ax/modelbridge/factory.py [145:169]:
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        }
    else:
        # Set transforms for a Single-type MTGP model.
        transforms = ST_MTGP_trans
        transform_configs = None

    # Choose the status quo features for the experiment from the selected trial.
    # If trial_index is None, we will look for a status quo from the last
    # experiment trial to use as a status quo for the experiment.
    if trial_index is None:
        trial_index = len(experiment.trials) - 1
    elif trial_index >= len(experiment.trials):
        raise ValueError("trial_index is bigger than the number of experiment trials")

    # pyre-fixme[16]: `ax.core.base_trial.BaseTrial` has no attribute `status_quo`.
    status_quo = experiment.trials[trial_index].status_quo
    if status_quo is None:
        status_quo_features = None
    else:
        status_quo_features = ObservationFeatures(
            parameters=status_quo.parameters,
            # pyre-fixme[6]: Expected `Optional[numpy.int64]` for 2nd param but got
            #  `int`.
            trial_index=trial_index,
        )
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ax/modelbridge/factory.py [364:388]:
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        }
    else:
        # Set transforms for a Single-type MTGP model.
        transforms = ST_MTGP_trans
        transform_configs = None

    # Choose the status quo features for the experiment from the selected trial.
    # If trial_index is None, we will look for a status quo from the last
    # experiment trial to use as a status quo for the experiment.
    if trial_index is None:
        trial_index = len(experiment.trials) - 1
    elif trial_index >= len(experiment.trials):
        raise ValueError("trial_index is bigger than the number of experiment trials")

    # pyre-fixme[16]: `ax.core.base_trial.BaseTrial` has no attribute `status_quo`.
    status_quo = experiment.trials[trial_index].status_quo
    if status_quo is None:
        status_quo_features = None
    else:
        status_quo_features = ObservationFeatures(
            parameters=status_quo.parameters,
            # pyre-fixme[6]: Expected `Optional[numpy.int64]` for 2nd param but got
            #  `int`.
            trial_index=trial_index,
        )
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