Bokeh-1-Intro.ipynb

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    "# Bokeh basics\n",
    "\n",
    "We will introduce to basic concepts here\n",
    "\n",
    "## Output\n",
    "\n",
    "Located in `bokeh.plotting` or `bokeh.io`, in this pres we will use `output_file(filename)` or `output_notebook()`\n",
    "\n",
    "\n",
    "## Glyphs\n",
    "\n",
    "Symbols that can be put on a plot\n",
    "\n",
    "Located in [bokeh.plotting](http://bokeh.pydata.org/en/latest/docs/reference/plotting.html) library\n",
    "\n",
    "## Basic process \n",
    "\n",
    "\n",
    "1. Specify output\n",
    "2. build a figure\n",
    "3. Put glyphs on it by calling `figure.glyph(<data>, <params>)`\n",
    "4. Run show function"
   ]
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  {
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     "data": {
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       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"46febc83-d156-4878-9006-f0f543480253\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
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       "\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 !== undefined) {\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 import _state; print(_state.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 element_id = msg.content.text.trim();\n",
       "            Bokeh.index[element_id].model.document.clear();\n",
       "            delete Bokeh.index[element_id];\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"from bokeh import io; io._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",
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       "\n",
       "    var toinsert = output_area.element.find(`.${CLASS_NAME.split(' ')[0]}`);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[0].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[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\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[0]);\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",
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       "      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(\"46febc83-d156-4878-9006-f0f543480253\");\n",
       "    if (el != null) {\n",
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       "      if (el != null) {\n",
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       "    } 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) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        root._bokeh_is_loading--;\n",
       "        if (root._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"46febc83-d156-4878-9006-f0f543480253\");\n",
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       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '46febc83-d156-4878-9006-f0f543480253' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \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",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
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       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
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       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"46febc83-d156-4878-9006-f0f543480253\")).parents('.cell').data().cell;\n",
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       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
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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(\"46febc83-d156-4878-9006-f0f543480253\");\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) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"46febc83-d156-4878-9006-f0f543480253\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '46febc83-d156-4878-9006-f0f543480253' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \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      }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(\"46febc83-d156-4878-9006-f0f543480253\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
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     "data": {
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       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"2166765a-281b-4890-939f-bee18df0d8ba\"></div>\n",
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       "  function embed_document(root) {\n",
       "    var docs_json = {\"4217bab5-78b4-4d5f-9b21-f1bafb8c3abd\":{\"roots\":{\"references\":[{\"attributes\":{\"callback\":null},\"id\":\"d187d31c-0104-45b5-b15e-00aa4f634969\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b61d7261-b3e5-41c4-8ba3-54d5595eeb9d\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"48c8d50b-47cf-4c1a-9005-00160779a870\",\"type\":\"HoverTool\"}]},\"id\":\"295ea3ed-cd49-4ec4-b6c7-a46c3126931a\",\"type\":\"Toolbar\"},{\"attributes\":{\"callback\":null},\"id\":\"84abb223-106b-4686-a4bb-684d34dce4d4\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"d23925ae-26f1-400c-a940-52382371f598\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"\"},\"id\":\"25415a3c-0f88-4e07-9c79-850327c3f947\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"60246d09-b025-48e4-b332-9a6d416102b0\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null},\"id\":\"48c8d50b-47cf-4c1a-9005-00160779a870\",\"type\":\"HoverTool\"},{\"attributes\":{\"formatter\":{\"id\":\"b17e31ac-f065-4c81-8619-d209437e3d25\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b00d55e2-733c-484d-a2ac-7752ba7e2888\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8814abbf-76e6-4e64-b381-c6e959f3125e\",\"type\":\"BasicTicker\"}},\"id\":\"b58de196-4550-4fed-bd25-3751fa7b73dd\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"9d590629-5c4e-4adb-baa9-048969372b1c\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"86bd6904-0185-4aa5-af5f-bd29c412751c\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"b61d7261-b3e5-41c4-8ba3-54d5595eeb9d\",\"type\":\"Circle\"},\"selection_glyph\":null,\"view\":{\"id\":\"c7a2fb20-cbed-4897-8b90-901a45d8324b\",\"type\":\"CDSView\"}},\"id\":\"8cfeeff1-5349-426d-91ee-8c456b50ee81\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"8814abbf-76e6-4e64-b381-c6e959f3125e\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"b00d55e2-733c-484d-a2ac-7752ba7e2888\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8814abbf-76e6-4e64-b381-c6e959f3125e\",\"type\":\"BasicTicker\"}},\"id\":\"fa283698-d97f-4d2e-a435-9f3890b00965\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"fb02c588-aa97-495a-9e3f-865d4a1c661e\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"b00d55e2-733c-484d-a2ac-7752ba7e2888\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cb419071-007b-4223-affd-69969fb9ab34\",\"type\":\"BasicTicker\"}},\"id\":\"32424db7-592b-4847-9c98-74877efa1b90\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"cb419071-007b-4223-affd-69969fb9ab34\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"b00d55e2-733c-484d-a2ac-7752ba7e2888\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cb419071-007b-4223-affd-69969fb9ab34\",\"type\":\"BasicTicker\"}},\"id\":\"7362332f-8fdb-47bb-9376-02f5f734ec97\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"navy\"},\"line_alpha\":{\"value\":0.5},\"line_color\":{\"value\":\"navy\"},\"size\":{\"units\":\"screen\",\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"86bd6904-0185-4aa5-af5f-bd29c412751c\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":[1,2,3,4,5],\"y\":[6,7,2,4,5]}},\"id\":\"9d590629-5c4e-4adb-baa9-048969372b1c\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"below\":[{\"id\":\"b58de196-4550-4fed-bd25-3751fa7b73dd\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"32424db7-592b-4847-9c98-74877efa1b90\",\"type\":\"LinearAxis\"}],\"plot_height\":400,\"plot_width\":400,\"renderers\":[{\"id\":\"b58de196-4550-4fed-bd25-3751fa7b73dd\",\"type\":\"LinearAxis\"},{\"id\":\"fa283698-d97f-4d2e-a435-9f3890b00965\",\"type\":\"Grid\"},{\"id\":\"32424db7-592b-4847-9c98-74877efa1b90\",\"type\":\"LinearAxis\"},{\"id\":\"7362332f-8fdb-47bb-9376-02f5f734ec97\",\"type\":\"Grid\"},{\"id\":\"8cfeeff1-5349-426d-91ee-8c456b50ee81\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"25415a3c-0f88-4e07-9c79-850327c3f947\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"295ea3ed-cd49-4ec4-b6c7-a46c3126931a\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"84abb223-106b-4686-a4bb-684d34dce4d4\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"d23925ae-26f1-400c-a940-52382371f598\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"d187d31c-0104-45b5-b15e-00aa4f634969\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"60246d09-b025-48e4-b332-9a6d416102b0\",\"type\":\"LinearScale\"}},\"id\":\"b00d55e2-733c-484d-a2ac-7752ba7e2888\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"b17e31ac-f065-4c81-8619-d209437e3d25\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"fb02c588-aa97-495a-9e3f-865d4a1c661e\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"source\":{\"id\":\"9d590629-5c4e-4adb-baa9-048969372b1c\",\"type\":\"ColumnDataSource\"}},\"id\":\"c7a2fb20-cbed-4897-8b90-901a45d8324b\",\"type\":\"CDSView\"}],\"root_ids\":[\"b00d55e2-733c-484d-a2ac-7752ba7e2888\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.9\"}};\n",
       "    var render_items = [{\"docid\":\"4217bab5-78b4-4d5f-9b21-f1bafb8c3abd\",\"elementid\":\"2166765a-281b-4890-939f-bee18df0d8ba\",\"modelid\":\"b00d55e2-733c-484d-a2ac-7752ba7e2888\"}];\n",
       "\n",
       "    root.Bokeh.embed.embed_items(docs_json, render_items);\n",
       "  }\n",
       "\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "b00d55e2-733c-484d-a2ac-7752ba7e2888"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.plotting import figure, output_notebook, show\n",
    "\n",
    "# output to static HTML file\n",
    "output_notebook()\n",
    "\n",
    "p = figure(plot_width=400, plot_height=400, tools=\"hover\")\n",
    "\n",
    "# add a circle renderer with a size, color, and alpha\n",
