dashboard.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "7ec39e4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# MIT License\n",
    "\n",
    "# Copyright (c) 2022 Chiragkumar Patel\n",
    "\n",
    "# Permission is hereby granted, free of charge, to any person obtaining a copy\n",
    "# of this software and associated documentation files (the \"Software\"), to deal\n",
    "# in the Software without restriction, including without limitation the rights\n",
    "# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n",
    "# copies of the Software, and to permit persons to whom the Software is\n",
    "# furnished to do so, subject to the following conditions:\n",
    "\n",
    "# The above copyright notice and this permission notice shall be included in all\n",
    "# copies or substantial portions of the Software.\n",
    "\n",
    "# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n",
    "# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n",
    "# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n",
    "# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n",
    "# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n",
    "# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n",
    "# SOFTWARE."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "17a198af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Requirement already satisfied: wcwidth in /Users/asukh/Library/Python/3.9/lib/python/site-packages (from prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30->ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (0.2.8)\n",
      "Requirement already satisfied: six>=1.5 in /Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.9/lib/python3.9/site-packages (from python-dateutil>=2.8.2->pandas>=1.2->bokeh==3.*->jupyter_bokeh) (1.15.0)\n",
      "Requirement already satisfied: executing>=1.2.0 in /Users/asukh/Library/Python/3.9/lib/python/site-packages (from stack-data->ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (2.0.0)\n",
      "Requirement already satisfied: asttokens>=2.1.0 in /Users/asukh/Library/Python/3.9/lib/python/site-packages (from stack-data->ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (2.4.0)\n",
      "Requirement already satisfied: pure-eval in /Users/asukh/Library/Python/3.9/lib/python/site-packages (from stack-data->ipython>=6.1.0->ipywidgets==8.*->jupyter_bokeh) (0.2.2)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "data": {
      "application/javascript": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.2.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n  var reloading = true;\n  var Bokeh = root.Bokeh;\n  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'tabulator': 'https://cdn.jsdelivr.net/npm/tabulator-tables@5.5.0/dist/js/tabulator', 'moment': 'https://cdn.jsdelivr.net/npm/luxon/build/global/luxon.min', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n      require([\"tabulator\"], function(Tabulator) {\n\twindow.Tabulator = Tabulator\n\ton_load()\n      })\n      require([\"moment\"], function(moment) {\n\twindow.moment = moment\n\ton_load()\n      })\n      require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n      })\n      require([\"jspanel-modal\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-tooltip\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-hint\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-layout\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-dock\"], function() {\n\ton_load()\n      })\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 11;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    if (((window['Tabulator'] !== undefined) && (!(window['Tabulator'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/datatabulator/tabulator-tables@5.5.0/dist/js/tabulator.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['moment'] !== undefined) && (!(window['moment'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/datatabulator/luxon/build/global/luxon.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.2.3/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.2.3/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.holoviz.org/panel/1.2.3/dist/bundled/datatabulator/tabulator-tables@5.5.0/dist/js/tabulator.js\", \"https://cdn.holoviz.org/panel/1.2.3/dist/bundled/datatabulator/luxon/build/global/luxon.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [\"https://cdn.holoviz.org/panel/1.2.3/dist/bundled/datatabulator/tabulator-tables@5.5.0/dist/css/tabulator_simple.min.css\"];\n  var inline_js = [    function(Bokeh) {\n      inject_raw_css(\".tabulator{position:relative;border:1px solid #999;font-size:14px;text-align:left;overflow:hidden;-webkit-transform:translateZ(0);-moz-transform:translateZ(0);-ms-transform:translateZ(0);-o-transform:translateZ(0);transform:translateZ(0)}.tabulator[tabulator-layout=fitDataFill] .tabulator-tableholder .tabulator-table{min-width:100%}.tabulator[tabulator-layout=fitDataTable]{display:inline-block}.tabulator.tabulator-block-select{user-select:none}.tabulator .tabulator-header{position:relative;box-sizing:border-box;width:100%;border-bottom:1px solid #999;background-color:#fff;color:#555;font-weight:700;white-space:nowrap;overflow:hidden;-moz-user-select:none;-khtml-user-select:none;-webkit-user-select:none;-o-user-select:none}.tabulator .tabulator-header.tabulator-header-hidden{display:none}.tabulator .tabulator-header .tabulator-header-contents{position:relative;overflow:hidden}.tabulator .tabulator-header .tabulator-header-contents .tabulator-headers{display:inline-block}.tabulator .tabulator-header .tabulator-col{display:inline-flex;position:relative;box-sizing:border-box;flex-direction:column;justify-content:flex-start;border-right:1px solid #ddd;background:#fff;text-align:left;vertical-align:bottom;overflow:hidden}.tabulator .tabulator-header .tabulator-col.tabulator-moving{position:absolute;border:1px solid #999;background:#e6e6e6;pointer-events:none}.tabulator .tabulator-header .tabulator-col .tabulator-col-content{box-sizing:border-box;position:relative;padding:4px}.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-header-popup-button{padding:0 8px}.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-header-popup-button:hover{cursor:pointer;opacity:.6}.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-col-title-holder{position:relative}.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-col-title{box-sizing:border-box;width:100%;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;vertical-align:bottom}.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-col-title.tabulator-col-title-wrap{white-space:normal;text-overflow:clip}.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-col-title .tabulator-title-editor{box-sizing:border-box;width:100%;border:1px solid #999;padding:1px;background:#fff}.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-col-title .tabulator-header-popup-button+.tabulator-title-editor{width:calc(100% - 22px)}.