code: def gym_problem_modifier(specific_problem):
      specific_problem = os.environ.get(
          "TARGET_GYM_ENV", specific_problem
      )
      print("problem=", specific_problem)
      return specific_problem
  
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 1 for calling a global function with example usage: gym_problem_modifier(specific_problem) and returns: specific_problem