Why sklearn MinMaxScaler() could return value beyond the defined range (e.g. 0 -1), and not returning an error?

Question

When I use sklearn MinMaxScaler(), I noticed some interesting behavior which shown in the following code.

>>> from sklearn.preprocessing import MinMa