class_docstr: Implementation of SMAC's local search.
  
  Parameters
  ----------
  configspace : ConfigurationSpace
  acquisition_function : AbstractAcquisitionFunction
  challengers : int, defaults to 5000
      Number of challengers.
  max_steps: int | None, defaults to None
      Maximum number of iterations that the local search will perform.
  n_steps_plateau_walk: int, defaults to 10
      Number of steps during a plateau walk before local search terminates.
  vectorization_min_obtain : int, defaults to 2
      Minimal number of neighbors to obtain at once for each local search for vectorized calls. Can be tuned to
      reduce the overhead of SMAC.
  vectorization_max_obtain : int, defaults to 64
      Maximal number of neighbors to obtain at once for each local search for vectorized calls. Can be tuned to
      reduce the overhead of SMAC.
  seed : int, defaults to 0
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code: def meta(self) -> dict[str, Any]:  # noqa: D102
      meta = super().meta
      meta.update(
          {
              "max_steps": self._max_steps,
              "n_steps_plateau_walk": self._n_steps_plateau_walk,
              "vectorization_min_obtain": self._vectorization_min_obtain,
              "vectorization_max_obtain": self._vectorization_max_obtain,
          }
      )
  
      return meta
  
file_path: SMAC3/smac/acquisition/maximizer/local_search.py
imports: from __future__ import annotations
  from typing import Any
  import itertools
  import time
  import numpy
  from ConfigSpace import Configuration, ConfigurationSpace
  from ConfigSpace.exceptions import ForbiddenValueError
  from smac.acquisition.function import AbstractAcquisitionFunction
  from smac.acquisition.maximizer.abstract_acqusition_maximizer import AbstractAcquisitionMaximizer
  from smac.utils.configspace import convert_configurations_to_array, get_one_exchange_neighbourhood
  from smac.utils.logging import get_logger
label_desc: Use image node_id 2 for calling the LocalSearch obj's underlying member method code with example usage: obj.meta() and returns: meta