    "p.circle([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], size=20, color=\"navy\", alpha=0.5)\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"c4b68724-ba3d-4caa-a05a-e35969291609\">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 !== undefined) {\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 import _state; print(_state.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 element_id = msg.content.text.trim();\n",
       "            Bokeh.index[element_id].model.document.clear();\n",
       "            delete Bokeh.index[element_id];\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"from bokeh import io; io._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[0].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[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\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[0]);\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(\"c4b68724-ba3d-4caa-a05a-e35969291609\");\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) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        root._bokeh_is_loading--;\n",
       "        if (root._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"c4b68724-ba3d-4caa-a05a-e35969291609\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'c4b68724-ba3d-4caa-a05a-e35969291609' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \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",
       "      }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(\"c4b68724-ba3d-4caa-a05a-e35969291609\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"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(\"c4b68724-ba3d-4caa-a05a-e35969291609\");\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) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"c4b68724-ba3d-4caa-a05a-e35969291609\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'c4b68724-ba3d-4caa-a05a-e35969291609' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \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      }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(\"c4b68724-ba3d-4caa-a05a-e35969291609\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"6561c4c7-a10c-41d6-ac33-1e46c6fcfc50\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"4c5b9a61-ed73-4dc8-87d2-ecc49b59ca56\":{\"roots\":{\"references\":[{\"attributes\":{\"data_source\":{\"id\":\"35a5a3b6-d740-4f99-b400-ae7942d3272d\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"22b94944-2225-43b7-94d6-407736de16ef\",\"type\":\"VBar\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"68e8d3c8-9e7e-44b6-82fe-6b6ec4e78879\",\"type\":\"VBar\"},\"selection_glyph\":null,\"view\":{\"id\":\"7ab6c9ca-dd1a-4684-a53f-92da3d407101\",\"type\":\"CDSView\"}},\"id\":\"0b31c8bd-b3e0-4c25-8e6d-ef828f9642b7\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"formatter\":{\"id\":\"412deefc-55d6-421a-b897-634d1ef6d922\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"667d9c3a-4402-4d91-8992-d9820760266b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0645245c-65b5-4465-afd7-12da312641dd\",\"type\":\"BasicTicker\"}},\"id\":\"78087cbc-34df-4ba0-9df0-745f89a6b4a9\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"667d9c3a-4402-4d91-8992-d9820760266b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a95736d4-fdc9-4cb1-8382-1ff0bf79fd26\",\"type\":\"BasicTicker\"}},\"id\":\"3ccecb54-95a6-4e0c-96a7-2881f45b35e6\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"top\"],\"data\":{\"top\":[1.2,2.5,3.7],\"x\":[1,2,3]}},\"id\":\"35a5a3b6-d740-4f99-b400-ae7942d3272d\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"formatter\":{\"id\":\"d5e68618-0951-4f65-bcd5-ed8e2680a171\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"667d9c3a-4402-4d91-8992-d9820760266b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a95736d4-fdc9-4cb1-8382-1ff0bf79fd26\",\"type\":\"BasicTicker\"}},\"id\":\"fede5267-2ffb-4665-9cbb-f87598ecf5bf\",\"type\":\"LinearAxis\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"64b920e4-3999-4cbb-89b5-ee1cb0516336\",\"type\":\"PanTool\"},{\"id\":\"bd03a91a-b1fc-42dc-afac-9170b5c5e0c7\",\"type\":\"WheelZoomTool\"},{\"id\":\"e51cf3c4-a8ed-4a77-bdff-f7c7ac3ac2cc\",\"type\":\"BoxZoomTool\"},{\"id\":\"af551978-2cdf-4df2-9b24-cf636ce9c69c\",\"type\":\"SaveTool\"},{\"id\":\"04153744-f1bc-4ced-b7df-047839c2f166\",\"type\":\"ResetTool\"},{\"id\":\"f9c5be78-693d-49f0-9074-8260a56e0dd2\",\"type\":\"HelpTool\"}]},\"id\":\"3b7882b0-83d6-4b9f-bd81-caabed752675\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"8e089abb-cdb8-4b83-ab1c-254cb12408e0\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"top\":{\"field\":\"top\"},\"width\":{\"value\":0.5},\"x\":{\"field\":\"x\"}},\"id\":\"68e8d3c8-9e7e-44b6-82fe-6b6ec4e78879\",\"type\":\"VBar\"},{\"attributes\":{\"below\":[{\"id\":\"fede5267-2ffb-4665-9cbb-f87598ecf5bf\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"78087cbc-34df-4ba0-9df0-745f89a6b4a9\",\"type\":\"LinearAxis\"}],\"plot_height\":400,\"plot_width\":400,\"renderers\":[{\"id\":\"fede5267-2ffb-4665-9cbb-f87598ecf5bf\",\"type\":\"LinearAxis\"},{\"id\":\"3ccecb54-95a6-4e0c-96a7-2881f45b35e6\",\"type\":\"Grid\"},{\"id\":\"78087cbc-34df-4ba0-9df0-745f89a6b4a9\",\"type\":\"LinearAxis\"},{\"id\":\"a8eb71a4-5064-4bc8-bde8-c74cb03d547b\",\"type\":\"Grid\"},{\"id\":\"8cf182e4-48fc-497a-a4b7-3db4b4b858d0\",\"type\":\"BoxAnnotation\"},{\"id\":\"0b31c8bd-b3e0-4c25-8e6d-ef828f9642b7\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"c1b260c6-e301-4a0f-96d0-d92a6cb89974\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"3b7882b0-83d6-4b9f-bd81-caabed752675\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"31a7731d-bdb1-49fa-8b3b-1ae8f28cb637\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"8e089abb-cdb8-4b83-ab1c-254cb12408e0\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"dd7a8305-4175-4fcf-bd01-09db3dc0fac6\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"e793c2b2-f573-4ed4-b3c3-2dd1b127a720\",\"type\":\"LinearScale\"}},\"id\":\"667d9c3a-4402-4d91-8992-d9820760266b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null},\"id\":\"dd7a8305-4175-4fcf-bd01-09db3dc0fac6\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"0645245c-65b5-4465-afd7-12da312641dd\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"667d9c3a-4402-4d91-8992-d9820760266b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"0645245c-65b5-4465-afd7-12da312641dd\",\"type\":\"BasicTicker\"}},\"id\":\"a8eb71a4-5064-4bc8-bde8-c74cb03d547b\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"a95736d4-fdc9-4cb1-8382-1ff0bf79fd26\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"d5e68618-0951-4f65-bcd5-ed8e2680a171\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"8cf182e4-48fc-497a-a4b7-3db4b4b858d0\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"412deefc-55d6-421a-b897-634d1ef6d922\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null},\"id\":\"31a7731d-bdb1-49fa-8b3b-1ae8f28cb637\",\"type\":\"DataRange1d\"},{\"attributes\":{\"plot\":null,\"text\":\"\"},\"id\":\"c1b260c6-e301-4a0f-96d0-d92a6cb89974\",\"type\":\"Title\"},{\"attributes\":{\"source\":{\"id\":\"35a5a3b6-d740-4f99-b400-ae7942d3272d\",\"type\":\"ColumnDataSource\"}},\"id\":\"7ab6c9ca-dd1a-4684-a53f-92da3d407101\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"e793c2b2-f573-4ed4-b3c3-2dd1b127a720\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"64b920e4-3999-4cbb-89b5-ee1cb0516336\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"f9c5be78-693d-49f0-9074-8260a56e0dd2\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"04153744-f1bc-4ced-b7df-047839c2f166\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"af551978-2cdf-4df2-9b24-cf636ce9c69c\",\"type\":\"SaveTool\"},{\"attributes\":{\"overlay\":{\"id\":\"8cf182e4-48fc-497a-a4b7-3db4b4b858d0\",\"type\":\"BoxAnnotation\"}},\"id\":\"e51cf3c4-a8ed-4a77-bdff-f7c7ac3ac2cc\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"bd03a91a-b1fc-42dc-afac-9170b5c5e0c7\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"fill_color\":{\"value\":\"firebrick\"},\"line_color\":{\"value\":\"firebrick\"},\"top\":{\"field\":\"top\"},\"width\":{\"value\":0.5},\"x\":{\"field\":\"x\"}},\"id\":\"22b94944-2225-43b7-94d6-407736de16ef\",\"type\":\"VBar\"}],\"root_ids\":[\"667d9c3a-4402-4d91-8992-d9820760266b\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.9\"}};\n",
       "    var render_items = [{\"docid\":\"4c5b9a61-ed73-4dc8-87d2-ecc49b59ca56\",\"elementid\":\"6561c4c7-a10c-41d6-ac33-1e46c6fcfc50\",\"modelid\":\"667d9c3a-4402-4d91-8992-d9820760266b\"}];\n",
       "\n",
       "    root.Bokeh.embed.embed_items(docs_json, render_items);\n",
       "  }\n",
       "\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "667d9c3a-4402-4d91-8992-d9820760266b"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_notebook()\n",
    "\n",
    "p = figure(plot_width=400, plot_height=400)\n",
    "p.vbar(x=[1, 2, 3], width=0.5, bottom=0,\n",
    "       top=[1.2, 2.5, 3.7], color=\"firebrick\")\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"e7b3ea3e-8ae0-467d-810c-0a32b07b0664\">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 !== undefined) {\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 import _state; print(_state.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 element_id = msg.content.text.trim();\n",
       "            Bokeh.index[element_id].model.document.clear();\n",
       "            delete Bokeh.index[element_id];\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"from bokeh import io; io._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[0].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[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\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[0]);\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(\"e7b3ea3e-8ae0-467d-810c-0a32b07b0664\");\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) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        root._bokeh_is_loading--;\n",
       "        if (root._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"e7b3ea3e-8ae0-467d-810c-0a32b07b0664\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'e7b3ea3e-8ae0-467d-810c-0a32b07b0664' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \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",
