hav_hak Write a function "hav_hak(Ist)" that takes in a list of non-increasing integers as its input, and then determines whether or not this is the degree sequence of a graph. After compiling the above cell, you should be able to compile the following cell and obtain the desired outputs. print (hav_hak ( [3,3,3,3,3]), hav_hak ([3,3,2,2,2,2])) This should return False True + Code + Markdown
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- 22.........a) Write a program that asks the user to enter the number of vertices in a directed graph and then the adjacency matrix representing the directed graph. The program, then, must display the node with the highest outdegree. Assume that nodes are named as 0, 1, 2, and so on.asapC++, void traverseWithDijkstra(string start); ➔Use Dijkstra's algorithm to compute the single source shortest path in the graph from the start city to all other nodes in its component. ➔You don’t print anything in this function. Storing the distance associated with every node relative to the start node is enough. .hpp #ifndef GRAPH_H #define GRAPH_H #include<vector> #include<iostream> using namespace std; struct vertex; struct adjVertex{ vertex *v; int weight; }; struct vertex{ vertex() { this->visited = false; this->distance = 0; this->pred = NULL; } string name; bool visited; int distance; vertex *pred; vector<adjVertex> adj; }; class Graph { public: void createEdge(string v1, string v2, int num); void insertVertex(string name); void displayEdges(); void depthFirstTraversal(string sourceVertex); void traverseWithDijkstra(string sourceVertex); void minDistPath(string start, string end); private: vector<vertex*> vertices; };Recursion and loops. Provide both recurrent and loop based implementation of the function count( e, L ) that returns the number of es in L, where L is a list. Also consider cases when L is an empty list. Create test cases and run driver, show how function runs in spyder (py file) or ipynb file. Submit code as a py or html or pdf files with screenshots of the runs.
- please complete the following in JAVA Implement the graph ADT using the adjacency list structure. thanks! also posting a similar question for adjacency matrix. have a good day!Python You and your neighbor have equal sized gardens. Your gardens are represented as 2D-lists, where garden[i] [j] gives an element at position (i, j). Every element in a garden is represented as an string, and can be "grass", "moss", "strawberry" , "rock", "raspberry". Latley you have noticed more moss and rock in your garden and espects its to be your neighbor. To fix it, complete the function clean_mygarden(my_garden, neighbors_garden) At the end , swap every rock and moss in your garden with the first stawberry and raspberry from neighbor (they dont need to be at the same position MAKE A FUNCTION "find_items" that inputs two arguments: (garden, item) , and returns a (i, j) position as a tuple if item is in garden. If not, return None. Make a function swap_items that swaps two elements between two gardens. Let the function Input these arguments (garden1, garden2, pos1, pos2), where pos1 and pos2 is (i,j) tuples.def swap_items(garden1,garden2,pos1,pos2):Here you are not going…Write a function that collects information from the user about a graph and builds an adjacency list representation of the graph; incorporate this function in the programs requested. Input: Information about a graph (see instructionsabove) and a node in the graphOutput: Nodes in a depth-first search of the graphbeginning with the given node
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- SKELETON CODE IS PROVIDED ALONG WITH C AND H FILES. #include <stdio.h> #include <stdlib.h> #include <string.h> #include <stdbool.h> #include "node.h" #include "stack_functions.h" #define NUM_VERTICES 10 /** This function takes a pointer to the adjacency matrix of a Graph and the size of this matrix as arguments and prints the matrix */ void print_graph(int * graph, int size); /** This function takes a pointer to the adjacency matrix of a Graph, the size of this matrix, the source and dest node numbers along with the weight or cost of the edge and fills the adjacency matrix accordingly. */ void add_edge(int * graph, int size, int src, int dst, int cost); /** This function takes a pointer to the adjacency matrix of a graph, the size of this matrix, source and destination vertex numbers as inputs and prints out the path from the source vertex to the destination vertex. It also prints the total cost of this…1. Implement a function insertBook(Book newBook) to add a book at the end of thelinked list.a. Ask the librarian to input all the necessary book information.b. Use the information to create a Book objectc. Pass through the Book object as the parameter to the functiond. Store the Book object into the Node objecte. “Link” the object with the rest of the linked list2. Implement a function insertBefore(Book newBook, int bookID) to add a book infront of another book given its bookID.a. Ask the librarian to input all the necessary book information.b. Use the information to create a Book objectc. Pass through the Book object and bookID as the parameter to the functiond. Search for the matching Book objecte. Store the Book object into the Node objectf. “Link” the object with the rest of the linked list3. Implement a function searchBook(int bookID) to search for a book by its bookIDcode and return the book object.a. Ask the librarian to input the bookID.b. If the book doesn’t exist display an…TROUBLESHOOT 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…