## Algorithm

Problem Name: Python - Zeros and Ones

In this HackerRank Functions in PYTHON problem solution,

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]]
``````

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.

Sample Input 0

```3 3 3
```

Sample Output 0

```[[[0 0 0]
[0 0 0]
[0 0 0]]

[[0 0 0]
[0 0 0]
[0 0 0]]

[[0 0 0]
[0 0 0]
[0 0 0]]]
[[[1 1 1]
[1 1 1]
[1 1 1]]

[[1 1 1]
[1 1 1]
[1 1 1]]

[[1 1 1]
[1 1 1]
[1 1 1]]]
```

Explanation 0

Print the array built using `numpy.zeros` and `numpy.ones` tools and you get the result as shown.

## Code Examples

### #1 Code Example with Python Programming

```Code - Python Programming```

``````
import numpy as np

n = tuple(map(int,input().split()))

a = np.zeros(n,int)

b = np.ones(n,int)

print(a)

print(b)
``````
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