kats/utils/time_series_parameter_tuning.py [697:732]:
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        seed: Optional[int] = None,
        random_strategy: SearchMethodEnum = SearchMethodEnum.RANDOM_SEARCH_UNIFORM,
        outcome_constraints: Optional[List[str]] = None,
        multiprocessing: bool = False,
        **kwargs,
    ) -> None:
        super().__init__(
            parameters,
            experiment_name,
            objective_name,
            outcome_constraints,
            multiprocessing,
        )
        if seed is None:
            seed = int(time.time())
            self.logger.info(
                "No seed is given by the user, it will be set by the current time"
            )
        self.logger.info("Seed that is used in random search: {seed}".format(seed=seed))
        if random_strategy == SearchMethodEnum.RANDOM_SEARCH_UNIFORM:
            self._random_strategy_model = Models.UNIFORM(
                search_space=self.get_search_space(), deduplicate=True, seed=seed
            )
        elif random_strategy == SearchMethodEnum.RANDOM_SEARCH_SOBOL:
            self._random_strategy_model = Models.SOBOL(
                search_space=self.get_search_space(), deduplicate=True, seed=seed
            )
        else:
            raise NotImplementedError(
                "Invalid random strategy selection. It should be either "
                "uniform or sobol."
            )
        self.logger.info(
            "A {random_strategy} model for candidate parameter value generation"
            " is created.".format(random_strategy=random_strategy)
        )
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kats/utils/time_series_parameter_tuning.py [795:830]:
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        seed: Optional[int] = None,
        random_strategy: SearchMethodEnum = SearchMethodEnum.RANDOM_SEARCH_UNIFORM,
        outcome_constraints: Optional[List[str]] = None,
        multiprocessing: bool = False,
        **kwargs,
    ) -> None:
        super().__init__(
            parameters,
            experiment_name,
            objective_name,
            outcome_constraints,
            multiprocessing,
        )
        if seed is None:
            seed = int(time.time())
            self.logger.info(
                "No seed is given by the user, it will be set by the current time"
            )
        self.logger.info("Seed that is used in random search: {seed}".format(seed=seed))
        if random_strategy == SearchMethodEnum.RANDOM_SEARCH_UNIFORM:
            self._random_strategy_model = Models.UNIFORM(
                search_space=self.get_search_space(), deduplicate=True, seed=seed
            )
        elif random_strategy == SearchMethodEnum.RANDOM_SEARCH_SOBOL:
            self._random_strategy_model = Models.SOBOL(
                search_space=self.get_search_space(), deduplicate=True, seed=seed
            )
        else:
            raise NotImplementedError(
                "Invalid random strategy selection. It should be either "
                "uniform or sobol."
            )
        self.logger.info(
            "A {random_strategy} model for candidate parameter value generation"
            " is created.".format(random_strategy=random_strategy)
        )
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