re-blacken.

pymc3/distributions/posterior_predictive.py

@@ -294,7 +294,7 @@ def fast_sample_posterior_predictive(
             _ETPParent = UserDict[str, np.ndarray]  # this is only processed by mypy
         else:
             # this is not seen by mypy but will be executed at runtime.
-            _ETPParent = UserDict  
+            _ETPParent = UserDict
 
         class _ExtendableTrace(_ETPParent):
             def extend_trace(self, trace: Dict[str, np.ndarray]) -> None:

pymc3/sampling.py

@@ -721,9 +721,9 @@ def _sample_many(
 
 
 def _sample_population(
-    draws:int,
-    chain:int,
-    chains:int,
+    draws: int,
+    chain: int,
+    chains: int,
     start,
     random_seed,
     step,
@@ -1714,12 +1714,15 @@ def sample_posterior_predictive(
 
     if var_names is not None:
         if vars is not None:
-            raise IncorrectArgumentsError("Should not specify both vars and var_names arguments.")
+            raise IncorrectArgumentsError(
+                "Should not specify both vars and var_names arguments."
+            )
         else:
             vars = [model[x] for x in var_names]
-    elif vars is not None: # var_names is None, and vars is not.
-        warnings.warn("vars argument is deprecated in favor of var_names.",
-                      DeprecationWarning)
+    elif vars is not None:  # var_names is None, and vars is not.
+        warnings.warn(
+            "vars argument is deprecated in favor of var_names.", DeprecationWarning
+        )
     if vars is None:
         vars = model.observed_RVs