code: def conformant_gp(
      seed: tp.Optional[int] = None,
  ) -> tp.Iterator[Experiment]:
      """GP benchmark.
  
      Counterpart of ng_full_gym with a specific, reduced list of problems for matching
      a genetic programming benchmark."""
      return ng_full_gym(seed, conformant=True, gp=True)
  
imports: import os
  import typing
  from nevergrad.functions import gym
  from .xpbase import registry
  from .xpbase import create_seed_generator
  from .xpbase import Experiment
  from .optgroups import get_optimizers
label_desc: Use image node_id 9 for calling a global function with example usage: conformant_gp(seed) and returns: ng_full_gym