBO4/fbwKNLXP8pfAo3InnoKqiVltU9njeSZQuYQQhp8x1DPkjmrp3cLqdAI2DmiRSfhYnP2VIVFlfz4WxejaKgnEpsgWDYiibBI0NhHFyUOMu7gCDSmI+o1v2y3KtK6UEcFHWgTH3YPndNjgicFB0EGKbdUC62OYfa8nfswv0UJuyPlODJgZDuStDNHPjg0dxcx/Ng6XWjyUy5XslPLbwzpyhewVsiEhJHb6h/u07JQ69a7lWALwO/C/gs0C0/fxfww8DngD8GfE1EfuSKfb1SWOV+2ywvdmGpMW3BWbxEl4/N9fHSxjF/yN69jezv40UpdrvERwW95xnb38+Ih0ELYb/1AdEvfvtq42je30uhB1enR9XPJn/lhrHx99X2BpegbcP4lojcFpH/mnLDuGFbl4ZVMffzOBfPTItKivmTF3YRBOqzM3Q0wp+e4s/OQExdrkq//xH+fIh//BQtCiSy+MjgYkP30CGF0jlWJAufyTlEU6H7xEAR3E2jk4zOkyHkBSZOgsW7wXNzY11Lj4VrLqLHJjgvQrNF/M349EVh5YZRVf+whvrhL8Ft+tXvfK/c76WG+AruZ6nJT4pmLwCb8+mLln57fTaMTb3GqvlgDY4/PpmTUqXXQ20QjslzQIMnD8DD5+AckjlknAbhfBIuNPlsMlEIpYdzynPhuEnDui2Z1Fnupfz0owgUChdwTKdARXEdYfwgCOnx+byLvpqqM8EnQahwW535WaTbgTheQbwWmiWVqX0NTn1iNc4m7tOX4NNTVf2ZF7Aw/iPgSyLyORFJgH8d+EuXbONT+EGHV7vmv3JY9J6q9LF1mXtdUfJZoYo99tbMldUG0J6USoYZASoM8eGbsQHHl+F3zf4rx8vIgqLEJig4muTUsg6FNCY1WRCTqnarR1H2DIAtd/yFJiiQO0NjlNQXArbMX6S+bFNnfVWfUc7MeFHRqFo7vKu/13ryRdo3aF6PYoGuxpoyPGj5uayEVy+bvjS4qmLjTwBT4KdKgfifUdUvAL+tPP5zwJeA51ylQsnHAPWDX9xkNxhikTlk4SVah7PuWGsfVx7H/KM1naSO58WGsoZRFiyMpgjdyXiKlEmTrjM9lkCDRWqTvyvAx7RhDNC6SCziLByb+12RtWXCm+G3Tw/N40vjqOKuDw/xJ6fodBosgpXgqwrf+xBOh7giw/cT1ArF3T5GheTcYz10zyHKIB4q8TQoN5Izixjhzj88IDnNseMMSQuk28NYy/xAlu/5pdFsEaeNZgtNr6LlHFyOT1/rDWPI3i/BWtFSFroZd9+KU3nSVH/Vsbk+fN1HdW5xf9TEWeqjjLPWaRG6iGfeDLXw4BteGOVQaity1WcRcMSXlm6rNU5p1MHFUZh/VVut2QC+CgNsyWNT53HxL5FmdRjkPM5kNG0d36yjS/Hp679hlBXfN8HfAPR8WMeUA4gx2Af3MXt7EMf4kzP86RkIyDRDfu27mG9/SPyPvwu5Jzn24MBkgIWiXwrpGfSeKZKBHUM0gs6B0DmGzrGh8ygiPjNEJ0E4dtOo5Gshzw15brFS0DkRTt/tkpW5CDCBbyV3xCOPmTok9/jYUnQt2Z0BfrsX/joxYqQOe7iIrrK7g3nzwWzHcRW4SIh+yeu+iPw54O8DXxaRj0Tkp1W1AP4I8NeAXwf+O1X9+hXuavXttIT2+iVlT/lOZxn+/BzNcoqDQ1QV8+vvQ+GY7FiKjlB0BF/ms7JjwCvb3/dIrpip1gox0rBJsmMBP/t0ueAzQ1EYjk76eIXjtIcqnKUJzgvTPCbNLYUzTLIonJt0UYVJbnFecF7InMWrcJJ2UIXTrINXyH2Y0x0Qd4IWz/UKPB7XcaiEvAuVd3DwnIPTz5Wb10JBlXQvYno7wQ1ipl9+Y45mUr6HOk0DzfJiLgwl0LUZPr38HJZxLheG8opl008ALjlJvqSuVvX6Kkazrk3ZBGfFyU3aXXdsvt2XdOcfzx7qpcFVc2z8h8DPquovNw+q6j8WkZ8D/kNV/U0i8p8D/5cr9vVKoZ6IWgTjtu/QFAyhcg9am6ilxFmXZOdVjSN//AzZ2YazE+zDCP3iO8i0QDsR+1874/ztLvJ8+HLG4dvxw7nL0mPFIrJmHIsgcONcUpdyPbQlBFoUelqSViy103h4q3NOrMaZ40VAvcePRmi3V+NIvx9KG/Y7+MiA89iTCW6vF9zijIKT8NC0DFGxguSgEUze6NN7OAZr0MKHDWpZxo39HTg8mfFLtxsynOf50lil30fHk7lNx0Y0W9p0+uXvC6TbKHEol+LTF3X3qzeMwEPChvEPvkA766GxcW4LJZuT0Vfdc3V8zdq8ro9FnMVwIJ/nmE6HzlFG9kApOha3FWPPc5Ljgux2THLmyHYsNpeQXE8gmkLRVbY+8gzfsUQTIUsUUsFEBh95sIGH1RWgFvncm+izEyTNSovK8jjt/h7FJFSnkH4XPVmIB3kVNGuBixTFl+TTC6HcMP4uQhjgR8B/oKo/LyLVhtECf+pVbRg3KZHbTJq8SYncxSTL4j1qZ0HiEseYW/uoKq706KjChOR0iBmOcZ2YKHOotdiyQg9RmAPJQ1li50NoHgLRuFQWTgzegDdgxhFOPZWdUbRMHOoM6g1GoHtmUAv5XnClFhsUX6IQZ2GjaLyiIrhBEmgySGDqwHmMMeHeytxcM5ot0NUr9tY+iKCRRbP5dXttouqyzU3LEVeXvMx1X1X/wIrjfwX4Kxv3dBVozHOLIWRzOKMxvqySoqMx3jvsyRl+p8f0p97EblvyrcAnYsGmwTOo/7RU3gpBwdUDzcFaISTaUGwqGCDtWiiEcR4xdLA1mJCboKwYFTG5t4zSyjtHSF0oDZs7ixGlQIi9CRWAnOLUUHjB4Mg0QvIyb4sKhVi6/ZTpOEa7GvgsBlTRDMSU4gJAIozfsMRnivVgnDB5s0t6r0P/WZ+8HxF95wlmWkCng7m1j/S6uIeP8dNpSCC6CLrwvW29WcS5xCO9TokZP4UfPLhuPHpVxcYPAavSBz8Hvlh+/y4wuGJfrxZWCMZzi8ciTrXYrsFpzaK+2Me6UnIvaxzeo8cniCmT1Y1zRARTWit3/ta3EN9I33WN6CFV+Yx1sEmCgwCv94axhI2Eu3UL78p2L+5jE5wa0ozi2QEkwWNDtrcwt25BJGSfvQ0o3fdP0ANPvhVj4riM+fNgQbxgxiDdIHwlZzD8oV10kNB/nKJZjp6fg/eYH3oX+j18loc4zm4Hc/cOUjjcw0fzlQ52tjH7+0h/jGtmQL8yzVbhbMh/m/PphfCJbhgvEASb+SBWCehzOKs2NFW7bTgLfTYVv+aNB0iS4O9t4ZKY6NzhBhHTvYROZLAOeo/TUPFkx5JFIFMlFkFzT//AY1MYfhZUhHhaVu1JhSSKoFDe/B/O6Zx4NCqgUMy770Ba1J4qc7csAAbz2bfRXoKmWeDhFTk0VuVseRk022xueXl8+klvGNcmENaLcTZRKmvlypyVMSNRFCo0dLszWnY6kGbgXK0glVGO7tig3I3BjjV4kTUci7SMaqk5pTwRNoXhi0nBd8BnBjp+9vg8uDh4bRYdiNLZK+MtFB3BTnSG7xQs6NkIsIGVarfmcj3u9YLierGKjyp+NA55kVos2quU5PU9raD1Wnj16/7HC+U7i66pslXhADoah8+y/Gt6v4+IkPckGAtMsCGgSv9J6cE7BfrgQo7jUtMRPqNJaLeIPaGehOAdWPGogCAcTAeAMMkjREI+oax0z8+dBYTMG4Kjo6sd8QsfJqbUx4hA7g2xgVERoRoUcXVunKT8kkvtUTcnuwJEBjIokkAPAfJ+hBQeKRPpm7shiYOfpiXNFB2Pl0g6ywtV0rVtvWrKtuWYNobN+PQTT8q4CpamzRZvwOW5tSHjN3EuUKzr3Ld5I4HOn6qPzIsjC/PMDPlSsJTsWOdHttjv0jhWGQ7X4LRdskTWpjxa3//quXUTo9vKztvhE+fTqyo2vg/8G8BfbTn3M+V5gDvA4RX7erXQIuQtCdyLQrguWnLaXYjncBZLSlaC5Bphc5NxzJVXq743BHtVnZVXiyMikbqsEYCMp6FcW2McS1antnE0x7pwzcpxXJIeF41jE2HnJlkY11pqdHOcdcqlzQay4vq5cZTzYRbcSM3eHojg7u2ANZizaRDSIoPrzE9HvhOyn/t41qYdh0aT0wJE0KOT4HEx6EOvGzosk1PZ/X0Qg46Hy0kly3HocJbIamWCz03ouglsQO+Xyaef1Iax1V1ygW7N5FarlJ1LOCzPAXMKzhU4beOQJAlCahQszVJ1L4JGwT/bljkNJFyIqM6SgWaNmxUQnQnY4sI4krPSWu1K0SkOCo+V9FBFoijkK8jywJ+LY78CzdoUz5vQrA0+Bg+4jw2aSvTWErnNeWEDxc/SPNLrhNLB3uEePw5JarudUH1hu8yt0UmQ+/ewWYZ7+Bj1EO3swtNzpl1LPDH4DHrPPb0Exm/EOCDfD55EJm307UAcSJcydEmIzy2FegoXIx0LW0XghWnMdAf6I8h2LIxnO8Tp3YipKvvfyWqtiS08nE/Qr30X6XXgh7+ISyL0YUg4LoMB9t4d9Px8lr2/QTP/7Hm45wVX/7a5d4kNVxhS1j6LlziffhJQx9iX0JS32uTNJZwF+crf6ofmrFDlN6zaqd3Ik6BAqMJUlPL5EBQXASeUFSY492AiT9BsBM8LANTiFZwKRkyp7AvXV7cVmdkcZyjbLCHkW1RyZ/GAc1ImbqZux/pZvgRpfCqz/DMSh2vUl6WLJ1kZqu0wZb4Xk2e4dTJpOdc2jWkrZfQFWWETw9t1Tx46p9ApoSn/C815tlLMlTiTKagnzjyTig5ewQjxkQ+eRcq8QaCUC20GmioSg8mDcaEZ5loUhiT2TAtDYoVx0QXK0FFCuu9YCrx2cDrLzeB1Prm5UyWSUAurvIm6k8xbOtaxFU0Yu4R+koXnTrW2CmI9OItzGhR6kZZ9hASeooKX4Og53RG65W65yh+tsUFyj/Z6iCtKxXDZQ4tCuGngaJsnQ0LrgFN9f0k8Cq8Bn1410PGPA/9LEflVEfkPROR/W37+KqEixM+VeP8i8A+v2NcrhyVFYauEvu4i2QBnsblKX321cczlnFjT20qkaujrBrKJUnOTcWxCj6uOowl6ib9NmlP9A6r6hqrGqvq2qv58efyvqOoPlfk0Xl1OmfpZzROimcdhVULVufwYC3HObflM1uacqNapJZzGOKpcLwtjFisNfGl9pvXtCUtJpUx1QUPrvzpfiC73XzU9l4R2VU6RJs58H600W5XL4yL+uhyfvmiOjVcObbe5NtxsVZnsdbXYWyxCm9Rrr46558/xRYF+9yGcnBOdTkieDDGZw55lITzqYIgWDnvusBMfYs6dIi4IDAr0nigmVUgVyQmW9ALEw8mXejgLRWJRI/jI4pMoKPG6Cd4I+e1B+Nzr4ZMICo9MsxBW9dYDMIK5ewcWwh/8ghDdStfFEL3qkkvSbJmIl/h78RwbnxwskqASDi9ad0qcxcvtnTsggj8+QTQQRqchj4meD0uc20HIHY8REaTbqV3i3VbYfEUTj2hQ+IoPeTDyfujTZPND1Xh5LN6Wg4x8GOrEoLkJznHTEr+8h6IjYIRoqksKBvn190EV2dsOfY2n6CgoiGsL+Gi8kmbVPa+j2RJdq5u7DLzkdf8TgTX5x1bJUetCyRbXv42HsaaPxUSLM5zV128yglaxd81lq061ypJNLcgFDc9k0sY9byKTrpDTluC68+gKqJXEzJQRUM4RTZzpFPICLTzJQfCWic6CVioeB48fU0hQYii1kjXbCWoDW+ZhkUKwU4OqoKMQ9pdOY7xCVsR4YOotJ1kfgFxLHG9DdahygKrUyjnny9LGGiqhSYmlKLZMQpNrUATuxlMUpZcUbHXyoLAwASfqFyiKIeCqBMWNCrheuCFvw2PO9wQXB0VHtieoCNM3QsCDfumNoLjo9ZAkWelEUSuUKo3kWpwN1v1rNpdeyWNDVf+ciBwQFBj/R0LUWw78IvAvqerfKFH/HS4OFvhkQZZLlDVfzLljDaiSsSm6Ni9FjdMmoMv8i3/1cawWekUEvA/jaGzk1FiQYmYFbRvrSx7HWno03EkuGofIBtrGzZPavPYWRlo2dYu/V7q5rStL2LJZWptzYlU7zT4W2qwF70U35RbJoHncs2KsDaFh0aVw1ocsXbd6HMuwDqeNZotu1pfx8LgEn37iWvGXBqvIswnZXnQhnUzwpfXcnI2xD+6h5UZOAHs8wqQFvhthpwmdoiC7FYMqySh0WvSEZBg2g+mtwIq+GwSJ5MyQ3klITz3JMCS4sz6CyIb1XwS/20VjS9Epj1tD/HyIeofsDqCTYFQQY9E0Rc8aOTeuIkC8BOHjdUkS9qJQ728WPA6XjsHM07E6t+ApFHAa+SQWy/BWZYWVlZ6KEpX5N8oQAxFBrJmTC0y5ZtYypATLVPNRVKWIlUqo1ZnBrmrHBm9NVILnZsPzp97nlUJ2yJovaNG4V1+NoV6gw1i9qwlrCFErlONQLkezNtov4vS3e3C6dMkc3Kh1/1O4sXDd51OA2URT/mx6kQtoFGNu72O2t/HPD8PcVOK4szOiO3eIj6ZoEhOlnrO7oQRq9yTMPz4B3SvnNwvE4PqhlKrJSrnu1GBU0AJ834VJ0hu88bhC2O7lPM/6YJRcLQfTLmdFl704JTIFhRcKH+Oo5ESDkCOAU4tTwYqjbwsiccSSERsl9REFhp7NGRYJO4MhmdvFoXhxiFFM4oOXfGZCuVcTvNdVgPPg4WE8qBPO3rbEueKAaOpR0yG763FbCZ3Pv4MU4M+HSJEHT/vFR1F5Y6BL69kcaCkLb+KxcY149KqhKKjqXwf+ugTT7B1CuUy/gHNBmvXXAC4SrmU1zsqcE5vi6MLnqx7H6RA5G8LeTn1cPvc2+hvfRTrdkIwxL1Y08BLHsQpHVxxfMY6NQlFu0IZxrZa25fuqazfacK/i1XWXrOpDBJ1OkP4AezDE9WJ8Ly617Q57Msbt9WGaQTfBTBQXGUxeTroWfAI2VabbwmCiyN4u+uwIxtPSfVFhqw+jMe78HHv7FtLr4o/LccRRcIOeTGAwgO1tmJThMJvQbANeWyLrJTaS12nxWAeLOXAupNtF73trHzNar8zTsRh20VRElQKB3RoEN0sTqkWpakgsB7idYDX33bIknKN2yfRx2MQVW6Wlp8oNWYBx4Z7iUgliZ7u82q1bo0YtOiAal2b3KGq4MYdzddx3g04rQ6fmCMAcXTehWZxEkF7Q7HXn03ZdajvqS1AEvRBctd8NFIYru7hi35e//NUQ+dqv++vicy6SrS557lIw186LtLnBOkrLK7rmsivx8lq6tAjol7nlTUL7rvt8yvJ6MhfmKME1wGwNZr8bRlScDygK0TQoSItB8BqzOXgvIZRIG+FKApoAnrr0q3igKNusSuXUgSeCNYrHkPoEUM6LLhBCnEQAFbRUF/vSa8PUwzWlwhhiE8bQtaWcUJaMDaVfhcgoNlK8A2MrxSzBYKsSsvM2PNqqUFgpF2zXFSQSJFU0kpALabsT2tkewDBDrGUxXLVWUK8L422Rx1Z5Xc3hXCMefQk1twKoqlfVZ4tKjesCq9zFmm7kq9z7a2jDWbykZbaec4f/mMbhnx7SzDIjnYTo3bdDssXBYGUfG42jOnwVejTmwxceR7MP1c3+rgtsKJRfqd1VfWyC04Z/9xZ6/zZ+eI5/70PMB8+xkwJnFD07I/m73yD69iN6f/PXiI8n9A4L4jMXsvOPFBXIdqDztUd0/s5vQJoivQ7yhXeQt++jzqNPD2A4Rra2Mbu76HCEPzqGQR956z7y5c8j29vQC1VaTK8XcnNcBS5Ls1VwOT59bUNRYP2cVrtDNw4vhUW1vNPL9dob11QCwmJfa8KI2q5Zvn5pGI3wo9I63fQeY+5U45rl61fRpW2sbTRbDJ1qpdnS/VxMsyi5wN5xA/i03qr4WVniOixiyQMtxFsHz8pwbnGDuL6scDCFeZHwjFpwfGVIqEr+qs48v6rwqbJP44MgbLQ+VT9LX3pomHKMQmNZq5pzJY4JYWDaYIl6VK7MJ9PwmKibiUPZ7aqalMTRzGpYDkir+xBqobqVZjU92tfedWWjx2eT1mtquAHr/mIODV/ya3C8bRe1tYmzQDM5n85wYM6LqJ688hCqZKrNVoPPah7Iq+ulzH9hgns9YQsJgbcqXqx4V+tzoR2nWm+qFr0yK5awxmMAa7RupxqJM2FD3BIhW5fa9lU5blta+7vxrDx4+d55E3i6jWa1Ltwz49dFr8zGHFFNp3VemY3c/K8vj34KPwBwzebSl6bY+BSuGaiCK32P6oWtdJkVWZlv4LqC6GZ/vKaC+CJsshFcmx9jxaZmXQ6OTXBWblpFMG/eCy7X4zHkBeZ8gs2Cdl6H54jzJF//CMkdyXmGcYrNg/5cPCElq4H+L32EmeZIuWGQrQH23i0A9GnIumT3d0MixiwN8eyRxd67jUQWe2sfMWY21ji+HM3W5BSpvy88jlW0XIRL8OlrnbtgrdWwdvNcg992+SJKSx9rM5Wv7KOBs3T9ugEtdTHbMF/+dhYaam