{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fixes Implementations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Virtual Notebook Implementation\n",
    "\n",
    "Use an intersection observer, placeholder for non rendered cells, and loading indicator if notebook not fully rendered, see [2.2.x Virtual notebook](https://github.com/jupyterlab/jupyterlab/pull/8972)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Content Visibility Implementation\n",
    "\n",
    "For better performance while opening and switching a Notebook, we can use the new content-visibility supported by Chrome 85+ (https://web.dev/content-visibility), see PR [2.2.x Add content-visibility on Cell CSS class](https://github.com/jupyterlab/jupyterlab/pull/8970).\n",
    "\n",
    "![](images/content-visibility/content-visiblity-no-shadow-dom.png \"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Block Div Implementation\n",
    "\n",
    "For better performance when opening notebook, an option is to use block display instead of flex display, see PR [2.2.x Use block display in Notebook panel](https://github.com/jupyterlab/jupyterlab/pull/8968).\n",
    "\n",
    "![](images/div-block/div-block.png \"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Server Parsing Implementation\n",
    "\n",
    "Add the possibility of using fastjsonschema if installed and other libraries if installed or defined by a NBFORMAT_VALIDATOR environment variable, see PR [NbFormat: Use fastjsonschema](https://github.com/jupyter/nbformat/pull/191)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Shadow DOM Implementation\n",
    "\n",
    "Shadow DOM has been implemented in master branch but removed afterwards as conflicting with other fixes as Content Visibility, read more on [Revert \"Move CodeMirror HTML tree and related CSS to shadow DOM\"](https://github.com/jupyterlab/jupyterlab/pull/9015)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
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"
     },
     "metadata": {
      "jupyter-vega": "#db256fdd-c649-4676-b390-82114a3ab41f"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from vega import VegaLite\n",
    "diff = pd.read_csv('./datasets/diff.csv')\n",
    "VegaLite({\n",
    "  \"data\": {\n",
    "    \"url\": \"./datasets/diff.csv\",\n",
    "    \"formdfat\": {\n",
    "      \"type\": \"csv\",\n",
    "      \"parse\": {\n",
    "        \"confidenceInterval\": \"number\",\n",
    "        \"mean\": \"number\",\n",
    "        \"n\": \"number\"\n",
    "      }\n",
    "    }\n",
    "  },\n",
    "  \"facet\": {\n",
    "    \"row\": { \"field\": \"mode\", \"type\": \"nominal\" },\n",
    "    \"column\": { \"field\": \"type\" }\n",
    "  },\n",
    "  \"spec\": {\n",
    "    \"encoding\": {\n",
    "      \"color\": {\n",
    "        \"field\": \"browser\",\n",
    "        \"type\": \"nominal\"\n",
    "      },\n",
    "      \"x\": {\n",
    "        \"field\": \"n\",\n",
    "        \"type\": \"quantitative\",\n",
    "        \"scale\": {}\n",
    "      }\n",
    "    },\n",
    "    \"layer\": [\n",
    "      {\n",
    "        \"mark\": {\n",
    "          \"type\": \"errorband\",\n",
    "          \"clip\": True\n",
    "        },\n",
    "        \"encoding\": {\n",
    "          \"y\": {\n",
    "            \"field\": \"mean\",\n",
    "            \"type\": \"quantitative\",\n",
    "            \"scale\": { \"domain\": [0, 2] },\n",
    "            \"title\": \"Ratio of Time (95% CI)\"\n",
    "          },\n",
    "          \"yError\": { \"field\": \"confidenceInterval\" }\n",
    "        }\n",
    "      },\n",
    "      {\n",
    "        \"mark\": {\n",
    "          \"type\": \"line\",\n",
    "          \"clip\": True,\n",
    "          \"tooltip\": True,\n",
    "          \"size\": 1\n",
    "        },\n",
    "        \"encoding\": {\n",
    "          \"y\": {\n",
    "            \"field\": \"mean\",\n",
    "            \"type\": \"quantitative\"\n",
    "          }\n",
    "        }\n",
    "      }\n",
    "    ]\n",
    "  }\n",
    "}\n",
    ", diff)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## StrippedOutput Implementation\n",
    "\n",
    "TBD"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## VirtualOutput Implementation\n",
    "\n",
    "TBD"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Edit Metadata",
  "kernelspec": {
   "display_name": "Python 3.7.6 64-bit",
   "language": "python",
   "name": "python37664bita501fc2804314ee1aecdd8fe37ed3a7a"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "presto": {
   "id": "4b7d4cc0-6e78-48c1-bcc3-44a6307f626f"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}