code: def supported_modalities(self):
      modalities = []
      if self.cfg.text is not None:
          modalities.append(Modality.TEXT)
      if self.cfg.audio is not None:
          modalities.append(Modality.AUDIO)
      if self.cfg.image is not None:
          modalities.append(Modality.IMAGE)
  
      return modalities
  
imports: import sys
  from dataclasses import dataclass
  from typing import Optional, List
  from omegaconf import II
  from fairseq.data.iterators import GroupedEpochBatchIterator
  from fairseq.dataclass import FairseqDataclass
  from fairseq.tasks import FairseqTask, register_task
  from fairseq.tasks.audio_pretraining import AudioPretrainingConfig, AudioPretrainingTask
  from fairseq.tasks.masked_lm import MaskedLMConfig, MaskedLMTask
  from .mae_image_pretraining import MaeImagePretrainingConfig, MaeImagePretrainingTask
  from examples.data2vec.data.modality import Modality
  from fairseq.data.audio.multi_modality_dataset import MultiModalityDataset, ModalityDatasetItem
label_desc: Use image node_id 4 for calling the MultimodalPretrainingTask obj's underlying member method code with example usage: obj.supported_modalities() and returns: modalities