File Handling + Serialization & Deserialization-1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "17937739",
   "metadata": {},
   "source": [
    "### Theory\n",
    "\n",
    "##### Types of data used for I/O:\n",
    "- Text - '12345' as a sequence of unicode chars\n",
    "- Binary - 12345 as a sequence of bytes of its binary equivalent\n",
    "\n",
    "##### Hence there are 2 file types to deal with\n",
    "- Text files - All program files are text files\n",
    "- Binary Files - Images,music,video,exe files"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a57d7ab",
   "metadata": {},
   "source": [
    "### How File I/O is done in most programming languages\n",
    "\n",
    "- Open a file\n",
    "- Read/Write data\n",
    "- Close the file"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6573d69",
   "metadata": {},
   "source": [
    "### Writing to a file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "66f1b5ea",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "I/O operation on closed file.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[4], line 5\u001b[0m\n\u001b[0;32m      3\u001b[0m f\u001b[38;5;241m.\u001b[39mwrite(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mHello World\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      4\u001b[0m f\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m----> 5\u001b[0m \u001b[43mf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mhello\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mValueError\u001b[0m: I/O operation on closed file."
     ]
    }
   ],
   "source": [
    "# Case 1 - if the file is not present\n",
    "f = open('sample.txt','w')\n",
    "f.write('Hello World')\n",
    "f.close()\n",
    "# since file is closed the file will not work\n",
    "f.write('hello')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e966b733",
   "metadata": {},
   "outputs": [],
   "source": [
    "# write multiline strings\n",
    "f = open('sample.txt','w')\n",
    "f.write('hello world')\n",
    "f.write('\\n how are you')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "48d2d27f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# case2- if the file is already present\n",
    "f = open('sample.txt','w')\n",
    "f.write('Ravikant Jangid')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7f1921f",
   "metadata": {},
   "source": [
    "How open works?\n",
    "https://docs.python.org/3/library/functions.html#open"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "697c748b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# problems with w mode\n",
    "#introducing appened mode\n",
    "f = open('sample1.txt','a')\n",
    "f.write('\\n I am fine')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1404c21c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Write lines\n",
    "L = ['hello\\n','h1\\n','how are you\\n','I am fine\\n']\n",
    "\n",
    "f = open('sample1.txt','w')\n",
    "f.writelines(L)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b5c14fd5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello\n",
      "h1\n",
      "how are you\n",
      "I am fine\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Reading from files\n",
    "# -> Using read()\n",
    "f =open('sample1.txt','r')\n",
    "s =f.read()\n",
    "print(s)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9ef4a0e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello\n",
      "h1\n",
      "h\n"
     ]
    }
   ],
   "source": [
    "# reading upto n chars\n",
    "f =open('sample1.txt','r')\n",
    "s =f.read(10)\n",
    "print(s)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b5b61d11",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello\n",
      "h1\n"
     ]
    }
   ],
   "source": [
    "#readline() -> To read line by line\n",
    "f =open('sample1.txt','r')\n",
    "print(f.readline(),end='')  #if we not put end then 2line gap will appear one of print fn and other of readline\n",
    "print(f.readline(),end='')\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6cb0a246",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "h1\n",
      "\n",
      "I am fine\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<function TextIOWrapper.close()>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reading entire using readline\n",
    "f = open('sample1.txt','r')\n",
    "\n",
    "while f.readline() != '':\n",
    "    print(f.readline())\n",
    "    \n",
    "f.close  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ea1117b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello\n",
      "h1\n",
      "how are you\n",
      "I am fine\n"
     ]
    }
   ],
   "source": [
    "# reading entire using readline\n",
    "f = open('sample1.txt','r')\n",
    "\n",
    "while True:\n",
    "\n",
    "  data = f.readline()\n",
    "\n",
    "  if data == '':\n",
    "    break\n",
    "  else:\n",
    "    print(data,end='')\n",
    "\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f528da9c",
   "metadata": {},
   "source": [
    "### Using Context Manager (With)\n",
    "\n",
    "- It's a good idea to close a file after usage as it will free up the resources\n",
    "- If we dont close it, garbage collector would close it\n",
    "- with keyword closes the file as soon as the usage is over"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5acbaeae",
   "metadata": {},
   "outputs": [],
   "source": [
    "# with\n",
    "with open('sample1.txt','w') as f:\n",
    "     f.write('selmon bhai')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4595bb31",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "I/O operation on closed file.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[8], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mhello\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mValueError\u001b[0m: I/O operation on closed file."
