code: def test_map_operator_min_rows_per_bundle(
      ray_start_regular_shared, use_actors
  ):
      # Simple sanity check of batching behavior.
      def _check_batch(
          block_iter: Iterable[Block], ctx
      ) -> Iterable[Block]:
          block_iter = list(block_iter)
          assert len(block_iter) == 5, block_iter
          data = [block["id"][0] for block in block_iter]
          assert data == list(range(5)) or data == list(
              range(5, 10)
          ), data
          for block in block_iter:
              yield block
  
      # Create with inputs.
      input_op = InputDataBuffer(
          make_ref_bundles([[i] for i in range(10)])
      )
      compute_strategy = (
          ActorPoolStrategy() if use_actors else TaskPoolStrategy()
      )
      op = MapOperator.create(
          create_map_transformer_from_block_fn(_check_batch),
          input_op=input_op,
          name="TestMapper",
          compute_strategy=compute_strategy,
          min_rows_per_bundle=5,
      )
  
      # 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)
  
      _take_outputs(op)
      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 13 for calling a global function with example usage: test_map_operator_min_rows_per_bundle(ray_start_regular_shared, use_actors) without return types