code: def __call__(self, magnitude_spectrogram):
      if not self.are_parameters_frozen:
          self.randomize_parameters(magnitude_spectrogram)
      if (
          self.parameters["should_apply"]
          and magnitude_spectrogram.shape[0] > 0
          and magnitude_spectrogram.shape[1] > 0
      ):
          if self.is_multichannel(magnitude_spectrogram):
              """
              if magnitude_spectrogram.shape[0] > magnitude_spectrogram.shape[1]:
                  warnings.warn(
                      "Multichannel audio must have channels first, not channels last"
                  )
              """
              if not self.supports_multichannel:
                  raise MultichannelAudioNotSupportedException(
                      "{} only supports mono audio, not multichannel audio".format(
                          self.__class__.__name__
                      )
                  )
          elif not self.supports_mono:
              raise MonoAudioNotSupportedException(
                  "{} only supports multichannel audio, not mono audio".format(
                      self.__class__.__name__
                  )
              )
  
          return self.apply(magnitude_spectrogram)
      return magnitude_spectrogram
  
imports: import random
  import warnings
  import numpy
  from numpy.typing import NDArray
  from audiomentations.core.utils import is_waveform_multichannel, is_spectrogram_multichannel
label_desc: Use image node_id 3 for calling the BaseSpectrogramTransform obj's underlying member method code with example usage: obj.__call__(magnitude_spectrogram) and returns: magnitude_spectrogram, self