supress warning SMC initialization

Author: aloctavodia

pymc/smc/smc.py

@@ -15,6 +15,7 @@
 
 from abc import ABC
 from typing import Dict, cast
+import warnings
 
 import aesara.tensor as at
 import numpy as np
@@ -175,12 +176,18 @@ def __init__(
 
     def initialize_population(self) -> Dict[str, np.ndarray]:
         """Create an initial population from the prior distribution"""
-        result = sample_prior_predictive(
-            self.draws,
-            var_names=[v.name for v in self.model.unobserved_value_vars],
-            model=self.model,
-            return_inferencedata=False,
-        )
+        print()
+        with warnings.catch_warnings():
+            warnings.filterwarnings(
+                "ignore", category=UserWarning, message="The effect of Potentials"
+            )
+
+            result = sample_prior_predictive(
+                self.draws,
+                var_names=[v.name for v in self.model.unobserved_value_vars],
+                model=self.model,
+                return_inferencedata=False,
+            )
         return cast(Dict[str, np.ndarray], result)
 
     def _initialize_kernel(self):