code: def __init__(
      self,
      samples_path: str,
      snr_min: float = SNR_MIN,
      snr_max: float = SNR_MAX,
      rate: float = RATE,
      noise_rate: float = NOISE_RATE,  # noises per second
      noise_len_mean: float = NOISE_LEN_MEAN,  # length of noises in seconds
      noise_len_std: float = NOISE_LEN_STD,
  ):
      super().__init__(samples_path, snr_min, snr_max, rate)
      self.noise_rate = noise_rate
      self.noise_len_mean = noise_len_mean
      self.noise_len_std = noise_len_std
  
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 2 to create a new SporadicNoiseAugmentTransform object from inherited base classes: NoiseAugmentTransform with example: obj = SporadicNoiseAugmentTransform(samples_path, snr_min, snr_max, rate, noise_rate, noise_len_mean, noise_len_std)