9grcfVS6LZqg1TE24Kn0JJE2X214qz+txiO4tKLff0efAC6nXnE7o1IctBFel1UVV0mqKjEQJ0PzwNio44bBmjiUc8SB6qRAEh/0tj8ylZqHSCzhKLRqPSYDCJUA++44LPrpS5OoCiH262e5BhUkfRFXwSLJXZdrBKFj/+ObwIOp6gVtBeF/fufQB8VCr73r4fhqOlMk0E2d1eplmjMlIrSOP5vIAy/xJ8em1Atcx7soYeFU69xpVJanvfD7wkxYyng5FZyAYBNxmX16bUmi6pcEunsjgtcwWUz897YTLtBH4rCWpNFbI0I3A1ZB8SvoTEoOVYtUzw4kpLe+oiVKEX5XgUsT5ETyuQBhzthmu9sESP8YPwGYU8ubhKU5NETH808Ot0K7xTZmsQXPdbaDZH11XvLzN61lPsJfj1JsimlwqNXlAQqyqah1B4JkH5ZvKSmFW1agUp57SKD+s52zHDq5avantT5uDwXshd4Nui9PCoRlV4qfflvvEJoTpP87hqSIirCkWtFQ4DcY12GtIAACKNG6n+Ss8PLT+9CeEjCsHhREMSX5jl4PBl+Erg17KPSoatuqzKb1/wXNYdW4TrtIe6dCiKiDjgn1bV/0lmT2oVqKpeOdzl44AL4+tbLDlL0IbTdskiSrOPj2sceYb/+neQL76LSQs0sRTf/xDT62H290LZzEeP1491TdzWxuNoOTZPjxVdXIYeq/pth9fTJXUBNkn612btmV1QfrRY0Wb47RuczZI6Lrfp3/sI3n4QShoCxsbINMNPp5A7NLLwxXfQ7z1E+wliwKae5KjA3bb0niqT20Gwjr/+Ae75UQgrUQ3lBbcGtRXRHRxi9vbwZV8SxTBOIbFLY5VuF7wPpRi3BnB4tJ5m6xJhrsmzsxFszqevNTSrS7QlsZxzW22zkutCbOji3FheU7XTVs1CpKwaUB5ve0fECG48xfYHiPO1FVmNIF5hnCG7vRDD2wu6X+99sDI6BSuYiSKJIFUSM1t+AkVXSKZlrKxUApbW+Q9K0ytiDEVsiFDEuUYeolI+ThLEu7Xz3suiWVqFxKyDG8KnQHtFsUWcai3SFpwFGlaPtSZ9nqOPHocy1DXS7Kt98wF0OujREe5sWPfhjk+JtraIzrMgVVuDHwhOwI48tmswx4oUgnFQlI5nxgEO5AxsB7wD1wVRwajiVfDDCGLQyNE7itA4lPcUEfrvn5A8mxLd7VO8sUXRM/gdi08MRkFthP0dP4JicV0L3Qh/722izgDp9/CFA2uQvW306AztdIhv7+OMRU8beWIaEPKKzK8bS6FW1ctwGd67QXy6BJuIPZFFOh3k7p2QQ2h7F+OCN4PkikSCZuG3SwRvNHjJl7SWDLQLFIH0dgJ5VwOvKGUZY4+NPWdpQhznZM4iCM4ZvG+EEZhqQwdS7oAUIXMGK8FjI7GBP52H3Fsigcwb1Al5EYMokhrMucHFPniJJIpDUQc2M0EJAqT70H8KrkOYm72QdcB6Zfrb3yI6GDP68fskf/8R+vywQbMI6SSBZs1EtxVswoOvhk9fb9m0TY6X2Tnpd0EMmmX1i11X5JhOyD98iNy+Bd96hv+pH2bwsMv4HqgVrCkTxj8Bfxs6R8LkDQ3zHNA7AgyM7wqMFLaA8wTdyhkNE5KO4yiLOBkO+MK9Zzx3A/Y7ZSlkhcO0yyCyiAlKDouSY4nEcZjucrc7Cp5BBN48zSK24zFH+YDb8aieqw7SAapC7mOiqKDwlthCXgjdQUo2jch9HBI4q0LXw0lMsSvYc0++DfEETCpkQHcK6Y6hc+pJ71g6x470Vp+4G2M+ehTkhO0tzP17uO+/X1ebkjffIMozikdP1u7BallgE0+La7SHehGlwx8HPmp8vxFLx6p45fk4MVrvtsZpo0R5TZ2cdh1O+X3lOPQljqPwIeP+JA9C1PuPwqbQ2uCjWrTn2Hh59NgAp/x+ET0uSnxTuVPeaLjqYluda+LoinNrntnaPs6G8BvfBVWk38NEMXo+gUfPgnb6N30RBj38nV3oBqtiPPHYrMAlofRr90jRN27hjodE33sKp+dQOb8+P55tYicT3HgSGD6OsYMBpAUma/B1iWt6PSgrECgKxye1guTSdF3EvYSAcyP5dMX9t5WHW8JZEIzmTy6008KXc/k0Vo1DDCaJw3xXFPjROfLWA9zdbeJnZ0TjgmxXsQ6i1OMN2LHD9SNsprgudA8h3wpuzKYIfYkL48q3Y+JxilRW1pImWpn2nIOvfw/98rvw/AjNASP4kxPkjXvokydE9+9j7tzGffjRMs2Mwdy7i3/ydJ5mbe/pZWi2Bm4an76KErlLx/J8tpBVbZYKEul0QAR1rsaplFoV89bsW5qsKwO1p8FzzFi9HocvxypV19UEKTWy8VXbAcdmHvGKKRTjwImgSVkdoMoLM+hCGmQIYgO5IoNeaKjMGSM2JMoVkVBeuVFOvjXOuy1Gf5FmK/LCtMEl+fS1Tx5a33tjLlss+bpUAtZYojfuowj+hz8HIkQOsqgMafIhPMPmgAi+E/jCKhSUSjIrqFOiMs2PdgEb8h04CQqpuBdyEgyzbqmrDV4+zhu8Dzxry/KxRqrwkcCbzlswiogPpTAR8tKjY1IkdYhKliVBuXISrNPeKWpAE4VSqWxsuP9gThXyHalzHokGj6Kia1AvDH/3j4R3aHiKpI2kQtbMaFaTsZHo1pThWQtryjxOezLc1ufKzZpPK1hUGJtbwavWPTuY4UiJ412oEvLsORCUZwLEQyh2w2nJAYHOsSAI0RBIwEzDHFiyWXA8rybCAiQRssxgI4gMFGoxAofTAdQeQoZxEZFErpxXDSCc5SEHx7CI2Y4LHCF0SlByH4EIhRoS4zlJezhvKFQYF1EYow0DiaxiBIz1ZeoPj+mUtCmfveuH6bRIgpeReBAX5Iq8L+H9jAXJIfc58WSKiGDKilpEIX+cbG9j4igkhW6Rfeq9bsPwsa56Clw/Hr20YkNVf67x/Wdf6mg+QagnxUasZ+viu5QxfWEy836ekfSCjOmNxapar9eOQ1uOLY1j3lK5chxK7TYr3gcaxGFB8c5hrA3Wlxemx4bjaKGHGOoUIEs4C/S4UNBRDdbXGwKtSrgFYbHV8rgOZ8XGfDHhYqtgufB857NhN6/XOnDWbm8HYX46xQi4KIJ+N9xcJyRFsiUD+MjU7ZhSL2GfnjSIoLNhNMdR8VKvN6sA1Bx6835EwveGNeEydJ0jxyJdN1Vu3DA+nbvnxcV1kUdaCLSJJb3Z7lpLurYcA6IH9yBO8Ken6Okp2uuiPQvWonuDIDggFJEhOnfEmcdpSOglSEgmCsQZpKWQ1RmHuav3LORUN5nDNKpKeCPQCxVW+P/9WthP/uI3wOu8fvb4FMoKFGIMptvBl266IqBxjH3jAWIMvpwUXirNVsHl+PS13zCu9VIrb7NZDepCb7lOB7YHcLCZ51fx9Dnm9n7tXVaPwwju2SFy7w7xcUa+lxA9HyK9iOxOL1QqESU+V/KtIOgXvTL0RMF1woYUgWgUzskYpAvWC+oAr2R9JToLQjQCw7f79L0yvR1T7AjRcFaJJesJ8VRJ+wZL6R5twKjiEoukDu1YTOZgVOZzKBzFwVHwqKv47tatUOUna97zPB038ZZbC5fj00/cyvgp/IDCDVj32yLJ5pTsvV651viQuL3CmXPt1VoB6++Ewga+J/UmXCqUMlRJy+Td8ZhyvguKAQcz7W5UKtNMkDG6SdCOeFV8iaQazkWlUk1L5YUqtYKta/2c0liYbZ5iE9aDw3Qbj1D44LEUrqjC+8M4XB623BJE3GA/qxKfljhRUSYtTYOSRqs8Q0CUBgOJfXoMqmivO0sbMA3KObu3gyLoaNwqA1ThVpdK7n7NePRahIl8XLCRIWBpQ6lrTl50vP3cC41js53TxRizueUFQVu+XWYYWo9jM/wN4fq8kxdDtYlps3CtsjxugNNmEbrQPRguHsdCmzOcRqNLY6yOBywj0kgcRntM9tLmmSC8N8a9dD8LOK3tNJTZm9HsYovuSticT1/7DeN1BxUpLeONZ7loma+UYk1+0QWdzppnv4LlQv/Vp1bJAK82M1/Ge+hC2Lyd67VhfJElvAnWYt8I8fucnNauwWthMsY/nC4pVHEOHY+Q6C7R1BF9eIYZpdhuRHavB16DZU+BsdYVBEKIQBD0tZStbV4lUwzKON+p5tiA101LXnSQ3u2R3u7UOD1XbgAMEAm5Ce9F0TUhDh4lmXg0DiWLMYI7OsVMy2J4aYpPUxiOADC39jE7W8EzqWG9fSVwk9b9T+HmwjXn00WLf21Uasg+xhjcKgPlwnW1h1nLmre4jNmGi7csCW9VO+VRUQwGj6tPytwKH8AgdcnX6nfLXS+MRBrfwrlljBlOVZp7ccfV/GVE5pLqmlImbjqyiZkfv1hT7aJmxxZldFMqvatzmzDgNeLRK2eIFJGfEJG/ICIHIlKIyE+Wx/9jEfm9Vx/ixwSybA2o47+aOIs5CfxMm7bknUCplVuT2bvSntXqwBcdh7vEOIyU45jFVmkUskL7NFisTRTNeWusHMdSvoHZONpiuJEyRv0S9GjNQL2u2kELXKfEN2uh8ezX5cfQVfkx1lgnl1z3WWNF+/+39+8xs3Rffh/0Wbuq+vZczv3y3n6/3/zGTjyTIIEZhCPs2NhIviASxSDsQCAJhmAEWChABCHBEwskHEFCUKxYRjEkCDCSiQBH2FbsoDGOTGLHzthjz4znd3sv5/acc557P91dVXsv/ti7qquqq7r7Oee87zn9vPU9ek53V63ae9WqVfuy9tprydIQ0BlzQqBMktRoFJ1dWhOcc8tITZXylvenK3yo1PWwnY/QcFc6guYcs+oZpYULU0c5sKXMOlZ037GefvBBGYv3F1h5/rXUxB095jbpi6ty7/SkWcNH/vwId36O2dvDPHzo47/81V+GNMPuJdhIYOGIFpbB0SXRs3NMahl/OUUyR3ylkCtkkExh/3nO3k8yJFPcCMgt5tUlLJbxFczVgujpKZz54JCIYD76CHNwQPTwAdGjh7hHd3E/97NoZHBfPfEBcO/exdw69O8VQJZhnzzxMWoqe5ZbZRZFRJ984rMBbSOzDbiJQRlLNF7TWlPTYVwq3m2ZjH2gYGvLdMIby1GWEe6afCjogU+RaOYZKGR3huVIXao6ThmLDpdU6qusXtY+wymx+JTaLMvToUEjH7tjOSmo34c4/8NkuuQjyME8fVm2oyUfoc2XwwNf2HS65KMrC1tFTk2aOIma5KvX3yA9rfU1AWu9XACcJX/2wve3v/wjSDOiqcUsHJIrkvppk4t8+Wah/rlliuSKyZT4xAerjWeAg8ErkAziMyG+EMiE/NgH+ryaDvCL8jHWCjaNsKlBHaSLyJ+7GKIOphcD8syQ5YY0i7BOOLsa4hzklSCPqmCdYKIMBfJbOQ5XxrxRK34rSqykkxwcJKee18WhN+i5CGwEJlUGxxaskkwdqsrlz32H/ME+PL4PHz8A65YyK8XoVmW8IurN8cm6cFN0tMfNxS61pW/lsSEivxn4C8CPgP8L8N+rnHbAHwT+3NvU8Y2ha9y8bs9yQbN2z3KDpuv6b4gPoshnphiPvCuoU7+ic/8+9slTmE7R8cjv1/oa+OC68ujAVpOeap03xSV1y9t46/alOmBuK0y3qENZphJvwJ2cEo3HyGjk1SC36JMj+PQR5ugE9+iOD+CIEs0d0dySjyPsUInnin7/Y+Q/+sF6XsNvd3GJOTxc6rQqbjrF7O1RunCoQ63zmVTi2MdcuH0Ap+3B7rrut5WP4vS71dPdQMftbOPFsi6uUKsHzgpNWDVidc5Y0jjntx8dHiKqPtOOceX2JB3FCBAdz4nP5iBCPMt9fKLUQWLIR95jY3jiGL/w+8cHM8/k+EcnGAVr/XHNLWaaAor5258DYB7cxwwS9O5tX2ccweNDv7oj4lfuc0s0HpHHjejn1pXxNYCV4KEFnXn4AIljnwFoPl8j1y28i26AnpaT821iPVRWt8rFwbVeatRol+WYMi1qrcxqndVnZhpbUksvN1m9rlh9bGzxQldXDaurgOX3gqi8vyrfssy9uXpb7TKreuQVq5eV97Hkr0V+tXJrHnV1msF4AOvi3N4APV2Lrr65SpJbNJv6B3pxiTs5xdzfY2gd6a3IFzASMN7N3TjAeZtclHpPHw0TFmPD31yQE+9Bbwy4sJ9f9vwa93yWkOcRzhryRahDvIHC5Qk2j5hPB+Q2wlpDMvZGX+cMVoXURoDgQsYJdQarBhM5UEGHip14ZZXAL4BOFAcMj4QoBTf3MZAyIDkDjDJ67cD6mI2RBZcr2ae3YTLg4Ilf7JPnr9DLENChDZX3pBPb0FRpb7Ke7iC+iaexU098x3T0bT02/lfAnwf+PuCfbpz768BvfMvyvzGsXYnRyvcudNHIKs3KilBxjX79fOhkjHn4gOjwkPjTT7yRA5DIYEYDULAvX6MvXr45H5UG/a3l0V7DtT02SiPLpr8dwcZ7Xo51l9c0L2m537pct6HZzIc0WxkBzXPyp8+wz54vjWU/eQZ/+0fI3/oR0dkVkjpIc+J5TvJqhosh24sYfnFGcpphxsM6Hy1GNAmzWnty6tXSOezREe7V62UGlfNz8qfPyZ89xx0dQZ4j3/8M+d6nyHhwTZm18LGNnKrl3wA9rcqhmUK39DqqeFE05bMywW60jRquKefnRX3VhXBVv7d2TXulqkSTMQAuzTBx5L2Bkri8RhUfdNap355SLGEnYeA98a6f0UwRB06kdDmNLzPPxzDxfGQh60pW5FsEMxr5+4nCgH4QY4xB8xwJOmrGgSZLO9vWMhBbi8xk4PVYsrS2t7ZNZsNJQ+fbsON62gjP0zjZQVv50ZyE11Ibdpajrd9r5VUfX0t7tonZ+jujLRT1cleK1Baa5n1s5KJ+ZJneucFPrY52ZdE1NHabbT7b6+mH7alZgd+Wxtr3q/CILb07Q3YPd8+n3HUDX4ZGhLSSSnLlaW2ydJgXfB9qFo0KbJg8DKTMoFI8njwPaYEz42MMhTZUFWwWVWgEiYpgjIQgjooWBo1QXpr7mAXqDC7EgSmXZEO2Fglpi02O9zoBikyckvp7SFJ8QEaC9wmEoORCnEZIbJCr2XIx8nI1I4oY6TRYiHgeym7qOu3fDrelQGuGrvK4AE69R0u1D1/n/RsMwMvtEpWyG1/y8EW0HgupSrPkx2ALL+JwsjDy1tvFRltT9JksH7822lefMLQ439FPSIjsUfAqyxLKLkmWcim8g4pzxfYYSSIf1NdVg5J7IbksBKIzy4H3m3h3r2CH+vy3NWz8RuBfU9W2W3oFPHjL8nu8MTo0TNWvADoHIf2cLhZe8dcMvHYdu+RGtQ2aBrC2SZtpiV2x/NFRTm0Vrb15aK60tZ2ru12bVpoiE0VxTAA5OUcAY13ZiYgGV+dwj9E09cejeLXMrvtTXXaeIQBj+Y445/lwDkJ0dLl14HmKotUyWyaUK99XjErbGTZuip7Wda0hr2J1uYu+ebLjWPv+225rXncdm59Nndc1bEmDpvlZ4aPJa72cdp6q17yZzNaXCX4v9CbclK19xT7wEk2jmxBS5Bb0rExsCoOSCGi68Cn4omjlmVez/HQFdi5ReF6IlOmxXWQQI8RTn/5VpFKOC54Z4VMsy+Dg5ajYX+PySlYVVZ+euEy/GW6vsBlEYbttefN+gVxkOXHUeGlQ0yAze+sAiUx9tldMMtLU8zEcloHvulIxr5PZNmmJd31rX9Mo7I0EfjLT9Z5KoEF94PUaJkVO4OBBIZVxQiHeeOltE4pZaSpN5I87E3TDKNJo7CIM3qFCKzEK6g1kJMv5UDOOQbm+pT47iY+nWy/H4Hl1EqaQebUP9p+xhvvJtdL21itJwpYXnWeYuDleCZ8m6GCL7Esje2UYXbzPK4b9Fux6W7p2SKKgsxlqrZflcHWxqJxuJAkIxM/PAYivCgOHp6lKMgrGqWzff5qroKsqmKJpWPjn5HKvaJeLAdaZ4OlZbeQhc8tn6NQb/gbGN4QLG5IqUOir9yICmFs/Dn08PkdQYmM9hUAswUMvuBUNhhlKEQLAJ0mQYWhsIy+EfODP2WFoY0VCfCRID312QPvJfRSBLEWLbZC3bwFgX5/48e7e3lbBlred6u1Sn/+2ho05MOk49xFw9pblf2Po2hpRtSp2RpgvvrbRNC+R1WO1bRXvjI9mAeHz8tKvkr96Rf7sOfb4BPv8CHd8jJsvBwpvxUdB0lxBrPLRQr9SB5WB5HX5aFbjdKu/Dx5BFp2R+aVCsyY+RtOSXdJU94l2pCtzRdq+Nj7K+B+befXxBB7U+Yfg3yqQ5rhxQnYwwBnD6CjzW1Ie3cINY+T2baK7d4ju3kEePqwzWYz3w8BY05T0yVPc1TIid/70OfbiHL26qstsMEBOpz7w33c/RR7cqelgZ0yR6veGKm2d+m17PX3vncc6rLRp1XMtK8nNVYO2d3qlnOo1Hfq8dstadfTepAmj2ZZt7ZW97mGi17K0vlJVizy6Put1NK6proS/kcwqvztklldTInfgGnr6QU4Yq2h6D7V91r02Wq4vDqcZ7vWxT93a9Q50zHPKLSSDBBkOkUcPferUYvI/HqBGSBbK6CTFLByjF3NQiBb4uAFn3tXeWDAhrIsTRY2ST/x9mIxgncDn9MzwE4HKvUa534ogTvx9OCUJ2VHsMJAaQaxiMofMM5zA4raPtcD3PkL3xsiDu8ije5AkmMePIDKIiTwftw79/TXlYQzmo8d1mW9nF17Bzvf7K8bLuhGu/ZI1wtrG+LkFG9d9IN025XXlrJ5rHmkTx7Vuv5V2pZbV49e5/S0WNW5KW9oFEXAvXnpPxUWLQXI48PGJHj+EOCaWQQiAbDAWkoUSLVxhgwAgmgMuGHGH4Cb+uziIzwNhZnz8FRfGlM7w4nQf5yC1BuuE88XAb4HKYxZ5jNWIufWpqgdRjhHHwWCBQUtDhVPhMksAJXOR39EvSmIcRmAYZYg4JgOfosqnkVXGw4zh0BLFiom9mSS6laKi6NiCUdzQod6+w+IAVCCb+M/FLcFF4PYS3E9/BId72H1vrDR373jBzOfekHS+YRv1NdvUXerz3zYryl8G/gci8v+sHCv07g8A/+5blv/Noqt/W6cAuqRZ2z02B05tJEJpMXwTPopFkY3dtCoupAYqXBT18upr4GPdzS7pO0neho8GT9dwkfqws01U9K2+akiwaHfvkV8Xs6Ck6dijv3U54ff6+AgChwfIZIy2dHLyvU8wYnAGXHD3JzYYp+w9yyBE3pckgQPvWottuCU3+chzEEFfVXKoO4e+PmlsaTCYRw8R9ZMRGSa4OOkWxnVkhq7Xw+vp6QcdC6Y2Se+aOFTn2Nvc98qEsr2+EtJhLGggPz8nnkyQ4dCvYCvo5QwOJt4l1hjcZIC5mEOWo5mFJCaa5dhJQnLmcPcisj1h/NoPrgjrnIuHE0YvrmCWwUEEiUGvFEK8C80yXDonmuyVK+Fmlno3+yRGD/eQ80vc+bk34O3twcUlqK6XWdEgFJPV6RTZ34O9vTItXJfMsk2Gjevp6QePbVLkln1RG03xzheyvrhEK4Exa9e3tJUrfAxHxA/v4sTgPnlQX4E+nOAUhq9SRsdZSA/sV8tHxw5xig6VfCwYq7hYQGD2EDB4t3wVrFU09gaMwy/xcRVCFRFeN8zMxyEAiOf+vbAJfpU7UsjBpJa9lwssML8bo8aEeZwgP/vTSBa2E+4feG+S73xW8eoTGI1Kz9FCRtF3PY0OE3SerpXZWtwwPe1xQ3FT9LSrPSsOz2a4z7+sXxJoZDgkfvQAZwz8xp9BjCE9EFwivu3JFB2BLWasYW0tCdOWdC8ETHYQp3hvDAlpW3MDBmwumEiZpQOu8iEiyqurIWCYZwZFcbmgOO9VgW+jPhpfYIwiKqgomTVkLkHVkWARES5zb1yYxCmn6YhBbBmqL2mUZIgIk4FPYTUcL9As8W1t4ry33J4fnzLyfbZNHNEswiWQ73nhZvsKYshvgZkp9qceEz+4j2ZF3Cbjx8bWoc9flItpm/orwn2+w7Hpe8fbemz88/jtKL8Yvivwj4vI/wf4TcC/8Jblf6Nouu1VYz2UXghN18DiGgVTuNw3JtwmMmUZK3VUXPeLgdOb8lEMnLbio+lKV/Bh3iUfxYBsDR9d8rgmH+sgELYzbP7jA7A2bkIta0yAKpioklorWrX6FDEHlrKv06x4HOnq8y3dXKs0jQ2QpkLTtY8/Go8BQTMf16BWx2TsH2sl6n2hM8U2DJMvAzwigsty7/rc4L3kI7xg0uDDRGY5qYnED8yLe47DymK6KCeJq/pKzV16rcw26Oo19fTm4A1XYzdeu62YFin29Wv08sLH1rh9gCFCrlLi5+eIdeggxhpFLy5wP/oSVElOUsgdwzPL8NQyOrbkA8j3DHkCOGX2nUPcMEHHCWQ5zItJnCCPHqJ3D7A/9Rg7GZA/PMCqRY9P4Adf+Vv42Z8Cxa++WIsMhzAZd64CymSMeXAf9vdqsnGvXuMup7jzi7eW2bdWT6+BbbZydq2st15bt+L5tqzhOVSWG8631qn1z/CrncEN/auy/rwE3ppBRb8p3Ag97fB2azvXSrNycps6NpJ01KGdv1auX1dZSaN12pUaGq9FZ5Ha8q3rwGoBJR/rjORrxLExSDbb6emHjvXbmjv6q9ZtvPVPqV9Qv776pZxuNGlklajzc/VYk622c9XfHbdR+1wps+WzUXQrI82tz63bc9c8l3XHaufZrbb0rQwbqvqLwD8IvAD+Z/j7LzKj/FZV/dW3Y++bxXUaq7Zr2gKArZTb1Wh+KHxoB/0b8bGZ5p3xsQluy79dQEcD3t44N0nW0awaotbV0E0knac2He9gY7sCtho0d9N0cb0q5/XlvdXY/Qboaeuj6TIIs8EQ2/IdKgbQirA7DaBr+fC/9XKKnp/7tKjf/QQjQvL6EmMdUdjy4YzCxTlkPlWAAFHuV7InJ47BpaKRIbub+KwpLhi1bo8hjjC5xSy8N4QxPn6L/uz3YZDg7h+gwwSrFnd2jszmfpCQxMsBXhFIdDhc7ttu3GJ869Cnrh0OMVHdYOhev4Ysu7bMWnED9LRAaZhsGnarNBXj7NrtlVKhb15fnBeQgwPMZ5/WA7wVBtbFnPzLZ9izC/QXfxmdLfzWuHkKZ1eY2QIzT+H0CnGO/S+ukNSSTQQbw+AkZ/zKR1WUGUgGhz+EaApyBZJDshAGF0KUwey2T4Vp97y3tgVUyi3f5EO4/MhgIxie+ZSgDiCCCGFxOMDGQjxVZGGJLlIkzZHjS8xsAS+OyH7yZbl1SvOc/CdfYM/O4Gq2IjP7ky9wV1dLb77qfOS6ff+O6+lKmnOniPH7/1dSu1ZpQjyWlS2QRYrpLLRfTsqtdGXIgcytTAWb2+80BA81ufgdV27p9Vh8OpwPHqqmsl1vOTYV/G5PCf+KAI0FZfFaRsbzE0WVbX/BMufw9yFOvAE4qfAa5JOFUC9usOSjfB1zL590KN4LdG+0KjOlXEwSY/wCSIvBqTbJlCUf22yV3mUd7fEtwQ61pdc2bIjIz1Z/q+pfV9XfARwAnwKHqvqfVdW/8Y54/MbQdNfRxgovNCbZxUCoa8ADK3EmVjqjSqPZ8/FmfGyzCrRL1sa1qAy+2+JjFNHQW2M6SEFDK0013WBJ0xKno6ij6znX+CjONQb/Ni0CgEarfKSZ94TIlwFEi7SH5aBHpKYDJjZoI0p+MQisDTLWyszrQEkR6rRRVJazlcxsvQ4NMvu26Gn7ItjqQHDl+zojacf129Bciw9VtNiqkfoMIjpP/VYn61bLzB3VVWmVYJxVRfJiZugjn2lx3imaBc+NNOis8+XUtlRltmDMfxR8Otcts9wHhvbR0tsn4NeVWRtugp4WKPubivFihaaa7ajLHrzGnbe2MjkYYO7dqRk1yjoAzXI0z+DlK3AOczlD8FuURBUWwfNHqAZsA/ExLyKrqCjOCEYhmQmiwuA0DPgciAsZJFLfjuZ7LI0uBr+dyoFGkO8VGTS8iddkvv81CxdoDG5/gACTF3MEiE9nGKe40wv09WmtrbYvjnw7+/ok6H1DWKq450fvxLvjJukpUPb/qnTKRyaj4GAomL16CLzo736FqpLMne/fnBKFWCzRzGdqGh/5dNBSREoMuoJCPPWyMnkI05J5wy4qcOUjimom5TjOaYg3pGF5oLCehKRQaiM00GjmM6XM0xgUstzHLkgih6CoOEwcnlURcDEJr20OJuirHS9lBaBDX1c+AjvxgUTTQ39y9NIbqbPbiW/rxyNkzxdQBGOUW4e+XRz5GDdOBR7eWZF7rU2+pkrdBB1dGQdWYkB1jr8KY2eWkx+foHkOP/wSnGPvB+eYuUVSRWzYGjL338evfAwjSfHtWY7fZpd7GhT2vvBW2uTIYOb+nKb+uZ9dDXzMeOs9zI34GBjWCfPce+rO8xjn4GwxxDphmsWk1uBUUPU6mTqvv5H4F2RgcsbxAiOOxGQoEEc+mOggSjHic7AYsb6790MFooGn0TjE2YiVbM+V8TUcyzgbeey35ORD4epuXLahqupjOwH5Zw9x92+tPIe258RwgNxd1ecmdqktfZMYG78kIq+A/y/wl8Lff6Sqc+Dpu2TuG0WYnJRoHzfWoWwk2maguI3r4DfOR5c81hXznvjYWOYbdDQfLIrBd8f9rI2hEa7d5hlq5fvaOrqK2cCHOz3FjEdIHK/QyOklOhoRnc/R2KCxIUotdhQjiwwGsT8+c5AuQASNk9Vybh36GDIV48NaXiPjVxWt9TEQpnP0cEx07w72+KzM4LJagL/PTTLbOE6/SXpalXeL7GsG0A6F3CpAcKWO1pX0jXxUjiuQZbhf+RF88gievEBu3UK//ApzOIE098a2Tx4so+mfpbhJTD5J/OV3I/IYRmeOwbnDisW8msIoQccDGMTwgy/IrmaYTz8meXFOfneC4OPG6NExAPFkD15ckMdhUBLHEPtgZUynnfLIX732AxV1aFfA2g0yE+MHhJ24AXparkhLy9a6xp7kWgyOgr6qS+o9fwqDpkRSpiksi1VdlhP7dL7OWsoo381n4Sr0wfOmuSigxTFAQyyiJGQPsAODkeWqN1BmwjCR+BSHDqIw+SwyUpgw0C7mj854jyqnSwOExKGcTJfHQtkS7tsE4xoLb8BWMcuJeBpSIEfSvQ8cSsN0cdxEpmZYHu0NYTUjZ6UArqOnH3ZsrQLNcU+jTTO3D32blaah3xO4ulo+p6s50fkMiRLiRMlvJcQXloF1DE5zXJIyOJqRHyS4JMIJ6NBAmFiaFPIQ0BADdiBIqjAEnUbowEEWoeJwdunraDODiYJBxgLWIIlFjSOdRYgzOCcMY0vqYmLjWOSxN2oYxRhHniaQ5D7QS6xgFI0Uk0ZgBaaGOFayiReUHUNyDmYO+QTyAWQjYe8VzA9g8iwnuchJ73rriDWOwfkCuXcfHVwgd+/4d+P+PXSQIOMxdmjQYUQ+GpAcndT1a0Nfs/aZ7nh72orGuL263X6FZj7DzWbIYgEXU+TwgJFJMAiLB3vB4GqIFjC4cAymkI8VO/Lphp3zumk0GLlSiGc+m4hkQjyHq4+CoPeFq3SAGJ9aWNRijMOocJXHZA6SyJI58AsSBlIhRzAuZmh8gI9RZHH4VO+x+En9JE4ZRhnH7APKwsXEohhykshiRLlkQBwpzoW224GJNSxYCCION45IR45R6jMLqcMb8axPx+wOIjiIUFEmnxdxEi+9PCdD7K//BLIc8wu/2K5bFf2MHz+EZAAvNzzLHdLRNzFs/PeB3xL+/hH87Z6LyL+HN3L8AvDXVHXd0OiDQ9l5NzsKs+xMmx1rMchpxseo0bR02M1j1WuMMd7C9r756JJHtAUfZjlee3s+ZJnveQ0frI13px925PPromXw3WYAanYkrR1LA2W5bXVcg2Yjr07Jnz4PNMvnaz79BBPHyMUM55Q4s7A39FbtWeat869OfZC8kxNsCH5r4qh2/9EnH0Mco87iLqbbySxOiB898LnsAHGKOfd8yN4eenbWet1WwQc3ySkI6xp6+mEPxLWYdGlrh1hrszoGgVvrq7bXsQ0fNW8bWBoDnrzwv8/O/PVnUz+4moyQB3cpposCPg2nQLZvsAMftHFw7suZ/PA00Ijn9XyKm82823PQM2PVp9X88hliHYxHyGiEOof80MfaMPfvgRHc6ZkPaNo5cPaTSa3c28otr5MH3Yamah07r6dS+dykY1VHjEJfCDKkcYK2c0U5y+P1vdm6vKbCT9MBZJv3YZ2x+RokSPV+mu1dq2NKk6i9Xu04UpVNjaLbCWY1lekKrqWnH3QwZmg3qpXjo4Do9m00SZCBT6mp87nf8lbxZoyvUtxejMl9+ysW9p57t43B8xmoMrhypPuRd/FRv2Icp4Vihr8INAZRMOonfpqGhYo8AhSVoAoK5KEw6wuIikQVeQRZBJFDNQJRFnni61IDWIyAaoSIIlHQlGB9M+G9ECtEzpAbJTsM9xqy/dgBuBGoEdK7PsBicpEjQJIqeSxoBGZhYZB4Y4Yq0UOftS26e8d7nx4O0Qd7cDHzBseKXGtjdGPavWZbccPGpw0U73Zb21WcE3xgTr3wQZeNE8SAiyOMQD7wiiROSUKyDxe2kTp8OyHBqIGGjCn4lLAaQzoKapt4gxjAIvcBPAdJ7vtvaxCCYUFBRHHq+/bUGR+zPrRSBu+dAcuUsJl6r1zronDtcmfGMPZ1zLLY32tIQaxlR03pzKQu3E8u5dhIBwSvvdAem+L+LDLz7657+RqA/Psf+y1TxxfdnUYYD8tk7BdMtlh12yUdvbZhQ1X/GPDHAETk1wG/FR9n47cAvwffhF2JyP8P+AVV/V+8O3a/Pmihgo1nt507dDt92+9NNNvEx7jpfDAa+cj91i7L6uIjjmGQbDBsNJhajw9zIH4T0fJMpIgLoBoGRApO0WrDm2VomBQWg7wy9WUUeY8LbX+ft+VJ89x7k+Q5SMNlfJCgi+xaxUoUoWo387O9nn7QA/HqCvZbG2K15VjjmjK6eqMfX2eILY1pRsotU128FnxoFGHCKnlJkxic+jgFCEgetkBZ9YYKwCSxd7dOc18fBl+KlFsSTG791ihjMMb4zCjFfSR+VVGsK11Lu2WmLcfWyazutTDeG8GGTHG7rqcaRN+aIrdl+93yZHF9o1+relJ0DADbXLPL9kbrur5Sb8vv8rpi9i8E74ta0XXeA02Xt1QgwbEsp5nOWB1g6mPhVXmscBrGFFKhqcijU2bdcl3MWtJGrlS7O4PxHt9i7LielkHpCxQG4JrHldS26dazpmj9WDEOHPv00a5oNtzS0KrBsBFFIT5L4YHmdNnKBBoZhLbNOG8MZEkTm4IHCUYLQh9f6TeNlC0YeKOHBEbK0aH4bSlWBYP4LFPLXt7XoTEKIT1sEVcm8KgFrffSEOuHBs4ur49dY3wzd0hsIHPlNlY5nPjr58v2sXNcZGL/fRv12yEdfdvgoT9Q1X9dVf9xVf0+8BnwXwP+IvDbeYOsKCLysyLyF0XkSkSeisgfEZFoi+tuicj/QURORORMRP7PInJv63spXJJXjm8esHTR+wNtRBvq2HU+quPAa/IhkzHm3l2iB/7RrXVTjwzx44d+NXMdFMRt98cOZEVZ63ZfkLQYarVB86bPd6stApt4bdCgIHuT0l253MmSWeR8hg4j7HiAO7/EfvkEvfCuotGjRxBctM2d20SffgJJgn36HHdyjJtebc2H5Bn5V0+xpyfYr56Qn5yQffkE9+qld/MDzHc/Rn7DT/stBS1yapVHHCGPHxN/9Gi9rK6npx84tlkX3oF621ae37oKaXy2/Hpf4tsGN0pPt0C1P+vqj9YY/MsAsOFPr2a43Pr0fINkY7160bAyOef/Kkat5NJb9vOhH9INzvKwgTtsGQHimS9Twio2hbdUta4w0irSKpqMckk0ZDQs27hsZMrrXbjODf0XO/FLjLK/56cQaVYGA5W7t33d6+SarG5R1GpMEgE3HK6IrIZvm5722E1sqae7hPaA69fv1FrLeaO+USrfmgV8/Z3tm0vjTWTW9n1NOdtUsWNt6dumewVARL4jIv8Y8IeB/znwDwFT4C9cs5w74RoF/mHgjwD/Q7YzkPzfgN8G/DeBfwL4TwH/j+vUv3Y1dRsXzy6a2oTzLV+irep4Cz6qh9+DPMyd22Hwd7WxLrO/7y2728hUdbu/Dx3rblUpA2F23kqFpvX5Vudc657fBpFLEdxzjUhrfIhg7t9vZ3kQoXEEquiPQx70wQAxBl34QI8yGGAODnyZIRaGnl96NrfgFcFvQ1BFT8/9ibNz/3s6Q9Qhh/tw+9DLNqvstNsgM3PvHhJFPlXnJtwQPXXFdglagldVPbukQl+lqRjPym0iLUFqC5qVle8mTQsfhW66ihF3HR+IgHOrK+mFB0SY5RUBQv3BcCwv9uaJX6muz+p8OYX+aCUAbXFfRZA10bLMbl6XgWrXyawroNtiG2+kG6KnQNdIcDv6TTjYx3z8EebOLaKPHvtUvarYZ89xZ+eQVmTdwYd7dewNGYBeXmKfH5FPp8h4gIrgYkM0d0RXlnhqkdwRT3MOfzhjdGaZPM+J5o7RK0e0gHgKhFAF1vj96LLwx1BCMEhv3NAYJBhGskMhG4fAiwY0Fua3Dektw/yOgdzhYkM+ikjvT9BRjMQxcusQRLBHr9BBDN/5aCVwapvMlqu2Y8yDe5h7d5c09+7AT39ns/xvkJ5u49WjQWbu1Wvcq1foYuG3oRhD9N3PIImRuUPmGYIQXzokcyGjwVIWyYspyesZJnPEZz5QY7TwAYnjCx8YWVLv8i8W5Aq/Yn4WgQWdC1iILyOiywgzF+KXPmW7xoriyDNBrfjV79iCKLn1qj6/THBOuEojFpkhTSNy6+O4FMGZSQWCjU+9m5FftFa8LjtY3FJc4gOhRqnXdRaKSZV8P/Ftbu4DUma3Blx9Zx+XRGSHo9rQpZTz85eYv/Vj5HJW24biaRp9zWQE//G/d72uLx/uNjp6S0T+hIj8FzYX2KPHO8b2bel719M3ibGBiPw9+O0nxd93gCPgLwP/Wvj8G6qrDokb8AeBMfB7VfUc+HdE5BD4eRH5F8OxNn7+AeB34lPM/qVw7Anw74vIf05VtzKwvLU7tBh0Q5wOMfXAYq1u