Scale area penalty with number of datasets

This fix reproduces the area penalty behavior that was in v0.4.1 with multiple datasets with the same spectral axis.

For multiple datasets with different axes a more elaborate solution is required, see #800 for discussion.

glotaran/analysis/util.py

@@ -196,6 +196,9 @@ def calculate_clp_penalties(
     global_axis: np.ndarray,
 ) -> np.ndarray:
 
+    # TODO: make a decision on how to handle clp_penalties per dataset
+    # temporary workaround to better match v0.4.1 output
+    debug_scale = len(model.dataset)
     penalties = []
     for penalty in model.clp_area_penalties:
         penalty = penalty.fill(model, parameters)
@@ -214,8 +217,10 @@ def calculate_clp_penalties(
             penalty.target_intervals,
             global_axis,
         )
-
-        area_penalty = np.abs(np.sum(source_area) - penalty.parameter * np.sum(target_area))
+        area_penalty = np.abs(
+            debug_scale * np.sum(source_area)
+            - penalty.parameter * debug_scale * np.sum(target_area)
+        )
 
         penalties.append(area_penalty * penalty.weight)
 

glotaran/model/clp_penalties.py

@@ -73,6 +73,7 @@ def apply_spectral_penalties(
     group_tolerance: float,
 ) -> np.ndarray:
 
+    # TODO: seems to duplicate calculate_clp_penalties
     penalties = []
     for penalty in model.clp_area_penalties: