"""

identity

The identity tool returns an identity array. An identity array is a square matrix with all the main diagonal elements as
and the rest as

. The default type of elements is float.

import numpy
print numpy.identity(3) #3 is for  dimension 3 X 3

#Output
[[ 1.  0.  0.]
 [ 0.  1.  0.]
 [ 0.  0.  1.]]

eye

The eye tool returns a 2-D array with
's as the diagonal and 's elsewhere. The diagonal can be main, upper or lower depending on the optional parameter . A positive is for the upper diagonal, a negative is for the lower, and a

(default) is for the main diagonal.

import numpy
print numpy.eye(8, 7, k = 1)    # 8 X 7 Dimensional array with first upper diagonal 1.

#Output
[[ 0.  1.  0.  0.  0.  0.  0.]
 [ 0.  0.  1.  0.  0.  0.  0.]
 [ 0.  0.  0.  1.  0.  0.  0.]
 [ 0.  0.  0.  0.  1.  0.  0.]
 [ 0.  0.  0.  0.  0.  1.  0.]
 [ 0.  0.  0.  0.  0.  0.  1.]
 [ 0.  0.  0.  0.  0.  0.  0.]
 [ 0.  0.  0.  0.  0.  0.  0.]]

print numpy.eye(8, 7, k = -2)   # 8 X 7 Dimensional array with second lower diagonal 1.

Task

Your task is to print an array of size
X with its main diagonal elements as 's and

's everywhere else.

Input Format

A single line containing the space separated values of
and .
denotes the rows.

denotes the columns.

Output Format

Print the desired
X

array.

Sample Input

3 3

Sample Output

[[ 1.  0.  0.]
 [ 0.  1.  0.]
 [ 0.  0.  1.]]
"""





import numpy
print(str(numpy.eye(*map(int,input().split())))
      .replace('1',' 1').replace('0',' 0'))











