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 step_impl(context, user_names_str):
    if not hasattr(context, 'users'):
        context.users = {}

    user_names = [name.strip() for name in re.split('and|,', user_names_str)]
    for user_name in user_names:
        token = 'fake_token_' + user_name
        user_id = context.helpers.create_test_user(user_name, token)
        context.users[user_name] = {'token': token, 'id': user_id}