       "      }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(\"e7b3ea3e-8ae0-467d-810c-0a32b07b0664\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"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(\"e7b3ea3e-8ae0-467d-810c-0a32b07b0664\");\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) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"e7b3ea3e-8ae0-467d-810c-0a32b07b0664\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'e7b3ea3e-8ae0-467d-810c-0a32b07b0664' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \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      }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(\"e7b3ea3e-8ae0-467d-810c-0a32b07b0664\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"f0e08f28-723f-44e9-ac65-90300aa9ed0d\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"4155093a-ed41-4d9c-9e5f-8d37e06e6bf5\":{\"roots\":{\"references\":[{\"attributes\":{\"formatter\":{\"id\":\"c5562f12-6840-42e4-bf4a-67d9f045a461\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"63fcef33-5daa-4447-8258-e57ff6b021c4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f670d79e-30ab-4089-b8d9-e2df2ec40678\",\"type\":\"BasicTicker\"}},\"id\":\"9f03691f-1646-4fad-bdf5-a28206da41bc\",\"type\":\"LinearAxis\"},{\"attributes\":{\"overlay\":{\"id\":\"cc11b772-b5de-44a4-98d6-da361c928491\",\"type\":\"BoxAnnotation\"}},\"id\":\"2b7471ea-7fe0-486a-ab7b-b605972d7174\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"below\":[{\"id\":\"9f03691f-1646-4fad-bdf5-a28206da41bc\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"79fb6596-7765-48e2-ba10-fad66a8c316d\",\"type\":\"LinearAxis\"}],\"plot_height\":400,\"plot_width\":400,\"renderers\":[{\"id\":\"9f03691f-1646-4fad-bdf5-a28206da41bc\",\"type\":\"LinearAxis\"},{\"id\":\"ca43697c-182e-44e0-8eb7-c70f3f195a90\",\"type\":\"Grid\"},{\"id\":\"79fb6596-7765-48e2-ba10-fad66a8c316d\",\"type\":\"LinearAxis\"},{\"id\":\"a31103e2-83f6-46b5-ae3e-25f9781a8cb7\",\"type\":\"Grid\"},{\"id\":\"cc11b772-b5de-44a4-98d6-da361c928491\",\"type\":\"BoxAnnotation\"},{\"id\":\"4ed71968-b122-46c2-be4d-a60376163e84\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"1a68593c-3eda-4b57-99bf-57a576219ef8\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"e50071d7-374f-4e3f-b79e-cc58ea78b82d\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"01609014-8676-45ff-8295-dff6cd31e7d1\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"99b789ef-8665-4aaa-b6b6-c4335584527a\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"e4cf0e23-bbc8-4ed5-ab55-21dbfc5bc977\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"47d475d5-5a58-4029-9881-19d9b44b606e\",\"type\":\"LinearScale\"}},\"id\":\"63fcef33-5daa-4447-8258-e57ff6b021c4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"plot\":null,\"text\":\"\"},\"id\":\"1a68593c-3eda-4b57-99bf-57a576219ef8\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"f670d79e-30ab-4089-b8d9-e2df2ec40678\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"01609014-8676-45ff-8295-dff6cd31e7d1\",\"type\":\"DataRange1d\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"cc11b772-b5de-44a4-98d6-da361c928491\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"e27c622a-a123-469e-97c6-1df328554e21\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"2eeaf6a5-c444-4025-aad7-ff725553275e\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"c5562f12-6840-42e4-bf4a-67d9f045a461\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"source\":{\"id\":\"762f4cfe-c125-4ff8-a838-077902911708\",\"type\":\"ColumnDataSource\"}},\"id\":\"5ce00ba9-a0a3-4620-8bc5-8660162b335e\",\"type\":\"CDSView\"},{\"attributes\":{\"formatter\":{\"id\":\"17f3e513-1bc6-4312-861e-408bcfa36623\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"63fcef33-5daa-4447-8258-e57ff6b021c4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f608d23f-3a55-4810-a502-59dee562c5e4\",\"type\":\"BasicTicker\"}},\"id\":\"79fb6596-7765-48e2-ba10-fad66a8c316d\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"63fcef33-5daa-4447-8258-e57ff6b021c4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f670d79e-30ab-4089-b8d9-e2df2ec40678\",\"type\":\"BasicTicker\"}},\"id\":\"ca43697c-182e-44e0-8eb7-c70f3f195a90\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"17f3e513-1bc6-4312-861e-408bcfa36623\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"6092ac52-f6a0-4a43-82d7-d7df57d76f82\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"ff9ee4e2-934d-4e4d-9415-e1b7e17492d2\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"fill_color\":{\"value\":\"navy\"},\"height\":{\"value\":0.5},\"line_color\":{\"value\":\"navy\"},\"right\":{\"field\":\"right\"},\"y\":{\"field\":\"y\"}},\"id\":\"1ee2beda-9109-4dd5-b742-2ede9f16cd22\",\"type\":\"HBar\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"2eeaf6a5-c444-4025-aad7-ff725553275e\",\"type\":\"PanTool\"},{\"id\":\"ff9ee4e2-934d-4e4d-9415-e1b7e17492d2\",\"type\":\"WheelZoomTool\"},{\"id\":\"2b7471ea-7fe0-486a-ab7b-b605972d7174\",\"type\":\"BoxZoomTool\"},{\"id\":\"fa9b6737-dae4-4e5e-85f9-d03f0d887a1b\",\"type\":\"SaveTool\"},{\"id\":\"e27c622a-a123-469e-97c6-1df328554e21\",\"type\":\"ResetTool\"},{\"id\":\"6092ac52-f6a0-4a43-82d7-d7df57d76f82\",\"type\":\"HelpTool\"}]},\"id\":\"e50071d7-374f-4e3f-b79e-cc58ea78b82d\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"value\":0.5},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"right\":{\"field\":\"right\"},\"y\":{\"field\":\"y\"}},\"id\":\"1ff1ce6d-1c4c-4129-887f-4dde9cb3765a\",\"type\":\"HBar\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"y\",\"right\"],\"data\":{\"right\":[1.2,2.5,3.7],\"y\":[1,2,3]}},\"id\":\"762f4cfe-c125-4ff8-a838-077902911708\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"99b789ef-8665-4aaa-b6b6-c4335584527a\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"fa9b6737-dae4-4e5e-85f9-d03f0d887a1b\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"f608d23f-3a55-4810-a502-59dee562c5e4\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"e4cf0e23-bbc8-4ed5-ab55-21dbfc5bc977\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"47d475d5-5a58-4029-9881-19d9b44b606e\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"762f4cfe-c125-4ff8-a838-077902911708\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"1ee2beda-9109-4dd5-b742-2ede9f16cd22\",\"type\":\"HBar\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1ff1ce6d-1c4c-4129-887f-4dde9cb3765a\",\"type\":\"HBar\"},\"selection_glyph\":null,\"view\":{\"id\":\"5ce00ba9-a0a3-4620-8bc5-8660162b335e\",\"type\":\"CDSView\"}},\"id\":\"4ed71968-b122-46c2-be4d-a60376163e84\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"63fcef33-5daa-4447-8258-e57ff6b021c4\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f608d23f-3a55-4810-a502-59dee562c5e4\",\"type\":\"BasicTicker\"}},\"id\":\"a31103e2-83f6-46b5-ae3e-25f9781a8cb7\",\"type\":\"Grid\"}],\"root_ids\":[\"63fcef33-5daa-4447-8258-e57ff6b021c4\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.9\"}};\n",
       "    var render_items = [{\"docid\":\"4155093a-ed41-4d9c-9e5f-8d37e06e6bf5\",\"elementid\":\"f0e08f28-723f-44e9-ac65-90300aa9ed0d\",\"modelid\":\"63fcef33-5daa-4447-8258-e57ff6b021c4\"}];\n",
       "\n",
       "    root.Bokeh.embed.embed_items(docs_json, render_items);\n",
       "  }\n",
       "\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "63fcef33-5daa-4447-8258-e57ff6b021c4"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_notebook()\n",
    "p = figure(plot_width=400, plot_height=400)\n",
    "p.hbar(y=[1, 2, 3], height=0.5, left=0,\n",
    "       right=[1.2, 2.5, 3.7], color=\"navy\")\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"75a0f4fe-3fe2-4987-98dd-e8368ad6f0ac\">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 !== undefined) {\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 import _state; print(_state.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 element_id = msg.content.text.trim();\n",
       "            Bokeh.index[element_id].model.document.clear();\n",
       "            delete Bokeh.index[element_id];\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"from bokeh import io; io._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[0].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[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\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[0]);\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(\"75a0f4fe-3fe2-4987-98dd-e8368ad6f0ac\");\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) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        root._bokeh_is_loading--;\n",
       "        if (root._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"75a0f4fe-3fe2-4987-98dd-e8368ad6f0ac\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '75a0f4fe-3fe2-4987-98dd-e8368ad6f0ac' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \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",
       "      }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(\"75a0f4fe-3fe2-4987-98dd-e8368ad6f0ac\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"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(\"75a0f4fe-3fe2-4987-98dd-e8368ad6f0ac\");\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) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"75a0f4fe-3fe2-4987-98dd-e8368ad6f0ac\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '75a0f4fe-3fe2-4987-98dd-e8368ad6f0ac' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \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      }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(\"75a0f4fe-3fe2-4987-98dd-e8368ad6f0ac\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"14f170e6-44d5-454b-869d-9056e52041f2\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "application/javascript": [
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       "  function embed_document(root) {\n",
