sklearn.accuracy_score(y_test, y_predict) vs np.mean(y_predict == y_test)

Question

What is the difference between these two methods for finding model accuracy?

I have used both methods in python3 and i normally get identical results. However in few cases i get completely different results, so I am trying to figure out the possible reason for this.