def asymmetry(spectrogram_L, spectrogram_R):
    """
  returns (spectogram_L - spectrogram_R) / (spectogram_L + spectrogram_R)

  The asymmetry measure should be used for both polarizations recorded for a particular observation.

  On can then perform analysis such as integrating the returned spectrogram to determine if the
  asymmetry of the signals are close to zero, indicating equal signal in both polarizations, or
  close to +-1, indicating a strong asymmetry in the L or R polarization.

  spectrogram_L and spectrogram_R should be Numpy arrays.
  """
    return (spectrogram_L - spectrogram_R) / (spectrogram_L + spectrogram_R)
