def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def _expandsubinclude(kindpats, root):
    """Returns the list of subinclude matcher args and the kindpats without the
    subincludes in it."""
    relmatchers = []
    other = []

    for kind, pat, source in kindpats:
        if kind == "subinclude":
            sourceroot = pathutil.dirname(util.normpath(source))
            pat = util.pconvert(pat)
            path = pathutil.join(sourceroot, pat)

            newroot = pathutil.dirname(path)
            matcherargs = (newroot, "", [], ["include:%s" % path])

            prefix = pathutil.canonpath(root, root, newroot)
            if prefix:
                prefix += "/"
            relmatchers.append((prefix, matcherargs))
        else:
            other.append((kind, pat, source))

    return relmatchers, other