'''
shape

The shape tool gives a tuple of array dimensions and can be used to change the dimensions of an array.

(a). Using shape to get array dimensions

import numpy

my__1D_array = numpy.array([1, 2, 3, 4, 5])
print my_1D_array.shape     #(5,) -> 5 rows and 0 columns

my__2D_array = numpy.array([[1, 2],[3, 4],[6,5]])
print my_2D_array.shape     #(3, 2) -> 3 rows and 2 columns 
(b). Using shape to change array dimensions

import numpy

change_array = numpy.array([1,2,3,4,5,6])
change_array.shape = (3, 2)
print change_array      

#Output
[[1 2]
[3 4]
[5 6]]
reshape

The reshape tool gives a new shape to an array without changing its data. It creates a new array and does not modify the original array itself.

import numpy

my_array = numpy.array([1,2,3,4,5,6])
print numpy.reshape(my_array,(3,2))

#Output
[[1 2]
[3 4]
[5 6]]
Task

You are given a space separated list of nine integers. Your task is to convert this list into a X NumPy array.

Input Format

A single line of input containing  space separated integers.

Output Format

Print the X NumPy array.

Sample Input

1 2 3 4 5 6 7 8 9
Sample Output

[[1 2 3]
 [4 5 6]
 [7 8 9]]
'''

import numpy as np

ip = input().strip().split(' ')
x = np.array(ip)
x = x.astype(np.int32)
x = x.reshape(3,3)
print(x)

#print(ip)


