code: def louvain_communities(
      G,
      weight="weight",
      resolution=1,
      threshold=0.0000001,
      seed=None,
      *,
      max_level=None,
      dtype=None,
  ):
      """`seed` parameter is currently ignored, and self-loops are not yet supported."""
      # NetworkX allows both directed and undirected, but cugraph only allows undirected.
      seed = _seed_to_int(
          seed
      )  # Unused, but ensure it's valid for future compatibility
      G = _to_undirected_graph(G, weight)
      if G.src_indices.size == 0:
          return [{key} for key in G._nodeiter_to_iter(range(len(G)))]
      if max_level is None:
          max_level = 500
      elif max_level > 500:
          warnings.warn(
              f"max_level is set too high (={max_level}), setting it to 500.",
              UserWarning,
              stacklevel=2,
          )
          max_level = 500
      node_ids, clusters, modularity = plc.louvain(
          resource_handle=plc.ResourceHandle(),
          graph=G._get_plc_graph(weight, 1, dtype),
          max_level=max_level,  # TODO: add this parameter to NetworkX
          threshold=threshold,
          resolution=resolution,
          do_expensive_check=False,
      )
      groups = _groupby(clusters, node_ids, groups_are_canonical=True)
      return [set(G._nodearray_to_list(ids)) for ids in groups.values()]
  
imports: import warnings
  import pylibcugraph
  from nx_cugraph.convert import _to_undirected_graph
  from nx_cugraph.utils import _dtype_param, _groupby, _seed_to_int, networkx_algorithm, not_implemented_for
label_desc: Use image node_id 1 for calling a global function with example usage: louvain_communities(G, weight, resolution, threshold, seed) and returns: unknown, unknown