Implement a resize function for a hash table. Resizing is the process of increasing a hash table's size when too many items have beenadded, reducing the hash table's effectiveness.To resize the hash table, increase the size of the table by some small factor (not less than 2x), remove everything from the old table, andinsert it into the new larger table. Make sure to free up memory that is no longer used after resizing.Use the following heuristics to resize the table:• When the load factor exceeds .5.If no entry is found within the probe distance.Note, you may need to change insert as well to have a fully working solution.

Implementing resize function for hash table using C++ Algorithm

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Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Implement the build_dictionary() function to build a word frequency dictionary from a list of words. Ex: If the words list is: ["hey", "hi", "Mark", "hi", "mark"] the dictionary returned from calling build_dictionary(words) is: {'hey': 1, 'hi': 2, 'Mark': 1, 'mark': 1} Ex: If the words list is: ["zyBooks", "now", "zyBooks", "later", "zyBooks", "forever"] the dictionary returned from calling build_dictionary(words) is: {'zyBooks': 3, 'now': 1, 'later': 1, 'forever': 1} The main code builds the word list from an input string, calls build_dictionary() to build the dictionary, and displays the dictionary sorted by key value. Ex: If the input is: hey hi Mark hi mark the output is: Mark: 1 hey: 1 hi: 2 mark: 1
Implement the build_dictionary() function to build a word frequency dictionary from a list of words. Ex: If the words list is: ["hey", "hi", "Mark", "hi", "mark"] the dictionary returned from calling build_dictionary(words) is: {'hey': 1, 'hi': 2, 'Mark': 1, 'mark': 1} Ex: If the words list is: ["zyBooks", "now", "zyBooks", "later", "zyBooks", "forever"] the dictionary returned from calling build_dictionary(words) is: {'zyBooks': 3, 'now': 1, 'later': 1, 'forever': 1} The main code builds the word list from an input string, calls build_dictionary() to build the dictionary, and displays the dictionary sorted by key value. Ex: If the input is: hey hi Mark hi mark the output is: Mark: 1 hey: 1 hi: 2 mark: 1 CODE I HAVE TO USE: # The words parameter is a list of strings.def build_dictionary(words): # The frequencies dictionary will be built with your code below. # Each key is a word string and the corresponding value is an integer # indicating that word's frequency.…
Implement the build_dictionary() function to build a word frequency dictionary from a list of words. Ex: If the words list is: ["hey", "hi", "Mark", "hi", "mark"] the dictionary returned from calling build_dictionary(words) is: {'hey': 1, 'hi': 2, 'Mark': 1, 'mark': 1} Ex: If the words list is: ["zyBooks", "now", "zyBooks", "later", "zyBooks", "forever"] the dictionary returned from calling build_dictionary(words) is: {'zyBooks': 3, 'now': 1, 'later': 1, 'forever': 1} The main code builds the word list from an input string, calls build_dictionary() to build the dictionary, and displays the dictionary sorted by key value. Ex: If the input is: hey hi Mark hi mark the output is: Mark: 1 hey: 1 hi: 2 mark: 1 python # The words parameter is a list of strings.def build_dictionary(words): # The frequencies dictionary will be built with your code below. # Each key is a word string and the corresponding value is an integer # indicating that word's frequency. ''' Type your…
Implement the build_dictionary() function to build a word frequency dictionary from a list of words. Ex: If the words list is: ["hey", "hi", "Mark", "hi", "mark"] the dictionary returned from calling build_dictionary(words) is: {'hey': 1, 'hi': 2, 'Mark': 1, 'mark': 1} Ex: If the words list is: ["zyBooks", "now", "zyBooks", "later", "zyBooks", "forever"] the dictionary returned from calling build_dictionary(words) is: {'zyBooks': 3, 'now': 1, 'later': 1, 'forever': 1} The main code builds the word list from an input string, calls build_dictionary() to build the dictionary, and displays the dictionary sorted by key value. Ex: If the input is: hey hi Mark hi mark the output is: Mark: 1 hey: 1 hi: 2 mark: 1 this is the code im supposed to use: # The words parameter is a list of strings.def build_dictionary(words): # The frequencies dictionary will be built with your code below. # Each key is a word string and the corresponding value is an integer # indicating that word's…
Implement the build_dictionary() function to build a word frequency dictionary from a list of words. Ex: If the words list is: ["hey", "hi", "Mark", "hi", "mark"] the dictionary returned from calling build_dictionary(words) is: {'hey': 1, 'hi': 2, 'Mark': 1, 'mark': 1} Ex: If the words list is: ["zyBooks", "now", "zyBooks", "later", "zyBooks", "forever"] the dictionary returned from calling build_dictionary(words) is: {'zyBooks': 3, 'now': 1, 'later': 1, 'forever': 1} The main code builds the word list from an input string, calls build_dictionary() to build the dictionary, and displays the dictionary sorted by key value. Ex: If the input is: hey hi Mark hi mark the output is: Mark: 1 hey: 1 hi: 2 mark: 1 python please-I submitted some previous code that gave me a space between the Name/work and : that is not supposed to be there
