code: def test_flatnonzero_execution(setup):
      x = arange(-2, 3, chunk_size=2)
  
      t = flatnonzero(x)
  
      res = t.execute().fetch()
      expected = np.flatnonzero(np.arange(-2, 3))
  
      np.testing.assert_equal(res, expected)
  
imports: import numpy
  import scipy.sparse
  import pytest
  from ....config import options
  from ...None import mod, stack, hstack
  from ...datasource import tensor, arange, zeros
  from ..None import take, compress, extract, choose, unravel_index, nonzero, flatnonzero, fill_diagonal
label_desc: Use image node_id 15 for calling a global function with example usage: test_flatnonzero_execution(setup) without return types