code: def test_sort_pandas_with_empty_blocks(
      ray_start_regular, use_push_based_shuffle
  ):
      assert (
          BlockAccessor.for_block(pa.Table.from_pydict({}))
          .sample(10, SortKey("A"))
          .num_rows
          == 0
      )
  
      partitions = BlockAccessor.for_block(
          pa.Table.from_pydict({})
      ).sort_and_partition([1, 5, 10], SortKey("A"))
      assert len(partitions) == 4
      for partition in partitions:
          assert partition.num_rows == 0
  
      assert (
          BlockAccessor.for_block(pa.Table.from_pydict({}))
          .merge_sorted_blocks(
              [pa.Table.from_pydict({})], SortKey("A")
          )[0]
          .num_rows
          == 0
      )
  
      ds = ray.data.from_items(
          [{"A": (x % 3), "B": x} for x in range(3)], parallelism=3
      )
      ds = ds.filter(lambda r: r["A"] == 0)
      assert list(ds.sort("A").iter_rows()) == [{"A": 0, "B": 0}]
  
      # Test empty dataset.
      ds = ray.data.range(10).filter(lambda r: r["id"] > 10)
      assert (
          len(
              ray.data._internal.sort.sample_boundaries(
                  ds._plan.execute().get_blocks(), SortKey("id"), 3
              )
          )
          == 2
      )
      assert ds.sort("id").count() == 0
  
imports: import random
  from collections import defaultdict
  import numpy
  import pandas
  import pyarrow
  import pytest
  import ray
  from ray.data import Dataset
  from ray.data._internal.planner.exchange.push_based_shuffle_task_scheduler import PushBasedShuffleTaskScheduler
  from ray.data._internal.sort import SortKey
  from ray.data.block import BlockAccessor
  from ray.data.context import DataContext
  from ray.data.tests.conftest import *
  from ray.data.tests.util import extract_values
  from ray.tests.conftest import *
label_desc: Use image node_id 8 for calling a global function with example usage: test_sort_pandas_with_empty_blocks(ray_start_regular, use_push_based_shuffle) without return types