Update RNG in numba Dirichlet test

tests/link/numba/test_random.py

@@ -652,15 +652,11 @@ def test_unaligned_RandomVariable(rv_op, dist_args, base_size, cdf_name, params_
 def test_DirichletRV(a, size, cm):
     a, a_val = a
     rng = shared(np.random.default_rng(29402))
-    g = ptr.dirichlet(a, size=size, rng=rng)
-    g_fn = function([a], g, mode=numba_mode)
+    next_rng, g = ptr.dirichlet(a, size=size, rng=rng).owner.outputs
+    g_fn = function([a], g, mode=numba_mode, updates={rng: next_rng})
 
     with cm:
-        all_samples = []
-        for i in range(1000):
-            samples = g_fn(a_val)
-            all_samples.append(samples)
-
+        all_samples = [g_fn(a_val) for _ in range(1000)]
         exp_res = a_val / a_val.sum(-1)
         res = np.mean(all_samples, axis=tuple(range(0, a_val.ndim - 1)))
         assert np.allclose(res, exp_res, atol=1e-4)