class_docstr: Resample signal using librosa.core.resample
  
  To do downsampling only set both minimum and maximum sampling rate lower than
  original sampling rate and vice versa to do upsampling only.
code: def randomize_parameters(
      self, samples: NDArray[np.float32], sample_rate: int
  ):
      super().randomize_parameters(samples, sample_rate)
      if self.parameters["should_apply"]:
          self.parameters["target_sample_rate"] = random.randint(
              self.min_sample_rate, self.max_sample_rate
          )
  
file_path: audiomentations/audiomentations/augmentations/resample.py
imports: import random
  import librosa
  import numpy
  from numpy.typing import NDArray
  from audiomentations.core.transforms_interface import BaseWaveformTransform
label_desc: Use image node_id 2 for calling the Resample obj's underlying member method code with example usage: obj.randomize_parameters(samples, sample_rate) without return types