Updating the test case

README.md

@@ -1,6 +1,15 @@
-# `SqueakyCleanText` 
+<div align="center">
 
-[![PyPI](https://img.shields.io/pypi/v/squeakycleantext.svg)](https://pypi.org/project/squeakycleantext/) [![PyPI - Downloads](https://img.shields.io/pypi/dm/squeakycleantext)](https://pypistats.org/packages/squeakycleantext)
+# SqueakyCleanText
+
+[![PyPI](https://img.shields.io/pypi/v/squeakycleantext.svg)](https://pypi.org/project/squeakycleantext/)
+[![PyPI - Downloads](https://img.shields.io/pypi/dm/squeakycleantext)](https://pypistats.org/packages/squeakycleantext)
+[![Python package](https://github.com/rhnfzl/SqueakyCleanText/actions/workflows/python-package.yml/badge.svg)](https://github.com/rhnfzl/SqueakyCleanText/actions/workflows/python-package.yml)
+[![Python Versions](https://img.shields.io/badge/Python-3.10%20|%203.11%20|%203.12-blue)](https://pypi.org/project/squeakycleantext/)
+[![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
+
+A comprehensive text cleaning and preprocessing pipeline for machine learning and NLP tasks.
+</div>
 
 In the world of machine learning and natural language processing, clean and well-structured text data is crucial for building effective downstream models and managing token limits in language models. 
 

tests/test_sct.py

@@ -65,12 +65,13 @@ def setUpClass(cls):
         try:
             with timeout(1200):  # 20 minute timeout
                 config.CHECK_NER_PROCESS = False
+                # Initialize all the processing classes
                 cls.ProcessContacts = contact.ProcessContacts()
                 cls.ProcessDateTime = datetime.ProcessDateTime()
                 cls.ProcessSpecialSymbols = special.ProcessSpecialSymbols()
                 cls.NormaliseText = normtext.NormaliseText()
                 cls.ProcessStopwords = stopwords.ProcessStopwords()
-                cls.fake = Faker()
+                cls.fake = Faker()  # Initialize Faker
 
                 # Override default models with smaller model for testing
                 test_models = ["dslim/bert-base-NER"] * 5  # Same small model for all languages
@@ -99,8 +100,15 @@ def setUpClass(cls):
             raise
 
     def setUp(self):
+        """Set up test fixtures before each test method."""
         config.CHECK_NER_PROCESS = True
-        # Use the class-level NER instance instead of creating a new one
+        # Copy class-level attributes to instance level
+        self.ProcessContacts = self.__class__.ProcessContacts
+        self.ProcessDateTime = self.__class__.ProcessDateTime
+        self.ProcessSpecialSymbols = self.__class__.ProcessSpecialSymbols
+        self.NormaliseText = self.__class__.NormaliseText
+        self.ProcessStopwords = self.__class__.ProcessStopwords
+        self.fake = self.__class__.fake
         self.ner = self.__class__.ner
 
     @settings(deadline=None)