Returns a new set with only the values that appear in both self and ssource.
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- In a disjoint set data strücture, the union operation is done using ranks. That is, the lower rank is added to the larger one. If equal, the right is added to the left. For example, in union (1, 2), if the ranks of the two sets are equal, the set of 2 is added to 1. Accordingly, after the elements 1, 2, 3, 4, 5, 6, 7, 8, 9 are set with make-set,What is the height of the tree resulting from operations union(1,2), union(3,4), union(4,5),union(1,7), union(3,6), union (8,9), union (1,8), union(3,1)? 1 2 3 4 5import numpy as npimport matplotlib.pyplot as pltfrom sklearn.cluster import KMeansfrom sklearn.cluster import DBSCAN from sklearn.datasets import make_blobs n_samples = [750,750,750] cluster_std = 1 random_state = 200 X, Y_true = make_blobs(n_samples=n_samples, random_state=random_state, cluster_std=cluster_std) plt.scatter(X[:, 0], X[:, 1], marker='.', c=Y_true) #DBSCAN model, setting up required parameters eps = 0.4min_Samples = 10db = DBSCAN(eps=eps, min_samples=min_Samples).fit(X)labels = db.labels_labels # To count number of clusters in labels, ignoring noise if present.n_clusters_ = len(set(labels)) - (1 if -1 in labels else 0)n_noise_ = list(labels).count(-1) print('Estimated number of clusters: %d' % n_clusters_)print('Estimated number of noise points: %d' % n_noise_) # Plot result# Use black to label noise points.unique_labels = set(labels)colors = plt.cm.Spectral(np.linspace(0, 1, len(unique_labels))) core_samples_mask = np.zeros_like(db.labels_,…Question 11 If N represents the number of elements in the collection, then the contains method of the ArrayCollection class is O(1). True False Question 12 With the text's array-based list implementation, the set of stored elements is scattered about the array. True False Question 13 The add method of the LinkedCollection class places the new element at the beginning of the underlying linked list. True False Question 14 If N represents the number of elements in the list, then the index-based add method of the ABList class is O(N). True False Question 15 The attributes of a class that are used to determine equality of objects of the class are called the key attributes. True False Question 16 According to the text's specifications, a collection is a list. True False Question 17 O(1) is the order of growth execution time of the add operation when using the ArrayCollection class, assuming a collection size of N. True False Question 18 When an object of class LBList…
- Consider the perfume dataset in the file, it contains the strength of the smell of 20 perfumes measured by an odor meter throughout 25 seconds, so each second (column) is a new measurement. Write a program to group these perfumes based on the similarity in the strength of their smell. You should use k-means clustering algorithm. The final output of your program should show k lists of perfumes, and show outlier perfume’s records (if exists).Question 30 If N represents the number of elements in the list, then the index-based add method of the LBList class is O(N). True False Question 31 A header node does not contain actual list information. True False Question 32 Any class that implements the Comparable interface must provide a compareTo method. True False Question 33 A SortedABList list can only be kept sorted based on the "natural order" of its elements. True False Question 34 O(N) is the order of growth execution time of the add operation when using the SortedArrayCollection class, assuming a collection size of N. True False Question 35 The iterator operation is required by the Iterable interface. Group of answer choices True False Question 36 O(N) is the order of growth execution time of the remove operation when using the SortedArrayCollection class, assuming a collection size of N. True False Question 37 O(N) is the order of growth execution time of the index-based add operation when…#7. HashTable Data Type: By having each bucket contain a linked list of elements that are hashed to that bucket. Usage: >>> table = SeparateChainingHashTable() # Create a new, empty map. >>> table.put('hello', 'world') # Add a new key-value pair. >>> len(table) # Return the number of key-value pairs stored in the map. 1 >>> table.get('hello') # Get value by key. 'world' >>> del table['hello'] # Equivalent to `table.del_('hello')`, deleting key-value pair. >>> table.get('hello') is None # Return `None` if a key doesn't exist. True """ _empty = None def __init__(self, size=11): self.size = size self._len = 0 self._table = [self._empty] * size def put(self, key, value): hash_ = self.hash(key) node_ = self._table[hash_] if node_ is self._empty: self._table[hash_] = Node(key, value) else: while node_.next is not None:…
