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 test_consumed_capacity_get_unknown_item():
    conn = boto3.client("dynamodb", region_name="us-east-1")
    conn.create_table(
        TableName="test_table",
        KeySchema=[{"AttributeName": "u", "KeyType": "HASH"}],
        AttributeDefinitions=[{"AttributeName": "u", "AttributeType": "S"}],
        BillingMode="PAY_PER_REQUEST",
    )
    response = conn.get_item(
        TableName="test_table",
        Key={"u": {"S": "does_not_exist"}},
        ReturnConsumedCapacity="TOTAL",
    )

    # Should still return ConsumedCapacity, even if it does not return an item
    response.should.have.key("ConsumedCapacity")
    response["ConsumedCapacity"].should.equal(
        {"TableName": "test_table", "CapacityUnits": 0.5}
    )