code: def find_two_paths(df, M):
      for i in range(len(df)):
          start = df["first"][i]
          end = df["second"][i]
          foundPath = False
          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]):
                  if M.indices[innerIdx] == end:
                      foundPath = True
                      break
              if foundPath:
                  break
          if not foundPath:
              print(
                  "No path found between "
                  + str(start)
                  + " and "
                  + str(end)
              )
          assert foundPath
  
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 4 for calling a global function with example usage: find_two_paths(df, M) without return types