Assignment 3

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Create a hash function and compute the index of a user using both the first and last names. (Simple hash function for strings)

The hash table array has capacity of 10. Capacity is the number of slots present in the array that is used to build the hashtable. The hash function returns the absolute value of the key mod the capacity of the hash table. a) Insert these keys in the hash table: 3,23,11,21,1,7,77,8 where the hash table uses quadratic probing to resolve collisions. b) Search and Delete 3 and 11 from the table. Be careful about changing the status of the table slot to “deleted” after deleting each item. c)Search 23 and 21 from the table and print their position.

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2) Hash Innards Homework • Unanswered Select all true statements from the below. Multiple answers: Multiple answers are accepted for this question Select one or more answers and submit. For keyboard navigation. SHOW MORE V a A hash function takes a key and produces an index into the hash table. The next step in this process is often something like 'h%SIZE' so that the hash value of the key will fit within the table b (having SIZE elements, you see). Common techniques involve exclusive or of bits within the key and folding different sections of bits within the key into each other. The best hash method for character strings is to simply add up the ASCIlI values of their individual characters. Coming up with a perfect hash for a given set of keys can be a difficult and time-consuming task.

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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 =…

= Question 3. In the following hash table, we insert elements using hashing with open addressing with quadratic probing. Elements have as keys integer numbers, and the hash function for the i-th probe is given by hash(x, i) (x + ²) %11. We insert, in the given order, the elements with the following keys: 46, 58, 57, 39. Indicate, where these elements will be placed in the table. index value 0 1 2 3 4 5 6 7 8 9 10

Class HashTable: Implement a hash table to store integers (including negative ones).  stored in the table int[] data. Use the hash function:  h(x) = (x · 701) mod 2000.  The table size is 2000. Ensure non-negative indices between 0 and 1999. Implement the following methods: insert(int key): Inserts the integer into the table. Returns true if successful, false if the element is already in the table. search(int key): Searches for the integer in the table. Returns true if found, false otherwise. delete(int key): Deletes the integer from the table. Returns true if successful, false otherwise. Class HashTable2: Implement a second hash table using a different hash function and collision resolution strategy. Keys are integers (including negative ones). Use the hash function: ℎ(�)=(�⋅53)mod  100h(x)=(x⋅53)mod100. The table size is 100. Ensure non-negative indices between 0 and 99. Implement the following methods: insert(int key): Inserts the integer into the table. Returns true if…

Python  Why am I still getting an error? # Problem 1# Implement a hashtable using an array. Your implementation should include public methods for insertion, deletion, and# search, as well as helper methods for resizing. The hash table is resized when the loadfactor becomes greater than 0.6# during insertion of a new item. You will be using linear probing technique for collision resolution. Assume the key to# be an integer and use the hash function h(k) = k mod m where m is the size of the hashtable. class HashTableProb:    def __init__(self, size=10):        # Initialize the hashtable with the given size and an empty array to hold the key-value pairs.        self.__size = size # size of the hashtable        self.__hashtable = [None for _ in range(size)]        self.__itemcount = 0 # Keeps track of the number of items in the current hashtable     def __contains__(self, key):        return self.__searchkey(key)     def __next_prime(self, x):        def is_prime(x):            return…

Hash Function

Java - A chained hash table has an array size of 512; what is the maximum number of entries that can be placed in the table?

Assume a hash table utilizes an array of 13 elements and that collisions are handled by separate chaining. Considering the hash function is defined as: h(k)=k mod 13. i) Draw the contents of the table after inserting elements with the following keys: 36, 243, 261, 180, 217, 180, 21, 16, 182, 202, 91, 97, 166, 78, 33, 70, 51, 58.

Write the lines of code to insert the key (book's ISBN) and value    ("book") pair into "my_hash_table".

Hashing Project in Python to Extract Features of Names   You are given the following three functions. They take plain text names and covert then into features vefctors so that you can work with them in a classification system.   Let's check your understanding of Python function. Add notes to each line describing what is happening in these functions.     FUNCTION ONE:   def hashfeatures(baby, B, FIX):   """   Input:     baby : a string representing the baby's name to be hashed     B: the number of dimensions to be in the feature vector     FIX: the number of chunks to extract and hash from each string       Output:     v: a feature vector representing the input string   """   v = np.zeros(B)   for m in range(FIX):     featurestring = "prefix" + baby[:m]     v[hash(featurestring) % B] = 1     featurestring = "suffix" + baby[-1*m:]     v[hash(featurestring) % B] = 1   return v     FUNCTION TWO:   def name2features(filename, B=128, FIX=3, LoadFile=True):   """   Output:     X : n feature…

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in C++   Write definition of search, isItemAtEqual, retrieve, remove, print, constructor, and destructor for class hashT based upon a method of your choice . Write a test program to test with at least 3 different hashing functions. No PLAGIARISM please . Thank you!

All of these statements are related to hash function, hash table.

Using the modulus operator within a hash function or on the output of a hash function: Will always cause rehashing. Will cause the hash table to shrink. Can cause collisions. O Will always produce a unique hash bucket.

Request: Can you please provide some C code to answer the following prompt? Question:   Consider a hash table to size 10. Write a program to insert the following keys 27, 6, 9, 32, 82, 12 and 56 into a chained hash table. Write a code to delete a key form the chained hash table