A hash function H accepts a variable length block of data (plaintext) as input and produces a fixed size hash value ix xi. a. H(N) b. H(P) c. M(H) d. H(M)

Suppose you have a hash table of size N = 256, and you are using double hashing. The keys in your hash are 4-digit integers (0000 through 9999) and your hash function is h(k) = (k²)%N The second hash function (used for probing) is h₂(k) = (sum-of-digits (k) * 8)%N What are the first 4 values in the search sequence (starting with the home position) for a record with key k-2025?

Computer science question

The Java hash function for Strings computes a hash code based on a fixed maximum number of characters of the string. Given that Strings have no meaningful upper bound in length, describe how an effective, constant-time hashing algorithm can be constructed. (Hint: If you were to pick, say, eight characters to represent a string of length l, which would you choose?)

PYTHON Why am I getting an error and it doesn't show the right output?  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…

The hash function h(k)= [(m(kA mod 1)] for A = 2-³ is used to insert the keys 61, 62, 63, 64, and 65 into a hash table of size m = 1000. The order of the hash codes in the table are given by a. 625, 125, 0, 750, 875 b. 625, 750, 625, 125, 0 c. 625,125, 0, 875, 750 d. 625, 750, 875, 0, 125 e. 625, 750, 125, 875, 0

Use python

Task - 1: Write a java program to implement the following algorithms for Open Addressing techniques for Hash Table data structure. (Use a simple array of integers to store integer key values only). HASH-SEARCH(T, k) HASH-INSERT (T, k) i = 0 repeat j = h (k, i) if T[j] == NIL T[j] = k return j else i = i + 1 ● i = 0 repeat until i == m error “hash table overflow" For both algorithms, to compute the index j, write the following methods: getLinear ProbIndex (key, i) getQuadraticProbIndex ● get DoubleHash (key, i) (key, i) j = h (k, i) if T[j] == k return j i = i + 1 until T[j] == NIL or i = m return NIL Linear Probing index is computed using following hash function: h(k, i) = (h₁(k) + i) mod m h₁(k)= k mod m Quadratic probing index is computed using following hash function: h(k, i) = (h₁(k) + i²) mod m h₁(k)= k mod m Double hashing index is computed using following hash function: h(k, i) = (h₁(k) + i h₂(k)) mod m h₁(k)= k mod m h₂(k) = 1 + (k mod m - 1)

Implement a commonly used hash table in a program that handles collision using linear probing. Using (K mod 13) as the hash function, store the following elements in the table: {1, 5, 21, 26, 39, 14, 15, 16, 17, 18, 19, 20, 111, 145, 146}.

1. Given the following keys: 323, 156, 731, 125, 73, 200 The size of the hash table is 11 The hash function, h(k)= k mod m Use Quadratic Probing to resolve any collision, with constants C₁ = 1 and C₂ = 2 First compute the hash values using h(k) function and construct a table of k and h(k) as shown below: k H(K) 323 156 731 125 73 200 Show sample computations for h(k) Now construct a Hash Table of size 11 and place the keys (k) properly. Must give proper explanations and show computational details for each collision.