Compute the index in `dates` where the split-adjusted-asof-date
        falls. This is the date up to which, and including which, we will
        need to unapply all adjustments for and then re-apply them as they
        come in. After this date, adjustments are applied as normal.

        Parameters
        ----------
        dates : pd.DatetimeIndex
            The calendar dates over which the Pipeline is being computed.

        Returns
        -------
        split_adjusted_asof_idx : int
            The index in `dates` at which the data should be split.

def get_split_adjusted_asof_idx(self, dates):
        """
        Compute the index in `dates` where the split-adjusted-asof-date
        falls. This is the date up to which, and including which, we will
        need to unapply all adjustments for and then re-apply them as they
        come in. After this date, adjustments are applied as normal.

        Parameters
        ----------
        dates : pd.DatetimeIndex
            The calendar dates over which the Pipeline is being computed.

        Returns
        -------
        split_adjusted_asof_idx : int
            The index in `dates` at which the data should be split.
        """
        split_adjusted_asof_idx = dates.searchsorted(
            self._split_adjusted_asof
        )
        # The split-asof date is after the date index.
        if split_adjusted_asof_idx == len(dates):
            split_adjusted_asof_idx = len(dates) - 1
        elif self._split_adjusted_asof < dates[0].tz_localize(None):
            split_adjusted_asof_idx = -1
        return split_adjusted_asof_idx