code: def check_all_two_hops(df, M):
      num_verts = len(M.indptr) - 1
      first_arr = df["first"].to_numpy()
      second_arr = df["second"].to_numpy()
      for start in range(num_verts):
          for idx in range(M.indptr[start], M.indptr[start + 1]):
              mid = M.indices[idx]
              for innerIdx in range(M.indptr[mid], M.indptr[mid + 1]):
                  end = M.indices[innerIdx]
                  if start != end:
                      assert has_pair(first_arr, second_arr, start, end)
  
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 6 for calling a global function with example usage: check_all_two_hops(df, M) without return types