Remove test redundant with test_measurable_join_*

Author: Armavica

pymc/tests/logprob/test_joint_logprob.py

@@ -540,17 +540,3 @@ def test_hierarchical_obs_logp():
     ops = {a.owner.op for a in logp_ancestors if a.owner}
     assert len(ops) > 0
     assert not any(isinstance(o, RandomVariable) for o in ops)
-
-
-def test_logprob_join_constant_shapes():
-    x = at.random.normal(size=5)
-    y = at.random.normal(size=3)
-    xy = at.join(x, y)
-    xy_vv = at.vector("xy_vv")
-
-    xy_logp = pm.logp(xy, xy_vv)
-    # This is what Aeppl does not do!
-    assert_no_rvs(xy_logp)
-
-    f = pytensor.function([xy_vv], xy_logp)
-    np.testing.assert_array_equal(f(np.zeros(8)), sp.norm.logpdf(np.zeros(8)))

pymc/tests/logprob/test_tensor.py

@@ -247,6 +247,7 @@ def test_measurable_join_univariate(size1, size2, axis, concatenate):
     else:
         base_logps = at.stack(base_logps, axis=axis)
     y_logp = joint_logprob({y_rv: y_vv}, sum=False)
+    assert_no_rvs(y_logp)
 
     base1_testval = base1_rv.eval()
     base2_testval = base2_rv.eval()
@@ -314,6 +315,7 @@ def test_measurable_join_multivariate(size1, supp_size1, size2, supp_size2, axis
         axis_norm = np.core.numeric.normalize_axis_index(axis, base1_rv.ndim + 1)
         base_logps = at.stack(base_logps, axis=axis_norm - 1)
     y_logp = joint_logprob({y_rv: y_vv}, sum=False)
+    assert_no_rvs(y_logp)
 
     base1_testval = base1_rv.eval()
     base2_testval = base2_rv.eval()