Supervised Machine Learning: Regression and Classification week 3

Hi all!
In Supervised Machine Learning: Regression and Classification, in the week-3-practice-lab-logistic-regression, after the second example, I can’t check my implementation due to some name error in example 3, 4, and 5.
The code snippets are not allowing to be edited too. What can I do about this?
This is the output of the implementation check of example 3
NameError Traceback (most recent call last)
1 # Compute and display gradient with w and b initialized to zeros
----> 2 initial_w = np.zeros(n)
3 initial_b = 0.
5 dj_db, dj_dw = compute_gradient(X_train, y_train, initial_w, initial_b)

NameError: name ‘n’ is not defined

You have to define the values m,n as:
m,n = X.shape # X is a training data

Thank you. I had to check from exercise 1 and rerun all tests. Thank you so much