Course : Data Structure and Algorithms   In this Problem, you are required to insert some keys into a hash table, using given hash functions. You have to Draw a Hash table with the inserted keys. Write total number of collisions encountered when a particular collision resolution technique is used. size=13, H(X) = sum of Ascii codes of key % HTSIZE Keys: Mia, Bea, Zoe, Jan, Ada, Sam, Leo, Meo, Ben, Tim, Ted, Z

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 =…

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Using double Hashing, insert items with keys: 69, 86, 33, 47, 17, 55 into an empty hash table. tableSize: 7 hash1(x) = x mod tableSize. hash₂(x) = R-(x mod R), R is a prime number smaller than tableSize hash1(x) + hash2(x) mod tableSize

The following hash table uses linear probing for collision resolution and the hash code value calculation simply returns the full integer value of the key. Based on the data in this table, list two possible different valid orders that the data could have been inserted into it. List the inserted value order with a space between each value and no commas. 0 42 1 14 2 21 3 4 5 19 6 Blank # 1 A Blank # 2 A/

CSC 472 Introduction to Database Systems Project Consider the hashing approach for computing aggregations. If the size of the hash table is too large to fit in memory, then the DBMS has to spill it to disk. During the Partition phase, a hash function h1 is used to split tuples into partitions on disk based on targethash key. During the ReHash phase, the DBMS can store pairs of the form (GroupByKey -> RunningValue) to computethe aggregation. Which of the following is FALSE ? Group of answer choices The Partition phase will put all tuples that match (using h1) into the same partition. To insert a new tuple into the hash table, a new (GroupByKey -> RunningValue) pair is inserted if it finds a matching GroupByKey. A second hash function (e.g., h2) is used in the ReHash phase. The RunningValue could be updated during the ReHash phase.

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

5. Here are keys and their hash values, for hashing using h(k)= k mod m Where m = 13 130 108 K H(K) 9 0 4 Use double hashing to resolve the collision with h2(k)= 10 - (k mod 10) Construct the hash table 100 78 0 35 9