code: def __init__(self, **opt_params):
      super().__init__(**opt_params)
      self.optimizer_class = _PatternSearch
  
imports: from .hyper_optimizer import HyperOptimizer
  from gradient_free_optimizers import HillClimbingOptimizer, StochasticHillClimbingOptimizer, RepulsingHillClimbingOptimizer, SimulatedAnnealingOptimizer, DownhillSimplexOptimizer, RandomSearchOptimizer, GridSearchOptimizer, RandomRestartHillClimbingOptimizer, RandomAnnealingOptimizer, PowellsMethod, PatternSearch, ParallelTemperingOptimizer, ParticleSwarmOptimizer, SpiralOptimization, EvolutionStrategyOptimizer, BayesianOptimizer, LipschitzOptimizer, DirectAlgorithm, TreeStructuredParzenEstimators, ForestOptimizer, EnsembleOptimizer
label_desc: Use image node_id 1 to create a new PatternSearch object from inherited base classes: HyperOptimizer with example: obj = PatternSearch()