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Im wondering what needs to be fixed with my code. It keeps saying cannot contruct a dtype from an array [ 3 0 ] :

Im wondering what needs to be fixed with my code. It keeps saying "cannot contruct a dtype from an array
[30]:
import numpy as np
def operations (C,A,B :
result ={}
result ['shape']=np. shape (A)
if A. shape[1]== B. shape[0]:
result['scale']=C**A
result['sum']=A+B
result['difference']=A-B
result ['elementwise_multiplication ']=A*B
result ['matrix_multiplication']=np.matrix (A,B)
result [' transpose']=n. transpose (A)
else:
result['scale']= 'not possible'
result['sum']='not possible'
result['difference']= 'not possible'
result['elementwise_multiplication']=' not possible'
result['matrix_multiplication']='not possible'
result['transpose']=' not possible'
return result
Part 1: Matrix Operations
1.1[3 pt] Write a function called operations that takes three inputs: a real number c(a float) and two matrices A and B(numpy arrays). It should return a dictionary that has seven keyvalue pairs:
shape: the shape of A(as a tuple)
scale: A scaled by c(as a numpy array)
sum: A plus B(as a numpy array)
difference: A minus B(as a numpy array)
elementwise_multiplication: elementwise multiplication between A and B(as a numpy array)
matrix_multiplication: matrix multiplication between A and B(as a numpy array)
transpose: A transposed (as a numpy array)
If the shapes of A and B are such that a certain key's value is not mathematically possible, then make its value the string "not possible".
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