class_docstr: Creates optimizer-like instances with configuration.
  
  Parameters
  ----------
  OptimizerClass: type
      class of the optimizer to configure, or another ConfiguredOptimizer (config will then be ignored
      except for the optimizer name/representation)
  config: dict
      dictionnary of all the configurations
  as_config: bool
      whether to provide all config as kwargs to the optimizer instantiation (default, see ConfiguredCMA for an example),
      or through a config kwarg referencing self. (if True, see EvolutionStrategy for an example)
  
  Note
  ----
  This provides a default repr which can be bypassed through set_name
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code: def __init__(
      self,
      OptimizerClass: OptCls,
      config: tp.Dict[str, tp.Any],
      as_config: bool = False,
  ) -> None:
      self._OptimizerClass = OptimizerClass
      config.pop("self", None)  # self comes from "locals()"
      config.pop("__class__", None)  # self comes from "locals()"
      self._as_config = as_config
      self._config = config  # keep all, to avoid weird behavior at mismatch between optim and configoptim
      diff = ngtools.different_from_defaults(
          instance=self, instance_dict=config, check_mismatches=True
      )
      params = ", ".join(f"{x}={y!r}" for x, y in sorted(diff.items()))
      self.name = f"{self.__class__.__name__}({params})"
      if not as_config:
          # try instantiating for init checks
          # if as_config: check can be done before setting attributes
          with warnings.catch_warnings():
              warnings.filterwarnings(
                  "ignore", category=errors.InefficientSettingsWarning
              )  # this check does not need to be efficient
              self(parametrization=4, budget=100)
  
imports: import pickle
  import warnings
  from pathlib import Path
  from numbers import Real
  from collections import deque
  import numpy
  import nevergrad.common.typing
  from nevergrad.parametrization import parameter
  from nevergrad.common import tools
  from nevergrad.common import errors
  from nevergrad.common.decorators import Registry
  from .None import utils
  from .None import multiobjective
label_desc: Use image node_id 1 to create a new ConfiguredOptimizer object  with example: obj = ConfiguredOptimizer(OptimizerClass, config, as_config)