In the following, the phrase "random value" is to be taken to mean a uniform random floatingpoint number between 0 and 1, to be obtained by an appropriate call to the random number generator (not chosen arbitrarily by hand). Write a SINGLE statement (in each case) to implement each of the following tasks (apart from the initial import and setting up of the random number generator at the very beginning, if needed). Vectorized operation (and broadcasting) must be used; do not use loops or if statements. Please show the six statements along with the corresponding execution results in six consecutive cells (do not change the order of the parts). a. Create a 2-dimensional numpy array X (3 rows and 4 columns) of random values. b. To each column of X, add the square of a vector of three random values (the same vector is added to the individual columns of X; this vector is part of the single statement and does not have its own name). Call the result Z. c. Divide each row of Z by the max element in that row. Call the result P. d. Next, for each element of P, replace it with 0.3 if it is less than 0.5. e. Print True if the index of the column with the highest column-sum in P is the same as the index of the row with the smallest row-sum, False otherwise. f. Print in reverse the array of the column-wise minimum values of P.