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 _convertretoglobs(repat):
    """Attempt to convert a regular expression pattern to glob patterns.

    A single regular expression pattern might be converted into multiple
    glob patterns.

    Return None if conversion is unsupported.

    >>> _convertretoglobs("abc*") is None
    True
    >>> _convertretoglobs("xx/yy/(?!zz/kk)")
    ['xx/yy/**', '!xx/yy/zz/kk/**']
    >>> _convertretoglobs("x/y/(?:.*/)?BUCK")
    ['x/y/**/BUCK']
    """
    m = _repat1.match(repat)
    if m:
        prefix, excluded = m.groups()
        return ["%s/**" % prefix, "!%s/%s/**" % (prefix, excluded)]
    m = _repat2.match(repat)
    if m:
        prefix, name = m.groups()
        return ["%s/**/%s" % (prefix, name)]
    return None