Added PS Merge SortThe content of theArray need to be merged into tempArrayusing the function call, merge(theArray, 0, 3, 7).[4] [5] [6] [7][0] [1] [2] [3]theArrayBKMFㅇTDiagram 9.2array into tamp array using the functioncall mergeOUTMO 2:57 / 3:38

ALGORITHM:- 1. Take input parameters in the function call. 2. Calculate the size of the subarrays to…

Answered: The content of theArray need to be…

The content of theArray need to be merged into tempArray using the function call, merge(theArray, 0, 3, 7). [0] [1] [2] [3] theArray B [4] [5] [6] [7] F0T K M D Diagram 9.2

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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What is the value of the median-of-3 for the following list. [80, 47, 41, 21, 40, 68, 78, 18, 75, 46, 30] Notes: • Your answer should be a single valid, non-negative, literal Python int value. For example, 123 is a valid int literal. • This question is asking about before any partition operation is carried out. • This is not asking for the median-of-3 index. • You can pre-check your answer (to check it's a valid, non-negative, literal int).
Coding language: C++. (Try to avoid linked lists if possible please). Add comments. Thanks. • Each functionality component must be implemented as a separate function, though the function does not need to be declared and defined separately • No global variables are allowed • No separate.hor.hpp are allowed • You may not use any of the hash tables, or hashing functions provided by the STL or Boost library to implement your hash table • Appropriate, informative messages must be provided for prompts and outputs You must implement a hash table using the Double Hashing collision strategy and the mid-square base 10 hashing function with an R of 2. Your collision strategy must be implemented as a separate function, though it may be implemented inside your insert/search/delete functions, and should halt an insert / search/delete functions, and should halt an insert/search/delete after table size number of collisions. Your hash function must be implemented as a separate function. Your hash table…
The mapped list pattern Our second pattern is the mapped list pattern, described in video 4 3 mapped list pattern. Often we need to write a function that takes a list as a parameter and returns a new list in which each item in the original list is "mapped" to a new item in the result list. For example, the following function takes a list of numbers as a parameter and returns a list of all the numbers squared, e.g. squares ( [1, 3, 7]) returns [1, 9, 49]. def squares (nums): "Returns the squares of the given numbers""" result = [] for num in nums: result.append (num * num) return result Although this is just a special case of the accumulator pattern, it is so common that we give it its own name: the mapped list pattern. Consider the following function: def squares(nums): ""Returns the squares of the given numbers""" result = [] for num in nums: result.append (num * num) return result If the main program calls print(squares ( [5, -3, 2, 7]) what is the state table for the function…
Exercise B: "Matrix Addition" For this exercise you will design and implement a function that takes two matrix arguments and computes their sum (if and only if a sum can actually be computed, returning an empty list otherwise). Two matrices can only be added together if they have exactly the same dimensions. If the dimensions are acceptable, then the matrix sum will have the same dimensions as either of the operands, and the value of each element in the matrix sum is itself the sum of the corresponding elements in the operand matrices. And although it does makes sense to test rectangularity before attempting addition, you need not perform this step (since you did it above). In order to complete this task, you will need to: ensure you know how matrix addition can be performed² ● Your submission for this exercise:
