code: def convert_to_cudf(cp_arrays):
      """
      Creates a cudf DataFrame from cupy arrays from pylibcugraph wrapper
      """
  
      cupy_first, cupy_second, cupy_similarity = cp_arrays
  
      df = cudf.DataFrame()
      df["first"] = cupy_first
      df["second"] = cupy_second
      df["sorensen_coeff"] = cupy_similarity
  
      return df
  
file_path: cugraph/python/cugraph/cugraph/dask/link_prediction/sorensen.py
imports: from dask.distributed import wait, default_client
  import cugraph.dask.comms.comms
  import dask_cudf
  import cudf
  from cugraph.dask.common.input_utils import get_distributed_data
  from cugraph.utilities import renumber_vertex_pair
  from pylibcugraph import sorensen_coefficients
  from pylibcugraph import ResourceHandle
label_desc: Use image node_id 1 for calling a global function with example usage: convert_to_cudf(cp_arrays) and returns: df