def _validate_options()

in ax/service/scheduler.py [0:0]

• 20 lines of code
• 8 McCabe index (conditional complexity)

    def _validate_options(self, options: SchedulerOptions) -> None:
        """Validates `SchedulerOptions` for compatibility with given
        `Scheduler` class.
        """
        if options.trial_type is BatchTrial:  # TODO[T61776778]: support batches
            raise NotImplementedError("Support for batched trials coming soon.")

        if not (0.0 <= options.tolerated_trial_failure_rate < 1.0):
            raise ValueError("`tolerated_trial_failure_rate` must be in [0, 1).")

        if options.early_stopping_strategy is not None:
            if not any(
                m.is_available_while_running() for m in self.experiment.metrics.values()
            ):
                raise ValueError(
                    "Can only specify an early stopping strategy if at least one "
                    "metric is marked as `is_available_while_running`. Otherwise, we "
                    "will be unable to fetch intermediate results with which to "
                    "evaluate early stopping criteria."
                )
            if self.experiment.optimization_config is not None:
                if self.experiment.optimization_config.is_moo_problem:
                    raise UnsupportedError(
                        "Early stopping is not supported on multi-objective problems."
                    )