code: def __init__(self, name: str, expected_epochs: List[int]):
      super().__init__({}, {})
      self.name = name
      self.expected_epochs = expected_epochs
      self._log_count = 0
      self._flush_count = 0
      self._testing = False
  
imports: import unittest
  from typing import List
  import pytorch_lightning
  import torch
  import torch.nn
  import torch.optim
  from reagent.reporting import CompoundReporter, ReporterBase
  from reagent.training import MultiStageTrainer, ReAgentLightningModule
  from torch.utils.data import DataLoader, TensorDataset
label_desc: Use image node_id 1 to create a new DummyReporter object from inherited base classes: ReporterBase with example: obj = DummyReporter(name, expected_epochs)