code: def compare_series(series_1, series_2):
      assert len(series_1) == len(series_2)
      df = cudf.DataFrame({"series_1": series_1, "series_2": series_2})
      diffs = df.query("series_1 != series_2")
  
      if len(diffs) > 0:
          print("diffs:\n", diffs)
  
      assert len(diffs) == 0
  
imports: import gc
  import time
  import pytest
  import pandas
  import scipy
  import networkx
  import cupy
  import cudf
  import cugraph
  from cugraph.testing import utils
  from cudf.testing import assert_series_equal
  from cudf.testing.testing import assert_frame_equal
  import dask_cudf
  import cugraph.dask
  from dask.distributed import Client
  from dask_cuda import LocalCUDACluster
  from pylibcugraph import ResourceHandle
  from pylibcugraph import bfs
  from cugraph.dask.traversal.bfs import convert_to_cudf
  from cugraph.dask.common.mg_utils import is_single_gpu
label_desc: Use image node_id 2 for calling a global function with example usage: compare_series(series_1, series_2) without return types