# -*- coding: utf-8 -*-
"""
Created on Fri Mar  1 17:41:58 2019

@author: Ham

HackerRanch Challenge: Sum and Prod

sum

The sum tool returns the sum of array elements over a given axis.

import numpy

my_array = numpy.array([ [1, 2], [3, 4] ])

print numpy.sum(my_array, axis = 0)         #Output : [4 6]
print numpy.sum(my_array, axis = 1)         #Output : [3 7]
print numpy.sum(my_array, axis = None)      #Output : 10
print numpy.sum(my_array)                   #Output : 10
By default, the axis value is None.
Therefore, it performs a sum over all the dimensions of the input array.

prod

The prod tool returns the product of array elements over a given axis.

import numpy

my_array = numpy.array([ [1, 2], [3, 4] ])

print numpy.prod(my_array, axis = 0)            #Output : [3 8]
print numpy.prod(my_array, axis = 1)            #Output : [ 2 12]
print numpy.prod(my_array, axis = None)         #Output : 24
print numpy.prod(my_array)                      #Output : 24
By default, the axis value is None.
Therefore, it performs the product over all the dimensions of the input array.

Task

You are given a 2-D array with dimensions NxM.
Your task is to perform the sum tool over axis 0
and then find the product of that result.

Input Format

The first line of input contains space separated values of N and M.
The next N lines contains M space separated integers.

Output Format

Compute the sum along axis 0.
Then, print the product of that sum.

Sample Input

2 2
1 2
3 4

Sample Output

24

Explanation

The sum along axis 0 = [4 6]
The product of this sum = 24

"""

import numpy

# ignoring 2nd int of 1st line, M
a = [list(map(int, input().strip().split()))
     for _ in range(int(input().strip().split()[0]))]
print(numpy.product(numpy.sum(a, axis=0)))