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-col-sorter{display:flex;align-items:center;position:absolute;top:0;bottom:0;right:4px}.tabulator .tabulator-header .tabulator-col .tabulator-col-content .tabulator-col-sorter .tabulator-arrow{width:0;height:0;border-left:6px solid transparent;border-right:6px solid transparent;border-bottom:6px solid #bbb}.tabulator .tabulator-header .tabulator-col.tabulator-col-group .tabulator-col-group-cols{position:relative;display:flex;border-top:1px solid #ddd;overflow:hidden;margin-right:-1px}.tabulator .tabulator-header .tabulator-col .tabulator-header-filter{position:relative;box-sizing:border-box;margin-top:2px;width:100%;text-align:center}.tabulator .tabulator-header .tabulator-col .tabulator-header-filter textarea{height:auto!important}.tabulator .tabulator-header .tabulator-col .tabulator-header-filter svg{margin-top:3px}.tabulator .tabulator-header .tabulator-col .tabulator-header-filter input::-ms-clear{width:0;height:0}.tabulator .tabulator-header .tabulator-col.tabulator-sortable .tabulator-col-title{padding-right:25px}@media (hover:hover) and (pointer:fine){.tabulator .tabulator-header .tabulator-col.tabulator-sortable.tabulator-col-sorter-element:hover{cursor:pointer;background-color:#e6e6e6}}.tabulator .tabulator-header .tabulator-col.tabulator-sortable[aria-sort=none] .tabulator-col-content .tabulator-col-sorter{color:#bbb}@media (hover:hover) and (pointer:fine){.tabulator .tabulator-header .tabulator-col.tabulator-sortable[aria-sort=none] .tabulator-col-content .tabulator-col-sorter.tabulator-col-sorter-element .tabulator-arrow:hover{cursor:pointer;border-bottom:6px solid #555}}.tabulator .tabulator-header .tabulator-col.tabulator-sortable[aria-sort=none] .tabulator-col-content .tabulator-col-sorter .tabulator-arrow{border-top:none;border-bottom:6px solid #bbb}.tabulator .tabulator-header .tabulator-col.tabulator-sortable[aria-sort=ascending] .tabulator-col-content .tabulator-col-sorter{color:#666}@media (hover:hover) and (pointer:fine){.tabulator .tabulator-header .tabulator-col.tabulator-sortable[aria-sort=ascending] .tabulator-col-content .tabulator-col-sorter.tabulator-col-sorter-element .tabulator-arrow:hover{cursor:pointer;border-bottom:6px solid #555}}.tabulator .tabulator-header .tabulator-col.tabulator-sortable[aria-sort=ascending] .tabulator-col-content .tabulator-col-sorter .tabulator-arrow{border-top:none;border-bottom:6px solid #666}.tabulator .tabulator-header .tabulator-col.tabulator-sortable[aria-sort=descending] .tabulator-col-content .tabulator-col-sorter{color:#666}@media (hover:hover) and (pointer:fine){.tabulator .tabulator-header .tabulator-col.tabulator-sortable[aria-sort=descending] .tabulator-col-content .tabulator-col-sorter.tabulator-col-sorter-element .tabulator-arrow:hover{cursor:pointer;border-top:6px solid #555}}.tabulator .tabulator-header .tabulator-col.tabulator-sortable[aria-sort=descending] .tabulator-col-content .tabulator-col-sorter .tabulator-arrow{border-bottom:none;border-top:6px solid #666;color:#666}.tabulator .tabulator-header .tabulator-col.tabulator-col-vertical .tabulator-col-content .tabulator-col-title{writing-mode:vertical-rl;text-orientation:mixed;display:flex;align-items:center;justify-content:center}.tabulator .tabulator-header .tabulator-col.tabulator-col-vertical.tabulator-col-vertical-flip .tabulator-col-title{transform:rotate(180deg)}.tabulator .tabulator-header .tabulator-col.tabulator-col-vertical.tabulator-sortable .tabulator-col-title{padding-right:0;padding-top:20px}.tabulator .tabulator-header .tabulator-col.tabulator-col-vertical.tabulator-sortable.tabulator-col-vertical-flip .tabulator-col-title{padding-right:0;padding-bottom:20px}.tabulator .tabulator-header .tabulator-col.tabulator-col-vertical.tabulator-sortable .tabulator-col-sorter{justify-content:center;left:0;right:0;top:4px;bottom:auto}.tabulator .tabulator-header .tabulator-frozen{position:sticky;left:0;z-index:10}.tabulator .tabulator-header .tabulator-frozen.tabulator-frozen-left{border-right:2px solid #ddd}.tabulator .tabulator-header .tabulator-frozen.tabulator-frozen-right{border-left:2px solid #ddd}.tabulator .tabulator-header .tabulator-calcs-holder{box-sizing:border-box;background:#fff!important;border-top:1px solid #ddd;border-bottom:1px solid #ddd}.tabulator .tabulator-header .tabulator-calcs-holder .tabulator-row{background:#fff!important}.tabulator .tabulator-header .tabulator-calcs-holder .tabulator-row .tabulator-col-resize-handle,.tabulator .tabulator-header .tabulator-frozen-rows-holder:empty{display:none}.tabulator .tabulator-tableholder{position:relative;width:100%;white-space:nowrap;overflow:auto;-webkit-overflow-scrolling:touch}.tabulator .tabulator-tableholder:focus{outline:none}.tabulator .tabulator-tableholder .tabulator-placeholder{box-sizing:border-box;display:flex;align-items:center;justify-content:center;width:100%}.tabulator .tabulator-tableholder .tabulator-placeholder[tabulator-render-mode=virtual]{min-height:100%;min-width:100%}.tabulator .tabulator-tableholder .tabulator-placeholder .tabulator-placeholder-contents{display:inline-block;text-align:center;padding:10px;color:#ccc;font-weight:700;font-size:20px;white-space:normal}.tabulator .tabulator-tableholder .tabulator-table{position:relative;display:inline-block;background-color:#fff;white-space:nowrap;overflow:visible;color:#333}.tabulator .tabulator-tableholder .tabulator-table .tabulator-row.tabulator-calcs{font-weight:700;background:#f2f2f2!important}.tabulator .tabulator-tableholder .tabulator-table .tabulator-row.tabulator-calcs.tabulator-calcs-top{border-bottom:2px solid #ddd}.tabulator .tabulator-tableholder .tabulator-table .tabulator-row.tabulator-calcs.tabulator-calcs-bottom{border-top:2px solid #ddd}.tabulator .tabulator-footer{border-top:1px solid #999;background-color:#fff;color:#555;font-weight:700;white-space:nowrap;user-select:none;-moz-user-select:none;-khtml-user-select:none;-webkit-user-select:none;-o-user-select:none}.tabulator .tabulator-footer .tabulator-footer-contents{display:flex;flex-direction:row;align-items:center;justify-content:space-between;padding:5px 10px}.tabulator .tabulator-footer .tabulator-footer-contents:empty{display:none}.tabulator .tabulator-footer .tabulator-calcs-holder{box-sizing:border-box;width:100%;text-align:left;background:#fff!important;border-bottom:1px solid #ddd;border-top:1px solid #ddd;overflow:hidden}.tabulator .tabulator-footer .tabulator-calcs-holder .tabulator-row{display:inline-block;background:#fff!important}.tabulator .tabulator-footer .tabulator-calcs-holder .tabulator-row .tabulator-col-resize-handle{display:none}.tabulator .tabulator-footer .tabulator-calcs-holder:only-child{margin-bottom:-5px;border-bottom:none}.tabulator .tabulator-footer>*+.tabulator-page-counter{margin-left:10px}.tabulator .tabulator-footer .tabulator-page-counter{font-weight:400}.tabulator .tabulator-footer .tabulator-paginator{flex:1;text-align:right;color:#555;font-family:inherit;font-weight:inherit;font-size:inherit}.tabulator .tabulator-footer .tabulator-page-size{display:inline-block;margin:0 5px;padding:2px 5px;border:1px solid #aaa;border-radius:3px}.tabulator .tabulator-footer .tabulator-pages{margin:0 7px}.tabulator .tabulator-footer .tabulator-page{display:inline-block;margin:0 2px;padding:2px 5px;border:1px solid #aaa;border-radius:3px;background:hsla(0,0%,100%,.2)}.tabulator .tabulator-footer .tabulator-page.active{color:#d00}.tabulator .tabulator-footer .tabulator-page:disabled{opacity:.5}@media (hover:hover) and (pointer:fine){.tabulator .tabulator-footer .tabulator-page:not(.disabled):hover{cursor:pointer;background:rgba(0,0,0,.2);color:#fff}}.tabulator 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document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].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/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\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  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n",
      "application/vnd.holoviews_load.v0+json": ""
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>*[data-root-id],\n",
       "*[data-root-id] > * {\n",
       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
       "}\n",
       "\n",
       "/* Override VSCode background color */\n",
       ".cell-output-ipywidget-background:has(\n",
       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
       "  ),\n",
       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%pip install pandas\n",
    "%pip install numpy\n",
