🩹 patch the mandatory arguments to base class object

nlpurify/scoring/baseclass.py

@@ -1,11 +1,14 @@
 # -*- encoding: utf-8 -*-
 
-from typing import Iterable
+from typing import List, Iterable
 from abc import ABC, abstractmethod
 
 class BaseLogicalOperator(ABC):
-    def __init__(self):
-        pass
+    def __init__(self, string : str, *references : List[str]) -> None:
+        self.string = string
+
+        # list of any n-reference strings for fuzzy scoring
+        self.references = references
 
 
     @abstractmethod

nlpurify/scoring/fuzzy/logical.py

@@ -60,11 +60,7 @@ def __init__(
         *references : List[str],
         method : str = "partial_ratio"
     ) -> None:
-        super().__init__()
-        self.string = string
-
-        # list of any n-reference strings for fuzzy scoring
-        self.references = references
+        super().__init__(string, *references)
 
         # mandatory keyword arguments which determines the fuzzy
         # the method is any of the supported argument of the fuzzy

nlpurify/scoring/regexp/logical.py

@@ -0,0 +1,17 @@
+# -*- encoding: utf-8 -*-
+
+"""
+Creates an Extension to Perform Logical Operations
+
+Logical operations like ``and`` or ``or`` can be implemented with the
+module. This reduces manual intervention like using repeated for-loop
+and/or conditional statements for the end user.
+"""
+
+from typing import List, Iterable
+
+from nlpurify.scoring.baseclass import BaseLogicalOperator
+
+class LogicalRegexp(BaseLogicalOperator):
+    def __init__(self, string : str, *references : List[str]) -> None:
+        super().__init__(string, *references)