Assume that list1 contains 100 items. The number of items in the following slice is list1[-4:-3] list[slice(-4,-3 none)] ers 97 97th element one 1 element 97 in list1
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- If N represents the number of elements in the collection, then the contains method of the ArrayCollection class is O(1). True or False If N represents the number of elements in the list, then the index-based add method of the ABList class is O(N). True or FalseAssuming thelist has 10 elements, how many elements are in thelist[:9]? O 10 9. O None, it causes an error O 8Consider the following list: int list[] = (14, 18, 29, 35, 44, 49, 55, 58, 66, 71, 75, 80, 89, 95, 98) %3D When performing a binary search for 75, after the first comparison, the search is restricted to O list[8].. .list[14] O list [5]...list[11] O list[0].. .list[7] O list [0]. . .list[6]
- ID: A Name: 9. Consider the following code segment. theList + [-2, -1, 0, 1, 2] count1 0 count2 e FOR EACH value IN theList } IF(value > 0) count1 count1 + 1 { ELSE } count2 count2 + 1 EGO { { What are the values of count1 and count2 as a result of executing the code segment? countl = 5, count2 = 0 %3D c. %3D a. countl = 2, count2 = 2 %3D countl = 2, count2 = 3 d. %3D b. count1 = 3, count2 2 %3D 9.True or False For each statement below, indicate whether you think it is True or False. If you like, you can provide a description of your answer for partial credit in case you are incorrect. Use the standard linked list below to answer True/False statements 9-12: 8 7 null 4 10 The “head” pointer of this list is pointing to Node 4 If we called “insert(5)”, the new node’s “next” pointer will point to Node 8 If we called “delete(10)”, Node 7’s “next” pointer will point to Node 8 If we called “search(20)”, the “head” pointer will be at Node 4 after the search function endsIndex Element 00 25 01 62 02 76 03 471 Considering all the elements and its indexes at the right side: 04 243 05 99 06 07 81 111 Write a sequence of List operations that 08 719 would result to a LIST that contains 09 186 ONLY the elements with its respective indexes: {index[00]=104, index[01]=165, index[02]=115, index[03]=384, index[04]=248, index[05]=117}. 10 66 11 506 12 290 13 359 14 121 15 102 16 818 17 34 18 499 19 620 20 103 21 444 22 904 23 972 24 193
- Question 1 If N represents the number of elements in the collection, then the add method of the SortedArrayCollection class is O(N). True False Question 2 If N represents the number of elements in the list, then the index-based remove method of the ABList class is O(N). True False Question 3 The add method of our Collection ADT might throw the CollectionOverflowException. True False Question 4 A list allows retrieval of information based on the size of the information. True False Question 5 Our CollectionInterface defines a single constructor. True False Question 6 Our lists allow null elements. True False Question 7 Even though our collections will be generic, our CollectionInterface is not generic. True False Question 8 Our lists are unbounded. True False Question 9 If N represents the number of elements in the collection, then the contains method of the ArrayCollection class is O(N). True False Question 10 Our lists allow duplicate elements. True Falsecreate a piece of code that demonstrates how to find a key K using a skip list S. The search is carried out using the algorithm using the functions next(p) and below(p).Automated testing is required Your solutions can use:• the [] operator to get and set list elements (e.g., lst[i] and lst[i] = a)• the in and not in operators (e.g., a in lst)• the list concatenation operator (e.g., lst1 + lst2)• the list replication operator (e.g., lst * n or n * lst)• Python's built-in len, min and max functions, unless otherwise noted.Your solutions cannot use:• list slicing (e.g., lst[i : j] or (lst[i : j] = t)• the del statement (e.g., del lst[0])• Python's built-in reversed and sorted functions.• any of the Python methods that provide list operations, e.g., sum, append, clear, copy, count, extend, index, insert, pop, remove, reverse and sort• list comprehensions using python language Use the function design recipe to develop a function named max_min. The function takes a list of integers. (Assume that the list has at least two integers). The function returns the largest and smallest elements in the list as a string. For example, when the function's argument is…
- Automated testing is required Your solutions can use:• the [] operator to get and set list elements (e.g., lst[i] and lst[i] = a)• the in and not in operators (e.g., a in lst)• the list concatenation operator (e.g., lst1 + lst2)• the list replication operator (e.g., lst * n or n * lst)• Python's built-in len, min and max functions, unless otherwise noted.Your solutions cannot use:• list slicing (e.g., lst[i : j] or (lst[i : j] = t)• the del statement (e.g., del lst[0])• Python's built-in reversed and sorted functions.• any of the Python methods that provide list operations, e.g., sum, append, clear, copy, count, extend, index, insert, pop, remove, reverse and sort• list comprehensions using python language Use the function design recipe to develop a function named sum_range. The function takes a list of integers, which may be empty, and two indices m, n what specify the start and end range. The function returns the sum of the numbers in the list between the indices of a specified…Automated testing is required Your solutions can use:• the [] operator to get and set list elements (e.g., lst[i] and lst[i] = a)• the in and not in operators (e.g., a in lst)• the list concatenation operator (e.g., lst1 + lst2)• the list replication operator (e.g., lst * n or n * lst)• Python's built-in len, min and max functions, unless otherwise noted.Your solutions cannot use:• list slicing (e.g., lst[i : j] or (lst[i : j] = t)• the del statement (e.g., del lst[0])• Python's built-in reversed and sorted functions.• any of the Python methods that provide list operations, e.g., sum, append, clear, copy, count, extend, index, insert, pop, remove, reverse and sort• list comprehensions using python language Use the function design recipe to develop a function named unique_list. The function takes a list of strings, which may be empty. The function returns a new list that includes the first occurrence of each value in a list and omits later repeats. The returned list should include the…Automated testing is required Your solutions can use:• the [] operator to get and set list elements (e.g., lst[i] and lst[i] = a)• the in and not in operators (e.g., a in lst)• the list concatenation operator (e.g., lst1 + lst2)• the list replication operator (e.g., lst * n or n * lst)• Python's built-in len, min and max functions, unless otherwise noted.Your solutions cannot use:• list slicing (e.g., lst[i : j] or (lst[i : j] = t)• the del statement (e.g., del lst[0])• Python's built-in reversed and sorted functions.• any of the Python methods that provide list operations, e.g., sum, append, clear, copy, count, extend, index, insert, pop, remove, reverse and sort• list comprehensions using python language Use the function design recipe to develop a function named max_occurrences. The function takes a list of integers, which may be empty. The function returns value of the maximum occurrences in a given list. For example, when the function’s argument is [2, 4, 7, 9, 8, 2, 6, 5, 1, 6, 1,…