1) Rewrite this heapify method RECURSIVELY in Python.
def heapify(self): # assumes left subtree and right subtree are valid heaps
current=0
done=False
while not done:
left=Heap._left(current)
right=Heap._right(current)
# if left exists, compare to current
if leftself.data[current]:
bigger=left
else:
bigger=current
if rightself.data[bigger]:
bigger=right
if bigger==current:
done=True
else:
self.data[current],self.data[bigger]=self.data[bigger],self.data[current]
current=bigger# the entire logic is same as your method , just remove the while loop
# and execute the task inside while loop recursively by calling the heapify method again
# at the end of swapping logic for getting biggest for each root.
def heapify(data, size, index):
bigger = index
left = 2 * index + 1
right = 2 * index + 2
if left < size and data[index] < data[left]:
bigger = left
if right < size and data[bigger] < data[right]:
bigger = right
if bigger != index:
data[index], data[bigger] = data[bigger], data[index]
# recursive call to heapify method
heapify(data, size, bigger)
1) Rewrite this heapify method RECURSIVELY in Python. def heapify(self): # assumes left subtree and right...
""" Add_to_front(self, val) and add_to_back(self, val) functions can be used which are already done in python class. Name of list is LList class node(object): def __init__(self, data, next=None): self.data = data self.next = next # Note: use the attributes directly; no setters or getters! class LList(object): def __init__(self): self._size = 0 self._head = None self._tail = None """ def set_data_at_index(self, idx, val): """ The value stored at index idx changes to val return True if the index was valid otherwise...
Python 3: Write a LinkedList method named contains, that takes a value as a parameter and returns True if that value is in the linked list, but returns False otherwise. class Node: """ Represents a node in a linked list """ def __init__(self, data): self.data = data self.next = None class LinkedList: """ A linked list implementation of the List ADT """ def __init__(self): self.head = None def add(self, val): """ Adds a node containing val to the linked list...
PYTHON
--------------------------------------------------------
class LinkedList:
def __init__(self):
self.__head = None
self.__tail = None
self.__size = 0
# Return the head element in the list
def getFirst(self):
if self.__size ==
0:
return
None
else:
return
self.__head.element
# Return the last element in the list
def getLast(self):
if self.__size ==
0:
return
None
else:
return
self.__tail.element
# Add an element to the beginning of the
list
def addFirst(self, e):
newNode = Node(e) #
Create a new node
newNode.next =
self.__head # link...
PYTHON 3.8 class student(): def __init__(self, name = 'Bill', grade = 9, subjects = ['math','science']): self.name = name self.grade = grade self.subjects = subjects def add_subjects(self): print('Current subjects:') print(self.subjects) more_subjects = True while more_subjects == True: subject_input = input('Enter a subject to add: ') if subject_input == '': more_subjects = False print(self.subjects) else: self.subjects.append(subject_input) print(self.subjects) m = student()...
Python Program Only: Write the function definition only of the "get(self, index)" function. Plug your method in the code file shared with you and test it in the main to get the element at index 3 of mylist2 . class Node: def __init__(self, e): self.element = e self.next = None class LinkedList: def __init__(self): self.head = None self.tail = None self.size = 0 def addFirst(self, e): newNode = Node(e) newNode.next = self.head self.head = newNode self.size = self.size + 1...
PYTHON. Continues off another code. I don't understand this. Someone please help! Comment the lines please so I can understand LinkedList ADT: class myLinkedList: def __init__(self): self.__head = None self.__tail = None self.__size = 0 def insert(self, i, data): if self.isEmpty(): self.__head = listNode(data) self.__tail = self.__head elif i <= 0: self.__head = listNode(data, self.__head) elif i >= self.__size: self.__tail.setNext(listNode(data)) self.__tail = self.__tail.getNext() else: current = self.__getIthNode(i - 1) current.setNext(listNode(data,...
PYTHON QUESTION... Building a Binary Tree with extended Binary Search Tree and AVL tree. Create a class called MyTree with the methods __init__(x), getLeft(), getRight(), getData(), insert(x) and getHeight(). Each child should itself be a MyTree object. The height of a leaf node should be zero. The insert(x) method should return the node that occupies the original node's position in the tree. Create a class called MyBST that extends MyTree. Override the method insert(x) to meet the definitions of a...
In Python 3 Write a LinkedList class that has recursive implementations of the display, remove, contains, insert, and normal_list methods. You may use default arguments and/or helper functions. The file must be named: LinkedList.py Here is what I have for my code so far. The methods I need the recursive implementations for will be bolded: class Node: """ Represents a node in a linked list (parent class) """ def __init__(self, data): self.data = data self.next = None class LinkedList: """...
PYTHON. Continues off another code(other code is below). I don't understand this. Someone please help! Comment the lines please so I can understand. There are short and med files lengths for each the list of names/ids and then search id file. These are the input files: https://codeshare.io/aVQd46 https://codeshare.io/5M3XnR https://codeshare.io/2W684E https://codeshare.io/5RJwZ4 LinkedList ADT to store student records(code is below). Using LinkedList ADT instead of the Python List. You will need to use the Student ADT(code is below) Imports the Student class...
C++: PLEASE HELP~!!! ~~~~~~~~ Implement bool AVLTree::deleteNode(string ss) method. Function deleteNode() tries to delete the node containing value ss. If there is no such node, it returns false. Otherwise, it deletes the node, check the balance of the tree, rebalance the tree if it is necessary. When you delete a node, consider three different scenarios: -The node is a leaf -The node has only ONE child subtree -The node has two child subtrees Important: When you implement this project, do...