def test_set_subset_varm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_varm_val = adata.varm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.var_names)
        if (adata[:, subset_idx]).shape[1] > 2:
            break
    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.varm["o"].shape[0])), subset.var_names
    )

    assert subset.is_view
    subset.varm["o"][internal_idx] = 1
    assert not subset.is_view
    assert np.all(adata.varm["o"] == orig_varm_val)

    assert init_hash == joblib.hash(adata)
def test_question_reviewers_not_needed_if_num_suggestions_less_max(self):
        stats = suggestion_services.get_community_contribution_stats()
        stats.question_suggestion_count = 1
        stats.question_reviewer_count = 2
        config_services.set_property(
            'committer_id', 'max_number_of_suggestions_per_reviewer', 1)

        reviewers_are_needed = stats.are_question_reviewers_needed()

        self.assertFalse(reviewers_are_needed)