{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "259a585b",
   "metadata": {},
   "outputs": [],
   "source": [
    "### heloo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e18c006e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world\n"
     ]
    }
   ],
   "source": [
    "print(\"hello world\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fe7bf6eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "cuda\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "from torch._C import device\n",
    "import torch.nn as nn\n",
    "from torch.nn import functional as F\n",
    "print(torch.cuda.is_available())\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "print(device)\n",
    "\n",
    "if device == \"cuda\":\n",
    "    print(\"gpu\", torch.cuda.get_device_name(0))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4bddedb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1115394\n",
      "First Citizen:\n",
      "Before we proceed any further, hear me speak.\n",
      "\n",
      "All:\n",
      "Speak, speak.\n",
      "\n",
      "First Citizen:\n",
      "You are all resolved rather to die than to famish?\n",
      "\n",
      "All:\n",
      "Resolved. resolved.\n",
      "\n",
      "First Citizen:\n",
      "First, you know Caius Marcius is chief enemy to the people.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "with open(\"input.txt\", \"r\", encoding = \"utf-8\") as f:\n",
    "    text = f.read()\n",
    "\n",
    "print(len(text))\n",
    "print(text[:250])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b33dcb00",
   "metadata": {},
   "outputs": [],
   "source": [
    "set(text)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "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",
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