Add `sample_query_options` arg to functions without `sample_query` arg, e.g. h1x_gwss

[leehart]

How best to handle cases like this? E.g. from anoph/h1x.py

    def h1x_gwss(
        self,
        contig: base_params.contig,
        window_size: h12_params.window_size,
        cohort1_query: base_params.sample_query,
        cohort2_query: base_params.sample_query,
        analysis: hap_params.analysis = base_params.DEFAULT,
        sample_sets: Optional[base_params.sample_sets] = None,
        cohort_size: Optional[base_params.cohort_size] = h12_params.cohort_size_default,
        min_cohort_size: Optional[
            base_params.min_cohort_size
        ] = h12_params.min_cohort_size_default,
        max_cohort_size: Optional[
            base_params.max_cohort_size
        ] = h12_params.max_cohort_size_default,
        random_seed: base_params.random_seed = 42,
        chunks: base_params.chunks = base_params.native_chunks,
        inline_array: base_params.inline_array = base_params.inline_array_default,
    ) -> Tuple[np.ndarray, np.ndarray]:

    def _h1x_gwss(
        self,
        contig,
        analysis,
        window_size,
        sample_sets,
        cohort1_query,
        cohort2_query,
        cohort_size,
        min_cohort_size,
        max_cohort_size,
        random_seed,
        chunks,
        inline_array,
    ):
        # Access haplotype datasets for each cohort.
        ds1 = self.haplotypes(
            region=contig,
            analysis=analysis,
            sample_query=cohort1_query,
            sample_sets=sample_sets,
            cohort_size=cohort_size,
            min_cohort_size=min_cohort_size,
            max_cohort_size=max_cohort_size,
            random_seed=random_seed,
            chunks=chunks,
            inline_array=inline_array,
        )
        ds2 = self.haplotypes(
            region=contig,
            analysis=analysis,
            sample_query=cohort2_query,
            sample_sets=sample_sets,
            cohort_size=cohort_size,
            min_cohort_size=min_cohort_size,
            max_cohort_size=max_cohort_size,
            random_seed=random_seed,
            chunks=chunks,
            inline_array=inline_array,
        )

E.g. we could add support for

        cohort1_query_options: base_params.sample_query_options,
        cohort2_query_options: base_params.sample_query_options,

Or just one shared set of options, e.g.

        sample_query_options: base_params.sample_query_options,

In this case, haplotypes() already supports sample_query_options.

[alimanfoo]

Or just one shared set of options, e.g.

        sample_query_options: base_params.sample_query_options,

This seems a good approach to me.