2eYN+DBfAx9vLY+WQGtb8AF1q2qXPK41HNmNsctmKGVcgaYL+Vq3+y1oWvfwVtz0237Deh3ojBnT5KP6xAsPjhCrRRFfb+7KqMtR4l0Uy0miEW/ogFKBawH93kpmoRxjiCKDzZb7nlpl1nC5jJKksp9yA26KnsKyjWDNbRUnmkTFb91CJMpy5fkakPEYnc0afPgGUCZj9GoGdw7g9NIPTlVhOoPLKzjYgyyHJCY5W5DeGzM4t6S3DS4RNBFk4bC3RsQnM2S2QJMIDvd9VdZWgtQu0IMxfPwQTs69UTfLkCTxK9dZjtOciASZ7MHZRU1GJa8FovAe5LZb+GuEqoMBbPLyv0F6unZvfJBfbbvSuv65LNPTxw+8sdaEPfpmOMRdzSDL0dPTzXw0n998js7nMB7C2MdRcMMYERhe+a2bkVOwSjxzmDPFKiRX3iA2mHtjhrhgtLCQpMHtOjRrkZ8vorG/fymaNxGykE1CIm80c0MDsaCpw1jfvrr9EN9hkCCzHEkSJPb3o2NvkCZJULtYKzOS2Hu2DL3RWucLv6XPWsxnG4wjBW6Qnm6C7O95w2mW+1g8qr79wOufDBKix4987Kh5Bkwwc0cSUlBLZWuPmeUMUouOh4ASh0wnCBgH8RzSIRjrDVwAxvrnIQsDEcgiQmb+usRFiBXEWq9XEagK5AZJ/FJvFAMINjWoGh9w1Cg2TUhT34fifMwD5gZUkHTJV2ENlDJYgaKxz/gTz0JAySuvz5MjB0bI972SmxzsJMGOIgaXfjxBJGVmNMBnnHj6CkGJz1qi1mrj+099AqMhfPIAvtjw8LbT0w9yWx+ssl+Mztd6srUNiJokbYLR6pfq818nxuUZ16BaBnZf1yku69iiitVtdy2XbzccbPLawsYasWr5uXrPbfQbmNkW711P3yTd6zPgl4F/Bh87/Y8Af6+qPlbV/5Kq/iuq+h++gVED4HcDf75hwPhTeGPHb91w3YvCqAGgqv8B8ONwbitox8riumM1N/QWi3rzms64FB8KH9WXorkacG0+ii/b81Eer1y0DR+bIM5t9bcTKB/vmsaqoxWqZwBoXM+q3qx2WN38rOVjpaBuPmjTmy36xCZRjaZ8z7rvqNvNvLviNjmv3s72+nqj9DSgTaxFasvye8tjWaFpg7TT185VyiyOyd27mIcPMNWtAALEEdH9e5gHD3C/7jPcz34f89lHfkJwcIAYg/viGTKdw+UCmS4wx1OieY4ojF/kjC7ARkJ0mSESPMqswtMj9AdfQDIgfvjAxwcCJLO4xGAPJ7gHdwDIn7/AvX7tjRq/7lPs9z/CTi+wRz50uYhAFGPueV4LLw7z8UPk7/kpeHgPiUz7C1v1mGvITD59DN/fvBJ+k/R0/eB7M826ftFdXaGquNkctdZPjkovnHWDzXq76WY+BSdR5P+cQ6czf+z4PFwTLi72rQevHAWcz6DpvTCKSpwvX0ULG6L/C1tYqobFYq5oFgoaUhm78BfShso8eJ+EHIY6m6N5XqYf9ggFDQZLVyzwRorg0VbIjCQBY1DrfOrlSppjPb/cahxwk/S0QDPdegHv0SK4s1MvWiHEiBLvNYN4r0ER8oOh96p0GrLbKGZW99RyB8Ng0KKMguiCEaPYlkQ1GVnjEZvUMyEqiAvBIYtN5WHmISakdDeA+ACTakNbFvlKbQhe5BeEQ+GLUFAwxom2b34Av51KgMgGI12uDM49s3YcPFwi72EaL9QbNFRrRg2gDCSNAtN5e2USns94CHsTr+MfP+zgrHLZjutoa3atIKvCe3e1vav0P1KsKQSaNGxbu0gRgSjXsP182c6F2J046+NcFNfXAg7nQR2vwmduyphBBU0RNNSI10XUrMQVshoCnJb9gSl5tVosxubeC8qElK4so3IUtx6ZDIGQsao+0NVQvyPwkVQ8hQJtXsT5VH8/bi9aBjwPYxl9fYagcDBZjnmaj8eFOGDpwl+/xcLQLrWlb7IV5REwwxs3/nb4+/E74uc3AL9SPaCqXwBX4dzW1wX88obraljpJ9v6zTeZpF83LsX74qN4Aco4Bx0TznfJR5VEwE19VGQZjSs0HYPNq1nporsWSnC13OJvB9DmBVOmAiws11ZXGqtmusCVYHRFZ1Re0NCT8HuFpvJ8ijq6tg8UNDX3f6eIW6anVOeWnkMSgio6H1RRwwqUm838gChEfye3y/sJKWSrvGqh1w2ZuYqc2nldHpfFwvMaRcvVwkoH3iUzdzXfznv9huhp272uTKArOlQOSVv0te179fc2NG3HzMG+H3BFUf2cCLK/578/vgeRITrYC6vOkb8P55BF7gdTqY+sb4rV/BySDBAhSq2/peLe5ynM5r7evUmdscine2UY9Nm55Xa8x/fAGCTPlgHCxP9nCl4LeeyNkdHQ89th6FknM3P7AEk2OHLeED0tsE3MIO16v6FmMAOWbRfgnh/hXh+TP3mGe3Hk009Tn9Ov8FF8r9C4F0fo6Sly+zbRx4/gYor9lR/BT77C/NIP4PjMl6sKuR9Y615IQXwg5HuGbB8WB5Dve36TKSRpiKdhgMjrsZlDlPnVeHLQseAiiGaO0akyPFPiU8fgSknmYC6Vgx+fkxxdIPMMkzmiyzn6dz/HPn0G5+eodcjHD72OZzlRJY4WQPzRI8zjRxBFuOdH6HSKuXeP6NEDuLzEPnkGZ2fLLTk//AKeHXU90uVz2XE9NVHj/YzChEq9V08VRVtWptotaMxya1rZJsTBq8uFwI/Vcoo+M/whFeeYwmgRL2kkHC91uqCpLKNHSG22UZKKKesxjQKKpDdFBgnaaCpj1YZdpfwSFXU4f724Kq+FESXcq1MvM1UaJH6MUgRubsreLO9VVb0nnilktSFE4LZ6umMoxqmqWo7lVmiqY9ZKs2qPXgEQp16X44WSpD6IfD6ujOkUkhkU2ahN2JaUh+mDRl508cKP0Zw1IWOPkOf+Ac3SJBgZDKpCrpBm3pOnMFpkNkZVMUGNHUru/PUnqa9MiULwZi0twXnwYprnSeFYHGShS0+4ovsJhj0T1iOcURh4uQ1OgmCCF7NxIBZsbNCJN2hED0IGnx8/Q3OHTobBUNPycEI/pvMFpIt2mtqDYqfa0jcxbDzGx7D4HPjHgH8POA0BP39eRH6HiEzWFbAGd4DTluMn4dw7u05E/ikR+Wsi8tcyFt0WK+n4/nXhPfJh9veIHj30+4C/bj7GI+TeHczdyuPZ2/NpNadTbDW1ZhcfWYZtBlZrJfU5prf5+9CwoqcFugxK1eNrjE5dcl27CqYVGqkfa16/tpgWXlUV++I5mmXYFy/8YuIk8at055fwyz9Gr+al6du9PsbN56VlX/Mcd/QSTdOw6baoInxJYmQ4QEL6ti4+VnmtfJ8vcJ8/QWcLqmH/N8nMHR/7ldoNuCl6mrJYOb92dfqtMlJ1G2vXrqSfn/uV9Mo+aT9hUNxFWA1++hKsxZ5dolnm3boP9vwq8jDxOjqM/UBqaHAR3uBx7FMm2mHkB9RJ5LP6jIcwGePGA7I7I19/4APr97ELAsMhOkywH4WJ39OXPlBkMii9PPygTnEXF36rVyGPyyu/Up5mncFy18nMnZz5e12DXdXTzrYUNvZl5Qp4F4qBu6w2J3ru+yidL7xMhLXtY2lsatDIaAQi6GxOWL6G16GfPNjzNAu/RKmjCI0MzkB2EAbwd8UbWkMsU6P49IiV+4+v6usbGodsPyiD4EebTDXQ+JuNZxmDI2+81RBUWX7lC68D1vktW4NBSJMMMl2ACG4685Pm/T0YDLxhuzDcBc8CN70q3cTdvL5Kri9edQuRa+vpe98XXvJdbUvdalv69TPwfop522rf+bD4mxjvs72efmhY257CsiEp0DHBLi1bVXnP52S3h2SHI5JLS3KSkhx7b4dsLMxuC3YM8UxJLh3xhRJfgbPgErBjSPfBTvxfuid+f0HiyMP2JVXBWbDOcLUYMF3EpLlgc8MsjYOxxJBZQ+YiEnFM4pTEZAxEydUwszEzN+AyHzBzMdN8wEk6ZmYjLtIRmY1Ic0NmI85mI05nIxZZxCKNsWW37flABazgMgN+dxbOOEYvfdubnPj2OZkryblleJRy8GSBCwsRMhn7hZnMEv+tHxL9jR/Ux+pVVI1Ip2ebn/WO9flvku71CPjT4Q8RucUy3evvAv7ZcPxvAH9JVf/H162i5VjzFXnr61T1TwB/AuBQ7qoRg9sQl2Jlb+1141J0HKvt83+PfEQH+2gywKQpzOete3y34sMs531dfMhgQLS/7wd7sc+zHt2948u4uoIQQb3M097FR5avrDi04gN54a6Lpp4Wx7d5vlvFx1gXc6IjF/s2cTreSBezHPvkqT8wjNDhAD27gNevEeuQk4v6pOzlyzof87lfIYRSXwr9kWRA8ugB1jpstc7ryuz0As4voev97dgbL1mKRksvpE7cMD3tpK+tTtPaUl/f0619Il+iUoeenOLm8/okXvGeP6+PkasZZjaDV6e4iytkkCA/89MAmPnC7z0fxGgSYW+NmN8fQu649WunfoL26+9j9waIWyAMYZjA7Qny+B7zj7xxY/L5Mzg+xwwTTHaASVPEJPDoIYvPDtHJCDm9xPzoKTJLMZN9JPYZf7wxJMcdn8BsVuqNe/YSXh77gVvLu7tJZvrkCDlpDWXVKGNrPf1g0mdXdfSW8TpatgHVd3Wlf35XsXq2i29UlNuM1WMSnyqwMiKupEf0xosolFMYJjBQphw0Uq6MO/X3HJlGHcWnCbEkxdPYKk3Bq4bZSO58OsTK6quxy20jftuUWRpMivsTH/9DxcdQsrkrfLT9Niq8O7ctvKEaMpvsj2DTmHx7PX3v+8ILVPX0dnxfP5RV0B5fI3aw32/2+Wvj/nWkFl83n7D7A5/5cGEhV0zut5w4ER/AWCBJfTsWZ5W4QIlvafL9wOfIW3EFIALfSBlAUTW+CbMJDuftxRjvDhFobNg/FUc+NawqYXepkIV0UAuXIKLkGpNrhCKkduCvDzTzbBDi8woueHv4FK+Khsjh4qKyLzLq73EYwrkMggNnbAHnt+cMpw5XbE1TkMj4udTri+55WnPca92WHsW7o6NvnRVFVc9U9c+o6j+jqr8Jb+T4fwM/B/zT1yzuBLjdcvwW7R4Zm667veG6Eq6YiTee3Uqk4wraVqc7I9WvOVaL3P8e+bAXl+higUvTZR1vwkflcBcfmqbYy6nfgxtWTe3xCS7PcZVI8eU+tA4+1FryLSyO5QrXpr8PaOVmHdbFNinQ3CdY+12ItWMl3H9vH1FdO1aLtuvJumM6vUKzDM3y2uq8Anr/NtroIDftjVfncLPZ2tXqKn2xVaBVZtfYG1/ApenGlfBQwI3SU2D9yleH50/1fJvb/koZW3iYNXdh62zewl/QlyKo6PkUVJF7t/1sz5jg0SY+5a8I88cTMMLo9QxxCkkYnAiYLOh+ZEAEezj0ARRnKXoSVvLv3wbAXC0QBXdrBOORD/555VfCjAkBGS+vVmU2a+z3tm7zFr01MpN3q6cffvrsHuuxO+PZVWyvpx8k1vfPHXyv7Z/baLqv7zrU0i2ueip1fK9fszzjGmfb7q7zftr4aBnjlOOBlYKrX+t9uK4pp5WRZv1dRvnm9Tuqoz2+JdihtvSNsqIUEBED/EaW2VF+M37rh+CzpPyl7qtb8Ss0YmKIyGfAHu0xNKrX/ZaW47+BbVO+dj2Pda3z14H3yIe7mMLl9JvhYzb3LtPVWct06iPGVyfCm/iYL3CLDSH8levs/fpgVm7WYWNn2eartE3/+q5W0mv0W/DRNAR8+RxevPaTu2IlUIHvPobPHiNPjtAfP93IR9nOLubkz+fIaH3KVVWI7t9D9vawcoxetkQ/b17Ttje+wY49PoVow7apG6Sn6zx/ruXVo0tRdnq66ZqV9DUZmJpePa28livRUimz4dUTC5ag52E5x+/DpWS+uEYlZO+xPmYMzvrPQi6AIphIsFmIEaO6pKmW2SkzXT12DZkNh8n6rCjX09MPEoWzQTOWBbraltTi8FSMrHUaV4bwafPWWNL4FboVg79W2g2p1FuBTTOiJPHeD4VnRsGrdWAM1vl94EJwKnPFRM17QhAFD7ZQzUrqYgl7yB2IAVEfOK8W70OL+APBVBgynpS6KeBi4704wiGcXU48RRBVHCYEDla/UFG4iQCaO2QQ+WxZHTK7Op+xFjdBTxv6WQT9qz37ADebYfb3ccMhYrxB1l+vqLVIHKPOYSKDmWXI4QiJBb0qjK8CVn32HiOYRe7bniJQoghiFY0FmTvMnkFz7/pvTIi1KXiX/xisOCIxiPG6LGGlmQjf/ojfOhAZv3LtGgMFmwnJEB9gNAR4dEUdxoEzOFEijE+DTfEKeaKCNI+UQS5oEXgyXr5mxf24zGEGBh1FOJuVOidIKTNGY8Rc+ho6AmGWzcJ8sWwrrjoCjZYXs/N6Cm1GpxaD0hoar0QVQSzC9s/Qp/l2RH3MmPDcyhTFRUOj+O11McuHXLTfDp+K2FTa/6CHZRHhU0SLqspnWlZVuwVfkNPg31GjKe6Z2linYLSMHSN+7CDFoEHrf8Fxo7z3Ijgzqku5hjaVKILcrjXCtf3WPGctdkxH3yQrym8WkX9WRP4c3lPi3wf+13gDx58D/jvAz6jPkvJfvmbxfxb4nSJyUDn2+/DBSn9hw3WPReQ3V/j8OeD74dxWWFkZbFvRahxbF4itlWZTdP/3zQeUA+dvhI/GoLKMjyDt9K18bGEl3KWIvhvxBqvTrddu43/WJdp1q+RVsi147Swny5YrzwpqBD577As9Ot5cea0KX4nOu/fWiwBRhOzt4feyz7bntYoOmckWiaJujp6ueyd1I8WbV/HWpbYWp6uH1ta4novNPL7ju7hWbdvUfXP0lOUgsguyHY0WA+t1XWs5cu7go8pPg0ZfH3sDwmjkY9OJIIfe31qOLzwDiY88J2nINuHABAec4emyjmLwHYVzkvsTNsSuNYW7c6oMz72FOysipxUZLcJI3w5jGA1QwIaMAPl/7Hs4Y/wWrL0xpHk5adG9kWfju4+8593l1G89NabcUmOPXqKqmMm4W2bb9D83SU9haYxjdQznXh17mSWxDwyohJkZ5RjJnZx4w0XIauMUJPWZU9yeN/rr6SnqlGhuMbnf9mQyf/34pVeY/RfW02SQLHzx8WXgK8fXOVhOFE2YwUXToDypP2esQV1Yu0h9Klcx/nlkaYxT9YYP/LsjV/Upi0aUW5XL9YRCLOEzzsOkNMJn1RBhcStsdQoZYYZnGViHMwIhMKp7fVzKTJ1iDvZ8Ku2uRRSnPo7XIPFxZZ76DFb85Mn6Z8p2evrBoyGW0ijXtsjWoIkeP8R88nHtXPRX/g7y7Jjo1SXxdAGJITlzmNRx8MQRzR3D15ZooUQ5JAtlOFX2f2LB+iDIWBi+gsElTJ5H7P0oBhWyWYSzsJgl5Lkwm8XYNMbZmDT3QUSnaYJ1kIftImeLIaeLMVYjUq2st6kyzQekNmJhfdBRpwYRi1Mlc8Y7UQYhDBNlOLCoE/JccJmgFwM0E7g0RJkQpQZSg5kL81veWBfPFMkcw+dzBpeWONWw+CjYOxNUwHz2KeztrQ/gX/yUMLdKM/LPv9z4eHepLX0Tj43CC+NH+DgbfwkfS+PH74CfPw78IeDfEpE/ijdM/DzwL2klBayI/AD4BVX9AwCq+ldE5M8D/6aI/I/wtqU/CvxlVf0L21ZerKRV6lmxbjWPVVcBq/tkqy/yCk3lZLl6WbnkvfJRsSy+PR9Ly+jb8VFfaW3jYz1WzKw7jaWMrrE63ULTtZJefV6dMSeaz7Mj5oSIQa8ZM6bcL1i5PxMZvyIU9Kmtr1y3N76tzFWZmboHUfWeQzlbyaxjJX2zd8vN0VNnl2nXVlenqTyPgn51y9rSW2J5rFaHcyurl03xObukWVlJD/rg3DpewwAhzcqlF58erbLcM8+RwQBNgleFc8sVIeMnly7sLza58zwN/OqpAJpmyCTC4echJndk1vlBdBCVyzJMFOHCaj3SIbOqPrbJzG6W2bwrlWFVcDdET6HSbuhqGwKUeloaLpo0jcZodYVu9XfbQL9abhsfmuXo8+e4NIfRmPjebVwygMf3MXt76DwHq+ggwsY+ZWF+O0EcRAtfZ6RgDcRXSjLFGy+GglrCSiCIApkSX1iShcMJuGgAsSC5W763CtF5xvAqx04GpI8nuP0hOYqLE+Q3/QzG+pSi8XReZrQiicg+uYUdJUSnZ5gnr8ifvcAMB8sV2zRFnz2ve2M2xxIbVfBm6SlQu/eVMUCWoUcvcdOrJX2cEN25hSQJ9uUr9OwMfXwfNxkQncyIMgtpjg4THy/o1Wv09AwzmcBwiDmfw709NFWSWUY0s4xlQXJp2R8K+cB4Y9gdg7OQHQYvB/GhQYwqZi44UXQgSCbIQsAK5Oo9g2yEGLCiREm1LxXvlWEcpBBdDLALvPK5wroWMmHkoKJIJMFTzpczOIV46r1KXMiQkeSQTwQ98bo+enFFdLpA0hH2cIRNF8SfH6HHp1ir6NkZHB769MN7e8j5eWtfHt2/A3v7uMtLJM/Rpy+9geNsk9fnzdDT1TavZZzenAuIoLFfTCqMtUUhAsRfvkIePcThcIlBHAwv/Xxp76nPOmYyxY6AXIkX/kKTgcYQzbwdNr4IRZfeQoLNfHYUm8aIQJYLJgZBiSKvx6mNy7GBIsxtxDjxUYuUkMbWM87MJiiCVcicjynk42sIaR5TXIV4vVMn3gtp6o0hehFjEDQtOm8YnHuPNQlzxNHrzOv7tOJhEQycGhmMOszeGL2adqtUxVCvKFi7fqG7YGaHdPRNYmz8V4BPVPXXqeofUNV/4x0ZNVDVE+B34J3V/gzwLwD/MvCHG6RxoKni9+O9Ov4k8G8C/yHwj1yn/rVxKdYMFJf8b45L0bU/v6oznXxUVsnbBvnvhI8t4mOsO1bnQ98NH81YHtvsWaxdADUfsXV/O4BOt77qloiOe9nKRU3b6WE1bsfWfDTnCmv4WK4qVmiq7wAdj2oLPq4ls1IXrymzjtgzG3GT9DQMBtauTtcXE1dJqu/5OpquOprltNDU2t+uOhR4dQJXMz9QPXrtD175pcrx33oC8wxrLCxSJHPELy89TXDHd6MI5yzmZEr8/MwP5h7cB7zLdhEwUZ3DXMyInp+AMZjHPouPe/nKn0sS1Agqplytb7uft5HZxoXwm6SnsN7LUDbTrEsr3Pq7KHNdCuTie7PoLAfnt7SY4cAPevd9RhTjwhYRI+Vgl9j7qhWpBSWUKRpSBrL8lOI3y99RHmjtkh2p8CcKUab4Ff8QBybx8WTYH8Mg8akvJ/XAyTpKPI+FsUO1zHBVIk2XOtTyHDbipuppVZWa4ri8LDPLFATm0DtA69m5l0ksEBlM7ojneakbiKAX3vNHXMhOY/2zFSCe+Ynk8NxiHCRXfqXcWIjy4BMZlEeK1Qe8fgEQ+eOS+20lxvlPnPF/KqAS7ilomvoCRcEsIkQF0vrQXxB/HLw7f0WJk5kgTir3CJGTmuCSywyTew8AE+aLErINacjOV3hbShJ3vptmPEYGAyQONM757bSbsK2efsBYMdxCzcDuiWgdB5rDA++tNV/UFVqV6OAAnJIfDmptDuCNGApuFBYUbHBQMqAhTbKxULKhkO8Xi8hKkZI1nCpTGoup0ATEIQXrILIlffPlc+oXIqxbbpvS8pwfBxTZm3NrMIh3SLaB19zUZGgWXrdVdel1d15kT1vtGiQPHnEXl8tms6291Drrrcb8lmt2qS19k6wof+rrYKRS/t8BfvsGmu+1HDsF/snw92ZoefGWFWy+vPOZVseab/Pg111aq2MLmsj4+AXDQZmB5E0ggwRNG5kFrsPHNvJ4F+/Kh+Eh9W7QOQFbnljnLrmJpl7mFnW3dWgt36/FR9Hwhh6zLOfiCg4m6L1bSGPvaoddopvvJq9OweVomvp0g+MxTOuW73cmsy7cFD1tyr65UlNdne7wwNq4kk6l3Daaap3acgxqGZy62v/S4+bXfoJJYpxVosEIUci/eAKzOXuvT9A0xw5GxI8eEJ3PMXGMKGS3BrjYED89Qr44YjAcMv7sMYwnZD/3MzAZIUfn6DxHzy9wZ+fIy5jRXJHBiBzA2rBan8H+Psnd29gsRy+mNYV7FzLbqou6KXrK+oDYhT5UDbrbGNpXYle0GOnWLQo0g3eb+/dwp2dwsIfMU5iMsIMEnc5wnz9BvvPxcmSeW7/CZyB5OcfeS4hSv81k/wcp008GiDW4MAmwQyWaLwf/Ft/sSuZQp7hoGStjsS8MplrGwsBBHnvPzujKYseGwauM9NYA8+PnECfIeAKzFAYxMktx4wHyK5/Ddx4hl8G7YDjwBprXJ9eS2UbcID3tcYOx43oqhVtD5XfTo6gzflWlj/YewctyjDHhdNXoWzFW4K8pM92J9xaSYLcoacTHFlIUIwaLrRhLqdShpeG2athoc2goPTBCQSI+eIeGc74sqfFvRMotKVK4vTUYKUJtiNbjf9Wvqcqo4VUtS3lUr6t71i+98Zv32okd0tG3Ch56k1Ab4NaOr3cPXUfvD7A6WF43yO+o453xsTch2t/3KyXzBUzG2C++uj4f4xHx4QEuitCnzzvv763lsWnSE76vvMlN+g/EkvjOsM4I967K7apjG5q3hNnbR/b3sBcXcHUFUYwZj5CzOfZqBi+Or8/HlrzaF0eYO7d9vdvgujJbV9QN0NO2NdWVjrXSmXZunWvSoCvlVcvtorkuH500Tr0xWIyPLxD2pwKYRea3Kw3CpFAJm3ClzIiCql9tV8Vkzo8Txn5fe7EKpQUNfkuKVqUZVmJFBIkiJLeb76cmUMJqzfVk1oaboKclmka4N6X5mvgwD+5hDvYxkzFEkV/YvrXnB+o/PPI6ePvQ/wGSK1FuiRYWFbCjGIwwOEoZnGckF47L703QGLJ9PxGIUsD5VU/v0aF+D7fA7GHiDV4CdmzIrfWpB60SWXBJBLEhypT4KiVKLfGzU/jBEzAR0Xc+8QP2RebfiaNXmJMzzPPjMuhp9PiRf0fOzv07tg22aFNvkp6u9agMsmh7d7URBVGdKxcLiqCguiywLHdZX+WzsaLuJ3KVmWYxT6t8LuetFf6l8btalSyrKheCW64vywmTSa22ZGUdNTtu/R6Lc64IfKu1+6/JsCqPah0tNPoGK9c3SU973Ezsko6+dbrXmwJhuWevdnwLF9SaW89buqmWQR+/Jj4kjpHREIkizP5eZ7mb+BBjMJOxj9Zf1v81yKNcue++Ziv31B1yo9oGxtRf3bY9cqZxrPa7NBI3aUzr921p2nTARJt5bR6Lbh0goxFmMCx1LLp7F4MgP/wKSbP1vEpxXDppOmXmnA8cptousxW5tvDRKLpLliu4AXpa4y7IYW2K667U0lWatiwSjXLfLNX28nfXdiW5c6d0pXfO+YT2Aeb+Pb/3+uNHcPcWDBIf/zjNcD/4HJdmyC/+EDm7xEiMOTzwKapDcMT46AJyi336HDebe52/fQvGI+zeCFdxKy9jwQwH3s01y1a2PbXKtbzBVRlsI7NW3AA97USzWVjTn7Ud76bZXE5bvbK/73/EPr0wo8HSdTv3mSto2Zbk95Qvly2TiwwUsrt+y4iLCaH8KVfjii0nyZWf7OVjA1ERvd8XFIf4y1Fa3/IAYBbWG8+eHIF1yGRcGu3KjCcnZ6CK2LAFa2+CiSJvuGvGwVkjsyhq7kZuwU3UU2HZriqQJETf/ymI4+WtFDR5Tv6TL2qxSvTvfgHPXyHPjsi/eooWcsyWAV7zo1fo8QkSGcw0w8wzouMp1eX00ZcXTL689Nuirjwvw2Mgh8HrIr6BoInXNRsHNXNLYwRAlAlmbiAX9MS3n+Q+7stiGmPnMWoM2e3cX2MJQSEFkwYDhQESyGMFq8RTT2NDbI18D9wQBheO5NgiucONBVWH/bs/xp6dE89yhkdTOLlYMa7lT5+jZ2eYvT3MR49bH0v+4iV6fOwz/l03iOJ2Oro7Kd573Dxs35a+dz3tPTYCOgfXbovBdeWaNxtcV+rYIj7G2/Ch8znuRGE0RM8vkDu3r8dHEdk8y8iOXsFksmLlfus4HTU+Klb6LpqO9HrLCnR1wLTjeGfu0NqkWTMx2oLmXb0T9uwC2d/HpQs/mBoM/AqMc0s36IMDZL7wOt3gw9y5gzu/wFXSWL0PF/KuultxA/W0c0V13Wrru/ICuq4XTwutHBwge3uYOPaeQgjR/fvLidx4DN/dg31vkDDnM+++/+IIbA6/+iOMtZh5TnT/HnpwAOcXaJ5jnEMWOeaXP0enV5A7zKOHMBphbo1RY9BXr+q8DgY+UKQNxrd191id5Gwrz21ob4CeltvkWzwTVwMMbw5CXAuI3RG4ueb+2xUQuyL/Wr3F70Z7JGG1XVpoSiMzUnukVQOBd1te+gWVn1XDdOE+LcvfTSVZ9RyqqF9jBb52TeldVGGgQlOVQVNmw8kAzujGDdDTVtQepvfoEWOQyTjEyKjQWAsiuBcvltdkGXzxzJMo6CTxx7+seN7mOe7iAuIIsY7kbO4NVLmDgYHMEs1ySK0PkKwgIZtIMvWPMb4MRg1R7NjzWsTZKM0ahREDRXJv/Ne5D6ZY3Ec+j5BEIVIkxIyJpiAqRFNwI1+HS/xlceoDNyaX/nc+CkY8q4xO/DaFwRQQQZ698tv8zs+RW4eQ5sSfP19tB63FnV1gbt/2hqC2oBJ5jjs+rSv/Vs9zaz39YFO8d8Ueqx7vHH+VjZesjBVdbpEBtRasOiUQwFqFyMdmcVpsQ/FnC5piHuHTCtvl8y0eoxQlBrUr2uKS92KnX2Ex1ApNqMunKCnOsvRKWlbmKuUut5gU1/utK4UEVML4s8qH6kpwyZUxqzbkyurzqcc5fOdj0/eup73HRhfaHRZaadYRXWdlBlhtENfxsTIa2YKPRYq7uMAdvUIXC9zzo3Zeu/goSNIMvZqhL1+9GR9rsJaPkuZ6Zd64lZuvi1Xt+H5dmreEm15iXzz3ARvFEN2/79vWo5cgIAf7mFu3/Op2gw/z4D7m8AA5OKgX+qHIbG1ZN0NPayvYbRtUG7cgzTaw7ZVuHNu4Sq71urv4WNeWRLcO/MQgpP6Vofd2q/GxN/Kjntz5wrKUMm115nMNxvv7fhIxm3s+osh7IgGcXYBTomLVfRD7OnLrV+UrvEYH+yCCLuaszC+7ZNaYTHbda1FHMtxivWPH9bQ2plw52UFbOdfck7xVXKE1NDU3+7Z6W36317HCKjTK3qr5rpXTfX1XSdpyH83rdJXD1VLX3LPLtxyQ77CeroMIYCIfwwTQq6v2cZtqPY6asrzvg8lym8rR6zrNw7u+jcgdpvBgSHzbF828q0T6cOQnYwYf5xOWHjpFMxkHjwpYzjjCZ5TXB7i1oI5K6Y0hSBlkESAK4bW0aKpiP7GVHL+dimWaYx368kdnWs5DC8+k6Nee+ra3GEdMr/wEblVZiW75rV46X7S3terb1C1Goy3X7raOLo0DFTT7pw4ad3peW7yqwh2fgCrR2WJVtYM3Yzz37YALAT6NhXgWqpR6kfG5BLehpfGpEK2z/phzgguZTmzQORt0cpbF3ttIhazIzENhQPYKG4nDaVDxQpdD2bkVVCGKfKQNYyhfGI1qG0/RBL89UJY3ke23eKkVi83OL+JJCBaMdvRFjefS+uzasENtaW/YqKA28NViFaJB05h0i1m+IG0DZ1WtHW9uD6haDq/NR2Vwdi0+NPBRdHCBj6aVciMfqm/HB+3yWMsHq3xsF4B0d17KjehohDZOJhvHN6d4akw4u+q+7oRzGz5KnVJkOPTbWVRhPvedx+FhbcJZ5VUmE8/UrBIj421ktkYXN9Gvq7sVN0RPa893m61zHVua1h2rPQvpoFmniy3XrDzfNj5W2qO2MpvXdF/fymtB0+CxOmx+o21+W8gsTm6+YaNAsz8q+5/q75BGt6BvMxZpSBkM1FIUlzQbUhcX/WuzXgRvHMOvsgl4A5oqMhosPTFnfqan1voBtviVPOOWaX3dwCAC5iJD8BMAZ11tgblIGJGH1e8oU5+q2N88AHnk79XFS6VeyVq1N0Yi4zObOFenGfgMB2pDSuc0Ra1D4qhVruUKZ2PFcH61YCO219P37j7dBhNJ4/dS5mIMGEHKAD2rNJ1bRQt6Y8JYUFfHbcEbaEU3Kbx2QCVkMZEVla/QLL8v+QiflauiDprKrZXjxeK64reKrlwnzWtcCx9BJ03YXqjWtfAari/k4lzn9tpqLI7iWJO2FTegLW0zBpWQNTTW+ow9Wbb0xi1Oz2bYBNIHI2xwLMIpWGXw7AJQ1ARtiKSkGb/2xikJau0ivLeQEZKXoZ1JQ8Nn8cYOa9BcwBlmVwmqMJsPgoEAVAWrhvPFkMxGvLjcQxVS5+cjCxuRO8PCJqRZjHWGq3mMOpidj3BOSM8H2DTG2Qh1eO92XTbAxd1HC4jnkFwo5Mrg1GdDSaaVLVLO+ThbZ1eQW9yXT1Fr0YvL9WPOohJZ81xar9udPr83bFTQNfBdd+y68TGaI97iGumi/6b5kA76N+JjM80742MdFN8YbvP3gQ5wqlhODLsnLW+yF1yaI4IWmmanvzUf6/RkmwnnugnakmhjHW8ksy0m6XVD3OZJeitukJ7W0442BisVl89W+ubJjmOtgfJWytE151aL3Y6P5v20/Ohmo3JO19DUmftaZNYou8DmrX3cGD2FigGhYbDwJ8NH1djeIdPayleTphlAu42PyiJDtX77/AVqLe7FkTdc5BZZ5CAGeXDPk/3wCzTLcV88wTpLPonJ97wX0fAnp6BKtj/AGp/+0qRKcqWMjxxYGJz7iYCKH2zbYYTGgsmU0cscscrkyH8mF9YPyhODRn5yaOZ5fXL8yWO/lWo+x51foFnmt2epEj1+iBqD3LsLUQRpij05RYPBZkUea2S2FtfT0zNV/adU9c+8QU1fI97kxm8KviX3vq2efuhoMeZuvCTQ2Fev0SdPW2lm9wyX39vHhR1AqLL3q6+JUofG4v8UbAQulmCQ9R47AmgCGkEeQT4AMzPIwgAmJB0wkEW4XLCZQXODtRHzRYLijcEiQu4iMmc4XYx4dnGb1CZc5T5Q0TQbYDXiMh1yvhgytzGnl3uoRpwd7eNsxOLlBDsbMLtImM9jb0Wehm1XwTOjGCpGl7D/pY9ndPfXciIL+1/MidKlAZ3UEl8sfFDmv/7LkGbYH/8EvZptWKwJn8qyvd40Rr1eW/re0cfYqKAzFkBFEdriQRQrHmvjUkjle7WOyqBIguH8vfLh3h0fbVG8vy4+1kNpTXnTjve+P2wjqoPtCur75tqFsk18jKo8O2NObNCBZZmbY060rV7W+EFX+bAOicKqnrTz0TqJWyuzrpgiWvm+hcw69LXm3dSKm6OntQCVHavT69ITr2Qnkcrksmgrwyq5Fs++MTEVqexRbdEPT1OPsbCiy1dXRIeHyHCEygVkmV/BjsKzFNB5hkyGPlCjKpIk9ccsgr2cEt0dIsMBNuiuWkVikNEQ5nNPMxr5/dxOkSRCk9hnvQgyc1dXRHt7mEFCXtUzWSOzijxqMmvRXRFYzDal/745egpslw1MlnPubdIKV+lrv6tFN/W1maq3KCDPsZ9/6b+nKYzHyGyBSQ1uNPJj8yyHv/Wr3oDx3bukD24Rny8YvpgjuSObO0SE2acTnBGSM0eU+ndjNPO85bnXH6OAgywRBrkymDrisBXh1g8XCGAPIj+RMDBY5F6Xp1nZLYgI3NpHX53ijk8wZ2dLGUcR8Xc/A8BmmY85c3bu40O0yXyNzNbjWnrao8d7ws3Q09U4O9fIONZaIKGPlfBHObcoHXTqK8LAsg5pHK96KKykal0xolXPVRkqPqXlWNs5XUtTxD+qLuhqyWq4n8aQu3p/JW+Nce2K7GnIvIV+PXZLR3uPjSqaz3abiXOl8127u67ooNeRtL2szTK24mMNvkE+1uLr5qNJZ912fzuAzq03tXn8Zpqt5LdO9ltc3+mZVuW1iyiKwBi/pzV0WAxCRP/jE9+4TyarRpOTE1DF7C0zBWwlsy14fRuZbdwydcP0FHhzWRQ0zTa4NFDVP2s0NM6taWc2rQq74xPUWZ8BajxCncW9fFVhAGSe+a0Ap2e46dSnr3z4AKII8/ixj6cxHHpX28xv/FbrsEcvvJ6G+DE6nUKWIVbhagEI8uu+W+NVr2bo5SXaTIlZNdx1eha0yGxFHt3nanXdND3dFazxhFpH00zV1/Y6SAdt27l1qf/Wvdtveu6NcAP0tGlsrxlhVwyT2k3T+F1rNtctCNRKbqPRZdvTSbOqqo3mHKASTLE418LHNjSNT6fd8iiPbyOzynh0K5mFYxsDh2+rpz16vC/sWFvaGzYCWldTteLGU/3eoCm/qna7/VTp17hsda3qXo8Panu6v3E+CpI2mmvzwZvxscKXbve3I9h4z22TuS3EVI99wXrZb8MHW+hiy7Ho3l2ix4/930eP0SzHvnrtVywBnc/Rly+xR0crfOj5BfbVK+zxcSOOwxa8vpHMGnVskNla3AA9rd1pYHUlRW7bPvCGiHxclVV6WK4w1OL1rEsr3MlHo82rfJbHQ2YdGY8xUYRmWe0ZCyBfvcB99QK9mmEMyGhE/NmnmNGQ5LNPMHt7uMtLr8NFvWnmX1NjMENvsLPTq1Cnj6cgo2GplMX92dfHaND768isXK3aVmbrcAP0tEDVA7DL002r/VqHh1lRRknfvL4432V4qsbg6JBd/uoY9/oYd3xC/sVXuKsQRTGKMJ99AnsT4r/7jOFf/SHRT16Q//hLVITByQJyR3TliFIHRtCBIR8a0pH3FBm/cpiFIz63RAtLnPlJq7lcMPzxa2SWkjw9RWYpgx+9Zvj8AuMgH8a4SLCTBJel6N/8FdzxKXrm93qbjx/Bb/hpAOwXX+FmM/LPvyQ/P4fZ7K1kthE7rqfa0K1i1Ru8voi1aJESejRersZ26SqVPkoEplee3hjYG4eL8PFRTi9AFRlES7Fnvi6bRIgRBicZTtV7+RQIDrma+09jK8aFgs76VLDW+ImQhMcgVRoXshE7f8zEy3JcHIwNaVCPsBNKooohQkJ5KRiFbF+Wi85BLvbRbcQI9vwSALM37pSZu7gEdZjRyGc3qjaVzXFoddy6jXrtsI4WWJctrowFpN00ZSr17zxGgfynP0EHMfGVIz5