code: def test_remove_auxiliary_nodes(
      input_nodes,
      input_edges,
      remove_count,
      expected_nodes,
      expected_edges,
  ):
      import networkx as nx
  
      # Create a sample graph
      graph = nx.MultiDiGraph()
      graph.add_nodes_from(input_nodes)
      graph.add_edges_from(input_edges)
  
      # Call the method to remove auxiliary nodes
      visualization._remove_auxiliary_nodes(graph, remove_count)
  
      # Check if the expected nodes are removed
      assert set(graph.nodes()) == expected_nodes, "Nodes mismatch"
  
      # Check if the edges are updated correctly
      assert list(graph.edges()) == expected_edges, "Edges mismatch"
  
imports: from pathlib import Path
  from typing import Text
  import rasa.shared.utils.io
  from rasa.shared.core.domain import Domain
  from rasa.shared.core.events import ActionExecuted, SlotSet, UserUttered
  from rasa.shared.core.training_data import visualization
  import rasa.utils.io
  from rasa.shared.nlu.constants import TEXT, INTENT
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.training_data.training_data import TrainingData
  import pytest
label_desc: Use image node_id 11 for calling a global function with example usage: test_remove_auxiliary_nodes(input_nodes, input_edges, remove_count, expected_nodes, expected_edges) without return types