# Sum and Prod

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#
#   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 N X M.
#   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 = [46]
#   The product of this sum = 24
#
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import numpy
