Start Python CI7

aaanalysis/_utils/check_data.py

@@ -220,7 +220,6 @@ def check_match_list_labels_names_datasets(list_labels=None, names_datasets=None
         raise ValueError(str_error)
 
 
-
 # Check sets
 def check_superset_subset(subset=None, superset=None, name_subset=None, name_superset=None, str_add=None):
     """Check if all elements of the subset are contained in the superset."""

aaanalysis/_utils/check_models.py

@@ -72,5 +72,3 @@ def check_model_kwargs(model_class=None, model_kwargs=None, name_model_class="mo
     if "random_state" not in model_kwargs and "random_state" in valid_args:
         model_kwargs.update(dict(random_state=random_state))
     return model_kwargs
-
-

aaanalysis/_utils/check_plots.py

@@ -103,7 +103,8 @@ def check_vmin_vmax(vmin=None, vmax=None, str_add=None):
 
 
 def check_lim(name="xlim", val=None, accept_none=True, str_add=None):
-    """Validate that lim parameter ('xlim' or 'ylim') is tuple with two numbers, where the first is less than the second."""
+    """Validate that lim parameter ('xlim' or 'ylim') is tuple with two numbers, where the first
+     is less than the second."""
     if val is None:
         if accept_none:
             return None  # Skip check

aaanalysis/_utils/check_type.py

@@ -146,7 +146,8 @@ def check_list_like(name=None, val=None, accept_none=False, convert=True, accept
                                 str_add=str_add)
             raise ValueError(str_error)
         if isinstance(val, np.ndarray) and val.ndim != 1:
-            str_error = add_str(str_error=f"'{name}' is a multi-dimensional numpy array and cannot be considered as a list.",
+            str_error = add_str(str_error=f"'{name}' is a multi-dimensional numpy array and cannot"
+                                          f" be considered as a list.",
                                 str_add=str_add)
             raise ValueError(str_error)
         val = list(val) if isinstance(val, (np.ndarray, pd.Series)) else val

aaanalysis/_utils/decorators.py

@@ -119,6 +119,7 @@ def wrapper(*args, **kwargs):
         return wrapper
     return decorator
 
+
 # Catch UndefinedMetricWarnings
 class CatchUndefinedMetricWarning:
     """Context manager to catch and aggregate UndefinedMetricWarnings."""
@@ -143,6 +144,7 @@ def _catch_warning(self, message, category, filename, lineno, file=None, line=No
     def get_warnings(self):
         return list(self._warn_set)
 
+
 def catch_undefined_metric_warning():
     """Decorator to catch and report UndefinedMetricWarnings once per unique message."""
     def decorator(func):
@@ -157,4 +159,4 @@ def wrapper(*args, **kwargs):
                 warnings.warn(summary_msg, UndefinedMetricWarning)
             return result
         return wrapper
-    return decorator
+    return decorator

aaanalysis/_utils/utils_output.py

@@ -60,4 +60,3 @@ def print_end_progress(end_message=None):
     if end_message is not None:
         print_out(end_message)
     sys.stdout.flush()
-

aaanalysis/feature_engineering/__init__.py

@@ -12,4 +12,4 @@
     "NumericalFeature",
     "CPP",
     "CPPPlot",
-]
+]