LkVwhdWB12cdNcyQPz8IqKpAO/elo5uVm5opYMKmPXaECMvPvgFz5/tJJUDIHmvlzeWZQVWZphFOYzSPy3GCtYZEaFDifD1GF6SLBOmGRRlgr2NyQzY1/bJECiiYWRJG5wJWBDMzU1xVdhc9LQXLPSj7w6bPj1yGX8k+e+vTeVylkFhXBDiL//jey8a31zG7R762z9u2InvZbUW4sOiwC31Z8IC/cu8KKe1mLC7URqa1W1H4H9VjvPmhQVhu8bdzcaq7bjXK6XOFqKRZHQzSOy3tz8wXMZ7VrWCxKC3GTjyJCfNWlexuZrfDRJrPGddX7K+tovH5rXS6ruAF62nYHXatgte8rE5sWmsbvbWiuy0cbTduxqnvtKm3V9XZ9XW3vQ0lTeZHeVmas4aPzmi7cAD0tUN0CstJttrWTbe92MStT1tPAyjNrpeni1Vrc+bmvQICXLwEwjx4icez/zmfI/HVoqyJ0f+TTcYYgoJormgguAjv2+7qjzLs8D0998ERzZTFWkdwSn0z9ua/OECB+dekDMk5zdARqBB3FIIL+4AufreDHXyGRQff34NG95cDbOdyzF/5eXx2HjBxvLrONuEF62uaVpU5xL18TffwYnKud6yzG+QxMbpGiixSevoRPH2Hu38NNv0Lu30WPT71RQRUnwuKjMZMnV0TTBfkgxt0aYeYZcaYMZo7FfkQ+gDgDswA3hmQBWdguGi+UfBjOjSC5ELLbSpQKYr0OmVRxQ0Ey0KHCTHATxagBpzhRjAME8jEMLvytOgdx7tvZbKRIBiQ+xoJGMDyDRYwPHporLoLkPCO7PfCxYL56RRSyvRDFmFsHPlNHQ2aymPttgUVWrGbz6hpBhq/1bG+QnhZotqdtUxJtfP/OY3h4D40M+v2P0PGQ4ZmSzM9ZfO8OkivJ+cwXFRviuUPEku1FRBbyiSEHUEuU+TpFIcopjVrpHcHMBGcUkxvUgBs7v0C1iFAUSQS1gkaONE9QJ8xmA4z4hSzrIElyrjK/IDHLE3IXcbUYoIBOE2xmMCgSATgfvFQc0Ssf4TQyCjMDzhEt/HsQXUAU4oSkB3D3b1wSnyzQ03N49hJEMHsHSGywtyfYQYT54rIu000ybxzfpt/xz2d3dLQ3bAR0TTqqe7e7VnOAbpqWQVLrSk04fyP4qNswTfkAACZNSURBVDRob89HRxXbyqOodIdeym3QGXekStMVH6N6XdOCXpQr3VbcMkaKro8Zcx1em8fyo1c+bVWe+7/btzGPHmGfPS8Lr5a7EvAwFFc17DjrYDAgun8f++LFcqWrem/byGxNTBHXsJzXaDbaGm+YnlZXWde94x33vDaLREnEW7Y1DV5bkB+9xOzvYw4P0NEInjzFfvkV5uED3NFL5N5dotu3iUYj3Okp2ZdPMXdu4169JvroMTIY+Hu8mlV49WW7L7+Chw/8BAOI9vf88dMz9PMv4Huf1uUReO1Sk3cqs07cHD1txlhZMWJo3ZDZZsQoPDXXxenYSNN8D3SVpv5ba7xK8PiRzK+gYwN9HC2zUyR+dVJiv9qokfeWctbV9nGrqs/UqUBmMcb4rCWhZhM8W1wxGSx4UyB4kIgRv6o9GZfbCf2xon/wcWqK39vIzESm1taOJkOYsgY3R09XUE5KQKdT7NNnMJutxHbxRNTe6+jRA9jbg9MzJMvQoxPMwQFmMISPHyOTCTKZoFFEhiV7NCbHMX56hVjFjQwuiTD39iBzyCwj/anIp6e8AuMgugJyn/FVB6A5xOqfZTQFkwujYwOZNzQQYikyBHGCTMPKdQpWHLIQYhuFNJxABHbgDSLDS5CZogaSsfGeIqn3FEkuFbOA8bElnirmypE4h8wdcpJiJCL6zqcQVaZCkz04v1wa41jqZ/70eZlBpYltYvV0PswbqKdlvIhgvGzr52vt6XAA9++CCPanP/KT+HiIMSk6iJFcEedIXvs2xu4PAchGghivCz7emuIG3hNRLN7tx/p2yw18kFFFMZnx49w4LMTlIZhASMCHKCa4Is0XCUU8DHVgpIjQIUxTn0/4qqDJhTz39Tsb+XuL8J8zgyC+vZ0FT8y5/4wvPavOgkSQXFgGrxagivnRE09buCHFxr/WWYY7qxvhagt6nROo4rnoqlG+64Id0tHesLEBtQaqazVnDU35cq9Zsd1qpWYbPtauKr0nPlbqePd8iJEQ3bgDSq2TuhHYZtWwecl1Vg2LyU9LnddeveyqY11jmue418cggiQJJo69R74xEAwSrXw0PpdBokDiyK9sRpGPe1Bd4XoLXtfq6xbvRImbqKddYlm3St6koYXmGrrYOthv0KyDqKJ5DlGM+PUgQH2WBwFxPlWlE0GzHIz4OBwUbR24kzP/bIuqSkOLL0eMwN4+JDFkKXp84gl+8Pl7kdla3AA9LZ1s2uTY1nc2zlXbFU/T7cW2DU1ZXm0lrd02t4nXtfQNmk7iyh7Q1V2pm4VWvaY809zixTYy6+4iTGw6zgTcAD2toq0vKo5psYVtW2/IKPL9YDhnMgtiMHvesGrGo9Ko74YG0mW9Ghn/YJLIbztRcH5uhwRxGxuaqeDhjwrGCQ6QsEUlygSn/npCO1logckL66znXxTEmjC1DKeioi6hcAg1mWBRTGimo8yXEc99hglfr68jWviLzN4EzZYDSDEmtKMNGaJ+kUUDbVvbuUGfW3ED9NQ0t+CWRg2WhkkjtYWilfHoIFm+72FbT2wVVbCRn8iTubBNXqHYRjmMUMV79Iipx2opUv2GS/LYe+HaalsVly1daKfUe+oW7TEgaryKhb5XRJFSAUIdRFjAWsEgOFleX3zGNmxPsT69sdOiHG+0UPwQ1ylEF5k3Qud56ZlsRn6fjTPeOM0s9TQ1/W0ZAzR01USCW2NUXsGO6WgfY6OAsrK/eOWBh0a2+ttUVxTKvYsVEvVKVEwWV/eKU++s3pSPaNlIvCs+VnKgt/FhWuShyxfGf2nwYcw75WMry7jqdn87gDL+SU2uWovvIJGsXNeMAWMaeta1atj8vULTcMWv8dGyZ19Vax3hCh+1ctTvHy9WVtuMGlVetf57uQ0Fn2Kw0KUs83xEm3mtltsWt6Dm/tsms21d/XyFN0JPN8rMrZEZdK6k134325qWd8IUK8ls0rMuPjyvUgStTTM/IajomRmPfR1pyC9XuTcZJL7cLC0DAa4MAvF1RJMxILhFVouV0SWz5v20ymzN+9sls+FksCKnFsHttJ6W4+ltvNgaMm2j2aY/0pY95yt1Vg6veI+1yHPFe6zJqrbwXhmftnnYNQ80+dhmi9fymuX0buWe1wRsbKVpXL85ew87r6c9viW4YToqzRk9rFpUuwysmwuv/9zimmpihy7ybarevl6p/P/mtTSp2xJUNI/VjdvSSlMteXNGlIAdakt7w0YFWz3fFf2QNSc3HW8/90Z8vEmL0HJuq9tZW8XmBmR9ue+Ijxp0pyL6bkRpL1qd2CxJ2oVWa8RaVtCq5Te+tv5uO9jKx7r3ZosOb+Wd2KYzk9Ufq+/W5gZ+3fvY2tG8Aa8eN0dP13WWy852Df0Wg562OlaexxZ6tp6PNl67q2iWI43ftQuuMUCrpoPrZqT7+iZfbWUXaBqSV3Fz9LQVK5P8yteuCXjleDfN5nLW8iGmU0n03Lsjy+EhYekbRbwBtzCopWFVLwvxgPJQhbAcCYZnZsUzrIM4MK4+aG4F0VXqzzkHC780Lvfv1Hk/PvfG6NGwXD1tk8HaoK0t9AA2W+emGZi4QXraZvx6o7hC1lLEAtIwGdEQIFmz3B/Pc/9MnIN55mnC86vYdP13p5gLb2SSIkhk5VwZ7LHgoxrAU5fE2iy8oFVvHlMJRMVuWRvoXKV86+8nmtni5oOOhvsEit0sxXPXsMih1tVk0yXDN4pvtBZb6mmPHu8Nu9WW9ltRCgila06BIhhQLShhy/76gqZ1f70UNKENbotJIP6aJU0HH5WV4fV8tDS8W/Khjm6aa8tjHR+BZgMfRZnr+BCRjVtRdIdyMK+FVFfZ1si+o4HZRvbVVdzWmBPV8al26wAoTlveiU28hvqXK9SBpuoZ0nwnWvmovC+qiHqdFCPllpbtZKbXk1nL++vdF789errN6nRVfbeJ3L0u6vobraQX4+w1E6xVPlpiAVTdPoMyVKPAi0hrhPhVr40PQ2ZZmrMWN0hPgeX72/x+XZqvkQ/Z28PcvY07elnGY6nSuNchTsJkjD6+j46GMBrA5ZT8cISxDjfwvvui4IySj32blizUbymY58TTDDdJMAsLaYZxii5SdL7AvT4m/t53QAS3N8BOhnBygVxcwtEp8jPfxxwc4l6fLNvDLMP94AvMrf3VFMVfN26anhYQb4z0E/D6Ka3qD1QsDEvkT19gbh/CfO7f/TzHfv4V5pOPcV89QR4/wr5+jdmbEJ0bRn9nxvy3/f24WxM4m5UGqnxgMJEw+ttfMfx3j3n23/1PMjwTFoeKM95cevhc0QjOvyMwB4l90M98AtElyABkDJqBjYEcMCHIaAzRDMzQkB9a8oElOjOYTNAYRi8hPYTkLFyTKmahWJPy4K+c8eIfvIeZG9Qow5MMQbDjmCwSkuM50dkMezAg/+HnmLt30NmVN5qMRysTtFqMnU6PrO7x+VrcQD3VZeeyPLairK0X1saXjZ+t121nI9bW75vYWVtmK3P10lp65HUXrZA0r9/KcFn5qSUfWxjqNvC0Szrae2wU6Hi2tQAsm2ja9LX6fnfpT3Wcu66ObXn9uvl4J/LYgqbgdwMfW3UiTrf7+9CxjkXZINdtaKrPdp2ebBBV26CrjWYtH4XBYjZHpyFKXBzXr9+ECq+a5biTU39dUU5FHp0r5t+QzIAbo6dvvTq9VSWb69iqA9+iHHvpg8nJcLC6cnxxAfjJZw2CT2cJyP7+ah1xfV0hPzsHdch41D2I0I7v22KLe803GTbgxugp1D1UVrxVwvtuKo1D29bI1TKbXjBVj53261r5CCTRg3s+1tBw0EoPlC+duX8Pc/c2HOzBr/sUjCHfH4CR0mPHRYId+eB5g7nPlpJcZhiFwSzH5A6TWqLpwhd9ckLN1Xh/hI4SWKRET14ii4z4eIoR8Vu1qvxdTuH5y69FZhtxg/S0NuHreHdLj6xqf9N07FL16Xhni0p7oLjnL/y3o5eIdT4zyKszzCJjdJyCCNmDvYrHmeByi/nJESa17D3JEbwnkIg3NEQLn24T9ZONuOjGp/63ZIVaKZr4FLDRTBAEk/lYBWT4FJ3iY28IwvDY39bwFMSBLJToCoxT7v7iJQJMnmdBrx3GKuSu7MLN1cLz+sULBMW9fo1ezdH5DD05bfHKk1W5N1WxMDS+iTrtuI6uBFnXYAQKn1RibZQkqvXt6ot0OW4ItHni451EufXnYrN8BsFjS2Y5Bh+01rkQ5Lj0DlKKnyI+O8oKq1mxJuHbQXGVOB1FMeLqj1uXC6sFPw7r9TbEyKjpQvjM45DGXVhZ+HXe0Q5nffYfdxCjWVjQC22pm839zyKY82i4EgRfi8W7qnG8ec8VmtoW13XYoba0N2wEdLqhFy+ebtGpttG0XdIkqdZxE/iorBZs5KNlsljno6OK68gDloOyHdgfthFdcm1Melpd5jdMjKrldsn1netilw5UBmb29THuScjjfQ0+pKGLenGB/eqJTxXbkIduK7MufWW9zLab4N8gPV0H6fj+NjRfFwTIcuzLV97lvyJ/2ZtgDg/99zj2mXzCVgCZ7MF4jLuc4k7PluUNBsjhAfLoYb2eRYp9dYyenG4eHL9vmd0gPV1r/NLNNNutolUbmvDRHAQmSTmAbbq763xB4S4PeLokqdex8DQ45/9U/cqzKpL5zzK+ilUk08pWAb/VQCt1a5ajaXDTL47Fkae5mkOWQ24ptzPM5zXe18XQ2Ca2SavMrqtTO66n9ckUtT6rKyZU9aIyHlcbTXHfRZlF3+qc9x6TUOlo6NOsAm5UN8aao2Ofjn08QHwuHdSHFWJ0oaCQ7UlIHeuDioI3RqiCDgNP8ZIlcf4GTHg0bhJ4yaDYNheFTBJFcFATsl5EU0s0D9up9vz7Mby04EBj4/vz3CF52IZyclZ6f1IscLCqEk25tnpttYwNtsYO62gXSu9rVe8J0yKbWjuwyODlMQDJsV8Q0P2hNwCktsx84sah3fvSZ8gbvU7R0J4lM2+8iq/8881H4THFgYWs6J59ulcAWYSAnoUKODALAwjOeqbFBZrw53dp+XNZGgy5zhtdJNLw6ggyD1PsCx+XK4q0UDPiIrBtyNZqMi+r0UmOLCzp2PjAuSJlimH3+rXX1zQEFE2iss8oURgr1uljhaatjWjFDrWl/VaUbzEkitrdQ0V8Dvpv2nX060Ix2Ouxk5CQbrCMemfM2z3PljSvHwRuiJ622lAbAX+LNJNAiGTuVgaLNRpTT/W4zHhSCZrcSAfZFu17hY+W6OArWQRC3TqbIemiVl507x4YU0Z8l8EAiQ3OKtH9eyCCOzv1k8Bwf2IM8b27OKflzqSibp1Ol/a8FV6rMvMR1a8js7L+a8psBTdETwvU0ui23btUxmttNI0JZ42+IGn8libNIEE+ekyUptinz5araIHGPn+BHOyjV1cgEH/8GI1j+OLLcpXMPj/CHB5g5B4sMsztPXSaESUGkznS/QQdxQjK6MQyPAUdGszc4SL8FpR5jubeMKI/+ZI8t5jxyNdx5xC9tQfnU/Rv/hpmb+RXwXP/7tpnL5Dbh8vYBbpZruUkfQuZrUwm2yaXzQJ2XE8lMlC5heo73ZV5o0ZjpEypW16jWhPdSttazb7kL1oRdZnhoqAzgkE9q2F1wBSrAhImTxUdkGXR5QEjgg28FefqOiBlu1fQmEIGxZxKw0q00yUfgVbL+2dpyAh3Vdva3CWzaru5SWaVYyYysM4J7gboaSu2WEirebkI8PQIOThAZhlmf4jkDnt/Qj6I0dQROYcmEe74Bbw+QR7cw+SO0VOBJEaB6O6A+FKZPYR8H2QGeQQu8UY3K4oOvIeQc85n10mNDyyUg3ECmSATbyTJ5wa7iIgixalgYks8UHJryDMhXcSodWRzn7lPrfiUwzaUk4O5jPznNMJcQZT6P0kgvvL3nkxh8vSKyRcz7MjgRsZ7K19eQhHfKLf++2AAz17DYr4a10Jb5NpmhCu+brvgtkM62hs2AjZG5e7qnKvoGvQ0aNrcgkq3+6+Tj0rd0f27MJlgv3paKmzhnlSkxHRPnq2MLrbi45qDwPXy6KjiOvKAD8aS+E6wpZ61DhQ3DAa3kes39U6ICObxI6+LV1fIwQHu9THm3l1vub6cbuZ1ky42ed00uG65bmuZbRqId1a4W2gV2ZrV2DcJxtYWZ+ZtV9K7Ytes384SrskyyuF2FEOeoosFMhqtrr6rommKRuu3Vb3zAHa6mWbrFfEboKcFNi5YFe3mBhqpTLK66/I0TfGZ+/d9LJarGWUa1Obju7j0K3iH+94QkuWrz2E08rwmUTGn9N4agCZ+iieZK1fQCavby5V0/9s9e4nkFlWHm175ye33Pg3nXvgbns6WM9NCt07PKze7XmSFV6GyXp065bqNCt4gPe1xg3ED9HTd4sWmRYPq9+hqAWKIU4uKoJMhGguSOeJccSK441MATxvHJJc5Oja4SDBTb2DLDnwD5Ebe0OUG4Cb4dmnoB2ManD9MHnmDmULkDM4oxigqQr4IRM5QdAZxDFaFNJzL5gP/CO0yTXDkIhyKufT9fHwZo85vh4kXvqjBzLdtg+C1sf8sJbq0JJfWe0IBelZpUwFxPlmtLDLk+IyauSGMMdcuCrUsXhhj1sd/g53S0d6wUaBr0rHJ/QyWbuZv0jmztEyXA6xNfHTVsYmPMPhiPEQmE0q31UodcnCADAZoY2XyWnxsGuBtGgQWcpYl/To+NrtS6co+tJ3FhsnxNnLdqGdrjE61OtaxuRUf694JQQ4PkeEAEMyBd/GP7t0FETTP653k1/RuXkdmAj7iesf9bMYN1dMu42U4VwvA2kXzDoyoravCrpt+Ex8yHoEY1ObkT54icUL08WN0PIavnmCfv4Bbh36VpcpHlpI/eYbcOrgmr1WDxPV4XZFLF436d2b9IGf39bQME/AmXj3aMkCvetM0vGC2oTGJdzVGXcWbRmqBiMtVcvFu0motYqLas4gGSdCb5er2soBiJd1QxHAxpk5TrM0ba8tAsybye87LTD/WLnVTK3LpklloX9fLTFaCLjePN2U2ORzD2colFey+nvb4NqDX0x4fOnZLR/sYGwXUd6JVlPv8K38rAb8iU7qgNQN+1WjC5MpEjcBjpWscpWfcRj7YxEcxauvgQ4zno6iYpXGgGGCpdau8bsuHbslHhzwoxm6lPNbzsXGVUdmpwDdrUdHB5mR5nVyLaz0Na2VfdWNrC+hWGgreVAd0A69hsmsGcXmhiYt3K/x2ywlA17tZdQ8V2UZmLcaHcHwbma17f6v71Dtx0/RUZDVGSYFtDMYhVsU6iHRfX/JRBMlaI7ayrlY+2q8xDx6ACO7Vsa9nNAQEcXZpMC5WW3RZR5kx5exildcgs1ZepfK5jcw6+C5l1oVvk57uOtY9xw168GHha2DyBuiprsl81O0duEV2pcqxjdmVdLVJKAMfVjx2yvCKgbiWbarLE7k4rHX65rmy3gb/bcE8m1mnqrdTeE6uxnzZJiPV8ninzGT1WFe2tSUhO62jJRod5Zt6Q5bPQisPUCt/gIZxWGsK4uI6W6lTQ3mFHItHUla11Jly0a58bEU5lO+CNlisMxD+XMe54qPCTxnzRZb3UMqhKdcw9m0dUxblv6Un6yoBO9WW9oaNCrbytGnS1C7SLWiaxa12NG/LR+fl1YKbyl59ed8G1+WjeaqNj3fhAqVuu79dQKlmK0rQ8b16eB3Nqv6uq6GbaBsd6DqxHf2ba0T3HXWVuV792jqJ6/JUvfhm6GlhMFJdY7ysGtBajJfbGdD8+bXGvsLg22JAg7qxrsvwDEs+CmOdBEO2EAIzFpHzrfN741vkUaujw+C7VmYbDL41mekGmXUY+0Z7IzZix/W0HMdWJyTNiVGAT/dMbULUHAj6dNSEaPft971Mg7062XFZsRfElM+s6cFQpNqW0oJqlsFEA2yalTdY1lEUU0y01JVj5WVk/vp9OSMVPhzVBQQ10bLCNTIrZNrMHlCVR0HTLTMtjXVNmV2dz1qvqWHX9bTyXarebbRPRmrtVaCpvd/G+LZJqRklmm3RMluFwNWsDCxabGtC/cY7d/8Wah3RdIGEmGzxzJ9b7AsYSC41ePyw1DNCBorU12/yCkuVSaYAZubjjEi0nDhpCPxoo/DOxf4yN4nRsLCQnKcIkE68H5JJc/++xGZ575PJZpkV8mgOnZoyq3oOX9dOt8M6CkBkMN/9Tu1Qm7GniRVDXW6xP/4CzXPM8RUyz4iPLhi8viK+XCCvp9ihYf57fiP2YMzZf+IBi7tDZOA3H2hsykdw/5dyzEwhB1HYf6kcfKGYFAavQDIYvTBIWn1s4r1uM0E+H/tYGUEnNQVyQWYxi1dDbGrgKkYtcOnjqJhLQzQ3DC4Ng5e+jvgKsBCdg0nDezyE4Zlj/4uM6CLj4S+8JD7LmD3aJ7s/Ro9eYp88gyjGfOezmnEjf/4SPT6G2Wyl/S9lWW0nurZgV/u8bQatO9SW9oaNArKqAGW05CpNw0LsKjTFwKNWrEjt+Ir1VhuN5jvgo20/f42PLMdaVw7Mq3y4eQqqmDjG5S1phJp8uLfgY0t5NFNJNfnYlJlDwzXb/L1riMieiPwbIvK/F5H/6rsos811X6QyCGR1UBx4WcpeVmm0ORH6WnXRrdcBEexsUQ5yCppldP5kmdKqsRJe5b2Wpk2oDWCaMtMOmWlNZo2Vmuu8vxsGOzdNT28EdmK1+5vFjdDTOKr/3sBqYUvoZgyK1bx1KlNmJWkQuVev/IRqMuqeEIQ63Pk55NYHqj3Yr5HoyYlf6ZvNYZHWbmDwauoZLIx9zmEWId/m01feGHJ65iettw6WfBjfcMqZ3wgu3/u4Um6Ft5WbZSuZsY3MWiaS34b2VGrpzYsvq/qzpNHSwNY2aZFHD1DA3LmFGQ0rFzbKQTCHB8hk7I0JX/h4a9HC+vHhwkKaY2YLGCaoCHHmK5w895ly0kNwEUQOxifeYJuEWALRlb8f4/ykEwQz88fic89PfOHnSclMSKYCFpJT/5INT71OaBRYjwUJxo307sQfM17Pk+M5mmaYiyuip6/CMw/9eJpulBlUxjFVuTdlFow3nV6KHdhWT9813mWfL3Hs0zwnlegGhayq7cBW77CPQSWAmS6QzGLOF0Rnc3CQHQ4gMsz/M78eYsPi0WSZ0WmwnNOIwuAspFdNlWgK0QzikEZ4cBbSCs9Drp3ApyqY1CAq6DQOxmRABXJBU0GtYC+8hybTGEGQWQhAuhDiU0EUkqkvO7n0ZZhgRHGqjF87jIPbv3yBKEyeLCA2pGPBXVyi8zkSmSDXSgYsZ3265ulVy4OoibHjYW3xXFaeyG61pb1hA7p7CRoNXPOZaYVG2mlq7vJdnZFbU8fXwIdmqX8x8nqoZnUhKv90ut4S+C74gHcmj40vU+E79o6sjSLyJ0XkSER+qXH8d4nIr4rID0TkfxIO/17gT6vqfwv4h7aqoLNi1si1ONw9StzGKru17Dv4eCMdMAbiGFNJf6mq6OUlejVF53Psq1donmOfv/B6ay1qIsytQx/roEAU+XK24qOFpu1eG/e2QrOtzDaJ/6boKZXVWNqMQcE4VRmgr9AULprVwebKqvByxXfTSnrrqnAgXWdorU4ym6vcyzr9iXIlXcxaXks+GvqwlczcZpmt9z7YLLP5VUd8pSUzO6+nEkWljN4kbXT9JLVnWdXrlesrNDWkGfr8BfbZ0ZKnlra1OG5PTv0k6vatOkmW454+wz55jnvyAgkjdbmcY87nRHMLqcNczklenGO+ekX0Sz9EfvAl8ks/hB98Cb/2E/SHXy7vzUSYxw8x+O2rMhphDvaW99bGKywN4F1yvabMVsZQ34b2VNqH6IX+tMosTM6ak5bos08xe3sk3/kMuXsXnUw69T1+eA95cN97NMQGzi79s1eIpxkmdcS/9gTziz/E3p6Q/da/D3HC+FVOkgKJ4AbC/MDzMnit7L1UohwGZ0ocVsKdAMHJKJrB+AiiXBge+6wRgynIHIZPDIc/jEkuhVs/UuLg6YGADsAZb38ZTRU3Sbj66dvoMObgB2cMX86Rz5+jv/oTzOcvGT05RxTyz7/wxr81Mls+hqDj2vlIgsccqwtEm7Ctnm6B99Xni/iYP2SVOUXzfW0z+LTJW0HGY3+4kDlgENzAlEGQ3e0xKsJwakEETcyKp02+7z04BjOvu3boy1QFE1K5upAS1oT0rRKMbcoyuCjWlPwIxXMOdVlvVDGBJko9r6qF0Q5M0PFCd4YXwYMpd8Tn/qTbH4BC8vkR4NtZwBvh0qqRupBXSwOo9c/W2G6N57KVIW7H2tLesAGIMWvjY7R9h6XSVBWjNR5EAW051qzjG+JDp1Pc8xe1EVZxjX19gr589eZ8FO7S6/iodCLr5VGMPrfnow1q7VZ/W+L/CPyu6gERiYA/Bvxu4GeBf1REfhb4FAijxI1xh9dCxHTKrM0K2zlQrHbgzToq5XYO8isD2bUd+La8JgnxJx9hQmdWvca+fI07OkKnV7gnT2GxwH71BBYL4vt3MbfvIOOJ9z6KIqJPPvblFNsEKu9EJx9VXtfJrO06riGzLXAT9HR5M0Wla0g20OgauZd1bOyUKQdHa2nW8FEOfCs0OvceRWbP6627uIQ8R5K4DNT4Rryu44PNMtu4QraJj008ckP0tGUrzspAUFaPr7iptwwe19I0DSoF0rSMzVLSr7RHhVWrWB2W1fvIMr91wJVRD5Dc+smBC1sAnCK585/nU3/s+NzTX83KlNhF+dW2GUAqHi+dMjNrZNbyfmwlszWLUG3YeT0VVp9vbVKyvS7KcICIIIMEMcb/delZHK/SFOcK22hu/fYTEdgbef3KizopZqNl8cU54+o0BakgmNzXZUK8ZaMS9FWIMv89Shssy7IQo/63G3nPgWgRVuyt9V5Oqpi88NbINsqs7ffGd7OjzHXYaR0l3G/FOilNnaUytymu2WZuVPvtO/GKT0aoo3KkKfciYHKgVSGkIa7y3rgZXaUpry9YFa+v/mu9DrR6jtpnWW5RR8WgW26nDVtnEVmJcdc2f1qJg9cSK64pl+qzELOdGWCX2lLZOr3bDYaIXAC/+r756PHGuA/sqeqDtpMi8ucCzTYYAfPK7z+hqn+ipczvAf+2qv794fc/APy8qv7O8Pt/Gki/Ak5U9d8WkT+lqr9/Sz5W0OvpzqPX0x67gBuvp72O7jzuA6+A7/Z62uMDxrvU0w9SR0OZvZ7uNm5Un9+ne/X4VVX9uffNRI83g4j8NVX9Xtd5Vf1dXefeIT5haVUE/zL+p4H/HfCvish/Hvgzb1lHr6c7jF5Pe+wCviV62uvoDiPo6Nrn1+tpj/eND0RP+z6/x1rctD6/N2z06PFu0Ooor6pT4J/8ppnp0aMDvZ722AX0etpjF9DraY8PHb2O9tgFvDM97WNs9OjxbvAV8Fnl96fA0/fES48eXej1tMcuoNfTHruAXk97fOjodbTHLuCd6Wlv2PBY2f/TY6fwITy/vwr8ehH5KREZAL8f+H+94zo+hPvs8eb4EJ5fr6c9NuFDeH5ft55+CPfY483xoTy/Xk97rMOH8Pz6Pr/HJnwIz++d6WkfPLRHj2tCRP6vwG/DB9N5AfxhVf3XReT3AP9bIAL+pKr+L98bkz2+9ej1tMcuoNfTHruAXk97fOjodbTHLuDr1tPesNGjR48ePXr06NGjR48ePXr02Fn0W1F69OjRo0ePHj169OjRo0ePHjuLb61hQ0R+VkT+oohcichTEfkjIhK9b756bIaI/BMioi1/f/B98/au0evp7qLX015PdwG9nvZ6ugvo9bTX013At0VPex3dbdxkPf1WpnsVkTvAXwD+DvAPAz8N/G/whp5/7j2y1uN6+O3ArPL7R++Lka8DvZ7eGPR62mMX0Otpj11Ar6c9dgE3Vk97Hb1RuHF6+q00bAB/EBgDv1dVz4F/R0QOgZ8XkX8xHOvx4eOvqurl+2bia0SvpzcDvZ722AX0etpjF9DraY9dwE3W015Hbw5unJ5+W7ei/G7gzzdevj+Ff1F/6/thqUePFfR62mMX0Otpj11Ar6c9dgG9nvb40NHraI8PFt9Ww8ZvAH6lekBVvwCuwrkeu4EfikguIr8qIv/t983M14BeT28Gej3tsQvo9bTHLqDX0x67gJusp72O3hzcOD39tm5FuQOcthw/Ced6fNh4BvzzwH+Az3f8jwJ/XEQmqvovv1fO3i16Pd1t9Hra6+kuoNfTXk93Ab2e9nq6C/g26Gmvo7uPG6un31bDBoC2HJOO4z0+IKjqnwf+fOXQnxWRIfDPici/oqruPbH2daDX0x1Fr6e9nu4Cej3t9XQX0Otpr6e7gG+RnvY6usO4yXr6bd2KcgLcbjl+i3YrZI8PH38auAt87z3z8S7R6+nNQ6+nPXYBvZ722AX0etpjF3DT9LTX0ZuJG6Gn31bDxq/Q2AcmIp8BezT2jfXYOdwka3GvpzcXvZ722AX0etpjF9DraY9dwE3R015HbzZ2Wk+/rYaNPwv8ThE5qBz7ffhcvr/wfljq8Zb4LwKvgM/fNyPvEL2e3jz0etpjF9DraY9dQK+nPXYBN01Pex29mbgRevptjbHxx4E/BPxbIvJHge8DPw/8S33+5Q8fIvJ/xwe8+Zv4oDe/L/z9oV3eF9aCXk93GL2e9nq6C+j1tNfTXUCvp72e7gK+JXra6+iO4ybr6bfSsKGqJyLyO4B/Ffgz+D1h/zL+xezx4eNXgf8G8Bk+WNHfAf7rqvp/eq9cvWP0errz6PW0xy6g19Meu4BeT3vsAm68nvY6eiNwY/VUVHd6K02PHj169OjRo0ePHj169OjR41uMb2uMjR49evTo0aNHjx49evTo0aPHDUBv2OjRo0ePHj169OjRo0ePHj167Cx6w0aPHj169OjRo0ePHj169OjRY2fRGzZ69OjRo0ePHj169OjRo0ePHjuL3rDRo0ePHj169OjRo0ePHj169NhZ9IaNHj169OjRo0ePHj169OjRo8fOojds9OjRo0ePHj169OjRo0ePHj12Fr1ho0ePHj169OjRo0ePHj169Oixs/j/A5GY0f7rvJvvAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x288 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "ele='H'\n",
    "\n",
    "neb=np.loadtxt(ele+'-neb-coordN')\n",
    "data=np.loadtxt(ele+'-800-coordN')\n",
    "x=data[:,0]\n",
    "y=data[:,1]\n",
    "xmin = 0\n",
    "xmax = x.max()\n",
    "ymin = y.min()\n",
    "ymax = y.max()\n",
    "\n",
    "fig, axs = plt.subplots(ncols=6, sharey=True, figsize=(16, 4))\n",
    "fig.subplots_adjust(hspace=0.5, left=0.07, right=0.93)\n",
    "\n",
    "T=[600,800,1000,1200,1400,1600]\n",
    "\n",
    "for i in range(6):\n",
    "    filename=ele+'-'+str(T[i])+\"-coordN\"\n",
    "    \n",
    "    data=np.loadtxt(filename)\n",
    "    box=[[xmin,ymin],[xmax,ymax]]\n",
    "    data=np.append(data,box,axis=0)\n",
    "    x=data[:,0]\n",
    "    y=data[:,1]\n",
    "    \n",
    "    ax = axs[i]\n",
    "    hb = ax.hexbin(x, y, gridsize=50, bins='log', cmap='viridis')\n",
    "    ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))\n",
    "    ax.set_title(str(T[i])+\" K\",fontsize=16)\n",
    "    if(i==0):\n",
    "        ax.set_ylabel(\"Weighted Height ($\\AA$)\",fontsize=16)\n",
    "    cb = fig.colorbar(hb, ax=ax)\n",
    "    ax.plot(neb[:,0],neb[:,1],'k-',linewidth=1,linestyle='dotted')\n",
    "    ax.plot(neb[0,0],neb[0,1],'ro',ms=4)\n",
    "    ax.plot(neb[8,0],neb[8,1],'bo',ms=4)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=15)\n",
    "    #cb.set_label('log10(N)')\n",
    "plt.savefig(\"b.jpg\",dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "ele='CH'\n",
    "\n",
    "neb=np.loadtxt(ele+'-neb-coordN')\n",
    "data=np.loadtxt(ele+'-800-coordN')\n",
    "x=data[:,0]\n",
    "y=data[:,1]\n",
    "xmin = x.min()\n",
    "xmax = x.max()\n",
    "ymin = y.min()\n",
    "ymax = y.max()\n",
    "\n",
    "fig, axs = plt.subplots(ncols=6, sharey=True, figsize=(16, 4))\n",
    "fig.subplots_adjust(hspace=0.5, left=0.07, right=0.93)\n",
    "\n",
    "T=[600,800,1000,1200,1400,1600]\n",
    "\n",
    "for i in range(6):\n",
    "    filename=ele+'-'+str(T[i])+\"-coordN\"\n",
    "    \n",
    "    data=np.loadtxt(filename)\n",
    "    box=[[xmin,ymin,0,0],[xmax,ymax,0,0]]\n",
    "    data=np.append(data,box,axis=0)\n",
    "    x=data[:,0]\n",
    "    y=data[:,1]\n",
    "    \n",
    "    ax = axs[i]\n",
    "    hb = ax.hexbin(x, y, gridsize=50, bins='log', cmap='viridis')\n",
    "    ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))\n",
    "    ax.set_title(str(T[i])+\" K\",fontsize=16)\n",
    "    #cb = fig.colorbar(hb, ax=ax)\n",
    "    #ax.plot(neb[:,0],neb[:,1],'w-')\n",
    "    ax.plot(neb[:,0],neb[:,1],'k-',linewidth=1,linestyle='dotted')\n",
    "    ax.plot(neb[0,0],neb[0,1],'ro',ms=4)\n",
    "    ax.plot(neb[8,0],neb[8,1],'bo',ms=4)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=15)\n",
    "    #cb.set_label('log10(N)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.stats import gaussian_kde\n",
