def test_negative_scalar_index(adata, index: int, obs: bool):
    pos_index = index + (adata.n_obs if obs else adata.n_vars)

    if obs:
        adata_pos_subset = adata[pos_index]
        adata_neg_subset = adata[index]
    else:
        adata_pos_subset = adata[:, pos_index]
        adata_neg_subset = adata[:, index]

    np.testing.assert_array_equal(
        adata_pos_subset.obs_names, adata_neg_subset.obs_names
    )
    np.testing.assert_array_equal(
        adata_pos_subset.var_names, adata_neg_subset.var_names
    )
def __init__(self):
        self.supports_check_mode = True
        self.argument_spec = dict(
            accept_eula=dict(
                type='bool',
                default='no',
                choices=BOOLEANS
            ),
            base_key=dict(
                required=False,
                no_log=True
            ),
            name=dict(
                required=True
            ),
            state=dict(
                required=False,
                default='present',
                choices=['absent', 'present']
            )
        )
        self.f5_product_name = 'iworkflow'