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 integer arrays, $\mbox{A}$ and $\mbox{B}$ of dimensions $N$X$\mbox{M}$.

Your task is to perform the following operations:

Add ($\mbox{A}$ + $\mbox{B}$)
Subtract ($\mbox{A}$ - $\mbox{B}$)
Multiply ($\mbox{A}$ * $\mbox{B}$)
Integer Division ($\mbox{A}$ / $\mbox{B}$)
Mod ($\mbox{A}$ % $\mbox{B}$)
Power ($\mbox{A}$ ** $\mbox{B}$)

Note

There is a method numpy.floor_divide() that works like numpy.divide() except it performs a floor division.

Input Format

The first line contains two space separated integers, $N$ and $\mbox{M}$.

The next $N$ lines contains $\mbox{M}$ space separated integers of array $\mbox{A}$.

The following $N$ lines contains $\mbox{M}$ space separated integers of array $\mbox{B}$.

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.

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