class_docstr: Abstract base class for colored noise
  
  This contains several noise generator that generating different colored
  noise given the desired type and the length of clip data for degrading
code: def states(self, jam):
      for _ in range(self.n_samples):
          for type_name in self.color:
              if type_name not in NOISE_TYPES:
                  raise ValueError(
                      "Incorrect color type. Color parameter must from [white, pink, brownian] and be a list strictly"
                  )
              yield dict(
                  color=type_name,
                  weight=self._rng.uniform(
                      low=self.weight_min,
                      high=self.weight_max,
                      size=None,
                  ),
              )
  
file_path: muda/muda/deformers/colorednoise.py
imports: import numpy
  import librosa
  from ..base import BaseTransformer, _get_rng
label_desc: Use image node_id 2 for calling the ColoredNoise obj's underlying member method code with example usage: obj.states(jam) without return types