{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "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": 3,
   "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": 4,
   "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": 5,
   "id": "b33dcb00",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "65\n",
      "\n",
      " !$&',-.3:;?ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz\n"
     ]
    }
   ],
   "source": [
    "chars = sorted(list(set(text)))\n",
    "vocab_size = len(chars)\n",
    "print(vocab_size\n",
    ")\n",
    "print(\"\".join(chars\n",
    "))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c84058a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'!'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stoi = {char:i for i, char in enumerate(chars)}\n",
    "itos = {i:char for i, char in enumerate(chars)}\n",
    "# print (itos)\n",
    "\n",
    "stoi['a'] # 0\n",
    "itos[2]\n",
    "\n",
    "encode = lambda s: \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f43742c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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