Feature 404 v3.0.0 beta6

docs/Users_Guide/release-notes.rst

@@ -8,8 +8,27 @@ describes the bugfix, enhancement, or new feature: `METcalcpy GitHub issues. <ht
 METcalcpy Release Notes
 =======================
 
+METcalcpy Velsion 3.0.0-beta6 release notes (20241017)
+------------------------------------------------------
+
+  .. dropdown:: New Functionality
+
+     None
+
+  .. dropdown:: Enhancements
+
+     * Improve logging for 5 STIGs (`METplus-Internal#46 <https://github.com/dtcenter/METplus-Internal/issues/46>`_)
+
+  .. dropdown:: Internal
+
+     None
+
+  .. dropdown:: Bugfixes
+
+     * Bugfix: MODE CSI calculations result in spurious results (`#360 <https://github.com/dtcenter/METcalcpy/issues/360>`_)
+
 
-METcalcpy Velsion 3.0.0-beta5 release notes (20230628)
+METcalcpy Velsion 3.0.0-beta5 release notes (20240628)
 ------------------------------------------------------
 
 
@@ -31,7 +50,7 @@ METcalcpy Velsion 3.0.0-beta5 release notes (20230628)
   .. dropdown:: Bugfixes
 
 
-METcalcpy Velsion 3.0.0-beta4 release notes (20230417)
+METcalcpy Velsion 3.0.0-beta4 release notes (20240417)
 ------------------------------------------------------
 
 
@@ -57,7 +76,7 @@ METcalcpy Velsion 3.0.0-beta4 release notes (20230417)
 
      * Address negative values returned by calculate_bcmse() and calculate_bcrmse() in sl1l2_statistics module (`#329 <https://github.com/dtcenter/METcalcpy/issues/329>`_)
 
-METcalcpy Velsion 3.0.0-beta3 release notes (20230207)
+METcalcpy Velsion 3.0.0-beta3 release notes (20240207)
 ------------------------------------------------------
 
 

docs/conf.py

@@ -26,7 +26,7 @@
 verinfo = version
 release = f'{version}'
 release_year = '2024'
-release_date = f'{release_year}-06-28'
+release_date = f'{release_year}-10-17'
 copyright = f'{release_year}, {author}'
 
 # if set, adds "Last updated on " followed by

docs/version

@@ -1 +1 @@
-__version__="3.0.0-beta6-dev"
+__version__="3.0.0-beta6"

metcalcpy/sum_stat.py

@@ -295,7 +295,7 @@ def process_rows(self):
     #     return self.parallelize(data, partial(self.run_on_subset, func), num_of_processes)
 
 
-def calculate_statistic(self, values, columns_names, stat_name, aggregation=False):
+def calculate_statistic(values, columns_names, stat_name, aggregation=False):
     """Calculate the statistic of values
         Args:
             values: a np.array of values we want to calculate the statistic on
@@ -307,19 +307,17 @@ def calculate_statistic(self, values, columns_names, stat_name, aggregation=Fals
         Raises:
             an error
         """
-    logger = self.logger
-    safe_log(logger, "debug", f"Calculating statistic '{stat_name}' with aggregation: {aggregation}.")
     try:
         func_name = f'calculate_{stat_name}'
         num_parameters = len(signature(globals()[func_name]).parameters)
         if num_parameters == 2:
-            stat = globals()[func_name](values, columns_names, logger=logger)
+            stat = globals()[func_name](values, columns_names)
         else:
-            stat = globals()[func_name](values, columns_names, aggregation, logger=logger)
-        safe_log(logger, "info", f"Successfully calculated statistic '{stat_name}'.")
-    except Exception as e:
-        safe_log(logger, "error", f"An error occurred while calculating statistic '{stat_name}': {e}")
-        raise
+            stat = globals()[func_name](values, columns_names, aggregation)
+    except Exception:
+        raise RuntimeError(
+            "Error occurred while calculating statistic using METcalcpy sum_stat module's calculate_statistic(): " +
+            stat_name)
     return stat
 
 

metcalcpy/util/ctc_statistics.py

@@ -218,7 +218,7 @@ def calculate_pofd(input_data, columns_names, logger=None):
         result = fy_on / oy
         result = round_half_up(result, PRECISION)
         safe_log(logger, "info", f"POFD calculation successful: {result}")
-    except (TypeError, ZeroDivisionError, Warning, ValueError):
+    except (TypeError, ZeroDivisionError, Warning, ValueError) as e:
         safe_log(logger, "error", f"Error in POFD calculation: {e}")
         result = None
     warnings.filterwarnings('ignore')