code: def conformant_ng_full_gym(
      seed: tp.Optional[int] = None,
  ) -> tp.Iterator[Experiment]:
      """Counterpart of ng_full_gym with fixed, predetermined actions for each time step.
  
      This is conformant: we optimize directly the actions for a given context.
      This does not prevent stochasticity, but actions do not depend on observationos.
      """
      return ng_full_gym(seed, conformant=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 6 for calling a global function with example usage: conformant_ng_full_gym(seed) and returns: ng_full_gym