       "    var docs_json = 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\",\"dtype\":\"float64\",\"shape\":[4000]},\"x\":{\"__ndarray__\":\"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lBALNQdYHRaOUDjnGPSn1s9QKWI0vA9Gw9AoNp0HsqkJkCz3oXVH05TQFe1rSFed1hAGkE7/hIEJEDGIoBOMxRAQAFG/YKKpVJAmOiWmyaES0CaDIQpa69YQNS4kcJRXldA4Kn3t1FzS0CNXVk8nLc5QAUVLRzV2UFAeq2nu8/gV0ABmLUGzodUQAgttMP3wURAEzuEDPvXREDw2YlHoMsjQHVSD8kUblNAsWT+vSMCPUCVVoDEkw1TQH5RzmdYNVZA25BEb02vS0DLlyvVZTUyQLaD9dRd9/Q/YvzvYj1vUUDe+tYR3g0/QDFNV34PDUdAOJcl42gPVkDCpYw53VFSQOEbgYzeB1RAYBFG96OaVUAB7ExfI/tYQL/FL56lDEZAULcJH5JHRkAvax6l5MpEQL0mpjbDX1RAPqfmw8C6PUA6GGvBIYpTQG7LK/yzOFJAB2zo5FOrVUDUd0rmUu9QQPmD84fGtClADFKAb5ZfLkDKpnSwIhFQQNSF5/aeh1VARYGoIqhDRUA6ShwE5upDQPxffTmqskZAyppNBP5wVEAiuaWQyndXQMigOPsWdUFAKJv62AnJUEB4750XfKZVQGzqZuX4i1RAmTOXbKaHVEAVeYXu56BOQDQkbBCtUVVAI4azfaraQEDvFvsr7SVTQBxIZZXTLzVAEZ/E8iNFVECts5oBkytPQKDVoKv9Kh1A7qR/TjZxM0BV9RQtNwNUQAJ3eg5ZQVRAakd3+Z3AT0CtEY4tjJJOQCw/Cx1GZFNAYiesEb4GVkAqafVEKYRWQJNJGOtqyVdAL/oada16O0Dg6z8AQVpLQOe99nYKe09AE7wtSgVMWEDI6AtDpc9UQNYY9A6KTzdAzP9gAyYgVEAYwyAQz59YQMymP0JMMFNAUuWUtVTAS0CmFrHzaXdYQAa/+qvKBFVAafMKkugrU0DUNxTqOP84QIB+/N/1eVFAQVFeOaP/VEBXzi0sKfpVQNZzhnmGVklAcxH/UJsyV0BOG+H+kZtMQCj17TXBgVRAuYvibmW9OUBO0PliYfpQQJAG6aRT+FJA4A32dnrmQ0D9Gj0/xfooQFEy//I+QFhAQHOkrqBUT0CM1wR+8U1HQPWf1zU3vVhAWQHV2BGUJECpspe4O10VQCbKOqAidEpAD/06hqk3UEC0t497tsdYQAWBdOAPETZArbRApw4oRkC6vIjqL1FLQC/yymW0F1ZA7t7aZZqsN0BwiCckTbxGQEzP3zADN1RAIkxru1aeQ0C19WKqb7JLQIIYubsjki1A7fdjo6TsUUD7/1SpuH1MQJcxikJ2bitAaNYo1f3sQEDZB68EgBRBQASMTBYSGDZAoyG0E2P4VEDqVz2qBDFYQOAqyiVcU0tA4TfvX+LLOED3reGvjCBAQPIcXTqhqVFAHWvgCb/HVECQOU03PRE0QNY2cFQYDk5AdPqv70fMVEBYIDp1TSdBQCcH7s3BDT9Aq266BniZWEAUor2DNL0xQArYSdJG3iJAfgtn8AmKNEAyadQoMARYQFLg3I/+GE1AG7EYedYGTkBORWIS97dRQPyiPGE6BlZAqz/VklEMS0AOBCO2YSdRQNCzRQw+bfo/Q7UYivMRSEAhERVf+qRSQFuOyx2QO1hAFOLLguuMMUBzFaAoF4A2QMT+yUwu509Ardn63TLaR0AAcsA5S9PaPx+17L0IRFZAcjFT9TZRKECzKBqo2rxAQCT8pZsZWEBAwFIdZ/MWPEDConM+ugtBQCCfbs7HMlZArQjzpvHVVUCuqw/pHw5YQLgzFcFBqVBAYK8oz56zU0Ad/86PDOJUQEhxr9KXVwZA0Q6SIxtiS0DlH6C5v8hVQNCSy0G2r0FAekbFD8rPT0Dlzidz3IAMQKhzbo+GEx9AOEatwcjxL0BcpmX9S/lUQPA9MBvHWldAJIaj7j3/UED6M/JVpalJQLmS+v10rFBAeDJBCz5rUECGkE7za51SQHU9G0tuaFVAiPo/NVixV0CY8vsUFEA5QGv6T2vnfDpAcagED4bYVEDUbAcv+5tQQFXuUKFliFVAxUhlsmz8WEDMOU2RmjQ3QPsp2/J1Y0BAusNgB3dUQECLPvGx4IpYQNd3CLkOn1dAeEvgWmaMCEDJD5Isx2BFQNYYROutMT9Ap/J7AVCMVECW/Axp2qRDQLnAdfZq3SxA+mHam7dwOEA4F0itSYdJQIUYab9Yhk5Ar9Am9NxBUkBJ0iCoOnVFQIkfey6YYjNAm4Rg4VVPV0CLNKY6VgZHQLe6+Ysu7EJAvI5S4DzGSUBTp6BqUkZEQEiEDG9id0VAU0KS0RmLUkADZ3Z0TwIiQBMk2ZG1m0xADxHAFLLQV0DtLIwL9OJVQICfQEzb/zdA1MAoMjuuVkBCfUNYgFs4QN7oCePWNFFAEfQMM2YEUECWELKIE99DQO9EhmdL5kZAqACBsiX8V0CD0h/Rl2NYQLbW8nOQUjVAcbsqjVa9MUBcfjoYJWEYQGRicZ/9+0NApdwuFqCkWEBl33w5ZWREQAJ27Hna4kRAIg0LNSyMUUB0KDW5IoI2QK/gJbldlklAbQjVOhQTWEAixvHo6MpRQCe7cyuVrlFA5jGmYekDTUCGprJVTs1XQPh5bAls4ENAnEWD6gI0REDQf6AVW9QfQMnU7jQmRzFAA7GRGIwcUkAaOHUnt+Q5QP4KEV+/FB9AaF5GigbaNkADummUlvlJQKC3TfoJrRJAZXUDAj/xHEC6CCUrzrRUQHBT80vkSk5ApLj3Szqw4D/1NBJBWoskQFwyTOpGByZAhl9Wi0j+R0ACixIsmd9TQJhySw8OeTlAQWKcErBOWED8jHKs840kQMV4T6+7PFBAUPppExRYOECPyrvdp6E6QKYlcxD6dlBABtJTyxjHVkAGz75avfxDQMKVnICaKkRAO+WFyGA1QEDqEix2xo5UQC1gGv85m1BASyvui6zDVkAHJ0drUPxTQCR/XaPNp+0/8Ma5W3hoJEDKBxJVjw5EQOK45bH+lDtAz1mDoIRHO0B1yk1ohQ5SQNDfxmYlbVBACkgdnoSxMEBA75ijD9ZOQDOfZVIDtj5AWpYm+sqhUEBE9ISv8/8iQO4cisb7IDJAeE8/OCvvK0D0H91hBsBQQO9IczIBWU1AsbZOQJJaTEChpDp/MsFKQPynqwbIl0VABHsErEEQKEAuxOxJ7QI3QGdyOyxfmVdAR3KRXEgCP0C9ZG4yxh8rQKpiagW1APQ/b3cQ8IHNV0D+czG1akk5QDrIeQULXEBAXwzrCusOWECvv7iwPAs8QETOFLGneVVAevK0xRF/QkCa/fES5uhRQCHy6gywBEBApjZMNZAHP0Cg+4sxq0dSQKQvfOZDkFVASBLE+VGdUEA4f8zJ/xUAQGKdbZjttjVAgjlwxRvtUUAWxvK3ZAxQQHvuzG4ac0lAIWxkPeIrQEA0MPNWVJ5QQCSQFDrWJVhAP+ehOfLmUkBwzr2jqm1PQHxAPQfohVBA+gwqoxwGFUD6ZJdtqOdJQLqiYKrYtDpAho0r4frHVUCj0Q5LXa1IQOUJ8RIKMzVAhosjWxNUVkAfdJw7W5NJQPWjTSbUazhA90Rkj5K5RECt0rJ0XEc5QI5kIFQAyFNAtEnhlt37RECbYosbnMoxQMTt4txwMFFAXnFILaVFUUBmtyRN/Ws+QEfA/K710klAQVjPtwVgUEBYo/YG551YQIsw34UxvT5ADW8SAgKQLUCuFVOHOIlEQM6ddpDpCjhAeK6TSQvaUkCqDL2pmb1EQDzEDjAES01Al25t4LJcRUAFWrFKey8YQFrP0o04n1NAXsv8qCb3M0AAvf5iYS5MQOo7Km8zECpAWeVO/bQ+M0DM7dg43Ps8QNCIOjoaGkFAk3UHPUsJS0DmImPZOYlLQCl9cPJD6jNAgrrtfQtISUCW4Yeb/bpWQJfvRRvSj0VAPpS4itypR0DUxmJLb9pJQDprOs9WkklA642aTWGsVkA/TyTG0FZEQN9qXLLIWzxAF+uyuraRVUAUU2cjyvJIQPOnqU2SYUBAF+jY8pk+TED3aSa9Kj9VQELYhKcFYVFAgSP4ogbSQUCmv7ldK0FQQMe4OISgLk1Aw0o0ni+xUUCGpPQ+aWQ3QKyAAwj4Q1ZAyvcIwP58NECp+oLEKCpCQFQiYI0LsVVA6YzgSnOqGECKAoLos9JXQDiJiAupTENAcpPJ034bUkBSYr+KMvdGQHwvSRFUF0BAzAacrGZLUEBKz8hYo4BJQIoPPzUMejhAgqqjyV0aLUB65c4J0VxSQEeKiys+7EFAYpquenBpQEAUzR2Feks3QGRwaySz6k1A6g1fnK+BV0A5+QEDGx80QPgQZbHdut8/J5BKf8lXV0DYtxGGEp9WQAQ3Vh62CUtALw4RD3PmQ0BEVM072nVSQHydutnwthhAI1c5otogUUD9/1A8EC0QQFUWq0Km3UJADIh4dI7qLEBc4RDFk4VFQP76fsk6PkVA2kdCVE7lVkAWud8HOjwqQF5CqtZnz1hA/Df3R+1tU0DwQ8IA7i0qQCCnhpBBikhAOVnUwBTEIkBW1Pp8axhUQAAUwVddfkNA9nS9cySAVEDcXYqe8/IpQBqOYZR4NRVA+wL/RnYDREAEyGWx29JYQDYVZUQ1UFNAJg0/QVylNUCZ7+zrBqhAQNkNKZM7CFNAwhGuvq3NQECL9Gd3BVJDQLawMJ1nO0RAiOQD/vq+REDiWhC+M1scQFBhnH9AxFRAqWhRwIOXVUC6x/tzFFgvQMrU1f+/+AhAhC6X1qXzP0BDFqv18VBTQJoMwEAZFURAQ2TbGD8cTkCqIve1h6kwQIwr7K7i6lVAhr4j36w9UEDqSJokAe5DQN44SpOIMVVALGzINXyMOEC0vStKjc9EQCfR98IqMkxAqsujWmi6OUDyeS1AEXJRQKrm3WraXhdAeYagItEJNEBMsdwrnfI8QAfMPPQ62FBAg4Zuct+0RUCUC4A416xWQJFXc/UkqC5An380ARdOLkC5p+TiNwMKQB9xqtiktUxAK60PrUJxPECct6IyWSBSQLFNUI2KRlFAVRZrIOkiNUA348RcVFZWQFtHVaKOzktA8wdStvLZU0Ao79NnNDNDQHt3CLs8LUhA4O0vO3tsVEAGcpNUX5EQQEjcuk+qZ1hA+h46UMZDE0D4cVOXeCwYQLrNXOG1WzNAcuYB8KlkO0CZK5F6gyZYQF0/1H3QiEVANP6p4gBTQkCYLZkgk/k4QKTLVAhPVlBA9WF1V518NkDg7T+uFltTQG4p7YvIpVBANSSCT8WZV0Dw52egFblSQLmPmXoX/VFA1D1Bvd4sRkCqtK7ukTU8QFLOJGmAhUBAnROtCTvcVUCrE0VRC0xPQJQvH0DCyTBA5xWvccFyV0DsTGuwrV5PQLi+qNperUVAZqFu5YwZVEDACaqTQpgWQEdBcxvT5U5AFtDRvdHjUEDoeaPkj387QBH7aBa5MFhA6bJV8DPfU0ArF6QAzatKQIR+zfRX7RVALR0/KltUEECPmFnrkeFRQOhiFlkVNjpANNZGMhwMOECMIcxzzctUQCy54T3xmCVAcplcYI9OSUAWjlpO9/1TQBZJcxw31lVAirVkFpKsPUAmGUbn31gbQMzoY0Zws1NAO8aX8F4fVUCUlrMXnMpYQFueBcwQ3VRAhpDhs+kaJkAog+WM+0YsQOSZxs2SOz5AbCpV0AldT0B+UWYmmGc2QH+2oeQ4mTFA5YpRKq1mU0CFnWDqBipAQDqcIuuBKzVA9W+YegpqHUA6jngHTbj2P/BU/VZJyk1AxqMJvogNQkASIV/CiHhUQF22quT3rlNA8jTC7udM8T+O2kFlyI9NQDBi+WyB+VBAw3NQ6GXuS0BTopI01ShIQEwo+NwwbCZApLMXLwvxQEDmJnsmyxhWQAP4PJYAaU5AK1B5hhmgWECSHN/2cOBNQBPqCntThE1AJ4m9Et4mQ0Bz5GGvHSZSQIBlOXfhjktApu9ZSyNhM0BXWUBXHx9NQHohJQmwpDdA+dba2UjlVUDC3U8JF6oyQGBMgBhpDVVALmiq4XwYFkCSx+QYlQcGQKEu8ck6YSpA7yXMP9OPR0B0ruJ5nt8RQAB+E/a0slNA/PsB5+tpU0BhXAbGfmJEQDfze7wmflhAaDqB6ef2SkCEqWX9CJhSQOHOUOlqiVZAx+cuawORPkA3U6t+sXgXQDhV4d29q+I/yKR9GnPJVEDHCVpFzJRGQKDyNOKSvkJAZLKq51I8MEAGcGLmgRA+QFh3yulei1FAkLWgvv7dWECn8Ifu4R85QOuCiQ/X8FZAHE+93jLIUEBMm3v3a9xKQGvrGmQuQyRAM251wK6fNUDb0VXUc31IQKSqq2j771BAFVfi+xPPTEAYa3au8JAeQHo5RX6HiVNAfBE+RSt5M0AEfDwp1lZJQAN+g+43pzNAfP+5G7qWUkALhNAE/GFVQNuP0W7BeyhA+E6LeJWnI0AcE6Kt2j4qQNnI0EnRV1BAPsaNUPhkV0CSbfgJqJBYQGgORA/KjEtAgSoRB6+2UkDBdTOAA/ZFQKbsTlTG2FNAga6vVKP5P0BaN/JtchgcQLkXj9RerlNA5A+//IIrV0Db2Ah8nTM8QCX+3VrJAzdAb5AvpW0MQkAy5RmAV7ZPQPXG2MXA20FA3H0OPCcRMkChQe342/9WQKDcd8cuX0JAElfQ2HczWEAwacUPpKU4QGRoqVDbPkpApoJ8tPGCCEDRqTxDlb9IQFoHIiUT6hpAzNNoi7yHQUBl6ujB9UNGQD4EUAiCUztAuM5KW+OQUkDgdJGSqlFTQGhdXdTc+01A95gVdFrNU0B37RhThrhNQJCmv9wTfkpAbZwHyJPoVkDd65U1R5dEQIDraI+wFRlArCNPPua6UEBMO4dlivxSQF19uNAUeExANxqZwZt9VkAWbtapeQEsQITQfI20mDxANzvDw9ZVN0Diu2iJ7w/2P1WcesBXtilACMFiPjRLOED6zvWanwtDQJCFABzxEVBA7gMVSyj8RkBeNRTrpzNOQC019XFl7lZAKgiSySr3VkDyDR3vmbFUQHJMeKB+bEVAIWRFmSyzTUCOmh7+r4xRQJCnNhTbSFRAosTev6gGTUB288wU7dwlQMtLbkdIQ0lA0SWfd/UfMEBuVDZNQz1LQHzgwpDgAUNA5jMzMgRFKUAay0WV8wg/QMX/YOv3sj9AYwykeRnyOkAt4EFSUy84QABF2C7qUlhAuaexvPAmMUC1Mgovb0pAQM+Ygjn+UFhAY/h7pM9SUUAdjOUg7h87QLwvb32bD1hAp4Z70d5QSkBePsG9DdNVQGCv4cyaKUdAYlIGRB/HWEAqppGZVNJVQAB9v4AQzkVARr55VCOkQkAcMJAmej03QJXanRogxCVA0XKFgdu8LEBG2sHAyj1VQEl+Iaj/C1FACn+r48e6V0ApuySu1zdLQEdCJwnWGUNANb+G7BdOVkDpcq/4XDpWQEIjTLTFRiRAJDzWoUrMUEAlO2L1holCQM6I7FrE0jlAZ2MWVbcCQ0DcUGW/vNVIQLqK85v+d05Ar86fDmbLRkCpL9ptGeVYQCzACv6z+1ZAg+U8r4siVUDUaFRV6XA7QHsqG5edvlRAizNHX3v8VkApyMkA0/8rQG5wrwBmrFZAarb8myHBV0DiEA1HOUxQQCORDKxcXERAnjxnfWP2UkCqsrPoks04QMUEY3F3RiZAco7k/6CEWEDWYluarwkNQCAt+YmMID9A5PdWBrr1OUBgYBJ6vJQ3QNbKBWOcoFFAE8YmSf4eV0DtUrEMLpJUQFVgQ6rLH1hAlrO6j1QxN0A1XKyYo6hRQGnCpEl8yUdA7S7YUAwHSkAPkN7DPmkiQDmCmGHSCFRARHbAQv/HWECBZQKEarxFQPm+w4YYKEtAD+rUaLBSFkA5Y95HK8ZKQCRdAtKbwzxAJanCEOX3OUATO/oxOAhGQBSeYO52/StAOI7ID6f7N0CTd0d9NW1UQKcArwq6vyRAPQimdCFSREAXx1bDDgZVQBmc5YJo7BRAgHPU1crm5D+ItI7Fj4tDQMYJ5iC+yFhAroXWRVxeNkC8h+PWaRBIQGaCVnYzDCdAao9e7VfcNUAFsQSXbulDQIfy4xOF4jtANJozndm8REBAZHf8HB5RQO2tv3X3gUpAiNZftqpMQ0C5DeYQkLJRQBGyN1sY51FAqJne+MsrP0AhfIyyMDRBQDbT7nb08FJAgt78AfqNWED/4/n2jOpYQGchJ29CcSRA9kjGFB73VEB/AfcvIV81QBA4r2mJlklAZ/iNAyiHWEBHWMAe1NNXQIi2G0LtsDZAjes9wpv0OkCyTqHSGLkwQJgH3zMh5E1A7oU+OAvRMkDRKjADFBM+QNFrr01VwUNA/lk4u07xS0CDw3B90NMoQItZnoiolCxAzBISgqWKOEBFo4NTSMRSQKrrrPHv5BdA8ADNO2nMTEC8DNhutPRHQCSa3p+yhTNAnADTp/hwCkCJoKSes5lQQD0JZzzqXENA2EfQDsuXRkD2nsEpobFYQELuJzm540hAWDfHb4UUU0CjzPWHAGJSQAw4thPlZTNAApxq02UDMUA+64FPOSpJQB11PE76+UNA77jMH7GbP0DtKJwSXaY6QFs/0JIUj1hA6PtlOyHIMUDXFm724oAyQB+AGkVmBFhA8PBYS4G3UECLi8gHXVNHQAZSF2CeYlFAn2Ac4kMqSEC6fQ1fww83QBrrFUEfw0FApcLlegInR0CDhXycOxdBQG38UcGX8UZAydd41PPrU0D51REm0gBGQIAb9awtMFFAnFtXHgvJWEC9pA5ya6A0QKj0gpnfwTRADALBUZZ1MEB+AHh//JhEQFVc8X2VTklAZ6ruI7kWSkBR1UpiYxhJQCg/4sdSRtQ/BBF+CLjdJECLTgW6nYZPQPVaLsIUN0dA4ihgKkRDVEA6cEOnnoIpQK7oxwn3+VFAH4pSRqP/SUA6+gqLaUE1QDNq+Vflf1NAnklcGi4LQUDW5cY+UZ5BQHIEo37+eVBAcuWKBm44KEAXpWAgdkJSQG4u+IvATjBAlGFQFXYhSkDA+CvxLRlYQFxOx5YgWTBAKngMOYHiRUAM5pAFSVBVQNZLb8TLgClA2BFblD6mVUC/KOlcWctWQJEMG21yZDNALQgTEshYVkAh7pFMmLZWQHVgm9+KWjBAfdh3yKVlWED/xwUUCkU5QBOHMER+olVAhgc0bCtxVUDMVIbrY95EQN0degTgw1VAcs/mmh+SQkBGvrOQcvNWQEWyhOwM0zlA3UhqnbnwVkChZW1cszVDQE7PYQQgdyBAJAD7sLhCV0Dmw2jvHZFVQMMUk6DOP1hAuGMFYyfV9T+xcIBNpoNJQL3Z3rOb5CRAGOqYMLGRUUCX/kPHi0NXQJa78i/rQhlAQLB4YPGQUkAQZe2Wv+VEQG/pbyUV6jhAsqG3tcvuUEDkh7DuVSFKQNb5OF/4YihAcQTF2CjpMkBjx+mUxH5EQPn28hKLnR1Ah2j6LRnjQ0Ag6hPJDdxSQBz3eETVllJAk1TqEdRkVEBwfQNhUG4pQCtCWiyI0kxAiuFXivJzV0CkCKW1OLE7QPXDRtOr4wBAOp9ujfIHPUBJSyD5IptUQB1q8JXEUEVAPxaNi66dJ0BTSAhlSOAkQKlD8I589FhAM+SCmaSEUECVHIzLc1FVQH4FjztfGVdAD5R6PSw7VUAQH2hQpSVYQFfAmdKWyEZAJoHySmjcWEDU4uXWJ2BXQLsmXQFHCjNAQPIIGvNYE0CWy0qAm+dYQGuazHSelVZAy5JW9D+hUUCototASy0zQHCiDNDb8z5AQ7tS1aDeU0B2/gvmnT9UQHUGA82OaVJAOlRs7JxWO0A+yZkez09UQD4yZyAy61FA3ONEW3X1GUACKa85YudGQKQb9KNptFhAHOhlD4JeTUDVogv2A3hOQHHnVXOd0FBAP4GuPfFQVEB7Qf0ma5dJQKQelL2wxClAXzVOIKp0T0BL0uzfTAI7QEd/wsSVDQ5A8CZnvR5KQUDBUoqvF+NAQHlAbZVIAFZANyNt2DOmU0BRgYAcbyBFQMBEZG9iCCJAASqrR2+1MEC6MP+NTsc4QMBQb0CfElZAalrAv3naAUA0Fa8zIAlYQGS0Yr5dWTZA46UcQpKMKED/UDyUakRVQJwUBOfHBCZAhsQGzfZXU0BMoH3FJrL/P0T4QXJcpxpA9jSCLG9rFEBWalmHbJk6QNaWxdwuG1VATn158YkGIkBKmG4RdDk/QLW3uthFxTNAAHeSDBBHOkBeyo1CHEEwQMNWm1QTtklATOzujekfOEAlyRhd6NtQQGiPMjB+GE5AqKXscSS8FkC9833rVBpCQNW2Eh+jpVdASkaKzk7aSUBYY6DxzvNKQJq+XuH/bT5AF5eGx73dRkBx2g6DfX5LQKqKx7OcNlFACeoxYiMeV0B9RX8QDl0wQBA/3ZYoT1FAEc4EcGH3PkA3ocmCb3lRQFg0Gw253kVAwFcbWTYpEUBwg0ypoMJQQIBQzcj35lZALDh5lPT0OUDV08vPfUtQQK+dqUEWpEdAwjflkUgxU0BpXuJmxSVEQMHhc0oGsCpAJzfL3NMPTkCSDuOko8JIQCRfGPMAplJAPMAOyX3xQ0AnEnDiVe1IQIBnJ2qzHD5ASETYML1qQ0AlKqJHZK9HQEakaC2qaFFA8tskh3jrPkC5pE0WV2A5QGpRoOu/GDtAQwzXQbx1QEAyAvFaQ5lTQGlIeImfeVJA1EoO5N23OkAw0Tm85DEkQAOWFxAdP0hA1/2goBtkR0AE/6hQhspJQGVlPbcZv0RAz06oK9VoQECXZ0kkwTcYQMonWW70NB1ATaYKzcdvSUAQv/m96AcSQFn29Qk6JU5ACD/pbs9hVEAa9/Jpv3FSQD2V9abwx1hAQFO8iLGCT0Ch2m/tTNNRQIT5beV6XTlAkAmwFtCDTEDwjAg3iTJIQOhNsMc0DlZAxL+L8SbyMEAXFPddMr5MQG1mvrCxVUhAm0V4R18kQEC77OnhlSxKQIOAwpPAvU1ATm8pvhcfUkCH1QZzR5I3QOV3rrR/QCVARWkXO/T5UEBUlBsZEGJUQFeJ6rK9oTJA59VARAB2UkBAwkuPYAFLQHyHIERc8VZABC6V60/aUkC1FGK6tYtXQH9cC62GQ0VA5rMOU5C1VECQZjf/MbpNQFh5KKj30k5AgqwYO6kNO0AyLXmoY7k5QINjfRG08VVAvX615dguVEBKLrllP+dUQEHfYGaDT1VA+2VST7bzU0ByzSxsIQQ3QO7VVVeyK1FAZ6rrA4WqOUCV9rR828RMQP7632yhJUNAK8vf85StL0BNodGzF+1OQDpdD6R1c1hAT0h72s2SQkCbEyvKLDI9QBl68cJWE01AtMybgz7kRkA+04HiaiI/QGoQNChzeVBAJMMw6tuAS0BP1Gza1ZxPQJyO7KgTlVZAfQmqRWijKUDO9gEsqw1WQKG38mxHMR9AIPtmrQluU0A6mv6STIdEQHJ4L/7uI/E/lQ32orj+S0DcP8zIW0M8QDZYN18DKEdAZJj0UpG1QEBC59jCqadOQOAkpCfn1zZAWTle3g0AQUBWRinzgVU/QMfek7hyl09AgktoNvCtMkDnyTWfm6tHQGYqYZNxFVBATFRMKjbGR0ANCw3ufaFWQP2GHIjDzEJAUzY+WWQRQ0CRk/3Nrjg6QIyQTcv59lRAiH9d98OSV0BFtXNS+ZxRQDMiw8KW1DlA3pdoUlC6QkC4xTpXQ+kTQO7JaNGScEdAvLiRlCXFSECkNnoyOTlTQDAsIHEcd0tA6sr8EMhST0BRHW7Sa7hOQDnzAR/HmzdAD46J0Oj3UEBRpIH7cfoBQDr4qat31VhABaQ3qDFlVEBaBu3JaUhYQB7A6P4T0FNAuPSNV4JONEA0EVsvUx0AQLiX2hrCZlZAcIx9uMHoVkAKRAI4ufk+QIfSeJYizUdAYDWvvwk2S0C7dgFBRrI6QCpN15VufDVAVRV+SwxBVEAWgsEhX1svQJ8Rcsh7olNA7187wYwjSkDtdOd1GnBLQLonKKflylJA2cXY//CWPUBZuVdd3JpUQAi47sXJ80ZA53A3oRh3MEByxn1vGk42QG/VC5qByxNAQjYTRkVAV0DtXvrWSGxVQF7qvRi2fE5Ay3V35IrNNUBufdi0DWZWQI/+r5Vw8UpAiuCMHzg5QUDnI0kBvehJQAJojM+NijZAmTTUnl5kUEA9RAa28kJOQGcc0mrSoE5AaZoUH/hbVUD8Nz34/F1RQDe70Q/ioFJAB3FPClGMUUChtKOlX4NVQITbwQtiDkRAgPqDQveWJkBh24xR2fFIQI8gJOAPG1dABggMe5qWHUAmXL96/BtFQFLhhBBNiEdAUGs9asDpWEBA27trDAc6QLp/4KGidldA+Py3nU5XPUA9sjXmLK00QOfs2ZAOzCJAPcgKVib2RkBmZuptkhdAQJvQfAQAeUxADMj5LNziVUBrCvoh3xUkQGejvQK5xTVACkYi8uwMT0B6wUF/5X5PQEbmdoBSXUVA0f0ggyh6RkDThxWLiho5QOh5AvJMdD9AmxQJwHiHTEDMjGEhKuoEQMkua+04QFVAD5SsmkBiMkDzVIJdK4FPQKYikZzLy1FA2AoOFcXsUED18TvGaJlQQOpB2FwMkSpANS6OIwoHN0AZOJGJIOEtQGl9hw5hih9AXxk8n/OZSkBvGVxYbM9AQIUuA53iw0FAtWlnMslkQUBnry3aHTpKQKNaHkSVxVJAEBzSzlB2Q0AcEwyot2QUQLoDZ3z4QkdAcz74QGvQOUBh8AX3CjFQQL3AL6aArkJAd8JS8ZTzIkAgJS/5rgpLQF68a04EHE1AbHXgoTfiVkC3BXqFNy9KQOzv4YpBLg9A4tQOfE17WEDEKgWafYVVQN9yWlx68FFAZNwEVlt4UEAw9PJZAJJMQFZBF0+v8VdAOX/fyebZTECHYLqoEAxNQELYmj2hkVNAMMmEmTNFVUBIZUhxE5lDQNOWbxsJ5FhAae+KRUPCTECUdtCCvPxXQDHi68qLmkBAKKzEs2JkUEBMPkks285YQHQ5kOiaaD1AMy9OI8thM0Dm3ec1QNgUQLpMK10zXlhApyb/NaBqTkCeB/SujPxUQNgR03SMX0tADzaVeq9xQEBz6ZhzHm1HQKahyvnxvEBANyXvnQUwNkCWwAVREN5SQJLxnkTX40dAubPl+WlmUUBkPFcOoLNVQHfXCqZ51FhAItFWo2HnV0DRKDLaAXAvQAYRytDBwlJAz5Gl1nc7SkD+c/k3i5xLQM5CMgQU5lZAM1WkqLVhMEDGbNoFC75WQBiAY1Zk3VRACqhodBIbQEAYDUK3RinyPyhp3dbOcE1Af1pFxmMkUEBgawjkyWESQPKIv99fUTpAB4oXjuT0I0BY7SKd955UQLg/E/QXou4/pkFmf5YpVUAHxEf3HcZOQJFxYNwBkTdAUvkUwAjrUEAxx5yPb7k6QIdVAIcmnDZAcb5iBhPLPkBoC5lEizMDQJm7+voYuUdA3WMZKtgPQEB+SKKyT5hSQGbfjU4+ekZAADatby5FK0A8LhV7P5k1QKFHeRsuLk1AnVjRGbN1WEDe2eCykYREQGehgaw+6EpABrYLwdM/WEAnJx+Vc6dDQOYtiEVZxxZAdF51lVmxVEDqGau/d/g4QIxMXl9HCVhARIxGRPUNI0DNIaMs8eVFQK7o4ZOARkVAgjziGlJ0UUDcgWeNeJVQQOGsW3ZcQQZAzHRkEQ6fR0BHAob9uTVGQH5JQQfg/ENACIYyhPqj5z9D5wFncVNRQBuN4IAJBEJA0pg6B4kPSEBrQ3Tx5uUpQJd6LAQkRzRAKyIJk3AYREBUg/V316BPQAIRVAD5MCNAdiq4zZOCOkDtT3tqLkdWQAhXDs0p7gtAa0dfXvidVUChE6V5NVRPQC0euXTOkQdAOWE0Kqe0VEBqk+1qD59SQBBrJJHHS0hAVecMm+kJOkAggjYlHjxRQL7IlNmWmThADDN5wTAEJEDy4Y/UVRQXQDcpMRdq/1dAyO35zRSA3z9iV+bOx/9LQJnlq5itcEVAD5VrpXPaU0AUXm3oue0xQL59PmrYQ0xAvG2aUO+7WEDod3z87ccWQEQC8uUEXVVAWP6i5tvtUUCA5OPH6DBFQIqsoQ+uTSdAKNxBFr/aVkD6rGhGQehEQEbAMoG3F1ZApASGckKkM0D4YYdJd674P4QrfEOCnDdAMjm7U2qtUkC6tnKT6A1DQGX3JyzjrFdA/bPAeGQAUECryUudWcNDQJTXwNm6PU5AuLwoNFEsUkAf0GhbkZdVQHER1Shn/1NAAGKJfCZGUkCVOA3i378mQPToBdmSXj1AEEFfhf4ZHUBw6CLlvvA5QE4CPIRuQUVAAOCvviFHMT+lTwh1zg9XQLQz/CD2uVVADd/8WwizWEDTJdYAb8ZLQG2oyWYOLFFA6AVKxBZIVEDHS8QxHS0nQNvd4S/Tt09A31nhEK7uVEDABqNKIf29P11F/H+pJiBAoLFpYBSoVkALgy5wIfY5QHD5PW4nU1RA77GOu+K/UkDBFAj+MCJTQP0YTZhjWFRAqmJqGAlt+D+Kub2pyndEQH/s7FvulkZASoOdiq6YWEDkJt7CyPlFQCzb7GMkbFhA7ia0qreyRUDesZQSybRIQDdzHBF1KktAQ55INtTrWEBKQdD8Y4pGQD4F0WIDEFhAnI01fer1UkD1Cg0qwjNWQJ0zZgXyrDpAIeThY628T0D80fcGSVQDQDA5aCf2EwZAFCW08ch0VEC8evUdu4UdQGPUkihwpVhArgG/Jl/yL0CSZbwVsPczQMWnYjWEv1JAifUSDDlTVUD3eoC8GEhHQHneFZ9WGldAjsMju/JgMEAm0bNWDE1XQD7JFhnd1VRAST18HDEJTkBu9K2b80UwQNgiv1H7u0JAH0j6yHCLVkBOgk3vfFZTQGXfxtPJtVRAcz2b4B9BIkCwwl6IV/hTQDa3HuWan1NAXZHqHv1HR0DHzDvfO/tRQHBIZfIswFZAlARXot1iIUC7WvtQGPlFQE93vlrqdE5APDn2UWIdV0Axz/5KbPFEQA+bn2YYcVZAfyna0ujfUUBUQTTQXZUvQGEEGryE6ClAaJnLzu6URUA/lI2JYtM8QFJYFQD8MlhATDraVxMASkAUaeHpBpRPQE2O9jhwSVBA1Th+qgicV0C6WfJH+cJWQFbku0HJxRpAjDO8o7FaQUCsg8SmyaMwQJeU4ViYXldAXm0BYR4mWECYnWPBRmJJQHKkRfFR8PA/iIsQ13whI0ARTxAyTKAiQLwvbSm+dChAyY4DQ9yuUkAQxvUMDiZUQOxnK6380A5AAICxF0pcQkAsHjsmno9UQH8xkH77gkhAhlSCRjD1T0DJIP5mxYhHQBLDxEVRiEpAR3DR/a9rSUAihb42mxA7QEKyXePseE1A8jbwmBLCR0BWE/4vjBc2QNoKtq171RpAXTAzUbfHM0CAxOlNRtWcPz1mqp87SzFAGzgBO+KrVEALMqARd0JDQOpgRjCvr0lAIpFDgenOQUDc2SPztmpGQBUszfQ4ElFAcjpl0VLMVUBv2IBY0uxQQI2LL8sTxEdAqCSLxpuQJUDEuLOX+ncAQLcs6xJyZTZAs8ERXHv7Q0CQyjyaUpk/QHZyesDMmU1AXttCvD7aVkCrlokqGZlSQM4/BFKT/DtAtdCi4uRAQEC63nE9FyooQKh18H7g/ExAxtYgkG8EAUB+4prOm4pYQPr4/81MeUhAghs68VFCV0CoJtgGvYpKQIG6U1un9zZAuCpBuC8lLEB1vI73FIlWQM0H+ZlcFQdAfJeZXA4kVUByx5p0BWpRQEgsRNJzmipAH/Q514QYNUDmEe0Uf+1XQAj5LUu0LEFAnbqZzOSrVkAi7cg7YIJVQH1oUW6Lzz5ApNa2D9bHUkAdPOpZrDhUQG5dOSdIf0JAmPJkKOdJVECvKCqkDrRWQCIwQVPhUC5AcxgTqjYWVUDQ4e39cegYQGhpWiy1ZSZAlHuq8HWmGkCxQFHFtKdCQCQi7Q9tsUNASZW9AnMERECsDTjNNHs+QAnGlujxjk1AXcgD1VoxMUB50jYGu/lKQKIF0eHs5S1A+HY6YwUMRkBc9lWtVzFSQP3QRY/mC1ZAy3y27jdgVEALVp9isD9XQMnr0ynlqVNAZaJF3I5WUUC5sfGurrsiQJJKK5D7DDtAUx6xilY9U0CRG1vTBi5JQP6pIKBxA1hAatl2F+u2WEAUCw/dikNJQEbMLlZ7LkxAoGhvYOBST0BJ9nOPyrREQER7vAsq1TBAJj1i1wEVMUDQLIE3QMVVQCQFfVyos1NAzFGqbZ8ZJkBwFvgZ8JZPQHPUau80IlRAP5gsg+clS0BvaTk2Lto7QFGHKj7rZVBAntBnX/0bNUD8cqVYZSZXQGiaCK3hKUNAIrmyjFrsTUCCzQEBfjhBQNUnmMZBRlhA+xfMGc81MkAgUcc/C75YQHqTefFkEUpAHmdG9IJ3TUBUCzjEdLlTQLDqiKu+QSJAIktYVgHNQUD1EWZxZkwtQKK8CWOs1zdA/j98aB/6TkCiwnbtBWJDQJQk2RyuaTNAbYqSnF7OVkCKI3s2tU9QQAlZHEpaNVFAhVKoo9m2VEA7tc9RK8YrQMdAn7A7rVdA6PRsSSBwVkDwZx7Oaos3QJy4uWIjzj1AKZSLCUBhUEAwaJb5TzlVQJOz9kWb7E9AIv6qOatbUUAlAXaBAHBUQPI+3CHqHFNAYUB6W30POkBcQT7rwpNCQM5jjeXEfU9A1ExmyzyBM0DSzfHSxt4oQNEJ4thygkhA906IjBZgSEDHozko+39CQLq8KwkOzEZA+HyTJ/zeSkD9EkAwye1QQJmlUYZUN0lARUYImtWPUUDo1i54c4hWQG+Yr02DtTZA87poABZ7UECvB/cz4LNEQHhtSbd0mUxA/IhE+W+zPEDTHldFBalAQGe63Ldf+UhATvk4UhFjV0DrWH9AzxU0QMymEeqgoTNAOA98QhtyUkAf//haDMdRQPaI04gv8lBAKGLLWGvkOUCR8Cy0JExTQMc3X1Bbwk9ANzSMdcbbQECCgx4vwHBCQFicAhiHRkRAFKaidHMzWEDWOItMrNVUQN/Ooa0SSFZA3eLD164bNkBgQO4iRl20P4qWz4siTTRAF6IO1/37OkBBdxu9y5ZVQCJfU+NrYkpAZu7zI2imOkAUdq55oBBLQM6880uISCFAr2nhvwh6MUCarpzGugcuQIKvB2wZ7ThA10mUuUIMQ0DT0EFqg/ZQQCwj1+WsXCVAsfgDEEbJOkAHhTQb2bRXQD+hefClv1BAOqUL66esP0AGXCdlN/ZFQLAZ5piZPjtAc28muD4BVEArZS4+S/pCQGELzEGqD0ZAtgGBsrSkJkDyIX6mRutVQDrMhi4aOkRAHEBwgu/BFUCKTYVBM3M9QDTgW36j3CpAEJbg+E72UUBn5QzrlPVJQH4zhxkKNhpAdTklkBemO0Dc5AoPUElLQP0PcvmLL0JAzGhxSBz6UUCK9nLyrxY2QFHnD2O+GkFASKJvMSHJUUApFyrpApNFQKJThehsdkRAKgYIHeHoGUBlrZA+Bx9XQBJ27Ew3+zpAbB+D8XdXNUDL9Zo0v9FVQIyJZPuOuT1AKah0CjewVkAzaEWyGKpQQBC4DsqsozpAbE/9mC4pS0DnVtRF6fpQQK4cwhM/uTBAVuorkqiIUEA7KPmmoeVSQOBUNJZc0DZAdP/Px8jzV0BYtGqPZ4z5P8RFUSBUiFNABEt8BiyHAUDDZ+fDZr00QP7pMO87FkxAoiaCXnFNNUDWI1CQUgJUQI0dWdmKJkxABuL/zvOzVkDhIMX2FM85QFVDKu0AezFAC5EjFyjRNUBgvYzn2M5JQDjwumKXxTpAbOcV0uNmSECSVEdBPk47QE+Mo2uSjVJA1bZy7u+8JED6vm21yh9VQLsCHWg5GkRA/64649huQECwMg+hClpTQOc2w09x4w9AeeEiDlLYR0AFeQDZ21cxQLunO3HqAjdApa34NLzeV0B17/8+rK5TQFK0IvujEfI/SjQEFS2YS0DdvAP1aCJBQMcpb8yLpjVAtuu3gOU4S0BlyEjWTRlDQIG36EWXPFZAODM6xZGrQUCERP7mvpczQG1TtQzwWjFA+G8mSw8R/z8MysnLiDXyPxEiRRQRllFAPvcgwSG0VUBXHceOB3ZOQMYma21/iFVA8zPTsk9POUAON3SyyA80QIBbKGGrWD9AkymQQjIwUkD4I7ogi1JEQLjjC/WGghZAOIYjZsyYS0B+O3wTYYZYQP+ONUshJVFAwoW28k+FUkC/hHGLVP9QQELI7uNwBidAxfSO7pn2NkA4hCkQTHw3QIptYhtPu0hANlUxRENITECKlt50M/1WQIHLLORCm1ZA4pMSrMTsVECKAecyUE5TQBKFQUmkdlVAmHh9Cn17M0Bpd9Eu5xhMQOfeoe5C/1RA+iHSz49QR0BYClbTSlP8P+3NN6jsI1FAjPyApmheOUD1C8Gq50M5QNoiPWnxGVNAWz1hc8KySUALWtBVGNIqQNk3WvJxCFRAyn77jmqQNEBcJqXijBDsP0AG9CjhxjpAjDpWUPxiMUBZiNUwJydTQBpMXBBfED5A2KdiDHTKSEBje1sFxShNQLhh4ryBGFNAJvQpj7eMNEC6RSHUoDojQDos5QcBaylA9/8ugxeoM0BFungKQLpJQDfCq9ixJUVAtydfgiCyM0DwWG/wKZ5RQDwZ3m3Bo0lAwNRDuXPF8T9DBMIrtlUyQMj/SFqKyFZARcAg64YvO0BrVsB1QhxRQNYEHr6upVZAxznyGqvnREA6MBHSzstQQHah9f4OKUdAMMcNCOZHV0DYmpTesdY/QCzMOsMsfDVAUc8DMQ/KUECLJ/GupU5CQHAIWQSM+UhAJDki1h4UMUDExJkAZi9SQDEAQo0hyDRAdNsDUFLVN0C4B15yVgstQOy4Z6+BgT9AfDCuOVilT0DwyIM7YfRDQK5gH2RFPEJAFurl5xRNOUCh4j0BCatUQM8xs/33EUJAqU9Ja/aVSUBtSUdILfhRQED0RiW68SlA2Q+gCy2ZVUBYWwArl8VSQHl6sGo0k0RACmbaLarC8D8+2scXPvBPQFtpCHAo2FFAkHc49oexSkCzwf4xZnxAQHa6izTMRlFA9AgjRFoVVUCmk7qfWKNUQNn+RC047iBAAWrfggtVVkDq9CiJcxAlQJhKQ75IkBBANhWVnNhkSEBbrWhDRa4GQCXjG6wXCFFAPJrnL6W7WEDTXPxcoIQmQBfxsXGNzjpAdKzXas6qSUCb/nPfYZNYQGC65aMB3k5A/Bxv5eqMQkCOngO8rvlAQPblyWg8OCNAQvvd90agU0Dsqsldcr1EQPCh/bjgvklA+vjs2k40KEAP4mibhvRVQDM8J7wi8TdALGUhYhD08z/IDScJdulTQNgwTc1oJFdADlEIY3MSQkCrp9Q8Ik9KQEtrWrMXEjtApNp9nRH9LEDh97RKgihTQFK9O0Q1ABBAigPFcRxCPUAGbmQkaGxDQOZ+0ioXuUlA0nITcFBqUUAo0bTYYUvyP/YnUys/iTtAdnP+ppEIUEBRZ4Pn7XdEQC4hMI/ZXlRAniSYzgBTVEA5uBHMgUlRQBYeNcUWY1NAUJprVGynVUDolabl7PtQQM8kCIII71BAdchuMScIKkDSd4oqXgg3QOZ8buznr1dA4s2woGi+SEDJSBISyxwwQHT4XoKouSpADqiiKyS8S0C1ntB73O41QPLJffllc01AsAbWDkDJR0ACI/Gw1/5RQHBtGkDl+jFAI+eyp8RbWEBnbVJrgg9UQPnAhRm6pEJAS5xf7BCpTEDxHtSzrZ1UQEzLbmSe5kxA/erRYpovSkAjf8nxEehOQBC1ZLXGfBRAFFOa7RRuQkDQGGo4ILZFQAaj19CSz05AZLn8hcSfVkCt2aBV8Z1EQIn3x0obfkxAs5IWk+o3RkCB3sFJUuk8QEl29vWxaVFAZZjKjT3oPEBWPuNHi9RVQPw6Zl2tbkhA9zh4Nx0qUUCRUKsINBZRQPCosKAK5ERAB/uMsHbPWECd7R/t3eUMQGWfqBQE+jtAYpUjmzgRUUDYdxQeARtXQIEGX5ws1DJARpifEDTmOUB970zW