Let's define logical OR as an operation on two logical values (i. e. values that belong to the set {0, 1}) that is equal to 1 if either or both of the logical values is set to 1, otherwise it is 0. We can define logical OR of three or more logical values in the same manner:

$a_{1} OR a_{2} OR \ldots OR a_{k}$ where $a_{i} \in {0,1 }$ is equal to 1 if some a_{i} = 1, otherwise it is equal to 0.

Nam has a matrix A consisting of m rows and n columns. The rows are numbered from 1 to m, columns are numbered from 1 to n. Element at row i (1 ≤ i ≤ m) and column j (1 ≤ j ≤ n) is denoted as A_{ij}. All elements of A are either 0 or 1. From matrix A, Nam creates another matrix B of the same size using formula:

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(B_{ij} is OR of all elements in row i and column j of matrix A)

Nam gives you matrix B and challenges you to guess matrix A. Although Nam is smart, he could probably make a mistake while calculating matrix B, since size of A can be large.

-----Input-----

The first line contains two integer m and n (1 ≤ m, n ≤ 100), number of rows and number of columns of matrices respectively.

The next m lines each contain n integers separated by spaces describing rows of matrix B (each element of B is either 0 or 1).

-----Output-----

In the first line, print "NO" if Nam has made a mistake when calculating B, otherwise print "YES". If the first line is "YES", then also print m rows consisting of n integers representing matrix A that can produce given matrix B. If there are several solutions print any one.

-----Examples-----

Input 2 2 1 0 0 0

Output NO

Input 2 3 1 1 1 1 1 1

Output YES 1 1 1 1 1 1

Input 2 3 0 1 0 1 1 1

Output YES 0 0 0 0 1 0