code: def setUp(self):
      logging.getLogger().setLevel(logging.DEBUG)
      env = Gym("CartPole-v0")
      norm = build_normalizer(env)
      net_builder = FullyConnected(sizes=[8], activations=["linear"])
      cartpole_scorer = net_builder.build_q_network(
          state_feature_config=None,
          state_normalization_data=norm["state"],
          output_dim=len(norm["action"].dense_normalization_parameters),
      )
      policy = Policy(
          scorer=cartpole_scorer, sampler=SoftmaxActionSampler()
      )
      agent = Agent.create_for_env(env, policy)
      self.max_steps = 3
      self.num_episodes = 6
      self.dataset = EpisodicDataset(
          env=env,
          agent=agent,
          num_episodes=self.num_episodes,
          seed=0,
          max_steps=self.max_steps,
      )
  
file_path: ReAgent/reagent/gym/tests/test_gym_datasets.py
imports: import logging
  import unittest
  from reagent.gym.agents.agent import Agent
  from reagent.gym.datasets.episodic_dataset import EpisodicDataset
  from reagent.gym.envs import Gym
  from reagent.gym.policies.policy import Policy
  from reagent.gym.policies.samplers.discrete_sampler import SoftmaxActionSampler
  from reagent.gym.utils import build_normalizer
  from reagent.net_builder.discrete_dqn.fully_connected import FullyConnected
label_desc: Use image node_id 1 for calling the TestEpisodicDataset obj's underlying member method code with example usage: obj.setUp() without return types