int on unconverged sample size

Author: Jammy2211

autofit/non_linear/analysis/combined.py

@@ -358,7 +358,11 @@ def make_result(
     ):
         child_results = [
             analysis.make_result(
-                samples_summary, paths, samples, search_internal, analysis
+                samples_summary=samples_summary,
+                paths=paths,
+                samples=samples,
+                search_internal=search_internal,
+                analysis=analysis
             )
             for analysis in self.analyses
         ]

autofit/non_linear/samples/pdf.py

@@ -170,10 +170,10 @@ def values_at_sigma(self, sigma: float) -> [Tuple, ModelInstance]:
             return [(lower, upper) for lower, upper in zip(lower_errors, upper_errors)]
 
         parameters_min = list(
-            np.min(self.parameter_lists[-self.unconverged_sample_size :], axis=0)
+            np.min(self.parameter_lists[-int(self.unconverged_sample_size) :], axis=0)
         )
         parameters_max = list(
-            np.max(self.parameter_lists[-self.unconverged_sample_size :], axis=0)
+            np.max(self.parameter_lists[-int(self.unconverged_sample_size) :], axis=0)
         )
 
         return [