code: def test_setitem():
      shape = (10, 20, 30, 40)
      t = ones(shape, chunk_size=5, dtype="i4")
      t[5:20:3, 5, ..., :-5] = 2.2
  
      assert isinstance(t.op, TensorIndexSetValue)
      assert t.shape == shape
      assert isinstance(t.inputs[0].op.outputs[0].op, TensorOnes)
  
      t = tile(t)
      assert isinstance(t.chunks[0].op, TensorOnes)
      assert isinstance(t.cix[1, 1, 0, 0].op, TensorIndexSetValue)
      assert t.cix[1, 1, 0, 0].op.value == 2.2
  
      t2 = ones(shape, chunk_size=5, dtype="i4")
      shape = t2[5:20:3, 5, ..., :-5].shape
      t2[5:20:3, 5, ..., :-5] = (
          ones(shape, chunk_size=4, dtype="i4") * 2
      )
  
      t2 = tile(t2)
      assert isinstance(t2.chunks[0].op, TensorOnes)
      assert isinstance(t2.cix[1, 1, 0, 0].op, TensorIndexSetValue)
      assert isinstance(
          t2.cix[1, 1, 0, 0].op.value.op, TensorConcatenate
      )
  
imports: import numpy
  import pytest
  from ....config import option_context
  from ....core import tile
  from ...base.broadcast_to import TensorBroadcastTo
  from ...datasource import ones, tensor, array, empty
  from ...datasource.ones import TensorOnes
  from ...merge.concatenate import TensorConcatenate
  from ..None import choose, unravel_index, nonzero, compress, fill_diagonal
  from ..setitem import TensorIndexSetValue
label_desc: Use image node_id 9 for calling a global function with example usage: test_setitem() without return types