    "%pip install panel\n",
    "%pip install hvplot\n",
    "%pip install jupyter_bokeh\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import panel as pn\n",
    "pn.extension('tabulator')\n",
    "import hvplot.pandas\n",
    "import calendar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "8fa6e5dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>API_URL</th>\n",
       "      <th>HTML_URL</th>\n",
       "      <th>Repository</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://api.github.com/repos/autowarefoundatio...</td>\n",
       "      <td>https://github.com/autowarefoundation/autoware...</td>\n",
       "      <td>autoware_msgs</td>\n",
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       "      <td>open</td>\n",
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       "      <th>1</th>\n",
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       "      <td>2023-07-31 01:53:46+00:00</td>\n",
       "      <td>2023-08-02 05:45:29+00:00</td>\n",
       "      <td>closed</td>\n",
       "      <td>beginningfan</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>['mitsudome-r']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://api.github.com/repos/autowarefoundatio...</td>\n",
       "      <td>https://github.com/autowarefoundation/autoware...</td>\n",
       "      <td>autoware_msgs</td>\n",
       "      <td>2023-07-13 14:40:46+00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>open</td>\n",
       "      <td>xmfcx</td>\n",
       "      <td>['xmfcx']</td>\n",
       "      <td>['stale[bot]', 'xmfcx', 'codecov[bot]']</td>\n",
       "      <td>['documentation', 'enhancement', 'stale']</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://api.github.com/repos/autowarefoundatio...</td>\n",
       "      <td>https://github.com/autowarefoundation/autoware...</td>\n",
       "      <td>autoware_msgs</td>\n",
       "      <td>2023-06-30 08:03:02+00:00</td>\n",
       "      <td>2023-07-05 09:33:12+00:00</td>\n",
       "      <td>closed</td>\n",
       "      <td>isamu-takagi</td>\n",
       "      <td>['isamu-takagi']</td>\n",
       "      <td>['isamu-takagi', 'Mingyu1991']</td>\n",
       "      <td>[]</td>\n",
       "      <td>['Mingyu1991', 'yukkysaito']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://api.github.com/repos/autowarefoundatio...</td>\n",
       "      <td>https://github.com/autowarefoundation/autoware...</td>\n",
       "      <td>autoware_msgs</td>\n",
       "      <td>2023-06-23 05:04:27+00:00</td>\n",
       "      <td>2023-06-23 05:09:01+00:00</td>\n",
       "      <td>closed</td>\n",
       "      <td>Mingyu1991</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>['miursh']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             API_URL  \\\n",
       "0  https://api.github.com/repos/autowarefoundatio...   \n",
       "1  https://api.github.com/repos/autowarefoundatio...   \n",
       "2  https://api.github.com/repos/autowarefoundatio...   \n",
       "3  https://api.github.com/repos/autowarefoundatio...   \n",
       "4  https://api.github.com/repos/autowarefoundatio...   \n",
       "\n",
       "                                            HTML_URL     Repository  \\\n",
       "0  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "1  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "2  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "3  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "4  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "\n",
       "                  Start_time                   End_time PR_Status  \\\n",
       "0  2023-09-05 00:47:27+00:00                        NaN      open   \n",
       "1  2023-07-31 01:53:46+00:00  2023-08-02 05:45:29+00:00    closed   \n",
       "2  2023-07-13 14:40:46+00:00                        NaN      open   \n",
       "3  2023-06-30 08:03:02+00:00  2023-07-05 09:33:12+00:00    closed   \n",
       "4  2023-06-23 05:04:27+00:00  2023-06-23 05:09:01+00:00    closed   \n",
       "\n",
       "         Initiator         Assignees                               Commenters  \\\n",
       "0  dependabot[bot]                []                      ['dependabot[bot]']   \n",
       "1     beginningfan                []                                       []   \n",
       "2            xmfcx         ['xmfcx']  ['stale[bot]', 'xmfcx', 'codecov[bot]']   \n",
       "3     isamu-takagi  ['isamu-takagi']           ['isamu-takagi', 'Mingyu1991']   \n",
       "4       Mingyu1991                []                                       []   \n",
       "\n",
       "                                      Labels                     Reviewers  \n",
       "0                                    ['bot']                            []  \n",
       "1                                         []               ['mitsudome-r']  \n",
       "2  ['documentation', 'enhancement', 'stale']                            []  \n",
       "3                                         []  ['Mingyu1991', 'yukkysaito']  \n",
       "4                                         []                    ['miursh']  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"data_testing.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ad811bd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "API_URL       7364\n",
       "HTML_URL      7364\n",
       "Repository    7364\n",
       "Start_time    7364\n",
       "End_time      6974\n",
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       "dtype: int64"
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     "execution_count": 38,
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   "source": [
    "df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "11923b75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "API_URL       object\n",
       "HTML_URL      object\n",
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   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "df36acd1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7364 entries, 0 to 7363\n",
      "Data columns (total 11 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   API_URL     7364 non-null   object\n",
      " 1   HTML_URL    7364 non-null   object\n",
      " 2   Repository  7364 non-null   object\n",
      " 3   Start_time  7364 non-null   object\n",
      " 4   End_time    6974 non-null   object\n",
      " 5   PR_Status   7364 non-null   object\n",
      " 6   Initiator   7364 non-null   object\n",
      " 7   Assignees   7364 non-null   object\n",
      " 8   Commenters  7364 non-null   object\n",
      " 9   Labels      7364 non-null   object\n",
      " 10  Reviewers   7364 non-null   object\n",
      "dtypes: object(11)\n",
      "memory usage: 633.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "f6938bdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Start_year'] = pd.to_datetime(df.Start_time).dt.year\n",
    "df['Start_month'] = pd.to_datetime(df.Start_time).dt.month\n",
    "df['Start_day'] = pd.to_datetime(df.Start_time).dt.day\n",
    "df['End_year'] = pd.to_datetime(df.End_time).dt.year\n",
    "df['End_month'] = pd.to_datetime(df.End_time).dt.month\n",
    "df['End_day'] = pd.to_datetime(df.End_time).dt.day\n",
    "# convert start and end year, month, day to integers\n",
    "df['Start_year'] = df['Start_year'].astype(int)\n",
    "df['Start_month'] = df['Start_month'].astype(int)\n",
    "df['Start_day'] = df['Start_day'].astype(int)\n",
    "df['End_year'] = df['End_year'].astype(int)\n",
    "df['End_month'] = df['End_month'].astype(int)\n",
    "df['End_day'] = df['End_day'].astype(int)\n",
    "\n",
    "# df['Month'] = df['Month'].apply(lambda x: calendar.month_abbr[x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d9734fa9",
   "metadata": {},
   "outputs": [
