=====Function Descriptions=====
zeros
The zeros tool returns a new array with a given shape and type filled with 0's.
import numpy
print numpy.zeros((1,2))                    #Default type is float
#Output : [[ 0.  0.]] 
print numpy.zeros((1,2), dtype = numpy.int) #Type changes to int
#Output : [[0 0]]
ones
The ones tool returns a new array with a given shape and type filled with 1's.
import numpy
print numpy.ones((1,2))                    #Default type is float
#Output : [[ 1.  1.]] 
print numpy.ones((1,2), dtype = numpy.int) #Type changes to int
#Output : [[1 1]]   
=====Problem Statement=====
You are given the shape of the array in the form of space-separated integers, each integer representing the size of different dimensions, your task is to print an array of the given shape and integer type using the tools numpy.zeros and numpy.ones.
=====Input Format=====
A single line containing the space-separated integers.
=====Constraints=====
1≤each integer≤3
=====Output Format=====
First, print the array using the numpy.zeros tool and then print the array with the numpy.ones tool.
import numpy
dims = [int(x) for x in input().strip().split()]

print(numpy.zeros(tuple(dims), dtype = numpy.int))
print(numpy.ones(tuple(dims), dtype = numpy.int))
import numpy
dims = [int(x) for x in input().strip().split()]

print(numpy.zeros(tuple(dims), dtype = numpy.int))
print(numpy.ones(tuple(dims), dtype = numpy.int))