diff --git a/python_tests/preferential/samplers/test_gp.py b/python_tests/preferential/samplers/test_gp.py
index 2ba53ce5..e5df9727 100644
--- a/python_tests/preferential/samplers/test_gp.py
+++ b/python_tests/preferential/samplers/test_gp.py
@@ -20,23 +20,6 @@ def test_orthants_MVN_Gibbs_sampling() -> None:
     assert ret.shape == (3, 2)
 
 
-def test_one_side_trunc_norm_sampling() -> None:
-    for lower in np.linspace(-10, 10, 100):
-        assert _one_side_trunc_norm_sampling(torch.Tensor([lower])) >= lower
-
-    with patch.object(torch, "rand", return_value=torch.Tensor([0.4])):
-        assert np.allclose(
-            _one_side_trunc_norm_sampling(torch.Tensor([0.1])).numpy(), 0.899967154837563
-        )
-    with patch.object(torch, "rand", return_value=torch.Tensor([0.8])):
-        assert np.allclose(
-            _one_side_trunc_norm_sampling(torch.Tensor([-2.3])).numpy(), -0.8113606739551955
-        )
-    with patch.object(torch, "rand", return_value=torch.Tensor([0.1])):
-        assert np.allclose(
-            _one_side_trunc_norm_sampling(torch.Tensor([5])).numpy(), 5.426934003050024
-        )
-
 def test_one_side_trunc_norm_sampling() -> None:
     for lower in np.linspace(-10, 10, 100):
         assert _one_side_trunc_norm_sampling(torch.tensor([lower], dtype=torch.float64)) >= lower