Please review this coding lines:

MIN = -1000 MAX = 1000 class CompactList: def __init__(self,inlist=[]): # Sort the input list and initialize the compact list sorted_list = sorted(set(inlist)) self.compact_list = self.compress(sorted_list) ##In the constructor, we first create a sorted and unique list from the input list inlist. This ensures that the compact list will be in non-decreasing order. Then, we call the compress method to create the compact representation of the sorted list. def compress(self, sorted_list): compact_list = [] i = 0 while i < len(sorted_list): start = sorted_list[i] end = start + 1 while end in sorted_list: end += 1 compact_list.extend([start, end]) i = sorted_list.index(end)if end in sorted_list else len(sorted_list) return compact_list ##The compress method takes a sorted list as input and compresses it into a compact representation. It iterates through the sorted list, identifying consecutive ranges of integers. For each range, it adds the start and end values to the compact list. The loop continues until all ranges have been processed. def cardinality(self): return sum((end - start) for start, end in zip(self.compact_list[0::2], self.compact_list[1::2])) ##The cardinality method calculates the number of elements in the set represented by the compact list. It does this by summing the differences between consecutive pairs of start and end values in the compact list. def insert(self,value): if not self.contains(value): self.compact_list.append(value) self.compact_list.append(value + 1) self.compact_list.sort() ##The insert method adds a new value to the compact list if it is not already present. It does so by appending the value and its next consecutive integer to the compact list and then sorting the list. def delete(self,value): if self.contains(value): index = self.compact_list.index(value) del self.compact_list[index:index + 2] ##The delete method removes a value from the compact list if it is present. It finds the index of the value and deletes that value and its next consecutive integer from the list. def contains(self,value): i = 0 while i < len(self.compact_list): start, end = self.compact_list[i], self.compact_list[i + 1] if start <= value < end: return True i += 2 return False def subsetOf(self,cl): return all(cl.contains(value) for value in self) def equals(self,cl): return self.compact_list == cl.compact_list def isEmpty(self): return not bool(self.compact_list) def complement(self): complement_list = [] if not self.isEmpty(): start = MIN for end in self.compact_list[0::2]: complement_list.extend([start, end]) start = end + 1 # If the last interval does not reach MAX, add the remaining interval if complement_list[-1] < MAX: complement_list.extend([complement_list[-1] + 1, MAX + 1]) return CompactList(complement_list) def union(self,cl): union_list = self.compact_list + cl.compact_list union_list.sort() return CompactList(union_list) def intersection(self,cl): # TODO: Implement the intersection operation pass def difference(self,cl): # TODO: Implement the set difference operation pass def __str__(self): intervals = [f'[{start},{end - 1}]' for start, end in zip(self.compact_list[0::2], self.compact_list[1::2])] return ' U '.join(intervals) if intervals else 'empty' if __name__ == "__main__": mycl1 = CompactList([]) print(mycl1) print(mycl1.cardinality()) mycl2 = CompactList([9,8,3,4,5]) print(mycl2) print(mycl2.cardinality()) print(mycl2, "contains 4:",mycl2.contains(4)) mycl1 = CompactList([10,1,11]) mycl3 = mycl1.union(mycl2) print(mycl3) print(mycl3.cardinality()) mycl1 = mycl2.complement() print(mycl1) print(mycl1.cardinality()) mycl1 = CompactList([MAX]) print(mycl1) print(mycl1.cardinality())

Against this question:

