code: def test_base_execution(setup):
      arr = ones((10, 8), chunk_size=2)
      arr2 = arr + 1
  
      res = arr2.execute().fetch()
  
      np.testing.assert_array_equal(res, np.ones((10, 8)) + 1)
  
      data = np.random.random((10, 8, 3))
      arr = tensor(data, chunk_size=2)
      arr2 = arr + 1
  
      res = arr2.execute().fetch()
      np.testing.assert_array_equal(res, data + 1)
  
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 5 for calling a global function with example usage: test_base_execution(setup) without return types