this is the MD5 hashing for js, how do i do something similar for C++? function hashCode(str){ md5(str); var hash = md5.create(); hash.update(str); hash.hex(); var hashed = hash.array(); var ka =''; for(i=0;i
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this is the MD5 hashing for js, how do i do something similar for C++?
<!------ MD5 Hashing Function ----->
function hashCode(str){
md5(str);
var hash = md5.create();
hash.update(str);
hash.hex();
var hashed = hash.array();
var ka ='';
for(i=0;i<hashed.length;i++)
{
ka+=String.fromCharCode(hashed[i]);
}
return ka;
}
Step by step
Solved in 2 steps
- Please convert to C language //linear probing#include <bits/stdc++.h>using namespace std; void add_using_linear_probing(int hash[], int a){ //hash function h(x)=x%10 int k = a % 10; //linear probing while (true) { if (hash[k] == -1) { hash[k] = a; break; } k = (k + 1) % 10; //linear increment of probe }} 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 memset(hash, -1, sizeof(hash)); //initialize with empty initially for (int a : arr) { //hashing add_using_linear_probing(hash, a); } cout << "---------using linear probing---------\n"; cout << "Hash table is:\n"; for (int i = 0; i < 10; i++) { if (hash[i] == -1) cout << i << "->" << "Empty" <<…Write a C++ Program to implement a hash table with chaining that does the following: The hash table should have 9 buckets Insert 6 Insert 4 Delete 6 Insert 27 Insert 28 Delete 4 Insert 90 Display the final hash table.Our description of static hashing assumes that a large contiguous stretch of disk blocks can be allocated to a static hash table. Suppose you can allocate only C contiguous blocks. Suggest how to implement the hash table, if it can be much larger than C blocks. Access to a block should still be efficient.
- Please convert to C language //quadratic probing#include <bits/stdc++.h>using namespace std; void add_using_quadratic_probing(int hash[], int a){ //hash function h(x)=x%10 int k = a % 10; //quadratic probing int incr = 1; while (true) { if (hash[k] == -1) { hash[k] = a; break; } //quadratic increment of probe k = (k + int(pow(incr, 2))) % 10; incr++; }} 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 memset(hash, -1, sizeof(hash)); //initialize with empty initially for (int a : arr) { //hashing add_using_quadratic_probing(hash, a); } cout << "---------using quadratic probing---------\n"; cout << "Hash table is:\n"; for (int i = 0; i < 10; i++) { if (hash[i] == -1) cout…Write a C++ program that: (1) defines and implements a hash class that constructs a 15 element array (may be implemented using a vector, a deque, or a list, if you prefer, (using the STL implementations), storing strings, using the following hash function: ((first_letter) + (last_letter) - (second_letter))% 15 (2) the driver program should: a. query the user for ten words and store them using the hash technique described above. b. print out the contents of each position of the array (or vector, deque, or whatever you used), showing vacant as well as filled positions. Remember, only 10 of the 15 positions will be filled. c. repeatedly query the user for a target word, hash the word, check for its inclusion in the list of stored words, and report the result. Continue doing this task until the user signals to stop (establish a sentinel condition).Assume an open addressing hash table implementation, where the size of the array is N = 19, and that double hashing is performed for collision handling. The second hash function is defined as: d(k) = q -k mod q, where k is the key being inserted in the table and the prime number q is = 7. Use simple modular operation (k mod N) for the first hash function. i) Show the content of the table after performing the following operations, in order:put(45), put(25), put(12), put(61), put(38), put(88), remove(12), put(39), remove(61), put(18), put(29), put(29), put(35).i) What is the size of the longest cluster caused by the above insertions? ii) What is the number of occurred collisions as a result of the above operations? iii) What is the current value of the table’s load factor?
- Please 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…Create a newconcrete class that implements MyMap using open addressing with quadratic probing.For simplicity, use f(key) = key % size as the hash function, where sizeis the hash-table size. Initially, the hash-table size is 6. The table size is doubledwhenever the load factor exceeds the threshold (0.5).You are given a hash map implementation that can store key-value pairs with the following operations/syntax. A pair (k,v) mapping k to v can be stored in a hash map H using the assignment syntax: H[k] = v and the value of a key k can be retrieved from H with the expression: H[k] Assume the value of the expression H[k] is -1 if the key k has not yet been added to the hash map. Using this hash map implementation and the syntax provided, write a pseudocode algorithm that checks whether all elements of a list are distinct. The input to your algorithm is an array A with n elements. The output should be True if all elements are distinct (no duplicates) and False if there is a duplicate. (Note: The hash map is a tool for you to use in your algorithm; you can create an empty one in your algorithm. The algorithm starts with the array A as input and nothing else.)
- Create a newconcrete class that implements MyMap using open addressing with double hashing.For simplicity, use f(key) = key % size as the hash function, where sizeis the hash-table size. Initially, the hash-table size is 6. The table size is doubledwhenever the load factor exceeds the threshold (0.5).All of the data in our hash map are stored in a single container (LinkedList) since the map was poorly constructed. This undermines the effectiveness of a hash map.Write a C++ program that: (1) defines and implements a hash class that constructs a 15 element array (may be implemented using a vector, a deque, or a list, if you prefer, (using the STL implementations, not Nyhoff's), storing strings, using the following hash function: ((first_letter) + (last_letter) - (second_letter))% 15 (2) the driver program should: a. query the user for ten words and store them using the hash technique described above. b. print out the contents of each position of the array (or vector, deque, or whatever you used), showing vacant as well as filled positions. Remember, only 10 of the 15 positions will be filled. c. repeatedly query the user for a target word, hash the word, check for its inclusion in the list of stored words, and report the result. Continue doing this task until the user signals to stop (establish a sentinel condition).
