code: def intersection_all(graphs):
      """Returns a new graph that contains only the nodes and the edges that exist in
      all graphs.
  
      Parameters
      ----------
      graphs : iterable
         Iterable of NetworkX graphs
  
      Returns
      -------
      R : A new graph with the same type as the first graph in list
  
      Raises
      ------
      ValueError
         If `graphs` is an empty list.
  
      NetworkXError
          In case of mixed type graphs, like MultiGraph and Graph, or directed and undirected graphs.
  
      Notes
      -----
      For operating on mixed type graphs, they should be converted to the same type.
  
      Attributes from the graph, nodes, and edges are not copied to the new
      graph.
  
      The resulting graph can be updated with attributes if desired. For example, code which adds the minimum attribute for each node across all graphs could work.
      >>> g = nx.Graph()
      >>> g.add_node(0, capacity=4)
      >>> g.add_node(1, capacity=3)
      >>> g.add_edge(0, 1)
  
      >>> h = g.copy()
      >>> h.nodes[0]["capacity"] = 2
  
      >>> gh = nx.intersection_all([g, h])
  
      >>> new_node_attr = {n: min(*(anyG.nodes[n].get('capacity', float('inf')) for anyG in [g, h])) for n in gh}
      >>> nx.set_node_attributes(gh, new_node_attr, 'new_capacity')
      >>> gh.nodes(data=True)
      NodeDataView({0: {'new_capacity': 2}, 1: {'new_capacity': 3}})
  
      Examples
      --------
      >>> G1 = nx.Graph([(1, 2), (2, 3)])
      >>> G2 = nx.Graph([(2, 3), (3, 4)])
      >>> R = nx.intersection_all([G1, G2])
      >>> list(R.nodes())
      [2, 3]
      >>> list(R.edges())
      [(2, 3)]
  
      """
      R = None
  
      for i, G in enumerate(graphs):
          G_nodes_set = set(G.nodes)
          G_edges_set = set(G.edges)
          if not G.is_directed():
              if G.is_multigraph():
                  G_edges_set.update(
                      (v, u, k) for u, v, k in list(G_edges_set)
                  )
              else:
                  G_edges_set.update(
                      (v, u) for u, v in list(G_edges_set)
                  )
          if i == 0:
              # create new graph
              R = G.__class__()
              node_intersection = G_nodes_set
              edge_intersection = G_edges_set
          elif G.is_directed() != R.is_directed():
              raise nx.NetworkXError(
                  "All graphs must be directed or undirected."
              )
          elif G.is_multigraph() != R.is_multigraph():
              raise nx.NetworkXError(
                  "All graphs must be graphs or multigraphs."
              )
          else:
              node_intersection &= G_nodes_set
              edge_intersection &= G_edges_set
  
      if R is None:
          raise ValueError(
              "cannot apply intersection_all to an empty list"
          )
  
      R.add_nodes_from(node_intersection)
      R.add_edges_from(edge_intersection)
  
      return R
  
imports: from itertools import chain, repeat
  import networkx
label_desc: Use image node_id 4 for calling a global function with example usage: intersection_all(graphs) and returns: R