code: def test_take(data, idx):
      ps = pd.Series(data)
      gs = cudf.from_pandas(ps)
  
      expected = pd.Series(zip(ps, idx)).map(
          lambda x: [x[0][i] for i in x[1]]
          if x[0] is not None
          else None
      )
      got = gs.list.take(idx)
      assert_eq(expected, got)
  
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 11 for calling a global function with example usage: test_take(data, idx) without return types