augly/text/transforms.py [295:325]:
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    def __init__(
        self,
        granularity: str = "all",
        cadence: float = 1.0,
        vary_chars: bool = False,
        p: float = 1.0,
    ):
        """
        @param granularity: 'all' or 'word' -- if 'word', a new char is picked and
            the cadence resets for each word in the text

        @param cadence: how frequent (i.e. between this many characters) to insert
            a punctuation character. Must be at least 1.0. Non-integer values are used
            as an 'average' cadence

        @param vary_chars: if true, picks a different punctuation char each time one is
            used instead of just one per word/text

        @param p: the probability of the transform being applied; default value is 1.0
        """
        super().__init__(p)
        self.granularity = granularity
        self.cadence = cadence
        self.vary_chars = vary_chars

    def apply_transform(
        self,
        texts: Union[str, List[str]],
        metadata: Optional[List[Dict[str, Any]]] = None,
        **aug_kwargs,
    ) -> List[str]:
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augly/text/transforms.py [393:423]:
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    def __init__(
        self,
        granularity: str = "all",
        cadence: float = 1.0,
        vary_chars: bool = False,
        p: float = 1.0,
    ):
        """
        @param granularity: 'all' or 'word' -- if 'word', a new char is picked
            and the cadence resets for each word in the text

        @param cadence: how frequent (i.e. between this many characters) to insert
            a zero-width character. Must be at least 1.0. Non-integer values are used
            as an 'average' cadence

        @param vary_chars: If true, picks a different zero-width char each time one is
            used instead of just one per word/text

        @param p: the probability of the transform being applied; default value is 1.0
        """
        super().__init__(p)
        self.granularity = granularity
        self.cadence = cadence
        self.vary_chars = vary_chars

    def apply_transform(
        self,
        texts: Union[str, List[str]],
        metadata: Optional[List[Dict[str, Any]]] = None,
        **aug_kwargs,
    ) -> List[str]:
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