Fix some FutureWarnings in the tests

Author: Armavica

pymc/tests/test_model.py

@@ -348,7 +348,7 @@ def test_missing_data(self):
 
         assert m["x2_missing"].type == gf._extra_vars_shared["x2_missing"].type
 
-        pnt = m.test_point.copy()
+        pnt = m.initial_point(seed=None).copy()
         del pnt["x2_missing"]
 
         res = [gf(DictToArrayBijection.map(Point(pnt, model=m))) for i in range(5)]
@@ -526,7 +526,7 @@ def test_make_obs_var():
     assert masked_output != fake_distribution
     assert not isinstance(masked_output, RandomVariable)
     # Ensure it has missing values
-    assert {"testing_inputs_missing"} == {v.name for v in fake_model.vars}
+    assert {"testing_inputs_missing"} == {v.name for v in fake_model.value_vars}
     assert {"testing_inputs", "testing_inputs_observed"} == {
         v.name for v in fake_model.observed_RVs
     }

pymc/tests/test_sampling.py

@@ -204,7 +204,7 @@ def test_parallel_start(self):
                 tune=5,
                 cores=2,
                 discard_tuned_samples=False,
-                start=[{"x": [10, 10]}, {"x": [-10, -10]}],
+                initvals=[{"x": [10, 10]}, {"x": [-10, -10]}],
                 random_seed=self.random_seed,
             )
         assert idata.warmup_posterior["x"].sel(chain=0, draw=0).values[0] > 0
@@ -226,7 +226,7 @@ def test_reset_tuning(self):
             tune = 50
             chains = 2
             start, step = pm.sampling.init_nuts(chains=chains, random_seed=[1, 2])
-            pm.sample(draws=2, tune=tune, chains=chains, step=step, start=start, cores=1)
+            pm.sample(draws=2, tune=tune, chains=chains, step=step, initvals=start, cores=1)
             assert step.potential._n_samples == tune
             assert step.step_adapt._count == tune + 1
 
@@ -403,12 +403,12 @@ def test_sample_find_MAP_does_not_modify_start():
 
         # make sure sample does not modify the start dict
         start = {"untransformed": 0.2}
-        pm.sample(draws=10, step=pm.Metropolis(), tune=5, start=start, chains=3)
+        pm.sample(draws=10, step=pm.Metropolis(), tune=5, initvals=start, chains=3)
         assert start == {"untransformed": 0.2}
 
         # make sure sample does not modify the start when passes as list of dict
         start = [{"untransformed": 2}, {"untransformed": 0.2}]
-        pm.sample(draws=10, step=pm.Metropolis(), tune=5, start=start, chains=2)
+        pm.sample(draws=10, step=pm.Metropolis(), tune=5, initvals=start, chains=2)
         assert start == [{"untransformed": 2}, {"untransformed": 0.2}]