code: def __init__(self, transforms, p: float = 1.0, shuffle: bool = False):
      self.transforms = transforms
      self.p = p
      self.shuffle = shuffle
      self.are_parameters_frozen = False
  
      name_list = []
      for transform in self.transforms:
          name_list.append(type(transform).__name__)
      self.__name__ = "_".join(name_list)
  
imports: import random
  import numpy
  from numpy.typing import NDArray
  from audiomentations.core.transforms_interface import BaseSpectrogramTransform
label_desc: Use image node_id 1 to create a new BaseCompose object  with example: obj = BaseCompose(transforms, p, shuffle)