Fix error in warn_treedepth when using multiple NUTS samplers

pymc/stats/convergence.py

@@ -164,7 +164,7 @@ def warn_treedepth(idata: arviz.InferenceData) -> list[SamplerWarning]:
 
     warnings = []
     for c in rmtd.chain:
-        if sum(rmtd.sel(chain=c)) / rmtd.sizes["draw"] > 0.05:
+        if (rmtd.sel(chain=c).mean("draw") > 0.05).any():
             warnings.append(
                 SamplerWarning(
                     WarningType.TREEDEPTH,

pymc/step_methods/hmc/nuts.py

@@ -198,7 +198,7 @@ def _hamiltonian_step(self, start, p0, step_size):
 
             if divergence_info or turning:
                 break
-        else:
+        else:  # no-break
             reached_max_treedepth = not self.tune
 
         stats = tree.stats()

tests/stats/test_convergence.py

@@ -42,6 +42,22 @@ def test_warn_treedepth():
     assert "Chain 1 reached the maximum tree depth" in warns[0].message
 
 
+def test_warn_treedepth_multiple_samplers():
+    """Check we handle cases when sampling with multiple NUTS samplers, each of which reports max_treedepth."""
+    max_treedepth = np.zeros((3, 2, 2), dtype=bool)
+    max_treedepth[0, 0, 0] = True
+    max_treedepth[2, 1, 1] = True
+    idata = arviz.from_dict(
+        sample_stats={
+            "reached_max_treedepth": max_treedepth,
+        }
+    )
+    warns = convergence.warn_treedepth(idata)
+    assert len(warns) == 2
+    assert "Chain 0 reached the maximum tree depth" in warns[0].message
+    assert "Chain 2 reached the maximum tree depth" in warns[1].message
+
+
 def test_log_warning_stats(caplog):
     s1 = dict(warning="Temperature too low!")
     s2 = dict(warning="Temperature too high!")