Whitespace

Author: hoijnet

terminusdb_client/scripts/scripts.py

@@ -21,7 +21,7 @@
 
 def _df_to_schema(class_name, df, np, embedded=None, id_col=None, na_mode=None, keys=None):
     """Convert a pandas DataFrame to a TerminusDB schema class definition.
-    
+
     Args:
         class_name: Name of the schema class to create
         df: pandas DataFrame with columns to convert
@@ -30,23 +30,23 @@ def _df_to_schema(class_name, df, np, embedded=None, id_col=None, na_mode=None,
         id_col: Column name to use as document ID
         na_mode: NA handling mode ('error', 'skip', or 'optional')
         keys: List of column names to use as keys
-    
+
     Returns:
         dict: Schema class definition dictionary
     """
     if keys is None:
         keys = []
     if embedded is None:
         embedded = []
-        
+
     class_dict = {"@type": "Class", "@id": class_name}
     np_to_builtin = {
         v: getattr(builtins, k)
         for k, v in np.sctypeDict.items()
         if k in vars(builtins)
     }
     np_to_builtin[np.datetime64] = dt.datetime
-    
+
     for col, dtype in dict(df.dtypes).items():
         if embedded and col in embedded:
             converted_type = class_name
@@ -62,7 +62,7 @@ def _df_to_schema(class_name, df, np, embedded=None, id_col=None, na_mode=None,
             class_dict[col] = {"@type": "Optional", "@class": converted_type}
         else:
             class_dict[col] = converted_type
-            
+
     return class_dict
 
 

terminusdb_client/woqldataframe/woqlDataframe.py

@@ -7,12 +7,12 @@
 
 def _expand_df(df, pd, keepid):
     """Expand nested JSON objects in DataFrame columns.
-    
+
     Args:
         df: pandas DataFrame to expand
         pd: pandas module reference
         keepid: whether to keep @id columns
-    
+
     Returns:
         DataFrame with nested objects expanded into separate columns
     """
@@ -37,7 +37,7 @@ def _expand_df(df, pd, keepid):
 
 def _embed_obj(df, maxdep, pd, keepid, all_existing_class, class_obj, client):
     """Recursively embed object references in DataFrame.
-    
+
     Args:
         df: pandas DataFrame to process
         maxdep: maximum recursion depth
@@ -46,7 +46,7 @@ def _embed_obj(df, maxdep, pd, keepid, all_existing_class, class_obj, client):
         all_existing_class: dict of class definitions from schema
         class_obj: the class type of the documents
         client: TerminusDB client for fetching documents
-    
+
     Returns:
         DataFrame with object references replaced by their document content
     """

terminusdb_client/woqlquery/woql_query.py

@@ -351,7 +351,7 @@ def _vlist(self, target_list):
 
     def _data_value_list(self, target_list):
         """DEPRECATED: Dead code - never called anywhere in the codebase.
-        
+
         Use _value_list() instead. This method will be removed in a future release.
         """
         dvl = []