def __init__(self, aug_lists):
        """
        Args:
            aug_lists (list): list of augmentors, or list of (augmentor, probability) tuples
        """
        if isinstance(aug_lists[0], (tuple, list)):
            prob = [k[1] for k in aug_lists]
            aug_lists = [k[0] for k in aug_lists]
            self._init(locals())
        else:
            prob = [1.0 / len(aug_lists)] * len(aug_lists)
            self._init(locals())
        super(RandomChooseAug, self).__init__()

        Args:
            aug_lists (list): list of augmentors, or list of (augmentor, probability) tuples
        
tensorpack/dataflow/imgaug/meta.py