Two or more arrays can be concatenated together using the *concatenate* function with a
tuple of the arrays to be joined:

```
import numpy
array_1 = numpy.array([1,2,3])
array_2 = numpy.array([4,5,6])
array_3 = numpy.array([7,8,9])
print numpy.concatenate((array_1, array_2, array_3))
#Output
[1 2 3 4 5 6 7 8 9]
```

If an array has more than one dimension, it is possible to specify the axis along which multiple arrays are concatenated. By default, it is along the first dimension.

```
import numpy
array_1 = numpy.array([[1,2,3],[0,0,0]])
array_2 = numpy.array([[0,0,0],[7,8,9]])
print numpy.concatenate((array_1, array_2), axis = 1)
#Output
[[1 2 3 0 0 0]
[0 0 0 7 8 9]]
```

**Task**

You are given two integer arrays of size X and X ( & are rows, and is the column). Your task is to *concatenate* the arrays along axis .

**Input Format**

The first line contains space separated integers , and .

The next lines contains the space separated elements of the columns.

After that, the next lines contains the space separated elements of the columns.

**Output Format**

Print the concatenated array of size X.

**Sample Input**

```
4 3 2
1 2
1 2
1 2
1 2
3 4
3 4
3 4
```

**Sample Output**

```
[[1 2]
[1 2]
[1 2]
[1 2]
[3 4]
[3 4]
[3 4]]
```