fix formatting issue

Author: Juan Pablo González

Diff for: ml_garden/core/steps/encode.py

@@ -374,19 +374,18 @@ def _restore_target_encoded_dtypes(self, encoded_data, encoder):
         """Convert the columns handled by any TargetEncoder in the given encoder to float32."""
         for name, transformer, cols in encoder.transformers:
             # Direct TargetEncoder
-            if type(transformer).__name__ == 'TargetEncoder':
+            if type(transformer).__name__ == "TargetEncoder":
                 for col in cols:
-                    encoded_data[col] = encoded_data[col].astype('float32')
+                    encoded_data[col] = encoded_data[col].astype("float32")
 
             # Nested transformers (if inside pipelines or additional ColumnTransformers)
-            elif hasattr(transformer, 'transformers'):
+            elif hasattr(transformer, "transformers"):
                 for nested_name, nested_transformer, nested_cols in transformer.transformers:
-                    if type(nested_transformer).__name__ == 'TargetEncoder':
+                    if type(nested_transformer).__name__ == "TargetEncoder":
                         for col in nested_cols:
-                            encoded_data[col] = encoded_data[col].astype('float32')
+                            encoded_data[col] = encoded_data[col].astype("float32")
         return encoded_data
 
-
     def _convert_float64_to_float32(self, encoded_data: pd.DataFrame) -> pd.DataFrame:
         """Convert float64 columns to float32."""
         float64_columns = encoded_data.select_dtypes(include=["float64"]).columns