     ]
    }
   ],
   "source": [
    "f.write('hello')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d0d83297",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "selmon bhai\n"
     ]
    }
   ],
   "source": [
    " # try f.read() now\n",
    "with open('sample1.txt','r') as f:\n",
    "  print(f.readline())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "01c40d00",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ravikant J\n",
      "angid\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# moving within a file -> 10 char then 10 char\n",
    "with open('sample.txt','r') as f:\n",
    "  print(f.read(10))\n",
    "  print(f.read(10))\n",
    "  print(f.read(10))\n",
    "  print(f.read(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b5cb19f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# benefit? -> to load a big file in memory\n",
    "big_L = ['hello world ' for i in range(1000)]\n",
    "\n",
    "with open('big.txt','w') as f:\n",
    "  f.writelines(big_L)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d0ae87a2",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***d hello wo***o world he***"
     ]
    }
   ],
   "source": [
    "with open('big.txt','r') as f:\n",
    "\n",
    "  chunk_size = 10\n",
    "\n",
    "  while len(f.read(chunk_size)) > 0:\n",
    "    print(f.read(chunk_size),end='***')\n",
    "    f.read(chunk_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1016f858",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hyay \n",
      "My n\n",
      "25\n",
      "ame is rav\n",
      "35\n"
     ]
    }
   ],
   "source": [
    "# seek and tell function\n",
    "with open('sample1.txt','r') as f:\n",
    "  f.seek(15)\n",
    "  print(f.read(10))\n",
    "  print(f.tell())   #gives you idea about on which char you're on \n",
    "  \n",
    "  print(f.read(10))\n",
    "  print(f.tell())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0f1e549e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# seek during write\n",
    "with open('sample.txt','w') as f:\n",
    "  f.write('Hello')\n",
    "  f.seek(0)   #seek can move your cursor at any character like here 0 \n",
    "  f.write('X')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e5a59ac",
   "metadata": {},
   "source": [
    "### Problems with working in text mode\n",
    "\n",
    "- can't work with binary files like images\n",
    "- not good for other data types like int/float/list/tuples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1eb14343",
   "metadata": {},
   "outputs": [
    {
     "ename": "UnicodeDecodeError",
     "evalue": "'charmap' codec can't decode byte 0x81 in position 248: character maps to <undefined>",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mUnicodeDecodeError\u001b[0m                        Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[8], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# working with binary file\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mphoto_2.jpg\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[1;32m----> 3\u001b[0m   \u001b[43mf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32m~\\anaconda3\\lib\\encodings\\cp1252.py:23\u001b[0m, in \u001b[0;36mIncrementalDecoder.decode\u001b[1;34m(self, input, final)\u001b[0m\n\u001b[0;32m     22\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdecode\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;28minput\u001b[39m, final\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m---> 23\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mcodecs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcharmap_decode\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43minput\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\u001b[43mdecoding_table\u001b[49m\u001b[43m)\u001b[49m[\u001b[38;5;241m0\u001b[39m]\n",
      "\u001b[1;31mUnicodeDecodeError\u001b[0m: 'charmap' codec can't decode byte 0x81 in position 248: character maps to <undefined>"
     ]
    }
   ],
   "source": [
    "# working with binary file\n",
    "with open('photo_2.jpg','r') as f:\n",
    "  f.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0843a952",
   "metadata": {},
   "outputs": [],
   "source": [
    "# working with binary file\n",
    "with open('photo_2.jpg','rb') as f:    #read binary -> rb\n",
    "  with open('photo_2copy.jpg','wb') as wf:\n",
    "    wf.write(f.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b12bfe09",
   "metadata": {},
   "outputs": [],
   "source": [
    "# working with a big binary file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a9410080",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "write() argument must be str, not int",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[10], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# working with other data types\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msample.txt\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[1;32m----> 3\u001b[0m   \u001b[43mf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mTypeError\u001b[0m: write() argument must be str, not int"
     ]
    }
   ],
   "source": [
    "# working with other data types\n",
    "with open('sample.txt','w') as f:\n",
    "  f.write(5)   #you can't write another datatype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "99cc7cd0",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('sample.txt','w') as f:\n",
    "  f.write('5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ed4726d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n"
     ]
    }
   ],
   "source": [
    "with open('sample.txt','r') as f:\n",
    "  print(int(f.read()) + 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ddd184e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# more complex data\n",
    "d = {\n",
    "    'name':'Utkarsh',\n",
    "     'age':20,\n",
    "     'gender':'male'\n",
    "}\n",
    "\n",
    "with open('sample.txt','w') as f:\n",
    "  f.write(str(d))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9cf3f35b",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "dictionary update sequence element #0 has length 1; 2 is required",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[20], line 3\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msample.txt\u001b[39m\u001b[38;5;124m'\u001b[39m,\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m      2\u001b[0m   \u001b[38;5;66;03m#print(f.read())\u001b[39;00m\n\u001b[1;32m----> 3\u001b[0m   \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;28;43mdict\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m)\n",
      "\u001b[1;31mValueError\u001b[0m: dictionary update sequence element #0 has length 1; 2 is required"
     ]
    }
   ],
   "source": [
    "with open('sample.txt','r') as f:\n",
    "  #print(f.read())\n",
    "  print(dict(f.read()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f889ff5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# So above problem is solve using serialisation and deserialisation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "70cac7c2",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}