Compact List Data Structure In this task, you have to implement a data structure called a compact list. Compact lists are compact ways of representing large sets of integers, where the set contains long runs of consecutive integers. For example, the set of integers {1000, 999, 998, . . . , 10} {100, 101, 102, . . . , 200} {1001, 1002, 1003, . . . , 1999} is represented by the compact list 1000, 9, 100, 201, 1001, 2000. The meaning of this list is that the numbers start at 1000, then the first number that is not in the list is 9, then the first number after 9 that is again in the set is 100, then the first number after 100 that is not in the set is 201, then the first number after 201 that is in the set is 1001, and the first number after 1001 that is not in the set is 2000. Since the list ends here, no number from 2000 and onwards is in the set. As another example, the set {5, 4, 3, 0, 1, 2, 7, 8, 9, 10} is represented by the compact list 5, 2, 0, 3, 7, 11. Compact lists can also have an odd length. For example, the compact list 5, 70, 80 represents the set {5, 6, 7, . . . , 69, 80, . . . }. Thus, we understand a compact list of odd length as representing a set which after a certain value (in this case 80) contains all integers from that value on. In practice, such as when we implement compact lists for integers, we let the set go up to a maximum value, which will fix as a variable MAX. We also set MIN as the minimum value of an integer included in a set. In other words, the sets that we represent as compact lists will be subsets of the universal set {MIN, MIN+1,. . . ,MAX}. 1 In general, a compact list of integers represents a set of integers as a list x0, x1, x2, . . . of integers such that x0 < x1 < x2 < . . . , with the meaning that all integers from x0 to x1 1, as well as all from x2 to x3 1, and so on, are included in the set. Thus, the included integers start at x0, then the first integer larger than x0 not to be included is x1, then the next integer after x1 to be included is x2 and so on. The empty set is represented as an empty list (of length 0). If the compact list has an odd length, it contains all values from the last entry in the list up to the maximum value MAX. As a final example, the set of all integers is represented by the one-element compact list MIN: that is, it consists of the single number MIN. You have to implement a class called CompactList which implements various set operations, as described below. Before we describe the various functionalities, we quickly review the basic set operations and relations, to establish notation. Given sets A and B, their union is the set A B defined as the set of all elements that are in A or in B or in both A and B, their intersection is the set A B defined as the set of all elements that are in A and in B, their difference is the set A \ B defined as the set of all elements that are in A but not in B. The set A is a subset of set B, written A B, if each element of A is also an element of B. The sets A and B are considered to be equal if they have the same elements. If all the sets that we consider are contained in some universal set U, then the complement of set A is the set Ac = U \ A. Below, whenever we mention union, intersection, difference or complement, we always refer to the sets represented by compact lists of integers. For example, the union of the set A = {10, . . . , 19} represented by the compact list 10, 20, and the set B = {30, . . . , 39} represented by the compact list 30, 40, is the set A B represented by the compact list 10, 20, 30, 40. As another example, the intersection of the set A with the set C = {15, . . . , 24}, represented by the compact list 15, 25, is the set A C = {15, 16, 17, 18, 19} represented by the compact list 15, 20. For the purposes of our set operations, the universal set is the set {MIN,MIN+1,. . . ,MAX} of integers, and so we take complements with respect to this set. For example, the complement of set A is the set {MIN, . . . , 9} {20, . . . }, represented by the compact list MIN, 10, 20. The following list (a )(m ) describes the functionalities that you have to implement. You can use the template file CompactList.py on Moodle. (a ) Constructor for a compact list from a Python list: __init__(alist) Creates a compact list to represent the set of integers given by the Python list alist. As an example, CompactList([8,3,5,4]) initialises the compact list 3, 6, 8, 9. (b ) Instance method: cardinality() Returns the number of elements in the set represented by this compact list. The worst-case time should be O(n) where n is the length of the compact list. (c ) Instance method: insert(value) Inserts value into the set represented by this compact list if value is not already contained in the set. The worst-case time should be O(n) where n is the length of the compact list. (d ) Instance method: delete(value) Removes value from the set represented by this compact list if value is in the set, otherwise does nothing. The worst-case time should be O(n) where n is the length of the compact list. (e ) Instance method: contains(value) Returns True if value is an element of the set represented by this compact list, otherwise returns False. The worst-case time should be O(log n), where n is the length of this compact list. 2 (f) Instance method: subsetOf(cl) Returns True if the set represented by this compact list is a subset of the set represented by cl, otherwise returns False. The worst-case time should be O(m + n) where m is the length of this compact list and n is the length of cl. (g ) Instance method: equals(cl) Returns True if the set represented by this compact list has the same elements as the set represented by cl, otherwise False. The worst-case time should be O(m + n) where m is the length of this compact list and n is the length of cl. (h ) Instance method: isEmpty() Returns True if the compact list represents the empty set, False if not. The worst-case running time should be O(1). (i) Instance method: complement() Returns the complement of the set represented by this compact list, also represented as a compact list, where the complement is with respect to the universal set of integers determined by MIN and MAX. The worst-case time should be O(n) where n is the length of the compact list. (j) Instance method: union(cl) Returns the union of the set represented by this compact list with the set represented by the compact list cl. The method does not alter the current compact list or cl. The worst-case time should be O(m + n) where m is the length of this compact list and n is the length of cl. (k ) Instance method: intersection(cl) Returns the intersection of the set represented by this compact list with the set represented by the compact list cl. The method does not alter the current compact list or cl. The worst-case time should be O(m + n) where m is the length of this compact list and n is the length of cl. (l) Instance method: difference(cl) Returns the set difference this\cl of the set represented by this compact list with the set represented by cl removed. The method does not alter the current compact list or cl. The worst-case time should be O(m + n) where m is the length of this compact list and n is the length of cl. (m ) Instance method: __str__() Returns a string representation of this compact list x_0, x_1, x_2, ... in the form [x_0,x_1 - 1] U [x_2,x_3 - 1] U ... (that is, as a union of closed intervals of integers). If this compact list is empty, it returns empty. Hints: 1. Finding the union or the intersection of two compact lists is similar to the Merge() method that we saw when we looked at Merge Sort. 2. Once you have implemented union(cl) and complement() and you have made sure that they work, then it is very simple to implement intersection(cl), difference(cl), subsetOf(cl), equals(cl), as well as insert(value) and delete(value), by writing these set operations and relations in terms of union(cl) and complement(). For example, A B = (Ac Bc ) c and A \ B = A Bc . Remember to explain all your code with comments, when needed, and to indent properly. Do not use any Python modules or libraries, except the standard functionalities of Python lists.

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