class_docstr: Experiment which uses one experiment for the optimization,
  and another for the evaluation
docstr: Description of the function parameterization, as a dict. This base class implementation provides function_class,
  noise_level, transform and dimension
docstr_tok: ["Description","of","the","function","parameterization",",","as","a","dict",".","This","base","class","implementation","provides","function_class",",","noise_level",",","transform","and","dimension"]
code: def descriptors(self) -> tp.Dict[str, tp.Any]:
      """Description of the function parameterization, as a dict. This base class implementation provides function_class,
      noise_level, transform and dimension
      """
      desc = dict(self._descriptors)
      desc.update(self._experiment.descriptors)
      # TODO descriptors for the evaluation function?
      return desc
  
file_path: nevergrad/nevergrad/functions/helpers.py
imports: import os
  import nevergrad.common.typing
  from nevergrad.parametrization import parameter
  from nevergrad.optimization import multiobjective
  from .None import base
label_desc: Use image node_id 6 for calling the SpecialEvaluationExperiment obj's underlying member method code with example usage: obj.descriptors() and returns: desc