code: def test_behavioral_cloning_v0(self):
      NUM_TRAIN_BATCH, NUM_EVAL_BATCH = 200, 200
      train_dataloader, eval_dataloader = create_synthetic_data(
          num_batches_train=NUM_TRAIN_BATCH,
          num_batches_eval=NUM_EVAL_BATCH,
      )
      bc_trainer = train_bc_model(
          train_dataloader=train_dataloader, num_epochs=4
      )
      eval_loss = eval_bc_model(
          eval_dataloader=eval_dataloader, bc_trainer=bc_trainer
      )
      logger.info(f"eval_loss={eval_loss}")
      assert abs(eval_loss) < 0.1
  
imports: import logging
  import unittest
  from enum import Enum
  import pytorch_lightning
  import torch
  from pytorch_lightning import seed_everything
  from reagent.core import types
  from reagent.models.dqn import FullyConnectedDQN
  from reagent.optimizer.union import classes, Optimizer__Union
  from reagent.training.behavioral_cloning_trainer import BehavioralCloningTrainer
  from torch.utils.data import DataLoader
label_desc: Use image node_id 2 for calling the TestBehavioralCloning obj's underlying member method code with example usage: obj.test_behavioral_cloning_v0() without return types