code: def test_pyarrow_conversion_dispatch(preserve_index):
      from dask.dataframe.dispatch import (
          from_pyarrow_table_dispatch,
          to_pyarrow_table_dispatch,
      )
  
      df1 = cudf.DataFrame(np.random.randn(10, 3), columns=list("abc"))
      df2 = from_pyarrow_table_dispatch(
          df1,
          to_pyarrow_table_dispatch(df1, preserve_index=preserve_index),
      )
  
      assert type(df1) == type(df2)
      assert_eq(df1, df2)
  
      # Check that preserve_index does not produce a RangeIndex
      if preserve_index:
          assert not isinstance(df2.index, cudf.RangeIndex)
  
file_path: cudf/python/dask_cudf/dask_cudf/tests/test_dispatch.py
imports: import numpy
  import pandas
  import pytest
  from dask.base import tokenize
  from dask.dataframe import assert_eq
  from dask.dataframe.methods import is_categorical_dtype
  import cudf
label_desc: Use image node_id 2 for calling a global function with example usage: test_pyarrow_conversion_dispatch(preserve_index) without return types