class_docstr: The ``AudioClassificationData`` class is a :class:`~flash.core.data.data_module.DataModule` with a set of class
  methods for loading data for audio classification.
code: def configure_data_fetcher(*args, **kwargs) -> BaseDataFetcher:
      return MatplotlibVisualization(*args, **kwargs)
  
imports: from typing import Any, Callable, Collection, Dict, List, Optional, Sequence, Type, Union
  import numpy
  import pandas
  from torch import Tensor
  from flash.audio.classification.input import AudioClassificationCSVInput, AudioClassificationDataFrameInput, AudioClassificationFilesInput, AudioClassificationFolderInput, AudioClassificationNumpyInput, AudioClassificationTensorInput
  from flash.audio.classification.input_transform import AudioClassificationInputTransform
  from flash.core.data.callback import BaseDataFetcher
  from flash.core.data.data_module import DataModule
  from flash.core.data.io.input import Input
  from flash.core.data.io.input_transform import INPUT_TRANSFORM_TYPE
  from flash.core.data.utilities.classification import TargetFormatter
  from flash.core.data.utilities.paths import PATH_TYPE
  from flash.core.utilities.imports import _TOPIC_AUDIO_AVAILABLE, _TOPIC_IMAGE_AVAILABLE
  from flash.core.utilities.stages import RunningStage
  from flash.image.classification.data import MatplotlibVisualization
label_desc: Use image node_id 8 for calling the AudioClassificationData obj's underlying member method code with example usage: obj.configure_data_fetcher() and returns: MatplotlibVisualization