numpy_sum_prod.py

"""

Problem Statement

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

"""

import numpy
k = map(int,raw_input().split())
n = [ map(int,raw_input().split()) for _ in xrange(k[0])]
a = numpy.array(n)
s = numpy.sum(a,axis=0)
print numpy.prod(s,axis=0)