code: def test_map_operator_streamed(ray_start_regular_shared, use_actors):
      # Create with inputs.
      input_op = InputDataBuffer(
          make_ref_bundles([[np.ones(1024) * i] for i in range(100)])
      )
      compute_strategy = (
          ActorPoolStrategy() if use_actors else TaskPoolStrategy()
      )
      op = MapOperator.create(
          _mul2_map_data_prcessor,
          input_op=input_op,
          name="TestMapper",
          compute_strategy=compute_strategy,
      )
  
      # Feed data and implement streaming exec.
      output = []
      op.start(ExecutionOptions())
      while input_op.has_next():
          op.add_input(input_op.get_next(), 0)
          while not op.has_next():
              run_one_op_task(op)
          while op.has_next():
              ref = op.get_next()
              assert ref.owns_blocks, ref
              _get_blocks(ref, output)
  
      # Check equivalent to bulk execution in order.
      assert np.array_equal(
          output, [[np.ones(1024) * i * 2] for i in range(100)]
      )
      metrics = op.metrics.as_dict()
      assert metrics["obj_store_mem_alloc"] == pytest.approx(
          832200, 0.5
      ), metrics
      assert metrics["obj_store_mem_peak"] == pytest.approx(
          16880, 0.5
      ), metrics
      assert metrics["obj_store_mem_freed"] == pytest.approx(
          832200, 0.5
      ), metrics
      if use_actors:
          assert "locality_hits" in metrics, metrics
          assert "locality_misses" in metrics, metrics
      else:
          assert "locality_hits" not in metrics, metrics
          assert "locality_misses" not in metrics, metrics
      assert not op.completed()
  
imports: import collections
  import random
  import time
  from typing import Any, Iterable, List
  from unittest.mock import MagicMock
  import numpy
  import pandas
  import pytest
  import ray
  from ray._private.test_utils import wait_for_condition
  from ray.data._internal.compute import ActorPoolStrategy, TaskPoolStrategy
  from ray.data._internal.execution.interfaces import ExecutionOptions, PhysicalOperator, RefBundle
  from ray.data._internal.execution.operators.actor_pool_map_operator import ActorPoolMapOperator
  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.limit_operator import LimitOperator
  from ray.data._internal.execution.operators.map_operator import MapOperator, _BlockRefBundler
  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.operators.task_pool_map_operator import TaskPoolMapOperator
  from ray.data._internal.execution.operators.union_operator import UnionOperator
  from ray.data._internal.execution.util import make_ref_bundles
  from ray.data.block import Block
  from ray.data.context import DataContext
  from ray.data.tests.util import run_one_op_task, run_op_tasks_sync
  from ray.tests.conftest import *
label_desc: Use image node_id 8 for calling a global function with example usage: test_map_operator_streamed(ray_start_regular_shared, use_actors) without return types