code: def test_leaves(data):
      pa_array = pa.array(data)
      while hasattr(pa_array, "flatten"):
          pa_array = pa_array.flatten()
  
      expect = cudf.Series(pa_array)
      got = cudf.Series(data).list.leaves
      assert_eq(
          expect,
          got,
          check_dtype=not isinstance(pa_array, pa.NullArray),
      )
  
imports: import functools
  import operator
  import numpy
  import pandas
  import pyarrow
  import pytest
  import cudf
  from cudf import NA
  from cudf._lib.copying import get_element
  from cudf.api.types import is_scalar
  from cudf.testing._utils import DATETIME_TYPES, NUMERIC_TYPES, TIMEDELTA_TYPES, assert_eq
label_desc: Use image node_id 3 for calling a global function with example usage: test_leaves(data) without return types