Calling prior in sampling with fixed parameters does not work

pypesto/problem/base.py

@@ -237,6 +237,15 @@ def normalize(self) -> None:
             x_fixed_vals=self.x_fixed_vals,
         )
 
+        # make prior aware of fixed parameters (for sampling etc.)
+        if self.x_priors is not None:
+            self.x_priors.update_from_problem(
+                dim_full=self.dim_full,
+                x_free_indices=self.x_free_indices,
+                x_fixed_indices=self.x_fixed_indices,
+                x_fixed_vals=self.x_fixed_vals,
+            )
+
         # sanity checks
         if len(self.x_scales) != self.dim_full:
             raise AssertionError("x_scales dimension invalid.")

pypesto/sample/emcee.py

@@ -149,7 +149,7 @@ def initialize(
         lb = self.problem.lb
         ub = self.problem.ub
 
-        # parameter dimenstion
+        # parameter dimension
         ndim = len(self.problem.x_free_indices)
 
         def log_prob(x):