code: def test_corrcoef_execution(setup):
      data_x = [-2.1, -1, 4.3]
      data_y = [3, 1.1, 0.12]
      x = tensor(data_x, chunk_size=1)
      y = tensor(data_y, chunk_size=1)
  
      t = corrcoef(x, y)
  
      res = t.execute().fetch()
      expected = np.corrcoef(data_x, data_y)
      np.testing.assert_equal(res, expected)
  
imports: import numpy
  import scipy.sparse
  import pytest
  from ....utils import ignore_warning
  from ...datasource import arange, tensor, empty
  from ...base import sort
  from ...merge import stack
  from ...reduction import all
  from ..None import average, bincount, cov, corrcoef, ptp, digitize, histogram_bin_edges, histogram, quantile, percentile, median
  from ..quantile import INTERPOLATION_TYPES
label_desc: Use image node_id 3 for calling a global function with example usage: test_corrcoef_execution(setup) without return types