code: def _get_noise(
      self, goal_shape, always_2d=False, use_sample_rate=None
  ):
      return self.pick_sample(goal_shape, always_2d, use_sample_rate)
  
imports: from pathlib import Path
  import numpy
  from math import ceil
  from fairseq.data.audio import rand_uniform
  from fairseq.data.audio.waveform_transforms import AudioWaveformTransform, register_audio_waveform_transform
label_desc: Use image node_id 6 for calling the NoiseAugmentTransform obj's underlying member method code with example usage: obj._get_noise(goal_shape, always_2d, use_sample_rate) and returns: self