    {
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       "      <th>API_URL</th>\n",
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       "      <td>https://api.github.com/repos/autowarefoundatio...</td>\n",
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       "      <td>2023-06-30 08:03:02+00:00</td>\n",
       "      <td>2023-07-05 09:33:12+00:00</td>\n",
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       "      <td>['isamu-takagi']</td>\n",
       "      <td>['isamu-takagi', 'Mingyu1991']</td>\n",
       "      <td>[]</td>\n",
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       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>30</td>\n",
       "      <td>2023</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>2023-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://api.github.com/repos/autowarefoundatio...</td>\n",
       "      <td>https://github.com/autowarefoundation/autoware...</td>\n",
       "      <td>autoware_msgs</td>\n",
       "      <td>2023-06-23 05:04:27+00:00</td>\n",
       "      <td>2023-06-23 05:09:01+00:00</td>\n",
       "      <td>closed</td>\n",
       "      <td>Mingyu1991</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>['miursh']</td>\n",
       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>2023-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>https://api.github.com/repos/autowarefoundatio...</td>\n",
       "      <td>https://github.com/autowarefoundation/autoware...</td>\n",
       "      <td>autoware_msgs</td>\n",
       "      <td>2023-06-22 12:26:06+00:00</td>\n",
       "      <td>2023-06-23 01:00:30+00:00</td>\n",
       "      <td>closed</td>\n",
       "      <td>Mingyu1991</td>\n",
       "      <td>[]</td>\n",
       "      <td>['isamu-takagi', 'miursh', 'yukkysaito']</td>\n",
       "      <td>[]</td>\n",
       "      <td>['yukkysaito']</td>\n",
       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>22</td>\n",
       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>2023-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>https://api.github.com/repos/autowarefoundatio...</td>\n",
       "      <td>https://github.com/autowarefoundation/autoware...</td>\n",
       "      <td>autoware_msgs</td>\n",
       "      <td>2023-06-22 08:43:12+00:00</td>\n",
       "      <td>2023-06-22 09:20:40+00:00</td>\n",
       "      <td>closed</td>\n",
       "      <td>Mingyu1991</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>['yukkysaito']</td>\n",
       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>22</td>\n",
       "      <td>2023</td>\n",
       "      <td>6</td>\n",
       "      <td>22</td>\n",
       "      <td>2023-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             API_URL  \\\n",
       "1  https://api.github.com/repos/autowarefoundatio...   \n",
       "3  https://api.github.com/repos/autowarefoundatio...   \n",
       "4  https://api.github.com/repos/autowarefoundatio...   \n",
       "5  https://api.github.com/repos/autowarefoundatio...   \n",
       "6  https://api.github.com/repos/autowarefoundatio...   \n",
       "\n",
       "                                            HTML_URL     Repository  \\\n",
       "1  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "3  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "4  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "5  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "6  https://github.com/autowarefoundation/autoware...  autoware_msgs   \n",
       "\n",
       "                  Start_time                   End_time PR_Status  \\\n",
       "1  2023-07-31 01:53:46+00:00  2023-08-02 05:45:29+00:00    closed   \n",
       "3  2023-06-30 08:03:02+00:00  2023-07-05 09:33:12+00:00    closed   \n",
       "4  2023-06-23 05:04:27+00:00  2023-06-23 05:09:01+00:00    closed   \n",
       "5  2023-06-22 12:26:06+00:00  2023-06-23 01:00:30+00:00    closed   \n",
       "6  2023-06-22 08:43:12+00:00  2023-06-22 09:20:40+00:00    closed   \n",
       "\n",
       "      Initiator         Assignees                                Commenters  \\\n",
       "1  beginningfan                []                                        []   \n",
       "3  isamu-takagi  ['isamu-takagi']            ['isamu-takagi', 'Mingyu1991']   \n",
       "4    Mingyu1991                []                                        []   \n",
       "5    Mingyu1991                []  ['isamu-takagi', 'miursh', 'yukkysaito']   \n",
       "6    Mingyu1991                []                                        []   \n",
       "\n",
       "  Labels                     Reviewers  Start_year  Start_month  Start_day  \\\n",
       "1     []               ['mitsudome-r']        2023            7         31   \n",
       "3     []  ['Mingyu1991', 'yukkysaito']        2023            6         30   \n",
       "4     []                    ['miursh']        2023            6         23   \n",
       "5     []                ['yukkysaito']        2023            6         22   \n",
       "6     []                ['yukkysaito']        2023            6         22   \n",
       "\n",
       "   End_year  End_month  End_day Start_year_month  \n",
       "1      2023          8        2          2023-07  \n",
       "3      2023          7        5          2023-06  \n",
       "4      2023          6       23          2023-06  \n",
       "5      2023          6       23          2023-06  \n",
       "6      2023          6       22          2023-06  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "5c0d75fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "idf = df.interactive()\n",
    "year_slider_min = pn.widgets.IntSlider(name='Year slider min', start=2018, end=2024, step=1, value=2018)\n",
    "year_slider_max = pn.widgets.IntSlider(name='Year slider max', start=2018, end=2024, step=1, value=2023)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6d664fae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cbf9c9be10d3423780c397dc57ea2ebb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "BokehModel(combine_events=True, render_bundle={'docs_json': {'06b60de7-894e-4b5c-b5c1-599895de53ff': {'version…"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pulls_per_repo = (\n",
    "    idf.groupby(['Repository'])\n",
    "    .size()\n",
    "    .reset_index(name='Pull_Request_Count')\n",
    "    .set_index(['Repository'])\n",
    "    .sort_values(by=['Pull_Request_Count'], ascending=False)\n",
    ")\n",
    "pulls_per_repo\n",
    "\n",
    "# show the table\n",
    "pn.widgets.Tabulator(pulls_per_repo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "4bc18d38",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "48923c8e893948eda9d8d875243565f9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "BokehModel(combine_events=True, render_bundle={'docs_json': {'10401b90-dc26-437b-9593-9e051b6c7e5f': {'version…"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make Pull Request Counter\n",
    "pulls_per_repo_slider = pn.widgets.IntSlider(name='Pull Request Counts', start=0, end=6000, step=50, value=0)\n",
    "pulls_per_repo_slider\n",
    "\n",
    "# Slide the pull request counter to display chart accordingly\n",
    "pulls_per_repo_pipeline = (\n",
    "    pulls_per_repo[pulls_per_repo.Pull_Request_Count >= pulls_per_repo_slider]\n",
    "    .sort_values(by=['Pull_Request_Count'], ascending=False)\n",
    ")\n",
    "\n",
    "# Use panel to display bar chart by passing Organisation and Counts\n",
    "pulls_per_repo_bar_plot = pulls_per_repo_pipeline.hvplot(kind='bar', \n",
    "                                                     x='Repository', \n",
    "                                                     y='Pull_Request_Count', \n",
