def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
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