code: def _(
      G, source, neighbors=None, depth_limit=None, sort_neighbors=None
  ):
      return neighbors is None and sort_neighbors is None
  
imports: from itertools import repeat
  import cupy
  import networkx
  import numpy
  import pylibcugraph
  import nx_cugraph
  from nx_cugraph.convert import _to_graph
  from nx_cugraph.utils import _groupby, index_dtype, networkx_algorithm
label_desc: Use image node_id 4 for calling a global function with example usage: _(G, source, neighbors, depth_limit, sort_neighbors) and returns: unknown