# Array Mathematics

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#
#   Basic mathematical functions operate element-wise on arrays.
#   They are available both as operator overloads and as functions in the NumPy module.
#
#   import numpy
#   a = numpy.array([1,2,3,4], float)
#   b = numpy.array([5,6,7,8], float)
#
#   print a + b                     #[  6.   8.  10.  12.]
#   print numpy.add(a, b)           #[  6.   8.  10.  12.]
#
#   print a - b                     #[-4. -4. -4. -4.]
#   print numpy.subtract(a, b)      #[-4. -4. -4. -4.]
#
#   print a * b                     #[  5.  12.  21.  32.]
#   print numpy.multiply(a, b)      #[  5.  12.  21.  32.]
#
#   print a / b                     #[ 0.2         0.33333333  0.42857143  0.5       ]
#   print numpy.divide(a, b)        #[ 0.2         0.33333333  0.42857143  0.5       ]
#
#   print a % b                     #[ 1.  2.  3.  4.]
#   print numpy.mod(a, b)           #[ 1.  2.  3.  4.]
#
#   print a**b                      #[  1.00000000e+00   6.40000000e+01   2.18700000e+03   6.55360000e+04]
#   print numpy.power(a, b)         #[  1.00000000e+00   6.40000000e+01   2.18700000e+03   6.55360000e+04]
#
#   Task
#   You are given two arrays ( A & B) of dimensions N X M.
#   Your task is to perform the following operations:
#
#       Add (A + B)
#       Subtract (A - B)
#       Multiply (A * B)
#       Divide (A / B)
#       Mod (A % B)
#       Power (A ** B)
#
#   Input Format
#   The first line contains two space separated integers N and M.
#   The next N lines contains M space separated integers of array .
#   The following N lines contains M space separated integers of array B.
#
#   Output Format
#   Print the result of each operation in the given order under Task.
#
#   Sample Input
#   1 4
#   1 2 3 4
#   5 6 7 8
#
#   Sample Output
#   [[ 6  8 10 12]]
#   [[-4 -4 -4 -4]]
#   [[ 5 12 21 32]]
#   [[0 0 0 0]]
#   [[1 2 3 4]]
#   [[    1    64  2187 65536]]
#
#   Use // for division in Python 3.
#
#######################################################################################################################

import numpy
