Simplify and expand test ranges in test_normal_horseshoe_sampler

tests/test_gibbs.py

@@ -86,13 +86,13 @@ def test_horseshoe_match(srng):
 
 
 @pytest.mark.parametrize(
-    "N, p, nonzero_atol",
+    "N, p, rtol",
     [
-        (50, 10, np.array([1.0, 0.5, 0.5, 3e-1, 3e-1])),
-        (50, 55, np.array([1.5, 0.5, 0.5, 0.75, 3e-1])),
+        (50, 10, 0.5),
+        (50, 75, 0.5),
     ],
 )
-def test_normal_horseshoe_sampler(srng, N, p, nonzero_atol):
+def test_normal_horseshoe_sampler(srng, N, p, rtol):
     """Check the results of a normal regression model with a Horseshoe prior.
 
     This test example is modified from section 3.2 of Makalic & Schmidt (2016)
@@ -131,8 +131,7 @@ def test_normal_horseshoe_sampler(srng, N, p, nonzero_atol):
         assert np.all(lambda_post_val >= 0)
 
     beta_post_median = np.median(beta_post_vals[100::2], axis=0)
-    assert np.allclose(beta_post_median[:5], true_beta[:5], atol=nonzero_atol)
-    assert np.all(np.abs(beta_post_median[5:]) < 1)
+    assert np.allclose(beta_post_median[:5], true_beta[:5], atol=1e-1, rtol=rtol)
 
 
 @pytest.mark.parametrize(