code: def get_default_score_fns(num_weights):
      return [make_default_score_fn(i) for i in range(num_weights)]
  
imports: import logging
  from collections import OrderedDict
  from typing import Callable, Dict, List
  import gym
  import numpy
  import reagent.core.types
  import torch
  from reagent.core.dataclasses import dataclass
  from reagent.gym.envs import RecSim
  from reagent.gym.preprocessors.default_preprocessors import RecsimObsPreprocessor
  from scipy import stats
label_desc: Use image node_id 2 for calling a global function with example usage: get_default_score_fns(num_weights) and returns: unknown