Construct a sparse matrix, P, corresponding to the state-transition matrix PP. Use SciPy's scipy. sparse. coo_matrix() function to construct this matrix. The dimension of the matrix should be n_airports by n_airports. If an airport does not have any outgoing segments in the data, it should appear as a row of zeroes. Note 0: You are asked to construct the matrix PP as explained in the accompanying videos. Later, when you apply this matrix, you will apply PTPT (e. g., P. T in Scipy if P is the Scipy sparse matrix object). Note 1: The calling convention for coo_matrix() can be a bit confusing. Pay careful attention to the documentation.

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Consider the following function main: int main() { int alpha[20]; int beta[20]; int matrix[10][4]; . . } a. write the definition of the function inputarray that prompts the user to input 20 numbers and stores the numbers into alpha. b. write the definition of the function doublearray that initializes the elements of beta to two times the corresponding elements in alpha. make sure that you prevent the function from modifying the elements of alpha. c. write the definition of the function copyalphabeta that stores alpha into the first five rows of matrix and beta into the last five rows of matrix. make sure that you prevent the function from modifying the elements of alpha and beta. d. write the definition of the function printarray that prints any onedimensional array of type int. print 15 elements per line. e. write a c11 program that tests the function main and the functions discussed in parts a through d. (add additional functions, such as printing a two-dimensional array, as needed.)

Technician a says that with self-adjusting clutch systems, the release bearing constantly rotates. technician b says that the ball bearing portion of the release bearing should be lubricated with high-temperature grease during routine maintenance. which technician is correct?