- Question 4 A ) Our List ADT supports: Group of answer choices all the collection operations indices iteration retrieving an element based on its key All of these are correct B )Our Collection ADT supports: Group of answer choices retrieval by priority storage of null first in first out access retrieving an element based on its key All of these are correct Full explain this question and text typing work only thanks All part solution send meCorrect answer will be upvoted else downvoted. Computer science. Vanya needs to count the number of unacceptable integers for the picked set S. Vanya plans to attempt various sets S. He needs you to compose a program that tracks down the number of inadmissible integers for the underlying set S, and after each change to the set S. Vanya will make q changes to the set, and each change is one of the accompanying two sorts: add another integer a to the set S, or eliminate some integer a from the set S. Input The principal line contains two integers n, q (1≤n,q≤200000) — the size of the underlying set S and the number of changes. The following line contains n particular integers s1,s2,… ,sn (1≤si≤1013) — the underlying components of S. Every one of the accompanying q lines contain two integers ti, computer based intelligence (1≤ti≤2, 1≤ai≤1013), depicting a change: In the event that ti=1, an integer simulated intelligence is added to the set S. It is ensured that…please update generateRandoms, letterToGrades, sumBetween, countCharacters //A6Utilities.java import java.io.IOException;import java.nio.file.Files;import java.nio.file.Paths;import java.security.SecureRandom;import java.util.List;import java.util.TreeMap;import java.util.function.Function;import java.util.stream.Collectors;public class A6Utilities {/*** Returns the corresponding letter grade. Don't modify this method, simply use it when converting single* grades to their equivalent letter grade** @param grade the integer grade to convert* @return the letter grade equivalent to the integer grade*/private static char letterGrade(final int grade) {if (grade < 0) return '?';else if (grade < 60) return 'F';else if (grade < 70) return 'D';else if (grade < 80) return 'C';else if (grade < 90) return 'B';else if (grade <= 100) return 'A';else return '?';}/*** The method uses Java Streams only. Don't use any looping structures, conditional statements are OK (IF, TERNARY,…
- Implement a __setitem__ function that also supports negative indices. For example: W = L2(Node(10, Node(20, Node(30))))print W[ 10, 20, 30 ] W[1]=25print W[ 10, 25, 30 ] W[-1]=35print W[ 10, 25, 35 ] Complete the code: def L2(*args,**kwargs): class L2_class(L): def __getitem__(self, idx): <... YOUR CODE HERE ...> def __setitem__(self, idx, value): <... YOUR CODE HERE ...> return L2_class(*args,**kwargs) W = L2(Node(10, Node(20, Node(30))))print(W)W[1]=25print(W)W[-1]=35print(W)Draw the Weighted Quick Union object on 0 through 10, that results from the following connectconnectcalls. Do not use path compression. Note that if we connect two sets of equal weight, by convention we make the set whose root has a smaller number the parent of the other. We use the convention that if an element is the root of the set, its array value is the weight of the set negated. connect(0, 1); connect(2, 3); connect(9, 5); connect(5, 7); connect(7, 1); connect(4, 2); connect(3, 1);Implement the RandomizedSet class: RandomizedSet() Initializes the RandomizedSet object. bool insert(int val) Inserts an item val into the set if not present. Returns true if the item was not present, false otherwise. bool remove(int val) Removes an item val from the set if present. Returns true if the item was present, false otherwise. int getRandom() Returns a random element from the current set of elements (it's guaranteed that at least one element exists when this method is called). Each element must have the same probability of being returned. You must implement the functions of the class such that each function works in average O(1) time complexity. Example 1: Input ["RandomizedSet", "insert", "remove", "insert", "getRandom", "remove", "insert", "getRandom"] [[], [1], [2], [2], [], [1], [2], []] Output [null, true, false, true, 2, true, false, 2] Explanation RandomizedSet randomizedSet = new RandomizedSet(); randomizedSet.insert(1); // Inserts 1 to the set. Returns…