Write a function called list_to_dict(lst) that takes a 2-D list of sales records of this form.[["customer1", "bread", 5], ["customer2", "bread", 4.5], ["customer1", "egg", 6.75]]Your function will store the sales information in a dictionary, where each {key:value} pair of the dictionary stores {a unique customer: [ a list of all products purchased by this customer, total cost of these products]}, and returns the dictionary. Sample run,sales = [ ["customer1", "bread", 5], ["customer2", "bread", 4.5], ["customer1", "egg", 6.75],["customer2", "milk", 4.35], ["customer3", "egg", 3.6], ["customer4", "bread", 4.5],["customer1", "milk", 4.35], ["customer2", "egg", 3.6], ["customer4", "milk", 4.35] ]>>> record = list_to_dict(sales)>>> display(record)customer1 : [['bread', 'egg', 'milk'], 16.1]customer2 : [['bread', 'milk', 'egg'], 12.45]customer3 : [['egg'], 3.6]customer4 : [['bread', 'milk'], 8.85]
Review the following data structures in R: Arrays. Access R Studio. Then, demonstrate how to work with each Arrays as outlined below. Arrays Create an array of movies that contains the Top 10 movies of 2020.
Consider the following function access_element_by_index that returns the iterator to the element at the index i in the list l. typedef std::list<int> int_list; int_list::iterator access_element_by_index(size_t I, int_list &) { assert( ? ); … } Assume the first element of the list is at the index 0, the second at the index 1, and so on. If the function is required to return an iterator that can be dereferenced, determine the precondition of the function, and write an assertion to validate it. (You don’t need to implement the functions).
def drop_uninformative_objects(X, y):# your code herereturn X_subset, y_subset # TEST drop_uninformative_objects functionA = pd.DataFrame(np.array([[0, 3, np.nan],[4, np.nan, np.nan],[np.nan, 6, 7],[np.nan, np.nan, np.nan],[5, 5, 5],[np.nan, 8, np.nan],]))b = pd.Series(np.arange(6))A_subset, b_subset = drop_uninformative_objects(A, b) assert A_subset.shape == (3, 3)assert b_subset.shape == (3,)
Write the following function that partitions the list using the first element, called a pivot:def partition(lst): After the partition, the elements in the list are rearranged so that all the elements before the pivot are less than or equal to the pivot and the element after the pivot are greater than the pivot. The function also returns the index where the pivot is located in the new list. For example, suppose the list is [5, 2, 9, 3, 6, 8]. After the partition, the list becomes [3, 2, 5, 9, 6, 8]. Implement the function in a way that takes len(lst) comparisons. Write a test program that prompts the user to enter a list and displays the list after the partition.
hi I really need help with this assignment problem flip_matrix(mat:list)->list You will be given a single parameter a 2D list (A list with lists within it) this will look like a 2D matrix when printed out, see examples below. Your job is to flip the matrix on its horizontal axis. In other words, flip the matrix horizontally so that the bottom is at top and the top is at the bottom. Return the flipped matrix. To print the matrix to the console: print('\n'.join([''.join(['{:4}'.format(item) for item in row]) for row in mat])) Example: Matrix:W R I T XH D R L GL K F M VG I S T CW N M N FExpected:W N M N FG I S T CL K F M VH D R L GW R I T X Matrix:L CS PExpected:S PL C Matrix:A D JA Q HJ C IExpected:J C IA Q HA D J
1. Reverse the order of one dimensional array element between the two bounds.
3 4 5 5 7 3 9 3 1 2 B 4 5 7 9 0 2 3 4 5 8 0 1 def calculate_trip_time( iata_src: str, iata_dst: str, flight_walk: List[str], flights: FlightDir ) -> float: Return a float corresponding to the amount of time required to travel from the source airport to the destination airport to the destination airport, as outlined by the flight_walk. PERBE The start time of the trip should be considered zero. In other words, assuming we start the trip at 12:00am, this function should return the time it takes for the trip to finish, including all the waiting times before, and between the flights. If there is no path available, return -1.0 >>> calculate_trip_time("AA1", 2.0 >>> calculate_trip_time("AA1", >>> calculate_trip_time("AA1", >>> calculate_trip_time("AA1", 0.0 >>> calculate_trip_time("AA4", 14.0 >>> calculate_trip_time("AA1", 7.5 >>> calculate_trip_time("AA1", 2.0 *** "AA2", ["AA1", "AA2"], TEST_FLIGHTS_DIR_FOUR_CITIES) "AA7", ["AA7"] "AA1"], TEST_FLIGHTS_DIR_FOUR_CITIES) "AA7", ["AA1",…