code: def test_flip_execution(setup):
      a = arange(8, chunk_size=2).reshape((2, 2, 2))
  
      t = flip(a, 0)
  
      res = t.execute().fetch()
      expected = np.flip(np.arange(8).reshape(2, 2, 2), 0)
      np.testing.assert_equal(res, expected)
  
      t = flip(a, 1)
  
      res = t.execute().fetch()
      expected = np.flip(np.arange(8).reshape(2, 2, 2), 1)
      np.testing.assert_equal(res, expected)
  
      t = flipud(a)
  
      res = t.execute().fetch()
      expected = np.flipud(np.arange(8).reshape(2, 2, 2))
      np.testing.assert_equal(res, expected)
  
      t = fliplr(a)
  
      res = t.execute().fetch()
      expected = np.fliplr(np.arange(8).reshape(2, 2, 2))
      np.testing.assert_equal(res, expected)
  
imports: import numpy
  import scipy.sparse
  import pandas
  import pytest
  from ....None import dataframe
  from ....None import tensor
  from ....None import execute, fetch
  from ....tests.core import require_cupy
  from ...datasource import tensor, ones, zeros, arange
  from ..None import copyto, transpose, moveaxis, broadcast_to, broadcast_arrays, where, expand_dims, rollaxis, atleast_1d, atleast_2d, atleast_3d, argwhere, array_split, split, hsplit, vsplit, dsplit, roll, squeeze, diff, ediff1d, flip, flipud, fliplr, repeat, tile, isin, searchsorted, unique, sort, argsort, partition, argpartition, topk, argtopk, trapz, shape, to_gpu, to_cpu, swapaxes
label_desc: Use image node_id 23 for calling a global function with example usage: test_flip_execution(setup) without return types