{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7fb27b941602401d91542211134fc71a",
   "metadata": {},
   "source": [
    "# Sample Notebook\n",
    "This is a markdown cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acae54e37e7d407bbb7b55eff062a284",
   "metadata": {},
   "outputs": [],
   "source": [
    "%pip install pandas\n",
    "!ls -la\n",
    "import os\n",
    "from pathlib import Path\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a63283cbaf04dbcab1f6479b197f3a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "\n",
    "def add(x, y):\n",
    "    return x + y\n",
    "\n",
    "def multiply(a, b):\n",
    "    return a * b\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8dd0d8092fe74a7c96281538738b07e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "class DataProcessor:\n",
    "    def __init__(self, name):\n",
    "        self.name = name\n",
    "\n",
    "    def process(self, data):\n",
    "        result = add(data, 1)\n",
    "        return multiply(result, 2)\n"
   ]
  },
  {
   "cell_type": "raw",
   "id": "72eea5119410473aa328ad9291626812",
   "metadata": {},
   "source": [
    "This raw cell should be skipped."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8edb47106e1a46a883d545849b8ab81b",
   "metadata": {},
   "outputs": [],
   "source": [
    "processor = DataProcessor('test')\n",
    "output = processor.process(5)\n",
    "print(output)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}