def test_set_subset_obsm(adata, subset_func):
    init_hash = joblib.hash(adata)
    orig_obsm_val = adata.obsm["o"].copy()

    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

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

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

    assert init_hash == joblib.hash(adata)
def _patternrootsanddirs(kindpats):
    """Returns roots and directories corresponding to each pattern.

    This calculates the roots and directories exactly matching the patterns and
    returns a tuple of (roots, dirs) for each. It does not return other
    directories which may also need to be considered, like the parent
    directories.
    """
    r = []
    d = []
    for kind, pat, source in kindpats:
        if kind == "glob":  # find the non-glob prefix
            root = []
            for p in pat.split("/"):
                if "[" in p or "{" in p or "*" in p or "?" in p:
                    break
                root.append(p)
            r.append("/".join(root))
        elif kind in ("relpath", "path"):
            if pat == ".":
                pat = ""
            r.append(pat)
        elif kind in ("rootfilesin",):
            if pat == ".":
                pat = ""
            d.append(pat)
        else:  # relglob, re, relre
            r.append("")
    return r, d