code: def test_full_execution(setup):
      t = full((2, 2), 1, dtype="f4", chunk_size=1)
  
      res = t.execute().fetch()
      np.testing.assert_array_equal(res, np.full((2, 2), 1, dtype="f4"))
  
      t = full((2, 2), [1, 2], dtype="f8", chunk_size=1)
  
      res = t.execute().fetch()
      np.testing.assert_array_equal(
          res, np.full((2, 2), [1, 2], dtype="f8")
      )
  
      t = full((2, 2), 1, dtype="f4", chunk_size=1, order="F")
  
      res = t.execute().fetch()
      expected = np.full((2, 2), 1, dtype="f4", order="F")
      assert res.flags["C_CONTIGUOUS"] == expected.flags["C_CONTIGUOUS"]
      assert res.flags["F_CONTIGUOUS"] == expected.flags["F_CONTIGUOUS"]
  
      t2 = full_like(t, 10, order="F")
  
      res = t2.execute().fetch()
      expected = np.full((2, 2), 10, dtype="f4", order="F")
      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"]
  
imports: import tempfile
  import shutil
  import os
  import time
  import numpy
  import pandas
  import pytest
  from ....None import tensor
  from ....None import dataframe
  from ....lib.sparse import SparseNDArray
  from ....tests.core import require_cupy
  from ....utils import lazy_import
  from ...lib import nd_grid
  from ..None import tensor, ones_like, zeros, zeros_like, full, full_like, arange, empty, empty_like, diag, diagflat, eye, linspace, meshgrid, indices, triu, tril, from_dataframe, fromtiledb, fromhdf5, fromzarr
label_desc: Use image node_id 5 for calling a global function with example usage: test_full_execution(setup) without return types