code: def test_order_execution(setup):
      rs = np.random.RandomState(0)
      raw = np.asfortranarray(rs.rand(4, 5, 6))
      arr = tensor(raw, chunk_size=3)
  
      res = (arr * 3 + 1).execute().fetch()
      expected = raw * 3 + 1
  
      np.testing.assert_array_equal(res, expected)
      assert res.flags["C_CONTIGUOUS"] == expected.flags["C_CONTIGUOUS"]
      assert res.flags["F_CONTIGUOUS"] == expected.flags["F_CONTIGUOUS"]
  
file_path: mars/mars/tensor/fuse/tests/test_numexpr_execution.py
imports: import numpy
  from ....utils import ignore_warning
  from ...arithmetic import abs
  from ...datasource import tensor, arange
  from ...reduction import sum
label_desc: Use image node_id 7 for calling a global function with example usage: test_order_execution(setup) without return types