Why does Jaccard similarity score is the same as accuarcy score in binary classification?

In sklearn document (https://scikit-learn.org/0.15/modules/generated/sklearn.metrics.jaccard_similarity_score.html), it said:

In binary and multiclass classification, this function is equivalent to the accuracy_score. It differs in the multilabel classification problem.

However, according to the Jaccard index on Wikipedia (https://en.wikipedia.org/wiki/Jaccard_index)

It clearly differs from the accuracy score ((TP+TN)/(TP+FP+FN+TN)).

Might someone explain me that's which is correct, and why?