=====Function Descriptions=====
inner
The inner tool returns the inner product of two arrays.
import numpy
A = numpy.array([0, 1])
B = numpy.array([3, 4])
print numpy.inner(A, B)     #Output : 4
outer
The outer tool returns the outer product of two arrays.
import numpy
A = numpy.array([0, 1])
B = numpy.array([3, 4])
print numpy.outer(A, B)     #Output : [[0 0]
                            #          [3 4]]
=====Problem Statement=====
You are given two arrays: A and B.
Your task is to compute their inner and outer product.
=====Input Format=====
The first line contains the space separated elements of array A.
The second line contains the space separated elements of array B.
=====Output Format=====
First, print the inner product.
Second, print the outer product.
import numpy as np

arr1 = np.array(list(map(int, input().strip().split())))
arr2 = np.array(list(map(int, input().strip().split())))

print((np.inner(arr1, arr2)))
print((np.outer(arr1, arr2)))

import numpy as np

arr1 = np.array(list(map(int, input().strip().split())))
arr2 = np.array(list(map(int, input().strip().split())))

print((np.inner(arr1, arr2)))
print((np.outer(arr1, arr2)))
