code: def test_sqrt():
      x = np.random.rand(100)
      y = np.random.rand(100)
      assert np.allclose(_sqrt(x, y), np.sqrt(x + y))
  
imports: import numpy
  import pytest
  from numpy.testing import assert_array_almost_equal
  from scipy.special import logsumexp
  from scipy.stats import circstd
  from ...data import from_dict, load_arviz_data
  from ...stats.density_utils import histogram
  from ...stats.stats_utils import ELPDData, _angle, _circfunc, _circular_standard_deviation, _sqrt, get_log_likelihood
  from ...stats.stats_utils import logsumexp
  from ...stats.stats_utils import make_ufunc, not_valid, stats_variance_2d, wrap_xarray_ufunc
label_desc: Use image node_id 24 for calling a global function with example usage: test_sqrt() without return types