9M0gQEb04FzXmU1Ao+owjXrPLUBXXGHzFnNNQO5oVzd6Y1RAIns/QijBUkBRq0HjpbBTQNcVNvRGcEdAQGAlbNxsU0B0MIDgUexCQGgtLrZLZSZADJ3Y2ouFWED8kCjWHkZWQC1hkOLmjjVALWe+0KRYOkBInnyGB/hJQHr8Ew0a1hVAWc7Qg4q4Q0CAHHBRiAcoQGT1DSShczBA2mL1ytLxU0CbBHjfWP9IQDSDnNsn8QZAKqUUir9pR0AxnZOaz5tNQJukaN+NSExAN32MErs7UkBL4YQ4S3MqQJtBdhXa8kZASttSk81UN0COtwCV9jZEQG3XnpZN7zZAtoypoXRqUEDeT2QWWxUlQIXIhNGblDxAUCLqCUMn4T+0KPnLoF1RQCZ9RWOvPTNACSkyD8EMV0BKxUshkG/6PxH9NE9FkFRAmcOGsg62VEAK8LNFm2tKQDFpdKvHLlZAEDyfH/3KQkBEjoBhmAhPQExi1K2krzNAlomRgWaKRECmVDGDkTZOQDxtO1JPq0lA5UpaVwKaRkCP6vAEmihCQPEN7kCUVFVAzdCCarswAECoGhQRxFVYQKq9jFTULFRAfVZ0XsolV0DvXGP+WrovQOpdC/E9WElAtfLxs06vWECJX2cDP7IPQM7ttqU4PlJAunkbjkbIMEB2VMbLqx5IQDIWsTtc1ShAJOUJkiE7VUABBNDNHvpXQP/G0rTbvVRAJ5v/zdGnREAdL7JBIhtEQPbqdpXR5i5AXN9hIJCoTUAWaDDPI8VRQOOjSjKb0URAOuv3cbfAVEDsMpEp+TZGQOYRxe1gFFBAChpoYd2EPEBRcmgCIWFQQL9BiPF3fEBAPagVaKGVVUBWT0FBbLNBQATYSIRZ0EBAV0eVetEZN0D2khF794hUQNNwnNNTv1NAjKFDjjbhV0AZ9teay303QCTvLl1TSlBAyDjF10mXU0Dglf8Hz99TQAeL0QtXsk1AhBoOOUueUEA59TKXsDFFQHFjRVYVDkVAzfhGtuJPWEDD9WzyVTk+QBAc2qKhiQJAa6eY0hNQQUAI2RUA76RTQLElnM33ChJAVyklAnFLLUDNqMWJSOsqQJn8/doeCUpALhyhMb0EQ0AUPen/pI5FQKG6TDrca1hAASsYELX9WEAFFkBWFMdLQOnRamoKolZA4mZPfFDVR0A41HdyEFtLQGLScpJ7G1NA9seHITAXVUCzW3vZ9acoQEa6LNlUAzhAfHqSt+ivVUA7FoBkhgFUQH+xIHewtVBAwNjIFtSeUUBobeRhAwZJQOT8QyzHY09ASji6K5BvQUD0GMUTK38fQAF+E+AuO1VA7fKK14CDVEA+vAKgchREQMN3tFDAEFdA8Y+8AZjeSkBNTs+VbvRXQIebkiJSST1AM7MFnfZhNUAD3OXz/BtMQHxa1codNTBAdmTdIhm2TkCs0gGtJCUwQCsMSOrZN1NAMX/Bn0jiT0DTqoQeMkUrQInV4MOVqEdAa8nOC99RO0BgGc1Say88QHGgngcGlFdA/E9lmWh8FkBTOWYB+nQ9QCjdeSEbURFAq0xnQ9oYV0BtA1vUKMNKQNBRlMSe3jxAe5v897vNRkBKE8izZCFKQIGSKFwM3klAoYureOHzQkAqGXUZ/mBAQJUDiSSmh0VAH9mS+/j1P0B+XdTpyCFTQB2h0ZwfRjJAaARFV8TrT0BX3LEHbuEtQB5DBeHDvyNA6QEsxnNTSUBRfrJ8MpxEQIlozyCThldA3OV36JYZTUAKv8ToH+YSQCggX1Vm/FdAXzHkz6r3R0B6m71DvtoVQFbWc4BbD01AsDx3KfLaDUA6tpw4ZiFSQN4Xwx2DAD5AxxKnZIm0VEAB6dIfH6glQCM7Hk80FD5AEfu2OEUURkBk8Y8VGVnqP5IiXx9J9TlA9ha9l8vOQECTApXW+mhXQGbvFiwB50xA4Bh0ZjFsG0C8cEMdKVBGQFdTqSIOhlZAC+urJeazR0CaJ45TzesoQC6a94atTTlApX+SyQ3rRUAJofmel/hRQCLKIPHFW0xApRBDJAXuV0Ca5z3e1tY3QCUZnDbKAUVAINQX2NeBUUAlY2st8jtVQKooXMh2kEtAbK6QcKF0SkCQmfTHW39WQJ6q5PrY2FVADMLuQWmpLkDqahSHlz1BQMYcdj3t61JA5HZ6sI/gVkBli3D5EsJGQFy3i8OM2kJA67F/pOcIVEC45yhIaKlLQAYV4XS8n01Ap0WuwPfbQkCo91l5Gi1BQOv+AlTt5ixA5tOHKisWQ0DkTvOx/MlDQLoDvn+9nUZAjqh8977UTUDBCm+mo9xUQB7eMdMOXAtAcBXqnr/KU0CnoO9IqLZSQPQdTqekXFRALaUtJAooUUD0/kVp+udKQDDHfylHAzJA/E8EzgVCSECWXqtJbY5TQOVLUkLRZVBANmPAhNt8U0BGuJz74WxRQJXtAV6emVBAxIj4Sr4XWEC7rICjZctYQHORa9kJl0xAtFTxauS9UEABX2Lysr1QQMp3fYzHwlVAWJG/6htkHED5+Be8C+BRQFgrV2/BnxBAmFuZHPUHVkA3NwUKpBE/QMYi7KV9+TZAoG6opZufVUAp5zq/5qkwQH36PwepcxpA1CiL9guMREAneFzlXSUJQN49+LxbACFAQaCgd2ukKkAmobucFTROQO+MnVbSw09AxDr5hcSHOUBv53Ssi0ZRQD4kcJD4Q/8/Hw32DVFZC0ACYTCf4o45QFIfvarSAxJAOH6z6D5tPkB8Y0IGVF9RQI50ptHNli1A+1F+FNS/SUC5O3wbAetEQAcQ25vVeUpAjCFQKcvjU0AwF8IUzYJRQJ79+cVGxEhAfHbKLuMtRkDuBmPaPc46QKczjvH7LzZAb8elN8cfR0BhWPnyyFEiQAgQFcYcwUdABYt0gn4fTkCvUHT0DhkgQNxVt+uP5uM/GgfyMyqIQ0DKE0GE/1dBQNv0o9F4dEhAxxOMguQjWEDcViPvFlYkQCeXub/9mC5ALRNFMPY6PUDhfCpWMgUXQIgtfJv5lyVA07P6Q3HaR0C4BWeKP4cbQHsts6LF+kRAqja7Ps7gTkBaEQ0EvHFKQHzheegGOBNAdtpqlcvQVkDWvgoMoApSQMvauN0q+FJAL5ckIuVXT0AtsRs8C0o5QJKsmSTLWVFASwfTpr0gPUC8nrAS8CBEQHSL2f9MPPE/g8tOkkdGIUDqOJCqmnYuQBO6mUPce09AJE8Nv1boSkDK/eqKe9VMQK5Y1qub/j1AxAI1goH7UEDsg5v2awk5QCPJne65wFhAfvRaxyviNEBsWNaSgqxVQMW0V79O7C9AeAkdRYivUkCnMqw4gvxNQNcxVYnF01RANof3HV4zLUAKUymbfehVQDoju/va01dA/FlHO8qtVkBI6CmsMHBQQGcbQvzK41dAFleDb+Sj9z+ESOFECe8UQLWKI3mlKldAYJqz8M+XM0CBqm03wh5FQDDZSN0Jkh1AGHjq7/DHKEDF4xSOUpYwQFyYaWXV3lNASjW+27cZTkBBCZ3SiE43QJx/W1bS10BAvElJp5ShM0CgYOlE9gQsQNqecLZ5XVVAs7H6k8neE0DRZPp43ndXQCQd1ca5mz5AYhFO10m2RUDvwE3VVR1GQCu9XJdhsi5Abj63ZxTOLED9DdtXv90zQP8u/je5cDVAjSaTM803UUCFP7CXH30fQD2wVqoxllJA0ti2KNw3TUDQ/STHyoVGQLkEEXWz8VZAdenVvU5NVkC1xJVjhEI1QOkDxGXAqilAVCiyFuXWRkA9Uk/agSJIQK6re9YBnlhA/Mou20R3UUCTktPl5mJEQD+MTeiQ71BASrBtyi8hVUDu3DqnfIEvQJJ2gQy2exFA9hshwYfaOEDm0AktqyVTQCqYJ5y7IldAUST/eC2SLEBJKqbOo31WQBQMbR10NCVArrGxzn/yKUCS4++Xt85TQBLb/gad0EVA3Nv8rE7AU0DckUrsAKhIQH7vLNaN5BxAHqJRZFkGGEAJL6PRnXgOQDBb39D2KkVAntz71rEkWEAaxFqF4OFAQE6WoNXQkDJATo9EljF7QkDMD0Le7LlQQAzyKZfy5VRAxOaDbntqU0BCQSbjHclPQNh0O2/z1ktADHP6VHLVOkDkzP7j2R9TQNYPrH+Y0kNA7U+E9dUzV0CNOO/QvBlAQIOaU108flRAAMNiIHCrVUA9B/ms4YFTQMgQHORaZ1NAELCIUO9hQkCJ2aTmCa4/QAADnsXTbVZApDa/clSDU0CXHdK/q+1WQC4imwhS51RA0Sg+KxkgMkCgQ5Vk4xpSQNrBieP8lFJA2GBXhPyOVkA8+J1CKtJWQKNdo3r0kTtAkEjbTeSK5j/oB/Yd6eZXQDB2u4ZiMClAeBd2Yry1UUDW0ZYjksdQQAH9mtz6y1RA9IbMU/WsKUBg0AxODn9QQNFBCzZaDlJAOsDdD091MEBJzzGzMVgwQKLdV2cDcCZAt2BH1bDIWECkbthN2YREQJT0J5Q4tiJAfT5cmt4KWECWSpl38QYgQNo5HEiBvUZAu0ViYPTIUUDnVlbZaPhKQNu5zFC3K1BAsnfEudOgVEAn+gWkpYtWQJVd6SHROkhANf6e+OECPEB/x2NJ7Dw7QDYxXs6/IUNAUJfsExoFU0AWMFADyUQ1QO24FMq1fSlAmUXOaNdXRUDe/024XyxWQD6ttEfMnStALEAqbYbYVECm00DoRKVFQNl9kXDNiENA4NYUCRwzJUCSZcfQLgJYQC9MfNEltCdAwWvTDtF5UkD86+DD29kmQM+esSeNiDxA/qwbOn3wPkAdwq2cuS5UQOSTplCykCBAAHLe8tpMVUAnzFAf8khXQMa4wF1jPlBAbAiZAXFWT0CfSwssMldRQLdbJzR+ElBAG7Qj02uuSkCPRFGzf4hTQIl5hktjhlVA0NG5PucmTkDBOGJhsKtSQPOrD9M7iT9ABN6y8c9fJEBnC+KOKptJQBa81o1QQ1NAXf652A0+VUAhi7untpIyQDBgQvf1tDZAawrLMVekQ0AhVtJocpRYQNtewLm2dBZAaoHipBdmUUC/JkYiwGhYQCwXBWckelZABZNL7T0+SkBqP+aBNalAQNlwZnFUVVBAwjKSIGfKL0BwXMG9onUWQL6YwEaPnkxA8Bivs6ooSEBoUHq5AEIvQLT0GkUkPDdA/aaIWLOSSUCMPOCVtwcjQJRTSYv861ZAYzNES+EpUkCPZjRltBI6QOGzGjNncUZAopRv/Pf3QkDqIOPxf/NPQOgTj7eM1x9AGqF+ZpydFEDbzWIok5lHQO3KpbTQF0RAWBCfyKmgIEACSxxa98YRQGLEb/3A+zFAznJYHXyWU0BBPRZyF/5IQJ9NESEVRVFA61LBA2SLSEAUBOIOi/xIQPPrGmXaWlZAsEijuRMGSkACTIc0fmpFQNjkVOyf1DtA0h82CuStU0AoSqbj0TktQFROMUJJH05AEy+lshWnTkC77DpPwAFWQNa/FTdYJFFAMujQgZWyUUDF9scNaKkwQCpXeo5Wp1JAs7C5IKs7UkBhYNomxnYjQA6Nh1p9D0tAocf2SuBiWEDnjpgizMJEQG/j5QHuFlhAkx5UbvoCO0A7r6Km7NZIQMlXOIece0FAm5wOqn1NU0BK1f3vELBMQNfHKHyix1FAsNQiLy1XSEDWatMEQiBUQMRY7Mp7ZE1AkmTzTug0OkB9wvYi+GtBQD4ecbCU8StAUUWlUANoS0CTgpmjrJ4sQOEGN5ycMUxABYFUt4JAVED8IoFJQjE4QKezS2HdZgNAnOZj/8QqVEDU3vltEw5SQPoN2/8PokpA5TtPd4SaPUC5W4txd11AQN+KsQLKOlZApcFz9xPMN0D9gCdIZF9PQFX5EEVaKlBAyPTv2LjBTkBYI1xjbA9RQJcSmCEu91VAzyow29o3UEBIdwMFQzk8QMXIzOdYmj5AG+tz+WPgT0B3Im012fdEQPcn1fNqh1JAgjXqJ8Y2SkAto6ZuzhNWQIJIaZGenUJAlWzuc96QM0AiSvcNXUI7QBUUfesWnlRAndNRPjMBR0CImS1JrQUWQE4NomJR6klAiYFZX56iTUCdU9nJagxGQJ3moA+hkUpA/7w8cb6OUEDt0ILr9FRVQOIrUbLLbVhA9NkHUu4/UUBSlKgEfelGQDY2hLKfchhAz//Vm/iGQ0Cwn/nq75UoQKMHBsdmICFAzTmZSVrJVED6KnKUV+5VQO1wp8uLmDZAnNlbD7UnV0CPkafrp2Y7QBxx1EBTS0NAYpOKO4SwS0C5Y4SDFgtIQBKiMz4a7UBAt0FSGpu4TEA//LlYVCBVQOrT9NtGOxRAbLvHf9QuN0B6GlI4jBYwQM6yVXcvCjtAOg8odr6sREA5fietj+IPQErm1HHNNUNAiCR7lCtMSUARRTbmo3lRQHHN2/GdvTpAIP/q1geLTUCSkpt/rI5WQORqUEeLkUlAqiTb/UsKVEC555uOca9NQA7mgurw/jVAh6clrb0eP0DhtWmePUxGQB7vD5nBljRAlgoz21M8SUBsCF4KhdMAQJ+uYC/GsA5AeNyc/LVgPUAtn+FREpIaQK7pealyfS9A9YNJ3iAEUkCAwUkfDeAcQLHLeKjcrFNAdPJ1woVCTkAhPc0Q6SdXQIcwW6NYQFdAQtVP2DwEP0BGdJ/pKh1VQIOwg4Hv6VJA/WK/aBDxUUChRSu9/A9YQP8rTBR/DTRAgEkmH9v5SUCrwtkGF9pUQOfQvh6v2EJAvCTBKNC/MkDNgazxDv9QQCRwb9FcjFVAChTmvE11SUDxG9pbDXpUQDAcmSBD/lVAUtR3EpwUSUDVoQTWmllAQPx6SgHzZlZAwNGlQptqOECpl7+jrtJPQBJiZmIk+k9A1nWQBqS5OUAcb5fC3kckQM0FXQlyB1dAkNO+c80xVEBFYAiM7cY+QEaYT9PjekRAFoNpeNkbQ0AKrPXdDfY/QGrIE33FNVZA6SW5/BACVEDnaLVC8eBXQGs5KgiVkEBA7swt8+POJEDWmv78ClBNQGyL3kqEQUNAj7+hXaCLO0Ak3ajCN9RNQEJt4uEk4VZABL4jrMHvQkBDeHyRSmU8QD1Ex8ESD0NAeGGFefubVkBKNTMcUipLQIaqrlykbkJAdqbX4PECTUB1aa7Q/KotQLsPMr2qND5AETK7Ot/ZSUDp35QvMA81QIoGI4LP9FJA5lHmcuqQQ0DxjiObUFJAQLZWhvL/+EhAZ+1kzPjfQED0Q7h/Xp87QFWRQsoHqUVArxcLs6RBQEDAbpuISfY5QIfzaQZWN1dANCrqsAR3VUAE3n9Gzg1UQGkf2DG40VVAQ1oFhX1TQUDuglsXAVsnQBN49+I720VAxy8nUNIdVkBoK1DntXNYQGoMUIYvpUhA/7s8W3NRPkDyNAV93wBIQHB+nS2eUVRA+IUr2afNWEBAIXsYtkeyP3qPeVBntjVAfxFXBf93RUCJnTeEddA/QNucF7FBYDFA3u6ve/PXMUAtPhYPHGBFQIJca9SzMzRA/6Zph9deSkBe7r2xkzFEQFWeVw2e3lFAA830bNUvWEAnXrzck00kQGnhTX4p71RA+HTQtZOA5j9IKXMuc0hRQLATks6c+VdA5+WoC9t9Q0BWSZRAg8c9QIBO9h9X1lNAJxJHLhNeRkCQu+ooBohBQFk6EujFfyNA76ag87T7SED7baRbcGxRQNCfGZrMbVJAuNCGx5gdV0BgAjYP3tLfPwIO9ZTlM1RAno4As5OOVEB3MqsuAixIQO4jtvAk/z1AHCEUJHqrMkCTQVQ5fKtMQCsGoYLJ9xFA5vxQ6WukU0CtBhOoBA1XQMTRDO5ujkBAuTCAFRjNRkBBHtnFjGlVQOkNuZ9JK0lAgD9cPAtDrT9YINjVoHJVQCCZyaqhHzdAKU7FD+r4UUATIfLumnlJQKiv1/iy21NA+ihoypnNNkDuSKKoC5svQKxHXRCe2QdAkOzJX+T0IkD2MsgVhys9QNrzdUor+lNAI/yOSe7tF0D7eVY9cCspQGclAj1PEFFALkbKyhJYUkBJjDXT04dWQOJo7vTOu0RAP6C82QWtU0CqYdmxJ/0WQBUlS+TjvkxASE1WqrfVSkDu8Dvh1xtVQKeiLR/tf1RAsBNFr34UUUB31zrZjUNKQByQ1xcJ+AdA9tcA/7CPVkBe3bQq/UI/QAQL/r6FqDhA6ivMHULIVUC8EYQekZ8yQCxiAUzl5VhAcxn4y4VlS0BfAbm8LuNVQMhHoRnNtFFAbhBEBzxURECxriEAFBpEQBCbXMMfzThAffZopDrUNUDH7tn2NcYDQMEhG1COOS1AdxO/xI3DUkDeAyRhwM1EQD3zI8gzh0VAyPzWDTGXEECLwXoyqOBXQEhVpQQUBVZATlCypDHDD0Cq/LTqbBM2QJdxZhF5CDtAeogsrmGEUEBjh54kjQRQQLGq+JDG2DhAiatMKIf/PECLjkh9UTpWQL7fgybYRT5AM9jK4Ug4QkCB+HTVkcdIQAOWnoXLNEhA+y5HcUlQUUAAUgC6s3Q3QFzIZX/jfUNAv5TApGeiTkB3Z0CHuH1HQA5xTOpPGU9AyuGZDRh+IECl9pQORwVCQNvRrZkMEVNAr7A7DyZ2UkDuxkme9tBOQF14YrHhlDdAJifz8bEO/D8ebmhJa1xEQC2WPWy35FRAoXpcwdf4VUDM9Wgowc5OQMum5EFWeFVA1asrspCqVEC1BSFJ++M3QGj0ACyeWUtALV91sQPaWEBAEvLXFJFDQIxJMQkpgzdA1qrQSiU+LECP7H/J3kRFQFi4uPYWgVRAsH29YWTkEUBfmj0IBmxAQCeiifeT8U5AtTzXLJU8FUDlGzPZdoNLQIgl8MRtRFNA39s4uP4CS0BoYF2TtnkxQBdNF4Q3OFhAufoKkBG6U0AeEA9Q3y4XQKEFARRL5kBAAwqC1u8iQUBeTKy5dVw7QMpJh+HyalFAnr4TdbkzU0A8GTcCpmhRQPee+JznegJAS6snx6lqOUCOUVLuwBZTQIb46fE9TTdA8GaI0NcLUEAMLT+rn21JQACL2OSJQak/0wRWdh4hUEAm1CGiqeJAQF4hTCwSrBpAN19Jg7C1RUAiR3GKXIk0QN7ebdr6pVJA/GC83MI8SUA6+QcJKJxTQOYCQY9zaz1ASLn7cfaENkBrfK2LjCctQDV9tl7yIkhAhtQrPrXRSkC6wRWqsM44QLtQUR5RSUBATasqVEqsUEDiEA6xCykzQO6DyZBG+U5A2CKioBf34j+c5192UowlQCCI69UfiDdApiR0IcNgT0Co6ik2H1Y2QG5X6wFd0FZAsAxaiv5ULUCYh3pqzA1WQHx8eh30jVBANaqtVlyFUUBmV2V++dtDQEcK0w6XW0NAUnqxTm+KRECfJvzGsABSQB4vjpBQ7Q5AeR+9Z/gNS0Az55O2GM5SQDaxOQiLSUpAJxcY0sEtBUCV7yJqkk1UQAZ9rvDSglRAHazdf9XKVUBi7c5lcDU7QK+vk8/ykD9A87H1fwezU0C03mPWJFlBQFsnj+68bVFA5KLjhSkKVkCVf9PCRf1FQJ/SiOXbQ1FAhlm0btr4U0DnnYJYxL07QOx5t4332k5AADyFT9beV0DCj0UkxrJPQO+VuUnTTVJAyj21amdyUkAQvbDrfcVNQGkMYO44KTJANLq3o9zcV0DxcRjrQQtVQIAJExuIjEVAK0pTWK6vQUDkU+cLvII1QOoKRteWxDhAuGWndMyTLkDcz3bqeLM6QIoWC/s1TlBA2xiTjBLpT0AGT3WqLCNAQNbmQmIq3DdAvdABcxLFWEDBS1iCKmdTQHzcLEGHIzpA1Cc2Ne8XIkBXJjbUvrRTQFUF9OxQ3FhA9FCJvCE+VUCyEhQPcf07QEr4fjeNr1FAPgdiR2E7/z97IZNnFf0kQKQeCSa3zFFAQCevHvRhRUBEfOSNHC1MQE1IpEl5PlBAqLwiuGJPUUCo7lGpNs1LQBVjUALdc0lAzpEj1WMAR0BDnkNwVe4+QICS6bxeuz9AYc8eNx7kVEDBQ9vSVJNJQEvA57IJV09AdWncrD6rSEDpVd6mCmo7QPltqFZG2VVAIYKE3k2xV0BO8gH2C6NHQBjhDUXPCFVAmEabPBgpTkBLwl5X8mlGQEoWVZzykVFALbxUoY/3QkBzqVd7ZR5RQLgMREzp20xAhDSSAeJkNUDkL094u6RSQBRo/a88xVNAVoZ8HK4MVEC3XoQexUkyQH3n3hGYo0RA6KSXCX4vUUAsAo0sdX9CQIR/Zp95k1dAfCEuZeLiRkCchXp3oiY1QFMuL4u0uVdA1Vj8uKgaSUB2byYKurlUQACwyMLydVNA28HsHL2FMUCaTH3iu0ZDQMmj+GXvWUBAE9U8fnKLU0BJ6cavdVhLQLCRApxF5DBA1N0OM0IfUkDiOG1I/ntNQOAghBXMpFZAv5eB6exTU0BiuM/6SH9AQFDRB58fg09AwG2nRb3lS0DdI+bxxaBOQOXwYa9ASlFA82B8t1seNUAMpeOyR4BEQHUmsx14gVFAwl+q75QuTkCLxh1h0vVOQB4W8PDSuE9A4rvjNtA3TkBAHG8l684/QGa7qmjtzDNA/Uk1dNUsQ0DaYlsqAn1AQFoJagn2/iVAYgGckN3PSUBibg+u8INJQNTTLk7YJ0tAFjOOPec4R0DbQu48ArxBQBdIpyFKjUBAYlYmFsjKM0DjPWQZegxXQOAu2T3wLFJA/yXVpKnHTUArG/lG6dNQQNBIPOw1BhxAq9HrZIIiSkAaGxDBOmFWQCtHT9xZ+FhA/yTrS1omT0Dvx+NFOEYUQCVysSTSGlRAxWhElRuXUUCC+vn3lPJEQPDF6skhuFVAYVkTBICtVUA0XTOmUsZIQDAYfHluiR9ABAU9CqTSTEDZ02iY5qBUQDHmt6zN5xRAW1Qn0hiwUUC6itiSIslKQBeZOwVTsktAwBR/+UGiQEA4s8DjZzMdQOhVPw8Tm0xAO5nOGRqbSkCWwu3XD1xRQKkmDeKXEUlAv5+y7gvVUEDAmM+Vpr4QQOjEFajWS0pAIgRajQ6uSEA1qYNxJd9TQLfBxZ0NlVhAHtp8UrUEUkBLvwVSefA7QMmLQRaWc0hAgKqf+gjtU0DSaDnsWvIsQHfDhxjAu1RA1TSRNaCxVED+sJriEfAxQJ7N795c/iVASf8p7jvZFkATlkfrA31RQJwtuz7xTkpARHnSB1XGFUBojB9L25tDQN4sYymAfj9Adi8o9u7kNkCE7HSVk8xEQCVVmuGRTlRAV/1f8MkzQkDMJiRHPvhCQGH7vZw0lkJAuHTPKvKASkD9jP/DyLlNQFYALzjFs01AYFxV6HhoU0CudbVksRsVQAz+1ccna1NA4J6Lv0FsJEA3ZPjqkCNCQPKF7EareBJAESpDYAh0DUDZFvbEqbBJQNSfBTXeeD1ACWSvX/+7QUA4ZlJgVXVUQEmIliegRFRAAjSFISoDN0CJ6unQfopVQDgSBXk+I1FAo+Bt/SDYT0BkG3j9+yFMQGArj1gtmkdAwH7xnJpOPEA+Eob9KxFNQHjvkssii1ZAxvv4E21IUEATJi0jnXdXQFgC89AUcVNAhj3KZF1dS0Cab/z80CpDQGSyqJJRdkBACsjq3Y05O0BSfPX0fvNQQKLP6hh8H1FASVMysXd5SEDQ6CgU11pVQMgOshve6lFAL/lA+wZ8PkAhmUCYnXpBQAMwVIlOYEtAJvawNebLGEChq2QKiTkoQFg7R5QL4FFAetPImaD5VkDmQDSEeGsbQJwhgN8GTUVAyomFyllBT0ByZ466z8UfQBkxOkpcs1ZAKRz4AaPmN0DCH8Uw0c46QOkezrxh3VZAMjwwn1FbUECIWp0Y9cZUQMuJAw4twjZAmjgsbu5zWEBfaP+p4hdUQNrRo5/UQzhA28H4LR87VEBueU7EeYJYQDf7MZYHolBAACuRBuxfKUBWod6k+qpUQNqZMMlpZSNAhQpzBBb4UUDwdsqb92JGQI5AkQglyVhAkdkmCmOYUEBHC2OQPmIUQMdwzz+jh1ZAo/YAvlTcC0BjHmWRjqA0QM8TCxJIFFJA99c9VMQZQUDAqkYZmsZIQCMb1ZYQJ0FA4TdtIUKbAUCQnV1swQXuP75/hnK69CdAxsmUkOB2Q0AJ8NHSt7BMQMgqQ1MhDydAnHoxboaaWEDUdRRtAv9WQGI05+40JEZACDicw/VoRkDgiBpbP2I6QAoFBoyHn1JAEA2YgVpcQUAqWgAZqMYvQKFA3fg7kFNAC93QwVh3P0BC2IrcfoVUQLYKIyk48SdA+CrlrvxmUkBoqJ9RClo7QPfJGosKJlFAcPweBP3COkA+UR6zqC9UQMIH32fJoUNAqlTDYG+8V0AvrfujCYVCQIGBc+YDXFBAINpWghO7P0AYU3Gn/ko8QEDc3N5DhjpAAcYjVfoeVkA1Ny8Z8cUzQBdCKyMMRwlAqZ7jNdk6VkCeSBG3WrooQExfZq21IUFAr8GS/AFlTkC9uT61Y3pUQF5ySYgfY/w/kdiJzhDwUUBMBVlOuK1SQGRVXlwzUlRAJmh42RBQHEC7n3hW8ClMQC83QGSJu1RA+sJRXP4xQUAMdOuetzBQQPd/4eh9+0JAuuGbWTEdQkAWRa2ELiFWQMtI2Pi8qz9AHG4cjgIRVUBSvGGVT5MzQP2qcvbVjE5AK8545vw0PEBTYFSpUPBXQJBOzaC+mldAjxk/5AlZJkBbnVDipp48QEhQbqAVRi5A1Wchc+Q6TEDwKNFGTzNRQEj3ZrhH/xBApqfBzeORHkDb1M0od0hMQIjJ5qFD6h9A3VWC6XpxTkCRuwVLQPcrQJls6U6PQxxAjjv8OWlIRkAa1RDGR7jxPyt5OqujZVNAqVcaVP0JUkDCnrOyQOtLQPur11VytFVAhoJ4QfNiUUDWb3/en50qQLpmdeLElVVAeaewsjH+V0Dg3pb2kSlUQJs6+p906lZA/NVQhc7KUUD2j5qQw6QVQMiu/L7rglFASwkjjh18RUCNOH10tLlQQOvVJ/VOzkdAVmvr+7w9QED97/UN4P07QH5RBR1oCVNA1XMgxJb7UED729+etE5AQLIYkO/DOPg/WUPDE7YvQkB2NH4mxjAmQCjbUuqHDDhAkwv3FOxsLkDP6idP3DFQQK94r6hfOiNAZ26ty3JKHEBZsh+zzjRYQHmCrXdBR1NACqp6TxapTkAJvmahdc8/QCwMYwQn21BA7HbPRl9n7z8c9Q/trARRQDDuJIpsWUZAMC7STauBJUD7SVgV3FtHQBEI+SSFVEVAJ2tSauMeMECzAUldAKROQL9tu7gjszBA+Ap7x20jKEAmt/UKC60/QI92VLVCSlZAWaRwi9+2UUBynouk16FLQEJx5wBk01RAMr9dwHT2IEC/vINsEDY4QEteQBC+7VFAjuFYvyLrVECqUP20W9c9QMq0W5EAxlVA4bg7twd9V0AZAdeDZy4tQLls7EanwglAAxvxuzvEBkAVriVNdBVOQHsSAwEpnFJAQDyAIDZ7P0ANCoiCOdAwQEQ/9fhBBElAdjwU1+mpVkBTXS13pdpWQNBrrjO0PlJAlPdigQFGVkBGpObjOZw5QHAjk7LO0VhAnL07RzvfNUCd3UwN3HgxQKCCibG1BrM/s5ypPDMdRkBW3NxXBtZVQE5WSInFKRhAMv1sfQ7JMECsSqPymc01QJNH4K3FqlVAlB7zOlwoUEBz7J1frE0jQLBEsZjF7FVALjuqMCFiPUB2JAhy/VFLQLjplIv4+k1A5K8eFYS4GUD8vAt7wx1EQPE9bOHyZlVANPb5UDlFMEB0WFAEp48sQCouSLSSxldAKyDs2iUQQUC6947bx0ZQQMm67fPUAlNA3B0OTeqXSEDcRLPHeoUsQPKyCk0ab0lArW/RsTXrUEAoCf8QPIxDQCgyiVjcRlVAszM4W+G+UEBgJ1j6X4E6QG5GyD7u/VBATdfLwWTSAUDfDww3HT9QQLH/5cIsj0VACuLk7wKdUkB3xuIdcaM2QMboQ3XxkVZAm6gkNs/qWEB1XJrGVMRGQF3NhLCivFBAbjoqd+N+QEDz/oIh+YZWQPYGK8gzzk5AN69JM874PkDukR2GCWYXQGeUNWGZjzxA63O4j5N5T0ARCnXEba1HQG2dcVe7IFFA5yzW/GUjJ0AEBNdqZDhYQCOCM9Xr9ERAdTREOKHeWEC8+sIPDnhNQJuFw7EeEVJA8hwIk9K99T+ggO7mKWtJQJACu7SQwiJAPe61JrmvVEDwSJtoPivTP8GOtDDT4EBAaArZCd0KUECTdM8NZVdJQAdqGgimxwJASIMPwwIuUkDLBgdytZxOQECvE/W05jlAe5nDVN8vTEBzWEad0qBCQJE7Lt0/JVFARwiwJGRZPkBaI4cDbEv9P9arwB4OnVhAfFox1RPoQ0CQ5TxAthJXQHTwYu9nUFBACNVnDAauT0B2QthoxVFQQHQZFBBhelRA9gfb9WrFVEBabh8WS+pDQASat8hT0SRAT2flNxOiVEAC7pR9epYsQP0YnQZzdzxAAhPQegwdKEBP9cd19y1KQGA+50AfsUNAWDmp7aJiCEA08P+RR61UQCsxLOblcVdAEFyCrGdjB0Bdqfv9v2MNQPqTkLOa1lNAuumkGfgQTED+9gEBAUlPQGSeWBXd6ERA5nE0U99IGUAcDi927SJEQIgyZwbAET9A2+HKDWgFMEDLpgkFH0ZNQMb91wei9D9AChF9uC1NTUDKiFjohwZJQIt0FY7vqVJAyOc/anf9V0CriA7l/3tYQMzfFeE/IVFA0coFLRgKUUAhW3thwcs4QNgd1EYijEVAw69JcH6YOkCNRWD7zslNQEbtfC9KAlNAt3lZliUcRUAUJh95GeIyQBZt5eXoi1ZAcMXoQ+6CWEB7LGxCrhNYQGes0sZDg01A2INt9rkvUkDjNISeTbxEQI9K8GyprlNAyuRpQNZGREAmyGuQ1Z9SQA6YQqrR8UNAH/JC6JowVEC3tYYbsppBQEG3OtZWjTpANyRG/cctVECQdFMHeJI3QBUopCTno1NA/a+WVBFCPkArUaMcFg9SQAv0Cz9cM09AhK1SGdJ4NEDG6dCv2fwYQKeKyzLexlJAJXKfvjIRREANGxu1RmVUQFdZbn+g/VFA0etpmhLSPUC48INPwgUeQH3gTQiXTVVAl5MgXZ8zWEC6vaGRSfgQQA+ILo9c3lFAVHpLr8/JR0A7xI4m7uI8QI5MG8O7CkxAZ7/JYKYpWECfHrUk9f1OQAkdHYjC5lRA+k8GAprGMUDwc/biIVVJQNUNFMC031FAel7nhnBLT0AacH7VUsFBQNZ3nn7luldA9XDSHeYCTEBcaFodALc4QFlLm5ZixUZAUwDoMe5mUED+qXhEz2RUQFMT2GEIrhJAuDLC7/PdVkDAkfLQuGtJQB16GrpdUFhAA0imed8OVUAeGDb7qkVWQALOmMbxpjZABbnqRtvQUEAi+vA1/uYjQP+K3GM490VAiZu25W+hOUCQw0tDYxFMQFUXa+a7Ak1A9Nj+awirVED6o8r8GfhDQMoITNlyskZA1LOhnDmDFkAPn8LrvAtDQMZHaCmFzjBAUAuLwIV7TUC4Gi3+hkIwQHm6eUf1HgBAc1HPHscLMUA2A/aOafxUQINsKgeD/1JA5rsJmJehTEAMK0icd69UQLK93zblYiJAl9Z7TdTzSEAi/2BKE8saQOhsdSN85lFAgZTs7OI8U0AXBTbyc21LQHAjodVDVDRAHOEZPbPSU0BTkEDgbQZQQC1XuOL6olJATiCudkBtF0AHwj+EIxBVQDAfhOwqpDNAfWOI0UWQVEBAZsuU2tI3QLUhEcYTyFFAXJgeoZ9OT0DEHcyvSHNMQP9+lPcEpzJA1JPol32uUUB/4yaLiYA/QDg5BRaov1ZAYJP8K+vUMUApgYqgzLNUQLWA3pkJSUhALgr5UUkYT0D79VzhOfBXQJXnemarGVBAm+SWrgicCEDB9zpfzPlJQBz2f0RlgT9A7muX+pqEU0CgPHzpEZpTQHE33M9R2lRAXd1rSz41U0BkcIG0dvVLQMOzj2k2YUNARAc7DU19UEAPHvxkeepQQJIjfLCffShAgBpvCRC+V0BQykG5zjBTQL4CkB53XFJAv3WlqKEkQ0DSutwN5+A9QLOUMTtmkkxAMw6iSG4rV0D4Y+8edh1JQDE5XzRpaVdAYveoGkNGWECvZHW0sttVQAi4qwPI2FRAW6/fBCasT0AUHwbDQrNQQJ/CMsKR7EtANIOLQc7YUECGb1L35V9WQFw6ecm38FBAj/tksEqhSkCYK1OG8b44QOTvKlsEM0VApLNzeOvbM0BmFShvX1dPQO2fQh1s70xAVtFiJRlCPkAURsa/0es/QDxuk213oiBAEpOq6q+OU0AbVUqkwsZCQMLFcjdw8EVAlLNcX87sQEDsf0wpD5xDQJcn4OWNyjxAICd9CY7RVUCGJ+rir58+QKwgzFx4r09Apny6aE2lSUD2i9RlJQ4cQD4rgLpH6FBAqfqL0Y+fUkBgy7Cz6lwtQEdtkjnWezpAzVV1BT0wQkCp3NkW54VHQD8ZHOVShFFA1nkZGWHSNUD6qUbqtYRVQMRFC9gFQ0hA9fqUCt4FREA08KUnZfIoQPeU4liJA1hAsr9I+SG+HkBodE73f5VVQGacnZnn+1NAxumjuRjoQEAxyG4ZkU1VQGptmUh3pEpALEw60r6RRUB8HHXwOwE5QKVL33venkJAO8qyZa9RLECidI4uLKM1QKOebxE5VFhA5qZ8uvLOTUByyTi6EkFVQLeuC/50ujhArt/ky2zsVUCeEJLjOyQkQHNOnvwEYlZAr+DJ8mULU0Cww+9O6sw7QHxjhVQGrD9AQM8ymeWBTkDZTX2gkWpOQMSWsktEpwVAaulYs1kTU0CsJBcnXJchQAOr5TLN5FFAh4/WnvP9T0CypOM95PoxQJmV7y8xNwdATtEleY31RkADd0BbxTBHQFr0nMjs8VVAvgJKS2XgTkDdFnIsA3FTQGDpXGkHmU5Ap+lEPNYICUC7VUpzWWpSQB3+dXy41lBACJLp+6a2RkBZtbQUO/xMQAGUqjfYK1JA4Qc9J6emVEBvmbDFjXxWQMT7+lKvV1dAYinHl5agU0BnC4hDs0hRQIHZWXKDFUdAfhDboZT2IkDCJ3BJwaFPQGDW+mOcplJAeZLS6nR3KEC87akRwwM+QNZM8Os6QFhAi9GZxf1bO0AoMIbzISRSQODT3IVvhlJAfx2Q2gHlVUAHibKpeOBUQMutmOQrZz5AdtG8G+qANEBNzPEdhP1TQPxNUjBWFTJA2J/Fb5JaUkBlT6F795hRQNPimk5QkyNAWJqcZkj4VkC/YWduS+RVQD2rhPQE8EJAvsPMBLHPR0AuMK6hv4hTQOJvRHPgb0NAVTf8eNLNTkC6KUV48cVEQJaDrpts1kBAkLFrwrA4VkASNzFONoFAQL54Eh/YWjRARcrr2FOyV0AEA/kRnPdTQDf1A7eqvTNA0FABMuV5IUDPLm7/lEBXQEZet0zy6FRAVgbHo5TiREDq1T4FQYtNQBqUhMjzpUlA7aDywVsmU0C8Uke4NYZLQFymNbXHAEVAv38OHzXkV0BM+y31A+s/QL4x2zeBpEVAUMaaxVTxQkAaiGh3BCY2QMPnENVXG1JA3eIbEsJDTUDFWXQ/aAk/QFLrodvEXjRAckLvOfGLR0AgPmYrR0AcQJ/zkKzf+kJAp9lu3FphS0DG3UBMELZTQIcS+jM/lDVAukamnToZWEB2zqUpnrBEQF7ZMOHjgBxAalQolRhDEkBzFjb1dJU3QC7FYgXC8VVAc/YFs+e9SECxefPK+x9KQMub7rXvNVJAzVw2WqLdV0BotHfOdKnqP23f2RRA8S5Azy9+tWIhVkD2SyF/KjZXQAsPxmk1F09AcCr6CAVhV0Dx2kARVTM/QBXmuJYauktAgBLjhns7Q0DLFnSFs8BMQKynzF92GxhAVChDTCJvUUD7OWBT4p9RQDE9WIycZkBAdoy7Q0XDR0De2QkD/vkAQE2ePZ7gZiVAK2epx4vPI0C9/z9dCP1XQFIi3J7QNytAI/XD0so4UUC2gw159BwzQCtgITGb9yVAAWwoncXPPUA=\",\"dtype\":\"float64\",\"shape\":[4000]}}},\"id\":\"fafefbe1-ef5e-4a05-938d-3ccc2e55435f\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"56d06d4c-b49c-4823-81a8-e6af607a54af\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.6},\"fill_color\":{\"field\":\"fill_color\"},\"line_color\":{\"value\":null},\"radius\":{\"field\":\"radius\",\"units\":\"data\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b7cd52b8-1974-4ee9-bbac-b4e39f146506\",\"type\":\"Circle\"},{\"attributes\":{\"formatter\":{\"id\":\"f7840dbe-5772-4423-af26-6825429ac568\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2a92423a-7e5d-4376-8fe9-fcfa4f002bd0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"54b17d70-5198-4bce-ab89-6544e39d118a\",\"type\":\"BasicTicker\"}},\"id\":\"ae08feca-0829-4fe9-8074-11cf5856e025\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"54b17d70-5198-4bce-ab89-6544e39d118a\",\"type\":\"BasicTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"28271672-2424-477a-8566-1d615733e172\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"2a92423a-7e5d-4376-8fe9-fcfa4f002bd0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"cda5d562-d9e9-42ec-a6bb-85c755b0cc3c\",\"type\":\"BasicTicker\"}},\"id\":\"85eec671-b7fe-47cd-a7d0-65b1d268061f\",\"type\":\"LinearAxis\"}],\"root_ids\":[\"2a92423a-7e5d-4376-8fe9-fcfa4f002bd0\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.9\"}};\n",
       "    var render_items = [{\"docid\":\"e25f8c08-e891-49a9-bcf3-1b9db4bf428a\",\"elementid\":\"14f170e6-44d5-454b-869d-9056e52041f2\",\"modelid\":\"2a92423a-7e5d-4376-8fe9-fcfa4f002bd0\"}];\n",
       "\n",
       "    root.Bokeh.embed.embed_items(docs_json, render_items);\n",
       "  }\n",
       "\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2a92423a-7e5d-4376-8fe9-fcfa4f002bd0"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "from bokeh.plotting import figure, output_notebook, show\n",
    "\n",
    "# prepare some data\n",
    "N = 4000\n",
    "x = np.random.random(size=N) * 100\n",
    "y = np.random.random(size=N) * 100\n",
    "radii = np.random.random(size=N) * 1.5\n",
    "colors = [\n",
    "    \"#%02x%02x%02x\" % (int(r), int(g), 150) for r, g in zip(50+2*x, 30+2*y)\n",
