code: def __init__(
      self,
      world_size: int,
      rec_tasks: List[RecTaskInfo],
  ) -> None:
      super().__init__(
          world_size,
          rec_tasks,
          compute_lifetime_metric=False,
          local_compute_lifetime_metric=False,
      )
  
imports: import unittest
  from typing import Dict, Iterable, List, Optional, Type, Union
  import torch
  from torch import no_grad
  from torchrec.metrics.auc import AUCMetric
  from torchrec.metrics.metrics_config import DefaultTaskInfo
  from torchrec.metrics.rec_metric import RecComputeMode, RecMetric, RecMetricException, RecTaskInfo
  from torchrec.metrics.test_utils import metric_test_helper, rec_metric_value_test_launcher, TestMetric
label_desc: Use image node_id 1 to create a new TestAUCMetric object from inherited base classes: TestMetric with example: obj = TestAUCMetric(world_size, rec_tasks)