code: def test_map_operator_ray_args(shutdown_only, use_actors):
      ray.shutdown()
      ray.init(num_cpus=0, num_gpus=1)
      # Create with inputs.
      input_op = InputDataBuffer(
          make_ref_bundles([[i] for i in range(10)])
      )
      compute_strategy = (
          ActorPoolStrategy(size=1)
          if use_actors
          else TaskPoolStrategy()
      )
      op = MapOperator.create(
          _mul2_map_data_prcessor,
          input_op=input_op,
          name="TestMapper",
          compute_strategy=compute_strategy,
          ray_remote_args={"num_cpus": 0, "num_gpus": 1},
      )
  
      # Feed data and block on exec.
      op.start(ExecutionOptions())
      while input_op.has_next():
          op.add_input(input_op.get_next(), 0)
      op.all_inputs_done()
      run_op_tasks_sync(op)
  
      # Check we don't hang and complete with num_gpus=1.
      assert _take_outputs(op) == [[i * 2] for i in range(10)]
      assert 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 15 for calling a global function with example usage: test_map_operator_ray_args(shutdown_only, use_actors) without return types