=====Function Descriptions=====
dot
The dot tool returns the dot product of two arrays.
import numpy
A = numpy.array([ 1, 2 ])
B = numpy.array([ 3, 4 ])
print numpy.dot(A, B)       #Output : 11
cross
The cross tool returns the cross product of two arrays.
import numpy
A = numpy.array([ 1, 2 ])
B = numpy.array([ 3, 4 ])
print numpy.cross(A, B)     #Output : -2
=====Problem Statement=====
You are given two arrays A and B. Both have dimensions of NXN.
Your task is to compute their matrix product.
=====Input Format=====
The first line contains the integer N.
The next N lines contains N space separated integers of array A.
The following N lines contains N space separated integers of array B.
=====Output Format=====
Print the matrix multiplication of A and B.
import numpy as np

n = int(input().strip())
arr1 = np.array([[int(x) for x in input().strip().split()] for _ in range(n)])
arr2 = np.array([[int(x) for x in input().strip().split()] for _ in range(n)])

print(np.dot(arr1, arr2))
import numpy as np

n = int(input().strip())
arr1 = np.array([[int(x) for x in input().strip().split()] for _ in range(n)])
arr2 = np.array([[int(x) for x in input().strip().split()] for _ in range(n)])

print(np.dot(arr1, arr2))