Implement a dynamically resizable hash table to store book names and 10-digit ISBN numbers. Use an initial table size of 11 and a load factor of 0.70. Use the extraction method with division using the last three digits of the ISBN as the first hash address. For a collision, use linear probing. For your testing, make sure you deliberately code ISBNs so that collisions will occur, and demonstrate how the same set of values can result in different hashes, depending on the order in which they are added. Test adding items until the hash table must be resized. Test finding and removing items from the hash table.
In this task, two hash tables should should be implemented. You can follow the followinginstructions:- In class HashTable implement a hash table and consider the following:(i) Keys are integers (therefore also negative!) and should be stored in the tableint[] data.(ii) As a hash function take h(x) = (x · 701) mod 2000. The size of the table istherefore 2000. Be careful when computing the index of a negative key. Forexample, the index of the key x = −10 ish(−10) = (−7010) mod 2000 = (2000(−4) + 990) mod 2000 = 990.Hence, indices should be non-negative integers between 0 and 1999!(iii) Implement insert, which takes an integer and inserts it into a table. Themethod returns true, if the insertion is successful. If an element is already inthe table, the function insert should return false.(iv) Implement search, which takes an integer and finds it in the table. The methodreturns true, if the search is successful and false otherwise.(v) Implement delete, which takes an integer and deletes it…
# write your implementation heredef maxProfitBrute(changes): """ it returns the indices of (i,j) indicating the day to buy and sell respectively to have the maximum profit in a list of prices per day in <changes>. Inputs: - changes: the list holding the changes in prices; the value whose index is k represents the change between day <k> and day <k+1> <changes> has at least a single change [two days] Output: - i: the index of the change before which we buy - j: the index of the change after which we sell - maxProfit: the value of the maximum profit Example: changes = [1,2] - that means the price started with <x>; - day 1: it became <x+1> - day 2: it became <x+3> In that case: (i,j) = (0,1) as we should buy at the first day, and sell after the third day """ # return the values return (0,0,0)
In class HashTable implement a hash table and consider the following:(i) Keys are integers (therefore also negative!) and should be stored in the tableint[] data.(ii) As a hash function take h(x) = (x · 701) mod 2000. The size of the table istherefore 2000. Be careful when computing the index of a negative key. Forexample, the index of the key x = −10 ish(−10) = (−7010) mod 2000 = (2000(−4) + 990) mod 2000 = 990.Hence, indices should be non-negative integers between 0 and 1999!(iii) Implement insert, which takes an integer and inserts it into a table. Themethod returns true, if the insertion is successful. If an element is already inthe table, the function insert should return false.(iv) Implement search, which takes an integer and finds it in the table. The methodreturns true, if the search is successful and false otherwise.(v) Implement delete, which takes an integer and deletes it form the table. Themethod returns true, if the deletion is successful and false otherwise.(vi)…
Please implement in Java implement a keyed bag in which the items to be stored are strings (perhaps people’s names) and the keys are numbers (perhaps Social Security or other identification numbers). So, the in- sertion method has this specification: public void insert(String entry, int key);// Precondition: size( ) < CAPACITY, and the // bag does not yet contain any item// with the given key.// Postcondition: A new copy of entry has// been added to the bag, with the given key. When the programmer wants to remove or retrieve an item from a keyed bag, the key of the item must be specified rather than the item itself. The keyed bag should also have a boolean method that can be used to determine whether the bag has an item with a specified key. In a keyed bag, the pro- grammer using the class specifies a particular key when an item is inserted. Here’s an implementation idea: A keyed bag can have two private arrays, one that holds the string data and one that holds the corresponding…
We wish to build a Hash Table, which is able to deal with collision by using linear and quadratic probing. Please write a public class HashLinQuad as follows: public class HashLinQuad { private int[] table; //hash table private int size; //current number of elements private int capacity //capacity of the hash table private HashLinQuad (int size){ table = new int[size]; } public int addLin (int obj) { … //add obj into table using linear probing } public int addQuad (int obj){ … //add obj into table using quadratic probing } … } 1. Implement the two methods addLin and addQuad that apply linear and quadratic probing, respectively. 2. Test your implemented methods addLin and addQuad . To this end, create the following two objects in class Main : HashLinQuad linHashTable = new HashLinQuad(1249); HashLinQuad quadHashTable = new HashLinQuad(1249); 3. Please insert the same 1000 random integer values (in the same order) into: a. the object `linHashTable` by using the method `addLin` and count…
Write a test client TestBinarySearch.java for use in testing the implementations of min(), max(), floor(), ceiling(), select(), rank(),deleteMin(), deleteMax(), and keys() that are given in the text. Start with the standard indexing client . Add code to take additional command-line arguments, as appropriate

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