# Array Mathematics Python

### Problem Statement :

```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]

You are given two integer arrays, A and B of dimensions N X M.

Subtract ( A-B )
Multiply ( A*B )
Integer Division (A /B )
Mod (A %B )
Power ( A**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 M.
The next N lines contains M space separated integers of array A.
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.```

### Solution :

```                            ```Solution in C :

import numpy as np

n,m=map(int,input().split())
a=np.empty(shape=(n,m),dtype=int)
b=np.empty(shape=(n,m),dtype=int)
for i in range(n):
a[i]=input().split()
for i in range(n):
b[i]=input().split()
print(np.subtract(a,b))
print(np.multiply(a,b))
print(a//b)
print(np.mod(a,b))
print(np.power(a,b))```
```

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