code: def test_arrow_block_slice_copy_empty():
      # Test that ArrowBlock slicing properly copies the underlying Arrow
      # table when the table is empty.
      df = pd.DataFrame({"one": []})
      table = pa.Table.from_pandas(df)
      a, b = 0, 0
      expected_slice = table.slice(a, b - a)
      block_accessor = BlockAccessor.for_block(table)
  
      # Test with copy.
      table2 = block_accessor.slice(a, b, True)
      assert table2.equals(expected_slice)
      assert table2.schema == table.schema
      assert table2.num_rows == 0
  
      # Test without copy.
      table2 = block_accessor.slice(a, b, False)
      assert table2.equals(expected_slice)
      assert table2.schema == table.schema
      assert table2.num_rows == 0
  
imports: import os
  import numpy
  import pandas
  import pyarrow
  import pytest
  import ray
  from ray.data._internal.arrow_ops.transform_pyarrow import concat, unify_schemas
  from ray.data.block import BlockAccessor
  from ray.data.extensions import ArrowTensorArray, ArrowTensorType, ArrowVariableShapedTensorType
label_desc: Use image node_id 12 for calling a global function with example usage: test_arrow_block_slice_copy_empty() without return types