dominiquesydow · December 2, 2021 10:44 · dominiquesydow · Dec 2, 2021 · dominiquesydow · Dec 2, 2021
diff --git a/test_html_details.ipynb b/test_html_details.ipynb
 {
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rendering of `<details> HTML tag` on Github"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the code of what we'd like to render:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```markdown\n",
    "#### collapsible markdown?\n",
    "\n",
    "<details><summary>CLICK ME</summary>\n",
    "\n",
    "#### My list\n",
    "\n",
    "1. Apples\n",
    "2. Pears\n",
    "3. Grapes\n",
    "\n",
    "</details>\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rendering on GitHub"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### collapsible markdown?\n",
    "\n",
    "<details><summary>CLICK ME</summary>\n",
    "\n",
    "#### My list\n",
    "\n",
    "1. Apples\n",
    "2. Pears\n",
    "3. Grapes\n",
    "\n",
    "</details>"
   ]
  },
  {
   "attachments": {
    "55588b0b-b44e-4c9f-bf90-b435cc2e183f.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rendering in JupyterLab\n",
    "(screenshot)\n",
    "\n",
    "\n",
    "![image.png](attachment:55588b0b-b44e-4c9f-bf90-b435cc2e183f.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
 }
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Rendering of `<details> HTML tag` on Github"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"This is the code of what we'd like to render:"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"```markdown\n",
	"#### collapsible markdown?\n",
	"\n",
	"<details><summary>CLICK ME</summary>\n",
	"\n",
	"#### My list\n",
	"\n",
	"1. Apples\n",
	"2. Pears\n",
	"3. Grapes\n",
	"\n",
	"</details>\n",
	"```"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Rendering on GitHub"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"#### collapsible markdown?\n",
	"\n",
	"<details><summary>CLICK ME</summary>\n",
	"\n",
	"#### My list\n",
	"\n",
	"1. Apples\n",
	"2. Pears\n",
	"3. Grapes\n",
	"\n",
	"</details>"
	]
	},
	{
	"attachments": {
	"55588b0b-b44e-4c9f-bf90-b435cc2e183f.png": {
	"image/png": 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"
	}
	},
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Rendering in JupyterLab\n",
	"(screenshot)\n",
	"\n",
	"\n",
	"![image.png](attachment:55588b0b-b44e-4c9f-bf90-b435cc2e183f.png)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {},
	"outputs": [],
	"source": []
	}
	],
	"metadata": {
	"kernelspec": {
	"display_name": "Python 3 (ipykernel)",
	"language": "python",
	"name": "python3"
	},
	"language_info": {
	"codemirror_mode": {
	"name": "ipython",
	"version": 3
	},
	"file_extension": ".py",
	"mimetype": "text/x-python",
	"name": "python",
	"nbconvert_exporter": "python",
	"pygments_lexer": "ipython3",
	"version": "3.9.7"
	},
	"widgets": {
	"application/vnd.jupyter.widget-state+json": {
	"state": {},
	"version_major": 2,
	"version_minor": 0
	}
	}
	},
	"nbformat": 4,
	"nbformat_minor": 4
	}