def METHOD_NAME(image, seed=None, clip=True, **kwargs):
    '''Gaussian-distributed additive noise.
        seed : int, optional
            If provided, this will set the random seed before generating noise,
            for valid pseudo-random comparisons.
        clip : bool, optional
            If True (default), the output will be clipped after noise applied. 
            This is needed to maintain the proper image data range. If False, clipping
            is not applied, and the output may extend beyond the range [-1, 1].
        mean : float, optional
            Mean of random distribution.
            Default : 0.
        var : float, optional
            Variance of random distribution. 
            Note: variance = (standard deviation) ** 2. Default : 0.01
        '''
    return TestData.random_noise(image, mode='gaussian', seed=seed, clip=clip, **kwargs)