Part 1: autocomplete term. Write an immutable data type Term.java that represents an autocomplete term-a query string and an associated integer weight. You must implement the following API,which supports comparing terms by three different orders: lexicographic order by query string (the natural order); in descending order by weight (an alternate order); and lexicographic order byquery string but using only the first r characters (a family of alternate orderings). The last order may seem a bit odd, but you will use it in Part 3 to find all query strings that start with a given prefix(of length r).public class Term implements Comparable {// Initializes a term with the given query string and weight.public Term (String query, long weight)// Compares the two terms in descending order by weight.public static Comparator byReverseWeight0rder ()// Compares the two terms in lexicographic order,// but using only the first r characters of each query.public static Comparator byPrefixOrder (int r)// Compares the two terms in lexicographic order by query.public int compareTo(Term that)// Returns a string representation of this term in the following format:// the weight, followed by a tab, followed by the query.public String tostring ()// unit testing (required)public static void main (String[] args)}Corner cases. Throw an 1llegalArgumentException in the constructor if either query is null or weight is negative. Throw an 1llegalArgumentException in byPrefixOrder () if r is negative.Unit testing. Your main () method must call each public constructor and method directly and help verify that they work as prescribed (e.g., by printing results to standard output).Performance requirements. The string comparison functions must take time proportional to the number of characters needed to resolve the comparison.

import java.util.*;import java.lang.*;import java.util.Comparator; public class Term implements…

Answered: omplete hat represents veight. 1ou must…

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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The function below, get_value_if_key, takes two arguments: the dictionary data_dict and a key of any type my_key. Fix the code to return the value from data_dict for key my_key if that key exists. The function should not return anything otherwise (i.e. return None).
List food_list contains words read from the first line of input. List food_allergies contains words read from the second line of input. For each element in food_list that is also in food_allergies: Output the element, followed by ' avoided'. Remove the element from food_list.
Define the function print_trophic_class_summary(tli3_values) that accepts a list of trophic level index values and prints a summary outlining the number of lakes in each trophic classification, in order from highest trophic classification to lowest. See the examples for the required format. Notes: Your function must print the summary, not return it. In each state line, the initial number should be formatted with width 3. (Hint: :3 will be helpful) All possible states must be included in the output, even states with zero lakes. The following list will be helpful: ['Hypertrophic', 'Supertrophic', 'Eutrophic', 'Mesotrophic', 'Oligotrophic', 'Microtrophic', 'Ultra-microtrophic'] You must include and use one of your number_in_trophic_class functions (take your pick!), plus your trophic_class function. Basically, you can start with your answer to Question 5 or 6 and add your print_trophic_class_summary function definition after your previous definitions. For example: Test Result…
What are the terms ao, a₁, a2, and a3 of the sequence [an}? Find the first four terms of the sequence given below. a = [n/2]+[n/2] n The values of the first four terms of the sequence are ao = a₁ = a2 = and ag
Three datasets have been used to make the boxplots and histograms. Match each boxplot to the appropriate histogram. A A B n 1 B [Choose] [Choose] [Choose ] 614 Th
Question 1.9: What word in vocab table was shortened the most by this stemming process? Assign most_shortened to the word. hint: function len(str) will return the length of the input string str. You will do a loop over rows of the vocabulary to compute the length of each word In [ ]: Splitting the dataset We're going to use our lyrics dataset for two purposes. First, we want to train various song genre classifiers. Second, we want to test the performance of our final classifier. Hence, we need two different datasets: training, and test. The purpose of a classifier is to generalize to unseen data that is similar to the training data Therefore, we must ensure that there are no songs that appear in two different sets We do so by splitting the dataset randomly. The dataset has already been permuted randomly, so it's easy to split We just take the top for training, and the last for test Question 1.10: Split the data with the ratio sex for training and 20% for testing In [ 1:
Create an Ordered Doubly Linked List in C++. Remember that an ordered Linked List is one where inserts automatically place a new node so that all the nodes retain a certain order. This list should be templated where items should be in "ascending" order (i.e., if it is a list of numbers, it should be of order of least to greatest).
What do the urlretrieve and urlopen functions do?
7. group_friends_by_food For this problem, you are given a mostly-working version of the Friend and FriendsDB classes from hw6 and hw7, and we will add new method to FriendsDB -- group_friends_by_food. group_friends_by_food returns a dictionary mapping from each of the favorite foods enjoyed by any friend to a list of the friends who enjoy that food, sorted in alphabetical order. (You can use the friends_who_love method to generate these lists.) A sample run should look like this: |>>> friend1 = Friend ("sarah", 165) >>> friend1.add_favorite_food ("strawberries") >>> friend2 - Friend ("dweezil", 175) >>> friend2.add_favorite_food("pizza") >>> friend3 = Friend("bimmy", 60) >>> friend3.add_favorite_food("pizza") >>> friend3.add_favorite_food("strawberries") >>> db = FriendsDB() >>> db.add friend (friend1) >>> db.add_friend(friend2) >>> db.add friend(friend3) >>> db.group_friends_by_food() {'strawberries': ['bimmy', 'sarah'], 'pizza': [' bimmy', 'dweezil']}
Write the lines of code to insert the key (book's ISBN) and value ("book") pair into "my_hash_table".
TopText Publishing is a textbook publishing company with a headquarters location, a warehouse, and three sales offices that each have a sales manager and sales reps. TopText sells to schools, colleges, and individual customers. Many authors write more than one book for TopText, and more than one author writes some books. TopText maintains an active list of more than 100 books, each identified by a universal code called an ISBN. You have been asked to draw an ERD for the TopText information system and to include cardinality notation in your diagram.
What's wrong with this cell?

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