How many fits are generated from the n_estimators in the given code snippet? {'n_estimators': [20,50, 100, 200, 250, 300, 350,400]} (estimator=BaggingClassifier(), pargrid_bagging gscv_bagging GridSearchCV = gscv_results = gscv_bagging.fit(train_X, train_y) Select the correct option. A. 5 B. 40 C. 35 D. 8 param_grid=pargrid_bagging, cv=5, verbose=1, n_jobs=-1)

Complete the docstring using the information attached (images):def upgrade_stations(threshold: int, num_bikes: int,                     stations: List["Station"]) -> int:    """Modify each station in stations that has a capacity that is less than    threshold by adding num_bikes to the capacity and bikes available counts.    Modify each station at most once.     Return the total number of bikes that were added to the bike share network.     Precondition: num_bikes >= 0     >>> handout_copy = [HANDOUT_STATIONS[0][:], HANDOUT_STATIONS[1][:]]    >>> upgrade_stations(25, 5, handout_copy)    5    >>> handout_copy[0] == HANDOUT_STATIONS[0]    True    >>> handout_copy[1] == [7001, 'Lower Jarvis St SMART / The Esplanade', \                            43.647992, -79.370907, 20, 10, 10]    True    """