code: def test_base_order_execution(setup):
      raw = np.asfortranarray(np.random.rand(5, 6))
      arr = tensor(raw, chunk_size=3)
  
      res = (arr + 1).execute().fetch()
      np.testing.assert_array_equal(res, raw + 1)
      assert res.flags["C_CONTIGUOUS"] is False
      assert res.flags["F_CONTIGUOUS"] is True
  
      res2 = add(arr, 1, order="C").execute().fetch()
      np.testing.assert_array_equal(res2, np.add(raw, 1, order="C"))
      assert res2.flags["C_CONTIGUOUS"] is True
      assert res2.flags["F_CONTIGUOUS"] is False
  
imports: import functools
  import operator
  import numpy
  import scipy.sparse
  import pytest
  from ....config import option_context
  from ....session import execute, fetch
  from ....tests.core import require_cupy
  from ....utils import ignore_warning
  from ...datasource import ones, tensor, zeros, arange
  from ..None import add, cos, truediv, frexp, modf, clip, isclose, arctan2, tree_add, tree_multiply
label_desc: Use image node_id 6 for calling a global function with example usage: test_base_order_execution(setup) without return types