A simple hash algorithm to map a set of integers into array locations is the _______________ operator
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Q: Use Python Language
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A: the program is given below:-
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Q: please convert the code to C language // C++ program to find minimum deletion // to make all…
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- An array may contain multiple duplicate values, as shown below. In order to design an algorithm with the best average performance to remove all duplicate values, which of the following data structures should be used? 110, 1100, s, 10, s6, s, 96, 34, s, 34, 20, 110, 30 Question 16 options: hash table stack list priority queuePlease convert to C language //double hashing#include <bits/stdc++.h>using namespace std; int digit(int a){ return to_string(a).length();} void add_using_double_hashing(int hash[], int a){ //hash function h1(x)=x%10 //hash function h2(x)=digit(x) //for incrementing probing int k = a % 10; //double hashing int count = 1; while (true) { if (hash[k] == -1) { hash[k] = a; break; } //double hashing for incrementing prob length k = (k + count * digit(a)) % 10; count++; }} int main(){ //set of input numbers vector<int> arr{ 123, 124, 333, 4679, 983 }; //initialize the hash table //each entry of the hash table is a single entry int hash[10]; //size of hashtable is 10 //initialize with empty initially memset(hash, -1, sizeof(hash)); for (int a : arr) { //hashing add_using_double_hashing(hash, a); } cout << "---------using double…You are going to implement hashing with chaining with separate chaining. Please implement your hash function accordingly to distribute the data evenly in the array. Fill in the missing code! C only! ASAP!!! THE CODE: #include <stdio.h> // RecordTypestruct RecordType{int id;char name;int order;}; // Fill out this structurestruct HashType{ }; // Compute the hash functionint hash(int x){ } // parses input file to an integer arrayint parseData(char* inputFileName, struct RecordType** ppData){FILE* inFile = fopen(inputFileName, "r");int dataSz = 0;int i, n;char c;struct RecordType *pRecord;*ppData = NULL; if (inFile){fscanf(inFile, "%d\n", &dataSz);*ppData = (struct RecordType*) malloc(sizeof(struct RecordType) * dataSz);// Implement parse data blockif (*ppData == NULL){printf("Cannot allocate memory\n");exit(-1);}for (i = 0; i < dataSz; ++i){pRecord = *ppData + i;fscanf(inFile, "%d ", &n);pRecord->id = n;fscanf(inFile, "%c ", &c);pRecord->name =…
- please convert the code to C language // C++ program to find maximum distance between // two occurrences of same element in array#include <bits/stdc++.h>using namespace std; int maximum_distance_bw_occurences(vector<int> arr, int n){ //create a hash table where for each key the //hash function is h(arr[i])=arr[i] //we will use stl map as hash table and //will keep i stored(i of arr[i]) //so say two keys arr[0] and arr[5] are mapping //to the same location, then the location will have value 0,5 //instead of the keys itself map<int, vector<int> > hash; //for each number for (int i = 0; i < arr.size(); i++) { hash[arr[i]].push_back(i); } //now to find max distance b/w two occurrences //we need to check difference b/w first and //last position for each unique keys //maxdiff=max(last-first) for each unique key int maxdiff = 0; for (auto it = hash.begin(); it != hash.end(); it++) { int first…please convert the code to C language //C++ program to check if two arrays //are equal or not #include <bits/stdc++.h>using namespace std; bool similar_array(vector<int> arr1, vector<int> arr2){ //create teo different hash table where for each key //the hash function is h(arr[i])=arr[i] //we will use stl map as hash table and //will keep frequency stored //so say two keys arr[0] and arr[5] are mapping to //the same location, then the location will have value 2 //instead of the keys itself //if two hash tables are exactly same then //we can say that our arrays are similar map<int, int> hash1; map<int, int> hash2; //for each number for (int i = 0, j = 0; i < arr1.size(); i++, j++) { hash1[arr1[i]]++; hash2[arr2[i]]++; } //now check whether hash tables are exactly same or not for (auto it = hash1.begin(), ij = hash2.begin(); it != hash1.end() && ij != hash2.end(); it++, ij++) {…Please convert the code to C language // C++ program to find minimum deletion // to make all elements same#include <bits/stdc++.h>using namespace std; int minimum_no_of_deletion(vector<int> arr, int n){ //create a hash table where for each key //the hash function is h(x)=x //we will use stl map as hash table and //will keep frequencies stored //so say two keys are mapping to the same location, //then the location will have value 2 //instead of the keys itself map<int, int> hash; for (auto i : arr) { //for each number hash[i]++; } //now to make all elements same //we need to keep only the keys with //maximum frequency //we need to delete the other keys //so find the key with max frequency int maxfreq = 0; for (auto it = hash.begin(); it != hash.end(); it++) { if (it->second > maxfreq) { maxfreq = it->second; } } //so we need to dlete rest of //the elements…
