Write the following function to sort a list of points on their y-coordinates. Each point is a list of two values for x- and y- coordinates. # Returns a new list of points sorted on the y-coordinatesdef sort(points):For example, the points [[4, 2], [1, 7], [4, 5], [1, 2], [1, 1], [4, 1]] will be sortedto [[1, 1], [4, 1], [1, 2], [4, 2], [4, 5], [1, 7]]. Write a test program that displaysthe sorted result for points [[4, 34], [1, 7.5], [4, 8.5], [1, -4.5], [1, 4.5],[4, 6.6]] using print(list).
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Write the following function to sort a list of points on their y-coordinates. Each point is a list of two values for x- and y- coordinates.
# Returns a new list of points sorted on the y-coordinates
def sort(points):
For example, the points [[4, 2], [1, 7], [4, 5], [1, 2], [1, 1], [4, 1]] will be sorted
to [[1, 1], [4, 1], [1, 2], [4, 2], [4, 5], [1, 7]]. Write a test program that displays
the sorted result for points [[4, 34], [1, 7.5], [4, 8.5], [1, -4.5], [1, 4.5],
[4, 6.6]] using print(list).
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- Write a function find_max_tuple() that gets a list of tuples as parameter, finds and returns the tuple with maximum sum inside the list. Write Python statements that create a sample list that has tuples inside (you can use the list of tuples in the sample run below), then use find_max_tuple() function to get the tuple with maximum sum and print it. Sample tuples=[(3,4,360,6),(1,2),(12,),(132,244,64),(72,71,70)] The maximum tuple is (132,244,64)Write the function selection_sort_descend_trace() that takes an integer list and sorts the list into descending order. The function should use nested loops and output the list after each iteration of the outer loop, thus outputting the list N-1 times (where N is the size). Complete __main__ to read in a list of integers, and then call selection_sort_descend_trace() to sort the list. Ex: If the input is: 20 10 30 40 then the output is: 40 10 30 20 40 30 10 20 40 30 20 10 Here is original Code: # TODO: Write a selection_sort_descend_trace() function that # sorts the numbers list into descending orderdef selection_sort_descend_trace(numbers): if __name__ == "__main__":# TODO: Read in a list of integers into numbers, then call# selection_sort_descend_trace() to sort the numbersnumbers = []Write the function selection_sort_descend_trace() that takes an integer list and sorts the list into descending order. The function should use nested loops and output the list after each iteration of the outer loop, thus outputting the list N-1 times (where N is the size). Complete __main__ to read in a list of integers, and then call selection_sort_descend_trace() to sort the list. Ex: If the input is: 20 10 30 40 then the output is: 40 10 30 20 40 30 10 20 40 30 20 10 python 3 function: def selection_sort_descend_trace(numbers): if __name__ == "__main__":# TODO: Read in a list of integers into numbers, then call# selection_sort_descend_trace() to sort the numbersnumbers = [] = NB: there should be one input statement with space saparated as string, then convert string into a list
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- In main() for now: do these - one at a time, each in it's own loop (we will make functions out of them later –Declare an array RandArray with 20 integers –Assign each of the 20 values with a random value from 0 to 99 Hint: Use rand()%100 For mimir: Do not call srand at the top of main. // normally: Call srand(time(0)) at the top of main –(you need #include<cstdlib>) –Write another loop that prints the array, with index values Important: If the output values do not match mimir, please add srand(17); // inside your main function - at the top code format: #include <iostream>using namespace std; #include <cstdlib> // required for rand() int main(){ srand(17); // define a constant ARRAYSIZE that is 20 // declare randArray // set the 20 elements in randArray to be a random number between 0 and 99 // hint: use rand()%100 // print the 20 values return 0;}two_sum is a Python function that takes in a list of integers (elements) and an integer number (num) and returns True if there exist two values in elements that add up to num, otherwise, function returns False. def two_sum(elements: List[int], num: int): for i in range(len(elements)): for j in range(i + 1): if elements[i] + elements[j] == num: return True return False Study above function and answer below questions: A. What is time complexity of two_sum? B. Is it possible to improve on above algorithm performance (in terms of its asymptotic cost)? If yes, describe your algorithm, be detailed as much as possible.Write a function that gets an array as a parameter, sorts it in an ascending fashion and returns the number of elements that did not change position in the sort (they were originally in the right position). Use c code int sortASC(int* myArray, int size) if array ={ 2, 3, 1, 0, -1} after calling the function the array should become {-1, 0, 1, 2 , 3 } and the function should return 1 (only one element has not changed place in the array)