Consider the following code snippet.   >>> import numpy as n…

Consider the following code snippet.   >>> import numpy as np>>> a = np.random.uniform(size=(3, 3)) >>> a array([[0.51639863, 0.57066759, 0.02847423] [0.17152166, 0.68527698, 0.83389686] [0.30696622, 0.89361308, 0.72154386]]) >>> b = np.random.uniform(size=(3, 3)) >>> b array([[0.18993895, 0.55422759, 0.35213195] [0.1818924 , 0.78560176, 0.96548322] [0.23235366, 0.08356143, 0.60354842]]) >>> XXXX >>> a array([[1. , 1. , 1. ] [1. , 0.68527698, 0.83389686] [1. , 1. , 0.72154386]]) What code could you replace with XXXX to cause the following output?