- please convert the code to C language // C++ program to find minimum deletion // to make all elements same#include <bits/stdc++.h>using namespace std; int minimum_no_of_deletion(vector<int> arr, int n){ //create a hash table where for each key //the hash function is h(x)=x //we will use stl map as hash table and //will keep frequencies stored //so say two keys are mapping to the same location, //then the location will have value 2 //instead of the keys itself map<int, int> hash; for (auto i : arr) { //for each number hash[i]++; } //now to make all elements same //we need to keep only the keys with //maximum frequency //we need to delete the other keys //so find the key with max frequency int maxfreq = 0; for (auto it = hash.begin(); it != hash.end(); it++) { if (it->second > maxfreq) { maxfreq = it->second; } } //so we need to dlete rest of //the elements…Given hash_function( ) defined in the default template, complete the main function that does the following tasks: Create a list called hash_list that contains the five hashing algorithm names described above. Read from the user a password to hash. Declare a salt variable and initialize the variable to the hex representation of 4458585599393. Hint: Use function hex(). Use a for loop to iterate over the hash_list and call the hash_function() with the hashing algorithm names in the list. Store the returned value of hash_function() in a variable and output the algorithm name used and the hashed password. Note: Output a new line after each hashed password is printed. If the input is: secretPass the output is: Testing hash algorithm: md5 Hashed Password = bd19f99253c948637d64a4acbd524047:0x40e18692da1 Testing hash algorithm: sha1…2.1 Hashing With ChainingWe search/insert/delete in a hashtable in the following way. First use the getHashValue methodto get the hash value. Now use this hash value to get hold of a hash table entry, which is a linkedlist. These functions have been written and you do not need to modify them:• gethashValue: Uses the hash function (37 ∗ val + 61)%T ABLE SIZE.• getList: The hashtable is an array of linked list. So, this method simply returns the linkedlist at a particular index of the hash table. We will use the inbuilt linked-list of C++ or Java. This is an implementation of a doubly-linked-list (with links going both forward and backward). It supports all the standard operations (inserting at front or end, deleting head or tail, traversing the list, etc.) In the next sections (Java), I’ll highlight some of the usages (not all may be required). Since we will deal with integers,I will only discuss integer linked lists, but lists of any type can be created. 2.3 Java• Syntax to create an…
- import hashlib def hash_function(password, salt, al): if al == 'md5': #md5 hash = hashlib.md5(salt.encode() + password.encode()) hash.update(password.encode('utf-8')) return hash.hexdigest() + ':' + salt elif (al == 'sha1'): #sha1 hash = hashlib.sha1() hash.update(password.encode('utf-8')) return hash.hexdigest() + ':' + salt elif al == 'sha224': #sha224 hash = hashlib.sha224() hash.update(password.encode('utf-8')) return hash.hexdigest() + ':' + salt elif al == 'sha256': #sha256 hash = hashlib.sha256() hash.update(password.encode('utf-8')) return hash.hexdigest() + ':' + salt elif al == 'blake2b': #blake2b512 hash = hashlib.blake2b() hash.update(password.encode('utf-8')) return hash.hexdigest() + ':' + salt else: print("Error: No Algorithm!") if __name__ == "__main__": # TODO: create a list called hash_list that contains # the five hashing algorithsm as strings # md5, sha1, sha224, sha256, blake2b hash_list =…C++ Quadratic Probing: You have a file called athletes.txt Jamie, basketball Justine, soccer Ned, badminton Shelley, hopscotch etc... The file contains 9 athletes. The user will specify the size of the hash table. Write a function that keeps track of the total number of collisions and searches into the hash table. Each index is assigned hash_index = i % table_size where "i" is an int in a for loop up to table_size If the table is full then: int t = (hash_index + i* i) % table_size; Display the number of collisions and searches.in c++ Create a student hash table that contains information, studentID (int), name (string), marks_oop345 (float). The size of hash table is equal to the number of students in the class. Use linear probing in case of collisions. Perform insertion, deletion, display and search operations.