{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8a6abcb5",
   "metadata": {},
   "source": [
    "# Example 1: A basic example notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "60b69616",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython import display\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c79c21c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is an example notebook\n"
     ]
    }
   ],
   "source": [
    "print(\"This is an example notebook\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "dd408603",
   "metadata": {},
   "outputs": [],
   "source": [
    "cur_dir = os.getcwd()\n",
    "parent_dir = os.path.dirname(os.path.dirname(cur_dir))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b26d2441",
   "metadata": {},
   "source": [
    "The last cell has this info in the cell metadata"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07148e4b",
   "metadata": {},
   "source": [
    "{\n",
    "    \"nbsphinx-thumbnail\": {\n",
    "        \"tooltip\": \"This tooltip message was defined in cell metadata\"\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8c7aa394",
   "metadata": {
    "nbsphinx-thumbnail": {
     "tooltip": "This tooltip message was defined in cell metadata"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "display.Image(f'{parent_dir}/_static/logo.png')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}