    "\n",
    "ele='CH'\n",
    "\n",
    "neb=np.loadtxt(ele+'-neb-coordN')\n",
    "data=np.loadtxt(ele+'-800-coordN')\n",
    "x=data[:,0]\n",
    "y=data[:,1]\n",
    "xmin = x.min()\n",
    "xmax = x.max()\n",
    "ymin = y.min()\n",
    "ymax = y.max()\n",
    "\n",
    "xgrid = np.linspace(xmin, xmax, 100)\n",
    "ygrid = np.linspace(ymin, ymax, 100)\n",
    "Xgrid, Ygrid = np.meshgrid(xgrid, ygrid)\n",
    "\n",
    "fig, axs = plt.subplots(ncols=6, sharey=True, figsize=(16, 4))\n",
    "fig.subplots_adjust(hspace=0.5, left=0.07, right=0.93)\n",
    "\n",
    "T=[600,800,1000,1200,1400,1600]\n",
    "\n",
    "for i in range(6):\n",
    "    filename=ele+'-'+str(T[i])+\"-coordN\"\n",
    "    \n",
    "    data=np.loadtxt(filename)\n",
    "    box=[[xmin,ymin,0,0],[xmax,ymax,0,0]]\n",
    "    data=np.append(data,box,axis=0)\n",
    "    x=data[:,0]\n",
    "    y=data[:,1]\n",
    "    kde=gaussian_kde(np.vstack([x,y]))\n",
    "    Z = kde.evaluate(np.vstack([Xgrid.ravel(), Ygrid.ravel()]))\n",
    "    \n",
    "    ax = axs[i]\n",
    "    #hb = ax.hexbin(x, y, gridsize=50, bins='log', cmap='viridis')\n",
    "    ax.imshow(Z.reshape(Xgrid.shape),\n",
    "           origin='lower', aspect='auto',\n",
    "           extent=[xmin,xmax,ymin,ymax],\n",
    "           cmap='viridis')\n",
    "    #ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))\n",
    "    ax.set_title(str(T[i])+\" K\",fontsize=16)\n",
    "    #cb = fig.colorbar(hb, ax=ax)\n",
    "    #ax.plot(neb[:,0],neb[:,1],'w-')\n",
    "    ax.plot(neb[:,0],neb[:,1],'k-',linewidth=1,linestyle='dotted')\n",
    "    ax.plot(neb[0,0],neb[0,1],'ro',ms=4)\n",
    "    ax.plot(neb[8,0],neb[8,1],'bo',ms=4)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=15)\n",
    "    #cb.set_label('log10(N)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LogNorm\n",
    "from scipy.stats import gaussian_kde\n",
    "\n",
    "ele='CH'\n",
    "\n",
    "neb=np.loadtxt(ele+'-neb-coordN')\n",
    "data=np.loadtxt(ele+'-800-coordN')\n",
    "x=data[:,0]\n",
    "y=data[:,1]\n",
    "xmin = x.min()\n",
    "xmax = x.max()\n",
    "ymin = y.min()\n",
    "ymax = y.max()\n",
    "\n",
    "xgrid = np.linspace(xmin, xmax, 100)\n",
    "ygrid = np.linspace(ymin, ymax, 100)\n",
    "Xgrid, Ygrid = np.meshgrid(xgrid, ygrid)\n",
    "\n",
    "fig, axs = plt.subplots(ncols=6, sharey=True, figsize=(16, 4))\n",
    "fig.subplots_adjust(hspace=0.5, left=0.07, right=0.93)\n",
    "\n",
    "T=[600,800,1000,1200,1400,1600]\n",
    "\n",
    "for i in range(6):\n",
    "    filename=ele+'-'+str(T[i])+\"-coordN\"\n",
    "    \n",
    "    data=np.loadtxt(filename)\n",
    "    box=[[xmin,ymin,0,0],[xmax,ymax,0,0]]\n",
    "    data=np.append(data,box,axis=0)\n",
    "    x=data[:,0]\n",
    "    y=data[:,1]\n",
    "    kde=gaussian_kde(np.vstack([x,y]))\n",
    "    Z = kde.evaluate(np.vstack([Xgrid.ravel(), Ygrid.ravel()]))\n",
    "    \n",
    "    ax = axs[i]\n",
    "    #hb = ax.hexbin(x, y, gridsize=50, bins='log', cmap='viridis')\n",
    "    ax.imshow(Z.reshape(Xgrid.shape),\n",
    "           origin='lower', aspect='auto', \n",
    "           extent=[xmin,xmax,ymin,ymax],\n",
    "           cmap='viridis')\n",
    "    #ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))\n",
    "    ax.set_title(str(T[i])+\" K\",fontsize=16)\n",
    "    #cb = fig.colorbar(hb, ax=ax)\n",
    "    #ax.plot(neb[:,0],neb[:,1],'w-')\n",
    "    ax.plot(neb[:,0],neb[:,1],'k-',linewidth=1,linestyle='dotted')\n",
    "    ax.plot(neb[0,0],neb[0,1],'ro',ms=4)\n",
    "    ax.plot(neb[8,0],neb[8,1],'bo',ms=4)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=15)\n",
    "    #cb.set_label('log10(N)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 271,
       "width": 1040
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "ele='C2'\n",
    "\n",
    "neb=np.loadtxt(ele+'-neb-coordN')\n",
    "data=np.loadtxt(ele+'-800-coordN')\n",
    "x=data[:,0]\n",
    "y=data[:,1]\n",
    "xmin = x.min()\n",
    "xmax = x.max()\n",
    "ymin = y.min()\n",
    "ymax = y.max()\n",
    "\n",
    "fig, axs = plt.subplots(ncols=6, sharey=True, figsize=(16, 4))\n",
    "fig.subplots_adjust(hspace=0.5, left=0.07, right=0.93)\n",
    "\n",
    "T=[600,800,1000,1200,1400,1600]\n",
    "\n",
    "for i in range(6):\n",
    "    filename=ele+'-'+str(T[i])+\"-coordN\"\n",
    "    \n",
    "    data=np.loadtxt(filename)\n",
    "    box=[[xmin,ymin,0,0],[xmax,ymax,0,0]]\n",
    "    data=np.append(data,box,axis=0)\n",
    "    x=data[:,0]\n",
    "    y=data[:,1]\n",
    "    \n",
    "    ax = axs[i]\n",
    "    hb = ax.hexbin(x, y, gridsize=50, bins='log', cmap='viridis')\n",
    "    ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))\n",
    "    ax.set_title(str(T[i])+\" K\",fontsize=16)\n",
    "    #cb = fig.colorbar(hb, ax=ax)\n",
    "    #ax.plot(neb[:,0],neb[:,1],'w-')\n",
    "    ax.plot(neb[:,0],neb[:,1],'k-',linewidth=1,linestyle='dotted')\n",
    "    ax.plot(neb[0,0],neb[0,1],'ro',ms=4)\n",
    "    ax.plot(neb[8,0],neb[8,1],'bo',ms=4)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=15)\n",
    "    #cb.set_label('log10(N)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 271,
       "width": 1058
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "ele='C'\n",
    "\n",
    "neb=np.loadtxt(ele+'-neb-coordN')\n",
    "data=np.loadtxt(ele+'-1000-coordN')\n",
    "x=data[:,0]\n",
    "y=data[:,1]\n",
    "xmin = x.min()\n",
    "xmax = x.max()\n",
    "ymin = y.min()\n",
    "ymax = y.max()\n",
    "\n",
    "fig, axs = plt.subplots(ncols=6, sharey=True, figsize=(16, 4))\n",
    "fig.subplots_adjust(hspace=0.5, left=0.07, right=0.93)\n",
    "\n",
    "T=[800,900,1000,1200,1400,1600]\n",
    "\n",
    "for i in range(6):\n",
    "    filename=ele+'-'+str(T[i])+\"-coordN\"\n",
    "    \n",
    "    data=np.loadtxt(filename)\n",
    "    x=data[:,0]\n",
    "    y=data[:,1]\n",
    "    \n",
    "    ax = axs[i]\n",
    "    hb = ax.hexbin(x, y, gridsize=50, bins='log', cmap='viridis')\n",
    "    ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))\n",
    "    ax.set_title(str(T[i])+\" K\",fontsize=16)\n",
    "    #cb = fig.colorbar(hb, ax=ax)\n",
    "    ax.plot(neb[:,0],neb[:,1],'w-')\n",
    "    ax.plot(neb[0,0],neb[0,1],'ro',ms=4)\n",
    "    ax.plot(neb[8,0],neb[8,1],'bo',ms=4)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=15)\n",
    "    #cb.set_label('log10(N)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 24 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 1160,
       "width": 1160
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "eles=['C','H','CHs','C2']\n",
    "\n",
    "fig, axs = plt.subplots(ncols=6,nrows=4, sharey='row', figsize=(16, 16),constrained_layout=True)\n",
    "#fig.subplots_adjust(hspace=0.5, left=0.07, right=0.93)\n",
    "#fig.subplots_adjust(bottom=0.07,top=0.93, left=0.07, right=0.93)\n",
    "\n",
    "ind=0\n",
    "for ele in eles:\n",
    "    ind=ind+1\n",
    "    neb=np.loadtxt(ele+'-neb-coordN')\n",
    "    data=np.loadtxt(ele+'-800-coordN')\n",
    "    x=data[:,0]\n",
    "    y=data[:,1]\n",
    "    xmin = x.min()\n",
    "    xmax = x.max()\n",
    "    ymin = y.min()\n",
    "    ymax = y.max()\n",
    "\n",
    "    T=[600,800,1000,1200,1400,1600]\n",
    "\n",
    "    for i in range(6):\n",
    "        filename=ele+'-'+str(T[i])+\"-coordN\"\n",
    "\n",
    "        data=np.loadtxt(filename)\n",
    "        if(ele=='C' or ele=='H'):\n",
    "            box=[[xmin,ymin],[xmax,ymax]]\n",
    "        else:\n",
    "            box=[[xmin,ymin,0,0],[xmax,ymax,0,0]]\n",
    "        data=np.append(data,box,axis=0)\n",
    "        x=data[:,0]\n",
    "        y=data[:,1]\n",
    "\n",
    "        ax = axs[ind-1,i]\n",
    "        hb = ax.hexbin(x, y, gridsize=50, bins='log', cmap='viridis')\n",
    "        ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax))\n",
    "        ax.set_title(str(T[i])+\" K\",fontsize=16)\n",
    "        if(i==0):\n",
    "            ax.set_ylabel(\"Weighted Height ($\\AA$)\",fontsize=16)\n",
    "        #cb = fig.colorbar(hb, ax=ax)\n",
    "        #ax.plot(neb[:,0],neb[:,1],'w-')\n",
    "        ax.plot(neb[:,0],neb[:,1],'k-',linewidth=1,linestyle='dotted')\n",
    "        ax.plot(neb[0,0],neb[0,1],'ro',ms=4)\n",
    "        ax.plot(neb[8,0],neb[8,1],'bo',ms=4)\n",
    "        ax.tick_params(axis='both', which='major', labelsize=15)\n",
    "        #cb.set_label('log10(N)')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}