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 update(self, *args, **kwargs):
        chain = []
        for arg in args:
            if isinstance(arg, dict):
                iterator = arg.items()
            else:
                iterator = arg
            chain = itertools.chain(chain, iterator)
        if kwargs:
            chain = itertools.chain(chain, kwargs.items())
        for key, value in iterator:
            self._collection[key] = self._from_python(key, value)