code: def __init__(self):
      super().__init__()
      self.model = DummyModel()
      self.task = "segmentation"
      self.mode = "full"
      self.callbacks = []
  
imports: from itertools import chain
  from pathlib import Path
  from collections import OrderedDict
  import pytest
  import pytorch_lightning
  from omegaconf import OmegaConf
  import torch
  from anomalib.models.components import AnomalyModule
  from anomalib.utils.callbacks.metrics_configuration import MetricsConfigurationCallback
  from anomalib.utils.metrics.collection import AnomalibMetricCollection
  from tests.helpers.dummy import DummyDataModule, DummyLogger, DummyModel
label_desc: Use image node_id 1 to create a new _DummyAnomalyModule object from inherited base classes: AnomalyModule with example: obj = _DummyAnomalyModule()