code: def test_identitynode_removal(tmpdir):
      def test_function(arg1, arg2, arg3):
          import numpy as np
  
          return (np.array(arg1) + arg2 + arg3).tolist()
  
      wf = pe.Workflow(name="testidentity", base_dir=tmpdir.strpath)
  
      n1 = pe.Node(
          niu.IdentityInterface(fields=["a", "b"]),
          name="src",
          base_dir=tmpdir.strpath,
      )
      n1.iterables = ("b", [0, 1, 2, 3])
      n1.inputs.a = [0, 1, 2, 3]
  
      n2 = pe.Node(
          niu.Select(), name="selector", base_dir=tmpdir.strpath
      )
      wf.connect(n1, ("a", test_function, 1, -1), n2, "inlist")
      wf.connect(n1, "b", n2, "index")
  
      n3 = pe.Node(
          niu.IdentityInterface(fields=["c", "d"]),
          name="passer",
          base_dir=tmpdir.strpath,
      )
      n3.inputs.c = [1, 2, 3, 4]
      wf.connect(n2, "out", n3, "d")
  
      n4 = pe.Node(
          niu.Select(), name="selector2", base_dir=tmpdir.strpath
      )
      wf.connect(n3, ("c", test_function, 1, -1), n4, "inlist")
      wf.connect(n3, "d", n4, "index")
  
      fg = wf._create_flat_graph()
      wf._set_needed_outputs(fg)
      eg = pe.generate_expanded_graph(deepcopy(fg))
      assert len(eg.nodes()) == 8
  
imports: import os
  from copy import deepcopy
  import pytest
  from ...None import engine
  from ....interfaces import base
  from ....interfaces import utility
  from ....None import config
  from ..utils import clean_working_directory, write_workflow_prov, load_resultfile, format_node
label_desc: Use image node_id 1 for calling a global function with example usage: test_identitynode_removal(tmpdir) and returns: unknown