spotify_confidence/analysis/frequentist/confidence_computers/confidence_computer.py [184:200]:
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        self._sufficient = None

    def compute_summary(self, verbose: bool) -> DataFrame:
        return (
            self._sufficient_statistics
            if verbose
            else self._sufficient_statistics[
                self._all_group_columns
                + ([self._metric_column] if self._metric_column is not None and self._single_metric else [])
                + [c for c in [self._numerator, self._denominator] if c is not None]
                + [POINT_ESTIMATE, CI_LOWER, CI_UPPER]
            ]
        )

    @property
    def _sufficient_statistics(self) -> DataFrame:
        if self._sufficient is None:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



spotify_confidence/analysis/frequentist/confidence_computers/sample_size_computer.py [125:141]:
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        self._sufficient = None

    def compute_summary(self, verbose: bool) -> DataFrame:
        return (
            self._sufficient_statistics
            if verbose
            else self._sufficient_statistics[
                self._all_group_columns
                + ([self._metric_column] if self._metric_column is not None and self._single_metric else [])
                + [c for c in [self._numerator, self._denominator] if c is not None]
                + [POINT_ESTIMATE, CI_LOWER, CI_UPPER]
            ]
        )

    @property
    def _sufficient_statistics(self) -> DataFrame:
        if self._sufficient is None:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -