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The *zeros* tool returns a new array with a given shape and type filled with '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]]
```

The *ones* tool returns a new array with a given shape and type filled with '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]]
```

**Task**

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**

**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.