# -*- coding: utf-8 -*-
"""
Created on Wed Mar  6 21:47:41 2019

@author: Ham

HackerRanch Challenge: Shape and Reshape

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 3x3 NumPy array.

Input Format

A single line of input containing 9 space separated integers.

Output Format

Print the 3x3 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

#arr = numpy.array(list(map(int, input().strip().split())))
print(numpy.reshape(numpy.array(list(map(int, input().strip().split()))), (3, 3)))
