code: def __call__(self, graph):
      if "a" not in graph:
          raise ValueError("The graph must have an adjacency matrix")
      clustering_coeff = nx.clustering(nx.Graph(graph.a))
      clustering_coeff = np.array(
          [clustering_coeff[i] for i in range(graph.n_nodes)]
      )[:, None]
  
      if "x" not in graph:
          graph.x = clustering_coeff
      else:
          graph.x = np.concatenate((graph.x, clustering_coeff), axis=-1)
  
      return graph
  
imports: import networkx
  import numpy
label_desc: Use image node_id 1 for calling the ClusteringCoeff obj's underlying member method code with example usage: obj.__call__(graph) and returns: graph