docstr: Returns ``ProbabilityRandomDesign`` for interleaving configurations.
  
  Parameters
  ----------
  probability : float, defaults to 0.08447232371720552
      Probability that a configuration will be drawn at random.
docstr_tok: ["Returns","``","ProbabilityRandomDesign","``","for","interleaving","configurations",".","Parameters","--","--","--","--","--","probability",":","float",",","defaults","to","0.08447232371720552","Probability","that","a","configuration","will","be","drawn","at","random","."]
code: def get_random_design(  # type: ignore
      scenario: Scenario,
      *,
      probability: float = 0.08447232371720552,
  ) -> ProbabilityRandomDesign:
      """Returns ``ProbabilityRandomDesign`` for interleaving configurations.
  
      Parameters
      ----------
      probability : float, defaults to 0.08447232371720552
          Probability that a configuration will be drawn at random.
      """
      return ProbabilityRandomDesign(
          seed=scenario.seed, probability=probability
      )
  
imports: from __future__ import annotations
  import numpy
  import sklearn.gaussian_process.kernels
  from ConfigSpace import Configuration
  from smac.acquisition.function.expected_improvement import EI
  from smac.acquisition.maximizer.local_and_random_search import LocalAndSortedRandomSearch
  from smac.facade.abstract_facade import AbstractFacade
  from smac.initial_design.sobol_design import SobolInitialDesign
  from smac.intensifier.intensifier import Intensifier
  from smac.model.gaussian_process.abstract_gaussian_process import AbstractGaussianProcess
  from smac.model.gaussian_process.gaussian_process import GaussianProcess
  from smac.model.gaussian_process.kernels import ConstantKernel, HammingKernel, MaternKernel, WhiteKernel
  from smac.model.gaussian_process.mcmc_gaussian_process import MCMCGaussianProcess
  from smac.model.gaussian_process.priors import HorseshoePrior, LogNormalPrior
  from smac.multi_objective.aggregation_strategy import MeanAggregationStrategy
  from smac.random_design.probability_design import ProbabilityRandomDesign
  from smac.runhistory.encoder.encoder import RunHistoryEncoder
  from smac.scenario import Scenario
  from smac.utils.configspace import get_types
label_desc: Use image node_id 8 for calling the BlackBoxFacade obj's underlying member method code with example usage: obj.get_random_design(scenario) and returns: ProbabilityRandomDesign