def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
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}
    )