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 __init__(self, *args, **kwargs):
        # If True, avoid entering subdirectories, and match everything recursively,
        # unconditionally.
        self.matchrecursive = False
        # If True, avoid entering subdirectories, and return "unsure" for
        # everything. This is set to True when complex re patterns (potentially
        # including "/") are used.
        self.unsurerecursive = False
        # Patterns for matching paths in this directory.
        self._kindpats = []
        # Glob patterns used to match parent directories of another glob
        # pattern.
        self._globdirpats = []
        super(_tree, self).__init__(*args, **kwargs)