Loss function for the LogisticRegressionGD (Ch. 3)

[eliloz]

In the code for calculating the loss for the LogisticRegressionGD, I noticed that the division by X.shape[0] is being applied only to the second term and not the whole equation:
loss = -y.dot(np.log(output)) - ((1 - y).dot(np.log(1 - output))) / X.shape[0]

Shouldn't this be loss = ( -y.dot(np.log(output)) - ((1 - y).dot(np.log(1 - output))) ) / X.shape[0] ?

Thanks!