code: def test_pickle_dataframe_numeric():
      np.random.seed(0)
      df = DataFrame()
      nelem = 10
      df["keys"] = np.arange(nelem, dtype=np.float64)
      df["vals"] = np.random.random(nelem)
  
      check_serialization(df)
  
file_path: cudf/python/cudf/cudf/tests/test_pickling.py
imports: import pickle
  import numpy
  import pandas
  import pytest
  from cudf import DataFrame, GenericIndex, RangeIndex, Series
  from cudf.core.buffer import as_buffer
  from cudf.testing._utils import assert_eq
label_desc: Use image node_id 3 for calling a global function with example usage: test_pickle_dataframe_numeric() without return types