class_docstr: Reverse the audio. Also known as time inversion. Inversion of an audio track along its time
  axis relates to the random flip of an image, which is an augmentation technique that is
  widely used in the visual domain. This can be relevant in the context of audio
  classification. It was successfully applied in the paper
  AudioCLIP: Extending CLIP to Image, Text and Audio
  https://arxiv.org/pdf/2106.13043.pdf
class_docstr_tok: ["Reverse","the","audio",".","Also","known","as","time","inversion",".","Inversion","of","an","audio","track","along","its","time","axis","relates","to","the","random","flip","of","an","image",",","which","is","an","augmentation","technique","that","is","widely","used","in","the","visual","domain",".","This","can","be","relevant","in","the","context","of","audio","classification",".","It","was","successfully","applied","in","the","paper","AudioCLIP",":","Extending","CLIP","to","Image",",","Text","and","Audio","https",":","\/\/arxiv.org\/pdf\/2106.13043.pdf"]
code: def apply(self, samples: NDArray[np.float32], sample_rate: int):
      if len(samples.shape) > 1:
          return np.fliplr(samples)
      else:
          return np.flipud(samples)
  
imports: import numpy
  from numpy.typing import NDArray
  from audiomentations.core.transforms_interface import BaseWaveformTransform
label_desc: Use image node_id 2 for calling the Reverse obj's underlying member method code with example usage: obj.apply(samples, sample_rate) and returns: np, np