From ab87a38312f27a6cbd8ea44b56e0bff6ff254569 Mon Sep 17 00:00:00 2001
From: Birte Kristina Friesel <birte.friesel@uos.de>
Date: Fri, 6 Jun 2025 14:39:28 +0200
Subject: behaviour: logging → logger
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---
 lib/behaviour.py | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

(limited to 'lib/behaviour.py')

diff --git a/lib/behaviour.py b/lib/behaviour.py
index 638aa93..d243b26 100644
--- a/lib/behaviour.py
+++ b/lib/behaviour.py
@@ -74,7 +74,7 @@ class SDKBehaviourModel:
                         flat_model = info(name, t_from).flatten()
                     else:
                         flat_model = list()
-                        logging.warning(
+                        logger.warning(
                             f"Model for {name} {t_from} is {info(name, t_from)}, expected SplitFunction"
                         )
 
@@ -148,7 +148,7 @@ class SDKBehaviourModel:
 
                 if this in n_seen:
                     if n_seen[this] == 1:
-                        logging.debug(
+                        logger.debug(
                             f"Loop found in {annotation.start.name} {annotation.end.param}: {this} ⟳"
                         )
                     n_seen[this] += 1
@@ -237,7 +237,7 @@ class SDKBehaviourModel:
 
             if this in n_seen:
                 if n_seen[this] == 1:
-                    logging.debug(
+                    logger.debug(
                         f"Loop found in {annotation.start.name} {annotation.end.param}: {this} ⟳"
                     )
                 n_seen[this] += 1
@@ -350,7 +350,7 @@ class EventSequenceModel:
             param_list = utils.param_dict_to_list(param, ref_model.parameters)
 
             if not use_lut and not param_info(name, action).is_predictable(param_list):
-                logging.warning(
+                logger.warning(
                     f"Cannot predict {name}.{action}({param}), falling back to static model"
                 )
 
@@ -364,15 +364,15 @@ class EventSequenceModel:
                 )
             except KeyError:
                 if use_lut:
-                    logging.error(
+                    logger.error(
                         f"Cannot predict {name}.{action}({param}) from LUT model"
                     )
                 else:
-                    logging.error(f"Cannot predict {name}.{action}({param}) from model")
+                    logger.error(f"Cannot predict {name}.{action}({param}) from model")
                 raise
             except TypeError:
                 if not use_lut:
-                    logging.error(f"Cannot predict {name}.{action}({param}) from model")
+                    logger.error(f"Cannot predict {name}.{action}({param}) from model")
                 raise
 
             if aggregate == "sum":
-- 
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