code: def test_e2e_liveness_with_output_backpressure_edge_case(
      ray_start_10_cpus_shared, restore_data_context
  ):
      # At least one operator is ensured to be running, if the output becomes idle.
      ctx = DataContext.get_current()
      ctx.use_streaming_executor = True
      ctx.execution_options.preserve_order = True
      ctx.execution_options.resource_limits.object_store_memory = 1
      ds = ray.data.range(10000, parallelism=100).map(
          lambda x: x, num_cpus=2
      )
      # This will hang forever if the liveness logic is wrong, since the output
      # backpressure will prevent any operators from running at all.
      assert extract_values("id", ds.take_all()) == list(range(10000))
  
imports: import itertools
  import random
  import threading
  import time
  from typing import Any, List
  import pandas
  import pytest
  import ray
  from ray import cloudpickle
  from ray._private.test_utils import wait_for_condition
  from ray.data._internal.execution.interfaces import ExecutionOptions, ExecutionResources, RefBundle
  from ray.data._internal.execution.operators.base_physical_operator import AllToAllOperator
  from ray.data._internal.execution.operators.input_data_buffer import InputDataBuffer
  from ray.data._internal.execution.operators.map_operator import MapOperator
  from ray.data._internal.execution.operators.map_transformer import create_map_transformer_from_block_fn
  from ray.data._internal.execution.operators.output_splitter import OutputSplitter
  from ray.data._internal.execution.streaming_executor import StreamingExecutor
  from ray.data._internal.execution.util import make_ref_bundles
  from ray.data.context import DataContext
  from ray.data.tests.conftest import *
  from ray.data.tests.util import extract_values
label_desc: Use image node_id 13 for calling a global function with example usage: test_e2e_liveness_with_output_backpressure_edge_case(ray_start_10_cpus_shared, restore_data_context) without return types