Absolute Java (6th Edition)
Absolute Java (6th Edition)
6th Edition
ISBN: 9780134041674
Author: Walter Savitch, Kenrick Mock
Publisher: PEARSON
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Chapter 16, Problem 4STE
Program Plan Intro

To find whether the object of the hash set can contain multiple copies of some element.

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HashSet Iterator Example : How To Iterate Through A HashSet/Set
code: public class PasswordGeneratorAndStorage {/*** Adds an application to the applications ArrayList. If index is -1, add application* to the end of applications. Else is index is within the size of applications, add* application at that index in applications. Otherwise, return. However, if applications * or application is null, return.* * @param applications* @param application* @param index*/public static void addApplication(ArrayList<String> applications, String application, int index) {// TODO: FILL IN BODY}/*** Generates a random password of length passwordLength and adds it to the end of* passwords if index is -1, or adds it to the index of passwords if index is within the* size of passwords (similar to how the addApplication adds an application). To generate* the random password, use rand to generate a random int within the size of characters. You* can then use this int to grab the char at that index in characters and concatenate that* to your String password variable.…
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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