Class_Objects_Day2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Node:\n",
    "    \n",
    "    data = None\n",
    "    next_node_address = None\n",
    "    previous_node_address = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "random_numbers = np.random.randint(low =78, high = 120, size=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 85,  91, 105,  78, 107, 111,  87,  99,  98,  91])"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random_numbers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10,)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random_numbers.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "head = None\n",
    "tail = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create link list def"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "# traverse list and fill box & create linked list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Numpy helpful methods mostly used\n",
    "\n",
    "# numpy std - standard deviation\n",
    "# argmax\n",
    "# argmin\n",
    "# max, min, eye, sum, cov - covariance, eye - Identity, shape, reshape, matmul, dot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_linked_list(node):\n",
    "    global head\n",
    "    global tail\n",
    "    if head == tail:\n",
    "        head = node\n",
    "        #print(\"1st\")\n",
    "        return\n",
    "    elif tail == None:\n",
    "        tail = node\n",
    "        head.next_node_address = tail\n",
    "        \n",
    "        #print(\"2nd\")\n",
    "        return\n",
    "    \n",
    "    #print(\"remaining\")\n",
    "    tail.next_node_address = node\n",
    "    tail = node\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "for single_element in random_numbers:\n",
    "    node = Node()\n",
    "    node.data = single_element\n",
    "    #print(node.data)\n",
    "    create_linked_list(node)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "85"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "head.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "105"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "head.next_node_address.next_node_address.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_linked_list(hd):\n",
    "    while(hd.next_node_address != None):\n",
    "        print(hd.data)\n",
    "        hd = hd.next_node_address\n",
    "\n",
    "    print(hd.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85\n",
      "91\n",
      "105\n",
      "78\n",
      "107\n",
      "111\n",
      "87\n",
      "99\n",
      "98\n",
      "91\n"
     ]
    }
   ],
   "source": [
    "print_linked_list(head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "91"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tail.data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_linked_list_recursion(hd):\n",
    "    if(hd == None):\n",
    "        return\n",
    "    \n",
    "    print(hd.data)\n",
    "\n",
    "    print_linked_list_recursion(hd.next_node_address)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "85\n",
      "91\n",
      "105\n",
      "78\n",
      "107\n",
      "111\n",
      "87\n",
      "99\n",
      "98\n",
      "91\n"
     ]
    }
   ],
   "source": [
    "print_linked_list_recursion(head)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Double LInked LIst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_double_linked_list(node):\n",
    "    global head\n",
    "    global tail\n",
    "    if head == tail:\n",
    "        head = node\n",
    "        print(\"1st\")\n",
    "        return\n",
    "    elif tail == None:\n",
    "        tail = node\n",
    "        head.next_node_address = tail\n",
    "        tail.previous_node_address = head\n",
    "        \n",
    "        print(\"2nd\")\n",
    "        return\n",
    "    \n",
    "    print(\"remaining\")\n",
    "    tail.next_node_address = node\n",
    "    node.previous_node_address = tail\n",
    "    tail = node\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "remaining\n",
      "remaining\n",
      "remaining\n",
      "remaining\n",
      "remaining\n",
      "remaining\n",
      "remaining\n",
      "remaining\n",
      "remaining\n",
      "remaining\n"
     ]
    }
   ],
   "source": [
    "for single_element in random_numbers:\n",
    "    node = Node()\n",
    "    node.data = single_element\n",
    "    #print(node.data)\n",
    "    create_double_linked_list(node)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_double_linked_list_reverse(tl):\n",
    "    if(tl == None):\n",
    "        return\n",
    "    \n",
    "    print(tl.data)\n",
    "\n",
    "    print_double_linked_list_reverse(tl.previous_node_address)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "91\n",
      "98\n",
      "99\n",
      "87\n",
      "111\n",
      "107\n",
      "78\n",
      "105\n",
      "91\n",
      "85\n",
      "91\n",
      "98\n",
      "99\n",
      "87\n",
      "111\n",
      "107\n",
      "78\n",
      "105\n",
      "91\n",
      "85\n",
      "91\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'Node' object has no attribute 'previous_node_address'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-145-a22cf0c04595>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtail\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-144-c6f4ef88a3c5>\u001b[0m in \u001b[0;36mprint_double_linked_list_reverse\u001b[0;34m(tl)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mprint_double_linked_list_reverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprevious_node_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'Node' object has no attribute 'previous_node_address'"
     ]
    }
   ],
   "source": [
    "print_double_linked_list_reverse(tail)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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