code: def test_set_boundaries_1d(self, X1):
      X1s = X1 - np.mean(X1, axis=0)
      L = pm.gp.hsgp_approx.set_boundary(X1s, c=2).eval()
      assert np.all(L == 10)
  
imports: import arviz
  import numpy
  import pytensor
  import pytensor.tensor
  import pytest
  from scipy.spatial import distance
  import pymc
label_desc: Use image node_id 1 for calling the TestHSGP obj's underlying member method code with example usage: obj.test_set_boundaries_1d(X1) without return types