code: def process(self, data_batch, predictions):
      result = {"acc": 1}
      self.results.append(result)
  
imports: import os.path
  import tempfile
  from unittest import TestCase
  import torch
  import torch.nn
  from mmengine.evaluator import BaseMetric
  from mmengine.model import BaseModel
  from mmengine.optim import OptimWrapper
  from mmengine.registry import MODEL_WRAPPERS
  from mmengine.runner import Runner
  from torch.utils.data import Dataset
  from mmdet.registry import DATASETS
  from mmdet.utils import register_all_modules
label_desc: Use image node_id 2 for calling the ToyMetric1 obj's underlying member method code with example usage: obj.process(data_batch, predictions) without return types