refactor the code in the class Dataset, minor changes in 'ml/validati…

…on_schema'

src/syngen/VERSION

@@ -1 +1 @@
-0.9.53rc7
+0.9.53rc9

src/syngen/ml/vae/models/dataset.py

@@ -132,12 +132,6 @@ def _preprocess_df(self, excluded_columns: Set[str]):
         """
         self._cast_to_numeric(excluded_columns)
         self.nan_labels_dict = get_nan_labels(self.df, excluded_columns)
-        if self.nan_labels_dict and self.format.get("na_values", []):
-            logger.info(
-                f"Despite the fact that data loading utilized the 'format' section "
-                f"for handling NA values, some values have been detected by the algorithm "
-                f"as NA labels in the columns - {self.nan_labels_dict}"
-            )
         self.df = nan_labels_to_float(self.df, self.nan_labels_dict)
 
     def _preparation_step(self):
@@ -415,6 +409,12 @@ def _common_detection(self):
         self._set_uuid_columns()
         self._set_long_text_columns()
         self._set_email_columns()
+        if self.nan_labels_dict and self.format.get("na_values", []):
+            logger.info(
+                f"Despite the fact that data loading utilized the 'format' section "
+                f"for handling NA values, some values have been detected by the algorithm "
+                f"as NA labels in the columns - {self.nan_labels_dict}"
+            )
 
     def _update_schema(self):
         """

src/syngen/ml/validation_schema/validation_schema.py

@@ -110,10 +110,10 @@ def validate_reports(x):
                 "The value 'all' or 'none' might not be passed in the list."
             )
         if not (
-                isinstance(x, list)
-                and all(
-                    isinstance(elem, str)
-                    and elem in ReportTypes().train_report_types for elem in x
+            isinstance(x, list)
+            and all(
+                isinstance(elem, str)
+                and elem in ReportTypes().train_report_types for elem in x
             )
         ):
             raise ValidationError("Invalid value.")