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 Exists(self):
    """Returns True if the log group exists."""
    describe_cmd = util.AWS_PREFIX + [
        '--region', self.region,
        'logs', 'describe-log-groups',
        '--log-group-name-prefix', self.name,
        '--no-paginate'
    ]
    stdout, _, _ = vm_util.IssueCommand(describe_cmd)
    log_groups = json.loads(stdout)['logGroups']
    group = next((group for group in log_groups
                  if group['logGroupName'] == self.name), None)
    return bool(group)