    "                                                     width=600, \n",
    "                                                     height=600,\n",
    "                                                     rot=90,\n",
    "                                                     title='Number of Pulls per Repository')\n",
    "pulls_per_repo_bar_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "89a4c4c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "55582fd8683e4feca5a8ae52b82ec8b6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "BokehModel(combine_events=True, render_bundle={'docs_json': {'ddb32350-2d7f-4f94-9c3c-4b8439b99db1': {'version…"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Number of Open Pull Requests\n",
    "open_pulls_per_repo = (\n",
    "    # only include open pull requests\n",
    "    idf[idf['PR_Status'] == 'open']\n",
    "    .groupby(['Repository'])\n",
    "    .size()\n",
    "    .reset_index(name='Open_Pull_Request_Count')\n",
    "    .set_index(['Repository'])\n",
    "    .sort_values(by=['Open_Pull_Request_Count'], ascending=False)\n",
    ")\n",
    "pulls_per_repo\n",
    "\n",
    "# show the table\n",
    "pn.widgets.Tabulator(pulls_per_repo)\n",
    "\n",
    "# Make Open Pull Request Counter\n",
    "open_pulls_per_repo_slider = pn.widgets.IntSlider(name='Open Pull Request Counts', start=0, end=300, step=5, value=0)\n",
    "open_pulls_per_repo_slider\n",
    "\n",
    "# Slide the open pull request counter to display chart accordingly\n",
    "open_pulls_per_repo_pipeline = (\n",
    "    open_pulls_per_repo[open_pulls_per_repo.Open_Pull_Request_Count >= open_pulls_per_repo_slider]\n",
    "    .sort_values(by=['Open_Pull_Request_Count'], ascending=False)\n",
    ")\n",
    "\n",
    "# Use panel to display bar chart by passing Organisation and Counts\n",
    "\n",
    "open_pulls_per_repo_bar_plot = open_pulls_per_repo_pipeline.hvplot(kind='bar',\n",
    "                                                                     x='Repository',\n",
    "                                                                     y='Open_Pull_Request_Count',\n",
    "                                                                     width=600,\n",
    "                                                                     height=600,\n",
    "                                                                     rot=90,\n",
    "                                                                     title='Number of Open Pulls per Repository')\n",
    "open_pulls_per_repo_bar_plot\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "b22a7e8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1a5a7e27777244898d2415ff25fdaa53",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "BokehModel(combine_events=True, render_bundle={'docs_json': {'2b04ffe7-9031-4392-b264-d7b78adce38e': {'version…"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# chart the number of pull requests per year-month\n",
    "\n",
    "# first merge the year and month into the same column in the format YYYY-MM (include a 0 at the start of the month if it's a single digit month), then group by that column\n",
    "\n",
    "df['Start_month'] = df['Start_month'].apply(lambda x: '{0:0>2}'.format(x))\n",
    "df['Start_year_month'] = df['Start_year'].astype(str) + '-' + df['Start_month'].astype(str)\n",
    "\n",
    "\n",
    "\n",
    "pulls_per_month = (\n",
    "    idf.groupby(['Start_year_month'])\n",
    "    .size()\n",
    "    .reset_index(name='Monthly_Pulls')\n",
    "    .set_index(['Start_year_month'])\n",
    "    .sort_values(by=['Start_year_month'], ascending=True)\n",
    ")\n",
    "pulls_per_month\n",
    "\n",
    "# merge the year and month into the same column in the format YYYY-MM\n",
    "# pulls_per_month['Start_year_month'] = pulls_per_month['Start_year'].astype(str) + '-' + pulls_per_month['Start_month'].astype(str)\n",
    "\n",
    "pn.widgets.Tabulator(pulls_per_month)\n",
    "\n",
    "\n",
    "\n",
    "# # graph the table\n",
    "\n",
    "pulls_per_month_plot = pulls_per_month.hvplot(kind='bar',\n",
    "                                                x='Start_year_month',\n",
    "                                                y='Monthly_Pulls',\n",
    "                                                width=600,\n",
    "                                                height=600,\n",
    "                                                rot=90,\n",
    "                                                title='Number of Pulls per Month')\n",
    "pulls_per_month_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n"
     ]
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
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9J0A9CtejcL0nQGZmZmZm5idA16NwPQpXKEDsUbgehesnQClcj8L1qCdApHA9CtejJ0Bcj8L1KFwpQIXrUbgehShAhetRuB6FKECPwvUoXA8pQJqZmZmZmSlA4XoUrkfhKkCuR+F6FC4sQK5H4XoULixApHA9CtejK0AAAAAAAIArQAAAAAAAgCtAmpmZmZmZK0AUrkfhepQrQI/C9ShcjytA7FG4HoVrK0DNzMzMzEwrQKRwPQrXIytApHA9CtcjK0BmZmZmZuYqQClcj8L1qCpAUrgehetRKkBSuB6F61EqQOxRuB6F6ypA4XoUrkfhKkDhehSuR+EqQGZmZmZm5ipAZmZmZmbmKkAfhetRuJ4qQK5H4XoULitA4XoUrkfhKkDhehSuR+EqQBSuR+F6lCpAFK5H4XqUKkAfhetRuB4qQJqZmZmZGSpAUrgehevRKkBSuB6F69ErQFK4HoXr0StAKVyPwvWoK0ApXI/C9agrQClcj8L1qCtAhetRuB6FK0B7FK5H4XorQHE9Ctej8CpAj8L1KFyPKkCPwvUoXI8qQI/C9ShcjypAAAAAAACAKkDNzMzMzEwqQB+F61G4HipAAAAAAAAAKkBmZmZmZuYpQGZmZmZm5ilASOF6FK7HKUCuR+F6FK4pQK5H4XoUrilAH4XrUbieKUDD9Shcj8IpQK5H4XoUrilArkfhehSuKUDXo3A9ClcoQM3MzMzMTChAzczMzMxMKEAzMzMzMzMnQPYoXI/C9SZAw/UoXI/CKUCuR+F6FK4pQMP1KFyPwilA16NwPQpXK0AAAAAAAAAsQBSuR+F6FC1AzczMzMzMLEAzMzMzM7MsQKRwPQrXIy5AAAAAAAAAK0BmZmZmZmYrQGZmZmZmZitAzczMzMzMKkC4HoXrUbgqQLgehetRuCpAuB6F61G4KkC4HoXrUbgqQKRwPQrXoypASOF6FK7HKkBI4XoUrscqQArXo3A9CitACtejcD0KK0B7FK5H4foqQFyPwvUo3ClAexSuR+F6KUBxPQrXo3AoQKRwPQrXIyhAH4XrUbieJ0DD9Shcj8InQEjhehSuRylAAAAAAACALEAAAAAAAAArQDMzMzMzMytAZmZmZmZmK0BmZmZmZmYrQLgehetRuClAuB6F61G4KUC4HoXrUbgpQK5H4XoULilA7FG4HoVrKkAUrkfhehQrQAAAAAAAACtArkfhehQuK0BSuB6F61ErQFK4HoXrUStA16NwPQpXK0DD9Shcj0IrQMP1KFyPQitAUrgehetRLkBSuB6F61EuQJqZmZmZGTBASOF6FK6HMEBI4XoUrocwQEjhehSuhzBACtejcD2KMEDD9Shcj8IwQFK4HoXr0TBAFK5H4XqUMEAUrkfhepQwQBSuR+F6lDBAj8L1KFyPMEDNzMzMzAwyQK5H4XoULjJAFK5H4XoUMkB7FK5H4ToyQEjhehSuRzJASOF6FK5HMkCPwvUoXE8yQI/C9ShcjzJAFK5H4XqUMkA9CtejcD0yQI/C9ShcjzFAj8L1KFyPMUCuR+F6FG4xQK5H4XoUbjFArkfhehRuMUCuR+F6FG4xQK5H4XoUbjFArkfhehRuMUCuR+F6FG4xQK5H4XoUbjFArkfhehRuMUCuR+F6FG4xQK5H4XoUbjFAzczMzMyMMUDNzMzMzIwxQNejcD0KlzFA4XoUrkehMUDhehSuR6ExQOF6FK5HoTFA4XoUrkehMUBI4XoUrocxQClcj8L1aDFAKVyPwvVoMUApXI/C9WgxQKRwPQrXYzFACtejcD0KMUDXo3A9ChcxQK5H4XoUbjFAUrgeheuRMUBSuB6F6xEwQFK4HoXrETBAcT0K16PwL0DsUbgehestQBSuR+F6lC1AAAAAAACALEBxPQrXo3AsQHE9CtejcCxA7FG4HoXrKkBcj8L1KNwqQPYoXI/CdSpAUrgehetRK0AUrkfhehQsQBSuR+F6FCxAcT0K16PwLEDNzMzMzMwtQArXo3A9ii5AmpmZmZmZLkAUrkfhepQuQBSuR+F6lC5AXI/C9ShcLkBcj8L1KFwuQB+F61G4Hi5A9ihcj8L1LUDNzMzMzMwtQI/C9Shcjy1Aj8L1KFyPLUAK16NwPYotQFyPwvUo3CxA16NwPQpXK0D2KFyPwvUnQPYoXI/C9SdAexSuR+H6J0BmZmZmZuYnQGZmZmZm5idA4XoUrkfhJ0DhehSuR+EnQIXrUbgeBShA9ihcj8L1K0AK16NwPQotQJqZmZmZGStAAAAAAAAAKkBSuB6F69EpQK5H4XoUrilArkfhehSuKUApXI/C9agpQKRwPQrXoylApHA9CtejKUAUrkfhepQmQArXo3A9CidApHA9CtcjJUBSuB6F61ElQOF6FK5HYSVA4XoUrkdhJUAzMzMzMzMmQM3MzMzMTCdAuB6F61E4J0CkcD0K1yMnQKRwPQrXIydApHA9CtcjJ0BmZmZmZmYnQB+F61G4nidA7FG4HoVrJ0ApXI/C9SgnQFyPwvUo3CZAexSuR+H6JkB7FK5H4fomQHsUrkfh+iZAPQrXo3C9JkDD9Shcj8ImQOxRuB6FaydA9ihcj8J1J0D2KFyPwvUoQI/C9ShcDylA9ihcj8J1KUAUrkfhepQqQDMzMzMzMy5AuB6F61G4LkA9CtejcL0uQB+F61G4Hi9AMzMzMzOzL0AzMzMzM7MvQDMzMzMzsy9AMzMzMzOzL0D2KFyPwnUvQNejcD0K1y9AXI/C9SjcL0BI4XoUrscvQEjhehSuxy9ASOF6FK7HL0BI4XoUrscvQEjhehSuxy9AKVyPwvVoMEApXI/C9WgwQClcj8L1aDBAMzMzMzNzMUCuR+F6FG4xQOF6FK5HYTFA9ihcj8J1MkAAAAAAAIAyQB+F61G4njJAmpmZmZmZMkBmZmZmZqYyQGZmZmZmpjJAZmZmZmamMkBmZmZmZqYyQGZmZmZmpjJAZmZmZmamMkBmZmZmZqYyQGZmZmZmpjJAKVyPwvWoMkCuR+F6FG4yQFK4HoXrUTRAzczMzMwMNkBSuB6F69E3QKRwPQrXYzdAhetRuB4FN0D2KFyPwvU2QClcj8L16DZAH4XrUbgeN0AfhetRuB43QB+F61G4HjdAMzMzMzMzN0AzMzMzMzM3QDMzMzMzMzdArkfhehTuN0CuR+F6FO43QK5H4XoU7jdArkfhehTuN0AAAAAAAIA5QM3MzMzMzDlAFK5H4XrUOUB7FK5H4bo5QK5H4XoUrjlAcT0K16OwOUCuR+F6FK45QK5H4XoUrjlAXI/C9SicOUDsUbgehas3QD0K16NwPTZAw/UoXI+CNkAzMzMzM3M2QLgehetReDZAuB6F61F4NkC4HoXrUXg2QAAAAAAAgDZAAAAAAACANkDNzMzMzIw2QGZmZmZm5jZArkfhehSuNkAK16NwPco2QFyPwvUoXDZA9ihcj8K1NkC4HoXrUbg2QJqZmZmZWTZAcT0K16OwNUCamZmZmdk1QOF6FK5H4TVA4XoUrkfhNUDhehSuR+E1QAAAAAAAwDVAZmZmZmYmNEBcj8L1KBw0QI/C9ShcDzRA7FG4HoUrNUAzMzMzM/M2QDMzMzMz8zZA7FG4HoXrNkAK16NwPco2QMP1KFyPwjZAKVyPwvVoNkDhehSuR2E2QHsUrkfhOjZAMzMzMzNzNkCPwvUoXE82QKRwPQrXYzdA16NwPQqXNUAUrkfhelQ1QBSuR+F61DVAuB6F61G4NUCuR+F6FG41QK5H4XoUbjVAUrgehevRNkBSuB6F69E2QHE9Ctej8DZAj8L1KFzPNkAzMzMzM7M3QNejcD0K1zdA16NwPQrXN0CkcD0K1yM4QKRwPQrXIzhApHA9CtcjOEAK16NwPYo3QBSuR+F6VDlAFK5H4XpUOUAK16NwPUo4QArXo3A9SjhACtejcD1KOEAfhetRuF43QLgehetRODdA16NwPQoXN0DXo3A9Chc3QArXo3A9CjdACtejcD0KN0ApXI/C9eg2QK5H4XoU7jZArkfhehTuNkD2KFyPwvU2QKRwPQrXIzdArkfhehRuOEDhehSuR6E4QK5H4XoUbjhA7FG4HoUrNkBxPQrXo3A0QMP1KFyPgjJAhetRuB6FMkCF61G4HoUyQHE9CtejsDJArkfhehSuMkC4HoXrUXgyQMP1KFyPgjJApHA9CtejMkBcj8L1KBwzQFK4HoXrUTNASOF6FK4HNEDNzMzMzEwzQM3MzMzMTDNAzczMzMxMM0A9CtejcH0zQOxRuB6F6zFAzczMzMzMMUAUrkfhetQxQBSuR+F61DFAZmZmZmbmMUAUrkfhehQyQB+F61G4HjJAH4XrUbgeMkD2KFyPwjUyQHE9CtejMDJA9ihcj8I1MkAzMzMzM/MxQMP1KFyPAjJAPQrXo3D9MUDNzMzMzIwyQM3MzMzMjDJA16NwPQqXMkDXo3A9CpcyQHE9CtejsDJA16NwPQpXMkAUrkfhelQyQLgehetRODJA4XoUrkchMkAAAAAAAMAxQD0K16NwvTFAhetRuB7FMUApXI/C9agxQD0K16NwfTFAcT0K16NwMUBxPQrXo3AxQHE9CtejcDFA9ihcj8J1MUB7FK5H4XoxQOxRuB6FazNAH4XrUbieNEDNzMzMzIwzQHE9CtejsDFAcT0K16OwMUCPwvUoXA80QKRwPQrXYzRA9ihcj8J1NED2KFyPwnU0QDMzMzMzczRAmpmZmZnZM0ApXI/C9agzQHE9CtejsDNA7FG4HoUrMkApXI/C9SgyQArXo3A9SjJAmpmZmZnZMUApXI/C9egxQAAAAAAAQDNAAAAAAABAM0DsUbgehesxQMP1KFyPAjJApHA9CtfjMUApXI/C9egxQM3MzMzMDDFAw/UoXI8CMUDXo3A9ChcxQFyPwvUo3DBAcT0K16PwMEBxPQrXo/AwQHE9Ctej8DBAUrgehetRLkCF61G4HoUuQIXrUbgehS5AcT0K16PwLkBxPQrXo/AuQClcj8L1qC1AmpmZmZmZLUCamZmZmZktQJqZmZmZmS1AmpmZmZmZLUBcj8L1KNwuQPYoXI/C9S5A7FG4HoXrLkD2KFyPwvUuQOxRuB6F6y5A4XoUrkfhLkDNzMzMzEwsQHE9Ctej8CtAcT0K16PwK0A9CtejcL0rQD0K16NwvStASOF6FK5HK0DD9Shcj0IrQOF6FK5HYStAKVyPwvUoK0BI4XoUrkcrQEjhehSuRytAw/UoXI9CK0AK16NwPQorQHsUrkfh+ilAj8L1KFyPKUApXI/C9SgoQClcj8L1KChArkfhehSuKECuR+F6FK4oQGZmZmZmZitA9ihcj8L1LEDD9Shcj0ItQIXrUbgehS1AAAAAAACALUDXo3A9ClctQPYoXI/C9SxASOF6FK7HLEBI4XoUrscsQJqZmZmZmSxAw/UoXI9CLUA9CtejcD0tQLgehetROC1Aj8L1KFyPLkDD9ShcjwIwQLgehetRODBAMzMzMzPzMEBcj8L1KJwxQOF6FK5HYTJAexSuR+E6MkB7FK5H4ToyQHsUrkfhOjJAexSuR+E6MkAAAAAAAEAyQDMzMzMz8zJAZmZmZmamM0BI4XoUrsczQB+F61G4njRAXI/C9SicNEDhehSuR6E0QFyPwvUonDVAXI/C9SicNUCuR+F6FG42QClcj8L1aDZAuB6F61F4NECF61G4HkUzQM3MzMzMzDNAhetRuB7FM0AK16NwPcozQMP1KFyPgjFAMzMzMzMzMUBmZmZmZiYxQOxRuB6FKzFASOF6FK5HMUDhehSuR2ExQFK4HoXrUTFAAAAAAABAMUCuR+F6FC4xQD0K16NwPTFAhetRuB6FMUB7FK5H4XoxQNejcD0KVzFAhetRuB4FMEBSuB6F6xEwQM3MzMzMDDBA7FG4HoXrL0DsUbgehesvQMP1KFyPwi9AmpmZmZmZL0BmZmZmZmYvQD0K16NwPS9AMzMzMzMzL0CPwvUoXI8vQHE9CtejMDBAcT0K16MwMEB7FK5H4XoxQAAAAAAAgDFAUrgeheuRMUB7FK5H4XoxQM3MzMzMjDFArkfhehSuMUAAAAAAAMAxQClcj8L16DNAmpmZmZkZNkCkcD0K12M2QMP1KFyPwjVAexSuR+G6NUB7FK5H4bo1QPYoXI/CtTVAMzMzMzOzNUAK16NwPYo1QArXo3A9ijVAhetRuB6FNUCF61G4HoU1QMP1KFyPgjVASOF6FK6HNUA9CtejcH01QI/C9ShcjzVApHA9CtejNUAUrkfhepQ1QIXrUbgehTVAhetRuB6FNUD2KFyPwnU1QHE9CtejcDVAKVyPwvXoNUApXI/C9eg1QClcj8L16DVACtejcD0KNkBI4XoUrsc1QEjhehSuxzVAexSuR+E6NEAzMzMzM3MzQHE9CtejMDNAw/UoXI8CM0DD9ShcjwIzQJqZmZmZGTNA7FG4HoVrM0AUrkfhepQ0QDMzMzMzszRAuB6F61H4NEBI4XoUroc1QBSuR+F6lDVAXI/C9SicNUAzMzMzMzM1QOF6FK5HITVAXI/C9ShcNEBxPQrXo7AzQPYoXI/C9TJApHA9CtdjMkCF61G4HoUyQIXrUbgehTJAhetRuB6FMkCF61G4HoUyQAAAAAAAgDJAzczMzMzMMUAAAAAAAEAxQNejcD0KFzFAAAAAAABAMEDNzMzMzAwxQOxRuB6FKzFAcT0K16MwMEA9CtejcD0yQGZmZmZmZjFAKVyPwvVoMUDsUbgehWsxQPYoXI/CdTFAAAAAAACAMUAK16NwPYoxQIXrUbgehTFArkfhehRuMUApXI/C9WgxQMP1KFyPgjFAPQrXo3B9MUB7FK5H4XoxQOF6FK5HYTFAZmZmZmZmMUCuR+F6FK4xQOF6FK5HoTFAXI/C9SicMUAzMzMzMzMxQHsUrkfhujFAw/UoXI/CMUBxPQrXo/AxQK5H4XoU7jFAUrgehesRMkCPwvUoXE8yQI/C9ShcTzJA9ihcj8K1MkD2KFyPwrUyQMP1KFyPwjJAw/UoXI/CMkD2KFyPwrUyQD0K16NwfTJAFK5H4XoUMkAUrkfhehQyQEjhehSuxzBAKVyPwvWoMEBmZmZmZqYwQEjhehSuhzBA9ihcj8J1MEDhehSuR2EwQI/C9ShcTzBAzczMzMxMLEDsUbgehesnQPYoXI/CdSdAPQrXo3C9J0DD9Shcj8InQMP1KFyPwidAw/UoXI/CJ0Bcj8L1KNwnQHE9Ctej8ClAexSuR+H6KUD2KFyPwvUpQPYoXI/C9SlACtejcD0KK0AAAAAAAAArQHE9CtejcCtA7FG4HoVrK0ApXI/C9SgrQClcj8L1KCtAKVyPwvUoK0DD9Shcj0IrQMP1KFyPQitASOF6FK5HK0DNzMzMzEwqQI/C9ShcjypAcT0K16NwLEC4HoXrUTgsQLgehetROCxAw/UoXI9CLEDNzMzMzEwsQFK4HoXr0SxAMzMzMzMzLUCuR+F6FC4tQK5H4XoULi1AAAAAAAAALUDhehSuR2EsQI/C9ShcDypAPQrXo3C9K0AUrkfhehQtQFyPwvUoXCxASOF6FK7HLEDhehSuR+EtQD0K16NwPS1A7FG4HoXrK0DsUbgehesrQM3MzMzMzCtAmpmZmZkZLEBSuB6F69EsQI/C9ShcjyxAmpmZmZkZL0DXo3A9ChcwQNejcD0KFzBAXI/C9SgcMEDNzMzMzEwwQGZmZmZmJjBACtejcD1KMEB7FK5H4XowQFyPwvUoXC9AFK5H4XoUL0AzMzMzMzMvQPYoXI/CdSxA9ihcj8L1LEAUrkfhepQvQIXrUbgeBTBA9ihcj8L1L0BI4XoUrscuQD0K16NwvS5APQrXo3C9LkD2KFyPwvUvQPYoXI/C9S9AzczMzMwMMEAfhetRuB4wQHE9CtejcDBAuB6F61F4MECuR+F6FG4wQClcj8L1KDBAFK5H4XrUMEDNzMzMzIwxQM3MzMzMjDFA4XoUrkchMUBSuB6F65ExQFK4HoXrETJASOF6FK4HMkCamZmZmdkxQFyPwvUonDFAH4XrUbjeMUA9CtejcL0xQOF6FK5H4TJAFK5H4XrUMkBSuB6F61E0QFK4HoXrUTRAw/UoXI9CNUBcj8L1KJw1QJqZmZmZ2TVAKVyPwvXoNUApXI/C9eg1QJqZmZmZ2TVAmpmZmZnZNUCkcD0K1+M1QBSuR+F6FDZA4XoUrkchNkBmZmZmZiY2QGZmZmZmJjZAcT0K16MwNkCPwvUoXA82QAAAAAAAQDZAAAAAAABANkAAAAAAAEA2QLgehetRODZArkfhehQuNUBmZmZmZmY1QK5H4XoUbjVAmpmZmZmZNUBcj8L1KBw1QFyPwvUoHDVAMzMzMzPzNEDsUbgehes0QHsUrkfh+jRAexSuR+H6NEB7FK5H4fo0QK5H4XoU7jRAexSuR+H6NEC4HoXrUfg0QLgehetR+DRAH4XrUbgeNUCPwvUoXE80QArXo3A9SjRACtejcD1KNEAUrkfhelQ0QNejcD0KVzRAFK5H4XoUNECF61G4HgU0QLgehetRODRAmpmZmZlZNEB7FK5H4Xo0QClcj8L1qDVA7FG4HoWrNUC4HoXrUfg0QNejcD0KFzRAXI/C9SicM0CkcD0K12MzQArXo3A9CjNACtejcD0KM0AK16NwPQozQI/C9ShcDzNAj8L1KFwPM0AzMzMzM/MyQClcj8L1aDJAKVyPwvVoMkCkcD0K1yMxQJqZmZmZmTBAmpmZmZmZMEAUrkfhepQwQEjhehSuBzFA4XoUrkchMUBxPQrXo/AwQMP1KFyPwjBAw/UoXI/CMEDD9Shcj8IwQFK4HoXrUTFApHA9CtejMEAzMzMzM3MwQDMzMzMzsy9AuB6F61E4L0C4HoXrUTgvQK5H4XoULi9ASOF6FK6HMUBSuB6F65ExQHsUrkfh+jBAexSuR+H6MEAK16NwPcowQIXrUbgexTBAPQrXo3C9MUD2KFyPwrUxQBSuR+F6lDNApHA9CtejM0AAAAAAAAAzQD0K16NwPTJAPQrXo3A9MkDD9Shcj0IyQHsUrkfh+jFAUrgehetRMUCkcD0K12MxQKRwPQrXYzFArkfhehRuMUC4HoXrUTgxQDMzMzMz8zBAH4XrUbieL0AfhetRuJ4vQI/C9ShcDy1Aj8L1KFwPLUDhehSuR2ErQNejcD0K1ypAFK5H4XqUKkAUrkfhepQqQDMzMzMzsypAMzMzMzOzKkAzMzMzM7MqQKRwPQrXoypAKVyPwvUoKkC4HoXrUTgqQI/C9ShcjypArkfhehSuKkCF61G4HoUqQAAAAAAAgCpAH4XrUbgeKkAfhetRuB4qQKRwPQrXIypAmpmZmZkZKkB7FK5H4XorQAAAAAAAACtAcT0K16PwKkCamZmZmZkqQAAAAAAAgCpAAAAAAACAKkDhehSuR2EqQB+F61G4HixAexSuR+H6K0BI4XoUrsctQEjhehSuxy1AhetRuB6FLkDsUbgehWsuQOxRuB6Fay5A7FG4HoVrLkBmZmZmZuYtQB+F61G4ni1AcT0K16PwLUAAAAAAAAAuQHE9Ctej8C1AZmZmZmbmLUBmZmZmZuYtQAAAAAAAgC1AcT0K16PwL0CPwvUoXI8wQBSuR+F6VDFAj8L1KFyPMUAzMzMzM3MyQHE9CtejMDNAH4XrUbieM0B7FK5H4fo0QOxRuB6FazVAj8L1KFyPNUBSuB6F65E1QBSuR+F6FDZAUrgehesRNkAUrkfhehQ2QHE9Ctej8DZA16NwPQpXOEAUrkfhetQ4QBSuR+F61DhAFK5H4XrUOECuR+F6FO44QPYoXI/CtTlAuB6F61E4OUDD9Shcj0I5QDMzMzMzczlAj8L1KFyPOUCPwvUoXI85QD0K16Nw/TpAZmZmZmZmOkBmZmZmZmY6QNejcD0KVzpAH4XrUbieOUAfhetRuJ45QJqZmZmZ2TlAmpmZmZnZOUBcj8L1KJw4QJqZmZmZmThAmpmZmZmZOECamZmZmZk4QJqZmZmZmThAzczMzMyMOEBmZmZmZmY3QGZmZmZmZjdASOF6FK6HNUBxPQrXo3A1QPYoXI/CdTVAhetRuB6FNUDXo3A9Ctc1QAAAAAAAADZAmpmZmZnZNUCPwvUoXM81QArXo3A9yjVAFK5H4XrUNUAK16NwPco1QArXo3A9yjVAzczMzMzMNUDXo3A9Clc2QFK4HoXrETdAKVyPwvVoOEApXI/C9Wg4QEjhehSuRzhAMzMzMzMzOEDXo3A9Chc4QNejcD0KFzhASOF6FK4HOECamZmZmRk4QClcj8L1KDhAZmZmZmYmOEApXI/C9Sg4QNejcD0KFzhAZmZmZmbmN0CuR+F6FC45QOxRuB6FKzlA7FG4HoUrOUBcj8L1KBw5QFyPwvUoHDlAH4XrUbgeOUCuR+F6FC45QOF6FK5H4ThAKVyPwvXoOEBcj8L1KJw5QFyPwvUonDlAXI/C9SicOUBcj8L1KJw5QFyPwvUonDlAAAAAAADAOEDsUbgehes4QEjhehSuhzhASOF6FK6HOEApXI/C9Sg4QIXrUbgeRThAH4XrUbheOEBmZmZmZmY4QHE9CtejcDhA9ihcj8J1OEAUrkfhelQ4QB+F61G4XjhAcT0K16NwOEDNzMzMzIw4QNejcD0KlzhA4XoUrkehOEAAAAAAAEA3QEjhehSuhzZA4XoUrkehNUBSuB6F61E0QOxRuB6FKzRACtejcD0KNEAUrkfhetQzQClcj8L1aDJA7FG4HoXrMUDNzMzMzIwxQFyPwvUo3DFAKVyPwvXoMUCuR+F6FO4yQIXrUbgeRTNAH4XrUbheMkAzMzMzM/MwQPYoXI/CdTBA9ihcj8J1MEDhehSuR+EwQEjhehSuxzBA16NwPQrXMEBxPQrXo7AwQGZmZmZmpjBAcT0K16OwMEDNzMzMzMwwQI/C9ShczzBAXI/C9ShcL0BSuB6F61EvQArXo3A9ii9AZmZmZmZmMUAAAAAAAAAyQJqZmZmZWTNAcT0K16MwNUAzMzMzMzM1QOxRuB6F6zZA7FG4HoXrNkApXI/C9eg2QClcj8L16DZAuB6F61H4NkBI4XoUrgc3QI/C9ShcDzdAj8L1KFwPN0CPwvUoXA83QBSuR+F6FDdA4XoUrkchN0DsUbgehSs3QOxRuB6F6zZA7FG4HoWrNkCkcD0K16M2QKRwPQrXozZAKVyPwvWoNkBxPQrXo7A2QHE9CtejsDZApHA9CtejNkApXI/C9ag2QMP1KFyPAjdASOF6FK5HNkDXo3A9Ctc0QNejcD0K1zRAFK5H4XrUNEAUrkfhetQ0QBSuR+F61DRAzczMzMzMNECPwvUoXM80QD0K16NwvTRAPQrXo3D9NEA9CtejcP00QHsUrkfh+jRAmpmZmZkZNUCamZmZmRk1QMP1KFyPwjNAAAAAAADAM0AAAAAAAMAzQMP1KFyPwjNAw/UoXI/CM0A9CtejcL0zQArXo3A9CjRAFK5H4XoUNEDNzMzMzAw0QLgehetReDNA16NwPQqXM0DXo3A9CpczQNejcD0KlzNA16NwPQqXM0DNzMzMzIwzQOF6FK5HYTNAH4XrUbjeMkAfhetRuN4yQB+F61G43jJAw/UoXI/CMkApXI/C9agyQOF6FK5HoTJAUrgeheuRMkDNzMzMzIwyQIXrUbgehTJAMzMzMzNzMkCamZmZmVkyQHsUrkfhOjJAcT0K16MwMkBI4XoUrkcyQAAAAAAAQDJAAAAAAABAMkAAAAAAAEAyQKRwPQrXIzJAZmZmZmZmMUAK16NwPYowQOF6FK5H4TBAcT0K16MwMUD2KFyPwjUxQPYoXI/CNTFApHA9CtfjMEAUrkfhelQwQEjhehSuxy5AH4XrUbgeLkDD9Shcj0IuQMP1KFyPQi5ASOF6FK5HLkBmZmZmZmYuQI/C9Shcjy1Aj8L1KFyPLUDhehSuR+ErQOF6FK5H4StAexSuR+H6K0BSuB6F69ErQFyPwvUoXCtA4XoUrkdhK0BmZmZmZuYqQK5H4XoULitA9ihcj8L1KkAzMzMzM7MnQAAAAAAAgCZAzczMzMzMI0BSuB6F61EfQI/C9ShcDyBAj8L1KFyPHECPwvUoXI8cQGZmZmZmZh1AZmZmZmZmHUBI4XoUrkcdQClcj8L1KB1Aj8L1KFyPHUCuR+F6FK4dQNejcD0K1x1AzczMzMzMHUBxPQrXo3AdQBSuR+F6FB1AmpmZmZmZHUBSuB6F61EdQArXo3A9iiNAXI/C9ShcKEAK16NwPQotQOxRuB6F6zBAmpmZmZlZMkCF61G4HoUyQD0K16NwfTJAmpmZmZmZMUBcj8L1KJwxQMP1KFyPgjFAhetRuB6FMUCPwvUoXI8xQI/C9ShcjzFAj8L1KFyPMUBI4XoUrocxQFyPwvUonDFAXI/C9SicMUCPwvUoXE8xQFK4HoXrUTFAUrgehetRMUAzMzMzMzMxQArXo3A9ijFACtejcD2KMUAK16NwPYoxQIXrUbgeRTJAFK5H4XoUM0BmZmZmZiYzQPYoXI/CNTNAmpmZmZnZMkDsUbgehWsyQOxRuB6FazJA7FG4HoVrMkDhehSuR2EyQMP1KFyPgjJAw/UoXI+CMkDD9Shcj4IyQMP1KFyPgjJAw/UoXI+CMkCamZmZmZkyQJqZmZmZmTJAmpmZmZmZMkBcj8L1KJwyQPYoXI/CtTJAH4XrUbieM0BmZmZmZqYzQArXo3A9yjNAAAAAAABANECuR+F6FO40QK5H4XoU7jRA4XoUrkchNUBI4XoUrgc2QD0K16NwPTdAH4XrUbieN0ApXI/C9Sg4QFK4HoXrETlAKVyPwvVoOUBxPQrXo/A5QArXo3A9ijpAj8L1KFzPO0BI4XoUrgc+QMP1KFyPAj5ASOF6FK4HPkBI4XoUrgc+QEjhehSuBz5AZmZmZmamPkCuR+F6FK4+QFyPwvUonD5AAAAAAABAP0AzMzMzM3M/QNejcD0KF0FAhetRuB6FQkCkcD0K12NDQMP1KFyPQkRAmpmZmZl5REBSuB6F63FFQB+F61G4XkVAFK5H4Xp0RUAzMzMzM5NFQIXrUbgepUVAUrgeheuRRUAzMzMzM5NFQBSuR+F6lEVAcT0K16PwRUBxPQrXo/BFQHE9Ctej8EVAuB6F61HYRUAUrkfhehRFQFK4HoXrEUVAAAAAAABARUBcj8L1KJxFQFK4HoXrsUVArkfhehSuRUAfhetRuH5FQKRwPQrXg0VAH4XrUbh+RUA9CtejcH1FQHE9CtejsEVAj8L1KFyvRUD2KFyPwpVFQPYoXI/ClUVAXI/C9ShcREBI4XoUridDQK5H4XoUTkJAH4XrUbh+QUDD9Shcj+JAQClcj8L1qEFACtejcD2qQUCuR+F6FO5CQGZmZmZmJkNAH4XrUbheQ0AAAAAAAGBDQHsUrkfhekNAAAAAAACAQ0AAAAAAAIBDQAAAAAAAgENAFK5H4Xp0Q0AUrkfhenRDQDMzMzMzc0NAUrgehetxQ0BSuB6F63FDQHE9CtejcENAhetRuB5FQ0CF61G4HkVDQIXrUbgeRUNASOF6FK7nQkAfhetRuH5CQHsUrkfhekJAMzMzMzNzQkAzMzMzM3NCQGZmZmZmZkNAH4XrUbi+REBxPQrXo7BEQGZmZmZmpkRA9ihcj8KVRED2KFyPwpVEQLgehetRmERAuB6F61GYREC4HoXrUZhEQM3MzMzMjERAFK5H4XqUREBcj8L1KJxEQHsUrkfhmkRArkfhehSORECamZmZmRlEQAAAAAAAIERAj8L1KFwPRED2KFyPwtVDQHE9CtejkENAcT0K16OQQ0DNzMzMzOxDQHsUrkfhekNAj8L1KFzPQkCuR+F6FM5CQDMzMzMzk0JAH4XrUbgeQkAzMzMzM/NBQK5H4XoUrkFAAAAAAABgQUBI4XoUrodAQI/C9Shcjz5Aj8L1KFyPPkBI4XoUrgc/QArXo3A9Cj9ACtejcD0KP0DD9Shcj4I/QPYoXI/CdT9AuB6F61F4P0CPwvUoXI8/QOF6FK5HYT9ArkfhehSuPEAfhetRuJ47QHE9Ctej8DlAuB6F61E4OEAK16NwPco3QDMzMzMzszVAMzMzMzOzNUBI4XoUrsc1QLgehetRuDVApHA9CtejNUDhehSuRyE2QB+F61G4HjZAMzMzMzMzNkB7FK5H4Xo1QHsUrkfhejVAexSuR+F6NUD2KFyPwnU1QHE9CtejcDVAuB6F61F4NUAK16NwPQo2QArXo3A9yjZA16NwPQqXNkDXo3A9Cpc2QOF6FK5HoTZAXI/C9SicNkBmZmZmZqY2QBSuR+F61DZA9ihcj8J1NkDXo3A9Clc3QK5H4XoUrjdASOF6FK4HOEBcj8L1KBw4QFyPwvUoHDhAZmZmZmZmN0DNzMzMzIw2QJqZmZmZWTZA4XoUrkehNEDsUbgehas0QK5H4XoULjJAAAAAAADAMUCPwvUoXE8xQArXo3A9SjFACtejcD0KMUAAAAAAAAAxQAAAAAAAADFAAAAAAAAAMUApXI/C9WgxQLgehetReDFASOF6FK6HMUDXo3A9CpcxQGZmZmZmpjFA9ihcj8K1MUCF61G4HsUxQEjhehSuxzFACtejcD3KMUAK16NwPcoxQArXo3A9yjFAAAAAAADAMUCF61G4HsUxQEjhehSuxzFAw/UoXI/CL0AAAAAAAIAqQHsUrkfheipAexSuR+F6KkB7FK5H4XoqQHsUrkfheipAcT0K16NwKkB7FK5H4XoqQBSuR+F6FC1AFK5H4XoULUD2KFyPwvUsQNejcD0K1yxA16NwPQrXLEDXo3A9CtcsQFyPwvUo3CxAzczMzMzMLEDhehSuR+EsQFyPwvUo3CxAFK5H4XqULEAfhetRuJ4sQEjhehSuxypASOF6FK7HKkApXI/C9SgrQHE9CtejcCpASOF6FK5HKkBI4XoUrkcqQEjhehSuRypAXI/C9ShcKkBcj8L1KFwqQIXrUbgeBSpAhetRuB4FKkCF61G4HgUqQM3MzMzMzClASOF6FK7HKUBSuB6F69EpQI/C9ShcjydAj8L1KFyPJ0DNzMzMzEwoQNejcD0K1yZASOF6FK7HJkCPwvUoXI8nQPYoXI/C9SNACtejcD0KJ0AzMzMzM7MtQMP1KFyPAjBAzczMzMwMMED2KFyPwnUwQD0K16NwPTBAmpmZmZkZMEBcj8L1KBwwQMP1KFyPQi9ArkfhehQuMEDXo3A9ChcwQNejcD0KFzBAH4XrUbgeMEBmZmZmZiYwQJqZmZmZWTBAPQrXo3B9M0AzMzMzM3MzQM3MzMzMDDNAmpmZmZlZMkCamZmZmVkyQJqZmZmZWTJAj8L1KFxPMkDD9Shcj0IyQLgehetRODJACtejcD0KMkDXo3A9ChcyQLgehetRODFA4XoUrkfhMEBI4XoUrocwQPYoXI/C9TBAuB6F61H4MEC4HoXrUfgwQLgehetR+DBA9ihcj8L1MEB7FK5H4fowQK5H4XoU7jBApHA9CtfjMEAfhetRuN4wQFyPwvUo3DBA4XoUrkfhMEC4HoXrUfgwQI/C9ShcDzFAj8L1KFwPMUBmZmZmZiYxQD0K16NwvTBAuB6F61G4MEApXI/C9agwQFyPwvUonDBAj8L1KFyPMEA9CtejcD0xQLgehetReDFACtejcD3KMkD2KFyPwvUyQPYoXI/C9TJAuB6F61H4MkC4HoXrUfgyQOF6FK5HYTNAZmZmZmbmM0DD9Shcj4I0QDMzMzMzczRAexSuR+F6NEBcj8L1KJw0QIXrUbgexTRAhetRuB7FNECF61G4HsU0QB+F61G43jRA4XoUrkehM0BxPQrXo7AzQJqZmZmZ2TNAexSuR+H6M0B7FK5H4fozQHsUrkfh+jNAw/UoXI8CNED2KFyPwvUzQHE9CtejcDRAXI/C9SicNECPwvUoXM80QArXo3A9yjRAUrgehevRNECPwvUoXM80QB+F61G4njRAmpmZmZmZNECamZmZmZk0QJqZmZmZmTRAXI/C9SicNEAUrkfhepQ0QBSuR+F6lDRAzczMzMyMNECF61G4HoU0QOF6FK5HoTRAAAAAAABANEAAAAAAAEA0QDMzMzMzczRASOF6FK6HNEC4HoXrUbg0QNejcD0KVzRA16NwPQpXNEDXo3A9Clc0QB+F61G43jNA4XoUrkfhM0BI4XoUrkcyQFyPwvUo3C1ACtejcD2KK0AAAAAAAIArQK5H4XoUripApHA9CtejKkCF61G4HoUqQMP1KFyPQipAPQrXo3A9KkDD9Shcj0IpQMP1KFyPQilAzczMzMxMKUBI4XoUrscpQK5H4XoUripASOF6FK5HLECF61G4HgUmQIXrUbgeBSZAFK5H4XqUJEAK16NwPQojQAAAAAAAgCRAUrgehetRJkDXo3A9ClcmQNejcD0KVyZA16NwPQpXJkDXo3A9ClcmQClcj8L1KCZApHA9CtcjJkApXI/C9SgmQDMzMzMzMyZArkfhehQuJUApXI/C9SglQLgehetROCVAzczMzMxMJUDNzMzMzEwlQM3MzMzMTCVAXI/C9ShcJUBcj8L1KFwlQFyPwvUoXCVAZmZmZmZmJUCamZmZmRkmQHsUrkfh+iVA16NwPQrXJUDhehSuR2EmQBSuR+F6lCZArkfhehSuJkApXI/C9agnQM3MzMzMTClAmpmZmZkZKkCamZmZmRkqQB+F61G4nihAFK5H4XoUKEBxPQrXo3AlQClcj8L1KCVA7FG4HoVrJkCPwvUoXI8mQLgehetRuCZA4XoUrkfhJUBmZmZmZuYkQPYoXI/C9SNA9ihcj8L1JUBmZmZmZuYlQKRwPQrXoyVAUrgehetRJUAUrkfhepQlQFyPwvUo3CVAMzMzMzMzJkDsUbgehesnQMP1KFyPwihAcT0K16NwKECuR+F6FC4oQK5H4XoULihAexSuR+F6KUBmZmZmZmYpQGZmZmZmZilA16NwPQpXKEAAAAAAAAAoQJqZmZmZmSdASOF6FK7HJ0DXo3A9CtcnQAAAAAAAAChACtejcD0KKEAUrkfhehQoQMP1KFyPQihAcT0K16NwKEDsUbgehWsoQGZmZmZmZihA9ihcj8J1KEB7FK5H4XooQHsUrkfheihAw/UoXI9CKEAfhetRuJ4oQM3MzMzMzClAUrgehetRLkCPwvUoXA8uQK5H4XoUri1ArkfhehSuLUDNzMzMzMwtQOF6FK5H4S1Aj8L1KFwPL0CPwvUoXA8vQKRwPQrXIy9AZmZmZmZmL0BxPQrXo3AvQHE9Ctej8C9A9ihcj8I1MEAzMzMzMzMwQDMzMzMzMzBAMzMzMzMzMEDD9Shcj4IwQFyPwvUo3DBApHA9CtfjMEBmZmZmZuYwQKRwPQrXozBAKVyPwvUoMEBSuB6F61EuQBSuR+F6lC5AFK5H4XqULkAfhetRuJ4uQB+F61G4ni5AKVyPwvUoLUD2KFyPwvUrQHE9Ctej8CtAzczMzMxMLEApXI/C9agsQClcj8L1qCxArkfhehSuLEDhehSuR+EuQFyPwvUo3C5Aj8L1KFwPL0DNzMzMzEwvQM3MzMzMTC9AZmZmZmZmL0AUrkfhehQxQBSuR+F6FDFAmpmZmZlZMUBmZmZmZmYxQMP1KFyPwjFAhetRuB7FMUAAAAAAAMAxQKRwPQrXYzFA4XoUrkfhMUB7FK5H4ToyQPYoXI/C9TFAFK5H4XrUMUBSuB6F69ExQM3MzMzMTDFAAAAAAACAMEBcj8L1KBwwQAAAAAAAwDBAMzMzMzNzMUCuR+F6FG4xQOxRuB6FazFA7FG4HoVrMUAK16NwPcowQPYoXI/CtTBAj8L1KFzPMEBSuB6F69EwQM3MzMzMzDBArkfhehSuMEBcj8L1KFwvQGZmZmZmZi9AexSuR+F6L0A9CtejcL0wQFyPwvUonDBAuB6F61F4MEDhehSuR2EwQOxRuB6F6y5A9ihcj8L1LUCamZmZmRkuQJqZmZmZGS5APQrXo3A9LkAK16NwPQotQI/C9Shcjy1AMzMzMzOzLUAzMzMzM7MtQDMzMzMzsy1AMzMzMzOzLUCF61G4HoUtQGZmZmZmZi1APQrXo3A9LUBI4XoUrkctQD0K16NwPS1AFK5H4XoULUBmZmZmZuYsQLgehetROC1AuB6F61E4LUApXI/C9SgtQClcj8L1KC1AzczMzMxMLUDsUbgehWstQI/C9ShcDy1A4XoUrkfhK0DsUbgehesmQK5H4XoULidArkfhehQuJ0CuR+F6FC4nQB+F61G4HidAZmZmZmZmKUAzMzMzMzMoQDMzMzMzMyhASOF6FK5HKEBSuB6F61EoQB+F61G4nihAFK5H4XoUKECamZmZmZknQJqZmZmZmSdA16NwPQpXKECF61G4HoUoQD0K16NwPShAj8L1KFyPJ0AAAAAAAIAnQIXrUbgehSdAw/UoXI/CJ0CF61G4HgUoQLgehetROChAcT0K16PwJ0AAAAAAAAAoQGZmZmZm5idAhetRuB4FKECamZmZmRkoQI/C9ShcjydAj8L1KFyPJ0D2KFyPwnUnQDMzMzMzMydA16NwPQpXJ0BmZmZmZmYnQEjhehSuRyVASOF6FK5HJUCPwvUoXA8lQFK4HoXr0SRAUrgehevRJECuR+F6FK4kQFyPwvUo3CFAXI/C9SjcIUDsUbgehWshQHsUrkfh+iFAZmZmZmZmIUC4HoXrUbgiQDMzMzMzsyNAw/UoXI9CKEA9CtejcD0nQBSuR+F6lCZAFK5H4XqUJkCPwvUoXI8mQHsUrkfheiZA9ihcj8J1JkDsUbgehWsmQOF6FK5HYSZAFK5H4XoUJUCuR+F6FK4jQFyPwvUo3CNAXI/C9SjcI0BI4XoUrscjQEjhehSuxyNASOF6FK7HI0DsUbgehWsjQK5H4XoUriNApHA9CtejI0AfhetRuJ4jQClcj8L1qCNArkfhehSuI0CamZmZmZkjQClcj8L1qCFASOF6FK7HIUDsUbgeheshQIXrUbgehSFAj8L1KFyPIUCamZmZmZkhQBSuR+F6lCFAFK5H4XqUIUBxPQrXo3AhQPYoXI/CdSFAAAAAAAAAIUCF61G4HoUiQArXo3A9iiJAuB6F61G4IkA9CtejcL0iQD0K16NwvSJAPQrXo3C9IkApXI/C9SgjQEjhehSuRyNASOF6FK5HI0DD9Shcj0IjQEjhehSuRyNA9ihcj8L1IkCamZmZmRklQK5H4XoULiVAZmZmZmbmJkDNzMzMzMwmQHE9CtejcCdAexSuR+F6J0AAAAAAAIAnQI/C9ShcjydAzczMzMxMJ0DNzMzMzEwnQFyPwvUoXCdAcT0K16PwJ0AUrkfhepQlQBSuR+F6lCVAj8L1KFyPJUD2KFyPwnUlQD0K16NwPSVAcT0K16NwJUBxPQrXo3AlQHE9CtejcCVAcT0K16NwJUAzMzMzM7MkQBSuR+F6lCRAw/UoXI/CJUAfhetRuJ4lQLgehetRuCZAKVyPwvWoJkCF61G4HoUnQClcj8L1qCdAKVyPwvWoKUDD9Shcj8IpQM3MzMzMzClAzczMzMzMKUBI4XoUrscrQM3MzMzMzCtA9ihcj8L1LEBcj8L1KNwtQClcj8L1qC1ApHA9CtejLUBI4XoUrsctQDMzMzMzsy1ApHA9CtejLUC4HoXrUbgwQPYoXI/CtTBA9ihcj8K1MED2KFyPwrUwQPYoXI/CtTBAMzMzMzOzMEAzMzMzM7MwQOF6FK5HoTBAhetRuB5FMEAzMzMzMzMwQHsUrkfhei9AAAAAAACALkCF61G4HgUqQAAAAAAAACpA7FG4HoXrKUBI4XoUrscqQAAAAAAAACtAmpmZmZkZK0DhehSuR2EsQOF6FK5HYSxA4XoUrkdhLEBmZmZmZqYxQEjhehSuhzNAw/UoXI8CN0CF61G4HgU3QEjhehSuBzdACtejcD0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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
       "  var render_items = [{\"docid\":\"8af8cee3-e1e6-4c5d-a7cb-d8353f3e6091\",\"roots\":{\"bdc9354e-731a-4243-8d15-56199af77fce\":\"f9e206ed-7ca4-4aa7-a310-e0cd4c3ca232\"},\"root_ids\":[\"bdc9354e-731a-4243-8d15-56199af77fce\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
       "  function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "    for (const render_item of render_items) {\n",
       "      for (const root_id of render_item.root_ids) {\n",
       "\tconst id_el = document.getElementById(root_id)\n",
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       "\t  const root_el = id_el.children[0]\n",
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      ],
      "text/plain": [
       ":Curve   [End_time]   (Rolling_Avg_Days_to_Merge)"
      ]
     },
     "execution_count": 77,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "bdc9354e-731a-4243-8d15-56199af77fce"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# chart the rolling average of time to merge\n",
    "\n",
    "# filter out rows with NaN End_time values\n",
    "\n",
    "df = df[df['End_time'].notna()]\n",
    "\n",
    "# calculate the time to merge for each pull request in days\n",
    "\n",
    "df['Days_to_Merge'] = (pd.to_datetime(df['End_time']) - pd.to_datetime(df['Start_time'])).dt.days\n",
    "\n",
    "# sort rows by End_time\n",
    "\n",
    "df = df.sort_values(by=['End_time'], ascending=True)\n",
    "\n",
    "# calculate the rolling average of time to merge for each pull request in days\n",
    "\n",
    "df['Rolling_Avg_Days_to_Merge'] = df['Days_to_Merge'].rolling(window=100).mean()\n",
    "\n",
    "# remove the first 99 rows (which have NaN values for the rolling average)\n",
    "\n",
    "df = df.iloc[99:]\n",
    "\n",
    "# graph the rolling average of time to merge without the time values on the x-axis (since they're not meaningful)\n",
    "\n",
    "rolling_avg_days_to_merge_plot = df.hvplot(kind='line',\n",
    "                                            x='End_time',\n",
    "                                            y='Rolling_Avg_Days_to_Merge',\n",
    "                                            width=600,\n",
    "                                            height=600,\n",
    "                                            title='Rolling Average of Time to Merge')\n",
    "rolling_avg_days_to_merge_plot\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df = pd.read_csv(\"Discussions_Data/Discussions_v1/Database/github_discussion_data.csv\")\n",
    "\n",
    "# df['Year'] = pd.to_datetime(df['Created At']).dt.year\n",
    "# df['Month'] = pd.to_datetime(df['Created At']).dt.month\n",
    "# df['Day'] = pd.to_datetime(df['Created At']).dt.day\n",
    "\n",
    "# # id the first comment\n",
    "# # time difference from original post to first comment\n",
    "# # rolling average of time difference from original post to first comment\n",
    "\n",
    "# # get the earliest comment for each discussion where the comment id is not NaN and store the time that the original post was created\n",
    "# earliest_comment = df[df['Comment ID'].notnull()].groupby(['Discussion ID']).first().reset_index()[['Discussion ID', 'Created At']]\n",
    "# # time difference from original post to first comment\n",
    "# earliest_comment['Time Difference'] = pd.to_datetime(earliest_comment['Created At']) - pd.to_datetime(earliest_comment['Created At'])\n",
    "# # rolling average of time difference from original post to first comment\n",
    "# # convert time difference to seconds\n",
    "# earliest_comment['Time Difference'] = earliest_comment['Time Difference'].dt.total_seconds()\n",
    "# earliest_comment['Rolling Average'] = earliest_comment['Time Difference'].rolling(10).mean()\n",
    "# # visualize the rolling average\n",
    "# earliest_comment.hvplot(x='Discussion ID', y='Rolling Average', width=600, height=600, title='Rolling Average of Time Difference from Original Post to First Comment')\n",
    "\n",
    "# df.head()\n",
    "# earliest_comment.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "6bfe4960",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Launching server at http://localhost:55473\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/util.py:1175: FutureWarning: unique with argument that is not not a Series, Index, ExtensionArray, or np.ndarray is deprecated and will raise in a future version.\n",
      "  return pd.unique(values)\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n",
      "/Users/asukh/Library/Python/3.9/lib/python/site-packages/holoviews/core/data/pandas.py:39: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
      "  return dataset.data.dtypes[idx].type\n",
      "WARNING:bokeh.core.validation.check:W-1005 (FIXED_SIZING_MODE): 'fixed' sizing mode requires width and height to be set: Column(id='b52359f6-3f23-41a9-af04-f920994752bb', ...)\n",
      "WARNING:bokeh.core.validation.check:W-1005 (FIXED_SIZING_MODE): 'fixed' sizing mode requires width and height to be set: Column(id='b8de1d8d-d795-4e0f-831b-1491ff5921ea', ...)\n",
      "WARNING:bokeh.core.validation.check:W-1005 (FIXED_SIZING_MODE): 'fixed' sizing mode requires width and height to be set: Row(id='a814bd3c-d199-4c24-bcc6-9bad137c7a1f', ...)\n",
      "WARNING:bokeh.core.validation.check:W-1005 (FIXED_SIZING_MODE): 'fixed' sizing mode requires width and height to be set: Column(id='e6d126c1-470d-49c9-989e-bfe41738386f', ...)\n"
     ]
    }
   ],
   "source": [
    "template = pn.template.FastListTemplate(theme=\"dark\",\n",
    "\n",
    "    title='Autoware Dashboard',\n",
    "    sidebar=[pn.pane.Markdown(\"## Settings\"),\n",
    "             pulls_per_repo_slider,\n",
    "             open_pulls_per_repo_slider],\n",
    "    main=[pn.Row(pn.Column(pulls_per_repo_bar_plot.panel(), margin=(0,25)),\n",
    "            pn.Column(open_pulls_per_repo_bar_plot.panel(), margin=(0,25))),\n",
    "            pn.Row(pn.Column(pulls_per_month_plot.panel(), margin=(0,25)), \n",
    "                   pn.Column(rolling_avg_days_to_merge_plot, margin=(0,25))),\n",
    "             ],\n",
    "    accent_base_color=\"#88d8b0\",\n",
    "    header_background=\"#88d8b0\",\n",
    ")\n",
    "template.show();"
   ]
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