ax/models/torch/botorch.py [378:393]:
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            )
            acquisition_function = checked_cast(
                AcquisitionFunction, acquisition_function
            )
            # pyre-ignore: [28]
            candidates, expected_acquisition_value = self.acqf_optimizer(
                acq_function=checked_cast(AcquisitionFunction, acquisition_function),
                bounds=bounds_,
                n=n,
                inequality_constraints=_to_inequality_constraints(
                    linear_constraints=linear_constraints
                ),
                fixed_features=fixed_features,
                rounding_func=botorch_rounding_func,
                **optimizer_options,
            )
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ax/models/torch/botorch_moo.py [359:374]:
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            )
            acquisition_function = checked_cast(
                AcquisitionFunction, acquisition_function
            )
            # pyre-ignore: [28]
            candidates, expected_acquisition_value = self.acqf_optimizer(
                acq_function=checked_cast(AcquisitionFunction, acquisition_function),
                bounds=bounds_,
                n=n,
                inequality_constraints=_to_inequality_constraints(
                    linear_constraints=linear_constraints
                ),
                fixed_features=fixed_features,
                rounding_func=botorch_rounding_func,
                **optimizer_options,
            )
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