(Python) Implement and test a heapSort function that uses heap sort algorithm to sort a heap. You can treat the heap as a list object but do NOT use python's built-in sorted() function to sort the heap.
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(Python) Implement and test a heapSort function that uses heap sort
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- C++ PROGRAMMING: HEAPS Using the array-based implementation, complete the heap ADT in the arrayheap.h. void insert(int num) This will insert the num to the heap. This number shall be initially added in the last position and will constantly be compared to its parent and get swapped if the parent is greater. int removeMin() This will remove the root by it being replaced by the last position. Remember to store it to some temporary variable first and return it later. The replaced number will also have to be constantly compared to its children and swapped by the smaller element if it is smaller than the number. int size() This will simply return the number of elements currently in the heap. Given that this is an array, it must also be dynamic. If the array is full when attempting to add an element, increase the capacity of the memory by 50% (rounded up). For instance, the array of capacity 4 is already of size 4, we add 4 * 50% = 2 when we try to add an element. And so, the array…NEED HELP WITH 2-D list. (PYTHON) For e.g., the following is another example of 2-D multidimensional list. Each row contains student name followed by their grades in 5 subjects: students = [ ['Anna', 98.5, 77.5, 89, 93.5, 85.5], ['Bob', 77, 66.5, 54, 90, 85.5], ['Sam', 98, 97, 89.5, 92.5, 96.5] ] To access, a specific row, you would use students[row_number][column_number]. students[0][0] would print 'Anna' students[0][1] would print 98.5 Create your own 2-D list with at-least 5 students and their grades in 5 subjects like the example above. Write a nested for/while loop that would use find the total of 5 subjects for each student and stores that into a sepearate list. Display the Total for each student.Heap (C PROGRAM) Given a maxheap (keeps the largest value at the root), which has 4 functions push(h,v), v<-pop(h), new(h), and b<-isNotEmpty(h), where h is a heap, v is the value pushed/popped on the heap, new creates a new empty heap, isNotEmpty tests the heap, and b is a Boolean. What will the pseudocode below print? new(h); push(h, 10); push(h, 200); push(h, 0); push(h, 999); push(h, 5); while (isNotEmpty(h)) do {print(pop(h),” “);} print(“\n”);
- Use function def showList(self) Precondition: None. Postcondition: Outputs the keys of the elements of the order list. If the list is empty, outputs “Empty list” note: Use python and the concept of doubly Linked ListQ2: Stack stores elements in an ordered list and allows insertions and deletions at one end.The elements in this stack are stored in an array. If the array is full, the bottom item is dropped from the stack. In practice, this would be equivalent to overwriting that entry in the array. And if top method is called then it should return the element that was entered recently Please do it in C++ and use stack class(header file), not premade functionTROUBLESHOOT my PYTHON code, please :) The code of a sequential search function is shown on textbook page 60. In fact, if the list is already sorted, the search can halt when the target is less than a given element in the list. For example, given my_list = [2, 5, 7, 9, 14, 27], if the search target is 6, the search can halt when it reaches 7 because it is impossible for 6 to exist after 7. Define a function linearSearchSorted, which is used to search a sorted list. This function displays the position of the target item if found, or 'Target not found' otherwise. It also displays the elements it has visited. To test your function, search for these targets in the list [2, 5, 7, 9, 14, 27]: 2, 6, 14, 27 and 28. Expected output: List: [2, 5, 7, 9, 14, 27] Search target: 2 Elements visited: 2 Target found at position 0 Search target: 6 Elements visited: 2 5 7 Target not found Search target: 14 Elements visited: 2 5 7 9 14 Target found at position 4 Search target: 27 Elements visited: 2…
- Explain Implementing Heaps: With Arrays.Goal implementing stack functions, use stack to reverse input, search for palindrome strings and substrings [chapter 4] Deliverables تسليم ملفين 1- PDF file or MS-Word with the - Your name, AHU ID, class time - Output Explanation for any problems you faced and how did you solve it 2- Source code d Individuals [ Groups of { } members ] Any Work Style Grade Task 1: General guidelines Use the class notes to write a program for a stack #inlcude You need to : 1- Write the functions of push, pop, top , isEmpty , isFull 2- Show how the stack works (in the main() you need to call those functions you implemented ) using namespace std; int max=5; int stack(max]; int top=0; void push(int val) { // TODO : write your code here Int pop(){ } bool isEmpty(){ } bool isFull(){ Int top(){ Int main(){ Int x=0; push(3); push(4); x=top(); Return 0; wEDirections: Task 1: Heap Sort In this task, the sorting problem is defined as follows: Input: sequence a1, a2, , an of numbers. Output: A permutation of the input a', a', ..., an such that a' < a' s ..< an Implement heap sort in C++ and show the output of your code for at least two instances of the problem (Heap sort is given in "“5 Heap Sort") Task 2: Max-Priority Queues 1- Use max-heap to implement a max-priority queue in C++. Your max-priority queue should support the following operations: Maximum(S): returns the element of S with the largest key (value). Extract-Max(S): removes and returns the element of S with the largest key. Increase-Key(S, x, k): increases the value of element x's key to the new value k, which is assumed to be at least as large as x's current key value. Insert(S, x): inserts the element x into the set S, i.e. S→ SU {x}. Decrease-Key(S, x, d): decreases the value of element x's key to the new value d, which is assumed to be less than or equal to x's current key…
- Stack: push(x) adds x to top of stack pop() removes top element of stack and returns it size() returns number of elements in stack Select all options that allow for an efficient implementation based on the discussions from class. For any array implementation, you can assume the array is large enough so that making a larger one is not needed when pushing an item to the stack. Using an array with the top at the front of the array. Using an array with the top at the back of the array. Using a singly linked list with the top at the head of the list. Using a singly linked list with the top at the tail of the list. None of these choices allows for an efficient implementation of all methods.4. Sort elements in an array-based stack in ascending order, i.e. make the smallest element to be the top element of the stack. E.g. given the stack elements (from bottom to top): 90, 70, 80, 10, sort the elements to make the stack elements become (from bottom to top): 90, 80, 70, 10. The only data structure you can use is array-based stack. In addition to the given stack, you can use only one extra stack to store some temporary data. Given a stack st, use one extra stack, tmpst, to store temporary data. Here are some hints of the idea. Pop out the top element of st to a variable tmp. If the stack tmpst is empty, push tmp onto tmpst; if tmpst is not empty, pop out its top element and push that element onto st until the top element of tmpst is smaller than tmp, then push tmp onto tmpst .. a. Write a program to implement the stack based sorting. b. Take the input (90, 70, 80, 10) as an example. c. Print all the push and pop operations in proper format. d. At the end, print the sorted…Please explain the functionality of Stack and Heap. The stack pointer, the frame pointer, and other relevant data are included.