code: def test_get_default():
      sr = cudf.Series([[1, 2], [3, 4, 5], [6, 7, 8, 9]])
  
      assert_eq(cudf.Series([cudf.NA, 5, 8]), sr.list.get(2))
      assert_eq(
          cudf.Series([cudf.NA, 5, 8]), sr.list.get(2, default=cudf.NA)
      )
      assert_eq(cudf.Series([0, 5, 8]), sr.list.get(2, default=0))
      assert_eq(cudf.Series([0, 3, 7]), sr.list.get(-3, default=0))
      assert_eq(cudf.Series([2, 5, 9]), sr.list.get(-1))
  
      string_sr = cudf.Series(
          [["apple", "banana"], ["carrot", "daffodil", "elephant"]]
      )
      assert_eq(
          cudf.Series(["default", "elephant"]),
          string_sr.list.get(2, default="default"),
      )
  
      sr_with_null = cudf.Series([[0, cudf.NA], [1]])
      assert_eq(
          cudf.Series([cudf.NA, 0]), sr_with_null.list.get(1, default=0)
      )
  
      sr_nested = cudf.Series(
          [[[1, 2], [3, 4], [5, 6]], [[5, 6], [7, 8]]]
      )
      assert_eq(cudf.Series([[3, 4], [7, 8]]), sr_nested.list.get(1))
      assert_eq(cudf.Series([[5, 6], cudf.NA]), sr_nested.list.get(2))
      assert_eq(
          cudf.Series([[5, 6], [0, 0]]),
          sr_nested.list.get(2, default=[0, 0]),
      )
  
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 19 for calling a global function with example usage: test_get_default() without return types