return an empty stat_values list in the else

metcalcpy/agg_stat_bootstrap.py

@@ -295,7 +295,6 @@ def _calc_stats(self, cases):
         logger = self.logger
         func_name = f'calculate_{self.statistic}'
         safe_log(logger, "info", f"Starting statistic calculation using function: {func_name}")
-        stat_values = []
         if cases is not None and cases.ndim == 2:
             # The single value case
             safe_log(logger, "debug", "Processing single-value case.")
@@ -306,8 +305,8 @@ def _calc_stats(self, cases):
             values = self.series_data[np.in1d(data_cases, flat_cases)].to_numpy()
             safe_log(logger, "debug", f"Number of values selected for single case: {len(values)}")
             # Calculate the statistic for each bootstrap iteration
-            stat_values = []
             try:
+                stat_values = []
                 stat_value = globals()[func_name](values, self.column_names, logger=logger)
                 stat_values.append([stat_value])
                 safe_log(logger, "info", f"Statistic calculated for bootstrap iteration: {stat_value}")
@@ -331,6 +330,7 @@ def _calc_stats(self, cases):
                     safe_log(logger, "error", f"Error calculating statistic for bootstrap iteration: {e}")
                     raise
         else:
+            stat_values = []
             safe_log(logger, "error", "Invalid input for cases. Cannot calculate statistic.")
             raise KeyError("can't calculate statistic")
         return stat_values