"""
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]]
Task

You are given two arrays:  and .
Your task is to compute their inner and outer product.

Input Format

The first line contains the space separated elements of array .
The second line contains the space separated elements of array .

Output Format

First, print the inner product.
Second, print the outer product.

Sample Input

0 1
2 3
Sample Output

3
[[0 0]
 [2 3]]
"""

import numpy as np

np.set_printoptions(legacy="1.13")

arr1 = np.array(list(map(int, input().split())), int)
arr2 = np.array(list(map(int, input().split())), int)
print(np.inner(arr1, arr2))
print(np.outer(arr1, arr2))