    "]\n",
    "\n",
    "# output to static HTML file (with CDN resources)\n",
    "output_notebook()\n",
    "#output_file(\"color_scatter.html\", title=\"color_scatter.py example\", mode=\"cdn\")\n",
    "\n",
    "TOOLS=\"crosshair,pan,hover, wheel_zoom,box_zoom,reset,box_select,lasso_select\"\n",
    "\n",
    "# create a new plot with the tools above, and explicit ranges\n",
    "p = figure(tools=TOOLS, x_range=(0,100), y_range=(0,100))\n",
    "\n",
    "# add a circle renderer with vectorized colors and sizes\n",
    "p.circle(x,y, radius=radii, fill_color=colors, fill_alpha=0.6, line_color=None)\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"2c11a0b4-70b7-4d0e-8096-c9b20d5dc5dc\">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 !== undefined) {\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 import _state; print(_state.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 element_id = msg.content.text.trim();\n",
       "            Bokeh.index[element_id].model.document.clear();\n",
       "            delete Bokeh.index[element_id];\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"from bokeh import io; io._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[0].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[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\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[0]);\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(\"2c11a0b4-70b7-4d0e-8096-c9b20d5dc5dc\");\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) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        root._bokeh_is_loading--;\n",
       "        if (root._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"2c11a0b4-70b7-4d0e-8096-c9b20d5dc5dc\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '2c11a0b4-70b7-4d0e-8096-c9b20d5dc5dc' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \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",
       "      }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(\"2c11a0b4-70b7-4d0e-8096-c9b20d5dc5dc\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"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(\"2c11a0b4-70b7-4d0e-8096-c9b20d5dc5dc\");\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) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"2c11a0b4-70b7-4d0e-8096-c9b20d5dc5dc\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '2c11a0b4-70b7-4d0e-8096-c9b20d5dc5dc' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \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      }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(\"2c11a0b4-70b7-4d0e-8096-c9b20d5dc5dc\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"087f18f7-2dde-4307-aada-bd5f7b106e60\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = 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Application\",\"version\":\"0.12.9\"}};\n",
       "    var render_items = [{\"docid\":\"423bc3aa-45ca-4cbc-86b4-abcc13023f4c\",\"elementid\":\"087f18f7-2dde-4307-aada-bd5f7b106e60\",\"modelid\":\"ff6aba3e-0dbf-4bd3-afbe-4694d3465629\"}];\n",
       "\n",
       "    root.Bokeh.embed.embed_items(docs_json, render_items);\n",
       "  }\n",
       "\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "ff6aba3e-0dbf-4bd3-afbe-4694d3465629"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from bokeh.plotting import *\n",
    "from bokeh.models import ColumnDataSource\n",
    "\n",
    "# prepare some date\n",
    "N = 300\n",
    "x = np.linspace(0, 4*np.pi, N)\n",
    "y0 = np.sin(x)\n",
    "y1 = np.cos(x)\n",
    "\n",
    "# output to static HTML file\n",
    "#output_file(\"linked_brushing.html\")\n",
    "output_notebook()\n",
    "\n",
    "# NEW: create a column data source for the plots to share\n",
    "source = ColumnDataSource(data=dict(x=x, y0=y0, y1=y1))\n",
    "\n",
    "TOOLS = \"pan,hover, wheel_zoom,box_zoom,reset,save,box_select,lasso_select\"\n",
    "\n",
    "# create a new plot and add a renderer\n",
    "left = figure(tools=TOOLS, width=350, height=350, title=None)\n",
    "left.circle('x', 'y0', source=source)\n",
    "\n",
    "# create another new plot and add a renderer\n",
    "right = figure(tools=TOOLS, width=350, height=350, title=None)\n",
    "right.circle('x', 'y1', source=source)\n",
    "\n",
    "# put the subplots in a gridplot\n",
    "p = gridplot([[left, right]])\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using data directory: C:\\Users\\anvykhod\\.bokeh\\data\n",
      "Downloading: CGM.csv (1589982 bytes)\n",
      "   1589982 [100.00%]\n",
      "Downloading: US_Counties.zip (3182088 bytes)\n",
      "   3182088 [100.00%]\n",
      "Unpacking: US_Counties.csv\n",
      "Downloading: us_cities.json (713565 bytes)\n",
      "    713565 [100.00%]\n",
      "Downloading: unemployment09.csv (253301 bytes)\n",
      "    229376 [ 90.55%]"
     ]
    }
   ],
   "source": [
    "import bokeh\n",
    "\n",
    "bokeh.sampledata.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"d9dfca66-11df-416f-a254-c81ec9d20a05\">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 !== undefined) {\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 import _state; print(_state.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 element_id = msg.content.text.trim();\n",
       "            Bokeh.index[element_id].model.document.clear();\n",
       "            delete Bokeh.index[element_id];\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"from bokeh import io; io._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[0].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[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\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[0]);\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(\"d9dfca66-11df-416f-a254-c81ec9d20a05\");\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) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var s = document.createElement('script');\n",
       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        root._bokeh_is_loading--;\n",
       "        if (root._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"d9dfca66-11df-416f-a254-c81ec9d20a05\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'd9dfca66-11df-416f-a254-c81ec9d20a05' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \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",
       "      }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(\"d9dfca66-11df-416f-a254-c81ec9d20a05\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"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(\"d9dfca66-11df-416f-a254-c81ec9d20a05\");\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) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"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.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"d9dfca66-11df-416f-a254-c81ec9d20a05\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'd9dfca66-11df-416f-a254-c81ec9d20a05' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.9.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.9.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.9.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \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      }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(\"d9dfca66-11df-416f-a254-c81ec9d20a05\")).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.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<div class=\"bk-root\">\n",
       "    <div class=\"bk-plotdiv\" id=\"9a6485ef-b085-4e9c-a2e9-ef409fca98b3\"></div>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"d4e43431-3f15-494f-ae76-64abe528bc13\":{\"roots\":{\"references\":[{\"attributes\":{\"callback\":null},\"id\":\"bc68a026-dea9-41fc-b84f-e39dc402e7a8\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"dc788047-2a92-471f-a317-025d8867a9d6\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":null,\"text\":\"AAPL One-Month 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       "    var render_items = [{\"docid\":\"d4e43431-3f15-494f-ae76-64abe528bc13\",\"elementid\":\"9a6485ef-b085-4e9c-a2e9-ef409fca98b3\",\"modelid\":\"d233abf9-3a7e-4f19-adaf-554b62c29078\"}];\n",
       "\n",
       "    root.Bokeh.embed.embed_items(docs_json, render_items);\n",
       "  }\n",
       "\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
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       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
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     "output_type": "display_data"
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   ],
   "source": [
    "## import numpy as np\n",
    "\n",
    "from bokeh.plotting import figure, output_notebook, show\n",
    "from bokeh.sampledata.stocks import AAPL\n",
    "\n",
    "# prepare some data\n",
    "aapl = np.array(AAPL['adj_close'])\n",
    "aapl_dates = np.array(AAPL['date'], dtype=np.datetime64)\n",
    "\n",
    "window_size = 30\n",
    "window = np.ones(window_size)/float(window_size)\n",
    "aapl_avg = np.convolve(aapl, window, 'same')\n",
    "\n",
    "# output to static HTML file\n",
    "#output_file(\"stocks.html\", title=\"stocks.py example\")\n",
    "output_notebook()\n",
    "TOOLS = \"pan,hover, wheel_zoom,box_zoom,reset,save,box_select,lasso_select\"\n",
    "# create a new plot with a a datetime axis type\n",
    "p = figure(tools=TOOLS, width=800, height=350, x_axis_type=\"datetime\")\n",
    "\n",
    "# add renderers\n",
    "p.circle(aapl_dates, aapl, size=4, color='darkgrey', alpha=0.2, legend='close')\n",
    "p.line(aapl_dates, aapl_avg, color='navy', legend='avg')\n",
    "\n",
    "# NEW: customize by setting attributes\n",
    "p.title.text = \"AAPL One-Month Average\"\n",
    "p.legend.location = \"top_left\"\n",
    "p.grid.grid_line_alpha=0\n",
    "p.xaxis.axis_label = 'Date'\n",
    "p.yaxis.axis_label = 'Price'\n",
    "p.ygrid.band_fill_color=\"olive\"\n",
    "p.ygrid.band_fill_alpha = 0.1\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  }
 ],
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