**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] Task: You are given two integer arrays, A and B of dimensions N X M. Your task is to perform the following operations: Add ( A+B ) 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.add(a,b))
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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