redis/commands/timeseries/commands.py [748:837]:
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        self,
        from_time: Union[int, str],
        to_time: Union[int, str],
        filters: List[str],
        count: Optional[int] = None,
        aggregation_type: Optional[str] = None,
        bucket_size_msec: Optional[int] = 0,
        with_labels: Optional[bool] = False,
        filter_by_ts: Optional[List[int]] = None,
        filter_by_min_value: Optional[int] = None,
        filter_by_max_value: Optional[int] = None,
        groupby: Optional[str] = None,
        reduce: Optional[str] = None,
        select_labels: Optional[List[str]] = None,
        align: Optional[Union[int, str]] = None,
        latest: Optional[bool] = False,
        bucket_timestamp: Optional[str] = None,
        empty: Optional[bool] = False,
    ):
        """
        Query a range across multiple time-series by filters in forward direction.

        For more information see https://redis.io/commands/ts.mrange/

        Args:
            from_time:
                Start timestamp for the range query. `-` can be used to express the
                minimum possible timestamp (0).
            to_time:
                End timestamp for range query, `+` can be used to express the maximum
                possible timestamp.
            filters:
                Filter to match the time-series labels.
            count:
                Limits the number of returned samples.
            aggregation_type:
                Optional aggregation type. Can be one of [`avg`, `sum`, `min`, `max`,
                `range`, `count`, `first`, `last`, `std.p`, `std.s`, `var.p`, `var.s`,
                `twa`]
            bucket_size_msec:
                Time bucket for aggregation in milliseconds.
            with_labels:
                Include in the reply all label-value pairs representing metadata labels
                of the time series.
            filter_by_ts:
                List of timestamps to filter the result by specific timestamps.
            filter_by_min_value:
                Filter result by minimum value (must mention also
                `filter_by_max_value`).
            filter_by_max_value:
                Filter result by maximum value (must mention also
                `filter_by_min_value`).
            groupby:
                Grouping by fields the results (must mention also `reduce`).
            reduce:
                Applying reducer functions on each group. Can be one of [`avg` `sum`,
                `min`, `max`, `range`, `count`, `std.p`, `std.s`, `var.p`, `var.s`].
            select_labels:
                Include in the reply only a subset of the key-value pair labels of a
                series.
            align:
                Timestamp for alignment control for aggregation.
            latest:
                Used when a time series is a compaction, reports the compacted value of
                the latest possibly partial bucket.
            bucket_timestamp:
                Controls how bucket timestamps are reported. Can be one of [`-`, `low`,
                `+`, `high`, `~`, `mid`].
            empty:
                Reports aggregations for empty buckets.
        """
        params = self.__mrange_params(
            aggregation_type,
            bucket_size_msec,
            count,
            filters,
            from_time,
            to_time,
            with_labels,
            filter_by_ts,
            filter_by_min_value,
            filter_by_max_value,
            groupby,
            reduce,
            select_labels,
            align,
            latest,
            bucket_timestamp,
            empty,
        )
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redis/commands/timeseries/commands.py [842:931]:
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        self,
        from_time: Union[int, str],
        to_time: Union[int, str],
        filters: List[str],
        count: Optional[int] = None,
        aggregation_type: Optional[str] = None,
        bucket_size_msec: Optional[int] = 0,
        with_labels: Optional[bool] = False,
        filter_by_ts: Optional[List[int]] = None,
        filter_by_min_value: Optional[int] = None,
        filter_by_max_value: Optional[int] = None,
        groupby: Optional[str] = None,
        reduce: Optional[str] = None,
        select_labels: Optional[List[str]] = None,
        align: Optional[Union[int, str]] = None,
        latest: Optional[bool] = False,
        bucket_timestamp: Optional[str] = None,
        empty: Optional[bool] = False,
    ):
        """
        Query a range across multiple time-series by filters in reverse direction.

        For more information see https://redis.io/commands/ts.mrevrange/

        Args:
            from_time:
                Start timestamp for the range query. '-' can be used to express the
                minimum possible timestamp (0).
            to_time:
                End timestamp for range query, '+' can be used to express the maximum
                possible timestamp.
            filters:
                Filter to match the time-series labels.
            count:
                Limits the number of returned samples.
            aggregation_type:
                Optional aggregation type. Can be one of [`avg`, `sum`, `min`, `max`,
                `range`, `count`, `first`, `last`, `std.p`, `std.s`, `var.p`, `var.s`,
                `twa`].
            bucket_size_msec:
                Time bucket for aggregation in milliseconds.
            with_labels:
                Include in the reply all label-value pairs representing metadata labels
                of the time series.
            filter_by_ts:
                List of timestamps to filter the result by specific timestamps.
            filter_by_min_value:
                Filter result by minimum value (must mention also
                `filter_by_max_value`).
            filter_by_max_value:
                Filter result by maximum value (must mention also
                `filter_by_min_value`).
            groupby:
                Grouping by fields the results (must mention also `reduce`).
            reduce:
                Applying reducer functions on each group. Can be one of [`avg` `sum`,
                `min`, `max`, `range`, `count`, `std.p`, `std.s`, `var.p`, `var.s`].
            select_labels:
                Include in the reply only a subset of the key-value pair labels of a
                series.
            align:
                Timestamp for alignment control for aggregation.
            latest:
                Used when a time series is a compaction, reports the compacted value of
                the latest possibly partial bucket.
            bucket_timestamp:
                Controls how bucket timestamps are reported. Can be one of [`-`, `low`,
                `+`, `high`, `~`, `mid`].
            empty:
                Reports aggregations for empty buckets.
        """
        params = self.__mrange_params(
            aggregation_type,
            bucket_size_msec,
            count,
            filters,
            from_time,
            to_time,
            with_labels,
            filter_by_ts,
            filter_by_min_value,
            filter_by_max_value,
            groupby,
            reduce,
            select_labels,
            align,
            latest,
            bucket_timestamp,
            empty,
        )
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